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Journal of Zhejiang University SCIENCE B
ISSN 1673-1581(Print), 1862-1783(Online), Monthly
2022 Vol.23 No.12 P.1002-1013
Changes in the gut microbiota of osteoporosis patients based on 16S rRNA gene sequencing: a systematic review and meta-analysis
Abstract: BackgroundOsteoporosis (OP) has become a major public health issue, threatening the bone health of middle-aged and elderly people from all around the world. Changes in the gut microbiota (GM) are correlated with the maintenance of bone mass and bone quality. However, research results in this field remain highly controversial, and no systematic review or meta-analysis of the relationship between GM and OP has been conducted. This paper addresses this shortcoming, focusing on the difference in the GM abundance between OP patients and healthy controls based on previous 16S ribosomal RNA (rRNA) gene sequencing results, in order to provide new clinical reference information for future customized prevention and treatment options of OP.
MethodsAccording to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), we comprehensively searched the databases of PubMed, Web of Science, Embase, Cochrane Library, and China National Knowledge Infrastructure (CNKI). In addition, we applied the R programming language version 4.0.3 and Stata 15.1 software for data analysis. We also implemented the Newcastle-Ottawa Scale (NOS), funnel plot analysis, sensitivity analysis, Egger’s test, and Begg’s test to assess the risk of bias.
ResultsThis research ultimately considered 12 studies, which included the fecal GM data of 2033 people (604 with OP and 1429 healthy controls). In the included research papers, it was observed that the relative abundance of Lactobacillus and Ruminococcus increased in the OP group, while the relative abundance for Bacteroides of Bacteroidetes increased (except for Ireland). Meanwhile, Firmicutes, Blautia, Alistipes, Megamonas, and Anaerostipes showed reduced relative abundance in Chinese studies. In the linear discriminant analysis Effect Size (LEfSe) analysis, certain bacteria showed statistically significant results consistently across different studies.
ConclusionsThis observational meta-analysis revealed that changes in the GM were correlated with OP, and variations in some advantageous GM might involve regional differences.
Key words: Osteoporosis; Microbiome; Intestinal; 16S ribosomal RNA (rRNA) sequencing
1山东工商学院信息与电子工程学院，中国烟台市，264005
2山东工商学院计算机科学与技术学院，中国烟台市，264005
3山东工商学院山东省高等学校未来智能计算协同创新中心，中国烟台市，264005
4山东财经大学计算机科学与技术学院，中国济南市，250014
摘要：在低光环境下拍摄的图像质量不佳，影响其进一步应用。为提升低光图像可视性，提出一种基于过滤-群聚注意力（FCA）的递归网络，其中主体由3个单元组成：差异关注、门控递归以及迭代残差。该网络对低光图像进行多阶段递归学习，进而提取更深层次特征信息。为算得更加精确的相关性，设计了一种关注特征通道突出性的FCA。FCA与自注意力被用以突出特征的低光区域与重要通道。此外，设计了密集连接金字塔（DenCP）来提取低光反转图的色彩特征，使图像的色彩信息损失得以补偿。在6种公开数据集上的实验结果表明，本文方法在视觉和指标上有着突出表现。
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DOI:
10.1631/jzus.B2200344
CLC number:
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On-line Access:
2022-12-15
Received:
2022-06-29
Revision Accepted:
2022-08-11
Crosschecked:
2022-12-15