Skip to main content

ORIGINAL RESEARCH article

Front. Neurol., 08 July 2022
Sec. Neurological Biomarkers
This article is part of the Research Topic Potential Biomarkers in Neurovascular Disorders View all 50 articles

Association of Serum Interleukin-8 and Serum Amyloid A With Anxiety Symptoms in Patients With Cerebral Small Vessel Disease

\nLi-Li Shan&#x;Li-Li Shan1Yi-Lin Wang&#x;Yi-Lin Wang2Tian-Ci QiaoTian-Ci Qiao1Yue-Feng BianYue-Feng Bian1Ya-Jing HuoYa-Jing Huo1Cen GuoCen Guo1Qian-Yun LiuQian-Yun Liu1Zi-Dong YangZi-Dong Yang3Ze-Zhi LiZe-Zhi Li4Ming-Yuan Liu
Ming-Yuan Liu1*Yan Han
Yan Han1*
  • 1Department of Neurology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
  • 2Georgetown Preparatory School, North Bethesda, MD, United States
  • 3Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
  • 4Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China

Objective: Cerebral small vessel disease (CSVD) is a clinical syndrome caused by pathological changes in small vessels. Anxiety is a common symptom of CSVD. Previous studies have reported the association between inflammatory factors and anxiety in other diseases, but this association in patients with CSVD remains uncovered. Our study aimed to investigate whether serum inflammatory factors correlated with anxiety in patients with CSVD.

Methods: A total of 245 CSVD patients confirmed using brain magnetic resonance imaging (MRI) were recruited from December 2019 to December 2021. Hamilton Anxiety Rating Scale (HAMA) was used to assess the anxiety symptoms of CSVD patients. Patients with HAMA scores ≥7 were considered to have anxiety symptoms. The serum levels of interleukin-1β (IL-1β), IL-2R, IL-6, IL-8, IL-10, tumor necrosis factor-α (TNF-α), serum amyloid A (SAA), C-reactive protein (CRP), high-sensitivity C-reactive protein (hs-CRP) and erythrocyte sedimentation rate (ESR) were detected. We compared levels of inflammatory factors between the anxiety and non-anxiety groups. Logistic regression analyses examined the correlation between inflammatory factors and anxiety symptoms. We further performed a gender subgroup analysis to investigate whether this association differed by gender.

Results: In the fully adjusted multivariate logistic regression analysis model, we found that lower levels of IL-8 were linked to a higher risk of anxiety symptoms. Moreover, higher levels of SAA were linked to a lower risk of anxiety symptoms. Our study identified sex-specific effects, and the correlation between IL-8 and anxiety symptoms remained significant among males, while the correlation between SAA and anxiety symptoms remained significant among females.

Conclusions: In this study, we found a suggestive association between IL-8, SAA, and anxiety symptoms in CSVD participants. Furthermore, IL-8 and SAA may have a sex-specific relationship with anxiety symptoms.

Introduction

Cerebral small vessel disease (CSVD) represents a cluster of disorders in which pathological alterations are found in small arteries, arterioles, venules, and capillaries (1). The alterations of parenchymal visible on brain imaging are considered clinical hallmarks of CSVD (2). CSVD may lead to cognitive decline, dementia, gait impairment, mood disturbance, and stroke through multiple mechanisms (1, 35). Importantly, mood disturbances are very commonly identified in patients with CSVD (68). There exists evidence that MRI markers of CSVD are consistently associated with a higher incidence of depression (911). The vascular depression hypothesis postulates that CSVD leads to mood disorders via damage to brain structures or neural connections involved in mood regulation (9, 12). However, most small vessel disease lesions in CSVD patients are thought to be silent in clinically defined early stages, or clinical symptoms are often highly inconsistent with brain imaging (13). Accordingly, researchers have begun to focus on other predictors relevant to CSVD. Inflammation is attracting more attention as a risk factor and classical pathological feature of CSVD (14, 15).

On the other hand, early studies have suggested that chronic inflammation may potentially trigger mood disorders (1619). CSVD is often accompanied by anxiety symptoms, and such symptoms might also be correlated with inflammation, as often reported in the healthy population. The relationship between serum inflammatory factor levels and anxiety disorder has been much less studied than its relationship with depression. Recent studies have examined whether low-grade inflammation may be contributing to the connection between anxiety disorders and cardiovascular diseases (CVDs) (20). The mechanism behind the link between inflammation and anxiety may be that inflammatory markers influence metabolic pathways that affect functions of the neurotransmitters, ultimately affecting the neurocircuits that regulate anxiety (21, 22). In the context of anxiety disorders, the most studied inflammatory markers are CRP, interleukin (IL-6), and tumor necrosis factor (TNF) (21, 23, 24). However, a prominent role of other inflammation in psychopathology cannot be excluded (25, 26).

To the best of our knowledge, studies on the relationship between inflammatory markers and anxiety symptoms in CSVD patients are sparse, and it is further unknown whether the relationship would differ by gender.

