Skip to main content

MINI REVIEW article

Front. Neurol., 10 June 2021
Sec. Stroke

White Matter Injury After Intracerebral Hemorrhage

\nXiongjie Fu&#x;Xiongjie FuGuoyang Zhou&#x;Guoyang ZhouJianfeng ZhuangJianfeng ZhuangChaoran XuChaoran XuHang ZhouHang ZhouYucong PengYucong PengYang CaoYang CaoHanhai ZengHanhai ZengJianru LiJianru LiFeng YanFeng YanLin WangLin WangGao Chen
Gao Chen*
  • Department of Neurosurgery, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China

Spontaneous intracerebral hemorrhage (ICH) accounts for 15% of all stroke cases. ICH is a devastating form of stroke associated with high morbidity, mortality, and disability. Preclinical studies have explored the mechanisms of neuronal death and gray matter damage after ICH. However, few studies have examined the development of white matter injury (WMI) following ICH. Research on WMI indicates that its pathophysiological presentation involves axonal damage, demyelination, and mature oligodendrocyte loss. However, the detailed relationship and mechanism between WMI and ICH remain unclear. Studies of other acute brain insults have indicated that WMI is strongly correlated with cognitive deficits, neurological deficits, and depression. The degree of WMI determines the short- and long-term prognosis of patients with ICH. This review demonstrates the structure and functions of the white matter in the healthy brain and discusses the pathophysiological mechanism of WMI following ICH. Our review reveals that the development of WMI after ICH is complex; therefore, comprehensive treatment is essential. Understanding the relationship between WMI and other brain cells may reveal therapeutic targets for the treatment of ICH.

Introduction

Spontaneous intracerebral hemorrhage (ICH) is a serious disease and a global public healthcare challenge. ICH accounts for 10–15% of all stroke cases in Western countries and 20–30% of those in Asia (1). ICH is associated with high morbidity and mortality. Up to 30% of patients die within 30 days (2). Approximately 20% of survivors with major neurologic deficits regain their ability to perform daily living functions independently after 6 months (3). The disease places a heavy burden on countries and families (4). The most important independent risk factors for ICH are age and hypertension. Its incidence increases with age, and 70–80% of the patients with ICH are found to be hypertensive (48). ICH is associated with other comorbidities, including diabetes mellitus, coronary heart disease, and amyloid angiopathy (5, 8).

ICH develops when ruptured blood vessels cause extravasation of blood into the brain parenchyma. Brain injury after ICH is usually primary and secondary. Primary brain injury occurs in the hyper-acute stage of ICH and involves mechanical damage to the perihematoma tissue. The degree of primary injury is dependent on the location and volume of the hematoma (9, 10). The predilection location is in the basal ganglia, thalamus, and internal capsule, which are rich in white matter fibers and are easily damaged by the mechanical stress of a hematoma (11, 12). Secondary brain injury after ICH is a complex process that includes processes such as neuroinflammation, oxidative stress, iron deposition, brain edema, and damage to the blood–brain barrier (BBB) (9, 13).

In the past, many basic studies of ICH have focused on neuronal death, gray matter damage, and neuroinflammation. However, few effective treatments are available in clinical practice (9, 13). Brain injury following ICH is a complicated pathophysiological process involving many cells and structures. The white matter may present another therapeutic target. Currently, multiple studies are focused on white matter injury (WMI). They discuss its mechanism of injury and the relationship between WMI and ICH outcomes (1418). Although clinical and basic studies are increasing, information on the mechanisms of WMI and its effective treatment remains limited.

Previous studies of ICH have shown that rodents are the appropriate experimental animal models. They accurately mimic the natural process of WMI after ICH in humans (19). The proportion of white matter in the rodent brain is 10–20%; however, it is 50% in humans (11, 20). This indicates that WMI plays a vital role after ICH; thus, it is important to understand it in detail. Past studies have reviewed WMI after ICH, although not systematically or comprehensively (11, 19, 21). Therefore, this review summarizes the latest findings on the development of WMI after ICH in terms of anatomical structure, function, mechanism of injury, potential treatment, and repair of WMI after ICH to improve the outcome of ICH patients.

Method

In this review, we conducted a systematic online search in PubMed (https://pubmed.ncbi.nlm.nih.gov), without time limits, for papers published in English, appearing with the following keywords: WMI, white matter lesion, white matter hyperintensities, white matter change, leukoaraiosis or leukoencephalopathy, ICH, intracerebral hemorrhage, spontaneous intracerebral hemorrhage, or cerebral hemorrhage. References appearing in the reference lists of the articles provided by the online search were also used.

The Anatomical Structure and Function of White Matter

The healthy adult brain consists of gray and white matter. The white matter occupies ~50% of the brain's volume (22) and consists of myelinated and unmyelinated axons, fiber tracts, and supporting glial cells, whereas the gray matter consists of neuronal cell bodies, glial cells, and blood vessels (23). The white matter is primarily located deep within the brain and includes the subcortical and periventricular regions, where there is usually poor blood supply (24, 25). Myelin sheaths are produced by mature oligodendrocytes and cover the long axons (11). Myelin provides electrical insulation and allows signals to pass quickly and accurately between the brain regions (21). Myelin sheaths degrade, causing loss of axonal integrity, which affects the accuracy and efficiency of neural signal transduction (11). The function of the white matter in the central nervous system (CNS) includes supporting and connecting the gray matter in various brain regions, regulating the distribution of action potentials, and acting as relay stations and coordinators of neuron signal transmission (26). It also serves as the intersection of the efferent and afferent nerve fibers for information exchange between the central and peripheral nervous systems (27, 28). The location and characterization of the white matter make it more vulnerable to insult by factors such as mechanical stress, hypoxia, and neuroinflammation.

White matter fibers can be divided into three types based on their distribution and connections (29). Projection fibers transmit signals from the cortex to other brain locations such as the corticospinal tracts, spinocerebellar tracts, optical radiations, and thalamocortical radiations. Commissural tracts link the left and right cerebral hemispheres, which include the corpus callosum. The transverse distribution of white matter fibers connects one cortical lobe with another within the ipsilateral hemisphere such as the longitudinal and the uncinate fasciculus (11, 21).

Apart from signal relay and coordinating communication, white matter has been thought to be involved in learning and cognitive processes (30). After injury, patients can have cognitive dysfunction, sensorimotor impairment, psychiatric symptoms, gait disturbances, urinary incontinence, pain, and other neurological deficits (31). In addition, the normal aging process is accompanied by a decrease in the length of white matter fibers, which is related to cognitive impairment (32, 33). WMI is different from gray matter injury, as it may be reversible with appropriate treatment within a limited time window. Consequently, certain brain functions can be restored (34).

General Condition of White Matter Injury After Intracerebral Hemorrhage

In experimental rat ICH models, the blood is distributed along white matter tracts during bleeding, causing atrophy and injury (35). Previous studies have primarily focused on neuronal and gray matter injury. With further research, WMI after ICH has gained attention (35). The majorly affected locations are the perihematoma region and corpus callosum, whereas the anterior and hippocampal commissure are less affected (36). Demyelination and axonal damage are the primary manifestations of WMI. In experimental rat models, demyelination occurred in the core and at the edge of the hematoma, which began 1 day after ICH and peaked at 3 days. Axonal damage was observed at the edge of the hematoma as early as 6 h following ICH. It peaked at 3 days, and then decreased for up to 28 days (14, 37). Demyelination and axonal damage were not observed at 28 days after ICH either in the core or the perihematoma (38). The degree of axonal damage was more serious in aging rats; however, there was no difference in demyelination between the young and older rats (37). Although there is significant and severe WMI in the acute phase of ICH, this injury continues into the chronic phase in the natural course of the disease (39).

Mature oligodendrocytes are key white matter components, especially in subcortical white matter glial cells, where they occupy ~75% of the volume (40). The mature oligodendrocytes in the hematoma and perihematoma regions die after ICH due to the effects of multiple injurious factors (41). Immature oligodendrocyte precursor cells (OPCs) infiltrated the perihematoma region, the number increases dramatically at 3 and 7 days after ICH, and then decreases to normal levels at 28 days (41). OPCs infiltrated and differentiated into mature oligodendrocytes, which leads to myelin regeneration. The number of mature oligodendrocytes increases dramatically as measured at 7 and 14 days and then decreases and reaches normal levels at 28 days (15).

Mechanisms of White Matter Injury After Intracerebral Hemorrhage

The development of WMI after ICH is a complex process involving multiple factors, regions, and mechanisms. However, the detailed underlying mechanisms remain unclear. We have examined previous reports on the mechanisms of WMI following ICH (Figure 1).

