Chin-Hsien Lin

Dr. Chin-Hsien Lin

orcid

Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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27 June 2019 in Journal of Neuroinflammation
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Journal Article
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CLChin-Hsien Lin
Chin-Hsien Lin
CCChieh-Chang Chen
Chieh-Chang Chen
HCHan-Lin Chiang
Han-Lin Chiang
JLJyh-Ming Liou
Jyh-Ming Liou
CCChih-Min Chang
Chih-Min Chang
MWMing-Shiang Wu
Ming-Shiang Wu
Emerging evidence suggests that gut microbiome composition alterations affect neurodegeneration through neuroinflammation in the pathogenesis of Parkinson’s disease (PD). Here, we evaluate gut microbiota alterations and host cytokine responses in a population of Taiwanese patients with PD. Fecal microbiota communities from 80 patients with PD and 77 age and gender-matched controls were assessed by sequencing the V3–V4 region of the 16S ribosomal RNA gene. Diet and comorbidities were controlled in the analyses. Plasma concentrations of IL-1β, IL-2, IL-4, IL-6, IL-13, IL-18, GM-CSF, IFNγ, and TNFα were measured by a multiplex immunoassay and relationships between microbiota, clinical characteristics, and cytokine levels were analyzed in the PD group. We further examined the cytokine changes associated with the altered gut microbiota seen in patients with PD in another independent cohort of 120 PD patients and 120 controls. Microbiota from patients with PD was altered relative to controls and dominated by Verrucomicrobia, Mucispirillum, Porphyromonas, Lactobacillus, and Parabacteroides. In contrast, Prevotella was more abundant in controls. The abundances of Bacteroides were more increased in patients with non-tremor PD subtype than patients with tremor subtype. Bacteroides abundance was correlated with motor symptom severity defined by UPDRS part III motor scores (rho = 0.637 [95% confidence interval 0.474 to 0.758], P < 0.01). Altered microbiota was correlated with plasma concentrations of IFNγ and TNFα. There was a correlation between Bacteroides and plasma level of TNFα (rho = 0.638 [95% CI: 0.102–0.887], P = 0.02); and a correlation between Verrucomicrobia abundance and plasma concentrations of IFNγ (rho = 0.545 [95% CI − 0.043–0.852], P = 0.05). The elevated plasma cytokine responses were confirmed in an additional independent 120 patients with PD and 120 controls (TNFα: PD vs. control 8.51 ± 4.63 pg/ml vs. 4.82 ± 2.23 pg/ml, P < 0.01; and IFNγ: PD vs. control: 38.45 ± 7.12 pg/ml vs. 32.79 ± 8.03 pg/ml, P = 0.03). This study reveals altered gut microbiota in PD and its correlation with clinical phenotypes and severity in our population. The altered plasma cytokine profiles associated with gut microbiome composition alterations suggest aberrant immune responses may contribute to inflammatory processes in PD.

1 January 2011 in Physical Therapy
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SHSheau-Ling Huang
Sheau-Ling Huang
CHChing-Lin Hsieh
Ching-Lin Hsieh
RWRuey-Meei Wu
Ruey-Meei Wu
CTChun-Hwei Tai
Chun-Hwei Tai
CLChin-Hsien Lin
Chin-Hsien Lin
WLWen-Shian Lu
Wen-Shian Lu
Background The minimal detectable change (MDC) is the smallest amount of difference in individual scores that represents true change (beyond random measurement error). The MDCs of the Timed “Up & Go” Test (TUG) and the Dynamic Gait Index (DGI) in people with Parkinson disease (PD) are largely unknown, limiting the interpretability of the change scores of both measures. Objective The purpose of this study was to estimate the MDCs of the TUG and the DGI in people with PD. Design This investigation was a prospective cohort study. Methods Seventy-two participants were recruited from special clinics for movement disorders at a university hospital. Their mean age was 67.5 years, and 61% were men. All participants completed the TUG and the DGI assessments twice, about 14 days apart. The MDC was calculated from the standard error of measurement. The percentage MDC (MDC%) was calculated as the MDC divided by the mean of all scores for the sample. Furthermore, the intraclass correlation coefficient was used to examine the reproducibility between testing sessions (test-retest reliability). Results The respective MDC and MDC% of the TUG were 3.5 seconds and 29.8, and those of the DGI were 2.9 points and 13.3. The test-retest reliability values for the TUG and the DGI were high; the intraclass correlation coefficients were .80 and .84, respectively. Limitations The study sample was a convenience sample, and the participants had mild to moderately severe PD. Conclusions The results showed that the TUG and the DGI have generally acceptable random measurement error and test-retest reliability. These findings should help clinicians and researchers determine whether a change in an individual patient with PD is a true change.