In this study, we hypothesize that inflammatory markers may be one of the possible mechanisms of anxiety symptoms in CSVD patients. We aim to investigate which inflammatory factors or cytokines are the most predictive in explaining anxiety symptoms in CSVD. Further understanding of underlying anxiety mechanisms in CSVD may help identify potential new therapeutic targets.

Materials and Methods

Study Design and Participants

The ethics committee of Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, affiliated with the Shanghai University of Traditional Chinese Medicine, approved the study (Approval number: 2020–060). All subjects provided informed written consent. Patients with CSVD diagnosed using brain magnetic resonance imaging (MRI) admitted to the neurology department were sequentially screened from December 2019 to December 2021.

Inclusion criteria: 1. aged between 18 and 80 years, 2. patients with CSVD diagnosed by MRI based on the standards for reporting vascular changes on neuroimaging (STRIVE) (2), including typical radiological findings of lacunes of presumed vascular origin, white matter hyperintensity (WMH), moderate to severe (number of BG-EPVS > 10) basal ganglia enlarged perivascular spaces (BG-EPVS) (27) and cerebral microbleeds (CMB).

Exclusion criteria: 1. presence of speech or hearing impairment, unable to complete the questionnaires due to communication difficulties, 2. presence of severe organ dysfunction (liver and kidney diseases), immune diseases, cancer, acute infections, allergies, 3. presence of severe mental disorders, uncontrolled somatic diseases, 4. presence of contraindications to MRI, 5. presence of hereditary and amyloidosis or WMH caused by other reasons, 6. presence of Parkinson's disease, Alzheimer's disease or any other neurodegenerative disease, 7. presence stenosis of intracranial and extracranial large arteries (stenosis >50%), 8. patients treated with antipsychotic drugs within 2 weeks of initial screening.

Inflammatory Markers

Fasting venous blood was collected from each individual in the morning after fasting for 12 h using Vacutainer K2 EDTA Tube (6.0 mL, #367863; Becton Dickinson, Franklin Lakes, NJ, USA) and Vacutainer SST II Tube (5.0 mL, #367955; Becton Dickinson, Plymouth, UK). Serum levels of interleukin-1β (IL-1β), IL-2R, IL-6, IL-8, IL-10, and tumor necrosis factor-α (TNF-α) were detected by using Siemens kits in Immulite 1000 automatic chemiluminescence immunoassay analyzer (Siemens Healthcare Diagnostics GmbH, Berlin, Germany). C-reactive protein (CRP) was measured by scattering immunoturbidimetry using Mindray BC-6800 automated hematology analyzer (Mindray Bio-Medical Electronics Co., Ltd, Shenzhen, China). Serum amyloid A (SAA) was measured by scattering immunoturbidimetry using an Astep Plus protein analyzer (Goldsite Diagnostics Inc., Shenzhen, China). High-sensitivity C-reactive protein (hs-CRP) was detected by immunoturbidimetry using Beckerman AU5841 automatic biochemical analyzer (Beckman Coulter Inc., Brea, CA, USA). Erythrocyte sedimentation rate (ESR) was detected by capillary spectrophotometry using the TEST1 ESR analyzer (Alifax, Padova, Italy). All analyses were performed in the clinical laboratory department, located within the Hospital. The manufacturers provided the kits, and laboratory professionals performed all operations strictly according to the manufacturer's instructions.

Data Collection and Definitions

We evaluated all participants' Hamilton Anxiety Rating Scale (HAMA) scores (28). Demographic characteristics included sex, age, education, marital status (single, married, divorced, widowed, and remarried), living arrangements (living alone or living with others), and medical history. Since lifestyle was associated with both anxiety and inflammation, we assessed smoking status (never, occasional, current, former), alcohol intake (never, occasional, current, former), salt intake (≥6 g/day), physical activity, and body mass index (BMI, kg/m2). Patients with HAMA scores≥ 7 were included in the anxiety group and otherwise included in the non-anxiety group.

Statistical Analysis

Continuous variables conforming to normal distribution were presented as mean ± standard deviation (SD), and differences between groups were assessed using an independent t-test. Non-normally distributed continuous variables were described with median (quartile), and the Wilcoxon rank-sum test was applied for difference comparison. Frequencies and percentages expressed categorical data, and the Chi-squared test or Fisher's exact test was used for the intergroup comparison. Univariate and multivariate logistic regression analyses examined associations between serum inflammatory factors and anxiety symptoms. We applied restricted cubic spline (RCS) analysis to evaluate further the possible non-linear relationship between the inflammatory markers and anxiety symptoms. Three different models were tested to account for potential confounders: Model 1: unadjusted; Model 2: adjustment for age and sex; Model 3: adjustment for age, sex, passive smoking, and physical activity. In addition, we performed a gender subgroup analysis to examine the above association. Odds ratios (OR) with their 95% confidence interval (CI) were reported. Alpha was set at 0.05. Statistical analyses were performed using SAS 9.4 software (SAS Institute Inc., Cary, NC, USA).