FIGURE 1
www.frontiersin.org

Figure 1. The possible pathophysiological factors of white matter injury (WMI) after intracerebral hemorrhage (ICH).

Mechanical Injury

Mechanical injury occurs during the hyper-acute stage and lasts for an extended period of time. White matter fibers are more vulnerable than other cells in the CNS to mechanical injury because of their distribution and shape. After ICH, the blood extravasates into the brain parenchyma and forms a hematoma. The location and volume of hematoma are major factors associated with the degree of WMI (10). This action directly damages white matter fibers in the hematoma core. These fibers have difficulty healing. Secondary mechanical injury is induced by the edema and massive effect of the hematoma, which compresses the fibers in the perihematoma region. The degree of WMI depends on the velocity of blood and the hematoma size (21). Secondary mechanical injury of the white matter can be relieved by surgical removal and manipulation of the mechanical receptors over time. In WMI of ICH origin, force from the fluid percussion waves causes sudden expansion of the hematoma. However, in traumatic brain injury (TBI), the force results from an external blow to the head (42).

Ischemic Damage and Oxidative Stress

The hematoma mass effect and stimulation of the perihematoma parenchyma causes severe edema. Such edema occurs promptly, lasts longer, reduces cerebral blood flow, and causes white matter ischemic damage (43). The normal healthy brain accounts for ~20% of the whole body's blood supply, has almost no excess oxygen or glucose reserves, and suffers devastating consequences when the oxygen supply is disrupted (44). Furthermore, the white matter is usually located deep inside the brain, where there is poor blood supply. The structures of the white matter, including the axons and oligodendrocytes, are more sensitive to ischemic injury than those of the gray matter (45).

Oxidative stress is a critical injurious factor that leads to WMI. After ICH, brain injury is usually accompanied by an increase in reactive oxygen species (ROS) and other oxidative stress responses (46). After several days, erythrocytes lyse and release a series of metabolites such as hemoglobin, heme, iron, and bilirubin, which generate abundant ROS and WMI (47, 48). The major source of ROS is iron overload after ICH. Intra-striatal injection of FeCl3 causes distinct demyelination and axonal damage. Iron chelator treatments can decrease iron deposition and attenuate WMI (38). Other erythrocyte lysis products, such as bilirubin, also cause WMI through ROS (49). An increase in ROS causes direct axonal and oligodendrocyte damage (50). Upregulated ROS also interacts with injury factors, thereby aggravating BBB disruption and neuroinflammation (51, 52).

Blood–Brain Barrier Disruptions

Previous studies have shown that the BBB destruction is common in WMI after acute brain injury (53, 54). Maintenance of BBB homeostasis is dependent on the glia–vascular unit, which consists of white matter, astrocytes, oligodendrocytes, endothelial cells, and microglia (55, 56). After BBB disruption, vascular permeability increases and results in toxic blood components to entering the brain parenchyma, which can exacerbate brain edema, axonal damage, demyelination, and oligodendrocyte death (57). Furthermore, due to congenital factors, the BBB structure is incomplete in some special white matter regions. Therefore, the white matter becomes easily damaged after brain injury (58). After ICH, activation of matrix enzymes such as matrix metalloproteinase (MMP)-9 can damage the BBB and degrade the vascular basement and tight junction proteins (59). BBB disruption can cause peripheral blood-derived immune cells such as neutrophils to infiltrate the brain tissue, and positive feedback worsens BBB damage and then exacerbates WMI (14, 59).

Neuroinflammation

Apart from the fibers, the white matter also contains glial cells and oligodendrocytes, astrocytes, and microglia. After brain damage, many pro-inflammatory glial cells are activated and secrete cytokines and chemokines (60), which can further activate glial cells. This forms a vicious cycle. Previous studies have indicated that acute brain injury, such as TBI and ischemic and subarachnoid hemorrhage, results in the activation of pro-inflammatory cells and the release of pro-inflammatory cytokines, which are closely related to WMI. Treatment with anti-inflammatory agents can relieve WMI and improve neural function (46, 61, 62). Microglia, the major component of pro-inflammatory glial cells, have two phenotypes: pro-inflammatory (M1) and anti-inflammatory (M2). M1 microglia secrete pro-inflammatory cytokines that can aggravate WMI, damage oligodendrocytes, and cause neurological deficits. In addition, M2 microglia can secrete brain-derived neurotropic factors, which increase the recovery of the damaged white matter. Therefore, interventions that shift M1 to M2 can reduce WMI and improve neurological function (61, 63, 64). Although the phenotype of microglia has been extensively researched, the view of the microglia phenotype is that of simplicity, which cannot adequately describe the complex physiology of microglial cells (65). In future studies, newly developed technologies should be applied to explore microglial signatures (66). Astrocytes are another important cellular component of ICH-induced neuroinflammation. The phenotype of astrocytes also includes two types: A1 astrocytes (pro-inflammatory) and A2 astrocytes (anti-inflammatory). A1 astrocytes can upregulate and express pro-inflammatory cytokines and chemokines, which may exacerbate the neuroinflammatory response and WMI (66, 67). A2 astrocytes can encourage the upregulation of neurotrophic factors and the secretion of proteins that promote recovery (68).

Neuroinflammation plays a key pathophysiological role in ICH. After ICH, damage-associated molecular patterns released by many brain structures and cells activate local glial and peripheral immunocyte infiltration cells and cause severe neuroinflammatory responses (69, 70). Although ICH can lead to marked neuroinflammatory responses, the relationship between neuroinflammation and WMI is unclear. Lakovic et al. (49) showed that the products of hematoma lysis activate microglia and astrocyte and release multiple pro-inflammatory cytokines that cause direct oligodendrocyte apoptosis and exacerbate the degree of WMI. The c-Jun N-terminal kinase (JNK) pathway mediates inflammation after ICH (71). When the JNK pathway is activated, it leads to the production of pro-inflammatory cytokines, which can induce demyelination, axonal damage, and oligodendrocyte apoptosis (39, 72). In conclusion, neuroinflammation is an important injurious factor in WMI after ICH.

Excitotoxicity of Glutamate

Previous research has shown that the level of glutamate increases and correlates with the degree of brain edema and BBB disruption (73). In addition, the glutamate level at the perihematoma is associated with the outcome of ICH patients post-surgery (74). The predilection location of ICH is the basal ganglia, thalamus, and internal capsule, which are rich in white matter fibers (11, 12). Postoperative ICH patients with lower levels of glutamate in the perihematoma have a better prognosis (74), although the effect of glutamate after ICH is not well-understood. Other acute damage to the CNS, such as TBI, cerebral ischemia, and spinal cord injury, causes an increase in glutamate and activates corresponding receptors in the oligodendrocytes and axons with Ca2+ overload. This leads to demyelination, axonal damage, and oligodendrocyte death (7577). Therefore, the glutamate may be involved in WMI after ICH.

The Evidence of White Matter Injury After Intracerebral Hemorrhage

Immunohistochemical staining is a common method used to detect WMI in experimental animal (rat, mouse, and pig) ICH models (blood and collagenase). The common biomarkers are myelin basic protein (MBP) for normal myelin, degraded myelin basic protein (dMBP) for demyelination, amyloid precursor protein (APP), and neurofilament heavy polypeptide (SMI32) for axonal damage. After ICH, the level of MBP decreases and the levels of APP, dMBP, and SMI32 increase (14, 37, 38, 78, 79). Lively and Schlichter (80) found that the anti-adhesive matricellular protein SC1 is a novel marker of WMI and is highly sensitive to WMI compared to other markers. Luxol fast blue, another tissue stain, can identify normal myelin in lesion regions and can be used to detect WMI at the last stage of ICH (39). Brain tissue histopathological studies show that WMI presents as spongiform changes and tissue rarefaction, with widening perivascular spaces, and reduced brain tissue density (81). Oligodendrocytes are key components for producing myelin and remyelinating axons. After ICH in mice, they die and OPCs are induced and proliferate and differentiate into mature oligodendrocytes. Olig2 is a molecular marker of oligodendrocyte-lineage cells, which are upregulated and persist throughout the life of oligodendrocyte-lineage cells. Hence, it cannot be used as a marker to identify the different states of oligodendrocytes (8284). The common molecular markers are Olig2/NG2 for OPCs and Olig2/CC1 for mature oligodendrocytes (15, 85).

