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REVIEW article

Front. Oncol., 08 August 2022
Sec. Neuro-Oncology and Neurosurgical Oncology
This article is part of the Research Topic Molecular Biology of Biomarkers in Diagnosis and Treatment of Glioblastoma Multiforme View all 25 articles

Current understanding of the human microbiome in glioma

Jianhao LiangJianhao Liang1Ting LiTing Li1Jiajia ZhaoJiajia Zhao1Cheng WangCheng Wang1Haitao Sun,,*Haitao Sun1,2,3*
  • 1Neurosurgery Center, The National Key Clinical Specialty, The Engineering Technology Research Center of Education Ministry of China on Diagnosis and Treatment of Cerebrovascular Disease, Guangdong Provincial Key Laboratory on Brain Function Repair and Regeneration, The Neurosurgery Institute of Guangdong Province, Zhujiang Hospital, Southern Medical University, Guangzhou, China
  • 2Department of Laboratory Medicine, Clinical Biobank Center, Microbiome Medicine Center, Zhujiang Hospital, Southern Medical University, Guangzhou, China
  • 3Key Laboratory of Mental Health of the Ministry of Education, Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain Science and Brain-Inspired Intelligence, Southern Medical University, Guangzhou, China

There is mounting evidence that the human microbiome is highly associated with a wide variety of central nervous system diseases. However, the link between the human microbiome and glioma is rarely noticed. The exact mechanism of microbiota to affect glioma remains unclear. Recent studies have demonstrated that the microbiome may affect the development, progress, and therapy of gliomas, including the direct impacts of the intratumoral microbiome and its metabolites, and the indirect effects of the gut microbiome and its metabolites. Glioma-related microbiome (gut microbiome and intratumoral microbiome) is associated with both tumor microenvironment and tumor immune microenvironment, which ultimately influence tumorigenesis, progression, and responses to treatment. In this review, we briefly summarize current knowledge regarding the role of the glioma-related microbiome, focusing on its gut microbiome fraction and a brief description of the intratumoral microbiome, and put forward the prospects in which microbiome can be applied in the future and some challenges still need to be solved.

1 Introduction

Brain tumor is one of the deadliest cancers, in which glioma is globally recognized as the most common primary brain tumor in the central nervous system (CNS) (1). Gliomas are defined as brain tumors of glial origin (2), which have been divided into 6 different families: (1) Adult-type diffuse gliomas (the majority of primary brain tumors in neuro-oncology practice of adults, e.g., glioblastoma multiforme (GBM), IDH-wildtype); (2) Pediatric-type diffuse low-grade gliomas (expected to have good prognoses); (3) Pediatric-type diffuse high-grade gliomas (expected to behave aggressively); (4) Circumscribed astrocytic gliomas (“circumscribed” referring to their more solid growth pattern, as opposed to the inherently “diffuse” tumors in groups 1, 2, and 3); (5) Glioneuronal and neuronal tumors (a diverse group of tumors, featuring neuronal differentiation); and (6) Ependymomas (now classified by site as well as histological and molecular features) (1). According to the classification of World Health Organization (WHO), glioma can be divided into 1, 2, 3, and 4 grade, and GBM, the most aggressive type of glioma, is classified by the WHO as a grade 4 brain tumor associated with high mortality (1). Currently, the primary treatments for glioma mainly include surgery resection, radiotherapy, pharmacotherapy, etc. (3). Unfortunately, the histological hallmark of GBM include microvascular proliferation, cellular heterogeneity, bilateral invasion, and extensive pseudopalisading necrosis, which are responsible for its invasion, resistance, and recurrence after various therapies (4, 5).In addition, the underlying mechanisms of glioma pathogenesis remain largely unclear.

There are emerging lines of evidence that the human microbiome is highly associated with a wide variety of CNS diseases, including Parkinson’s disease (PD), Alzheimer’s disease (AD), multiple sclerosis (MS), autism spectrum disorder (ASD), stroke, et al. (610). However, little attention has been paid to the role of the human microbiome in glioma. The human microbiome may impact tumor biology across multiple tumor types, yet previous studies have not proved the exact mechanisms between the human microbiome and gliomas. Continuous research regarding the microbiome and gliomas is reshaping our understanding of the pathogenesis and treatment of CNS tumors (11, 12).

Increasing evidence has shown that tumor-related microbiome, including the gut microbiome and intratumoral microbiome, may play an indispensable role in pathogenesis and the pathophysiology of gliomas (1113). The bidirectional interactions between the gut and the brain have been extended to include the gut microbiome, namely “the microbiome-brain-gut axis” (14, 15), where the gut and the resident microbiome have been found to affect the cranial nerve signaling, immune induction and the regulation of the microenvironment of the CNS (16, 17). The crosstalk between the gut microbiome and brain has emerged to show a potential impact on gliomas, whereas more preclinical and clinical research are needed to illustrate involving mechanisms (18, 19).

On the other hand, while the brain was considered to be aseptic, recent studies have found that microbes are also integral components of the brain tissue itself in non-inflammatory and non-traumatic conditions (Table 1). Nejman et al. (11) had detected the presence of bacteria in GBM. Besides, studies have shown that tumor-associated microbiome may directly or indirectly regulate the process of disease and responses to treatment of tumors (11, 26). These microbes not only affect metabolic and immune functions of the hosts but also can perceive changes in the microenvironment and respond accordingly (27, 28).

TABLE 1
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Table 1 Summary of recent findings on brain tissue microbiome.

However, at present, relatively few reports have systematically discussed the role of the gut microbiome and intratumoral microbiome in the initiation, progression, and therapeutic response of gliomas. In this review, we will explain not only the potential relationship between gliomas and the microbiome but also the possible mechanism of the tumor-associated microbiome in the tumorigenesis and development of glioma (Figure 1). It is expected to illustrate the potential mechanism of microbial influence on glioma and provide a new direction for the diagnosis and treatment of gliomas.

FIGURE 1
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Figure 1 Hypothesis of the relationship among gut microbiome, intratumoral microbiome and glioma. Chemotherapy, radiotherapy and immunotherapy can change the glioma microenvironment and gut microenvironment, thus changing the composition of microbiome, thus shaping the immune microenvironment of glioma and further affecting the therapeutic efficacy.

2 The gut microbiome and glioma

The gut microbiome may be involved in the development, progress, and therapy of glioma through metabolic regulation on the epigenetic environments and the immune microenvironment (13, 29, 30). On the one hand, glioma tumorigenesis will change the metabolism of the human body. Glioma cells reprogram metabolism by dysregulating intracellular metabolites, thus glioma cells can proliferate rapidly (31). What’s more, the gut microbiome can regulate the development of glioma by changing the epigenetic landscape of tumor cells (32). On the other hand, the immune homeostasis of the brain requires the gut microbiome to play a role in the function of microglia, T cells, dendritic cells (DCs), and other immune cells (28). In addition, the central nervous system plays a critical role in the microbial composition and function, intestinal barrier, intestinal physiology, and whole-body immune system (33).

2.1 Effects of the gut microbiome on glioma by metabolism

Metabolites circulating through blood vessels and lymphatic vessels are one of the important signal molecules produced by the gut microbiome (32), which play an important role in the initiation and development of gliomas (Table 2).

TABLE 2
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Table 2 Effects of gut microbiota-metabolites on glioma.

2.1.1 Tryptophan

Tryptophan (Trp) has been proved that play a critical role in cell proliferation (50). The metabolism of tryptophan is regulated directly or indirectly by the gut microbiome (51). The metabolites of tryptophan have immune and neuroregulatory functions (52, 53), which may bring new opportunities for the application and transformation of gut microbiome-related research in drug therapy.

The level of free tryptophan in vivo is mainly determined by food intake and the activity of three tryptophan metabolic pathways. A very small part of free tryptophan is used in protein synthesis and the production of neurotransmitters (e.g., serotonin) and neuro-regulators (e.g., tryptamine). More than 95% of free tryptophan is metabolized through the tryptophan-canine pathway (53).

The aryl hydrocarbon receptor (AHR) is a ligand-activated transcription factor involved in regulating cell metabolism, proliferation, differentiation, cell death, and cell adhesion (34), which is widely and highly expressed in gliomas, especially in GBM (54). The gut microbiome is critically involved in dietary tryptophan metabolism and catalyzes tryptophan to produce AHR agonists. The latter binds to the AHR of astrocytes and gliomas to trigger related effects, including inducing T cell activation, regulating DC function, and recruiting tumor-associated macrophages (TAMs) through hypoxia-inducible factor 1 (HIF-1) (55). Currently, a study demonstrated a function of the neomorphic enzymatic product of mutant IDH, R-2-hydroxyglutarate (R-2-HG), in regulating amino acid metabolism in immune cells (56). Paracrine R-2-hydroxyglutarate not only further impaired monocyteto-DC differentiation in IDH-mutant glioma but also delays DC maturation and specifically suppresses MHC class I/II-mediated antigen (cross-)presentation and co-stimulation by IL-6, which translates to reduced T cell activating capacities (57). What’s more, R-2-HG is taken up by myeloid cells to enzymatically induce TDO2-dependent activation of the kynurenine pathway and the AHR (56), which excessively degraded tryptophan resulting in an amino acid starvation-like response that triggers the expression of LAT1–CD98, a key transporter for tryptophan in proliferating cells (58), which was previously linked to T cell activation and differentiation (59). At the same time, AHR in DC and TAM can also act on CD8+T cells to regulate the growth of glioma (60). What’s more, by consuming endogenous tryptophan, glioma cells activate AHR and to inhibit T cell function, induce T cell apoptosis, promote CD39 expression, and induce the differentiation of T cells mediated by interleukin 10 (IL-10) (61). AHR signaling pathway may modify metabolic pathways associated with amino acid, which inhibits the function of immune cells such as glioma-associated macrophages, T cells, antigen-presenting cells, astrocytes, and microglia, resulting in inhibitory changes in the immune microenvironment during the occurrence and development of gliomas, and promoting glioma invasion and migration (60, 62). The key factors for activation of the AHR pathway include IL4 inducible factor 1 (IL4I1), indoleamine-2, 3-dioxygenase 1/2 (IDO1/2) and Tryptophan 2, 3-dioxygenase (TDO). IL4I1 was positively correlated with AHR activity and negatively correlated with patient survival in both high-grade and low-grade gliomas (63). IDO1/TDO activated the Kynurenine-AHR signaling pathway, which was positively correlated with the pathological grade and Ki67 index of glioma as well as negatively correlated with overall survival (64). In conclusion, AHR is an important factor of the gut microbiome affecting the progression of glioma.

2.1.2 Arginine

Arginine, a semi-essential amino acid in humans, is critical for cell division, healing of wounds, removing ammonia from the body, immune function, and the release of hormones (65, 66). Arginine-derived metabolites, including polyamines and nitric oxide, may affect tumor growth. However, the gut microbiota can absorb dietary arginine to produce polyamines and nitric oxide (67, 68), which are released into the blood circulation system and then transferred to the brain through the blood-brain barrier (BBB). The polyamine may induce tumor cell proliferation and metastasis by up-regulating the expression of ornithine decarboxylase, spermidine, and spermine acetyltransferase, and Akt1 (39). At present, there is still a lot of controversy about the effect of nitric oxide on glioma cells, but its effect may largely depend on the concentration of nitric oxide, exposure time, cell type, and microenvironment (69). In addition, the gut microbiota can produce nitric oxide after reacting with superoxide radicals (70). Nitric oxide can interfere with T cell function by inducing T cell apoptosis (35, 36). Nitric oxide is more likely to cause damage to DNA and mitochondria in tumor cells to enhance the sensitivity of drug-resistant tumor cells to apoptosis during chemotherapy and immunotherapy (71).

