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Homocysteine is related to enlarged perivascular spaces in the brainstem in patients with isolated pontine infarction

BMC Neurology volume 22, Article number: 296 (2022) Cite this article

Abstract

Background

Homocysteine is correlated with several imaging features of cerebral small vessel disease including white matter hyperintensities, lacunes, and enlarged perivascular spaces (EPVS) in the basal ganglia. However, little is known about EPVS in the brainstem. This study aimed to investigate the correlation between serum total homocysteine (tHcy) and EPVS in the brainstem in patients with acute isolated pontine infarction.

Methods

Consecutive patients with isolated pontine infarction were retrospectively enrolled. Clinical characteristics and laboratory tests including tHcy were recorded. Imaging markers of cerebral small vessel disease including EPVS in the basal ganglia (BG-EPVS), EPVS in the centrum semiovale, and EPVS in the midbrain or pons (brainstem-EPVS) were assessed using conventional magnetic resonance imaging. The relation between tHcy and EPVS of different parts in the brain was analyzed using univariate and multivariate regression model.

Results

A total of 227 patients were included (mean age 67.10 ± 9.38 years, male sex 58.6%). The frequencies of brainstem-EPVS and moderate to severe BG-EPVS accounted for 40.1% (91/227) and 40.5% (92/227) respectively. After controlling for confounding factors, multivariate logistic regression analyses showed that tHcy was an independent risk factor for both moderate to severe BG-EPVS (P = 0.003, P for trend < 0.001) and the presence of brainstem-EPVS (P < 0.001, P for trend < 0.001) in a dose-dependent manner. Furthermore, multivariate linear regression model indicated that the presence of brainstem-EPVS (β = 0.264, 95% confidence interval = 0.143-0.402, P < 0.001) and the severity of BG-EPVS (β = 0.162, 95% confidence interval = 0.024-0.197, P = 0.013) were positively associated with serum tHcy.

Conclusions

Serum tHcy is correlated with brainstem-EPVS and BG-EPVS dose-dependently. This study may support a contributing role for homocysteine in the pathophysiology of EPVS in the brainstem and the basal ganglia.

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Background

Homocysteine is a sulfur-containing intermediate amino acid resulting from the process of methionine metabolism [1]. Increased serum total homocysteine (tHcy) concentrations, contributing to endothelial dysfunction, have long been recognized as a risk factor for cardiovascular disease, ischemic stroke, and cognitive impairment [1,2,3,4]. While previous studies provided sufficient evidence on the causal relation between tHcy and atherosclerosis in experimental animals and ischemic stroke patients [4,5,6], relatively less attention has been paid to the link between tHcy and cerebral small vessel disease [7], the pathogenesis of which also involves impaired endothelial function [8].

Cerebral small vessel disease (cSVD), affecting the perforating arterioles, venules, and capillaries of the brain [9], is a complex syndrome defined by heterogeneous clinical, neuroimaging and pathological features. Although the disease is very common among the ageing population and causes extensive physical and psychological damage [8], the exact pathogenesis has not been fully elucidated [10]. Imaging features of cSVD seen on magnetic resonance imaging (MRI) mainly include white matter hyperintensities (WMH), recent small subcortical infarcts, lacunes of presumed vascular origin, cerebral microbleeds, enlarged perivascular spaces (EPVS), and brain atrophy [11].

Previous researches have focused on the correlation between serum tHcy and some components of cSVD (WMH, lacunes, cerebral microbleeds and EPVS in the basal ganglia in particular) [4, 12,13,14,15,16], indicating a potential role of homocysteine in the cSVD-related brain lesions. A newly published population-based Mendelian randomization study demonstrates that tHcy level is related to brain volume loss and lacunes [17]. A recent meta-analysis also supports the association of tHcy with cSVD subtypes, including WMH, silent brain infarction, and lacunar infarction [18]. However, little attention has been given to EPVS in the midbrain and pons. Whether homocysteine contributes to the pathogenesis of EPVS in the brainstem remains unknown and a relatively homogeneous population is needed to conduct further investigation.

Isolated pontine infarction (IPI) is a very common type of ischemic stroke in the brainstem [19] and EPVS in the midbrain or pons are often found in IPI patients in clinical practice, sometimes easily confused with lacunes. However, the pathogenesis and clinical implication of EPVS in the brainstem remains unclear. Therefore, this study aimed to investigate the association between serum tHcy level and EPVS in the brainstem in IPI patients, in the attempt to shed some light on the underlying pathological mechanism of EPVS in the brainstem.

Methods

Patients and population

Consecutive patients with acute isolated pontine infarction between January 2017 and December 2020 were retrospectively reviewed, and enrolled from a prospectively maintained stroke registry based on the neurology department of Changzhou No.2 People's Hospital (n = 278). Patients were included in the study if they met the following criteria: (a) age ≥ 18 years, (b) hospital admission within seven days after symptom onset, and (c) isolated pontine ischemic lesion confirmed by diffusion-weighted imaging (DWI) without extra-pontine area affected [20]. We excluded patients who did not undergo magnetic resonance angiography (MRA) or computed tomographic angiography (CTA) (n = 38). Patients with brain tumors (n = 2) and histories of brain trauma (n = 2) were excluded. Besides, according to Trial of Org 10172 in Acute Stroke Treatment (TOAST) criteria [21], infarctions probably originated from cardioembolism and other determined or undetermined cause were also excluded (n = 9). Finally, a total of 227 participants were included into the study. Approval of the study protocol was granted from the Research Ethics Committee of our hospital (ethical approval number: 2017KY015-01). Informed consent was waived because patient data were de-identified in this observational and retrospective study.

