Literature DB >> 21559540

Metabolomics study of diabetic retinopathy using gas chromatography-mass spectrometry: a comparison of stages and subtypes diagnosed by Western and Chinese medicine.

Xiang Li1, Xiangxia Luo, Xin Lu, Junguo Duan, Guowang Xu.   

Abstract

Diabetic retinopathy (DR) is a serious microvascular syndrome of diabetes, and is one of the most frequent causes of blindness in the world. It has three progressive stages with complex metabolic deregulations in the holistic system of Western medicine. Chinese medicine classifies DR into two different syndrome types; integrating Western and Chinese medicine to treat DR is a validated therapeutic approach in China. In this research, the systemic metabolite change of DR was investigated from the viewpoint of both Western and Chinese medicine, using metabolomics based on gas chromatography-mass spectrometry. The data revealed both perspectives can reflect the metabolic patterns, development and differentiation of DR, and the data also had good correlation and complementarity in characterizing the process of DR. Potential biomarkers of DR based on the two perspectives indicated the alterative modes of metabolites and metabolic pathways in the disease, e.g. the disturbance in fatty acids, amino acids and glucose, etc. The results showed the usefulness and validity of combining both Western and Chinese medicine to study the subtypes of DR and the mechanisms involved.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21559540     DOI: 10.1039/c0mb00341g

Source DB:  PubMed          Journal:  Mol Biosyst        ISSN: 1742-2051


  18 in total

Review 1.  Challenges in elucidating the genetics of diabetic retinopathy.

Authors:  Jane Z Kuo; Tien Y Wong; Jerome I Rotter
Journal:  JAMA Ophthalmol       Date:  2014-01       Impact factor: 7.389

Review 2.  Introduction to metabolomics and its applications in ophthalmology.

Authors:  S Z Tan; P Begley; G Mullard; K A Hollywood; P N Bishop
Journal:  Eye (Lond)       Date:  2016-03-18       Impact factor: 3.775

Review 3.  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

Review 4.  Biomarkers in Diabetic Retinopathy.

Authors:  Alicia J Jenkins; Mugdha V Joglekar; Anandwardhan A Hardikar; Anthony C Keech; David N O'Neal; Andrzej S Januszewski
Journal:  Rev Diabet Stud       Date:  2015-08-10

5.  Clinical Applications of Omics Technologies on ZHENG Differentiation Research in Traditional Chinese Medicine.

Authors:  Ya-Nan Song; Gui-Biao Zhang; Yong-Yu Zhang; Shi-Bing Su
Journal:  Evid Based Complement Alternat Med       Date:  2013-06-18       Impact factor: 2.629

6.  Metabolomic profiling of reactive persulfides and polysulfides in the aqueous and vitreous humors.

Authors:  Hiroshi Kunikata; Tomoaki Ida; Kota Sato; Naoko Aizawa; Tomohiro Sawa; Hiroshi Tawarayama; Namie Murayama; Shigemoto Fujii; Takaaki Akaike; Toru Nakazawa
Journal:  Sci Rep       Date:  2017-02-07       Impact factor: 4.379

7.  Human plasma metabolomics in age-related macular degeneration (AMD) using nuclear magnetic resonance spectroscopy.

Authors:  Inês Laíns; Daniela Duarte; António S Barros; Ana Sofia Martins; João Gil; John B Miller; Marco Marques; Tânia Mesquita; Ivana K Kim; Maria da Luz Cachulo; Demetrios Vavvas; Isabel M Carreira; Joaquim N Murta; Rufino Silva; Joan W Miller; Deeba Husain; Ana M Gil
Journal:  PLoS One       Date:  2017-05-18       Impact factor: 3.240

Review 8.  Metabolomics window into diabetic complications.

Authors:  Tao Wu; Shuxuan Qiao; Chenze Shi; Shuya Wang; Guang Ji
Journal:  J Diabetes Investig       Date:  2017-09-13       Impact factor: 4.232

9.  Systemic lipid dysregulation is a risk factor for macular neurodegenerative disease.

Authors:  Roberto Bonelli; Sasha M Woods; Brendan R E Ansell; Tjebo F C Heeren; Catherine A Egan; Kamron N Khan; Robyn Guymer; Jennifer Trombley; Martin Friedlander; Melanie Bahlo; Marcus Fruttiger
Journal:  Sci Rep       Date:  2020-07-22       Impact factor: 4.379

10.  Familial autosomal recessive bestrophinopathy: identification of a novel variant in BEST1 gene and the specific metabolomic profile.

Authors:  Panpan Ye; Jia Xu; Yueqiu Luo; Zhitao Su; Ke Yao
Journal:  BMC Med Genet       Date:  2020-01-22       Impact factor: 2.103

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.