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. 2020 Aug 5;10(9):e01709. doi: 10.1002/brb3.1709

Reduced thiamine is a predictor for cognitive impairment of cerebral infarction

Liang Feng 1,2, Weilei He 2, Guiqian Huang 2, Shasha Lin 2, Chengxiang Yuan 2, Haoran Cheng 2, Jincai He 2,✉, Yiming Liu 1,✉
PMCID: PMC7507112  PMID: 32755028

Abstract

Objective

Reduced thiamine (vitamin B1) had been reported to be associated with cognitive impairment caused by Alzheimer disease. Our study is to explore the association between thiamine and cognitive impairment after acute ischemic stroke.

Materials and Methods

One hundred and eighty two patients with acute cerebral infarction were recruited within the first 24 hr after admission. Thiamine and other vitamin Bs of peripheral blood samples were measured. Patients were divided into with poststroke cognitive impairment (PSCI) and non‐PSCI according to the score of MMSE and the degree of education.

Results

Reduced thiamine (<1.0 ng/ml) was independently associated with PSCI (OR: 2.033, 95% CI: 1.017–4.067, p = .045) after adjusting for potential confounding factors. Advanced age, lower education, diabetes mellitus, left hemisphere infarction, and higher National Institute of Health Stroke Scale (NIHSS) were also independent risk factors for PSCI.

Conclusions

Reduced thiamine is one of the predictors for early cognitive impairment in patients with acute cerebral infarction.

Keywords: cerebral infarction, cognitive impairment, dementia, stroke, thiamine

PSCI shows a high incidence on acute stage, and more than a half (54.4%) of patients suffered with PSCI. Reduced serum thiamine was associated with early cognitive impairment in patients with acute infarction after adjusting for potential confounding factors. Advanced age, lower education, diabetes mellitus, left hemisphere infarction, and higher NIHSS were also independent risk factors for PSCI.

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1. INTRODUCTION

Poststroke cognitive impairment (PSCI) is a subtype of vascular cognitive impairment (VCI) and one of the important complications along with stroke. Incidence of PSCI ranges from about one‐third to a half within 3 months after stroke (Dichgans & Leys, 2017; Mijajlovic et al., 2017; Nijsse et al., 2017). The etiological factors and precautions for PSCI are being warmly discussed. Many studies showed cognitive impairment resulted from Alzheimer disease (AD) or vascular diseases shared common risk factors, such as diabetes mellitus, atrial fibrillation, and white matter changes(WMCs) (Madhavan, Graff‐Radford, Piccini, & Gersh, 2018; Sachdev et al., 2014; Verdelho et al., 2010). A growing number of studies focus on the relationship between thiamine and dementia. Thiamine insufficiency or functional thiamine deficiency was found to be a character of AD (Gibson et al., 2013, 2016; Pan et al., 2010). As is well known, thiamine is one of the essential vitamins for human beings, and thiamine deficiency is the cause for Wernicke encephalopathy and Korsakoff syndrome. To the best of our knowledge, there was no study which had shed light on the association between thiamine and VCI. The question whether thiamine deficiency is a potential predictor of VCI is attractive and needed to be discovered. PSCI provides a good clinical context for study on VCI. However, mechanisms of PSCI are complex and affected by many different factors. In this study, we collected extensive clinical and neuroimaging data, including basic demographic factors and stroke‐related features. A kind of liquid chromatography–tandem mass spectrometer was used to detect thiamine, together with other vitamin Bs. According to the Diagnostic Criteria for Vascular Cognitive Disorders (A VASCOG Statement) (Sachdev et al., 2014), a new lesion in the brainstem or cerebella is not a responsible change for PSCI, and those with only new subtentorial lesions were excluded from this study. Moreover, the measurement of cognitive function may be affected by depression, and patients with a history of depression or/and poststroke depression (PSD) were also not included in this study (Hommel, Carey, & Jaillard, 2015; Sachdev et al., 2014).