Clinical assessment and measurement of tHcy concentration

Demographics were recorded and clinical data were extensively evaluated, including age, sex, Body Mass Index, history of ischemic stroke or transient ischemic attack (TIA) or coronary heart disease, and risk factors for ischemic stroke (hypertension, diabetes mellitus, hyperlipidemia, current smoking, alcohol use). Systolic and diastolic blood pressure on admission was recorded. Neurological deficits were assessed by National Institute of Health Stroke Scale (NIHSS) [22] on admission and at discharge.

To measure serum tHcy levels, 4-milliliter whole venous blood samples were collected in the heparin anticoagulant tubes (HengYuan Biological Technology Co., Ltd, Shanghai, China). Serum was separated by centrifugation at 4000r/min for 5 min (Eppendorf AG, Hamburg, Germany). The serum tHcy levels were determined using the ADVIA2400 automated biochemical analyzer (Siemens AG, Munich, Germany) with a standard protocol. Other laboratory tests included fasting plasma glucose (FPG), glycosylated hemoglobin (HbA1c), serum lipids (triglycerides, total cholesterol, low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C)), hemoglobin, fibrinogen, uric acid, creatinine, and estimated creatinine clearance (CCrE) by the Cockcroft-Gault formula [23].

IPI classification

IPI patients were categorized into two groups: paramedian pontine infarction (PPI) and small deep pontine infarction (SDPI), i.e., lacunar pontine infarction, based on lesion location and shape [19]. PPI was considered if the infarction area extended to the surface of the pontine base. SDPI was presumed if a pontine infarct did not reach the basal surface of the pons on MRI. Concerning the underlying etiology, basilar artery atherosclerosis may be a primary cause of PPI, and small vessel disease may play a major role in SDPI [24]. Examples of IPI are given in Fig. 1.

Fig. 1
figure 1

Examples of Isolated pontine infarctions. (A) PPI. DWI showed an infarction extending to the surface of the pons with CTA showing ≥50% stenosis in the basilar artery. (B) PPI. DWI showed an infarction reaching the pontine surface with irregularities of the basilar artery wall seen on CTA. (C) SDPI. DWI showed a lacunar infarction not reaching the basal surface of the pons without vertebrobasilar artery stenosis seen on CTA

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Imaging acquisition and EPVS evaluation

All the participants underwent a 1.5-tesla magnetic resonance scanning (Achieva, Philips Medical Systems, the Netherlands) using a routine clinical brain MRI protocol. Imaging sequences and parameters were as follows: T1-weighted images (T1WI, repetition time [TR] / echo time [TE] = 263.3/6.4 milliseconds [ms], slice thickness = 5.5mm); T2-weighted images (T2WI, TR/TE = 3,592.5/100 ms, slice thickness = 5.5mm); T2 fluid-attenuated inversion recovery images (T2FLAIR, TR/TE = 4,506.7/120 ms, slice thickness = 5.5mm); diffusion weighted imaging (DWI, TR/TE = 3,002.2/75.1 ms, slice thickness=6.6 mm). Three-dimensional contrast-enhanced MRA was performed for 50 patients (TR/TE = 5.6/1.9 ms, slice thickness = 1.4 mm). CTA was performed for the other 177 patients with dual-source CT system (SOMATOM Definition Flash, Siemens, Forchheim, Germany).

Imaging markers of cSVD on MRI were under careful assessment by two experienced neurologists (MZ, ZXZ) who were blinded to patients’ clinical data. Any disagreement between the two observers was settled by discussion with another senior neurologist (WWY). We defined enlarged perivascular spaces (EPVS) as < 3mm round or linear lesions surrounding perforating vessels with a CSF-like signal intensity (T1/FLAIR-hypointense and T2-hyperintense). Typical brain regions of EPVS include the basal ganglia (BG), the centrum semiovale (CSO), the midbrain, and the pons. BG-EPVS and CSO-EPVS were rated respectively with a validated visual scale from 0 to 4 based on the hemispherical slice showing the greatest numbers of EPVS (0 = none, 1 = 1-10, 2 = 11-20, 3 = 21-40, and 4 = > 40) [25]. We considered the severity of EPVS as moderate to severe when the score ranged from 2-4 in BG or CSO. Brainstem-EPVS, combining EPVS in the midbrain and the pons, were scored 0 (none visible) or 1 (visible) [25]. Inter and intra rater reliability for the evaluation of EPVS, using 50 randomly selected scans, was estimated by Kappa test, which showed good agreement (Brainstem-EPVS: κ = 0.72 & 0.76; BG-EPVS: κ = 0.82 & 0.88; CSO-EPVS: κ = 0. 79 & 0.85). The presence of lacunes was recorded and carefully distinguished from EPVS. Lacunes of presumed vascular origin [11], having a round or ovoid shape, filled with CSF-like fluid, were located in the territory of perforating arterioles. Lacunes generally measure 3-15mm in diameter on T1WI or T2WI sequences, with perilesional hyperintense rims on FLAIR sequences. WMH present as bilateral hyperintensities in periventricular and deep white matter on T2WI or FLAIR sequences and WMH grade was assessed with the Fazekas scale [26]. Moderate to severe WMH was defined when the total score ranged from 3 to 6. (Fig. 2)