In general, arginine starvation may have both beneficial and adverse effects on glioma. On the one hand, the gut microbiome depletes arginine in the tumor microenvironment, which inhibit T cell cycle regulators, thus inhibiting T cell proliferation (72). On the other hand, the consumption of nutritional arginine by the gut microbiome may be beneficial for the eradication of arginine-deficient tumors, which lack the argininosuccinate synthetase converting citrulline to arginine, and therefore can’t meet the high-energy demand in rapid proliferation (37, 38, 73). Arginine depletion in GBM can induce excessive autophagy, which will be toxic to tumor cells and may induce apoptosis (37, 38, 40).

2.1.3 Glutamate

Glutamate(Glu) is the most abundant excitatory neurotransmitter in the brain and plays a crucial role in brain structure and function including learning, memory, emotion, and cognition (74). Alpha-ketoglutarate (αKG), a product of Glu metabolism, is required in DNA demethylation. The gut microbiome can regulate the dynamic balance between αKG and Glu (41), and thus affect DNA methylation. At present, isocitrate dehydrogenase (IDH) gene mutation has been identified as an important biomarker of glioma. IDH1/IDH2 are NADP+-dependent enzymes that catalyze the oxidative decarboxylation of isocitrate to 2-oxoglutarate in cytosol and mitochondria (75). The mutation of the IDH1 and IDH2 protein leads to enzymes with neomorphic enzyme activity that results in the conversion of αKG to the metabolite D‐2‐hydroxyglutarate (D2HG) inhibiting αKG-dependent dioxygenase (7678). Thus, the mutation of the IDH1 and IDH2 causes abnormal DNA and histone methylation, ultimately leading to widespread hypermethylation of cytosine-phosphate-guanine (CpG) islands (79, 80). The IDH mutations highlight the interaction between metabolism and epigenetics. Thus, the dynamic interaction between the gut microbiome and epigenetic modifications can contribute to regulating glioma growth and development (81).

2.1.4 Glutamine

Glutamine (Gln) is a crucial energy source for glioma cells In addition, Glu and Gln are both involved in energy metabolism and neurotransmission in CNS (82). Starvation therapy has also been shown to reduce the proliferation activity of GBM cells (4245). However, more than half of the Glnwas synthesized in situ in CNS (83), as such the influence of Gln in the peripheral blood on the energy metabolism of glioma seems to be very limited. At present, most of the studies concerning energy metabolism of Gln in gliomas are confined to the CNS. Studies have shown that the Gln level in the peripheral blood circulation of glioma patients is lower than that of normal people (84). Gln may be used to compensate for the excessive energy consumption of glioma cells. The majority of Gln in the gut comes from the diet, and the rest is produced by various types of bacteria in the gut (85). In condition of intestinal lesions such as inflammatory bowel disease or irritable bowel syndrome where the permeability of the intestinal barrier and BBB was increased (86), the glutaminergic receptor in CNS is affected by the microbiome-gut-brain axis and in turn alters the energy metabolism of CNS. Moreover, changes in the gut microbiome can directly or indirectly alter the level of glutamine in the brain (41), ultimately affecting the energy supply of gliomas. Restricting calories and the ketogenic diet, which limit energy metabolism of glioma cells and induce metabolic oxidative stress and apoptosis, may be potential metabolic therapies for glioma (87, 88).

2.1.5 Short-chain fatty acids

Short-chain fatty acids (SCFAs), formed by the fermentation of undigested carbohydrates by gut probiotics such as Lactobacillus and Bifidobacterium, can influence the glucose and energy metabolism (89, 90). The most common SCFAs included acetate, propionate, and butyrate (91). Studies have demonstrated that SCFAs can enter the circulation through the intestinal mucosa and regulate the maturation process and function of microglia (92). Microglia, known as brain macrophages, are essential for brain development and physiological functions (92). The deficiency of the gut microbiome can lead to defects in the morphology and function of microglia, which can be partly restored by replanting the complex gut microbiome (92). The disturbance of the abundance and composition of the gut microbiome that decreases circulatory SCFAs not only influences microglial maturation and function but also leads to a state of chronic stress, which has a profound effect on the development and prognosis of tumors through stress-related pathways (48).

SCFAs exert both local and systemic effects through comprehensive signal networks, and the main mechanisms involving binding to G-protein coupled receptors and inhibition of histone deacetylase activity (93, 94). These intracellular mechanisms have been found in the gut, gut-related immune tissues, as well as in the nervous system (94, 95). Butyrate affects the immune system by inducing Treg differentiation and regulating inflammation (49). What’s more, SCFAs can traverse the BBB and enter the brain, subsequently modulate the microglia through epigenetic modifications (96). Acetyl-CoA, an optional products of lipids, functions in regulating protein acetylation (97). Acetate is one of the most abundant nutrients in the brain, which can be absorbed by tumor cells, and affect the production of acetyl-CoA in GBM (46). Acetylation of Rictor by acetyl-CoA actives mTORC2, which drives the proliferation and survival of GBM (47).

In general, the role of gut microbiota-derived metabolites in the glioma microenvironment can be demonstrated in Figure 2. However, it remains to be seen that whether these metabolites produced by the gut microbiome also disrupt the BBB and induce immunosuppression in the brain.

FIGURE 2
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Figure 2 Gut metabolites affect the functions of immune cells and glioma immune microenvironment, which shapes the immune state into the suppressive type. Metabolites also change the epigenetic landscape of glioma cells, then altering the behavior of tumor.

2.2 Effects of the gut microbiome on the immune microenvironment of glioma

Although glioma seldom metastasize to other parts of the body, they can be seen as a systemic disease affected by and altering the homeostasis of the body’s immune system (28). The formation of a healthy brain and balanced brain immunity requires the gut microbiome, which plays a role in the function of microglia, T cells, DCs and other immune cells (33).

2.2.1 The transformation of the GBM immune microenvironment

Previously, due to the existence of the BBB and the lack of a classical lymphatic drainage system, the brain has been considered an immune-privileged organ (98). The resultant disruption of BBB during the process of tumorigenesis may permit the entry of peripheral immune cells into the brain microenvironment, such as T cells, macrophages, and B cells (99). Specifically, a major character of the GBM immune microenvironment is the TAMs (100). In the process of gliomagenesis, due to the destruction of the BBB, the resulting bidirectional communication between immune cells and glioma cells creates an immunosuppressive microenvironment that promotes the survival and growth of tumor (101). Then, Glioma-associated microglia and macrophages are recruited to glioma tissues and can be polarized into M2-like cells, which become tumor-supportive and immunosuppressive (102, 103). The increase of M2-like cells in the brain was associated with GBM and negatively correlated with the survival time of glioma patients (104). Besides, previous studies have demonstrated that functional lymphatic vessels link CNS with lymphatic drainage, and that its dysfunction may related with brain cancer (105), further, showing the uniqueness of the brain as an immune-privileged organ (106). The lymphatic outflow of cerebrospinal fluid is reduced in GBM, thus more pro-inflammatory and chemokines can be captured in the glioma microenvironment (107).

2.2.2 Effects of the gut microbiome on glioma tumorigenesis and development by the immune system

Present studies have demonstrated that gut commensal bacteria of newborns can affect the development and function of the immune system (108). Moreover, the gut microbiome plays an indispensable role in the induction, training, regulation, and function of the host immune system (109, 110). In the presence of some gut commensal bacteria, human DCs can induce the differentiation of T helper (Th) cells into Th1 and Th17, promoting the secretion of pro-inflammatory factors (111). Studies suggested that B. fragilis can induce the differentiation of IL10-secreting Tregs, which can impair the anticancer immunity of Th1 and are related to the progression and invasiveness of gliomas (112). Moreover, interestingly, the certain gut microbiome may lead to immunosuppression, which may result in severe local immunosuppression in patients with GBM (113, 114).

Recent studies have shown that the gut microbiome can affect the morphology and function of microglia. For example, in the absence of particular gut microbiome, the microglia of germ-free (GF) mice altered in their morphological characteristics and gene expression profiles, and their maturation process were inhibited (85, 115). The increase in the number of immature microglia is considered to functionally impair the immune activation and stress response in GF mice, which is involved in the down-regulation of inflammatory factors and the inhibition of the innate immune signal pathway (49, 115). In addition, the entry of the gut microbiome and their metabolites into the systemic circulation can also affect the morphology and function of CNS microglia (116). As aforementioned, SCFAs, fermented by bacteria, can control the maturation process of microglia, whose lack may lead to the disruption of the structure and immune function of CNS microglia (115, 117).

Whereas the exact mechanism of the gut microbiome affecting human brain microglia remains unclear,. the structure and function of microglia are closely associated with the diversity and specificity of the gut microbiome. The smallest colonies of three kinds of bacteria (i.e., Bacteroides distasonis, Lactobacillus salivarius, and Clostridium cluster XIV) can maintain the activation and growth of microglia (115). Recently, a study, for the first time, found that two antibiotics that change the distribution of the gut microbiome can promote the growth of gliomas by inducing early damage of NK cells and phenotypic changes of microglia. In conclusion, the regulation of the gut microbiome can induce alterations of microglia and change the immune microenvironment of glioma.

2.2.3 Effects of the gut microbiome on the therapeutic efficacy of glioma by the immune system

It is reported that the gut microbiome plays a therapeutic role in several types of cancer. Antibiotics may impair the efficacy of chemotherapy and radiation since they upset the balance of the gut microbiome (118). Some gut microbiome can metabolize chemotherapeutic drugs, which leads to drug resistance (119, 120). Currently, temozolomide (TMZ) is a first-choice alkylating agent considered as a gold standard chemotherapeutic drug for newly diagnosed and recurrent GBM (121). Although the new alkylating agent TMZ can improve the outcome of GBM patients and has an impact on the treatment of malignant gliomas, GBM is still an incurable disease. Orally administered TMZ is converted to 5-(3-methyltriazen-l-yl) imidazole-4-carboximide (MTIC) in the blood (122, 123). MTIC is broken down to methyldiazonium cation and 5-aminoimidazole-4-carboxamide (AIC) (122). Subsequently, methyldiazonium cation transfers its methyl group to DNA, RNA, and cellular proteins (123). These methyl groups are transferred to the 6th position oxygen atoms of guanine and O6-methylguanines are formed. Methylation on the O6 position of guanine is a cytotoxic lesion, which stimulates the mismatch of nucleotide bases during DNA replication (124). If O6-methylguanine-DNA methyltransferase (MGMT) mediated repair does not occur, mismatch repair(MMR) proteins identify mispairing in the newly synthesized strand and thymine excision or DNA damage, followed by cell cycle arrest, leading to programmed cell death (125). Besides, MGMT promoter methylation can predict responsiveness to alkylating chemotherapies in glioblastoma. MGMT testing to select patients with glioblastoma for clinical trials is feasible, and withholding TMZ from patients without MGMT promoter methylation is justified in this context.

Clinically, a majority of patients do not respond to TMZ during the course of their treatment and the efficacy of TMZ is limited by antibiotics due to the lack of related immune response (126). Activation of DNA repair pathways is the principal mechanism for this phenomenon that detaches TMZ-induced O-6-methylguanine adducts and restores genomic integrity (125). Consequently, much remains to be clarified; the mechanism of chemoresistance and the roles of related molecules including MGMT, mismatch repair enzymes, DNA excision repair enzymes, PARP, p53, ABC superfamily, and apoptosis-related factors. Not only approaches to increase sensitivity to TMZ but also understanding the cellular biology underlying chemoresistance and the stem cell phenotype will be helpful to prolong the survival time of patients with GBM.

Compared with surgical resection and radiotherapy (RT) alone, the combination of RT and TMZ can improve the 2-year survival rate from 10% to 27% (127). Previous studies have demonstrated that the destruction of the gut microbiome affects the anti-tumor effect of chemotherapy by changing the tumor microenvironment (128, 129), and shown that the gut microbiome can regulate the sensitivity of patients to chemotherapy. Cyclophosphamide is another major alkylating anticancer drug, and its anti-tumor efficacy is also affected by the gut microbiome. What’s more, cyclophosphamide is capable of altering the composition of the gut microbiome in healthy mice (130). However, the changes in microbiome induced by TMZ in the treatment of gliomas are rarely studied.