2. METHODS

2.1. Subjects

Patients with acute ischemic stroke were consecutively recruited from the neurological department of the First Affiliated Hospital of Wenzhou Medical University. This study was approved by the Medical Ethics Committee of the First Affiliated Hospital of Wenzhou Medical University and followed the tenants of the Declaration of Helsinki. The informed consents were signed by the patients and their relatives. The inclusive criteria were listed as follows: (a) an age range from 18 to 90 years old; (b) acute cerebral infarction occurring within 7 days; (c) diagnosed by computerized tomography (CT) or/and magnetic resonance imaging (MRI); (d) the modified Rankin Score (mRS) ≤2 before stroke; and (e) with complete information of regular auxiliary examinations. And the exclusive criteria were listed as follows: (a) transient ischemic attacks (TIA); (b) a history of depression (clinical diagnosis or previous treatment) or/ and PSD, or other psychiatric disorders; (c) unconscious, severe aphasia and dysarthria; (d) with chronic neurological disease, such as dementia, Parkinson's disease (PD), or Parkinson syndrome; (e) with severe underlying diseases; (f) had a history of cancer whether cured or not; (g) failed to complete the measurement of cognition or mood; (h) diagnosed as infratentorial infarction by the neuroimaging; and (i) carrying one or more large old lesions (diameter more than 20 mm) in the imaging.

2.2. Medical history

Standardized questionnaires were used in this study and conducted by trained physicians. Demographic data, lifestyle characteristics, and health status of the subjects were collected by the questionnaires within a week after admission. Hypertension was defined if patients had a history of hypertension or were using antihypertensive medication or systolic pressure > 140 mmHg and/or diastolic pressure > 90 mmHg during subject's hospitalization; hyperlipidemia was defined when triglyceride > 1.7 mmol/L, and/or total cholesterol > 5.2 mmol/L, and/or low‐density lipoprotein cholesterol >3.1 mmol/L, or the use of lipid‐lowering drugs. Diabetes mellitus (DM) was defined by a history of DM were using oral hypoglycemic agents/insulin, or/and fasting serum glucose level of 7.0 mmol/L or more, a postprandial serum glucose level of 11.1 mmol/L or more, or/and HbA1c level of 6.5% or more. Ischemic heart disease was defined as a history of myocardial infarction. Atrial fibrillation was diagnosed on a history or the results of electrocardiogram obtained during hospitalization. Anemia was diagnosed according the standard that hemoglobin was <115 g/L for female and 130 g/L for male; hyperuricemia was defined as the level of uric acid above 357 μmol/L for female and 428 μmol/L for male; smoking was defined as current smoking; drinking means drinking regularly (at least once a week), no less than one standard drink (10 g alcohol) a day; and all the patients who had a drinking history were divided into two subgroups according to the amount of drinking: moderate drinking (≤2 standard drink/d) and heavy drinking (>2 standard drink/day). Results within 24 hr after admission of fasting serum glucose (FBG), thyroid hormone (TH), thyrotropin‐releasing hormone (TSH), and homocysteine were also recorded (Table 1).

TABLE 1.

Baseline clinical characteristics between patients with PSCI and non‐PSCI

PSCI (n = 99) Non‐PSCI (n = 83) p
Age, years 65.30 ± 9.03 61.27 ± 10.17 .001*
Male, n (%) 53 (53.5) 59 (71.1) .015*
Education, years 2 (2–6) 6 (2–8) .001*
Stroke subtype, n (%)
Large‐artery atherosclerosis, n% 32 (32.3) 20 (24.1) .283
Small‐artery occlusion, n (%) 56 (56.6) 56 (67.5)
Cardioembolism, n (%) 8 (8.1) 3 (3.6)
Other stroke types, n (%) 3 (3.0) 4 (4.8)
Vascular risk factors
Current smoking, n (%) 38 (38.3) 43 (51.8) .070
Drinking, n (%)
Moderate (≤2 Drink) 11 (11.1) 10 (12.0) .039*
Heavy (>2 Drink) 13 (13.1) 23 (27.7)
Hypertension, n (%) 65 (65.7) 51 (61.4) .556
Hyperlipidemia, n (%) 65 (65.7) 44 (53.0) .083
Diabetes mellitus, n (%) 48 (48.5) 24 (28.9) .006*
Prior ischemic TIA or stroke, n (%) 15 (15.2) 9 (10.8) .759
Atrial fibrillation, n (%) 11 (11.1) 7 (8.4) .547
Ischemic heart disease, n (%) 4 (4.0) 2 (2.4) .539
NIHSS 3 (2–6) 2 (1–4) .001*
HAMA, n (%) 10 (10.1) 4 (4.8) .183
MMSE 13.79 ± 5.02 23.82 ± 3.09 .000*
Results of regular blood test
WBC 6.52 (5.55–7.70) 6.18 (5.31–7.59) .333
RBC 4.48 ± 0.44 4.55 ± 0.47 .299
Anemia 10 (10.1) 6 (7.2) .496
Plt 227.32 ± 54.68 219.14 ± 57.10 .326
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Values are means (standard deviations) in Student's t test or medians (interquartile range) in Mann–Whitney U test for continuous variables. Values are n (%) for categorical variables in chi‐square test. p value is the result of statistical comparison between PSCI and non‐PSCI.