Fig. 2
figure 2

Imaging features of cSVD in IPI patients. (a-d) T2 and FLAIR axial images were from a female patient aged 74 years. (a-b) Moderate WMH with a Fazekas score of 3. (c-d) One lacune of presumed vascular origin located in the left subcortical area (orange arrows). (e-f) T2 axial and sagittal images were from a female patient aged 73 years, showing moderate to severe BG-EPVS with a visual score of 3 (red arrows). (g-h) T2 and T1 axial images were from a 69-year-old female patient, showing moderate to severe CSO-EPVS with a visual score of 3. (i-j) T2 axial and sagittal images were from a 64-year-old male patient, showing brainstem-EPVS in the left medial pons (green arrows). (k-l) T2 and FLAIR axial images were from a male patient aged 61 years, showing brainstem-EPVS in the left lateral midbrain (blue arrow)

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Statistical analysis

Quantitative data were tested for normal distribution with the Shapiro-Wilk test. Normally distributed continuous variables were expressed as mean ± standard deviation, and those with skewed distribution were presented as median (interquartile range). Categorical variables were summarized as numbers (percentages). Patients were dichotomized into the lower and higher tHcy groups based on the median value of serum tHcy concentrations. To compare the characteristics between the two groups, Student’s t-test or Mann-Whitney U test was used for continuous data and χ2 tests or Fisher’s exact tests were used for categorical ones where appropriate. We applied binary logistic regression model to identify risk factors for moderate to severe BG-EPVS, CSO-EPVS and the presence of brainstem-EPVS. Simple and multiple linear regression analyses were conducted to assess the association between serum tHcy and underlying factors, in which tHcy levels were ln-transformed due to non-normal distribution. Parameters with a P value < 0.05 in univariate analyses were finally included in the multivariate logistic and linear regression analyses. According to the variance inflation factor (VIF), the multicollinearity test indicated that no evidence of collinearity existed among the independent variables (the mean VIF = 1.988, the maximum VIF = 3.779, and the minimum VIF = 1.210). Additional multivariate logistic regression analysis was performed to investigate detailed information regarding the association between serum tHcy quartiles and BG-EPVS severity or the presence of brainstem-EPVS. The P value for trend across the quartiles of tHcy was also determined in the process. All statistical analyses were carried out using SPSS, version 22.0 (IBM Corp., Armonk, NY). Two- sided P values < 0.05 were considered statistically significant.

Results

Demographic and clinical characteristics of participants

A total of 227 IPI patients were enrolled in this study (mean age 67.10 ± 9.38 years, male sex 58.6%). The frequency of brainstem-EPVS was 40.1% (91/227), including the pons 18.5% (42/227), midbrain 15.4% (35/227), and both the pons and midbrain 6.2% (14/227). The frequency of moderate to severe BG-EPVS was 40.5% (92/227). The rate of moderate to severe WMH was also 40.1% (91/227). The presence of lacunes accounted for a higher rate, which was 55.9% (127/227). The median level of serum tHcy was 12.46 (9.49, 17.40) μmol/L.

The baseline characteristics of the lower and higher tHcy groups classified according to the median level are displayed in Table 1. Patients with higher serum tHcy had a higher rate of current smoking, moderate to severe BG-EPVS, brainstem-EPVS, and higher levels of uric acid than patients with lower tHcy level (all P <0.05). No significant difference in other risk factors for stroke, NIHSS score, IPI classification, moderate to severe WMH or CSO-EPVS, and the presence of lacunes was found between the two groups.

Table 1 Demographics and baseline characteristics between lower and higher tHcy groups
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EPVS of different locations in the brain and possible risk factors

In univariate and multivariate logistic regression analyses (Tables 2-3), tHcy (adjusted odds ratio [aOR] = 1.048, 95% confidence interval [CI] = 1.016-1.082, P = 0.003) and WMH grade (aOR = 1.380, 95% CI = 1.103-1.727, P = 0.005) were independent risk factors for moderate to severe BG-EPVS. However, no underlying factors showed correlation with CSO-EPVS. Ischemic stroke or TIA history (aOR = 2.874, 95% CI = 1.402-5.891, P = 0.004) and tHcy (aOR = 1.099, 95% CI = 1.051-1.149, P < 0.001) remained influencing factors for brainstem-EPVS. Moreover, higher quartile of tHcy was significantly associated with moderate to severe BG-EPVS and the presence of brainstem-EPVS dose-dependently after adjusting for confounding factors (both P value for trend < 0.001). As shown in Table 4, compared to the lowest quartile of tHcy, the top tHcy quartile was significantly associated with increased frequency of moderate to severe BG-EPVS (aOR = 5.437, 95% CI = 2.188-13.511, P < 0.001) and the presence of brainstem-EPVS (aOR = 8.949, 95% CI = 3.544-22.592, P < 0.001).