Results

Demographic and Clinical Characteristics of Participants

Two hundred forty-five CSVD patients with an average age of 59 years old were included in this study, and 51% of them were female. The clinical characteristics of CSVD participants with or without anxiety symptoms are presented in Table 1. Among CSVD patients, individuals with anxiety symptoms were more physically active (p = 0.036), and the proportion of passive smokers was higher (p = 0.037) than participants without anxiety symptoms. There were no other statistically significant differences in demographic or clinical characteristics between the anxiety and non-anxiety groups.

TABLE 1
www.frontiersin.org

Table 1. Comparison of demographic information in CSVD patients with and without anxiety symptoms.

Comparison of Inflammatory Markers Levels

The comparison results of the serum inflammatory factors between the two groups are shown in Table 2. The serum levels of IL-8 (p = 0.003) and SAA (p = 0.01) in the anxiety group were significantly lower than those in the non-anxiety group, while other markers of inflammation, including TNF-α, IL-1β, IL-2R, IL-6, IL-10, hs-CRP, CRP, and ESR did not demonstrate significant differences between the two groups.

TABLE 2
www.frontiersin.org

Table 2. Comparisons of inflammatory markers between the two groups.

Association of Inflammatory Markers With Anxiety Symptoms

Restricted cubic spline (RCS) analysis revealed a non-linear relationship between IL-8, SAA, and anxiety symptoms, as shown in Figure 1. IL-8 and SAA were grouped in quartiles: first quartile (Q1; IL-8<30 pg/mL), Q2 (30 pg/mL≤ IL-8<58.15 pg/mL), Q3 (58.15 pg/mL≤ IL-8<124 pg/mL) and Q4 (IL-8≥124pg/mL), with the Q4 as the reference group; Q1(SAA <2.5 mg/L), Q2(2.5 mg/L≤SAA< 3.09 mg/L), Q3 (3.09 mg/L≤SAA<8.48 mg/L), Q4(SAA≥8.48 mg/L), with the Q2 as the reference group. Univariate and multivariate logistic regression were used to analyze the association between anxiety symptoms and inflammation markers and to adjust for possible confounding factors in CSVD patients, as shown in Table 3.

FIGURE 1
www.frontiersin.org

Figure 1. Examination of the relationship between IL-8 (A), SAA (B), and anxiety symptoms by restricted cubic splines analysis. Odds ratios are represented by the solid red line and the 95% confidence interval by the dotted line.

TABLE 3
www.frontiersin.org

Table 3. Odds ratios (95%CI) of anxiety symptoms associated with IL-8 and SAA.

Model 3 shows the associations after adjustment for age, sex, passive smoking, and physical activity. CSVD patients with lower levels of IL-8 were associated with a higher risk of anxiety symptoms. The odds ratios (OR) in the Q1 and Q2 were 3.32 (95% CI: 1.47–7.53, p = 0.004) and 2.28 (95% CI: 1.05–4.91, p = 0.036) compared with Q4, respectively. Patients with higher levels of SAA were associated with a lower risk of anxiety symptoms, the OR in Q4 was 0.51 (95%CI: 0.26–0.98, p = 0.045) compared with Q2.

Subgroup Analysis in Gender

Significant gender interactions were found between anxiety symptoms and inflammation (29, 30), which led us to perform regression analyses within the subgroups of gender. The results are shown in Table 4. CSVD patients with lower IL-8 levels were associated with an increased risk of anxiety in males but not in females, and the adjusted OR with 95%CI were 3.94 (1.22–12.70, p = 0.022), 3.93 (1.22–12.62, p = 0.021) and 3.32 (1.14-9.61, p = 0.027) in Q1, Q2 and Q3 vs. Q4, respectively. Compared with the lower SAA levels in Q2, higher SAA levels in Q4 were associated with a decreased risk of anxiety symptoms in females (OR = 0.33, 95%CI:0.12–0.88, p < 0.028) but not males.

TABLE 4
www.frontiersin.org

Table 4. Odds ratios (95%CI) of anxiety symptoms associated with IL−8 and SAA for gender subgroup analysis.

Discussion

It was previously shown that inflammation factors might contribute to mood disturbances in cardiovascular disease (CVD) patients (20, 31, 32). Nonetheless, the role of inflammation factors in anxiety symptoms identified in CSVD patients has not been described. Our study indicated that IL-8 or SAA levels in CSVD patients might be negatively correlated with the risk of anxiety symptoms. Furthermore, we found sex differences in the associations between anxiety symptoms and inflammation. However, potential biological mechanisms underlying the relationships between IL-8, SAA, and anxiety symptoms in CSVD patients remain unclear.

Research on serum levels of IL-8 in patients with mood disorders is limited and has yielded different results. Consistent with our findings, previous studies indicated that IL-8 levels were negatively correlated with anxiety symptom severity among suicide attempters displaying anxiety disorders (3335) or antidepressant drug-naïve patients with major depressive disorder (MDD) (36). Under physiologic conditions, inflammatory cytokines play an important role in neuroplasticity and neurogenesis (37). Previous studies have revealed that IL-8 has neuroprotective and neurotrophic properties (3840), such as IL-8 showed a protective effect on perinatal asphyxia brain injury (41). Mood disturbances in CSVD patients are associated with WMH, lacunar infarcts, and microbleeds (8). Our study indicated that decreased IL-8 levels were associated with an increased risk of anxiety symptoms. Therefore, we considered that IL-8 might play a neuroprotective effect in disrupting brain structures involved in anxiety regulation in CSVD patients.