*

p < .05.

2.3. Variables of neuroimaging

Brain imaging (CT and/or MRI) after stroke was obtained. An acute infarct was defined by the presence of a hyperintense MRI DWI lesion or/and hypodense lesions on CT that were relevant to the acute neurological symptoms. A radiologist and a neurologist both viewed the neuroimagings, and results were got with agreement. The following informations were recorded: size, location, and laterality of lesions. Infarcts were categorized as small if the diameter ≤20 mm (divided as single or multiple) or large if the diameter >20 mm. Locations of infarct were classified into cortical, subcortical white matter, and deep (basal ganglia, internal capsule, or thalamus). The lesion was labeled as left or right hemisphere of the brain. White matter lesion was evaluated with Fazekas scale (from 0 to 3 point) according to the degree (Defrancesco et al., 2013; Heo et al., 2009). Ischemic stroke was classified into large‐artery atherosclerosis, small‐artery occlusion, cardioembolism, and stroke of other cause (more than two causes or undetermined causes), according to the TOAST criteria (Trial of Org 10172 in Acute Stroke Treatment) (Adams et al., 1993), with exception that acute small infarct using the upper limit of 20 mm according to the up‐to‐date studies (Sachdev et al., 2014; Wardlaw et al., 2013; Yang et al., 2015).

2.4. Scale measurement and definition of PSCI

The following scale measurement was used for measurement in this study: the National Institutes of Health Stroke Scale (NIHSS), which was performed by trained physicians who in charge of the patients at admission; the Chinese version of Mini‐Mental State Examination (MMSE),17‐item Hamilton Depression Rating Scale (HAMD); and the 17‐item Hamilton Anxiety Rating Scale (HAMA), which were performed by only one fixed psychiatrist blind to all the clinical massages of the patients. Poststroke depression (PSD) was defined when HAMD score > 7 points, and those with PSD were finally excluded in this study; anxiety symptoms were screened by HAMA, and poststroke anxiety (PSA) was defined when HAMA score > 7 points. The PSCI was diagnosed by the MMSE scores and adjusted according to education years. Patients who were illiterate according the level ≤17 points, and a primary school education were according the level ≤ 20 points, postsecondary education or above were according the level ≤ 24 points (Cui et al., 2011; Katzman et al., 1988; Yao et al., 2010).

2.5. Blood collection and testing of vitamin Bs

Serum samples were obtained by centrifugation in the next morning after admission. Samples for the determination of vitamin Bs were stored at −80°C before being assayed. Thiamine and other vitamin Bs (vitamins B2, B3, B5, and B9) were measured using a kind of liquid chromatography–tandem mass spectrometer (Triple QuadTM 4500MD System, Sciex). A laboratory technician blinded to all clinical data processed the samples. The normal reference values of vitamin Bs were listed as follows: Thiamine was 1.0–10.10 ng/ml, vitamin B2 was 2.30–14.60 ng/ml, vitamin B3 was 5.2–72.10 ng/ml, vitamin B5 was12.90–253.10 ng/ml, and vitamin B9 was above 3.0 ng/ml. For results of blood tests, see Table 3.

2.6. Statistical analyses

To continuous variables on normal distribution, results were expressed as the mean ± standard deviation (SD) and compared using Student's t test; while data on normal distribution, variables were exhibited as median (interquartile range) and compared using the Mann–Whitney U test. Categorical variables were listed as number (percentage) and compared using the chi‐squared test. The significant variables including thiamine were further taken into logistic regression analysis and adjusted for the potential confounding factors. In logistic regression analysis, education was dichotomized as lower education (≤3 years, by median), and NIHSS was dichotomized as severity (≥4 point, by median); drinking was divided into three groups (no drinking, moderate, and heavy). The results of logistic regression analysis were expressed as adjusted odds ratios (OR) with the corresponding 95% confidence intervals (CI). Software of SPSS19.0 was adopted for statistical analysis. Values of p < .05 were considered to be statistically significant in all tests.