Studies in the glioma mice model have reported that the abundance of Akkermansia, Bifidobacterium, and Verrucomicrobia increased at 7 days after TMZ treatment (126), which the abundance of Anaerotruncus increased at 21 days after TMZ treatment (126). These results suggest that the gut microbiome may play a crucial role in anti-tumor response to chemotherapy and immunotherapy.

Studies in mice glioma models have shown that Akkermansia is involved in glucose and lipid metabolism, thus improving metabolic disorders (131). Bifidobacterium plays an anti-inflammatory and immunomodulatory role by inducing regulatory T cells and regulating the release of inflammatory cytokines (132, 133). Besides, Bifidobacterium is also capable of producing folic acid, which is intimately linked to the DNA methylation of MGMT (134). The status of MGMT promoter methylation not only is involved in the inhibition of tumor proliferation but also is related to the anti-tumor effect of TMZ. As a result, it may improve the therapeutic efficacy of TMZ by increasing Bifidobacterium, which induced methylation of MGMT promoter by producing folic acid. It was also found that glutathione and lipid metabolism pathways were up-regulated after TMZ treatment, suggesting that there was a connection between TMZ, oxidative stress, and fatty acid levels (126). The increase of Akkermansia and Bifidobacterium and the decrease of Anaerotruncus may be one of the mechanisms of anti-tumor response to TMZ therapy. Further studies are required to confirm the role of the specific gut microbiota in the anti-tumor response of TMZ.

The immunosuppressive microenvironment limits the efficacy of GBM immunotherapy. Balancing the abundance and composition of the gut microbiome can reduce immunosuppression in the GBM tumor microenvironment (32). What’s more, GBM can attract CTLA-4-expressing T cells and PD-L1-expressing T cells, resulting in inhibiting the activation and continuation of the immune response of cytotoxic T cells. PD-1 and CTLA-4 cells can produce a strong synergistic inhibitory effect in T cells (135). Currently, immunotherapy strategies of GBMs include monoclonal antibodies (PD-1/PD-L1) that block suppressor T cell pathways (136). Unexpectedly, the anti-tumor effects of Bifidobacterium cooperating with the innate immune system and PD-L1 blocking were observed. These studies suggested that oral administration of Bifidobacterium in mice can affect the immune microenvironment of glioma, including induction of DC maturation, stimulation of tumor-specific CD8+T cells, recruitment of other immune cells, and activation of type I interferon signal, which hinder tumor growth (137). PD-1 blockade therapy combined with antibiotic therapy can damage the therapeutic effect and reduce overall survival (138). On the other hand, the anti-CTLA-4 antibodies therapy induces intestinal mucosal injury, gut microbiome imbalance, and translocation of specific Burkholderia and Bacteroides fragilis, which can induce IL-12 activation, DC proliferation, activate fecal specific Th1 cells, and work together to create an ideal immune microenvironment for CTLA-4 antibody to stimulate a protective anti-tumor immune response (139). Therefore, the potential effect of the gut microbiome on the treatment and intervention of glioma should be further studied.

Other immunotherapies, such as chimeric antigen receptor T cell (CAR-T) therapy, oncolytic virotherapy, and tumor vaccine therapy, have also been widely studied in the treatment of GBM (140, 141). The first CAR-T cell therapy in GBM, interleukin-13 receptor α 2(IL13Rα2), is the target (142). With the deepening ofresearch, more and more targets have been excavated. Three Phase I trials of CAR T cells targeting IL13Ralpha2, Her2/CMV, and EGFRvIII in the treatment of recurrent GBM have shown promising results (143, 144). However, as there is a lack of clinical efficacy in the application, CAR-T therapy has not been used in the clinical treatment of GBM. Moreover, oncolytic virotherapy and tumor vaccine for GBM treatment is still in the clinical trial stage. None of these treatments have been proved clinically. Currently, few studies are showing that the gut microbiome has an effect on these treatments. Interestingly, studies have demonstrated that the regulation of the gut microbiome can enhance PD-L1 therapy (145). What’s more, there are common immunological characteristics between immune checkpoint therapy and these immunotherapies. Consequently, the regulation of the gut microbiome may have the potential to improve the efficacy of these immunotherapies (146). We speculate that the gut microbiome can be used to maximize the effectiveness of existing anti-tumor approaches, and could even be used as a biomarker to predict the prognosis and therapy response of glioma patients (147). However, further studies are needed to determine the detailed functions of certain gut microbiome components in the treatment of gliomas.

3 The intratumoral microbiome and glioma

The gut microbiome is known to modulate anti-tumor immune responses and can predict the efficacy of treating with immune checkpoint inhibitors in cancer patients (148). Nevertheless, the intratumoral microbiome, which directly interacts with the local tumor microenvironment and tumor immune microenvironment, intuitively, may have an immediate and ultimate effect on the progression and therapeutic effect of cancer (149).

3.1 The presence of the intratumoral microbiome in glioma

Traditionally, commensal microbiota of tumor-bearing tissues is considered resident only in tumors direct contact with the outside, such as gastrointestinal cancers. However, evidence have been emerging that broader types of cancer, originating from some “sterile” organs, may harbor microbes.

A recent study provided a comprehensive characterization of the intratumoral microbiota with a large cohort across seven tumor types (11). The group took rigorous and systematic methods, combining histological staining, DNA sequencing, and tissue culture. What’s more, this is the first time that bacteria have been reported in GBM with histological evidence, showed that the intratumoral bacteria are predominantly present in the cytoplasm of both immune cells and tumor cells. Bacterial lipopolysaccharide (LPS) and lipoteichoic acid (LTA) are the main components of the cell wall of gram-negative and gram-positive bacteria, respectively. This study adopted immunostaining of LPS and LTA in human GBM tissue sections and reported that bacterial LPS was present but LTA was not in GBM, whereas gram-positive bacteria (corresponding to LTA) were detected by 16S rDNA sequencing. This suggests that intratumoral bacteria may have altered their envelopes and had defects in their cell walls, especially gram-positive bacteria. Since there were reports describing the processing of bacterial LPS by macrophages as very slow (150), LPS signals may therefore be more easily found in cancer cells and immune cells. Although the localization of bacterial LPS and 16S rRNA were examined separately by immunohistochemistry and RNA fluorescence in situ hybridization (FISH), the presence of bacteria inside glioma cells needs to be confirmed by transmission electron microscopy (TEM).

In addition, they also revealed the composition of the intratumoral microbiome in glioma by a multiplexed 16s rDNA sequencing method. They profiled 40 human GBM samples and discovered that Simpson diversity index and the numbers of bacterial species of GBM microbiome ranked third out of the seven tumor types. At the phylum level, the microbiota in GBM tissue was predominated by Proteobacteria and Firmicutes, followed by Actinobacteria and Bacteroidetes. However, they didn’t find characteristic communities of bacteria due to lack of contrast with normal brain tissue (11).

Subsequently, Zhao et al. proposed a three-dimensional (3D) quantitative in situ intratumoral microbiota imaging strategy that combines tissue clearing, immunofluorescent labeling, optical sectioning microscopy, and image processing, to visualize bacterial components colonized in gliomas in a contamination-free manner. They also demonstrated the irregular shapes and sparse distribution of bacterial LPS signals within human glioma samples, mostly localized near nuclear membranes or in the intercellular space (12). This study provides a novel and promising method to interrogate the direct interactions between the resident microbial community and the tumor microenvironment, and further, push forward the exploration concerning the presence of microbiota in the brain tumors.

Although there are only a few studies on the existence and roles of intratumoral microbiota in gliomas, we believe that it will become one of the key issues in elucidating the pathogenesis and exploring treatments of glioma, given the emerging blockbuster papers interpreting the important physiological roles of microbiota in tumors such as breast cancer.

3.2 The possible origins of the intratumoral microbiome in glioma

Exploring possible origins of intratumoral microbiota is another key point, which will help us find ways to detect their presence, determine the cause and effect with tumors, and explore their physiological roles.

The origins of the microbiome in glioma remain to be clarified. Here are some possible sources of the intratumoral microbiome in the brain. One possibility is that bacteria may already exist in brain tissues before the occurrence of the tumor, which subsequently induce the initiation and migration of gliomas. Alternatively, the gliomas may change the local microenvironment, allowing bacteria to invade the tumor from other places. After tumorigenesis, the destruction of the BBB and cell barriers, coupled with relative immunosuppression, may increase the likelihood of bacteria moving through the circulatory system to the normally sterile sites (151). Furthermore, gut bacteria may enter the brain through the vagus nerve innervating the gut or crossing the BBB (152). Besides, bacteria may gain access into the brain through neuronal retrograde transport via the trigeminal nerve, olfactory nerve, and facial nerve connected to the brain (153, 154). The finding that intracellular bacteria reside in tumors in the aforementioned study also raises the possibility that these bacteria are transported into tumor-bearing tissues along with the migration of immune and cancer cells (11). However, all of these speculations have yet to be verified.

3.3 The potential effect of the intratumoral microbiota on glioma

Studies began to demonstrate that there is a non-negligible correlation between intratumoral microbiome and tumor pathological characteristics. A potential carcinogenesis mechanism of pancreatic cancer has been proposed in a report that the inflammation induced by the innate immune response to pathogenic bacteria was associated with pancreatic carcinogenesis (155). LPS has been shown to promote the development of pancreatic cancer by blocking the MyD88-dependent pathway while blocking TLR4 and MyD88-independent pathway has a protective effect on pancreatic cancer (156). Similar mechanisms concerning the inflammatory response of the innate immune system may be implicated in other types of cancer. Recently, Fu et al. demonstrated that the depletion of intratumor bacteria significantly reduced lung metastasis without affecting primary tumor growth in a spontaneous murine breast-tumor model (157). During metastasis colonization, the intratumoral bacteria carried by circulating tumor cells enhance their resistance to fluid shear stress by reorganizing actin cytoskeleton, thus promoting the survival of host cells. Their further study demonstrated that intratumoral administration of specific bacterial strains isolated from tumor-resident microbiota promoted metastasis in two mouse tumor models with significantly different levels metastatic potential (157). These findings suggest that intratumoral bacteria are functional and may be involved in tumor tumorigenesis and development, which provides a research direction for the mechanism of intratumoral bacteria in the future. Moreover, intracellular microbiome may be a potential target for early prevention of many kinds of cancer metastasis.

In general, research regarding the role of the intratumoral microbiome in the occurrence and development of tumors is still limited, let alone gliomas. Whether the intratumoral microbiome is involved in tumorigenesis or if it is only a bystander effect caused by the tumor microenvironment, which has not been fully clarified. Although, some researchers consider that the intratumoral microbiome may be inducing tumorigenesis through related mechanisms results in genetic alterations and initiation of the glioma. In general, the potential roles of the microbiome in glioma requires to be further validation.

3.4 Intratumoral microbiota as a potential biomarker of glioma

There are three types of links between microbiome and cancer, which allows microbiota to be described as potential biomarkers in cancer, including increase or decrease in numbers of specific organisms, the use of a combination model of several organisms as predictors and evaluating their performance, and finally altering in microbial diversity indexes that give an overall landscape of the microbial community (158). These associations can be extended to study and identify specific intratumoral microbiome as biomarkers of gliomas.

In the first approach, specific microbial species and/or their unique metabolites can be analyzed and selected to serve as biomarkers to predict the progression, efficacy, and recurrence of gliomas (159). Another method is to use the combined model of several microbiota to maximize the area under the Receiver Operating Characteristics (ROC) curve or Area Under Curve (AUC) (160). Finally, alterations in microbial diversity indicators are used as an alternative to changes in the microbiome, which may be associated with certain tumor features, independently of what organisms are present or absent (158).