Additionally, IL-8 can modulate neurotransmitter levels (42) and may be involved in the anxiety-related neuronal circuits, such as attenuating the serotonin and dopamine systems (33, 43). Therefore, we speculate that IL-8 may also involve the biological mechanisms regulating anxiety recovery in CSVD. Indeed, physiologic levels of inflammatory factors are necessary for many neurophysiological processes associated with the protection of mood disturbance (44). When IL-8 levels are too low, the physiological processes of homeostasis may be disrupted.

Accumulating evidence suggests that SAA has proinflammatory properties (4547). Nevertheless, some of the recent findings on SAA suggested that the primary role of SAA may be associated with homeostasis rather than proinflammatory (48). For example, studies have shown that SAA promotes the resolution of inflammation and tissue repair and regulates the homeostasis of the inflammatory process by inducing M2-like macrophages (49). Furthermore, several studies have found that systemic administration of SAA could not increase the production of proinflammatory cytokines (50, 51). The potential explanations for consideration might be that masses of reports on the proinflammatory effects of SAA were using recombinant human SAA (rhSAA) (45, 52, 53). Nevertheless, natural SAA from serum or plasma lacks most of the proinflammatory activity shown by rhSAA (51, 54, 55).

There are few direct clinical studies relating SAA to vascular diseases, and its essential biological role remains poorly understood. The levels of SAA in the blood of healthy individuals are generally below 3 mg/L (56). However, their levels can transiently spike 1000-fold 24 h after the onset of the acute-phase response (57) and then return to a low circulating baseline once the event resolves. The various functions ascribed to SAA are dose-dependent. Their role in inflammation can vary depending on the amount of cytokine expressed and the length of expression or the form of receptor activated by cytokine (55). A stable level of SAA is essential for most biological systems. Small increases in SAA levels may also be associated with the diagnosis or prognosis of a specific disease.

In our study, SAA levels did not show a 1000-fold increase, indicating low levels of peripheral inflammatory activity in the early stage of the CSVD. Compared with the lowest serum SAA levels in Q2 (2.5–3.09 mg/L), the Q4 (≥8.48 mg/L) group was associated with a decreased risk of anxiety symptoms (OR = 0.51, 95%CI: 0.26–0.98, p = 0.045), suggesting that significant but smaller increases of SAA levels may protect the patients against the early course of inflammation in CSVD. Additionally, previous studies have found that relatively low concentrations of SAA induce neutrophils to release IL-8 in a dose-dependent manner (46, 58). Thus, it could be hypothesized that IL-8 and SAA may both implicate the underlying pathophysiology of anxiety symptoms in the early stages of CSVD.

There is evidence that inflammatory profiles in mood disorders differ between females and males (30, 5961). Concerning gender differences, our study found that anxiety symptoms were associated with IL-8 levels (males only) and SAA levels (females only) in CSVD patients. It may be that estradiol increases the secretion of IL-8 in immature dendritic cells, while androgen is generally immunosuppressive (62). Similarly, previous observational studies found higher IL-8 levels associated with decreased depressive symptoms in males (29). In contrast to our findings, Kruse et al. have reported that IL-8 levels are negatively correlated with total HAMD score among females but not males in cross-sectional studies of depressed patients (63). These similar sex-specific effects were also found in electroconvulsive or ketamine therapy studies in depressed patients (64, 65). However, not all studies have been consistent, reflecting the between-study heterogeneity within the diagnostic categories of depression and anxiety or distinct study designs.

Conclusion

To sum up, various serum inflammatory factors and mechanisms are in place to maintain homeostasis, but dysregulation of their actions often contributes to diseases, including anxiety symptoms in CSVD patients. The underlying pathophysiology of IL-8 and SAA in CSVD with anxiety symptoms is complex and needs further investigation.

Limitations

This study is a single-center cross-sectional study based on a relatively small sample. We cannot clarify the causal relationship. A large cohort corroboration is required to explore whether inflammation is a precursor, consequence, or bidirectional relationship in CSVD patients with anxiety symptoms. Additionally, we examined circulating levels of inflammatory factors but did not assess inflammatory factor levels in the cerebrospinal fluid. Further clinical trials are needed to guide the detection of inflammatory factors in CSVD patients with anxiety symptoms.

Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics Statement

The studies involving human participants were reviewed and approved by Ethics Committee of Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine (Approval ID: 2020-060). The patients/participants provided their written informed consent to participate in this study.

Author Contributions

YH and M-YL designed the study. T-CQ and Y-FB collected data. L-LS and Y-LW analyzed the data and drafted this manuscript. Q-YL, Y-JH, CG, Z-DY, and Z-ZL were involved in the design and revision of the manuscript. All authors contributed to this article and approved the submitted version.

