Changes of microbiota level in urinary tract infections: A meta-analysis
No consensus has been reached on the dysbiosis signs of microbiota in patients with urinary tract infections (UTIs). This meta-analysis aimed to verify the relationship between microbiota levels and UTIs. PubMed, Web of Science, and Embase databases were retrieved for related articles published from...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
De Gruyter
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10224615/ https://www.ncbi.nlm.nih.gov/pubmed/37251539 http://dx.doi.org/10.1515/med-2023-0702 |
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author | Weng, Xia Liu, Yajun Hu, Haiping Wang, Meichai Huang, Xiaoqin |
author_facet | Weng, Xia Liu, Yajun Hu, Haiping Wang, Meichai Huang, Xiaoqin |
author_sort | Weng, Xia |
collection | PubMed |
description | No consensus has been reached on the dysbiosis signs of microbiota in patients with urinary tract infections (UTIs). This meta-analysis aimed to verify the relationship between microbiota levels and UTIs. PubMed, Web of Science, and Embase databases were retrieved for related articles published from inception until October 20, 2021. The standardized mean difference (SMD) and its related 95% confidence intervals (CIs) of the microbiota diversity and abundance were pooled under a random-effects model. Twelve studies were included in this meta-analysis. The pooled analysis revealed that the microbiota diversity was lower in patients with UTIs than in healthy individuals (SMD = −0.655, 95% CI = −1.290, −0.021, I (2) = 81.0%, P = 0.043). The abundance of specific bacteria was higher in UTI subjects compared with healthy control individuals (SMD = 0.41, 95% CI = 0.07–0.74, P = 0.017), especially in North America patients with UTIs. Similar results were also found in studies with the total sample size being greater than 30. Importantly, Escherichia coli levels were increased in patients with UTI, whereas Lactobacillus levels decreased. E. coli and Lactobacilli have huge prospects as potential microbiota markers in the treatment of UTIs. |
format | Online Article Text |
id | pubmed-10224615 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | De Gruyter |
record_format | MEDLINE/PubMed |
spelling | pubmed-102246152023-05-28 Changes of microbiota level in urinary tract infections: A meta-analysis Weng, Xia Liu, Yajun Hu, Haiping Wang, Meichai Huang, Xiaoqin Open Med (Wars) Research Article No consensus has been reached on the dysbiosis signs of microbiota in patients with urinary tract infections (UTIs). This meta-analysis aimed to verify the relationship between microbiota levels and UTIs. PubMed, Web of Science, and Embase databases were retrieved for related articles published from inception until October 20, 2021. The standardized mean difference (SMD) and its related 95% confidence intervals (CIs) of the microbiota diversity and abundance were pooled under a random-effects model. Twelve studies were included in this meta-analysis. The pooled analysis revealed that the microbiota diversity was lower in patients with UTIs than in healthy individuals (SMD = −0.655, 95% CI = −1.290, −0.021, I (2) = 81.0%, P = 0.043). The abundance of specific bacteria was higher in UTI subjects compared with healthy control individuals (SMD = 0.41, 95% CI = 0.07–0.74, P = 0.017), especially in North America patients with UTIs. Similar results were also found in studies with the total sample size being greater than 30. Importantly, Escherichia coli levels were increased in patients with UTI, whereas Lactobacillus levels decreased. E. coli and Lactobacilli have huge prospects as potential microbiota markers in the treatment of UTIs. De Gruyter 2023-05-26 /pmc/articles/PMC10224615/ /pubmed/37251539 http://dx.doi.org/10.1515/med-2023-0702 Text en © 2023 the author(s), published by De Gruyter https://creativecommons.org/licenses/by/4.0/This work is licensed under the Creative Commons Attribution 4.0 International License. |
spellingShingle | Research Article Weng, Xia Liu, Yajun Hu, Haiping Wang, Meichai Huang, Xiaoqin Changes of microbiota level in urinary tract infections: A meta-analysis |
title | Changes of microbiota level in urinary tract infections: A meta-analysis |
title_full | Changes of microbiota level in urinary tract infections: A meta-analysis |
title_fullStr | Changes of microbiota level in urinary tract infections: A meta-analysis |
title_full_unstemmed | Changes of microbiota level in urinary tract infections: A meta-analysis |
title_short | Changes of microbiota level in urinary tract infections: A meta-analysis |
title_sort | changes of microbiota level in urinary tract infections: a meta-analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10224615/ https://www.ncbi.nlm.nih.gov/pubmed/37251539 http://dx.doi.org/10.1515/med-2023-0702 |
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