As the host tissue and intratumoral microbiome can be affected by carcinogenesis, the genetic heterogeneity of the intratumoral microbiome may provide an opportunity for the diagnosis and localization of gliomas (161, 162). For instance, the above-mentioned study by Nejman et al. found that the Proteobacteria to Firmicutes (P/F) ratio appears to vary between tumor types and the predicted functions of bacteria is associated with tumor types and subtypes. These correlations between the profile of intratumoral microbiome and its host tumors, identified by the state-of-the-art DNA sequencing and data analyzing technologies, may well serve the clinical diagnosis (11).

So far, there is no evidence in the literature on intratumoral microbiota as a potential biomarker of glioma. And due to relatively low biomass of the tumor microbiome and the possible contamination and interference in the process of sample collection and sequencing, the diagnostic value of the intratumoral microbiome is undermined. Also, due to a requirement of biopsy samples, the diagnostic value of sequencing and analysis-based methods is limited (163). More research is needed to improve experimental methods and procedures if the intratumoral microbiome is to be used to diagnose and predict tumors

4 Challenges and perspectives

In the past few decades, microbiome studies have provided a great deal of evidence linking the human microbiome and cancer. The tumor microbiome is claimed to play a role in regulating tumor progression and affect the therapeutic efficacy, which has also been increasingly attracting attention. Therefore, understanding the relationship between microbiome and gliomas is beneficial to elucidate the pathogenesis and corresponding molecular characteristics of gliomas. Moreover, it may eventually be transformed into useful clinical biomarkers for the prevention, diagnosis, and treatment of gliomas (Figure 3.). Although the role of the glioma microbiome has not yet been fully determined, mounting evidence and research in these areas are accumulating.

FIGURE 3
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Figure 3 Application and transformation of microbiome. Stool and/or tumor samples from the population are collected and then sequenced. According to the analysis of the sequencing results, glioma patients can be diagnosed and classified, as well as guided personalized treatment.

In the one hand, there are still some problems to be discussed between gut microbiome and glioma. Firstly, the relationships between the gut microbiome predicting the efficacy of immunotherapy and race and drug use are not clear. Secondly, the mechanism of the effect of the gut microbiome on the treatment of glioma needs to be further clarified. Thirdly, the timing, dosage, and course of treatment of antibiotics in the process of immunotherapy are still unknown.

In the other hand, there are still many problems to be solved between intratumoral microbiome and glioma. For example, how to avoid potential contamination in the process of collecting tumor tissues, blood, and fecal samples for sequencing remains an outstanding issue (164). In order to enhance the comparability across studies and increase the explanatory power of the research results, it is urgent to establish standardized workflows for tumor microbiome sequencing from sample collection to bioinformatics analysis (165). More preclinical and clinical studies are needed to evaluate not only the composition of the intratumoral microbiome but also the function and multi-omics information of the tumor microbiome. At present, there is still a lack of longitudinal studies to monitor ongoing changes in the microbiome during cancer progression. In addition, changes in external factors may also lead to the alteration of the microbiome composition over time, which may affect the results of microbiome manipulation strategies (166).

Moreover, special attention should be paid to in-depth mechanistic studies to better determine the relationship between microbiome and carcinogenesis. Despite the ability of genomic sequencing technology in profiling the taxonomic diversity of the complex microbiome with low biomass, the sequent loss of spatial information prevents a comprehensive view of the communication between bacteria and cells in the tumor microenvironment. In situ bacterial detection techniques, including IHC, FISH, and electron microscopy, etc., have been used to locate bacteria and decipher the host-bacteria communication in tumors. However, these methods are not yet capable of simultaneously detecting multiple markers, and thin tissue slices provide a limited field of view. Emerging advances in multiplexing bacteria probing (167, 168) and three-dimensional visualization of thick tissues (169, 170) are expected to provide an unprecedented insight into the complicated tumor microbiome interactions. Finally, the pioneering spatial multi-omics technology may drive the mapping of the landscape of glioma host-microbiota interactions in the near future (171). The development of organs on a chip (OOCs) provides a brand-new way for experiments (Wu et al., 2020). The OOCs aim to recur the physiological environment and functionality of human organs on a chip by simulating the crucial organotypic cellular architecture and functionality, 3D extracellular matrix, biochemical factors, and biophysical cues. It provides access to the experimental research on the mechanism of microbiome and glioma (Kim et al, 2021).

In addition to the associated reports on gut microbiome and intratumoral bacteria with glioma, some findings revealed that oral microbiota features and gene functions are associated with glioma malignancy and the IDH1 mutation (172). Certainly, animal and cell experiments are further needed to determine the causality of IDH1 mutation on the oral microbiome under glioma status.

To summarize, tumor microbiology is an exciting field to be explored. It is a desire to find new treatment strategies for glioma, including targeted and individualized therapy, to maximize the effect of anti-tumor therapy. More attention is worth paying to explore the value of the glioma-associated microbiome as a potential biomarker of diagnosis, treatment, and prognosis. The establishment of collaborative multidisciplinary networks will be based on enhancing knowledge and optimizing resources. We should spare no effort to overcome the challenges and ensure that we are ready at all times.

Author contributions

The work presented here was carried out in collaboration among all authors. HS and JL conceived and designed the review; JL wrote the paper. CW and TL helped with literature searching and summarizing. HS and JZ revised the manuscript. All authors read, commented on, and approved this manuscript.

Funding

This research was supported by Guangdong Basic and Applied Basic Research Foundation (2020A1515010038); Pearl River Science and Technology Nova Program of Guangzhou (201710010047); Presidential Foundation of Zhujiang Hospital of Southern Medical University (No. yzjj2018rc03).

Acknowledgments

We thank Mr. Jiawen Chen and Miss. Jinyuan Ma for helpful discussions and insightful comments.

Conflict of interest

Figures in this manuscript were created with BioRender.com.

The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be constructed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Louis DN, Perry A, Wesseling P, Brat DJ, Cree IA, Figarella-Branger D, et al. The 2021 WHO classification of tumors of the central nervous system: a summary. Neuro Oncol (2021) 23:1231–51. doi: 10.1093/neuonc/noab106

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Li ZH, Guan YL, Liu Q, Wang Y, Cui R, Wang YJ. Astrocytoma progression scoring system based on the WHO 2016 criteria. Sci Rep (2019) 9:96. doi: 10.1038/s41598-018-36471-4

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Wang G, Zhou H, Tian L, Yan T, Han X, Chen P, et al. A prognostic DNA damage repair genes signature and its impact on immune cell infiltration in glioma. Front Oncol (2021) 11:682932. doi: 10.3389/fonc.2021.682932

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Mills BN, Albert GP, Halterman MW. Expression profiling of the MAP kinase phosphatase family reveals a role for DUSP1 in the glioblastoma stem cell niche. Cancer Microenviron (2017) 10:57–68. doi: 10.1007/s12307-017-0197-6

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Chen Z, Hambardzumyan D. Immune microenvironment in glioblastoma subtypes. Front Immunol (2018) 9:1004. doi: 10.3389/fimmu.2018.01004

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Probstel AK, Baranzini SE. The role of the gut microbiome in multiple sclerosis risk and progression: Towards characterization of the MS microbiome. Neurotherapeutics (2018) 15:126–34. doi: 10.1007/s13311-017-0587-y

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Johnson D, Letchumanan V, Thurairajasingam S, Lee LH. A revolutionizing approach to autism spectrum disorder using the microbiome. Nutrients (2020) 12:1983. doi: 10.3390/nu12071983

CrossRef Full Text | Google Scholar

8. Leblhuber F, Ehrlich D, Steiner K, Geisler S, Fuchs D, Lanser L, et al. ). the immunopathogenesis of alzheimers disease is related to the composition of gut microbiota. Nutrients (2021) 13:361. doi: 10.3390/nu13020361

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Lee YT, Mohd Ismail NI, Wei LK. Microbiome and ischemic stroke: A systematic review. PLoS One (2021) 16:e0245038. doi: 10.1371/journal.pone.0245038

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Lorente-Picon M, Laguna A. New avenues for parkinsons disease therapeutics: Disease-modifying strategies based on the gut microbiota. Biomolecules (2021) 11:433. doi: 10.3390/biom11030433

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Nejman D, Livyatan I, Fuks G, Gavert N, Zwang Y, Geller LT, et al. The human tumor microbiome is composed of tumor type-specific intracellular bacteria. Science (2020) 368:973–80. doi: 10.1126/science.aay9189

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Zhao J, He D, Lai HM, Xu Y, Luo Y, Li T, et al. Comprehensive histological imaging of native microbiota in human glioma. J Biophotonics (2022) 15:e202100351. doi: 10.1002/jbio.202100351

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Fan Y, Su Q, Chen J, Wang Y, He S. Gut microbiome alterations affect glioma development and Foxp3 expression in tumor microenvironment in mice. Front Oncol (2022) 12:836953. doi: 10.3389/fonc.2022.836953

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Rhee SH, Pothoulakis C, Mayer EA. Principles and clinical implications of the brain-gut-enteric microbiota axis. Nat Rev Gastroenterol Hepatol (2009) 6:306–14. doi: 10.1038/nrgastro.2009.35

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Montiel-Castro AJ, Gonzalez-Cervantes RM, Bravo-Ruiseco G, Pacheco-Lopez G. The microbiota-gut-brain axis: neurobehavioral correlates, health and sociality. Front Integr Neurosci (2013) 7:70. doi: 10.3389/fnint.2013.00070

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Ley RE, Peterson DA, Gordon JI. Ecological and evolutionary forces shaping microbial diversity in the human intestine. Cell (2006) 124:837–48. doi: 10.1016/j.cell.2006.02.017

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Mayer EA, Knight R, Mazmanian SK, Cryan JF, Tillisch K. Gut microbes and the brain: paradigm shift in neuroscience. J Neurosci (2014) 34:15490–6. doi: 10.1523/JNEUROSCI.3299-14.2014

PubMed Abstract | CrossRef Full Text | Google Scholar

18. D’alessandro G, Antonangeli F, Marrocco F, Porzia A, Lauro C, Santoni A, et al. Gut microbiota alterations affect glioma growth and innate immune cells involved in tumor immunosurveillance in mice. Eur J Immunol (2020) 50:705–11. doi: 10.1002/eji.201948354

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Qiu Q, Lin Y, Ma Y, Li X, Liang J, Chen Z, et al. Exploring the emerging role of the gut microbiota and tumor microenvironment in cancer immunotherapy. Front Immunol (2020) 11:612202. doi: 10.3389/fimmu.2020.612202

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Alonso R, Pisa D, Aguado B, Carrasco L. Identification of fungal species in brain tissue from alzheimers disease by next-generation sequencing. J Alzheimers Dis (2017) 58:55–67. doi: 10.3233/JAD-170058

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Zhan X, Stamova B, Jin LW, Decarli C, Phinney B, Sharp FR. Gram-negative bacterial molecules associate with Alzheimer disease pathology. Neurology (2016) 87:2324–32. doi: 10.1212/WNL.0000000000003391

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Emery DC, Shoemark DK, Batstone TE, Waterfall CM, Coghill JA, Cerajewska TL, et al. 16S rRNA next generation sequencing analysis shows bacteria in alzheimers post-mortem brain. Front Aging Neurosci (2017) 9:195. doi: 10.3389/fnagi.2017.00195

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Westfall S, Dinh DM, Pasinetti GM. Investigation of potential brain microbiome in alzheimers disease: Implications of study bias. J Alzheimers Dis (2020) 75:559–70. doi: 10.3233/JAD-191328

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Pisa D, Alonso R, Fernandez-Fernandez AM, Rabano A, Carrasco L. Polymicrobial infections in brain tissue from alzheimers disease patients. Sci Rep (2017) 7:5559. doi: 10.1038/s41598-017-05903-y