1 October 2011 in The Lancet Neurology
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Journal Article
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OROwen A Ross
Owen A Ross
ASAlexandra I Soto-Ortolaza
Alexandra I Soto-Ortolaza
MHMichael G Heckman
Michael G Heckman
JAJan O Aasly
Jan O Aasly
NANadine Abahuni
Nadine Abahuni
MFMatthew J. Farrer
Matthew J. Farrer
Background The leucine-rich repeat kinase 2 gene (LRRK2) harbours highly penetrant mutations that are linked to familial parkinsonism. However, the extent of its polymorphic variability in relation to risk of Parkinson's disease (PD) has not been assessed systematically. We therefore assessed the frequency of LRRK2 exonic variants in individuals with and without PD, to investigate the role of the variants in PD susceptibility. LRRK2 was genotyped in patients with PD and controls from three series (white, Asian, and Arab-Berber) from sites participating in the Genetic Epidemiology of Parkinson's Disease Consortium. Genotyping was done for exonic variants of LRRK2 that were identified through searches of literature and the personal communications of consortium members. Associations with PD were assessed by use of logistic regression models. For variants that had a minor allele frequency of 0·5% or greater, single variant associations were assessed, whereas for rarer variants information was collapsed across variants. 121 exonic LRRK2 variants were assessed in 15 540 individuals: 6995 white patients with PD and 5595 controls, 1376 Asian patients and 962 controls, and 240 Arab-Berber patients and 372 controls. After exclusion of carriers of known pathogenic mutations, new independent risk associations were identified for polymorphic variants in white individuals (M1646T, odds ratio 1·43, 95% CI 1·15-1·78; p=0·0012) and Asian individuals (A419V, 2·27, 1·35-3·83; p=0·0011). A protective haplotype (N551K-R1398H-K1423K) was noted at a frequency greater than 5% in the white and Asian series, with a similar finding in the Arab-Berber series (combined odds ratio 0·82, 0·72-0·94; p=0·0043). Of the two previously reported Asian risk variants, G2385R was associated with disease (1·73, 1·20-2·49; p=0·0026), but no association was noted for R1628P (0·62, 0·36-1·07; p=0·087). In the Arab-Berber series, Y2189C showed potential evidence of risk association with PD (4·48, 1·33-15·09; p=0·012). The results for LRRK2 show that several rare and common genetic variants in the same gene can have independent effects on disease risk. LRRK2, and the pathway in which it functions, is important in the cause and pathogenesis of PD in a greater proportion of patients with this disease than previously believed. These results will help discriminate those patients who will benefit most from therapies targeted at LRRK2 pathogenic activity. Michael J Fox Foundation and National Institutes of Health.