Funding

This study was supported, in part, by grants from the National Key Research and Development Program of China (No. 2019YFC1711603), the Major Clinical Study Projects of Shanghai Shenkang Hospital Development Center (No. SHDC2020CR2046B), and Shanghai Science and Technology Development Foundation (No. 19401972802).

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.

The reviewer DW declared a shared parent affiliation with the author Z–DY to the handling editor at the time of review.

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. Pantoni L. Cerebral small vessel disease: from pathogenesis and clinical characteristics to therapeutic challenges. Lancet Neurol. (2010) 9:689–701. doi: 10.1016/S1474-4422(10)70104-6

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Wardlaw JM, Smith EE, Biessels GJ, Cordonnier C, Fazekas F, Frayne R, et al. Neuroimaging standards for research into small vessel disease and its contribution to ageing and neurodegeneration. Lancet Neurol. (2013) 12:822–38. doi: 10.1016/S1474-4422(13)70124-8

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Pasi M, van Uden IW, Tuladhar AM, de Leeuw FE, Pantoni L. White matter microstructural damage on diffusion tensor imaging in cerebral small vessel disease: clinical consequences. Stroke. (2016)47:1679–84. doi: 10.1161/STROKEAHA.115.012065

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Li Q, Yang Y, Reis C, Tao T, Li W, Li X, et al. Cerebral small vessel disease. Cell Transplan. (2018) 27:1711–22. doi: 10.1177/0963689718795148

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Wardlaw JM, Smith C, Dichgans M. Small vessel disease: mechanisms and clinical implications. Lancet Neurol. (2019) 18:684–96. doi: 10.1016/S1474-4422(19)30079-1

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Castello JP, Pasi M, Kubiszewski P, Abramson JR, Charidimou A, Kourkoulis C, et al. Cerebral small vessel disease and depression among intracerebral hemorrhage survivors. Stroke. (2022) 53:523–31. doi: 10.1161/STROKEAHA.121.035488

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Zhang RT, Yu WK, Wu X, Jiaerken Y, Wang SY, Hong H, et al. Disentangling the pathologies linking white matter hyperintensity and geriatric depressive symptoms in subjects with different degrees of vascular impairment. J Affective Disord. (2021) 282:1005–10. doi: 10.1016/j.jad.2020.12.171

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Direk N, Perez HS, Akoudad S, Verhaaren BF, Niessen WJ, Hofman A, et al. Markers of cerebral small vessel disease and severity of depression in the general population. Psychiatry Res Neuroimaging. (2016) 253:1–6. doi: 10.1016/j.pscychresns.2016.05.002

PubMed Abstract | CrossRef Full Text | Google Scholar

9. van Sloten TT, Sigurdsson S, van Buchem MA, Phillips CL, Jonsson PV, Ding J, et al. Cerebral Small vessel disease and association with higher incidence of depressive symptoms in a general elderly population: the AGES-Reykjavik Study. Am J Psychiatry. (2015) 172:570–8. doi: 10.1176/appi.ajp.2014.14050578

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Fang Y, Qin T, Liu W, Ran L, Yang Y, Huang H, et al. Cerebral small-vessel disease and risk of incidence of depression: a meta-analysis of longitudinal cohort studies. J Am Heart Assoc. (2020) 9:e016512. doi: 10.1161/JAHA.120.016512

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Rensma SP, van Sloten TT, Launer LJ, Stehouwer CDA. Cerebral small vessel disease and risk of incident stroke, dementia and depression, and all-cause mortality: a systematic review and meta-analysis. Neurosci Biobehav Rev. (2018) 90:164–73. doi: 10.1016/j.neubiorev.2018.04.003

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Taylor WD, Aizenstein HJ, Alexopoulos GS. The vascular depression hypothesis: mechanisms linking vascular disease with depression. Mol Psychiatry. (2013) 18:963–74. doi: 10.1038/mp.2013.20

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Clancy U, Gilmartin D, Jochems ACC, Knox L, Doubal FN, Wardlaw JM. Neuropsychiatric symptoms associated with cerebral small vessel disease: a systematic review and meta-analysis. Lancet Psychiatry. (2021) 8:225–36. doi: 10.1016/S2215-0366(20)30431-4

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Low A, Mak E, Rowe JB, Markus HS, O'Brien JT. Inflammation and cerebral small vessel disease: a systematic review. Ageing Res Rev. (2019) 53:100916. doi: 10.1016/j.arr.2019.100916

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Fu Y, Yan YP. Emerging Role of Immunity in Cerebral Small Vessel Disease. Front Immunol. (2018) 9:67. doi: 10.3389/fimmu.2018.00067

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Beurel E, Toups M, Nemeroff CB. The bidirectional relationship of depression and inflammation: double trouble. Neuron. (2020) 107:234–56. doi: 10.1016/j.neuron.2020.06.002

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Miller AH, Raison CL. The role of inflammation in depression: from evolutionary imperative to modern treatment target. Nat Rev Immunol. (2016)16:22–34. doi: 10.1038/nri.2015.5

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Makhija K, Karunakaran S. The role of inflammatory cytokines on the aetiopathogenesis of depression. Aust N Z J Psychiatry. (2013) 47:828–39. doi: 10.1177/0004867413488220