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Allnutt MA, Johnson K, Bennett DA, Connor SM, Troncoso JC, Pletnikova O, et al. Human herpesvirus 6 detection in alzheimers disease cases and controls across multiple cohorts. Neuron (2020) 105:1027–35.e1022. doi: 10.1016/j.neuron.2019.12.031

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Roy S, Trinchieri G. Microbiota: a key orchestrator of cancer therapy. Nat Rev Cancer (2017) 17:271–85. doi: 10.1038/nrc.2017.13

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Belkaid Y, Naik S. Compartmentalized and systemic control of tissue immunity by commensals. Nat Immunol (2013) 14:646–53. doi: 10.1038/ni.2604

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Dzutsev A, Badger JH, Perez-Chanona E, Roy S, Salcedo R, Smith CK, et al. Microbes and cancer. Annu Rev Immunol (2017) 35:199–228. doi: 10.1146/annurev-immunol-051116-052133

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Li XJ, You XY, Wang CY, Li XL, Sheng YY, Zhuang PW, et al. Bidirectional brain-gut-microbiota axis in increased intestinal permeability induced by central nervous system injury. CNS Neurosci Ther (2020) 26:783–90. doi: 10.1111/cns.13401

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Deidda G, Biazzo M. Gut and brain: Investigating physiological and pathological interactions between microbiota and brain to gain new therapeutic avenues for brain diseases. Front Neurosci (2021) 15:753915. doi: 10.3389/fnins.2021.753915

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Phan LM, Yeung SC, Lee MH. Cancer metabolic reprogramming: importance, main features, and potentials for precise targeted anti-cancer therapies. Cancer Biol Med (2014) 11:1–19. doi: 10.7497/j.issn.2095-3941.2014.01.001

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Lyu Y, Yang H, Chen L. Metabolic regulation on the immune environment of glioma through gut microbiota. Semin Cancer Biol (2021) S1044–579X: 00133–4. doi: 10.1016/j.semcancer.2021.05.005

CrossRef Full Text | Google Scholar

33. Zhang Z, Tang H, Chen P, Xie H, Tao Y. Demystifying the manipulation of host immunity, metabolism, and extraintestinal tumors by the gut microbiome. Signal Transduct Target Ther (2019) 4:41. doi: 10.1038/s41392-019-0074-5

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Zaragoza-Ojeda M, Apatiga-Vega E, Arenas-Huertero F. Role of aryl hydrocarbon receptor in central nervous system tumors: Biological and therapeutic implications. Oncol Lett (2021) 21:460. doi: 10.3892/ol.2021.12721

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Rivoltini L, Carrabba M, Huber V, Castelli C, Novellino L, Dalerba P, et al. Immunity to cancer: attack and escape in T lymphocyte-tumor cell interaction. Immunol Rev (2002) 188:97–113. doi: 10.1034/j.1600-065X.2002.18809.x

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Harari O, Liao JK. Inhibition of MHC II gene transcription by nitric oxide and antioxidants. Curr Pharm Des (2004) 10:893–8. doi: 10.2174/1381612043452893

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Syed N, Langer J, Janczar K, Singh P, Lo Nigro C, Lattanzio L, et al. Epigenetic status of argininosuccinate synthetase and argininosuccinate lyase modulates autophagy and cell death in glioblastoma. Cell Death Dis (2013) 4:e458. doi: 10.1038/cddis.2012.197

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Khoury O, Ghazale N, Stone E, El-Sibai M, Frankel AE, Abi-Habib RJ. Human recombinant arginase I (Co)-PEG5000 [HuArgI (Co)-PEG5000]-induced arginine depletion is selectively cytotoxic to human glioblastoma cells. J Neurooncol (2015) 122:75–85. doi: 10.1007/s11060-014-1698-5

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Dai F, Yu W, Song J, Li Q, Wang C, Xie S. Extracellular polyamines-induced proliferation and migration of cancer cells by ODC, SSAT, and Akt1-mediated pathway. Anticancer Drugs (2017) 28:457–64. doi: 10.1097/CAD.0000000000000465

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Hinrichs CN, Ingargiola M, Kaubler T, Lock S, Temme A, Kohn-Luque A, et al. Arginine deprivation therapy: Putative strategy to eradicate glioblastoma cells by radiosensitization. Mol Cancer Ther (2018) 17:393–406. doi: 10.1158/1535-7163.MCT-16-0807

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Baj A, Moro E, Bistoletti M, Orlandi V, Crema F, Giaroni C. Glutamatergic signaling along the microbiota-Gut-Brain axis. Int J Mol Sci (2019) 20:1482. doi: 10.3390/ijms20061482

CrossRef Full Text | Google Scholar

42. Seltzer MJ, Bennett BD, Joshi AD, Gao P, Thomas AG, Ferraris DV, et al. Inhibition of glutaminase preferentially slows growth of glioma cells with mutant IDH1. Cancer Res (2010) 70:8981–7. doi: 10.1158/0008-5472.CAN-10-1666

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Van Lith SA, Navis AC, Verrijp K, Niclou SP, Bjerkvig R, Wesseling P, et al. Glutamate as chemotactic fuel for diffuse glioma cells: are they glutamate suckers? Biochim Biophys Acta (2014) 1846:66–74. doi: 10.1016/j.bbcan.2014.04.004

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Marquez J, Alonso FJ, Mates JM, Segura JA, Martin-Rufian M, Campos-Sandoval JA. Glutamine addiction in gliomas. Neurochem Res (2017) 42:1735–46. doi: 10.1007/s11064-017-2212-1

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Maus A, Peters GJ. Glutamate and alpha-ketoglutarate: key players in glioma metabolism. Amino Acids (2017) 49:21–32. doi: 10.1007/s00726-016-2342-9

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Mashimo T, Pichumani K, Vemireddy V, Hatanpaa KJ, Singh DK, Sirasanagandla S, et al. Acetate is a bioenergetic substrate for human glioblastoma and brain metastases. Cell (2014) 159:1603–14. doi: 10.1016/j.cell.2014.11.025

PubMed Abstract | CrossRef Full Text | Google Scholar

47. Masui K, Tanaka K, Ikegami S, Villa GR, Yang H, Yong WH, et al. Glucose-dependent acetylation of rictor promotes targeted cancer therapy resistance. Proc Natl Acad Sci U S A (2015) 112:9406–11. doi: 10.1073/pnas.1511759112

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Pinn DM, Aroniadis OC, Brandt LJ. Is fecal microbiota transplantation (FMT) an effective treatment for patients with functional gastrointestinal disorders (FGID)? Neurogastroenterol Motil (2015) 27:19–29. doi: 10.1111/nmo.12479

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Fung TC, Olson CA, Hsiao EY. Interactions between the microbiota, immune and nervous systems in health and disease. Nat Neurosci (2017) 20:145–55. doi: 10.1038/nn.4476

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Wegiel B, Vuerich M, Daneshmandi S, Seth P. Metabolic switch in the tumor microenvironment determines immune responses to anti-cancer therapy. Front Oncol (2018) 8:284. doi: 10.3389/fonc.2018.00284

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Lamas B, Natividad JM, Sokol H. Aryl hydrocarbon receptor and intestinal immunity. Mucosal Immunol (2018) 11:1024–38. doi: 10.1038/s41385-018-0019-2

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Tanaka M, Toldi J, Vecsei L. Exploring the etiological links behind neurodegenerative diseases: Inflammatory cytokines and bioactive kynurenines. Int J Mol Sci (2020) 21:2431. doi: 10.3390/ijms21072431

CrossRef Full Text | Google Scholar

53. Torok N, Tanaka M, Vecsei L. Searching for peripheral biomarkers in neurodegenerative diseases: The tryptophan-kynurenine metabolic pathway. Int J Mol Sci (2020) 21:9338. doi: 10.3390/ijms21249338

CrossRef Full Text | Google Scholar

54. Jin UH, Michelhaugh SK, Polin LA, Shrestha R, Mittal S, Safe S. Omeprazole inhibits glioblastoma cell invasion and tumor growth. Cancers (Basel) (2020) 12:2097. doi: 10.3390/cancers12082097

CrossRef Full Text | Google Scholar

55. Gutierrez-Vazquez C, Quintana FJ. Regulation of the immune response by the aryl hydrocarbon receptor. Immunity (2018) 48:19–33. doi: 10.1016/j.immuni.2017.12.012

PubMed Abstract | CrossRef Full Text | Google Scholar

56. Friedrich M, Sankowski R, Bunse L, Kilian M, Green E, Ramallo Guevara C, et al. Tryptophan metabolism drives dynamic immunosuppressive myeloid states in IDH-mutant gliomas. Nat Cancer (2021) 2:723–40. doi: 10.1038/s43018-021-00201-z

PubMed Abstract | CrossRef Full Text | Google Scholar

57. Friedrich M, Hahn M, Michel J, Sankowski R, Kilian M, Kehl N, et al. Dysfunctional dendritic cells limit antigen-specific T cell response in glioma. Neuro Oncol (2022):noac138. doi: 10.1093/neuonc/noac138

PubMed Abstract | CrossRef Full Text | Google Scholar

58. Shay T, Kang J. Immunological genome project and systems immunology. Trends Immunol (2013) 34:602–9. doi: 10.1016/j.it.2013.03.004

PubMed Abstract | CrossRef Full Text | Google Scholar

59. Cibrian D, Saiz ML, de la Fuente H, Sanchez-Diaz R, Moreno-Gonzalo O, Jorge I, et al. CD69 controls the uptake of l-tryptophan through LAT1-CD98 and AhR-dependent secretion of IL-22 in psoriasis. Nat Immunol (2016) 17:985–96. doi: 10.1038/ni.3504

PubMed Abstract | CrossRef Full Text | Google Scholar

60. Gabriely G, Wheeler MA, Takenaka MC, Quintana FJ. Role of AHR and HIF-1alpha in glioblastoma metabolism. Trends Endocrinol Metab (2017) 28:428–36. doi: 10.1016/j.tem.2017.02.009

PubMed Abstract | CrossRef Full Text | Google Scholar

61. Apetoh L, Quintana FJ, Pot C, Joller N, Xiao S, Kumar D, et al. The aryl hydrocarbon receptor interacts with c-maf to promote the differentiation of type 1 regulatory T cells induced by IL-27. Nat Immunol (2010) 11:854–61. doi: 10.1038/ni.1912

PubMed Abstract | CrossRef Full Text | Google Scholar

62. Takenaka MC, Gabriely G, Rothhammer V, Mascanfroni ID, Wheeler MA, Chao CC, et al. Control of tumor-associated macrophages and T cells in glioblastoma via AHR and CD39. Nat Neurosci (2019) 22:729–40. doi: 10.1038/s41593-019-0370-y

PubMed Abstract | CrossRef Full Text | Google Scholar

63. Sadik A, Somarribas Patterson LF, Ozturk S, Mohapatra SR, Panitz V, Secker PF, et al. IL4I1 is a metabolic immune checkpoint that activates the AHR and promotes tumor progression. Cell (2020) 182:1252–70.e1234. doi: 10.1016/j.cell.2020.07.038

PubMed Abstract | CrossRef Full Text | Google Scholar

64. Du L, Xing Z, Tao B, Li T, Yang D, Li W, et al. ). both IDO1 and TDO contribute to the malignancy of gliomas via the kyn-AhR-AQP4 signaling pathway. Signal Transduct Target Ther (2020) 5:10. doi: 10.1038/s41392-019-0103-4

PubMed Abstract | CrossRef Full Text | Google Scholar

65. Tapiero H, Mathe G, Couvreur P, Tew KD. I. arginine. BioMed Pharmacother (2002) 56:439–45. doi: 10.1016/S0753-3322(02)00284-6

