Literature DB >> 26822086

Plasma Metabonomic Profiling of Diabetic Retinopathy.

Liyan Chen1, Ching-Yu Cheng2, Hyungwon Choi3, Mohammad Kamran Ikram4, Charumathi Sabanayagam2, Gavin S W Tan5, Dechao Tian6, Liang Zhang6, Gopalakrishnan Venkatesan7, E Shyong Tai8, Jie Jin Wang9, Paul Mitchell9, Chiu Ming Gemmy Cheung5, Roger Wilmer Beuerman10, Lei Zhou11, Eric Chun Yong Chan12, Tien Yin Wong13.   

Abstract

Diabetic retinopathy (DR) is the most common microvascular complication of diabetes and the leading cause of visual impairment in working-age adults. Patients with diabetes often develop DR despite appropriate control of systemic risk factors, suggesting the involvement of other pathogenic factors. We hypothesize that the plasma metabolic signature of DR is distinct and resolvable from that of diabetes alone. A nested population-based case-control metabonomic study was first performed on 40 DR cases and 40 control subjects with diabetes using gas chromatography-mass spectrometry. Eleven metabolites were found to be correlated with DR, and the majority were robust when adjusted for metabolic risk factors and confounding kidney disease. The metabolite markers 2-deoxyribonic acid; 3,4-dihydroxybutyric acid; erythritol; gluconic acid; and ribose were validated in an independent sample set with 40 DR cases, 40 control subjects with diabetes, and 40 individuals without diabetes. DR cases and control subjects with diabetes were matched by HbA1c in the validation set. Activation of the pentose phosphate pathway was identified from the list of DR metabolite markers. The identification of novel metabolite markers for DR provides insights into potential new pathogenic pathways for this microvascular complication and holds translational value in DR risk stratification and the development of new therapeutic measures.
© 2016 by the American Diabetes Association. Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered.

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Year:  2016        PMID: 26822086     DOI: 10.2337/db15-0661

Source DB:  PubMed          Journal:  Diabetes        ISSN: 0012-1797            Impact factor:   9.461


  39 in total

1.  Metabolic profiling of acromegaly using a GC-MS-based nontargeted metabolomic approach.

Authors:  Hengchi Yu; Yaqun Zhao; Yazhuo Zhang; Liyong Zhong
Journal:  Endocrine       Date:  2019-12-24       Impact factor: 3.633

Review 2.  Metabolomics of Diabetic Retinopathy.

Authors:  Gerald Liew; Zhou Lei; Gavin Tan; Nichole Joachim; I-Van Ho; Tien Y Wong; Paul Mitchell; Bamini Gopinath; Ben Crossett
Journal:  Curr Diab Rep       Date:  2017-09-23       Impact factor: 4.810

3.  Metabolomics reveals the impact of Type 2 diabetes on local muscle and vascular responses to ischemic stress.

Authors:  Joshua A Beckman; Jiun-Ruey Hu; Shi Huang; Eric Farber-Eger; Quinn S Wells; Thomas J Wang; Robert E Gerszten; Jane F Ferguson
Journal:  Clin Sci (Lond)       Date:  2020-09-18       Impact factor: 6.124

4.  Erythritol is a pentose-phosphate pathway metabolite and associated with adiposity gain in young adults.

Authors:  Katie C Hootman; Jean-Pierre Trezzi; Lisa Kraemer; Lindsay S Burwell; Xiangyi Dong; Kristin A Guertin; Christian Jaeger; Patrick J Stover; Karsten Hiller; Patricia A Cassano
Journal:  Proc Natl Acad Sci U S A       Date:  2017-05-08       Impact factor: 11.205

Review 5.  Biomarkers of Diabetic Retinopathy.

Authors:  Daniel Shu Wei Ting; Kara-Anne Tan; Val Phua; Gavin Siew Wei Tan; Chee Wai Wong; Tien Yin Wong
Journal:  Curr Diab Rep       Date:  2016-12       Impact factor: 4.810

6.  Investigation of Retinal Metabolic Function in Type 1 Diabetic Akita Mice.

Authors:  Esraa Shosha; Luke Qin; Tahira Lemtalsi; Syed A H Zaidi; Modesto Rojas; Zhimin Xu; Robert William Caldwell; Ruth B Caldwell; Abdelrahman Y Fouda
Journal:  Front Cardiovasc Med       Date:  2022-06-02

7.  Molecular mechanisms of retinal ischemia.

Authors:  Seth D Fortmann; Maria B Grant
Journal:  Curr Opin Physiol       Date:  2018-12-28

Review 8.  Metabolomics of Type 1 and Type 2 Diabetes: Insights into Risk Prediction and Mechanisms.

Authors:  Daniel Gonzalez Izundegui; Matthew Nayor
Journal:  Curr Diab Rep       Date:  2022-02-03       Impact factor: 4.810

9.  Placental growth factor negatively regulates retinal endothelial cell barrier function through suppression of glucose-6-phosphate dehydrogenase and antioxidant defense systems.

Authors:  Hu Huang; Anton Lennikov; Madhu Sudhana Saddala; David Gozal; Dennis J Grab; Abdelnaby Khalyfa; Lijuan Fan
Journal:  FASEB J       Date:  2019-10-04       Impact factor: 5.834

10.  Prostaglandin F2α protects against pericyte apoptosis by inhibiting the PI3K/Akt/GSK3β/β-catenin signaling pathway.

Authors:  Ying Cheng; Liyuan Peng; Xiaoqing Deng; Ting Li; Hang Guo; Chaofei Xu; Ting Fang; Xiaohuan Liu; Bei Sun; Liming Chen
Journal:  Ann Transl Med       Date:  2021-06
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