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Serum TGF-β1 as a Biomarker for Type 2 Diabetic Nephropathy: A Meta-Analysis of Randomized Controlled Trials
BACKGROUND: Abnormal expression of serum TGF-β1 was found in patients with diabetic nephropathy. However, the association of TGF-β1 with the risk of diabetic nephropathy remains unknown. The present study was undertaken to investigate whether such an association exists. METHODS: We searched the Chin...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4764759/ https://www.ncbi.nlm.nih.gov/pubmed/26901047 http://dx.doi.org/10.1371/journal.pone.0149513 |
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author | Mou, Xin Zhou, Di-Yi Zhou, Dan-Yang Ma, Jing-Ru Liu, Ying-Hui Chen, Hui-Ping Hu, Yong-Bin Shou, Cheng-Min Chen, Jia-Wei Liu, Wen-Hong Ma, Guo-Ling |
author_facet | Mou, Xin Zhou, Di-Yi Zhou, Dan-Yang Ma, Jing-Ru Liu, Ying-Hui Chen, Hui-Ping Hu, Yong-Bin Shou, Cheng-Min Chen, Jia-Wei Liu, Wen-Hong Ma, Guo-Ling |
author_sort | Mou, Xin |
collection | PubMed |
description | BACKGROUND: Abnormal expression of serum TGF-β1 was found in patients with diabetic nephropathy. However, the association of TGF-β1 with the risk of diabetic nephropathy remains unknown. The present study was undertaken to investigate whether such an association exists. METHODS: We searched the Chinese VIP, Wangfang, China National Knowledge Infrastructure, PubMed, Embase, and Google Scholar databases for relevant studies and extracted all eligible data. Stata12 software was used for statistical analysis. RESULTS: Nine reports met our criteria and were used for data extraction. There were 264 patients and 227 healthy controls from qualified reports in this meta-analysis. The results suggested that serum TGF-β1 levels were significantly up-regulated in patients with diabetic nephropathy; the instrumental variable was 3.94 (95% confidence interval 3.20–4.68, p<0.01). CONCLUSIONS: Meta-analysis suggested that elevated serum TGF-β level in patients with diabetes is associated with a high risk of nephropathy. Further studies are required to validate these observations. |
format | Online Article Text |
id | pubmed-4764759 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-47647592016-03-07 Serum TGF-β1 as a Biomarker for Type 2 Diabetic Nephropathy: A Meta-Analysis of Randomized Controlled Trials Mou, Xin Zhou, Di-Yi Zhou, Dan-Yang Ma, Jing-Ru Liu, Ying-Hui Chen, Hui-Ping Hu, Yong-Bin Shou, Cheng-Min Chen, Jia-Wei Liu, Wen-Hong Ma, Guo-Ling PLoS One Research Article BACKGROUND: Abnormal expression of serum TGF-β1 was found in patients with diabetic nephropathy. However, the association of TGF-β1 with the risk of diabetic nephropathy remains unknown. The present study was undertaken to investigate whether such an association exists. METHODS: We searched the Chinese VIP, Wangfang, China National Knowledge Infrastructure, PubMed, Embase, and Google Scholar databases for relevant studies and extracted all eligible data. Stata12 software was used for statistical analysis. RESULTS: Nine reports met our criteria and were used for data extraction. There were 264 patients and 227 healthy controls from qualified reports in this meta-analysis. The results suggested that serum TGF-β1 levels were significantly up-regulated in patients with diabetic nephropathy; the instrumental variable was 3.94 (95% confidence interval 3.20–4.68, p<0.01). CONCLUSIONS: Meta-analysis suggested that elevated serum TGF-β level in patients with diabetes is associated with a high risk of nephropathy. Further studies are required to validate these observations. Public Library of Science 2016-02-22 /pmc/articles/PMC4764759/ /pubmed/26901047 http://dx.doi.org/10.1371/journal.pone.0149513 Text en © 2016 Mou et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Mou, Xin Zhou, Di-Yi Zhou, Dan-Yang Ma, Jing-Ru Liu, Ying-Hui Chen, Hui-Ping Hu, Yong-Bin Shou, Cheng-Min Chen, Jia-Wei Liu, Wen-Hong Ma, Guo-Ling Serum TGF-β1 as a Biomarker for Type 2 Diabetic Nephropathy: A Meta-Analysis of Randomized Controlled Trials |
title | Serum TGF-β1 as a Biomarker for Type 2 Diabetic Nephropathy: A Meta-Analysis of Randomized Controlled Trials |
title_full | Serum TGF-β1 as a Biomarker for Type 2 Diabetic Nephropathy: A Meta-Analysis of Randomized Controlled Trials |
title_fullStr | Serum TGF-β1 as a Biomarker for Type 2 Diabetic Nephropathy: A Meta-Analysis of Randomized Controlled Trials |
title_full_unstemmed | Serum TGF-β1 as a Biomarker for Type 2 Diabetic Nephropathy: A Meta-Analysis of Randomized Controlled Trials |
title_short | Serum TGF-β1 as a Biomarker for Type 2 Diabetic Nephropathy: A Meta-Analysis of Randomized Controlled Trials |
title_sort | serum tgf-β1 as a biomarker for type 2 diabetic nephropathy: a meta-analysis of randomized controlled trials |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4764759/ https://www.ncbi.nlm.nih.gov/pubmed/26901047 http://dx.doi.org/10.1371/journal.pone.0149513 |
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