The neurofilament light (NFL) chain is a marker for neuroaxonal damage in many CNS diseases, including ischemic stroke, subarachnoid hemorrhage (SAH), TBI, and ICH (8689). After ischemic stroke, the level of serum NFL can reflect the degree of damage to the white matter and predict the short- and long-term clinical outcomes (89, 90). In the early phase of SAH, NFL is significantly elevated in the cerebrospinal fluid (CSF) and serum. The concentration of NFL in the plasma is also a strong predictive biomarker for the clinical outcome of SAH 30 days after SAH onset during the early brain injury phase (87, 91). In patients with mild TBI, NFL levels can reflect chronic axonal degeneration and dysregulation (86). In patients with ICH, the level of plasma NFL is highly elevated and correlated with the hematoma volume. The level of NFL in plasma may be a promising biomarker for outcome prediction in ICH (88). Although the NFL level reflects the amount of axonal damage in many CNS diseases, the predictive value of plasma NFL in ICH patients with white matter damage requires further research. Based on the potential clinical value and its strong ability to predict axonal injury in nervous system disease, it is reasonable to suggest that NFL can be a biomarker candidate for tissue damage in the pathophysiology process of WMI after ICH.

Transmission electron microscopy (TEM) is a tool used to evaluate the WMI. Previous research found that the morphological changes in the ultrastructure of white matter in the ICH mouse model were remarkably similar to those in multiple sclerosis (16). In acute ICH, the number of myelinated axons is decreased. The remaining axons have larger diameters but thinner myelin sheaths, and the space between the axons is increased and filled with debris (49). Zhao et al. (92) used TEM to evaluate the ultrastructure of the myelinated nerve fibers and found that, after ICH, the myelin sheath became loose and swollen, and the layers were disorganized, exhibiting an onion-like appearance. In the ICH mouse model, the ipsilateral striatum and corpus callosum of hematoma axons showed an obvious pattern of demyelination and loss of uniformity in size and shape. Furthermore, the axonal bundles were fragmented and myelin appeared fractured (93).

Magnetic resonance imaging (MRI) is a non-invasive imaging technique that allows three-dimensional (3D) assessment of brain tissue and has been widely used to evaluate the structure and function of the white matter (94) (Figures 2A–C). WMI after ICH presents as hyperintensities on T2 sequences, which correlate with the hematoma volume (46, 81, 95). However, T1 and T2 sequences cannot accurately assess the WMI. Diffusion tensor imaging (DTI) can detect the thermal movement of water molecules in white matter with a higher sensitivity than conventional MRI sequences in WMI. By measuring parameters such as fractional anisotropy, mean diffusivity, axial diffusivity, and radial diffusivity, DTI can evaluate the integrity and connectivity of fibers, rebuild the 3D distribution of white matter pathways in injured regions, and help determine the microstructural pathophysiology (21). After ICH, DTI revealed that WMI presents as decreased fractional anisotropy, axial diffusivity, and increased radial diffusivity (96).

FIGURE 2
www.frontiersin.org

Figure 2. Example of white matter injury (WMI) after intracerebral hemorrhage (ICH). (A) T1-weighted image after ICH. (B,C) Diffusion tensor images of WMI after ICH.

Treatment of White Matter Injury After Intracerebral Hemorrhage

Removal of the Hematoma

As mentioned above, the hematoma can directly damage white matter fibers in the hematoma core and compress the fibers in the perihematoma region. Surgical removal may be an effective treatment for ICH, as it can relieve nerve compression and the toxic stimulation of the perihematoma region, lower intracranial pressure, and improve patient outcomes. The main surgical methods include craniotomic hematoma dissection, stereotactic hematoma removal, and the endoscopic hematoma evacuation (97). However, the optimal method remains unknown. With advances in micro-neurosurgery, minimally invasive hematoma evacuation is a common surgical technique used to treat ICH. The results of three small randomized trials showed that minimally invasive surgery with instillation of urokinase can improve functional outcomes; however, it has no effect on reducing the risk of death (9799). The results of the MISTIE III trial showed that stereotactic hematoma removal did not improve functional outcomes compared with standard medical care in patients with large hematomas (100).

Inhibition of Oxidative Stress

Oxidative stress is an important injurious factor that leads to WMI, and it can be relieved. After ICH, treatment with zinc protoporphyrin (ZnPP) inhibited the degradation of hemoglobin and alleviated WMI (101). Baicalein can increase superoxide dismutase and glutathione peroxidase activities and downregulate malondialdehyde, thereby alleviating oxidative stress (102). Administration of isoliquiritigenin in the acute ICH phase relieves neurological deficits via regulation of ROS/nuclear factor (NF)-κB on the activation of the NLRP3 inflammatory pathway by triggering Nrf2 activity and the Nrf2-induced antioxidant system (102). HC-030031, an antagonist of transient receptor potential ankyrin 1, can relieve WMI by inhibiting ROS production (16). Mitoquinone, a selective mitochondrial ROS scavenger, reduces demyelination and axon swelling by blocking ATP depletion and mitochondrial ROS overproduction (16). The deposition of iron increases ROS production. Thus, iron chelators can decrease ROS levels and alleviate WMI (103).

Reducing Neuroinflammation

Neuroinflammation is a key pathological mechanism of WMI after ICH; therefore, reducing inflammatory reactions can alleviate WMI. Neutrophils are an important component of neuroinflammation. Using corresponding antibodies to deplete circulating blood neutrophils can reduce activated microglia/macrophages and decrease demyelination and axon damage (14, 104). Microglia are a major component of pro-inflammatory glial cells and have two proposed phenotypes. VK28 and IL33 treatment drives M1 into the M2 phenotype, which can ameliorate WMI and improve neurological function (78, 105). Iron deposition after ICH causes inflammatory cell activation and the release of inflammatory cytokines, which induce WMI and neurological dysfunction. Iron chelators such as 2,2′-dipyridyl and deferoxamine can suppress the inflammatory response through the tumor necrosis factor (TNF)-α/receptor-interacting protein kinase 1 (RIPK1) and JNK pathways (39, 103, 106). Treatment with FYT720, an immune-modulating drug, can regulate the polarization of microglia and decrease the level of TNF-α, thereby improving WMI outcomes (106). In a study by Yang et al. (107), the results showed that inhibition of histone deacetylases promoted microglia toward the M2 (anti-inflammatory) phenotype and alleviated WMI and the neurological outcomes induced by ICH, which may involve the JAK/signal transducer and activator of transcription (STAT) signaling pathway.

Minocycline, a tetracycline antibiotic, can reduce microglial activation and alleviate WMI in pigs through the transforming growth factor (TGF)-β/mitogen-activated protein kinase (MAPK) pathway (17). Minocycline is also able to suppress iron deposition and induce WMI and c-JNK activation after ICH in rats (38, 107). FPS-ZM1, a receptor for advanced glycation end-product (RAGE)-specific antagonist, decreases WMI after ICH (108). SC51089, a prostaglandin E2 type 1 receptor (EP1R) antagonist, decreases Src kinase phosphorylation and MMP-9 activity and relieves axonal damage (109). Supplementing taurine, a CNS amino acid, can reduce neuroinflammation and improve the outcome of WMI (92). Autophagy of microglia can promote neuroinflammation; therefore, reducing inflammation may delay WMI development (110). Another study found that New Interacting Motif E shot (NIMoEsh) could inhibit the activity of JNK and thus improve inflammation and WMI after ICH in mice (72).

Remyelination and Axon Regeneration

After ICH, many factors induce demyelination and are associated with mature oligodendrocyte death. OPCs migrate to the lesion and differentiate into mature forms, which are key factors for remyelination. In vitro, insulin-like growth factor-1 (IGF-1) and platelet-derived growth factor (PDGF) increase OPC proliferation (110112), and microglia regulate the differentiation process of oligodendrocytes. M1 microglia eliminate damaged cells and degrade myelin sheaths, thereby facilitating remyelination. M2 microglia secrete neurotrophic factors such as brain-derived neurotrophic factor (BDNF), which assists in remyelination (113). Rosiglitazone, a peroxisome proliferator-activated receptor-γ agonist, increases M2 microglia, reduces M1 microglia, and induces OPC differentiation (114). Lithium, as an inorganic salt, has been safely used for the treatment of bipolar disorder in the clinical setting. Li et al. (115) showed that lithium treatment might exert therapeutic efficacy on WMI after ICH through endogenous BDNF signaling in mice, resulting in remyelination.