Table 2 Univariable logistic regression analyses between possible factors and EPVS of three locations in the brain
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Table 3 Multivariable logistic regression analyses between possible factors and BG-/brainstem-EPVS
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Table 4 The association between serum tHcy and BG-/brainstem-EPVS
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Serum tHcy and EPVS in the brainstem

To further elucidate the relationship between tHcy and EPVS of different parts in the brain, we transformed tHcy into a natural logarithmic scale and performed univariable and multivariable linear regression analyses. In simple linear regression model, the presence of brainstem-EPVS was positively associated with serum tHcy (standardized β = 0.367, 95% CI = 0.253-0.506, P < 0.001). In multiple linear regression model, Table 5 demonstrated that the presence of brainstem-EPVS (standardized β = 0.264, 95% CI = 0.143-0.402, P < 0.001), the severity of BG-EPVS (standardized β = 0.162, 95% CI = 0.024-0.197, P = 0.013), and current smoking (standardized β = 0.170, 95% CI = 0.025-0.333, P = 0.023) were positively correlated with serum tHcy, adjusting for sex, age, and all the confounding factors identified in the univariate linear regression model.

Table 5 Multivariable linear regression full model for tHcy c, d
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Discussion

In this study, we found that serum tHcy concentration was related to EPVS in the brainstem in patients with acute isolated pontine infarction. Multivariable logistic analyses showed that tHcy was an independent risk factor for both the presence of brainstem-EPVS and moderate to severe BG-EPVS in a dose-dependent manner. Moreover, based on the results of simple and multiple linear regression analyses, it is estimated that about 28.1% of the association between brainstem-EPVS and tHcy levels was explained by other influencing factors mainly including the coexistence of BG-EPVS. ((0.367-0.264) / 0.367 ≈ 28.1%)

In our study, higher percentage of participants with moderate to severe BG-EPVS or the presence of brainstem-EPVS was identified in the higher tHcy group (≥12.46μmol/L). Although the underlying mechanisms of EPVS remain unclear, our study may provide evidence that tHcy contributes to the development of brainstem-EPVS and increased burden of BG-EPVS visible on conventional MRI scans. Abnormal elevation of serum tHcy concentration, generally over 15μmol/L, is defined as hyperhomocysteinemia [27], which is caused or influenced by various factors including genetic variation, nutritional deficiency, and certain kinds of metabolic disorders or drugs [28]. Accumulating experimental and clinical evidence demonstrates that hyperhomocysteinemia induces endothelial dysfunction, triggers oxidative stress, and precipitates neuroinflammation [7, 29,30,31]. Thus, through the complicated homocysteine-mediated damaging process, one of the major consequences is blood- brain barrier (BBB) impairment [32]. More specifically, a possible explanation of the positive link between tHcy and the development of EPVS in the brain is as follows. Elevation of serum tHcy not only inhibits the normal functioning of BBB, but also destroys its structural composition [33, 34], resulting in excessive fluid in the perivascular spaces and interfering with the glymphatic system while clearing interstitial fluid [35, 36].

Recent clinical studies have found that tHcy level is related to BG-EPVS [15, 16], but not to CSO-EPVS [16], suggesting that EPVS at different sites might have different pathogenesis. Consistent with previous researches, there was no association of the severity of CSO-EPVS with serum tHcy and other vascular risk factors in our study. Studies in rodents and humans have also confirmed that CSO-EPVS and BG-EPVS differ in anatomical structures. The basal perivascular spaces, directly communicating with the subarachnoid space, are between two layers of leptomeninges which surround perforating arterioles in the basal ganglia [37]. In contrary, cortical arterioles and all venules are invested only by one layer of pia mater, and the cortical perivascular spaces are thought to connect to subpial space [38]. Whether CSO-EPVS communicating with subarachnoid space or not is still controversial [39]. In terms of draining interstitial fluid that is formed during the fluid exchange process at the BBB [40] and that contains waste products from metabolic activities in the brain, it remains unclear whether the basal and cortical perivascular spaces differ in the precise mechanism or specific fluid drainage pathways [35].

To date, the pathogenesis of EPVS in the midbrain and the pons is not elucidated. In our study, elevated serum tHcy level was a shared influencing factor for the presence of brainstem-EPVS and the severity of BG-EPVS. Thus, we propose a speculation that the formation of EPVS in the brainstem may share some common mechanism with that of EPVS in the basal ganglia and that higher levels of serum tHcy might be involved in the pathogenesis of both brainstem-EPVS and BG-EPVS. From an anatomical point of view, the blood supplies for both the brainstem and the basal ganglia arise from perforating arteries in the posterior or anterior circulation. The classical theory considers these perforators as end-vessels and the pathophysiology of small vessel disease is related to small perforating arteries and arterioles in the brain [41]. Based on the vascular pathologies of these perforators that manifest as thickening of the media [42], on the one hand, the brainstem would develop ischemic lesions. On the other hand, elevated concentration of tHcy might be involved in the process of endothelial injury and BBB leakage in the brainstem, contributing to the formation of MRI-visible EPVS. In the future, more advanced in-vivo imaging researches are needed to facilitate the detailed understanding of the anatomy of EPVS in the brainstem and the basal ganglia.