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Łoś K, Waszkiewicz N. Biological markers in anxiety disorders. J Clin Med. (2021) 10:008174. doi: 10.3390/jcm10081744

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Vassou C, Chrysohoou C, Skoumas J, Georgousopoulou EN, Yannakoulia M, Pitsavos C, et al. Irrational beliefs, depression and anxiety, in relation to 10-year cardiovascular disease risk: the ATTICA Epidemiological Study. Anxiety Stress Coping. (2022) 7:1–15. doi: 10.1080/10615806.2022.2062331

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Gaspersz R, Lamers F, Wittenberg G, Beekman ATF, van Hemert AM, Schoevers RA, et al. The role of anxious distress in immune dysregulation in patients with major depressive disorder. Transl Psychiatry. (2017) 7:1268. doi: 10.1038/s41398-017-0016-3

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Capuron L, Miller AH. Immune system to brain signaling: neuropsychopharmacological implications. Pharmacol Ther. (2011) 130:226–38. doi: 10.1016/j.pharmthera.2011.01.014

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Vogelzangs N, Beekman ATF, de Jonge P, Penninx B. Anxiety disorders and inflammation in a large adult cohort. Transl Psychiatry. (2013) 3:e249. doi: 10.1038/tp.2013.27

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Naudé PJW, Roest AM, Stein DJ, de Jonge P, Doornbos B. Anxiety disorders and CRP in a population cohort study with 54,326 participants: The LifeLines study. World J Biol Psychiatry. (2018) 19:461–70. doi: 10.1080/15622975.2018.1433325

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Tang Z, Ye G, Chen X, Pan M, Fu J, Fu T, et al. Peripheral proinflammatory cytokines in Chinese patients with generalised anxiety disorder. J Affect Disord. (2018) 225:593–8. doi: 10.1016/j.jad.2017.08.082

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Hou R, Garner M, Holmes C, Osmond C, Teeling J, Lau L, et al. Peripheral inflammatory cytokines and immune balance in Generalised Anxiety Disorder: Case-controlled study. Brain Behav Immun. (2017) 62:212–8. doi: 10.1016/j.bbi.2017.01.021

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Doubal FN, MacLullich AM, Ferguson KJ, Dennis MS, Wardlaw JM. Enlarged perivascular spaces on MRI are a feature of cerebral small vessel disease. Stroke. (2010) 41:450–4. doi: 10.1161/STROKEAHA.109.564914

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Hamilton M. The assessment of anxiety states by rating. Br J Med Psychol. (1959) 32:50–5. doi: 10.1111/j.2044-8341.1959.tb00467.x

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Moriarity DP, Giollabhui NM, Ellman LM, Klugman J, Coe CL, Abramson LY, et al. inflammatory proteins predict change in depressive symptoms in male and female adolescents. Clin Psychol Sci. (2019) 7:754–67. doi: 10.1177/2167702619826586

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Moieni M, Tan KM, Inagaki TK, Muscatell KA, Dutcher JM, Jevtic I, et al. Sex differences in the relationship between inflammation and reward sensitivity: a randomized controlled trial of endotoxin. Biol Psychiatry Cogn Neurosci Neuroimaging. (2019) 4:619–26. doi: 10.1016/j.bpsc.2019.03.010

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Key KV, Mudd-Martin G, Moser DK, Rayens MK, Morford LA. Inflammatory genotype moderates the association between anxiety and systemic inflammation in adults at risk for cardiovascular disease. J Cardiovasc Nurs. (2022) 37:64–72. doi: 10.1097/JCN.0000000000000742

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Bankier B, Barajas J, Martinez-Rumayor A, Januzzi JL. Association between C-reactive protein and generalized anxiety disorder in stable coronary heart disease patients. Eur Heart J. (2008) 29:2212–7. doi: 10.1093/eurheartj/ehn326

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Janelidze S, Suchankova P, Ekman A, Erhardt S, Sellgren C, Samuelsson M, et al. Low IL-8 is associated with anxiety in suicidal patients: genetic variation and decreased protein levels. Acta Psychiatr Scand. (2015) 131:269–78. doi: 10.1111/acps.12339

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Isung J, Aeinehband S, Mobarrez F, Martensson B, Nordstrom P, Asberg M, et al. Low vascular endothelial growth factor and interleukin-8 in cerebrospinal fluid of suicide attempters. Transl Psychiatry. (2012) 2:e196. doi: 10.1038/tp.2012.123

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Keaton SA, Madaj ZB, Heilman P, Smart L, Grit J, Gibbons R, et al. An inflammatory profile linked to increased suicide risk. J Affective Disord. (2019) 247:57–65. doi: 10.1016/j.jad.2018.12.100

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Zou W, Feng RJ, Yang Y. Changes in the serum levels of inflammatory cytokines in antidepressant drug-naive patients with major depression. Plos ONE. (2018)13:197267. doi: 10.1371/journal.pone.0197267

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Yirmiya R, Goshen I. Immune modulation of learning, memory, neural plasticity and neurogenesis. Brain Behav Immun. (2011) 25:181–213. doi: 10.1016/j.bbi.2010.10.015