Axonal dysfunction causes severe symptoms; therefore, its regeneration is a potential treatment for WMI. A study showed that hydrogels help to regenerate axons after peripheral nerve injury, and this may also be beneficial in ICH recovery (116). After CNS injury in adults, modulation of melanopsis/G protein-coupled receptor (GPCR) signaling promotes axon regeneration, which may be exploited in ICH (117). Recently, exosomes have attracted attention because they show great promise as therapeutics for certain diseases. Treatment of rats with mesenchymal stem cell-derived exosomes after ICH maintained the integrity of white matter fibers, stimulated axonal sprouting, and initiated white matter repair (45, 118).

Other treatments include stem cell transplantation, gene therapy, and molecular therapy, although the mechanisms of action of these therapies are not fully understood. Therefore, additional research is required to develop novel treatments for WMI after ICH.

Limitations

Although our work provides a comprehensive review of WMI after ICH, our study has several limitations. First, in our review, we focused only on WMI of ICH. However, WMI is a common complication of many CNS diseases, such as ischemic stroke, TBI, and Alzheimer's disease. Further studies are required to obtain additional details concerning other acute and chronic neurological diseases related to WMI. Second, we explored the treatment of WMI after ICH (Table 1 and Figure 3); however, the optimal treatment remains unknown. Therefore, further studies are necessary to determine the ideal treatment for WMI after ICH. Third, many studies on WMI after ICH have been conducted in animal models, so the clinical transformation value of our conclusion is limited. Therefore, further studies are essential to explore the mechanism of WMI in ICH.

TABLE 1
www.frontiersin.org

Table 1. The treatment of WMI after ICH.

FIGURE 3
www.frontiersin.org

Figure 3. The potential therapeutic strategy of white matter injury (WMI) after intracerebral hemorrhage (ICH).

Perspective

Although many studies have focused on WMI after ICH, the underlying mechanism is not yet fully understood. Therefore, effective treatment strategies for WMI after ICH are lacking. Further research should focus on exploring an effective therapeutic strategy for WMI after ICH. The proportion of white matter in the human brain is 50%, whereas, in ICH patients, WMI targeted a more severe outcome. Imaging technology can provide a detailed assessment of WMI in patients with ICH. Therefore, investigating new and novel imaging technologies provides an exciting direction for further research.

Conclusion

A series of pathophysiological changes causes both gray and white matter injuries after ICH. Most studies have focused on gray matter injury, while both gray and white matter are equally important in maintaining normal brain function. Therefore, the present treatments are not comprehensive. With increased investigation, WMI-based treatments may provide novel directions for basic research on ICH. Developing treatments that target both white matter and gray matter injuries may alleviate brain damage and improve patient' outcomes after ICH.

Author Contributions

GC conceived and designed the paper. XF wrote the paper. GZ and JL assisted in writing the paper. LW collected the data. FY designed how to collect data from online sources. YP developed the original plan. YC hints and advises. JZ coordinated data collection. HZh proofread. CX participated in the discussion. HZe contributed analysis tools. All authors contributed to the article and approved the submitted version.

Funding

This work was supported by the National Key R&D program of China (No. 2018YFC1312600), the National Nature Science Foundation of China (No. 81571106), and the Key Research and Development Project of Zhejiang Province (No. 2018C03011).

Conflict of Interest

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

Acknowledgments

We gratefully acknowledge Dr. Taohong Zhang from the School of International Studies, Zhejiang University, for the check of the grammar and spelling mistakes in the manuscript.

References

1. Qureshi AI, Mendelow AD, Hanley DF. Intracerebral haemorrhage. Lancet. (2009) 8:1632–44. doi: 10.1016/S0140-6736(09)60371-8

CrossRef Full Text | Google Scholar

2. van Asch CJM, Luitse MJM, Rinkel GJM, van der Tweel IP, Algra AM, Klijn CJM. Incidence, case fatality, and functional outcome of intracerebral haemorrhage over time, according to age, sex, and ethnic origin: a systematic review and meta-analysis. Lancet Neurol. (2010) 9:167–76. doi: 10.1016/S1474-4422(09)70340-0

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Fogelholm R, Murros K, Rissanen A, Avikainen S. Long term survival after primary intracerebral haemorrhage: a retrospective population based study. J Neurol Neurosurg Psychiatry. (2005) 76:1534–8. doi: 10.1136/jnnp.2004.055145

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Tschoe C, Bushnell CD, Duncan PW, Alexander-Miller MA, Wolfe SQ. Neuroinflammation after intracerebral hemorrhage and potential therapeutic targets. J Stroke. (2020) 22:29–46. doi: 10.5853/jos.2019.02236

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Adeoye O, Broderick JP. Advances in the management of intracerebral hemorrhage. Nat Rev Neurol. (2010) 146:593–601. doi: 10.1038/nrneurol.2010.146

CrossRef Full Text | Google Scholar

6. Ariesen MJ, Claus SP, Rinkel GJE, Algra A. Risk factors for intracerebral hemorrhage in the general population a systematic review. Stroke. (2003) 8:2060–6. doi: 10.1161/01.STR.0000080678.09344.8D

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Meretoja A, Strbian D, Putaala J, Curtze S, Haapaniemi E, Mustanoja S, et al. SMASH-U a proposal for etiologic classification of intracerebral hemorrhage. Stroke. (2012) 112:2592–7. doi: 10.1161/STROKEAHA.112.661603

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Guohua Xi, Keep RF, Hoff JT. Mechanisms of brain injury after intracerebral haemorrhage. Lancet Neurol. (2006) 2006:53–63. doi: 10.1016/S1474-4422(05)70283-0

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Zhu H, Wang Z, Yu J, Yang X, He F, Liu Z, et al. Role and mechanisms of cytokines in the secondary brain injury after intracerebral hemorrhage. Progr Neurobiol. (2019) 178:101610. doi: 10.1016/j.pneurobio.2019.03.003

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Zhu W, Gao Y, Wan J, Lan X, Han X, Zhu S, et al. Changes in motor function, cognition, and emotion-related behavior after right hemispheric intracerebral hemorrhage in various brain regions of mouse. Brain Behav Immunity. (2018) 69:568–81. doi: 10.1016/j.bbi.2018.02.004

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Jiang YB, Wei KY, Zhang XY, Feng H, Hu R. White matter repair and treatment strategy after intracerebral hemorrhage. CNS Neurosci Therapeut. (2019) 25:1113–25. doi: 10.1111/cns.13226

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Smith EE, Gurol ME, Eng JA, Engel CR, Nguyen TN, Rosand J, et al. White matter lesions, cognition, and recurrent hemorrhage in lobar intracerebral hemorrhage. Neurology. (2004) 63:1606–12. doi: 10.1212/01.WNL.0000142966.22886.20

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Lan X, Han X, Li Q, Yang QW, Wang J. Modulators of microglial activation and polarization after intracerebral haemorrhage. Nat Rev Neurol. (2017) 13:420–33. doi: 10.1038/nrneurol.2017.69

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Moxon-Emre I, Schlichter LC. Neutrophil depletion reduces blood-brain barrier breakdown, axon injury, and inflammation after intracerebral hemorrhage. J Neuropathol Exp Neurol. (2011) 70:218–35. doi: 10.1097/NEN.0b013e31820d94a5

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Joseph MJ, Caliaperumal J, Schlichter LC. After intracerebral hemorrhage, oligodendrocyte precursors proliferate and differentiate inside white-matter tracts in the rat striatum. Transl Stroke Res. (2016) 7:192–208. doi: 10.1007/s12975-015-0445-3

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Xia M, Chen W, Wang J, Yin Y, Guo C, Li C, et al. TRPA1 activation-induced myelin degradation plays a key role in motor dysfunction after intracerebral hemorrhage. Front Mol Neurosci. (2019) 12:98. doi: 10.3389/fnmol.2019.00098

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Yang H, Gao XJ, Li YJ, Su JB, Zhang X, Ni W, et al. Minocycline reduces intracerebral hemorrhage–induced white matter injury in piglets. CNS Neurosci Therapeut. (2019) 25:1195–206. doi: 10.1111/cns.13220

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Chen W, Guo C, Jia Z, Wang J, Xia M, Li C, et al. Inhibition of mitochondrial ROS by MitoQ alleviates white matter injury and improves outcomes after intracerebral haemorrhage in mice. Oxid Med Cell Longevity. (2020) 2020:1–12. doi: 10.1155/2020/8285065

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Zuo S, Pan P, Li Q, Chen Y, Feng H. White matter injury and recovery after hypertensive intracerebral hemorrhage. BioMed Res Int. (2017) 2017:1–11. doi: 10.1155/2017/6138424