In our study, apart from tHcy, WMH were also associated with moderate to severe BG-EPVS, which is in accordance with previous studies [10]. By contrast, a history of ischemic stroke or TIA was linked to brainstem-EPVS. These findings suggest that the associations of EPVS vary with perivascular space location, which may be a reflection of the difference in the functioning of perivascular spaces [35]. While perivascular spaces play an important role in interstitial fluid drainage and waste clearance, the precise pathways are still unclear. Further researches are needed to clarify the exact drainage pathways in which brainstem-EPVS and BG-EPVS are involved. Of note, some caution is required in the interpretation of our findings because there may be confounding factors in the association between a history of ischemic stroke and brainstem-EPVS.

Although previous randomized trials have not shown benefit of vitamin B supplementation in preventing recurrence of stroke [43], it remains uncertain whether homocysteine-lowering therapy is effective in reducing the progression of cSVD or some subtypes of cSVD. A subgroup analysis of the VITAmins TO Prevent Stroke (VITATOPS) trial showed that administering B vitamins daily to recent ischemic stroke patients with severe cSVD significantly reduced the progression of WMH, but not the incidence of lacunes [44]. Evidence from other high-quality clinical interventional studies is scarce. Further prospective studies with large sample sizes are also needed to examine whether homocysteine-lowering strategy can slow the progression of EPVS in the basal ganglia and the brainstem.

There were several limitations to our study. First, it was a retrospective, cross-sectional study which could not establish a causal relationship. Second, although including only IPI patients facilitates the homogeneity of the study population for reducing potential confounding factors, it restricts the generalizability of our findings. Further prospective studies including patients with other types of cerebrovascular diseases and healthy controls are needed. Third, we did not assess cerebral microbleeds due to a lack of T2 gradient echo images in the routine MRI protocol. Fourth, other confounding factors that affect serum tHcy concentration such as serum vitamin B12 levels, folate levels, and mutations of methylenetetrahydrofolate reductase (MTHFR) gene were not considered in the analysis, except for smoking status. Finally, this study was unable to demonstrate significantly positive associations of tHcy level with WMH grade and the presence of lacunes in patients with acute isolated pontine infarction. The inconsistency with previous researches may be attributable to different characteristics of the study population. About 90% of the patients in our study had hypertension. Therefore, the variation of WMH burden and lacunes, which has a close relation with hypertension, was not high enough to generate significant results.

Conclusion

This study showed that an elevated serum tHcy concentration was significantly linked to both the presence of brainstem-EPVS and the severity of BG-EPVS in IPI patients. These findings indicate that tHcy may contribute to the pathogenesis of EPVS in the brainstem and the basal ganglia.

Availability of data and materials

The data that support the findings of this study are available from the corresponding authors upon reasonable request.

Abbreviations

tHcy:

total Homocysteine

cSVD:

Cerebral small vessel disease

MRI:

Magnetic resonance imaging

WMH:

White matter hyperintensities

EPVS:

Enlarged perivascular spaces

IPI:

Isolated pontine infarction

PPI:

Paramedian pontine infarction

SDPI:

Small deep pontine infarction

DWI:

Diffusion-weighted imaging

MRA:

Magnetic resonance angiography

CTA:

Computed tomographic angiography

TIA:

Transient ischemic attack

NIHSS:

National Institute of Health Stroke Scale

SBP:

Systolic blood pressure

DBP:

Diastolic blood pressure

FPG:

Fasting plasma glucose

HbA1c:

Glycosylated hemoglobin

LDL-C:

Low-density lipoprotein cholesterol

HDL-C:

High-density lipoprotein cholesterol

CCrE:

Estimated creatinine clearance

BG:

the Basal ganglia

CSO:

the Centrum semiovale

aOR:

Adjusted odds ratio

CI:

Confidence interval

BBB:

Blood-brain barrier

References

  1. Aisen PS, Schneider LS, Sano M, Diaz-Arrastia R, van Dyck CH, Weiner MF, et al. High-dose B vitamin supplementation and cognitive decline in Alzheimer disease: a randomized controlled trial. JAMA. 2008;300(15):1774–83. https://doi.org/10.1001/jama.300.15.1774.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Chambers JC, Obeid OA, Refsum H, Ueland P, Hackett D, Hooper J, et al. Plasma homocysteine concentrations and risk of coronary heart disease in UK Indian Asian and European men. Lancet. 2000;355(9203):523–7. https://doi.org/10.1016/S0140-6736(99)93019-2.