PubMed Abstract | CrossRef Full Text | Google Scholar

66. Witte MB, Barbul A. Arginine physiology and its implication for wound healing. Wound Repair Regener (2003) 11:419–23. doi: 10.1046/j.1524-475X.2003.11605.x

CrossRef Full Text | Google Scholar

67. Dai Z, Wu Z, Hang S, Zhu W, Wu G. Amino acid metabolism in intestinal bacteria and its potential implications for mammalian reproduction. Mol Hum Reprod (2015) 21:389–409. doi: 10.1093/molehr/gav003

PubMed Abstract | CrossRef Full Text | Google Scholar

68. Kao CC, Cope JL, Hsu JW, Dwarkanath P, Karnes JM, Luna RA, et al. The microbiome, intestinal function, and arginine metabolism of healthy Indian women are different from those of American and Jamaican women. J Nutr (2015) 146:706–13. doi: 10.3945/jn.115.227579

PubMed Abstract | CrossRef Full Text | Google Scholar

69. Weyerbrock A, Osterberg N, Psarras N, Baumer B, Kogias E, Werres A, et al. JS-K, a glutathione s-transferase-activated nitric oxide donor with antineoplastic activity in malignant gliomas. Neurosurgery (2012) 70:497–510. doi: 10.1227/NEU.0b013e31823209cf

PubMed Abstract | CrossRef Full Text | Google Scholar

70. Tse JKY. Gut microbiota, nitric oxide, and microglia as prerequisites for neurodegenerative disorders. ACS Chem Neurosci (2017) 8:1438–47. doi: 10.1021/acschemneuro.7b00176

PubMed Abstract | CrossRef Full Text | Google Scholar

71. Bonavida B, Garban H. Nitric oxide-mediated sensitization of resistant tumor cells to apoptosis by chemo-immunotherapeutics. Redox Biol (2015) 6:486–94. doi: 10.1016/j.redox.2015.08.013

PubMed Abstract | CrossRef Full Text | Google Scholar

72. Munch J, Janardhan A, Stolte N, Stahl-Hennig C, Ten Haaft P, Heeney JL, et al. T-Cell receptor:CD3 down-regulation is a selected in vivo function of simian immunodeficiency virus nef but is not sufficient for effective viral replication in rhesus macaques. J Virol (2002) 76:12360–4. doi: 10.1128/JVI.76.23.12360-12364.2002

PubMed Abstract | CrossRef Full Text | Google Scholar

73. Zou S, Wang X, Liu P, Ke C, Xu S. Arginine metabolism and deprivation in cancer therapy. BioMed Pharmacother (2019) 118:109210. doi: 10.1016/j.biopha.2019.109210

PubMed Abstract | CrossRef Full Text | Google Scholar

74. Jia Y, Chen Y, Geng K, Cheng Y, Li Y, Qiu J, et al. Glutamate chemical exchange saturation transfer (GluCEST) magnetic resonance imaging in pre-clinical and clinical applications for encephalitis. Front Neurosci (2020) 14:750. doi: 10.3389/fnins.2020.00750

PubMed Abstract | CrossRef Full Text | Google Scholar

75. Reitman ZJ, Parsons DW, Yan H. IDH1 and IDH2: not your typical oncogenes. Cancer Cell (2010) 17:215–6. doi: 10.1016/j.ccr.2010.02.024

PubMed Abstract | CrossRef Full Text | Google Scholar

76. Dang L, White DW, Gross S, Bennett BD, Bittinger MA, Driggers EM, et al. Cancer-associated IDH1 mutations produce 2-hydroxyglutarate. Nature (2009) 462:739–44. doi: 10.1038/nature08617

PubMed Abstract | CrossRef Full Text | Google Scholar

77. Ward PS, Patel J, Wise DR, Abdel-Wahab O, Bennett BD, Coller HA, et al. The common feature of leukemia-associated IDH1 and IDH2 mutations is a neomorphic enzyme activity converting alpha-ketoglutarate to 2-hydroxyglutarate. Cancer Cell (2010) 17:225–34. doi: 10.1016/j.ccr.2010.01.020

PubMed Abstract | CrossRef Full Text | Google Scholar

78. Rohle D, Popovici-Muller J, Palaskas N, Turcan S, Grommes C, Campos C, et al. An inhibitor of mutant IDH1 delays growth and promotes differentiation of glioma cells. Science (2013) 340:626–30. doi: 10.1126/science.1236062

PubMed Abstract | CrossRef Full Text | Google Scholar

79. Noushmehr H, Weisenberger DJ, Diefes K, Phillips HS, Pujara K, Berman BP, et al. Identification of a CpG island methylator phenotype that defines a distinct subgroup of glioma. Cancer Cell (2010) 17:510–22. doi: 10.1016/j.ccr.2010.03.017

PubMed Abstract | CrossRef Full Text | Google Scholar

80. Lu C, Ward PS, Kapoor GS, Rohle D, Turcan S, Abdel-Wahab O, et al. IDH mutation impairs histone demethylation and results in a block to cell differentiation. Nature (2012) 483:474–8. doi: 10.1038/nature10860

PubMed Abstract | CrossRef Full Text | Google Scholar

81. Dawson MA, Kouzarides T. Cancer epigenetics: from mechanism to therapy. Cell (2012) 150:12–27. doi: 10.1016/j.cell.2012.06.013

PubMed Abstract | CrossRef Full Text | Google Scholar

82. Shimmura C, Suzuki K, Iwata Y, Tsuchiya KJ, Ohno K, Matsuzaki H, et al. Enzymes in the glutamate-glutamine cycle in the anterior cingulate cortex in postmortem brain of subjects with autism. Mol Autism (2013) 4:6. doi: 10.1186/2040-2392-4-6

PubMed Abstract | CrossRef Full Text | Google Scholar

83. Fraser CM, Sills GJ, Forrest G, Thompson GG, Brodie MJ. Effects of anti-epileptic drugs on glutamine synthetase activity in mouse brain. Br J Pharmacol (1999) 126:1634–8. doi: 10.1038/sj.bjp.0702472

PubMed Abstract | CrossRef Full Text | Google Scholar

84. Bobeff EJ, Szczesna D, Bienkowski M, Janczar K, Chmielewska-Kassassir M, Wisniewski K, et al. Plasma amino acids indicate glioblastoma with ATRX loss. Amino Acids (2021) 53:119–32. doi: 10.1007/s00726-020-02931-3

PubMed Abstract | CrossRef Full Text | Google Scholar

85. Ma Q, Xing C, Long W, Wang HY, Liu Q, Wang RF. Impact of microbiota on central nervous system and neurological diseases: the gut-brain axis. J Neuroinflamm (2019) 16:53. doi: 10.1186/s12974-019-1434-3

CrossRef Full Text | Google Scholar

86. Rudzki L, Szulc A. Immune gate of psychopathology-the role of gut derived immune activation in major psychiatric disorders. Front Psychiatry (2018) 9:205. doi: 10.3389/fpsyt.2018.00205

PubMed Abstract | CrossRef Full Text | Google Scholar

87. Champ CE, Palmer JD, Volek JS, Werner-Wasik M, Andrews DW, Evans JJ, et al. Targeting metabolism with a ketogenic diet during the treatment of glioblastoma multiforme. J Neurooncol (2014) 117:125–31. doi: 10.1007/s11060-014-1362-0

PubMed Abstract | CrossRef Full Text | Google Scholar

88. Seyfried TN, Flores R, Poff AM, D’agostino DP, Mukherjee P. Metabolic therapy: A new paradigm for managing malignant brain cancer. Cancer Lett (2015) 356:289–300. doi: 10.1016/j.canlet.2014.07.015

PubMed Abstract | CrossRef Full Text | Google Scholar

89. Gierse LC, Meene A, Schultz D, Schwaiger T, Karte C, Schroder C, et al. A multi-omics protocol for swine feces to elucidate longitudinal dynamics in microbiome structure and function. Microorganisms (2020) 8:1887. doi: 10.3390/microorganisms8121887

CrossRef Full Text | Google Scholar

90. Yang W, Yu T, Huang X, Bilotta AJ, Xu L, Lu Y, et al. Intestinal microbiota-derived short-chain fatty acids regulation of immune cell IL-22 production and gut immunity. Nat Commun (2020) 11:4457. doi: 10.1038/s41467-020-18262-6

PubMed Abstract | CrossRef Full Text | Google Scholar

91. Galvez-Ontiveros Y, Paez S, Monteagudo C, Rivas A. Endocrine disruptors in food: Impact on gut microbiota and metabolic diseases. Nutrients (2020) 12:1158. doi: 10.3390/nu12041158

CrossRef Full Text | Google Scholar

92. Le Noci V, Guglielmetti S, Arioli S, Camisaschi C, Bianchi F, Sommariva M, et al. Modulation of pulmonary microbiota by antibiotic or probiotic aerosol therapy: A strategy to promote immunosurveillance against lung metastases. Cell Rep (2018) 24:3528–38. doi: 10.1016/j.celrep.2018.08.090

PubMed Abstract | CrossRef Full Text | Google Scholar

93. Bolognini D, Tobin AB, Milligan G, Moss CE. The pharmacology and function of receptors for short-chain fatty acids. Mol Pharmacol (2016) 89:388–98. doi: 10.1124/mol.115.102301

PubMed Abstract | CrossRef Full Text | Google Scholar

94. Stilling RM, Van De Wouw M, Clarke G, Stanton C, Dinan TG, Cryan JF. The neuropharmacology of butyrate: The bread and butter of the microbiota-gut-brain axis? Neurochem Int (2016) 99:110–32. doi: 10.1016/j.neuint.2016.06.011

PubMed Abstract | CrossRef Full Text | Google Scholar

95. Kien CL, Peltier CP, Mandal S, Davie JR, Blauwiekel R. Effects of the in vivo supply of butyrate on histone acetylation of cecum in piglets. JPEN J Parenter Enteral Nutr (2008) 32:51–6. doi: 10.1177/014860710803200151

PubMed Abstract | CrossRef Full Text | Google Scholar

96. Huuskonen J, Suuronen T, Nuutinen T, Kyrylenko S, Salminen A. Regulation of microglial inflammatory response by sodium butyrate and short-chain fatty acids. Br J Pharmacol (2004) 141:874–80. doi: 10.1038/sj.bjp.0705682

PubMed Abstract | CrossRef Full Text | Google Scholar

97. Dalile B, Van Oudenhove L, Vervliet B, Verbeke K. The role of short-chain fatty acids in microbiota-gut-brain communication. Nat Rev Gastroenterol Hepatol (2019) 16:461–78. doi: 10.1038/s41575-019-0157-3

PubMed Abstract | CrossRef Full Text | Google Scholar

98. Louveau A, Harris TH, Kipnis J. Revisiting the mechanisms of CNS immune privilege. Trends Immunol (2015) 36:569–77. doi: 10.1016/j.it.2015.08.006

PubMed Abstract | CrossRef Full Text | Google Scholar

99. Gieryng A, Pszczolkowska D, Walentynowicz KA, Rajan WD, Kaminska B. Immune microenvironment of gliomas. Lab Invest (2017) 97:498–518. doi: 10.1038/labinvest.2017.19

PubMed Abstract | CrossRef Full Text | Google Scholar

100. Engler JR, Robinson AE, Smirnov I, Hodgson JG, Berger MS, Gupta N, et al. Increased microglia/macrophage gene expression in a subset of adult and pediatric astrocytomas. PLoS One (2012) 7:e43339. doi: 10.1371/journal.pone.0043339

PubMed Abstract | CrossRef Full Text | Google Scholar

101. Galvao RP, Zong H. Inflammation and gliomagenesis: Bi-directional communication at early and late stages of tumor progression. Curr Pathobiol Rep (2013) 1:19–28. doi: 10.1007/s40139-012-0006-3