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Satomi J, Hadeishi H, Yoshida Y, Suzuki A, Nagahiro S. Histopathological findings in brains of patients who died in the acute stage of poor-grade subarachnoid hemorrhage. Neurologia Medico-Chirurgica. (2016) 56:766–70. doi: 10.2176/nmc.oa.2016-0061

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Tao C, Hu X, Li H, You C. White Matter injury after intracerebral hemorrhage: pathophysiology and therapeutic strategies. Front Hum Neurosci. (2017) 11:422. doi: 10.3389/fnhum.2017.00422

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Gaynor JW, Nicolson SC, Spray DM, Burnham NB, Chittams JL, Sammarco T, et al. Remote ischemic preconditioning does not prevent white matter injury in neonates. Ann Thoracic Surg. (2018) 106:60. doi: 10.1016/j.athoracsur.2018.02.060

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Mierzwa AJ, Marion CM, Sullivan GM, McDaniel DP, Armstrong RC. Components of myelin damage and repair in the progression of white matter pathology after mild traumatic brain injury. J Neuropathol Exp Neurol. (2015) 74:218–32. doi: 10.1097/NEN.0000000000000165

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Grysiewicz R, Gorelick PB. Key neuroanatomical structures for post-stroke cognitive impairment. Curr Neurol Neurosci Rep. (2012) 12:703–8. doi: 10.1007/s11910-012-0315-2

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Tortora D, Mattei PA, Navarra R, Panara V, Salomone R, Rossi A, et al. Prematurity and brain perfusion: arterial spin labeling MRI. NeuroImage Clin. (2017) 15:401–7. doi: 10.1016/j.nicl.2017.05.023

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Stetler RA, Gao Y, Leak RK, Weng Z, Shi Y, Zhang L, et al. APE1/Ref-1 facilitates recovery of gray and white matter and neurological function after mild stroke injury. Proc Natl Acad Sci USA. (2016) 113:E3558–67. doi: 10.1073/pnas.1606226113

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Fozouni N, Chopp M, Nejad-Davarani SP, Zhang ZG, Lehman NL, Gu S, et al. Characterizing brain structures and remodeling after TBI based on information content, diffusion entropy. PLoS ONE. (2013) 8:e76343. doi: 10.1371/journal.pone.0076343

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Yuana W, Mellera A, Shimony JS, Nash T, Jones BV, Holland SK, et al. Left hemisphere structural connectivity abnormality in pediatric hydrocephalus patients following surgery. Neuroimage Clin. (2016) 3:631–9. doi: 10.1016/j.nicl.2016.09.003

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Gerrish AC, Thomas AG, Dineen RA. Brain white matter tracts: functional anatomy and clinical relevance. Semin Ultrasound CT MR. (2014) 35:432–44. doi: 10.1053/j.sult.2014.06.003

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Wang S, Young KM. White matter plasticity in adulthood. Neuroscience. (2014) 18:148–60. doi: 10.1016/j.neuroscience.2013.10.018

CrossRef Full Text | Google Scholar

31. Schmahmann JD, Smith EE, Eichler FS, Filley CM. Cerebral white matter. Ann N Y Acad Sci. (2008) 1142:266–309. doi: 10.1196/annals.1444.017

CrossRef Full Text | Google Scholar

32. Marner L, Nyengaard JR, Tang Y, Pakkenberg B. Marked loss of myelinated nerve fibers in the human brain with age. J Comparat Neurol. (2003) 462:144–52. doi: 10.1002/cne.10714

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Brown WR, Thore CR, Moody DM, Robbins ME, Wheeler KT. Vascular damage after fractionated whole-brain irradiation in rats. Radiat Res. (2005) 164:662–8. doi: 10.1667/RR3453.1

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Pang J, Peng J, Yang P, Kuai L, Chen L, Zhang JH, et al. White matter injury in early brain injury after subarachnoid hemorrhage. Cell Transplantation. (2018) 28:26–35. doi: 10.1177/0963689718812054

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Dewar D, Yam P, McCulloch J. Drug development for stroke: importance of protecting cerebral white matter. Eur J Pharmacol. (1999) 375:41–50. doi: 10.1016/S0014-2999(99)00280-0

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Nguyen AP, Huynh HD, Sjovold SB, Colbourne F. Progressive brain damage and alterations in dendritic arborization after collagenase-induced intracerebral hemorrhage in rats. Curr Neurovasc Res. (2008) 5:171. doi: 10.2174/156720208785425710

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Wasserman JK, Schlichter LC. White matter injury in young and aged rats after intracerebral hemorrhage. Exp Neurol. (2008) 214:266–75. doi: 10.1016/j.expneurol.2008.08.010

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Zou X, Wu Z, Zhu W, Chen L, Mao Y, Zhao F. Effectiveness of minocycline in acute white matter injury after intracerebral hemorrhage. J Neurosurg. (2016) 126:1855–62. doi: 10.3171/2016.5.JNS152670

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Ni W, Okauchi M, Hatakeyama T, Gu Y, Keep RF, Xi G, et al. Deferoxamine reduces intracerebral hemorrhage-induced white matter damage in aged rats. Exp Neurol. (2015) 272:128–34. doi: 10.1016/j.expneurol.2015.02.035

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Fancy SP, Zhao C, Franklin RJ. Increased expression of Nkx2.2 and Olig2 identifies reactive oligodendrocyte progenitor cells responding to demyelination in the adult CNS. Mol Cell Neurosci. (2004) 27:247–54. doi: 10.1016/j.mcn.2004.06.015

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Zhuo F, Qiu G, Xu J, Yang M, Wang K, Liu H, Huang J, et al. Both endoplasmic reticulum and mitochondrial pathways are involved in oligodendrocyte apoptosis induced by capsular hemorrhage. Mol Cell Neurosci. (2016) 72:64–71. doi: 10.1016/j.mcn.2016.01.009

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Powers WJ. Intracerebral hemorrhage and head trauma: common effects and common mechanisms of injury. Stroke. (2010) 41:S107–10. doi: 10.1161/STROKEAHA.110.595058

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Slater G, Vladeck BC, Bassin R, Brown RSWCS. Sequential changes in cerebral blood flow and distribution of flow within the brain during hemorrhagic shock. Ann Surg. (1975) 181:1. doi: 10.1097/00000658-197501000-00001

CrossRef Full Text | Google Scholar

44. Brooks GA, Martin NA. Cerebral metabolism following traumatic brain injury: new discoveries with implications for treatment. Front Neurosci. (2014) 8:408. doi: 10.3389/fnins.2014.00408

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Martinez Sosa S, Smith KJ. Understanding a role for hypoxia in lesion formation and location in the deep and periventricular white matter in small vessel disease and multiple sclerosis. Clin Sci. (2017) 131:2503–24. doi: 10.1042/CS20170981

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Wang Y, Liu G, Hong D, Chen F, Ji X, Cao G. White matter injury in ischemic stroke. Progr Neurobiol. (2016) 141:45–60. doi: 10.1016/j.pneurobio.2016.04.005

CrossRef Full Text | Google Scholar

47. Cao S, Zheng M, Hua Y, Chen G, Keep RF, Xi G. Hematoma changes during clot resolution after experimental intracerebral hemorrhage. Stroke. (2016) 47:1626–31. doi: 10.1161/STROKEAHA.116.013146

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Hu X, Tao C, Gan Q, Zheng J, Li H, You C. Oxidative stress in intracerebral hemorrhage: sources, mechanisms, and therapeutic targets. Oxid Med Cell Longev. (2016) 2016:3215391. doi: 10.1155/2016/3215391

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Lakovic K, Ai J, D'Abbondanza J, Tariq A, Sabri M, Alarfaj AK, et al. Bilirubin and its oxidation products damage brain white matter. J Cereb Blood Flow Metab. (2014) 34:1837–47. doi: 10.1038/jcbfm.2014.154

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Frati A, Cerretani D, Fiaschi AI, Frati P, Gatto V, La Russa R, et al. Diffuse axonal injury and oxidative stress: a comprehensive review. Int J Mol Sci. (2017) 18:122600. doi: 10.3390/ijms18122600

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Janyou A, Wicha P, Jittiwat J, Suksamrarn A, Tocharus C, Tocharus J. Dihydrocapsaicin attenuates blood brain barrier and cerebral damage in focal cerebral ischemia/reperfusion via oxidative stress and inflammatory. Sci Rep. (2017) 7:10556–11. doi: 10.1038/s41598-017-11181-5