    Article  CAS  PubMed  Google Scholar 

  3. Sachdev PS, Valenzuela MJ, Brodaty H, Wang XL, Looi J, Lorentz L, et al. Homocysteine as a risk factor for cognitive impairment in stroke patients. Dement Geriatr Cogn Disord. 2003;15(3):155–62. https://doi.org/10.1159/000068481.

    Article  CAS  PubMed  Google Scholar 

  4. Matsui T, Arai H, Yuzuriha T, Yao H, Miura M, Hashimoto S, et al. Elevated plasma homocysteine levels and risk of silent brain infarction in elderly people. Stroke. 2001;32(5):1116–9. https://doi.org/10.1161/01.str.32.5.1116.

    Article  CAS  PubMed  Google Scholar 

  5. McCully KS. Homocysteine Metabolism, Atherosclerosis, and Diseases of Aging. Compr Physiol. 2015;6(1):471–505. https://doi.org/10.1002/cphy.c150021.

    Article  PubMed  Google Scholar 

  6. Casas JP, Bautista LE, Smeeth L, Sharma P, Hingorani AD. Homocysteine and stroke: evidence on a causal link from mendelian randomisation. Lancet. 2005;365(9455):224–32. https://doi.org/10.1016/S0140-6736(05)17742-3.

    Article  CAS  PubMed  Google Scholar 

  7. Moretti R, Giuffre M, Caruso P, Gazzin S, Tiribelli C. Homocysteine in Neurology: A Possible Contributing Factor to Small Vessel Disease. Int J Mol Sci. 2021;22:4. https://doi.org/10.3390/ijms22042051.

    Article  CAS  Google Scholar 

  8. Wardlaw JM, Smith C, Dichgans M. Mechanisms of sporadic cerebral small vessel disease: Insights from neuroimaging. Lancet Neurol. 2013;12:483–97. https://doi.org/10.1016/S1474-4422(13)70060-7.

    Article  PubMed  Google Scholar 

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

    Article  PubMed  Google Scholar 

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

    Article  PubMed  Google Scholar 

  11. 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(8):822–38. https://doi.org/10.1016/S1474-4422(13)70124-8.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Tseng YL, Chang YY, Liu JS, Su CS, Lai SL, Lan MY. Association of plasma homocysteine concentration with cerebral white matter hyperintensity on magnetic resonance images in stroke patients. J Neurol Sci. 2009;284(1-2):36–9. https://doi.org/10.1016/j.jns.2009.03.030.

    Article  CAS  PubMed  Google Scholar 

  13. Seshadri S, Wolf PA, Beiser AS, Selhub J, Au R, Jacques PF, et al. Association of plasma total homocysteine levels with subclinical brain injury: cerebral volumes, white matter hyperintensity, and silent brain infarcts at volumetric magnetic resonance imaging in the Framingham Offspring Study. Arch Neurol. 2008;65(5):642–9. https://doi.org/10.1001/archneur.65.5.642.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Kloppenborg RP, Geerlings MI, Visseren FL, Mali WP, Vermeulen M, van der Graaf Y, et al. Homocysteine and progression of generalized small-vessel disease: the SMART-MR Study. Neurology. 2014;82(9):777–83. https://doi.org/10.1212/WNL.0000000000000168.

    Article  CAS  PubMed  Google Scholar 

  15. Nam KW, Kwon HM, Jeong HY, Park JH, Kwon H, Jeong SM. Serum homocysteine level is related to cerebral small vessel disease in a healthy population. Neurology. 2019;92:E317–E25. https://doi.org/10.1212/WNL.0000000000006816.

    Article  CAS  PubMed  Google Scholar 

  16. Ji Y, Li X, Teng Z, Li X, Jin W, Lv Py. Homocysteine is Associated with the Development of Cerebral Small Vessel Disease: Retrospective Analyses from Neuroimaging and Cognitive Outcomes. J Stroke Cerebrovasc Dis 2020;29:105393; doi: https://doi.org/10.1016/j.jstrokecerebrovasdis.2020.105393.

  17. Cao Y, Su N, Zhang D, Zhou L, Yao M, Zhang S, et al. Correlation between total homocysteine and cerebral small vessel disease: A Mendelian randomization study. Eur J Neurol. 2021;28(6):1931–8. https://doi.org/10.1111/ene.14708.

    Article  PubMed  Google Scholar 

  18. Piao X, Wu G, Yang P, Shen J, De A, Wu J, et al. Association between Homocysteine and Cerebral Small Vessel Disease: A Meta-Analysis. J Stroke Cerebrovasc Dis. 2018;27(9):2423–30. https://doi.org/10.1016/j.jstrokecerebrovasdis.2018.04.035.

    Article  PubMed  Google Scholar 

  19. Erro ME, Gallego J, Herrera M, Bermejo B. Isolated pontine infarcts: etiopathogenic mechanisms. Eur J Neurol. 2005;12(12):984–8. https://doi.org/10.1111/j.1468-1331.2005.01119.x.

    Article  CAS  PubMed  Google Scholar 

  20. Bassetti C, Bogousslavsky J, Barth A, Regli F. Isolated infarcts of the pons. Neurology. 1996;46(1):165–75. https://doi.org/10.1212/wnl.46.1.165.