PubMed Abstract | CrossRef Full Text | Google Scholar

102. Okada M, Saio M, Kito Y, Ohe N, Yano H, Yoshimura S, et al. Tumor-associated macrophage/microglia infiltration in human gliomas is correlated with MCP-3, but not MCP-1. Int J Oncol (2009) 34:1621–7. doi: 10.3892/ijo_00000292

PubMed Abstract | CrossRef Full Text | Google Scholar

103. Wu SY, Watabe K. The roles of microglia/macrophages in tumor progression of brain cancer and metastatic disease. Front Biosci (Landmark Ed) (2017) 22:1805–29. doi: 10.2741/4573

PubMed Abstract | CrossRef Full Text | Google Scholar

104. Lisi L, Ciotti GM, Braun D, Kalinin S, Curro D, Dello Russo C, et al. ). expression of iNOS, CD163 and ARG-1 taken as M1 and M2 markers of microglial polarization in human glioblastoma and the surrounding normal parenchyma. Neurosci Lett (2017) 645:106–12. doi: 10.1016/j.neulet.2017.02.076

PubMed Abstract | CrossRef Full Text | Google Scholar

105. Meyer C, Martin-Blondel G, Liblau RS. ). endothelial cells and lymphatics at the interface between the immune and central nervous systems: implications for multiple sclerosis. Curr Opin Neurol (2017) 30:222–30. doi: 10.1097/WCO.0000000000000454

PubMed Abstract | CrossRef Full Text | Google Scholar

106. Louveau A, Smirnov I, Keyes TJ, Eccles JD, Rouhani SJ, Peske JD, et al. Structural and functional features of central nervous system lymphatic vessels. Nature (2015) 523:337–41. doi: 10.1038/nature14432

PubMed Abstract | CrossRef Full Text | Google Scholar

107. Ma Q, Schlegel F, Bachmann SB, Schneider H, Decker Y, Rudin M, et al. Lymphatic outflow of cerebrospinal fluid is reduced in glioma. Sci Rep (2019) 9:14815. doi: 10.1038/s41598-019-51373-9

PubMed Abstract | CrossRef Full Text | Google Scholar

108. Madan JC, Farzan SF, Hibberd PL, Karagas MR. Normal neonatal microbiome variation in relation to environmental factors, infection and allergy. Curr Opin Pediatr (2012) 24:753–9. doi: 10.1097/MOP.0b013e32835a1ac8

PubMed Abstract | CrossRef Full Text | Google Scholar

109. Belkaid Y, Hand TW. Role of the microbiota in immunity and inflammation. Cell (2014) 157:121–41. doi: 10.1016/j.cell.2014.03.011

PubMed Abstract | CrossRef Full Text | Google Scholar

110. Kabat AM, Srinivasan N, Maloy KJ. Modulation of immune development and function by intestinal microbiota. Trends Immunol (2014) 35:507–17. doi: 10.1016/j.it.2014.07.010

PubMed Abstract | CrossRef Full Text | Google Scholar

111. Bene K, Varga Z, Petrov VO, Boyko N, Rajnavolgyi E. Gut microbiota species can provoke both inflammatory and tolerogenic immune responses in human dendritic cells mediated by retinoic acid receptor alpha ligation. Front Immunol (2017) 8:427. doi: 10.3389/fimmu.2017.00427

PubMed Abstract | CrossRef Full Text | Google Scholar

112. Albulescu R, Codrici E, Popescu ID, Mihai S, Necula LG, Petrescu D, et al. Cytokine patterns in brain tumour progression. Mediators Inflamm (2013) 2013:979748. doi: 10.1155/2013/979748

PubMed Abstract | CrossRef Full Text | Google Scholar

113. Coyte KZ, Schluter J, Foster KR. The ecology of the microbiome: Networks, competition, and stability. Science (2015) 350:663–6. doi: 10.1126/science.aad2602

PubMed Abstract | CrossRef Full Text | Google Scholar

114. Mangani D, Weller M, Roth P. The network of immunosuppressive pathways in glioblastoma. Biochem Pharmacol (2017) 130:1–9. doi: 10.1016/j.bcp.2016.12.011

PubMed Abstract | CrossRef Full Text | Google Scholar

115. Erny D, Hrabe De Angelis AL, Jaitin D, Wieghofer P, Staszewski O, David E, et al. Host microbiota constantly control maturation and function of microglia in the CNS. Nat Neurosci (2015) 18:965–77. doi: 10.1038/nn.4030

PubMed Abstract | CrossRef Full Text | Google Scholar

116. Camara-Lemarroy CR, Metz L, Meddings JB, Sharkey KA, Wee Yong V. The intestinal barrier in multiple sclerosis: implications for pathophysiology and therapeutics. Brain (2018) 141:1900–16. doi: 10.1093/brain/awy131

PubMed Abstract | CrossRef Full Text | Google Scholar

117. Erny D, Hrabe De Angelis AL, Prinz M. Communicating systems in the body: how microbiota and microglia cooperate. Immunology (2017) 150:7–15. doi: 10.1111/imm.12645

PubMed Abstract | CrossRef Full Text | Google Scholar

118. Chattopadhyay I, Nandi D, Nag A. The pint- sized powerhouse: Illuminating the mighty role of the gut microbiome in improving the outcome of anti- cancer therapy. Semin Cancer Biol (2021) 70:98–111. doi: 10.1016/j.semcancer.2020.07.012

PubMed Abstract | CrossRef Full Text | Google Scholar

119. Zhang JY, Wang ZJ, Li Y, Liu Y, Cai W, Li C, et al. A strategy for comprehensive identification of sequential constituents using ultra-high-performance liquid chromatography coupled with linear ion trap-orbitrap mass spectrometer, application study on chlorogenic acids in flos lonicerae japonicae. Talanta (2016) 147:16–27. doi: 10.1016/j.talanta.2015.09.039

PubMed Abstract | CrossRef Full Text | Google Scholar

120. Yao D, Wang Y, Huo C, Wu Y, Zhang M, Li L, et al. Study on the metabolites of isoalantolactone in vivo and in vitro by ultra performance liquid chromatography combined with triple TOF mass spectrometry. Food Chem (2017) 214:328–38. doi: 10.1016/j.foodchem.2016.07.100

PubMed Abstract | CrossRef Full Text | Google Scholar

121. Stupp R, Brada M, Van Den Bent MJ, Tonn JC, Pentheroudakis G, Group EGW. High-grade glioma: ESMO clinical practice guidelines for diagnosis, treatment and follow-up. Ann Oncol (2014) 25 Suppl 3:iii93–101. doi: 10.1093/annonc/mdu050

PubMed Abstract | CrossRef Full Text | Google Scholar

122. Denny BJ, Wheelhouse RT, Stevens MF, Tsang LL, Slack JA. NMR and molecular modeling investigation of the mechanism of activation of the antitumor drug temozolomide and its interaction with DNA. Biochemistry (1994) 33:9045–51. doi: 10.1021/bi00197a003

PubMed Abstract | CrossRef Full Text | Google Scholar

123. Friedman HS, Kerby T, Calvert H. Temozolomide and treatment of malignant glioma. Clin Cancer Res (2000) 6:2585–97.

PubMed Abstract | Google Scholar

124. Fan CH, Liu WL, Cao H, Wen C, Chen L, Jiang G. O6-methylguanine DNA methyltransferase as a promising target for the treatment of temozolomide-resistant gliomas. Cell Death Dis (2013) 4:e876. doi: 10.1038/cddis.2013.388

PubMed Abstract | CrossRef Full Text | Google Scholar

125. Tomar MS, Kumar A, Srivastava C, Shrivastava A. Elucidating the mechanisms of temozolomide resistance in gliomas and the strategies to overcome the resistance. Biochim Biophys Acta Rev Cancer (2021) 1876:188616. doi: 10.1016/j.bbcan.2021.188616

PubMed Abstract | CrossRef Full Text | Google Scholar

126. Li XC, Wu BS, Jiang Y, Li J, Wang ZF, Ma C, et al. Temozolomide-induced changes in gut microbial composition in a mouse model of brain glioma. Drug Des Devel Ther (2021) 15:1641–52. doi: 10.2147/DDDT.S298261

PubMed Abstract | CrossRef Full Text | Google Scholar

127. Stupp R, Mason WP, Van Den Bent MJ, Weller M, Fisher B, Taphoorn MJ, et al. Radiotherapy plus concomitant and adjuvant temozolomide for glioblastoma. N Engl J Med (2005) 352:987–96. doi: 10.1056/NEJMoa043330

PubMed Abstract | CrossRef Full Text | Google Scholar

128. Iida N, Dzutsev A, Stewart CA, Smith L, Bouladoux N, Weingarten RA, et al. Commensal bacteria control cancer response to therapy by modulating the tumor microenvironment. Science (2013) 342:967–70. doi: 10.1126/science.1240527

PubMed Abstract | CrossRef Full Text | Google Scholar

129. Daillere R, Vetizou M, Waldschmitt N, Yamazaki T, Isnard C, Poirier-Colame V, et al. Enterococcus hirae and barnesiella intestinihominis facilitate cyclophosphamide-induced therapeutic immunomodulatory effects. Immunity (2016) 45:931–43. doi: 10.1016/j.immuni.2016.09.009

PubMed Abstract | CrossRef Full Text | Google Scholar

130. Viaud S, Saccheri F, Mignot G, Yamazaki T, Daillere R, Hannani D, et al. The intestinal microbiota modulates the anticancer immune effects of cyclophosphamide. Science (2013) 342:971–6. doi: 10.1126/science.1240537

PubMed Abstract | CrossRef Full Text | Google Scholar

131. Cani PD, De Vos WM. Next-generation beneficial microbes: The case of akkermansia muciniphila. Front Microbiol (2017) 8:1765. doi: 10.3389/fmicb.2017.01765

PubMed Abstract | CrossRef Full Text | Google Scholar

132. Rossi M, Amaretti A, Raimondi S. Folate production by probiotic bacteria. Nutrients (2011) 3:118–34. doi: 10.3390/nu3010118

PubMed Abstract | CrossRef Full Text | Google Scholar

133. Consonni A, Cordiglieri C, Rinaldi E, Marolda R, Ravanelli I, Guidesi E, et al. Administration of bifidobacterium and lactobacillus strains modulates experimental myasthenia gravis and experimental encephalomyelitis in Lewis rats. Oncotarget (2018) 9:22269–87. doi: 10.18632/oncotarget.25170

PubMed Abstract | CrossRef Full Text | Google Scholar

134. Sanchez H, Hossain MB, Lera L, Hirsch S, Albala C, Uauy R, et al. High levels of circulating folate concentrations are associated with DNA methylation of tumor suppressor and repair genes p16, MLH1, and MGMT in elderly chileans. Clin Epigenet (2017) 9:74. doi: 10.1186/s13148-017-0374-y

CrossRef Full Text | Google Scholar

135. Mehrian-Shai R, Reichardt JKV, Harris CC, Toren A. The gut-brain axis, paving the way to brain cancer. Trends Cancer (2019) 5:200–7. doi: 10.1016/j.trecan.2019.02.008

PubMed Abstract | CrossRef Full Text | Google Scholar

136. Becker JC, Thor Straten P, Andersen MH. Self-reactive T cells: suppressing the suppressors. Cancer Immunol Immunother (2014) 63:313–9. doi: 10.1007/s00262-013-1512-9

PubMed Abstract | CrossRef Full Text | Google Scholar

137. Sivan A, Corrales L, Hubert N, Williams JB, Aquino-Michaels K, Earley ZM, et al. Commensal bifidobacterium promotes antitumor immunity and facilitates anti-PD-L1 efficacy. Science (2015) 350:1084–9. doi: 10.1126/science.aac4255

