Gary Tse 謝家偉

  • Clinical Assistant Professorship in 2016 at Chinese University of Hong Kong

Appointments

Principal Investigator and Distinguished Professorship in Cardiology, Tianjin Institute of Cardiology, Tianjin Medical University, Tianjin

Honorary Professor, Xiamen Cardiovascular Hospital, Xiamen University, Xiamen

Guest Professorship of Cardiovascular Medicine, The First Affiliated Hospital of Dalian Medical University, Dalian

Research Scientist, School of Life Sciences, Faculty of Science, The Chinese University of Hong Kong, Hong Kong S.A.R.

Principal Investigator, Laboratory of Cardiovascular Electrophysiology, Li Ka Shing Institute of Health Sciences, Hong Kong S.A.R.

People's Republic of China


Qualifications

BA (Hons.) (Cantab.), MBBS (Imperial), MA (Cantab.), MPH (Manc.), MHM (UNSW), PhD (Cantab.), MFPH (UK), FAcadMEd, FESC, FACC, FSCAI, FHRS, FRCP (Glasg, Edin, Lond), FRCPCH, FFPH


Research

Dr. Gary Tse's Research page is detailed below:

https://sites.google.com/view/garytse86/home


Selected Publications

1. Guo, S., Tse, G., Liu, T. (2020) Cardioprotective strategies to prevent trastuzumab-induced cardiotoxicity. Lancet. 15;395(10223):491-492. PMID: 32061289. https://doi.org/10.1016/S0140- 6736(19)32549-8. Impact factor: 59. 

2. Roever, L., Tse, G., Versaci, F., Biondi-Zoccai, G. (2019) Admission glucagon-like peptide-1 levels in acute myocardial infarction: is this really a new biomarker of cardiovascular risk? European Heart Journal. PMID: 31834367. https://doi.org/10.1093/eurheartj/ehz868Impact factor: 25. 

3. Ju, C., Lai, R.W.C., Li, K.H.C., Hung, J.K.F., Lai, J.C.N., Ho, J., Liu, Y., Tsoi, M.F., Liu, T., Cheung, B.M.Y., Wong, I.C.K., Tam, L.S., Tse, G.* (2019) Comparative cardiovascular risk in users versus non- users of xanthine oxidase inhibitors and febuxostat versus allopurinol users. Rheumatology. PMID: 31873735. https://doi.org/10.1093/rheumatology/kez576Impact factor: 5. 

4. Tse, G.*, Gong, M., Wong, S.H., Wu, W.K.K., Bazoukis, G., Lampropoulos, K., Wong, W.T., Xia, Y., Wong, M.C.S., Liu, T., Woo, J. (2017) Frailty and clinical outcomes in advanced heart failure patients undergoing left ventricular assist device implantation: a systematic review and meta-analysis. Journal of the American Medical Directors Association. pii: S1525-8610(17)30545-5. PMID: 29129497. http://dx.doi.org/10.1016/j.jamda.2017.09.022Impact factor: 5. 

5. Tse, G., Gong, M., Nunez, J., Sanchis, J., Li, G., Ali-Hasan-Al-Saegh, S., Wong, W.T., Wong, S.H., Wu, W.K.K., Bazoukis, G., Yan, G.X., Lampropoulos, K., Baranchuk, A.M., Tse, L.A., Xia, Y., Liu, T., Woo, J. (2017) Frailty and mortality outcomes after percutaneous coronary intervention: a systematic review and meta-analysis. Journal of the American Medical Directors Association. pii: S1525-8610(17)30514-5. PMID: 29079033 http://dx.doi.org/10.1016/j.jamda.2017.09.002Impact factor: 5. 



Pre-clinical research summary

In collaboration with Prof. Jack Wong and Prof. Tong Liu's research groups, Gary's team focuses on investigating the pathophysiology of atrial and ventricular arrhythmias, which are important conditions leading to thromboembolic events and sudden cardiac death, respectively. The team has unravelled the novel mechanisms by which immunosuppressive, anti-lipidemic and anti-diabetic medications exert protective effects against atrial fibrillation (Liu,..., Tse, Li and Liu, Cardiovasc Ther. 2017 Oct;35(5)). Using a combination of genetic, pharmacological, biochemical and imaging approaches, his team has identified reductions in oxidative stress and prevention of mitochondrial dysfunction are critical to achieve reverse remodelling of the atria (Zhang,...Tse, Li and Liu, J Am Heart Assoc. 2017 May 15;6(5). pii: e005945; Zhang,...Tse, Li and Liu, Cardiovasc Diabetol. 2018 Dec 27;17(1):160).

Using Langendorff mouse models (reviewed in Yeo,...and Tse, J Basic Clin Physiol Pharmacol. 2017 May 1;28(3):191-200), his team has elucidated the relative contributions of gap junction and sodium channel function to cardiac conduction, and the relationship between conduction, repolarization, their heterogeneities, and dynamic substrates of electrical restitution to atrial and ventricular arrhythmogenicity. Of note, his group was the first to validate the use of the S1S2 protocol against the gold standard of dynamic pacing for assessing electrical restitution in mice. The team's recent efforts have focused on the use of time-domain, frequency-domain and non-linear analysis to interrogate data derived from action potential time series (Tse et al., Front Physiol. 2018 9:1578).