22 February 2022 in Neurology
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SCSzu-Ju Chen
Szu-Ju Chen
CCChieh-Chang Chen
Chieh-Chang Chen
HLHsin-Yu Liao
Hsin-Yu Liao
YLYa-Ting Lin
Ya-Ting Lin
YWYu-Wei Wu
Yu-Wei Wu
CLChin-Hsien Lin
Chin-Hsien Lin
Background and Objectives Short-chain fatty acids (SCFAs) are gut microbial metabolites that promote the disease process in a rodent model of Parkinson disease (PD), but fecal levels of SCFAs in patients with PD are reduced. Simultaneous assessments of fecal and plasma SCFA levels, and their interrelationships with the PD disease process, are scarce. We aimed to compare fecal and plasma levels of different SCFA subtypes in patients with PD and healthy controls to delineate their interrelations and link to gut microbiota changes and clinical severity of PD. Methods A cohort of 96 patients with PD and 85 controls were recruited from National Taiwan University Hospital. Fecal and plasma concentrations of SCFAs were measured using chromatography and mass spectrometry. Gut microbiota was analyzed using metagenomic shotgun sequencing. Body mass index and medical comorbidities were evaluated and dietary information was obtained using a food frequency questionnaire. To assess motor and cognitive impairment, we used the Movement Disorder Society–Unified Parkinson9s Disease Rating Scale (MDS-UPDRS) and the Mini-Mental Status Examination (MMSE). Results Compared with controls, patients with PD had lower fecal but higher plasma concentrations of acetate, propionate, and butyrate. After adjustment for age, sex, disease duration, and anti-PD medication dosage, MDS-UPDRS part III motor scores correlated with reduced fecal levels of acetate (ρ = −0.37, p = 0.012), propionate (ρ = −0.32, p = 0.036), and butyrate (ρ = −0.40, p = 0.004) and with increased plasma propionate concentrations (ρ = 0.26, p = 0.042) in patients with PD. MMSE scores negatively correlated with plasma levels of butyrate (ρ = −0.09, p = 0.027) and valerate (ρ = −0.032, p = 0.033) after adjustment for confounders. SCFAs-producing gut bacteria correlated positively with fecal levels of SCFAs in healthy controls but revealed no association in patients with PD. In the PD patient group, the abundance of proinflammatory microbes, such as Clostridiales bacterium NK3B98 and Ruminococcus sp AM07-15, significantly correlated with decreased fecal levels and increased plasma levels of SCFAs, especially propionic acid. Discussion Reductions in fecal SCFAs but increased plasma SCFAs were observed in patients with PD and corelated to specific gut microbiota changes and the clinical severity of PD. Classification of Evidence This study provides Class III evidence that gut metabolite SCFAs distinguish between patients with PD and controls and are associated with disease severity in patients with PD.

10 September 2019 in Neurology
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Journal Article
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CLChin-Hsien Lin
Chin-Hsien Lin
CLCheng-Hsuan Li
Cheng-Hsuan Li
KYKai-Chien Yang
Kai-Chien Yang
FLFang-Ju Lin
Fang-Ju Lin
CWChau-Chung Wu
Chau-Chung Wu
MCMing-Jang Chiu
Ming-Jang Chiu
Objective To examine whether plasma neurofilament light chain (NfL) levels were associated with motor and cognitive progression in Parkinson disease (PD). Methods This prospective follow-up study enrolled 178 participants, including 116 with PD, 22 with multiple system atrophy (MSA), and 40 healthy controls. We measured plasma NfL levels with electrochemiluminescence immunoassay. Patients with PD received evaluations of motor and cognition at baseline and at a mean follow-up interval of 3 years. Changes in the Unified Parkinson9s Disease Rating Scale (UPDRS) part III motor score and Mini-Mental State Examination score were used to assess motor and cognition progression. Results Plasma NfL levels were significantly higher in the MSA group than in the PD and healthy groups (35.8 ± 6.2, 17.6 ± 2.8, and 10.6 ± 2.3 pg/mL, respectively, p < 0.001). In the PD group, NfL levels were significantly elevated in patients with advanced Hoehn-Yahr stage and patients with dementia (p < 0.001). NfL levels were modestly correlated with UPDRS part III scores (r = 0.42, 95% confidence interval 0.46–0.56, p < 0.001). After a mean follow-up of 3.4 ± 1.2 years, a Cox regression analysis adjusted for age, sex, disease duration, and baseline motor or cognitive status showed that higher baseline NfL levels were associated with higher risks for either motor or cognition progression (p = 0.029 and p = 0.015, respectively). Conclusions Plasma NfL levels correlated with disease severity and progression in terms of both motor and cognitive functions in PD. Classification of evidence This study provides Class III evidence that plasma NfL level distinguishes PD from MSA and is a surrogate biomarker for PD progression.

1 March 2007 in Parkinsonism & Related Disorders
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Journal Article
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MFMatthew J. Farrer
Matthew J. Farrer
JSJeremy T. Stone
Jeremy T. Stone
CLChin-Hsien Lin
Chin-Hsien Lin
JDJustus C. Dächsel
Justus C. Dächsel
MHMary M. Hulihan
Mary M. Hulihan
RWRuey-Meei Wu
Ruey-Meei Wu