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Shah SA, Amin FU, Khan M, Abid MN, Rehman SU, Kim TH, et al. Anthocyanins abrogate glutamate-induced AMPK activation, oxidative stress, neuroinflammation, and neurodegeneration in postnatal rat brain. J Neuroinflam. (2016) 13:752. doi: 10.1186/s12974-016-0752-y

PubMed Abstract | CrossRef Full Text | Google Scholar

53. Badaut J, Badaut J, Bix GJ, Bix GJ. Vascular neural network phenotypic transformation after traumatic injury: potential role in long-term sequelae. Transl Stroke Res. (2014) 5:394–406. doi: 10.1007/s12975-013-0304-z

PubMed Abstract | CrossRef Full Text | Google Scholar

54. Yang Y, Kimura-Ohba S, Thompson JF, Salayandia VM, Cosse M, Raz L, et al. Vascular tight junction disruption and angiogenesis in spontaneously hypertensive rat with neuroinflammatory white matter injury. Neurobiol Dis. (2018) 12:95–110. doi: 10.1016/j.nbd.2018.02.012

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Cai W, Cai W, Liu H, Liu H, Zhao J, Zhao J, et al. Pericytes in brain injury and repair after ischemic stroke. Transl Stroke Res. (2017) 8:107–21. doi: 10.1007/s12975-016-0504-4

PubMed Abstract | CrossRef Full Text | Google Scholar

56. Alhadidi Q, Bin SM, Shah ZA. Cofilin as a promising therapeutic target for ischemic and hemorrhagic stroke. Transl Stroke Res. (2016) 7:33–41. doi: 10.1007/s12975-015-0438-2

PubMed Abstract | CrossRef Full Text | Google Scholar

57. Wang LW, Tu YF, Huang CC, Ho CJ. JNK signaling is the shared pathway linking neuroinflammation, blood-brain barrier disruption, and oligodendroglial apoptosis in the white matter injury of the immature brain. J Neuroinflammation. (2012) 9:175. doi: 10.1186/1742-2094-9-175

PubMed Abstract | CrossRef Full Text | Google Scholar

58. Ueno M, Akiguchi I, Hosokawa M, Kotani H, Kanenishi K, Sakamoto H. Blood-brain barrier permeability in the periventricular areas of the normal mouse brain. Acta Neuropathol. (2000) 99:385–92. doi: 10.1007/s004010051140

PubMed Abstract | CrossRef Full Text | Google Scholar

59. Han Y, Seyfried D, Meng Y, Yang D, Schultz L, Chopp M, et al. Multipotent mesenchymal stromal cell – derived exosomes improve functional recovery after experimental intracerebral hemorrhage in the rat. J Neurosurg. (2019) 131:290–300. doi: 10.3171/2018.2.JNS171475

PubMed Abstract | CrossRef Full Text | Google Scholar

60. Karve IP, Taylor JM, Crack PJ. The contribution of astrocytes and microglia to traumatic brain injury. Br J Pharmacol. (2016) 173:692–702. doi: 10.1111/bph.13125

PubMed Abstract | CrossRef Full Text | Google Scholar

61. Wen L, You W, Wang H, Meng Y, Feng J, Yang X. Polarization of microglia to the M2 phenotype in a peroxisome proliferator-activated receptor gamma–dependent manner attenuates axonal injury induced by traumatic brain injury in mice. J Neurotrauma. (2018) 35:2330–40. doi: 10.1089/neu.2017.5540

PubMed Abstract | CrossRef Full Text | Google Scholar

62. Menzel L, Kleber L, Friedrich C, Hummel R, Dangel L, Winter J, et al. Progranulin protects against exaggerated axonal injury and astrogliosis following traumatic brain injury. Glia. (2017) 65:278–92. doi: 10.1002/glia.23091

PubMed Abstract | CrossRef Full Text | Google Scholar

63. Qin B, Fan W, Liu Q, Shang K, Murugan M, Wu L, et al. Fingolimod protects against ischemic white matter damage by modulating microglia toward M2 polarization via STAT3 pathway. Stroke. (2017) 48:3336–46. doi: 10.1161/STROKEAHA.117.018505

PubMed Abstract | CrossRef Full Text | Google Scholar

64. Peng J, Pang J, Huang L, Enkhjargal B, Zhang T, Mo J, et al. LRP1 activation attenuates white matter injury by modulating microglial polarization through Shc1/PI3K/Akt pathway after subarachnoid hemorrhage in rats. Redox Biol. (2019) 2019:101121. doi: 10.1016/j.redox.2019.101121

PubMed Abstract | CrossRef Full Text | Google Scholar

65. Ransohoff RM. A polarizing question: do M1 and M2 microglia exist? Nat Neurosci. (2016) 19:987–91. doi: 10.1038/nn.4338

PubMed Abstract | CrossRef Full Text | Google Scholar

66. Butovsky O, Weiner HL. Microglial signatures and their role in health and disease. Nat Rev Neurosci. (2018) 19:622–35. doi: 10.1038/s41583-018-0057-5

PubMed Abstract | CrossRef Full Text | Google Scholar

67. Jha MK, Lee W, Suk K. Functional polarization of neuroglia: implications in neuroinflammation and neurological disorders. Biochem Pharmacol. (2016) 103:1–16. doi: 10.1016/j.bcp.2015.11.003

PubMed Abstract | CrossRef Full Text | Google Scholar

68. Liddelow SA, Guttenplan KA, Clarke LE, Bennett FC, Bohlen CJ, Schirmer L, et al. Neurotoxic reactive astrocytes are induced by activated microglia. Nature. (2017) 541:481–7. doi: 10.1038/nature21029

PubMed Abstract | CrossRef Full Text | Google Scholar

69. Mracsko E, Veltkamp R. Neuroinflammation after intracerebral hemorrhage. Front Cell Neurosci. (2014) 8:388. doi: 10.3389/fncel.2014.00388

CrossRef Full Text | Google Scholar

70. Kong Y, Le Y. Toll-like receptors in inflammation of the central nervous system. Int Immunopharmacol. (2011) 11:1407–14. doi: 10.1016/j.intimp.2011.04.025

PubMed Abstract | CrossRef Full Text | Google Scholar

71. Gao Y, Signore AP, Yin W, Cao G, Yin XM, Sun F, et al. Neuroprotection against focal ischemic brain injury by inhibition of c-Jun N-terminal kinase and attenuation of the mitochondrial apoptosis-signaling pathway. J Cereb Blood Flow Metab. (2005) 25:694–712. doi: 10.1038/sj.jcbfm.9600062

PubMed Abstract | CrossRef Full Text | Google Scholar

72. Zhang Z, Zhou M, Liu N, Shi Z, Pang Y, Li D, et al. The protection of New Interacting Motif E shot (NIMoEsh) in mice with collagenase-induced acute stage of intracerebral hemorrhage. Brain Res Bullet. (2019) 148:70–8. doi: 10.1016/j.brainresbull.2019.03.012

PubMed Abstract | CrossRef Full Text | Google Scholar

73. Wu G, Li S, Wang L, Mao Y. The perihematomal glutamate level is associated with the outcome of patients with basal ganglia hematomas treated by inimally invasive procedures. Neurol Res. (2013) 35:829–36. doi: 10.1179/1743132813Y.0000000220

PubMed Abstract | CrossRef Full Text | Google Scholar

74. Wu G, Sun S, Sheng F, Wang L, Wang F. Perihematomal glutamate level is associated with the blood–brain barrier disruption in a rabbit model of intracerebral hemorrhage. SpringerPlus. (2013) 2:1–8. doi: 10.1186/2193-1801-2-358

PubMed Abstract | CrossRef Full Text | Google Scholar

75. Matute B, Alberdi E, Domercq M, Sánchez-Gómez M, Pérez-Samartín A, Rodríguez-Antigüedad A, et al. Excitotoxic damage to white matter. J Anat. (2007) 210:693–702. doi: 10.1111/j.1469-7580.2007.00733.x

CrossRef Full Text | Google Scholar

76. Zhang J, Liu J, Fox HS, Xiong H. N-methyl-D-aspartate receptor-mediated axonal injury in adult rat corpus callosum. J Neurosci Res. (2013) 91:240–8. doi: 10.1002/jnr.23150

PubMed Abstract | CrossRef Full Text | Google Scholar

77. Park B, Velumian AA, Fehlings MG. The role of excitotoxicity in secondary mechanisms of spinal cord injury: a review with an emphasis on the implications for white matter degeneration. J Neurotrauma. (2004) 21:754–74. doi: 10.1089/0897715041269641

