Tsan-Chi Chen

Dr. Tsan-Chi Chen

Far Eastern Memorial Hospital, Taipei, Taiwan
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 July 2007 in Cellular Microbiology
Verified
Journal Article
Open access
PDF file
TCTsan-Chi Chen
Tsan-Chi Chen
YLYiu-Kay Lai
Yiu-Kay Lai
CYChun-Keung Yu
Chun-Keung Yu
AJand Jyh-Lyh Juang
and Jyh-Lyh Juang
The molecular mechanism behind what causes an infection of Enterovirus 71 (EV71) in young children to result in severe neurological diseases is unclear. Herein, we show that Cdk5, a critical signalling effector of various neurotoxic insults in the brain, is activated by EV71 infection of neuronal cells. EV71-induced neuronal apoptosis could be effectively repressed by blocking either Cdk5 kinase activity or its protein expression. Moreover, EV71-induced Cdk5 activation was modulated by c-Abl. The suppression of c-Abl kinase activity by STI571 notably repressed both the Cdk5 activation and neuronal apoptosis in cells infected with EV71. Although EV71 also induces apoptosis in non-neuronal cells, it did not affect Abl and Cdk5 activities in several non-neuronal cell lines. Intriguingly, coxsackievirus A16 (CA16), a genetically closely related serotype to EV71 that usually does not induce severe neurological disorders, could only weakly stimulate Abl, but not Cdk5 kinase activity. Taken together, our data suggest a serotype- and cell type-specific mechanism, by which EV71 induces Abl kinase activity, which in turn triggers Cdk5-signalling for neuronal apoptosis.

1 June 2006 in Journal of Clinical Microbiology
Verified
Journal Article
Closed access
TCTsan-Chi Chen
Tsan-Chi Chen
GCGuang-Wu Chen
Guang-Wu Chen
CHChao Agnes Hsiung
Chao Agnes Hsiung
JYJyh-Yuan Yang
Jyh-Yuan Yang
SSShin-Ru Shih
Shin-Ru Shih
AJand Jyh-Lyh Juang
and Jyh-Lyh Juang
Cluster A enteroviruses, including enterovirus 71 (EV71) and coxsackievirus A16 (CA16), are known to cause hand-foot-and-mouth disease (HFMD). Despite the close genetic relationship between these two viruses, EV71 is generally known to be a more perpetuating pathogen involved in severe clinical manifestations and deaths. While the serotyping of enteroviruses is mostly done by conventional immunological methods, many clinical isolates remain unclassifiable due to the limited number of antibodies against enterovirus surface proteins. Array-based assays are able to detect several serotypes with high accuracy. We combined an enterovirus microarray with multiplex reverse transcription-PCR to try to develop a method of sensitively and accurately detecting and differentiating EV71 and CA16. In an effort to design serotype-specific probes for detection of the virus, we first did an elaborate bioinformatic analysis of the sequence database derived from different enterovirus serotypes. We then constructed a microarray using 60-mer degenerate oligonucleotide probes covalently bound to array slides. Using this enterovirus microarray to study 144 clinical specimens from patients infected with HFMD or suspected to have HFMD, we found that it had a diagnostic accuracy of 92.0% for EV71 and 95.8% for CA16. Diagnostic accuracy for other enteroviruses (non-EV71 or -CA16) was 92.0%. All specimens were analyzed in parallel by real-time PCR and subsequently confirmed by neutralization tests. This highly sensitive array-based assay may become a useful alternative in clinical diagnostics of EV71 and CA16.

15 January 2004 in Clinical Infectious Diseases
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Journal Article
Open access
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SJShih Sheng Jiang
Shih Sheng Jiang
TCTsan-Chi Chen
Tsan-Chi Chen
JYJyh‐Yuan Yang
Jyh‐Yuan Yang
CHChao A. Hsiung
Chao A. Hsiung
ISIh‐Jen Su
Ih‐Jen Su
AJand Jyh-Lyh Juang
and Jyh-Lyh Juang
A quantitative, real-time, nested polymerase chain reaction (PCR) method, combining the high sensitivity of nested PCR with time-saving real-time ins

1 March 2017 in Cancer Nursing
Verified
Journal Article
Closed access
HCHsiu-Ling Chou
Hsiu-Ling Chou
TCTsu-Yi Chao
Tsu-Yi Chao
TCTsan-Chi Chen
Tsan-Chi Chen
CCChi-Ming Chu
Chi-Ming Chu
CHChen-Hsi Hsieh
Chen-Hsi Hsieh
AJAnthony J. Janckila
Anthony J. Janckila
Background: Symptom distress often occurs in lung cancer patients undergoing chemotherapy. However, a biomarker has not been identified to reflect the severity of their symptom distress.Objective: The aim of this study was to investigate the relationship between symptom distress and serum inflammatory biomarkers in lung cancer patients undergoing chemotherapy.Methods: A longitudinal, repeated-measures design was used to assess subjective symptoms (fatigue, sleep disturbance, pain, depression, and confusion), serum biomarkers (tartrate-resistant acid phosphatase 5a [TRACP5a], interleukin 6 [IL-6], IL-8, and C-reactive protein), and white blood cells in 62 lung cancer patients recruited from a single medical center at 3 time points: T1 was the baseline, T2 was the eighth day after the first chemotherapy cycle, and T3 was prior to the second cycle. Symptom distress was measured individually by 5 questionnaires (General Fatigue Scale, Pittsburgh Sleep Quality Index, Brief Pain Inventory, Profile of Mood States–Depressive, and Confusion).Results: The trend of TRACP5a was positively correlated to the trend of the patients’ symptom distress. However, the trends of IL-6 and IL-8 did not correlate.Conclusions: Serum TRACP5a was associated with symptom distress in lung cancer patients. Therefore, TRACP5a might be a potential biomarker to assess symptom distress of lung cancer patients undergoing chemotherapy.Implications for Practice: Oncology nurses may be able to apply TRACP5a expression to predict or monitor multiple distress symptoms in lung cancer patients undergoing chemotherapy. Furthermore, nurses can use these study findings to better understand the patients who need more attention to improve their quality of life.