    Article  CAS  PubMed  Google Scholar 

  21. Adams HP Jr, Bendixen BH, Kappelle LJ, Biller J, Love BB, Gordon DL, et al. Classification of subtype of acute ischemic stroke. Definitions for use in a multicenter clinical trial. TOAST. Trial of Org 10172 in Acute Stroke Treatment. Stroke. 1993;24(1):35–41. https://doi.org/10.1161/01.str.24.1.35.

    Article  PubMed  Google Scholar 

  22. Brott T, Adams HP Jr, Olinger CP, Marler JR, Barsan WG, Biller J, et al. Measurements of acute cerebral infarction: a clinical examination scale. Stroke. 1989;20(7):864–70. https://doi.org/10.1161/01.str.20.7.864.

    Article  CAS  PubMed  Google Scholar 

  23. Cockcroft DW, Gault MH. Prediction of creatinine clearance from serum creatinine. Nephron. 1976;16(1):31–41. https://doi.org/10.1159/000180580.

    Article  CAS  PubMed  Google Scholar 

  24. Xia C, Chen HS, Wu SW, Xu WH. Etiology of isolated pontine infarctions: a study based on high-resolution MRI and brain small vessel disease scores. BMC Neurol. 2017;17:1:216. https://doi.org/10.1186/s12883-017-0999-7.

    Article  CAS  Google Scholar 

  25. Potter GM, Chappell FM, Morris Z, Wardlaw JM. Cerebral perivascular spaces visible on magnetic resonance imaging: Development of a qualitative rating scale and its observer reliability. Cerebrovascular Diseases. 2015;39:224–31. https://doi.org/10.1159/000375153.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Fazekas F, Chawluk JB, Alavi A, Hurtig HI, Zimmerman RA. MR signal abnormalities at 1.5 T in Alzheimer's dementia and normal aging. AJR Am J Roentgenol. 1987;149(2):351–6. https://doi.org/10.2214/ajr.149.2.351.

    Article  CAS  PubMed  Google Scholar 

  27. Yoshitomi R, Nakayama K, Yamashita S, Kumazoe M, Lin TA, Mei CY, et al. Plasma Homocysteine Concentration is Associated with the Expression Level of Folate Receptor 3. Sci Rep. 2020:10 1, 10283. https://doi.org/10.1038/s41598-020-67288-9.

  28. Hankey GJ, Eikelboom JW. Homocysteine and vascular disease. Lancet. 1999;354(9176):407–13. https://doi.org/10.1016/S0140-6736(98)11058-9.

    Article  CAS  PubMed  Google Scholar 

  29. Hassan A, Hunt BJ, O'Sullivan M, Bell R, D'Souza R, Jeffery S, et al. Homocysteine is a risk factor for cerebral small vessel disease, acting via endothelial dysfunction. Brain. 2004;127(Pt 1):212–9. https://doi.org/10.1093/brain/awh023.

    Article  PubMed  Google Scholar 

  30. Kamat PK, Kalani A, Givvimani S, Sathnur PB, Tyagi SC, Tyagi N. Hydrogen sulfide attenuates neurodegeneration and neurovascular dysfunction induced by intracerebral-administered homocysteine in mice. Neuroscience. 2013;252:302–19. https://doi.org/10.1016/j.neuroscience.2013.07.051.

    Article  CAS  PubMed  Google Scholar 

  31. 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. https://doi.org/10.1016/j.arr.2019.100916.

    Article  CAS  PubMed  Google Scholar 

  32. Beard RS Jr, Reynolds JJ, Bearden SE. Hyperhomocysteinemia increases permeability of the blood-brain barrier by NMDA receptor-dependent regulation of adherens and tight junctions. Blood. 2011;118(7):2007–14. https://doi.org/10.1182/blood-2011-02-338269.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Kamath AF, Chauhan AK, Kisucka J, Dole VS, Loscalzo J, Handy DE, et al. Elevated levels of homocysteine compromise blood-brain barrier integrity in mice. Blood. 2006;107(2):591–3. https://doi.org/10.1182/blood-2005-06-2506.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Wardlaw JM. Blood-brain barrier and cerebral small vessel disease. J Neurol Sci. 2010;299(1-2):66–71. https://doi.org/10.1016/j.jns.2010.08.042.

    Article  CAS  PubMed  Google Scholar 

  35. Wardlaw JM, Benveniste H, Nedergaard M, Zlokovic BV, Mestre H, Lee H, et al. Perivascular spaces in the brain: anatomy, physiology and pathology. Nat Rev Neurol. 2020;16(3):137–53. https://doi.org/10.1038/s41582-020-0312-z.

    Article  PubMed  Google Scholar 

  36. Nakada T, Kwee IL. Fluid Dynamics Inside the Brain Barrier: Current Concept of Interstitial Flow, Glymphatic Flow, and Cerebrospinal Fluid Circulation in the Brain. Neuroscientist. 2019;25(2):155–66. https://doi.org/10.1177/1073858418775027.