3. RESULTS

Between April 2018 and September 2019, 356 admitted patients with acute ischemic stroke in all were screened, and 182 patients were included in our study (for the screening process of subjects, see Figure 1). In this study, 99 patients (54.4%) were diagnosed with PSCI on acute stage, while 83 patients (46.4%) without PSCI. The baseline information of the two groups is displayed in Table 1. Compared to non‐PSCI, patients with PSCI were significantly older (p = .001) and had higher NIHSS (p = .001), lower education (p = .001), and higher proportion of diabetes mellitus (p = .006) (Table 1)and left hemisphere infarction (p = .005) (Table 2). Besides, low level of thiamine was more often in patients with PSCI than those without PSCI (p = .011) (Table 3).Variables of male (p = .015) and drinking history (p = .039) were also considered to be statistically significant in analysis of single factor (Table 1).

FIGURE 1.

FIGURE 1

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The screening process of subjects in this study

TABLE 2.

Neuroimaging features in patients between PSCI and non‐PSCI

PSCI (n = 99) Non‐PSCI (n = 83) p
Acute ischemic lesions
Single small infarct(size ≤ 20 mm) 46 51 .130
Multiple small infarct (n ≥ 2, size ≤20 mm) 22 13
Large infarct (n ≥ 1, size >20 mm) 31 19
Location of acute infarction (%)
Cortical 15 14 .690
Subcortical white matter 43 32
Deep 22 24
More than two regions 19 13
Lateralization, n (%)
Left hemisphere 60 33 .005*
Right hemisphere 39 50
WM lesion(by Fazekas scale)
Grade0 14 10 .100
Grade1 48 38
Grade2 25 26
Grade3 16 5
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Values are n (%) for categorical variables in chi‐square test. p value is the result of statistical comparison between PSCI and non‐PSCI.

*

p < .05.

TABLE 3.

Blood test results of vitamin Bs between PSCI and non‐PSCI

PSCI (n = 99) Non‐PSCI (n = 83) p
VB1 (<1 ng/ml), n (%) 52 (52.5) 30 (36.1) .011*
VB2, ng/ml 10.90 (1.40–55.90) 12.50 (3.70–76.60) .110
VB3, ng/ml 25.60 (7.20–112.00) 30.80 (19.80–42.00) .141
VB5, ng/ml 40.79 ± 17.21 41.57 ± 17.86 .933
VB9 (<3 ng/ml), n (%) 29 (29.3) 33 (39.8) .285
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Values are means (standard deviations) in Student's t test or medians (interquartile range) in Mann–Whitney U test for continuous variables. Values are n (%) for categorical variables in chi‐square test. p value is the result of statistical comparison between PSCI and non‐PSCI.

*

p < .05.

There were no significant group differences in terms of stroke subtype, size of ischemic lesion, white matter lesion (Table 2), and other vascular risk factors, such as current smoking, hypertension, hyperlipidemia, ischemic heart disease, and atrial fibrillation (Table 1). Meanwhile, there was no significant difference in variables of anemia, hyperuricemia (HUA), fasting serum glucose (FBG), thyroid hormone (TH), thyrotropin‐releasing hormone (TSH), homocysteine (HCY) (Table 1), and other vitamin Bs between the two groups (Table 3).

In a binary logistic regression, reduced thiamine was independently associated with the development of PSCI (OR: 2.033, 95% CI: 1.017–4.067, p = .045). Advanced age (OR: 1.053, 95% CI: 1.014–1.094, p = .008), lower education (OR: 2.144, 95% CI: 1.034–4.447, p = .040), diabetes mellitus (OR: 2.433, 95% CI: 1.192–4.967, p = .015), infarction in left hemisphere (OR: 2.699 95% CI: 1.349–5.398, p = .005), and higher NIHSS (OR: 3.081, 95% CI: 1.478–6.425, p = .003) were also independent risk factors of PSCI in this study (Table 4).

TABLE 4.