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Puma C, Danik M, Quirion R, Ramon F, Williams S. The chemokine interleukin-8 acutely reduces Ca2+ currents in identified cholinergic septal neurons expressing CXCR1 and CXCR2 receptor mRNAs. J Neurochem. (2001) 78:960–71. doi: 10.1046/j.1471-4159.2001.00469.x

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Saas P, Walker PR, Quiquerez AL, Chalmers DE, Arrighi JF, Lienard A, et al. A self-defence mechanism of astrocytes against Fas-mediated death involving interleukin-8 and CXCR2. Neuroreport. (2002) 13:1921–4. doi: 10.1097/00001756-200210280-00018

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Araujo DM, Cotman CW. Trophic effects of interleukin-4,−7 and−8 on hippocampal neuronal cultures: potential involvement of glial-derived factors. Brain Res. (1993) 600:49–55. doi: 10.1016/0006-8993(93)90400-H

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Hussein MH, Daoud GA, Kakita H, Kato S, Goto T, Kamei M, et al. High cerebrospinal fluid antioxidants and interleukin 8 are protective of hypoxic brain damage in newborns. Free Radical Research. (2010)44:422–9. doi: 10.3109/10715760903548245

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Stuart MJ, Singhal G, Baune BT. Systematic review of the neurobiological relevance of chemokines to psychiatric disorders. Front Cell Neurosci. (2015) 9:e357. doi: 10.3389/fncel.2015.00357

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Guyon A, Skrzydelski D, De Giry I, Rovere C, Conductier G, Trocello JM, et al. Long term exposure to the chemokine CCL2 activates the nigrostriatal dopamine system: a novel mechanism for the control of dopamine release. Neuroscience. (2009) 162:1072–80. doi: 10.1016/j.neuroscience.2009.05.048

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Raison CL, Rutherford RE, Woolwine BJ, Shuo C, Schettler P, Drake DF, et al. A randomized controlled trial of the tumor necrosis factor antagonist infliximab for treatment-resistant depression: the role of baseline inflammatory biomarkers. JAMA Psychiatry. (2013) 70:31–41. doi: 10.1001/2013.jamapsychiatry.4

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Furlaneto CJ, Campa A. A novel function of serum amyloid A: a potent stimulus for the release of tumor necrosis factor-alpha, interleukin-1 beta, and interleukin-8 by human blood neutrophil. Biochem Biophys Res Commun. (2000) 268:405–8. doi: 10.1006/bbrc.2000.2143

PubMed Abstract | CrossRef Full Text | Google Scholar

46. He R, Sang HR, Ye RD. Serum amyloid A induces IL-8 secretion through a G protein-coupled receptor, FPRL1/LXA4R. Blood. (2003) 101:1572–81. doi: 10.1182/blood-2002-05-1431

PubMed Abstract | CrossRef Full Text | Google Scholar

47. De Buck M, Gouwy M, Wang JM, Van Snick J, Proost P, Struyf S, et al. The cytokine-serum amyloid A-chemokine network. Cytokine Growth Factor Rev. (2016) 30:55–69. doi: 10.1016/j.cytogfr.2015.12.010

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Ye RD, Sun L. Emerging functions of serum amyloid A in inflammation. J Leukocyte Biol. (2015) 98:923–9. doi: 10.1189/jlb.3VMR0315-080R

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Sun L, Zhou HB, Zhu ZY, Yan Q, Wang LL, Liang Q, et al. Ex vivo and in vitro effect of serum amyloid A in the induction of macrophage M2 markers and efferocytosis of apoptotic neutrophils. J Immunol. (2015) 194:4891–900. doi: 10.4049/jimmunol.1402164

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Kim M-H, de Beer MC, Wroblewski JM, Webb NR, de Beer FC. SAA does not induce cytokine production in physiological conditions. Cytokine. (2013) 61:506–12. doi: 10.1016/j.cyto.2012.10.019

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Christenson K, Björkman L, Ahlin S, Olsson M, Sjöholm K, Karlsson A, et al. Endogenous acute phase serum amyloid a lacks pro-inflammatory activity, contrasting the two recombinant variants that activate human neutrophils through different receptors. Front Immunol. (2013) 4:92. doi: 10.3389/fimmu.2013.00092

PubMed Abstract | CrossRef Full Text | Google Scholar

52. He RL, Zhou J, Hanson CZ, Chen J, Cheng N, Ye RD. Serum amyloid A induces G-CSF expression and neutrophilia via Toll-like receptor 2. Blood. (2009)113:429–37. doi: 10.1182/blood-2008-03-139923

PubMed Abstract | CrossRef Full Text | Google Scholar

53. Cai H, Song C, Endoh I, Goyette J, Jessup W, Freedman SB, et al. Serum amyloid A induces monocyte tissue factor. J Immunol. (2007) 178:1852–60. doi: 10.4049/jimmunol.178.3.1852