14 August 2022 in Diagnostics
Verified
Journal Article
Open access
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PLPen-Chih Liao
Pen-Chih Liao
Ming-Shu ChenMing-Shu Chen
Ming-Shu Chen
MJMao-Jhen Jhou
Mao-Jhen Jhou
TCTsan-Chi Chen
Tsan-Chi Chen
ChihTe YangChihTe Yang
ChihTe Yang
Chi-Jie LuChi-Jie Lu
Chi-Jie Lu
Purpose: Cardiovascular disease (CVD) is a major worldwide health burden. As the risk factors of CVD, hypertension, and hyperlipidemia are most mentioned. Early stage hypertension in the population with dyslipidemia is an important public health hazard. This study was the application of data-driven machine learning (ML), demonstrating complex relationships between risk factors and outcomes and promising predictive performance with vast amounts of medical data, aimed to investigate the association between dyslipidemia and the incidence of early stage hypertension in a large cohort with normal blood pressure at baseline. Methods: This study analyzed annual health screening data for 71,108 people from 2005 to 2017, including data for 27 risk-related indicators, sourced from the MJ Group, a major health screening center in Taiwan. We used five machine learning (ML) methods—stochastic gradient boosting (SGB), multivariate adaptive regression splines (MARS), least absolute shrinkage and selection operator regression (Lasso), ridge regression (Ridge), and gradient boosting with categorical features support (CatBoost)—to develop a multi-stage ML algorithm-based prediction scheme and then evaluate important risk factors at the early stage of hypertension, especially for groups with high-density lipoprotein cholesterol (HDL-C) and low-density lipoprotein cholesterol (LDL-C) levels within or out of the reference range. Results: Age, body mass index, waist circumference, waist-to-hip ratio, fasting plasma glucose, and C-reactive protein (CRP) were associated with hypertension. The hemoglobin level was also a positive contributor to blood pressure elevation and it appeared among the top three important risk factors in all LDL-C/HDL-C groups; therefore, these variables may be important in affecting blood pressure in the early stage of hypertension. A residual contribution to blood pressure elevation was found in groups with increased LDL-C. This suggests that LDL-C levels are associated with CPR levels, and that the LDL-C level may be an important factor for predicting the development of hypertension. Conclusion: The five prediction models provided similar classifications of risk factors. The results of this study show that an increase in LDL-C is more important than the start of a drop in HDL-C in health screening of sub-healthy adults. The findings of this study should be of value to health awareness raising about hypertension and further discussion and follow-up research.

11 April 2022 in Cell Death & Disease
Verified
Journal Article
Open access
PDF file
RLRai-Hua Lai
Rai-Hua Lai
YCYen-Hung Chow
Yen-Hung Chow
NCNai-Hsiang Chung
Nai-Hsiang Chung
TCTsan-Chi Chen
Tsan-Chi Chen
FSFeng-Shiun Shie
Feng-Shiun Shie
AJand Jyh-Lyh Juang
and Jyh-Lyh Juang
Brainstem encephalitis, a manifestation of severe enterovirus 71 (EV71) infection, is an acute excessive inflammatory response. The mechanisms underlying its development remain poorly understood. Usually neurotropic viruses trigger acute host immune response by engaging cell surface or intracellular receptors. Here, we show that EV71 engagement with intracellular receptor TLR9 elicits IL-12p40-iNOS signaling causing encephalitis in mice. We identified IL-12p40 to be the only prominent cytokine-induced at the early infection stage in the brainstem of mice subjected to a lethal dose of EV71. The upregulated IL-12p40 proteins were expressed in glial cells but not neuronal cells. To better understand the role of IL-12p40 in severe EV71 infection, we treated the EV71-infected mice with an antibody against IL-12p40 and found the mortality rate, brainstem inflammation, and gliosis to be markedly reduced, suggesting that the acute IL-12p40 response plays a critical role in the pathogenesis of brainstem encephalitis. Mechanistically, intracellular TLR9 was found essential to the activation of the IL-12p40 response. Blocking TLR9 signaling with CpG-ODN antagonist ameliorated IL-12p40 response, brainstem inflammation, and limb paralysis in mice with EV71-induced encephalitis. We further found the glial IL-12p40 response might damage neurons by inducing excess production of neurotoxic NO by iNOS. Overall, EV71 engagement with intracellular TLR9 was found to elicit a neurotoxic glial response via IL12p40-iNOS signaling contributing to the neurological manifestation of EV71 infection. This pathway could potentially be targeted for the treatment of brainstem encephalitis.