Results of multivariate logistic regression for the features associated with PSCI

Variables OR 95% CI p value
Age, years 1.053 1.014–1.094 .008*
Male 0.781 0.344–1.772 .554
Drinking 0.749 0.456–1.229 .252
Diabetes mellitus 2.433 1.192–4.967 .015*
Left hemisphere infarction 2.699 1.349–5.398 .005*
Higher NIHSS (≥4) 3.081 1.478–6.425 .003*
Lower education (≤3 years) 2.144 1.034–4.447 .040*
Lower thiamine (<1 ng/ml) 2.033 1.017–4.067 .045*
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p value is the result of statistical comparison by multivariate logistic regression between PSCI and non‐PSCI.

*

p < .05.

4. DISCUSSION

In our study, among 182 patients, more than a half (54.4%) were diagnosed with PSCI on the acute stage of cerebral infarction. Low level of thiamine is independently associated with early cognitive impairment (OR: 2.033, 95% CI: 1.017–4.067, p = .045), after adjusted for confounding factors. To the best of our knowledge, this is the first research to explore the relationship between thiamine and PSCI on acute stage.

As we know, glucose metabolism is a basic vital movement for human being. There are four forms of thiamin which exist in humans: unphosphorylated thiamine, thiamine monophosphate, thiamine diphosphate, and thiamine triphosphate. Thiamine diphosphate (TDP), which also named thiamine pyrophosphate (TPP), is the biologically active form of thiamine. The brain uses 25% of the glucose with only 2% of body weight in awake state (Chen & Zhong, 2013). TDP acts at key steps of glucose metabolism: In the pentose shunt, TDP is a coenzyme of transketolase; in the tricarboxylic acid (TCA) cycle, TDP is a coenzyme both for pyruvate dehydrogenase complex (PDHC) and ketoglutarate dehydrogenase complex (KGDHC) (Chen & Zhong, 2013; Gibson & Blass, 2007; Gibson et al., 2013, 2016);thus, thiamine deficiency would interfere the metabolism of glucose. Meanwhile, the decrease of glucose metabolism in the brain is a characteristic change for dementia and can be detected by 18F‐fluorodeoxyglucose (FDG)‐PET (Chen & Zhong, 2013; Leon et al., 2001; Ossenkoppele et al., 2013; Small et al., 2008).The mechanism underlying the association between reduced thiamine and PSCI may be explained as follows: On one side, it seemed reasonable that low level of thiamine connects with the decrease of glucose metabolism in central nervous system (CNS), which may lead to impairment of cognition. On the other hand, acute cerebral infarction in the brain, especially in the strategic location, would cause metabolism disorder, including a functional thiamine deficiency (Biesbroek, Weaver, & Biessels, 2017), which may do more harm to cognitive impairment. Moreover, it is usually unviable to estimate the level of thiamine together with the cognition function before stroke, and the accurate period of thiamine deficiency is unknown. A chronic deficiency of thiamine may first change the function of endothelial cells in CNS; other cell types, like astrocytes and microglias, will be involved as the state going on, and then, chronic inflammation and oxidative stress may take place in CNS (Gibson et al., 2016). Studies show that thiamine acts as an antioxidant and thiamine deficiency (TD) exacerbates the plaque pathology and increases the phosphorylation of tau in mouse model (Karuppagounder et al., 2009).Thiamine was found binded to multiple mitochondrial enzymes and may alter the interaction of the mitochondria and TD may cause endoplasmic reticulum (ER) stress, and autophagy in the brain (Liu, Ke, & Luo, 2017; Mkrtchyan et al., 2015). Thiamine deficiency (TD) also reduces activity of choline acetyltransferase (ChAT) which will cause the decrease of acetylcholine; TD also induces excess glutamate release, both of these are important pathogenesis for dementia. Furthermore, in animal models, TD reduces neurogenesis, especially in thalamus, hippocampus, and prefrontal cortex, and these change take place before the morphological alteration in the brain (Gibson et al., 2016; Zhao et al., 2008). Chronic deficiency of thiamine may coexist with those risk factors for VCI and exacerbate cognitive impairment in high‐risk population.

