A systematic review of metabolite profiling in gestational diabetes mellitus.
A systematic review of metabolite profiling in gestational diabetes mellitus.
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DOI：
10.1007/s00125-014-3371-0
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发表时间：
2014-12
期刊：
影响因子：
8.2
通讯作者：
Bentley-Lewis, Rhonda
中科院分区：
文献类型：
--
作者：
Huynh, Jennifer;Xiong, Grace;Bentley-Lewis, Rhonda
关键词：
妊娠糖尿病与妊娠期间和妊娠后的不良母体和胎儿结局相关，包括2型糖尿病和心血管疾病的风险增加。由于早期风险分层在预防这些并发症中的重要性，改善妊娠早期诊断妊娠期糖尿病的生物标志物测定将提高我们优化孕产妇和胎儿健康的能力。代谢物组学分析是对生物化学途径的小分子产物的系统研究，在鉴定与几种代谢疾病（包括妊娠期糖尿病）发病机制相关的关键代谢物方面显示出了希望。本文对生物标志物和妊娠期糖尿病的研究现状进行了系统综述，并讨论了代谢组学在妊娠期糖尿病预测、诊断和管理中的临床意义。我们使用“代谢组学”、“代谢组学”、“核磁光谱学”、"质谱“、"代谢谱”和“氨基酸谱”与“妊娠期糖尿病”的关键术语组合，对截至2014年2月底的MEDLINE（PubMed）进行了系统检索。通过检索纳入研究的参考文献列表识别出其他文章。通过使用QUADOMICS对纳入文献进行质量评估。该系统综述包括17篇文章。与妊娠期糖尿病最相关的生物标志物是不对称二甲基精氨酸和NEFA。QUADOMICS分析后，17项纳入研究中有13项被归类为“高质量”。现有的妊娠期糖尿病代谢组学研究在代谢物谱特征方面存在不一致的结果。需要在更大、种族/民族更多样化的人群中进行进一步研究。
Gestational diabetes mellitus is associated with adverse maternal and fetal outcomes during, as well as subsequent to, pregnancy, including increased risk of type 2 diabetes and cardiovascular disease. Because of the importance of early risk stratification in preventing these complications, improved first-trimester biomarker determination for diagnosing gestational diabetes would enhance our ability to optimise both maternal and fetal health. Metabolomic profiling, the systematic study of small molecule products of biochemical pathways, has shown promise in the identification of key metabolites associated with the pathogenesis of several metabolic diseases, including gestational diabetes. This article provides a systematic review of the current state of research on biomarkers and gestational diabetes and discusses the clinical relevance of metabolomics in the prediction, diagnosis and management of gestational diabetes. We conducted a systematic search of MEDLINE (PubMed) up to the end of February 2014 using the key term combinations of ‘metabolomics,’ ‘metabonomics,’ ‘nuclear magnetic spectroscopy,’ ‘mass spectrometry,’ ‘metabolic profiling’ and ‘amino acid profile’ combined (AND) with ‘gestational diabetes’. Additional articles were identified through searching the reference lists from included studies. Quality assessment of included articles was conducted through the use of QUADOMICS. This systematic review included 17 articles. The biomarkers most consistently associated with gestational diabetes were asymmetric dimethylarginine and NEFAs. After QUADOMICS analysis, 13 of the 17 included studies were classified as ‘high quality’. Existing metabolomic studies of gestational diabetes present inconsistent findings regarding metabolite profile characteristics. Further studies are needed in larger, more racially/ethnically diverse populations.
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影响因子：
37.8
作者：
Cheng S;Rhee EP;Larson MG;Lewis GD;McCabe EL;Shen D;Palma MJ;Roberts LD;Dejam A;Souza AL;Deik AA;Magnusson M;Fox CS;O'Donnell CJ;Vasan RS;Melander O;Clish CB;Gerszten RE;Wang TJ
通讯作者：
Wang TJ
影响因子：
16.2
作者：
American Diabetes Association
通讯作者：
American Diabetes Association
影响因子：
4.2
作者：
Dejong, Cornelis H. C.;van de Poll, Marcel C. G.;Damink, Steven W. M. Olde
通讯作者：
Damink, Steven W. M. Olde
影响因子：
16.2
作者：
Desoye, Gernot;Mouzon, Sylvie Hauguel-De
通讯作者：
Mouzon, Sylvie Hauguel-De
DOI：
10.1111/dme.12381
发表时间：
2014-03
期刊：
Diabetic medicine : a journal of the British Diabetic Association
影响因子：
--
作者：
Catalano PM
通讯作者：
Catalano PM