PubMed Abstract | CrossRef Full Text | Google Scholar

78. Chen Z, Xu N, Dai X, Zhao C, Wu X, Shankar S, et al. Interleukin-33 reduces neuronal damage and white matter injury via selective microglia M2 polarization after intracerebral hemorrhage in rats. Brain Res Bullet. (2019) 150:127–35. doi: 10.1016/j.brainresbull.2019.05.016

PubMed Abstract | CrossRef Full Text | Google Scholar

79. Yang H, Ni W, Jiang H, Lei Y, Su J, Gu Y, et al. Histone deacetylase inhibitor scriptaid alleviated neurological dysfunction after experimental intracerebral hemorrhage in mice. Behav Neurol. (2018) 2018:6583267–8. doi: 10.1155/2018/6583267

PubMed Abstract | CrossRef Full Text | Google Scholar

80. Lively S, Schlichter LC. SC1/hevin identifies early white matter injury after ischemia and intracerebral hemorrhage in young and aged rats. J Neuropathol Exp Neurol. (2012) 71:480–93. doi: 10.1097/NEN.0b013e318256901c

PubMed Abstract | CrossRef Full Text | Google Scholar

81. Lou M, Al-Hazzani A, Goddeau RJ, Novak V, Selim M. Relationship between white-matter hyperintensities and hematoma volume and growth in patients with intracerebral hemorrhage. Stroke. (2010) 41:34–40. doi: 10.1161/STROKEAHA.109.564955

PubMed Abstract | CrossRef Full Text | Google Scholar

82. Snaidero N, Velte C, Myllykoski M, Raasakka A, Ignatev A, Werner HB, et al. Antagonistic functions of MBP and CNP establish cytosolic channels in CNS myelin. Cell Rep. (2017) 18:314–23. doi: 10.1016/j.celrep.2016.12.053

PubMed Abstract | CrossRef Full Text | Google Scholar

83. Rowitch DH, Kriegstein AR. Developmental genetics of vertebrate glial–cell specification. Nature. (2010) 468:214–22. doi: 10.1038/nature09611

PubMed Abstract | CrossRef Full Text | Google Scholar

84. van Tilborg B, de Theije C, van Hal M, Wagenaar N, de Vries LS, Benders MJ, et al. Origin and dynamics of oligodendrocytes in the developing brain: implications for perinatal white matter injury. Glia. (2018) 66:221–38. doi: 10.1002/glia.23256

PubMed Abstract | CrossRef Full Text | Google Scholar

85. Tse K, Herrup K. DNA damage in the oligodendrocyte lineage and its role in brain aging. Mechanisms Age Dev. (2017) 161:37–50. doi: 10.1016/j.mad.2016.05.006

PubMed Abstract | CrossRef Full Text | Google Scholar

86. Guedes VA, Kenney K, Shahim P, Qu B, Lai C, Devoto C, et al. Exosomal neurofilament light A prognostic biomarker for remote symptoms after mild traumatic brain injury? Neurology. (2020) 94:e2412–23. doi: 10.1212/WNL.0000000000009577

PubMed Abstract | CrossRef Full Text | Google Scholar

87. Hviid CVB, Lauridsen SV, Gyldenholm T, Sunde N, Parkner T, Hvas A. Plasma neurofilament light chain is associated with poor functional outcome and mortality rate after spontaneous subarachnoid hemorrhage. Transl Stroke Res. (2020) 11:671–7. doi: 10.1007/s12975-019-00761-4

PubMed Abstract | CrossRef Full Text | Google Scholar

88. Hviid CVB, Gyldenholm T, Lauridsen SV, Hjort N, Hvas A, Parkner T. Plasma neurofilament light chain is associated with mortality after spontaneous intracerebral hemorrhage. Clin Chem Lab Med. (2020) 58:261–7. doi: 10.1515/cclm-2019-0532

PubMed Abstract | CrossRef Full Text | Google Scholar

89. Tiedt S, Duering M, Barro C, Kaya AG, Boeck J, Bode FJ, et al. Serum neurofilament light A biomarker of neuroaxonal injury after ischemic stroke. Neurology. (2018) 91:e1338–47. doi: 10.1212/WNL.0000000000006282

PubMed Abstract | CrossRef Full Text | Google Scholar

90. Pedersen A, Stanne TM, Nilsson S, Klasson S, Rosengren L, Holmegaard L, et al. Circulating neurofilament light in ischemic stroke: temporal profile and outcome prediction. J Neurol. (2019) 266:2796–806. doi: 10.1007/s00415-019-09477-9

PubMed Abstract | CrossRef Full Text | Google Scholar

91. Garland P, Morton M, Zolnourian A, Durnford A, Gaastra B, Toombs J, et al. Neurofilament light predicts neurological outcome after subarachnoid haemorrhage. Brain. (2021) 2021:awaa451. doi: 10.1093/brain/awaa451

PubMed Abstract | CrossRef Full Text | Google Scholar

92. Zhao H, Qu J, Li Q, Cui M, Wang J, Zhang K, et al. Taurine supplementation reduces neuroinflammation and protects against white matter injury after intracerebral hemorrhage in rats. Amino Acids. (2018) 50:439–51. doi: 10.1007/s00726-017-2529-8

PubMed Abstract | CrossRef Full Text | Google Scholar

93. Li Q, Weiland A, Chen X, Lan X, Han X, Durham F, et al. Ultrastructural characteristics of neuronal death and white matter injury in mouse brain tissues after intracerebral hemorrhage: coexistence of ferroptosis, autophagy, and necrosis. Front Neurol. (2018) 9:581. doi: 10.3389/fneur.2018.00581

PubMed Abstract | CrossRef Full Text | Google Scholar

94. Büchel C, Raedler T, Sommer M, Sach M, Weiller C, Koch MA. White matter asymmetry in the human brain: a diffusion tensor MRI study. Cerebral Cortex. (2004) 14:945–51. doi: 10.1093/cercor/bhh055

PubMed Abstract | CrossRef Full Text | Google Scholar

95. Wang D, Norton C, Helenius J, Xu X, Liu M, Selim M, et al. Progression of white matter injury after intracerebral hemorrhage: a magnetic resonance imaging study. World Neurosurg. (2019) 126:e534–44. doi: 10.1016/j.wneu.2019.02.089

PubMed Abstract | CrossRef Full Text | Google Scholar

96. Fox RJ, Cronin T, Lin J, Wang X, Sakaie K, Ontaneda D, et al. Measuring myelin repair and axonal loss with diffusion tensor imaging. Am J Neuroradiol. (2011) 32:85–91. doi: 10.3174/ajnr.A2238

PubMed Abstract | CrossRef Full Text | Google Scholar

97. Liu Z, Chen Q, Tian D, Wang L, Liu B, Zhang S. Clinical significance of dynamic monitoring by transcranial doppler ultrasound and intracranial pressure monitor after surgery of hypertensive intracerebral hemorrhage. Int J Clin Exp Med. (2015) 8:11456.

PubMed Abstract | Google Scholar

98. Wang W, Jiang B, Liu G, Li D, Lu C, Zhao Y, et al. Minimally invasive craniopuncture therapy vs. conservative treatment for spontaneous intracerebral hemorrhage: results from a randomized clinical trial in China. Int J Stroke. (2009) 4:11–16. doi: 10.1111/j.1747-4949.2009.00239.x

PubMed Abstract | CrossRef Full Text | Google Scholar

99. Wei PB, You C, Chen H, Zhang GB, He J, Yang M. Three treatments for moderate hypertensive intracerebral hemorrhage: a comparative therapeusis. Chin J Cerebrovasc Dis. (2010) 8:519–22.