    Article  PubMed  Google Scholar 

  37. Bouvy WH, Biessels GJ, Kuijf HJ, Kappelle LJ, Luijten PR, Zwanenburg JJ. Visualization of perivascular spaces and perforating arteries with 7 T magnetic resonance imaging. Invest Radiol. 2014;49(5):307–13. https://doi.org/10.1097/RLI.0000000000000027.

    Article  PubMed  Google Scholar 

  38. Pollock H, Hutchings M, Weller RO, Zhang ET. Perivascular spaces in the basal ganglia of the human brain: their relationship to lacunes. J Anat. 1997;191(Pt 3):337–46. https://doi.org/10.1046/j.1469-7580.1997.19130337.x.

    Article  PubMed  PubMed Central  Google Scholar 

  39. Weller RO, Djuanda E, Yow HY, Carare RO. Lymphatic drainage of the brain and the pathophysiology of neurological disease. Acta Neuropathol 2009;117 1:1-14; doi: https://doi.org/10.1007/s00401-008-0457-0.

  40. Hladky SB, Barrand MA. Mechanisms of fluid movement into, through and out of the brain: evaluation of the evidence. Fluids Barriers CNS. 2014;11:1:26. https://doi.org/10.1186/2045-8118-11-26.

    Article  Google Scholar 

  41. Vogels V, Dammers R, van Bilsen M, Volovici V. Deep Cerebral Perforators: Anatomical Distribution and Clinical Symptoms: An Overview. Stroke. 2021;52(10):e660–e74. https://doi.org/10.1161/STROKEAHA.120.034096.

    Article  PubMed  Google Scholar 

  42. Caplan LR. Lacunar infarction and small vessel disease: pathology and pathophysiology. J Stroke. 2015;17(1):2–6. https://doi.org/10.5853/jos.2015.17.1.2.

    Article  PubMed  PubMed Central  Google Scholar 

  43. Kleindorfer DO, Towfighi A, Chaturvedi S, Cockroft KM, Gutierrez J, Lombardi-Hill D, et al. 2021 Guideline for the Prevention of Stroke in Patients With Stroke and Transient Ischemic Attack: A Guideline From the American Heart Association/American Stroke Association. Stroke. 2021;52(7):e364–467. https://doi.org/10.1161/STR.0000000000000375.

    Article  PubMed  Google Scholar 

  44. Cavalieri M, Schmidt R, Chen C, Mok V, de Freitas GR, Song S, et al. B vitamins and magnetic resonance imaging-detected ischemic brain lesions in patients with recent transient ischemic attack or stroke: the VITAmins TO Prevent Stroke (VITATOPS) MRI-substudy. Stroke. 2012;43(12):3266–70. https://doi.org/10.1161/STROKEAHA.112.665703.

    Article  CAS  PubMed  Google Scholar 

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Acknowledgments

Not applicable.

Funding

This work was supported by General Program of Jiangsu Commission of Health (H2019051), Jiangsu natural science fund projects (BK20201234), and Young Talent Development Plan of Changzhou Health Commission (CZQM2020073).

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Authors and Affiliations

  1. Department of Neurology, The Affiliated Changzhou No.2 People’s Hospital of Nanjing Medical University, No.29, Xinglong Lane, Changzhou, Jiangsu Province, 213004, China

    Yunting Fu, Wenwei Yun, Zhixiang Zhang & Min Zhang

  2. Department of Radiology, The Affiliated Changzhou No.2 People’s Hospital of Nanjing Medical University, Changzhou, Jiangsu Province, China

    Yi Ma

  3. Department of Neurology, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu Province, China

    Lulu Xiao & Wusheng Zhu

  4. Department of Neurology, Jinling Clinical Medical College of Nanjing Medical University, No.305, East Zhongshan Road, Nanjing, 210002, Jiangsu Province, China

    Wusheng Zhu

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  1. Yunting Fu
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  4. Yi Ma
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Contributions

YTF participated in the design, clinical data collection, statistical analysis, and writing the manuscript. ZXZ, MZ, and WWY evaluated the imaging data and helped with the MRI data analysis. YM collected the imaging data and helped with the imaging evaluation. WSZ and MZ participated in the design and coordination of the study, and were involved in reviewing and revising the manuscript. LLX reviewed and revised the manuscript. All authors read and approved the final manuscript.

Corresponding authors

Correspondence to Min Zhang or Wusheng Zhu.

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Ethics approval and consent to participate

The study protocol was approved by the Research Ethics Committee of the Affiliated Changzhou No.2 People’s Hospital of Nanjing Medical University (NO. 2017KY015-01). All methods were conducted in accordance with the ethical standards of the declaration of Helsinki. Written informed consent was waived by the Ethics Committee of Changzhou No.2 People’s Hospital because patient data were de-identified in this observational and retrospective study.

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The authors declare that they have no competing interests.

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Fu, Y., Yun, W., Zhang, Z. et al. Homocysteine is related to enlarged perivascular spaces in the brainstem in patients with isolated pontine infarction. BMC Neurol 22, 296 (2022). https://doi.org/10.1186/s12883-022-02744-9

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BMC Neurology

ISSN: 1471-2377

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