PubMed Abstract | CrossRef Full Text | Google Scholar

138. Matson V, Fessler J, Bao R, Chongsuwat T, Zha Y, Alegre ML, et al. The commensal microbiome is associated with anti-PD-1 efficacy in metastatic melanoma patients. Science (2018) 359:104–8. doi: 10.1126/science.aao3290

PubMed Abstract | CrossRef Full Text | Google Scholar

139. Vetizou M, Pitt JM, Daillere R, Lepage P, Waldschmitt N, Flament C, et al. Anticancer immunotherapy by CTLA-4 blockade relies on the gut microbiota. Science (2015) 350:1079–84. doi: 10.1126/science.aad1329

PubMed Abstract | CrossRef Full Text | Google Scholar

140. Raja J, Ludwig JM, Gettinger SN, Schalper KA, Kim HS. Oncolytic virus immunotherapy: future prospects for oncology. J Immunother Cancer (2018) 6:140. doi: 10.1186/s40425-018-0458-z

PubMed Abstract | CrossRef Full Text | Google Scholar

141. Sachdeva M, Busser BW, Temburni S, Jahangiri B, Gautron AS, Marechal A, et al. Repurposing endogenous immune pathways to tailor and control chimeric antigen receptor T cell functionality. Nat Commun (2019) 10:5100. doi: 10.1038/s41467-019-13088-3

PubMed Abstract | CrossRef Full Text | Google Scholar

142. Brown CE, Starr R, Aguilar B, Shami AF, Martinez C, D’apuzzo M, et al. Stem-like tumor-initiating cells isolated from IL13Ralpha2 expressing gliomas are targeted and killed by IL13-zetakine-redirected T cells. Clin Cancer Res (2012) 18:2199–209. doi: 10.1158/1078-0432.CCR-11-1669

PubMed Abstract | CrossRef Full Text | Google Scholar

143. Bagley SJ, Desai AS, Linette GP, June CH, O’rourke DM. CAR T-cell therapy for glioblastoma: recent clinical advances and future challenges. Neuro Oncol (2018) 20:1429–38. doi: 10.1093/neuonc/noy032

PubMed Abstract | CrossRef Full Text | Google Scholar

144. Migliorini D, Dietrich PY, Stupp R, Linette GP, Posey AD Jr., June CH. CAR T-cell therapies in glioblastoma: A first look. Clin Cancer Res (2018) 24:535–40. doi: 10.1158/1078-0432.CCR-17-2871

PubMed Abstract | CrossRef Full Text | Google Scholar

145. Huang J, Liu D, Wang Y, Liu L, Li J, Yuan J, et al. Ginseng polysaccharides alter the gut microbiota and kynurenine/tryptophan ratio, potentiating the antitumour effect of antiprogrammed cell death 1/programmed cell death ligand 1 (anti-PD-1/PD-L1) immunotherapy. Gut (2022) 71:734–45. doi: 10.1136/gutjnl-2020-321031

PubMed Abstract | CrossRef Full Text | Google Scholar

146. Abid MB, Shah NN, Maatman TC, Hari PN. Gut microbiome and CAR-T therapy. Exp Hematol Oncol (2019) 8:31. doi: 10.1186/s40164-019-0155-8

PubMed Abstract | CrossRef Full Text | Google Scholar

147. Hung AL, Garzon-Muvdi T, Lim M. Biomarkers and immunotherapeutic targets in glioblastoma. World Neurosurg (2017) 102:494–506. doi: 10.1016/j.wneu.2017.03.011

PubMed Abstract | CrossRef Full Text | Google Scholar

148. Mushtaq MU, Papadas A, Pagenkopf A, Flietner E, Morrow Z, Chaudhary SG, et al. Tumor matrix remodeling and novel immunotherapies: the promise of matrix-derived immune biomarkers. J Immunother Cancer (2018) 6:65. doi: 10.1186/s40425-018-0376-0

PubMed Abstract | CrossRef Full Text | Google Scholar

149. Ma J, Huang L, Hu D, Zeng S, Han Y, Shen H. The role of the tumor microbe microenvironment in the tumor immune microenvironment: bystander, activator, or inhibitor? J Exp Clin Cancer Res (2021) 40:327. doi: 10.1186/s13046-021-02128-w

PubMed Abstract | CrossRef Full Text | Google Scholar

150. Forestier C, Moreno E, Pizarro-Cerda J, Gorvel JP. ). lysosomal accumulation and recycling of lipopolysaccharide to the cell surface of murine macrophages, an in vitro and in vivo study. J Immunol (1999) 162:6784–91.

PubMed Abstract | Google Scholar

151. Disson O, Lecuit M. Targeting of the central nervous system by listeria monocytogenes. Virulence (2012) 3:213–21. doi: 10.4161/viru.19586

PubMed Abstract | CrossRef Full Text | Google Scholar

152. Pajo AT, Espiritu AI, Apor A, Jamora RDG. Neuropathologic findings of patients with COVID-19: a systematic review. Neurol Sci (2021) 42:1255–66. doi: 10.1007/s10072-021-05068-7

PubMed Abstract | CrossRef Full Text | Google Scholar

153. Larsson P, Tjalve H. Intranasal instillation of aflatoxin B(1) in rats: bioactivation in the nasal mucosa and neuronal transport to the olfactory bulb. Toxicol Sci (2000) 55:383–91. doi: 10.1093/toxsci/55.2.383

PubMed Abstract | CrossRef Full Text | Google Scholar

154. Mori I, Nishiyama Y, Yokochi T, Kimura Y. Olfactory transmission of neurotropic viruses. J Neurovirol (2005) 11:129–37. doi: 10.1080/13550280590922793

PubMed Abstract | CrossRef Full Text | Google Scholar

155. Bracci PM. Oral health and the oral microbiome in pancreatic cancer: An overview of epidemiological studies. Cancer J (2017) 23:310–4. doi: 10.1097/PPO.0000000000000287

PubMed Abstract | CrossRef Full Text | Google Scholar

156. Ochi A, Nguyen AH, Bedrosian AS, Mushlin HM, Zarbakhsh S, Barilla R, et al. MyD88 inhibition amplifies dendritic cell capacity to promote pancreatic carcinogenesis via Th2 cells. J Exp Med (2012) 209:1671–87. doi: 10.1084/jem.20111706

PubMed Abstract | CrossRef Full Text | Google Scholar

157. Fu A, Yao B, Dong T, Chen Y, Yao J, Liu Y, et al. Tumor-resident intracellular microbiota promotes metastatic colonization in breast cancer. Cell (2022) 185:1356–72.e1326. doi: 10.1016/j.cell.2022.02.027

PubMed Abstract | CrossRef Full Text | Google Scholar

158. Irfan M, Delgado RZR, Frias-Lopez J. The oral microbiome and cancer. Front Immunol (2020) 11:591088. doi: 10.3389/fimmu.2020.591088

PubMed Abstract | CrossRef Full Text | Google Scholar

159. Shahanavaj K, Gil-Bazo I, Castiglia M, Bronte G, Passiglia F, Carreca AP, et al. Cancer and the microbiome: potential applications as new tumor biomarker. Expert Rev Anticancer Ther (2015) 15:317–30. doi: 10.1586/14737140.2015.992785

PubMed Abstract | CrossRef Full Text | Google Scholar

160. Cook NR. Methods for evaluating novel biomarkers - a new paradigm. Int J Clin Pract (2010) 64:1723–7. doi: 10.1111/j.1742-1241.2010.02469.x

PubMed Abstract | CrossRef Full Text | Google Scholar

161. Junttila MR, De Sauvage FJ. Influence of tumour micro-environment heterogeneity on therapeutic response. Nature (2013) 501:346–54. doi: 10.1038/nature12626

PubMed Abstract | CrossRef Full Text | Google Scholar

162. Sepich-Poore GD, Zitvogel L, Straussman R, Hasty J, Wargo JA, Knight R. The microbiome and human cancer. Science (2021) 371:eabc4552. doi: 10.1126/science.abc4552

PubMed Abstract | CrossRef Full Text | Google Scholar

163. Patil V, Pal J, Somasundaram K. Elucidating the cancer-specific genetic alteration spectrum of glioblastoma derived cell lines from whole exome and RNA sequencing. Oncotarget (2015) 6:43452–71. doi: 10.18632/oncotarget.6171

PubMed Abstract | CrossRef Full Text | Google Scholar

164. Eisenhofer R, Minich JJ, Marotz C, Cooper A, Knight R, Weyrich LS. Contamination in low microbial biomass microbiome studies: Issues and recommendations. Trends Microbiol (2019) 27:105–17. doi: 10.1016/j.tim.2018.11.003

PubMed Abstract | CrossRef Full Text | Google Scholar

165. Sinha R, Abu-Ali G, Vogtmann E, Fodor AA, Ren B, Amir A, et al. Assessment of variation in microbial community amplicon sequencing by the microbiome quality control (MBQC) project consortium. Nat Biotechnol (2017) 35:1077–86. doi: 10.1038/nbt.3981

PubMed Abstract | CrossRef Full Text | Google Scholar

166. Integrative H.M.P.R.N.C. The integrative human microbiome project: dynamic analysis of microbiome-host omics profiles during periods of human health and disease. Cell Host Microbe (2014) 16:276–89. doi: 10.1016/j.chom.2014.08.014

PubMed Abstract | CrossRef Full Text | Google Scholar

167. Wang W, Lin L, Du Y, Song Y, Peng X, Chen X, et al. Assessing the viability of transplanted gut microbiota by sequential tagging with d-amino acid-based metabolic probes. Nat Commun (2019) 10:1317. doi: 10.1038/s41467-019-09267-x

PubMed Abstract | CrossRef Full Text | Google Scholar

168. Shi H, Shi Q, Grodner B, Lenz JS, Zipfel WR, Brito IL, et al. Highly multiplexed spatial mapping of microbial communities. Nature (2020) 588:676–81. doi: 10.1038/s41586-020-2983-4

PubMed Abstract | CrossRef Full Text | Google Scholar

169. Francis RJ, Robb G, Mccann L, Khatri B, Keeble J, Dagg B, et al. Three-dimensional in situ morphometrics of mycobacterium tuberculosis infection within lesions by optical mesoscopy and novel acid-fast staining. Sci Rep (2020) 10:21774. doi: 10.1038/s41598-020-78640-4

PubMed Abstract | CrossRef Full Text | Google Scholar

170. Wang W, Zhang N, Du Y, Gao J, Li M, Lin L, et al. Three-dimensional quantitative imaging of native microbiota distribution in the gut. Angew Chem Int Ed Engl (2021) 60:3055–61. doi: 10.1002/anie.202010921

PubMed Abstract | CrossRef Full Text | Google Scholar

171. Ma A, Mcdermaid A, Xu J, Chang Y, Ma Q. Integrative methods and practical challenges for single-cell multi-omics. Trends Biotechnol (2020) 38:1007–22. doi: 10.1016/j.tibtech.2020.02.013

PubMed Abstract | CrossRef Full Text | Google Scholar

172. Wen Y, Feng L, Wang H, Zhou H, Li Q, Zhang W, et al. Association between oral microbiota and human brain glioma grade: A case-control study. Front Microbiol (2021) 12:746568. doi: 10.3389/fmicb.2021.746568

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: gut microbiome, intratumoral microbiome, glioma, metabolism, immune microenvironment

Citation: Liang J, Li T, Zhao J, Wang C and Sun H (2022) Current understanding of the human microbiome in glioma. Front. Oncol. 12:781741. doi: 10.3389/fonc.2022.781741

Received: 23 September 2021; Accepted: 11 July 2022;
Published: 08 August 2022.

Edited by:

Lei Jin, The University of Newcastle, Australia

Reviewed by:

Yu-gang Huang, Hubei University of Medicine, China
Roman Sankowski, University of Freiburg Medical Center, Germany

Copyright © 2022 Liang, Li, Zhao, Wang and Sun. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Haitao Sun, 2009sht@smu.edu.cn

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