PubMed Abstract | CrossRef Full Text | Google Scholar

54. Björkman L, Raynes JG, Shah C, Karlsson A, Dahlgren C, Bylund J. The proinflammatory activity of recombinant serum amyloid A is not shared by the endogenous protein in the circulation. Arthritis Rheum. (2010) 62:1660–5. doi: 10.1002/art.27440

PubMed Abstract | CrossRef Full Text | Google Scholar

55. De Buck M, Gouwy M, Wang JM, Van Snick J, Opdenakker G, Struyf S, et al. Structure and Expression of Different Serum Amyloid A (SAA) variants and their concentration-dependent functions during host insults. Curr Med Chem. (2016) 23:1725–55. doi: 10.2174/0929867323666160418114600

PubMed Abstract | CrossRef Full Text | Google Scholar

56. Hosman IS, Kos I, Lamot L. Serum amyloid A in inflammatory rheumatic diseases: a compendious review of a renowned biomarker. Front Immunol. (2021) 11:631299. doi: 10.3389/fimmu.2020.631299

PubMed Abstract | CrossRef Full Text | Google Scholar

57. Sack GH. Serum amyloid A - a review. Mol Med. (2018) 24:46. doi: 10.1186/s10020-018-0047-0

PubMed Abstract | CrossRef Full Text | Google Scholar

58. Ribeiro FP, Furlaneto CJ, Hatanaka E, Ribeiro WB, Souza GM, Cassatella MA, et al. mRNA expression and release of interleukin-8 induced by serum amyloid A in neutrophils and monocytes. Mediators Inflamm. (2003) 12:173–8. doi: 10.1080/0962935031000134897

PubMed Abstract | CrossRef Full Text | Google Scholar

59. Labonté B, Engmann O, Purushothaman I, Menard C, Wang JS, Tan CF, et al. Sex-specific transcriptional signatures in human depression. Nat Med. (2017) 23:1102–11. doi: 10.1038/nm.4386

PubMed Abstract | CrossRef Full Text | Google Scholar

60. Rainville JR, Hodes GE. Inflaming sex differences in mood disorders. Neuropsychopharmacology. (2019) 44:184–99. doi: 10.1038/s41386-018-0124-7

PubMed Abstract | CrossRef Full Text | Google Scholar

61. Bangasser DA, Valentino RJ. Sex differences in stress-related psychiatric disorders: Neurobiological perspectives. Front Neuroendocrinol. (2014) 35:303–19. doi: 10.1016/j.yfrne.2014.03.008

PubMed Abstract | CrossRef Full Text | Google Scholar

62. Bengtsson AK, Ryan EJ, Giordano D, Magaletti DM, Clark EA. 17 beta-estradiol (E-2) modulates cytokine and chemokine expression in human monocyte-derived dendritic cells. Blood. (2004) 104:1404–10. doi: 10.1182/blood-2003-10-3380

PubMed Abstract | CrossRef Full Text | Google Scholar

63. Kruse JL, Olmstead R, Hellemann G, Breen EC, Tye SJ, Brooks JO, et al. Interleukin-8 and lower severity of depression in females, but not males, with treatment-resistant depression. J Psychiatr Res. (2021) 140:350–6. doi: 10.1016/j.jpsychires.2021.06.009

PubMed Abstract | CrossRef Full Text | Google Scholar

64. Kruse JL, Olmstead R, Hellemann G, Wade B, Jiang J, Vasavada MM, et al. Inflammation and depression treatment response to electroconvulsive therapy: Sex-specific role of interleukin-8. Brain Behav Immun. (2020) 89:59–66. doi: 10.1016/j.bbi.2020.05.069

PubMed Abstract | CrossRef Full Text | Google Scholar

65. Kruse JL, Vasavada MM, Olmstead R, Hellemann G, Wade B, Breen EC, et al. Depression treatment response to ketamine: sex-specific role of interleukin-8, but not other inflammatory markers. Transl Psychiatry. (2021) 11:167. doi: 10.1038/s41398-021-01268-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: cerebral small vessel disease, anxiety symptoms, inflammatory factors, SAA, IL-8

Citation: Shan L-L, Wang Y-L, Qiao T-C, Bian Y-F, Huo Y-J, Guo C, Liu Q-Y, Yang Z-D, Li Z-Z, Liu M-Y and Han Y (2022) Association of Serum Interleukin-8 and Serum Amyloid A With Anxiety Symptoms in Patients With Cerebral Small Vessel Disease. Front. Neurol. 13:938655. doi: 10.3389/fneur.2022.938655

Received: 07 May 2022; Accepted: 15 June 2022;
Published: 08 July 2022.

Edited by:

Yuzhen Xu, Tongji University, China

Reviewed by:

Danhong Wu, Fudan University, China
Xiang Han, Fudan University, China

Copyright © 2022 Shan, Wang, Qiao, Bian, Huo, Guo, Liu, Yang, Li, Liu and Han. 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: Yan Han, aGFueWFuJiN4MDAwNDA7c2h1dGNtLmVkdS5jbg==; orcid.org/0000-0002-7654-0906; Ming-Yuan Liu, bGl1Lm1pbmd5dWFuJiN4MDAwNDA7Zm94bWFpbC5jb20=

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.