Clinical research summary

On clinical research, the team utilizes clinical data to better define disease life course and epidemiology of cardiac arrhythmias. Using insights from their pre-clinical programme, the team has identified key electrocardiographic (ECG) predictors that can aid risk stratification in stroke. His team validated that atrial remodelling can be detected using the ECG and P-wave parameters reflecting atrial electrical dysfunction can predict future onset and recurrence of atrial fibrillation (AF) (Tse et al., Int J Cardiol. 2017 260:112. doi: 10.1016/j.ijcard.2018.03.004), and more importantly stroke events independently of AF (He, Tse et al., Stroke. 2017 Aug;48(8):2066-2072).

Moreover, his group has identified ECG predictors for ventricular arrhythmic and sudden cardiac death events in congenital ion channelopathies such as Brugada (Tse et al., Front Physiol. 2016 Oct 18;7:467) and Long QT syndromes (Tse et al., Int J Cardiol Heart Vasc. 2016 Nov 26;14:8-13), and more prevalent conditions of ischemic heart disease and myocardial infarction. These include fragmentation of the QRS complex (Meng et al., Front Physiol. 2017 Sep 12;8:678) and prolonged Tpeak-Tend intervals (Tse et al. Heart Rhythm. 2017 Aug;14(8):1131-1137), reflecting increased dispersion of conduction velocities and increased spatial dispersion of repolarization, respectively (reviewed in Tse et al., Europace. 2017 May 1;19(5):712-721). Dr. Gary is currently working with his team to establish multi-center ion channel disease cohorts, such as Brugada syndrome (Tse et al., Int J Cardiol. 2020 May 7:S0167-5273(20)31954-9), utilizing the full capabilities of cutting edge machine learning techniques to perform higher dimensional analysis on multi-modality datasets. Recently, the team applied a decision tree learning approach, demonstrating that incorporation of individual and non-linear interaction variables between P-wave area and age significantly improved prediction of incident atrial fibrillation (Tse et al., Front. Bioeng. Biotechnol. 2020).

His team makes use of population- and registry-based data to examine the epidemiology, disease outcomes (Wang...Tse, EuroIntervention. 2020 Jan 28. pii: EIJ-D-19-00225) and comparative drug effects in different cardiovascular conditions (Ju...Tse, Rheumatology (Oxford) pii: kez576) and to create score-based systems with advanced machine learning techniques for improving risk stratification (Li...Tse, Atherosclerosis. 2020, in press). His team also further provided epidemiological evidence on the cancer-metabolic link, reporting important relationships between serum insulin levels and lymph node metastases in endometrial cancer (Mu...Tse, Cancer Medicine 2018. 7(4):1519-1527). 

Finally, his team, along with international collaborators, publishes high-quality systematic reviews and meta-analyses on cardiovascular epidemiology, thereby providing a scientific basis for evidence-based practice in clinical medicine (e.g. Tse et al., J Am Med Dir Assoc.18(12):1097.e1-1097; Tse et al., Int J Cardiol. 2018. 250:152-156; Lakhani...Tse, Metabolism 2018. 83:11-17; Chi...Tse, JACC Clinical Electrophysiology. 2018 4(9):1214-1223; Tse et al. Br J Clin Pharmacol. 2018 Sep;84(9):1868-1882).


Service and Output

Together, Gary and his team have published in the Lancet, European Heart Journal, Journal of the American College of Cardiology, Journal of the American Medical Directors Association, Circulation: Arrhythmia and Electrophysiology, Circulation: Cardiovascular Imaging, International Journal of Cardiology, Stroke, Heart, Journal of the American Heart Association, Heart Rhythm, Europace, Journal of Arrhythmia and JACC: Clinical Electrophysiology. Their research has been recognized by conferences organized by learned societies, including the Gordon Research Conferences, European Cardiac Arrhythmia Society, Heart Rhythm Society and Europace. Dr. Gary has served as chairman/co-chairman of five national meetings, such as the NSFC-RGC Conference in Calcium Signalling, and The Joint Inaugural Clinical and Translational Cardiology Conference). 

Gary serves on the editorial board of Current Hypertension Reviews, Cardio-Oncology, Journal of Electrocardiology, Oxford Medical Case Reports and Frontiers in Physiology, Section of Cardiac Electrophysiology. He is a regular academic reviewer for > 40 international journals in cardiology, cardiac electrophysiology, cardiovascular biology and epidemiology. He is an International Council Member, International Society of Electrocardiology (ISE), and Nucleus Committee Member, Young Community of the ISE; Co-Director, International Health Informatics Study Network (IHISN): a research collaborative network involving >25 academics from 6 countries. He also served as Abstract Reviewer for European Society of Cardiology Congress and external expert reviewer for funding bodies from the UK (Medical Research Council, Rosetrees Trust) and New Zealand (Auckland Medical Research Foundation).

Gary has attracted approximately HK$12 million research-related funding as a principal applicant and co-applicant. In recognition of contributions to the understanding of cardiac electrophysiology, he was recently awarded the ECG Bayés Award by the International Congress of Electrocardiology for the best research output by a young investigator. For excellence in teaching and medical education, he was voted by medical students for the Medical Clerkship Exemplary Teaching Award, and subsequently elected to the Fellowship of the UK Academy of Medical Educators.