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Dive into the research topics where Chp Lee is active.

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Featured researches published by Chp Lee.


Clinical Endocrinology | 2015

Obesity, adipokines and cancer: an update

Chp Lee; Yc Woo; Yu Wang; Cy Yeung; A Xu; Ksl Lam

Obesity causes dysfunction of adipose tissue, with resultant chronic inflammation and adverse interplay of various adipokines, sex steroids and endocrine hormones. All these drive tumourigenesis and explain the epidemiological link between obesity and cancer. Over the past decade, the associations among obesity, adipokines and cancer have been increasingly recognized. Adipokines and their respective signalling pathways have drawn much research attention in the field of oncology and cancer therapeutics. This review will discuss the recent advances in the understanding of the association of several adipokines with common obesity‐related cancers and the clinical therapeutic implications.


Diabetic Medicine | 2015

Cardiometabolic risk profile of participants with prediabetes diagnosed by HbA1c criteria in an urban Hong Kong Chinese population over 40 years of age

Yu-Cho Woo; Bmy Cheung; Cy Yeung; Chp Lee; Eyl Hui; Carol H.Y. Fong; Annette W.K. Tso; Sidney Tam; K. S. L. Lam

To investigate the usefulness of the additional measurement of HbA1c, compared with performing only the oral glucose tolerance test (OGTT), in identifying participants at increased cardiometabolic risk, in an urban Chinese population.


Diabetes Research and Clinical Practice | 2017

Which creatinine-based estimated glomerular filtration rate equation best predicts all-cause mortality in Chinese subjects with type 2 diabetes?

Chp Lee; A.Z.L. Shih; Yc Woo; Carol H.Y. Fong; Michele Yuen; Ws Chow; K. S. L. Lam

AIM In Chinese, ethnicity-based and/or diabetes specific modifications of the Modification of Diet in Renal Disease (MDRD) and the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equations have been developed for determining estimated glomerular filtrate rate (eGFR). This study aimed to compare the performance of five different creatinine-based eGFR equations in predicting all-cause mortality among Chinese subjects with type 2 diabetes (T2DM). METHODS A total of 6739 Chinese subjects with T2DM were included. Their eGFR was calculated using the MDRD, CKD-EPI, their respective modified equations for Chinese, and the diabetes specific CKD-EPI Chinese T2DM equations. Multiple Cox regression analysis was used to evaluate the associations of eGFR with all-cause mortality. C-statistics, net reclassification index (NRI) and integrated discrimination index (IDI) were applied to assess the discrimination and reclassification of each eGFR equation in predicting mortality outcome. RESULTS Over a follow-up of 5.7years, the incidence of all-cause mortality was 12.9% (N=867). The CKD-EPI equation discriminated all-cause mortality better than the MDRD equation (C-statistics: 0.714 vs. 0.689, p<0.0001), and Chinese modification of their respective equations did not improve discrimination. Among the five eGFR equations evaluated, the CKD-EPI Chinese T2DM equation provided the best discrimination in predicting all-cause mortality among Chinese subjects with T2DM, and was the only equation providing a significantly positive NRI and IDI relative to the CKD-EPI equation. CONCLUSIONS Among Chinese subjects with T2DM, our findings suggested that the CKD-EPI Chinese T2DM equation best predicted all-cause mortality, and relative to the CKD-EPI equation, conferred improved discrimination and reclassification.


Diabetes Research and Clinical Practice | 2014

OP19 CIRCULATING ADIPOCYTE FATTY ACID BINDING PROTEIN LEVELS PREDICT THE PROGRESSION OF NEPHROPATHY IN TYPE 2 DIABETES MELLITUS

Chp Lee; E. Hui; Yc Woo; C.Y. Yeung; Ws Chow; Michele Yuen; Carol H.Y. Fong; Aimin Xu; K. S. L. Lam

interaction. Lee WJ, Huey-Herng Sheu W, Liu SH, Yi YC, Chen WC, Lin SY, Liang KW, Shen CC, Yeh HY, Lin LY, Tsai YC, Tien HR, Lee MR, Yang TJ, Sheu ML. Free Radic Biol Med. 2014 Jul 8; 74C: 294–306. [2] Advanced glycation end product Ne-carboxymethyllysine induces endothelial cell injury: the involvement of SHP-1regulated VEGFR-2 dephosphorylation. Liu SH, Sheu WH, Lee MR, Lee WJ, Yi YC, Yang TJ, Jen JF, Pan HC, Shen CC, Chen WB, Tien HR, Sheu ML. J Pathol. 2013 Jun; 230(2): 215–27. [3] The advanced glycation end product Nepsilon-(carboxymethyl)lysine is increased in serum from children and adolescents with type 1 diabetes. Berg TJ, Clausen JT, Torjesen PA, Dahl-Jorgensen K, Bangstad HJ, Hanssen KF. Diabetes Care. 1998 Nov; 21(11): 1997–2002.


Archive | 2017

Exome-chip association analyses for diabetic nephropathy and estimated glomerular filtration rate in Chinese patients with type 2 diabetes

Yy Cheung; Chp Lee; Sm Tang; A Xu; Ka-Wing Au; Hy Fong; Hm Kwok; Ws Chow; Yc Woo; Mma Yuen; Kcb Tan; Th Lam; Herman Tse; Pc Sham; Ksl Lam


Archive | 2017

Serum high-sensitivity C-reactive protein level predicts cardiovascular events in Chinese patients with type 2 diabetes with no known cardiovascular disease

Chp Lee; Yc Woo; Ws Chow; Hy Fong; Mam Yuen; Ksl Lam


Archive | 2017

A functional missense variant of the glucokinase regulator gene (GCKR) is associated with raised FGF21 levels in an exome-chip association study amongst Chinese individuals.

Ksl Lam; Chloe Y.Y. Cheung; Chp Lee; Syc Tang; A Xu; Ka-Wing Au; Lin Xu; Hy Fong; Hm Kwok; Ws Chow; Yu-Cho Woo; Mam Yuen; Ss Cherny; Shjj Hai; Yl Jin; Bmy Cheung; Kcb Tan; Th Lam; Herman Tse; Pc Sham


Archive | 2016

Glycemic control predicts the development of dementia in type 2 diabetes

Chp Lee; Ws Chow; Yc Woo; Hy Fong; Kh Chan; Ksl Lam


Archive | 2016

Optimal cut-offs of homeostasis model assessment of insulin resistance to identify dysglycaemia and diabetes

Azl Shih; Oy Leung; Chp Lee; Chy Fong; Yc Woo; Bmy Cheung; Ksl Lam


Archive | 2016

Effect of denosumab on bone mineral density in patients with prior bisphosphonate exposure

Yc Woo; Chn Loong; Wk Chau; Kyj Lam; Mam Yuen; Chp Lee; Ach Lee; Kcb Tan

Collaboration


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Yc Woo

University of Hong Kong

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Ws Chow

University of Hong Kong

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A Xu

University of Hong Kong

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K. S. L. Lam

University of Hong Kong

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Ksl Lam

University of Hong Kong

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Cy Yeung

University of Hong Kong

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Kcb Tan

University of Hong Kong

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Michele Yuen

University of Hong Kong

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