Diagnostic values of trimethylamine (TMA) and trimethylamine N-oxide (TMAO) in the prediction of gestational diabetes mellitus - a systematic review and meta-analysis.
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引用次数: 0
Abstract
Introduction and objective: Gestational diabetes mellitus (GDM) is a growing concern for public health, affecting approximately 20% of pregnancies globally. This underscores an urgent need for improved diagnostic and management strategies. This study examines the relationship between trimethylamine N-oxide (TMAO) and its precursor trimethylamine (TMA) levels and GDM, aiming to deepen our understanding of GDM's pathophysiology and identify novel therapeutic targets.
Material and methods: The meta-analysis adhered to the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) guidelines. The PubMed, Scopus, Web of Science, and the Cochrane Library electronic databases were comprehensively searched up to 11 July 2024.
Results: The analysis included five studies, encompassing a total of 1,726 participants. The studies reported TMAO levels among GDM and non-GDM patients. The reported TMAO levels among GDM and non-GDM patients were 57.66 ± 42.2 and 47.94 ± 30.86, respectively (SMD = -0.49; 95%CI: -2.69 to 1.71; p = 0.66). However, TMA levels in the GDM group (224.28 ± 39.88) were statistically higher than in the non-GDM group (124.05 ± 21.93; SMD = 3.11; 95%CI: 2.84 to 3.37; p<0.001).
Conclusions: The best available evidence indicates that while TMA levels are significantly increased in GDM, TMAO does not seem to have a diagnostic role in gestational diabetes mellitus. More prospective trials evaluating TMA and TMAO values among pregnant women with gestational diabetes mellitus are required.
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Biological agents posing occupational risk in agriculture, forestry, food industry and wood industry and diseases caused by these agents (zoonoses, allergic and immunotoxic diseases).
Health effects of chemical pollutants in agricultural areas , including occupational and non-occupational effects of agricultural chemicals (pesticides, fertilizers) and effects of industrial disposal (heavy metals, sulphur, etc.) contaminating the atmosphere, soil and water.
Exposure to physical hazards associated with the use of machinery in agriculture and forestry: noise, vibration, dust.
Prevention of occupational diseases in agriculture, forestry, food industry and wood industry.
Work-related accidents and injuries in agriculture, forestry, food industry and wood industry: incidence, causes, social aspects and prevention.
State of the health of rural communities depending on various factors: social factors, accessibility of medical care, etc.