Nevertheless, what is the reason for the decrease of thiamine？ It seemed that thiamine deficiency is common in ordinary people, especially among elderly people and those with chronic disease (Borg et al., 2015; Hoffman, 2016). In our study, the following may explain thiamine deficiency in patients with stroke: First, insufficiency of intake, personal dietary choices before or after stroke may lead to thiamine insufficiency; besides a chronic low intake, metatrophia may occur after stroke. Second, physical condition of patients affected on the absorb and storage of thiamine in the body. Chronic diseases such as diabetes, cardiac failure, and gastrointestinal diseases could lead to an apparent thiamine deficiency (Gibson et al., 2016; Pepersack et al., 1999; Thornalley et al., 2007). Third, many different drugs can influence the thiamine status, including antacids (proton pump inhibitors), antihypertensives, diuretics, and antidepressants (Gibson et al., 2016). Although patients with a history of depression or PSD and those with severe comorbidity were excluded in our study, other risk factors such as diabetes, using antihypertensives or proton pump inhibitors were common among patients with ischemic stroke.

In the present study, we also found that advanced age, lower education, diabetes mellitus, left hemisphere infarction, and higher NIHSS were independently associated with early cognitive impairment. Aging was the most common risk factor for cognitive impairment, while education was a protective factor (Chen et al., 2016; Farooq & Gorelick, 2013; Yu et al., 2013). Although the entry criterias were variable, diabetes mellitus seemed to be the most common vascular risk factor for cognitive impairment and was a predictor of cognitive impairment after stroke (Ding, Xu, & Wang, 2019; Swardfager & MacIntosh, 2017; Wang et al., 2018). Strategic subcortical infarcts including internal capsule, thalamus, fornix, and caudate nucleus were the causes for PSCI (Biesbroek et al., 2017; Sachdev et al., 2014); though the lesions of infarction could not be defined in detail in most studies including ours, patients showed different cognitive impairment on left or right hemisphere. Left hemisphere was usually to be considered as dominant hemisphere, and infarction on left hemisphere was more easily to develop into cognitive disorder. The result was in accord with neuropsychological function of dominant hemisphere. Higher NIHSS means more neurological function defective after stroke, which was connected with cognitive impairment during both acute stage and chronic rehabilitation period (Chang et al., 2017).

There were still some limitations in our study. First, cognitive function was assessed on acute stage, and it is necessary to investigate the development of cognitive function during the long‐term follow‐up. Second, we excluded patients with depression, severe aphasia, and serious comorbidity, which might lead to an underestimation of the actual incidence of PSCI. Third, the level of thiamine was measured only once (at admission), and our future study will be conducted to measure thiamine dynamically. Last, the sample size of this study is not so large.

5. CONCLUSION

Poststroke cognitive impairment shows a high incidence on acute stage, and more than a half (54.4%) of patients suffered with PSCI. Reduced serum thiamine was associated with early cognitive impairment in patients with acute infarction after adjusting for potential confounding factors. Advanced age, lower education, diabetes mellitus, left hemisphere infarction, and higher NIHSS were also independent risk factors for PSCI.

CONFLICTS OF INTEREST

All the authors declare that there are no conflicts of interest.

AUTHOR CONTRIBUTIONS

Yiming Liu and Jincai He conceived and designed the experiments. Liang Feng drafted and revised the article and analyzed and interpreted the data. Weilei He nd Guiqian Huang screened the subjects and collected the basic data. Shasha Lin, Chengxiang Yuan, and Haoran Cheng collected and stored the blood samples.All authors read and approved the final manuscript.

PEER REVIEW

The peer review history for this article is available at https://publons.com/publon/10.1002/brb3.1709.

[Correction added on September 9,2020 , after first online publication: Peer review history statement has been added.]

ACKNOWLEDGMENTS

We would like to express our sincere gratitude to all the nurses, physicians, and the psychiatrist in the neurological department of the First Affiliated Hospital of Wenzhou Medical University who participated in this study and made this work possible. We also express our gratitude to all patients including the study.

Feng L, He W, Huang G, et al. Reduced thiamine is a predictor for cognitive impairment of cerebral infarction. Brain Behav. 2020;10:e01709 10.1002/brb3.1709

Weilei He has contributed equally to the work reported and should be considered as a first author.

The peer review history for this article is available at https://publons.com/publon/10.1111/brb3.1709

Funding information

The infrastructure for the study is funded by the Projects of National Natural Science Foundation of China (Grant No.81873799). These sources had no further role in the study design, data collection, and analysis.

Contributor Information

Jincai He, Email: hjc@wmu.edu.cn.

Yiming Liu, Email: liuym@sdu.edu.cn.

DATA AVAILABILITY STATEMENT

All data generated or analyzed during this study are included in this article.

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