Melvin Wong

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AIMS Irisin is a novel myokine secreted in response to PPAR-γ co-activator-1α (PGC-1α) activation. Earlier studies suggested that PGC-1α expression and activity were lower in myocytes in type 2 diabetes mellitus (T2DM). Therefore, we hypothesize that circulating irisin levels are lower in T2DM patients. METHODS In this observational study, we recruited 96(More)
AIMS Chronic kidney disease (CKD) secondary to type 2 diabetes mellitus (T2DM) is associated with multifaceted energy dysmetabolism. We aim to study the relationship between renal function, body composition and irisin, the recently identified myokine which is involved in energy regulation, in T2DM. METHODS Circulating irisin and body composition were(More)
OBJECTIVES To study the relationship between plasma soluble klotho (sKlotho) and pro-endothelin-1 (proET-1) in patients with type 2 diabetes (T2DM). SUBJECTS AND METHODS In this cross-sectional study, we recruited 175 T2DM subjects and 56 non-diabetic controls. Plasma sKlotho, proET-1 and extracellular superoxide dismutase (SOD) were measured by ELISA and(More)
Patent foramen ovale has been suggested to be a risk factor for cryptogenic stroke by means of paradoxical embolism. The data, however, are complex, conflicting and largely unavailable. In this review, we attempt to summarize the existing data separately for the questions of whether patent foramen ovale is associated with cryptogenic stroke and whether it(More)
Cardiovascular disease is the leading cause of morbidity and mortality in type 2 diabetes mellitus. We evaluated the predictive ability of the recently developed body adiposity index for aortic stiffness, an intermediate endpoint of cardiovascular disease, in a cross-sectional multi-ethnic Asian type 2 diabetes mellitus cohort (N = 1408). AS was estimated(More)
In this paper, we present machine learning approaches for characterizing and forecasting the short-term demand for on-demand ride-hailing services. We propose the spatio-temporal estimation of the demand that is a function of variable effects related to traffic, pricing and weather conditions. With respect to the methodology, a single decision tree,(More)
Conventional methods of estimating latent behaviour generally use attitudinal questions which are subjective and these survey questions may not always be available. We hypothesize that an alternative approach can be used for latent variable estimation through an undirected graphical models. For instance, non-parametric artificial neural networks. In this(More)
CONTEXT A recent study suggested that urinary haptoglobin may be a novel biomarker to improve predictive performance of albuminuria in type 2 diabetes mellitus (T2DM). However, the finding has not been externally validated. OBJECTIVE The objective of the study was to evaluate whether urinary haptoglobin improves predictive performance of albuminuria in(More)
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