Google Scholar

100. Hanley DF, Thompson RE, Rosenblum M, Yenokyan G, Lane K, McBee N, et al. Efficacy and safety of minimally invasive surgery with thrombolysis in intracerebral haemorrhage evacuation (MISTIE III): a randomised, controlled, open-label, blinded endpoint phase 3 trial. Lancet. (2019) 393:1021–32. doi: 10.1016/S0140-6736(19)30195-3

PubMed Abstract | CrossRef Full Text | Google Scholar

101. Gu Y, Gong Y, Liu W, Keep RF, Xi G, Hua Y. Zinc protoporphyrin attenuates white matter injury after intracerebral hemorrhage. Acta Neurochirurgica. (2016) 121:199. doi: 10.1007/978-3-319-18497-5_35

PubMed Abstract | CrossRef Full Text | Google Scholar

102. Wei N, Wei Y, Li B, Pang L. Baicalein promotes neuronal and behavioral recovery after intracerebral hemorrhage via suppressing apoptosis, oxidative stress and neuroinflammation. Neurochem Res. (2017) 42:1345–53. doi: 10.1007/s11064-017-2179-y

PubMed Abstract | CrossRef Full Text | Google Scholar

103. Wu H, Wu T, Li M, Wang J. Efficacy of the lipid-soluble iron chelator 2,2′-dipyridyl against hemorrhagic brain injury. Neurobiol Dis. (2012) 45:388–94. doi: 10.1016/j.nbd.2011.08.028

PubMed Abstract | CrossRef Full Text | Google Scholar

104. Egawa N, Lok J, Washida K, Arai K. Mechanisms of axonal damage and repair after central nervous system injury. Transl Stroke Res. (2017) 8:14–21. doi: 10.1007/s12975-016-0495-1

PubMed Abstract | CrossRef Full Text | Google Scholar

105. Li Q, Wan J, Lan X, Han X, Wang Z, Wang J. Neuroprotection of brain-permeable iron chelator VK-28 against intracerebral hemorrhage in mice. J Cereb Blood Flow Metabol. (2017) 37:3110–23. doi: 10.1177/0271678X17709186

PubMed Abstract | CrossRef Full Text | Google Scholar

106. Xie Q, Gu Y, Hua Y, Liu W, Keep RF, Xi G. Deferoxamine attenuates white matter injury in a piglet intracerebral hemorrhage model. Stroke. (2014) 45:290–2. doi: 10.1161/STROKEAHA.113.003033

PubMed Abstract | CrossRef Full Text | Google Scholar

107. Yang H, Ni W, Wei P, Li S, Gao X, Su J, et al. HDAC inhibition reduces white matter injury after intracerebral hemorrhage. J Cereb Blood Flow Metabol. (2020) 2020:0271678X2094261. doi: 10.1177/0271678X20942613

PubMed Abstract | CrossRef Full Text | Google Scholar

108. Yang B, Wang Z, Zhang JH, Tang J, Liu X, Tan L, et al. Receptor for advanced glycation end-product antagonist reduces blood–brain barrier damage after intracerebral hemorrhage. Stroke. (2015) 46:1328–36. doi: 10.1161/STROKEAHA.114.008336

PubMed Abstract | CrossRef Full Text | Google Scholar

109. Zhao X, Wu T, Chang C, Wu H, Han X, Li Q, et al. Toxic role of prostaglandin E2 receptor EP1 after intracerebral hemorrhage in mice. Brain Behav Immunity. (2015) 46:293–310. doi: 10.1016/j.bbi.2015.02.011

PubMed Abstract | CrossRef Full Text | Google Scholar

110. Shi B, Wang J, Wang J, Huang Z, Yang Z. IL-17A induces autophagy and promotes microglial neuroinflammation through ATG5 and ATG7 in intracerebral hemorrhage. J Neuroimmunol. (2018) 323:143–51. doi: 10.1016/j.jneuroim.2017.07.015

PubMed Abstract | CrossRef Full Text | Google Scholar

111. Grinspan JB, Franceschini B. Platelet-derived growth factor is a survival factor for PSA-NCAM + oligodendrocyte pre-progenitor cells. J Neurosci Res. (1995) 41:540–51. doi: 10.1002/jnr.490410414

PubMed Abstract | CrossRef Full Text | Google Scholar

112. McMorris FA, Dubois-Dalcq M. Insulin-like growth factor I promotes cell proliferation and oligodendroglial commitment in rat glial progenitor cells developing in vitro. J Neurosci Res. (1988) 21:199–209. doi: 10.1002/jnr.490210212

PubMed Abstract | CrossRef Full Text | Google Scholar

113. Veronique ABJZ, Miron E, Tracy JMR, Yuen J, Shadrach JL, Peter Van Wijngaarden AJW, et al. M2 microglia and macrophages drive oligodendrocyte differentiation during CNS remyelination. Nat Neurosci. (2013) 16:3469. doi: 10.1038/nn.3469

PubMed Abstract | CrossRef Full Text | Google Scholar

114. Han L, Cai W, Mao L, Liu J, Li P, Leak RK, et al. Rosiglitazone promotes white matter integrity and long-term functional recovery after focal cerebral ischemia. Stroke. (2015) 46:2628–36. doi: 10.1161/STROKEAHA.115.010091

PubMed Abstract | CrossRef Full Text | Google Scholar

115. Li M, Xia M, Chen W, Wang J, Yin Y, Guo C, et al. Lithium treatment mitigates white matter injury after intracerebral hemorrhage through brain-derived neurotrophic factor signaling in mice. Transl Res. (2020) 217:61–74. doi: 10.1016/j.trsl.2019.12.006

PubMed Abstract | CrossRef Full Text | Google Scholar

116. Carballo-Molina OA, Velasco I. Hydrogels as scaffolds and delivery systems to enhance axonal regeneration after injuries. Front Cell Neurosci. (2015) 9:13. doi: 10.3389/fncel.2015.00013

PubMed Abstract | CrossRef Full Text | Google Scholar

117. Li S, Yang C, Zhang L, Gao X, Wang X, Liu W, et al. Promoting axon regeneration in the adult CNS by modulation of the melanopsin/GPCR signaling. Proc Natl Acad Sci USA. (2016) 113:1937–42. doi: 10.1073/pnas.1523645113

PubMed Abstract | CrossRef Full Text | Google Scholar

118. Otero-Ortega L, Gómez De Frutos MC, Laso-García F, Rodríguez-Frutos B, Medina-Gutiérrez E, López JA, et al. Exosomes promote restoration after an experimental animal model of intracerebral hemorrhage. J Cere Blood Flow Metabol. (2017) 38:767–79. doi: 10.1177/0271678X17708917

PubMed Abstract | CrossRef Full Text | Google Scholar

119. Teernstra OPM, Evers SMAA, Lodder J, Leffers P, Franke CL, Blaauw G. Stereotactic treatment of intracerebral hematoma by means of a plasminogen activator. Stroke. (2003) 40:968–74. doi: 10.1161/01.STR.0000063367.52044.40

PubMed Abstract | CrossRef Full Text | Google Scholar

120. Zeng J, Chen Y, Ding R, Feng L, Fu Z, Yang S, et al. Isoliquiritigenin alleviates early brain injury after experimental intracerebral hemorrhage via suppressing ROS- and/or NF-κB-mediated NLRP3 inflammasome activation by promoting Nrf2 antioxidant pathway. J Neuroinflamma. (2017) 14:5. doi: 10.1186/s12974-017-0895-5

PubMed Abstract | CrossRef Full Text | Google Scholar

121. Yang Z, Dong S, Zheng Q, Zhang L, Tan X, Zou J, et al. FTY720 attenuates iron deposition and glial responses in improving delayed lesion and long-term outcomes of collagenase-induced intracerebral hemorrhage. Brain Res. (2019) 1718:91–102. doi: 10.1016/j.brainres.2019.04.031

PubMed Abstract | CrossRef Full Text | Google Scholar

122. Yang Y, Zhang K, Yin X, Lei X, Chen X, Wang J, et al. Quantitative iron neuroimaging can be used to assess the effects of minocycline in an intracerebral hemorrhage minipig model. Transl Stroke Res. (2020) 11:503–16. doi: 10.1007/s12975-019-00739-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: spontaneous intracerebral hemorrhage, white matter injury, demyelination, axonal damage, stroke

Citation: Fu X, Zhou G, Zhuang J, Xu C, Zhou H, Peng Y, Cao Y, Zeng H, Li J, Yan F, Wang L and Chen G (2021) White Matter Injury After Intracerebral Hemorrhage. Front. Neurol. 12:562090. doi: 10.3389/fneur.2021.562090

Received: 24 August 2020; Accepted: 05 May 2021;
Published: 10 June 2021.

Edited by:

Rick M. Dijkhuizen, University Medical Center Utrecht, Netherlands

Reviewed by:

Yujie Chen, Army Medical University, China
Zhong Wang, Soochow University, China

Copyright © 2021 Fu, Zhou, Zhuang, Xu, Zhou, Peng, Cao, Zeng, Li, Yan, Wang and Chen. 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: Gao Chen, ZC1jaGVuZ2FvJiN4MDAwNDA7emp1LmVkdS5jbg==

These authors have contributed equally to this work

Disclaimer: 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.