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Association between ELMO1 gene polymorphisms and diabetic kidney disease: A systematic review and meta-analysis

BackgroundPrevious research has suggested that the ELMO1 gene may play a role in the development of diabetic kidney disease. Diabetic kidney disease (DKD) is a serious complication of diabetes and the leading cause of chronic kidney disease and end-stage renal disease (ESRD).Objective and rationaleT...

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Published in:PloS one 2024-01, Vol.19 (1), p.e0295607
Main Authors: Alireza Azarboo, Shaghayegh Hosseinkhani, Amirhossein Ghaseminejad-Raeini, Hossein Aazami, Sayed Mohammad Mohammadi, Saba Zeidi, Farideh Razi, Fatemeh Bandarian
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container_title PloS one
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creator Alireza Azarboo
Shaghayegh Hosseinkhani
Amirhossein Ghaseminejad-Raeini
Hossein Aazami
Sayed Mohammad Mohammadi
Saba Zeidi
Farideh Razi
Fatemeh Bandarian
description BackgroundPrevious research has suggested that the ELMO1 gene may play a role in the development of diabetic kidney disease. Diabetic kidney disease (DKD) is a serious complication of diabetes and the leading cause of chronic kidney disease and end-stage renal disease (ESRD).Objective and rationaleThis study aim was to systematically review and explore the association between ELMO1 gene polymorphisms and diabetic kidney disease. A comprehensive systematic review provides a clear conclusion and high-level evidence for the association between ELMO1 gene and DKD for future application in personalized medicine.MethodsA comprehensive search of electronic databases, per PRISMA instructions, was conducted in Scopus, EMBASE, Web of Science, and PubMed databases from 1980 to January 2023. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) were calculated using appropriate models. Subgroup and sensitivity analyses were performed to explore potential sources of heterogeneity and assess the robustness of the findings.ResultsA total of 5794 diabetes patients with DKD, 4886 diabetes patients without DKD, and 2023 healthy controls were included in the 17 studies that made up this systematic review. In the investigation of DM (Diabetes Mellitus) with DKD vs. DM without DKD, the susceptibility for DKD for the EMLO1 rs741301 polymorphism indicated a significant difference under the dominant, homozygote, and recessive genetic models. The susceptibility for DKD for the EMLO1 rs1345365, rs10255208, and rs7782979 polymorphisms demonstrated a significant difference under the allele genetic models in the analysis of DM with DKD vs. DM without DKD groups. There was a considerable increase in DKD risk in the Middle East when the population was stratified by the region.ConclusionThe findings of the meta-analysis show that there are a significant connection between the EMLO1 rs741301 polymorphism and DKD susceptibility in overall analyses; as well as rs1345365, rs10255208, and rs7782979 polymorphisms; especially in the Middle East region.
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Diabetic kidney disease (DKD) is a serious complication of diabetes and the leading cause of chronic kidney disease and end-stage renal disease (ESRD).Objective and rationaleThis study aim was to systematically review and explore the association between ELMO1 gene polymorphisms and diabetic kidney disease. A comprehensive systematic review provides a clear conclusion and high-level evidence for the association between ELMO1 gene and DKD for future application in personalized medicine.MethodsA comprehensive search of electronic databases, per PRISMA instructions, was conducted in Scopus, EMBASE, Web of Science, and PubMed databases from 1980 to January 2023. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) were calculated using appropriate models. Subgroup and sensitivity analyses were performed to explore potential sources of heterogeneity and assess the robustness of the findings.ResultsA total of 5794 diabetes patients with DKD, 4886 diabetes patients without DKD, and 2023 healthy controls were included in the 17 studies that made up this systematic review. In the investigation of DM (Diabetes Mellitus) with DKD vs. DM without DKD, the susceptibility for DKD for the EMLO1 rs741301 polymorphism indicated a significant difference under the dominant, homozygote, and recessive genetic models. The susceptibility for DKD for the EMLO1 rs1345365, rs10255208, and rs7782979 polymorphisms demonstrated a significant difference under the allele genetic models in the analysis of DM with DKD vs. DM without DKD groups. There was a considerable increase in DKD risk in the Middle East when the population was stratified by the region.ConclusionThe findings of the meta-analysis show that there are a significant connection between the EMLO1 rs741301 polymorphism and DKD susceptibility in overall analyses; as well as rs1345365, rs10255208, and rs7782979 polymorphisms; especially in the Middle East region.</description><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0295607</identifier><language>eng</language><publisher>Public Library of Science (PLoS)</publisher><ispartof>PloS one, 2024-01, Vol.19 (1), p.e0295607</ispartof><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Alireza Azarboo</creatorcontrib><creatorcontrib>Shaghayegh Hosseinkhani</creatorcontrib><creatorcontrib>Amirhossein Ghaseminejad-Raeini</creatorcontrib><creatorcontrib>Hossein Aazami</creatorcontrib><creatorcontrib>Sayed Mohammad Mohammadi</creatorcontrib><creatorcontrib>Saba Zeidi</creatorcontrib><creatorcontrib>Farideh Razi</creatorcontrib><creatorcontrib>Fatemeh Bandarian</creatorcontrib><title>Association between ELMO1 gene polymorphisms and diabetic kidney disease: A systematic review and meta-analysis</title><title>PloS one</title><description>BackgroundPrevious research has suggested that the ELMO1 gene may play a role in the development of diabetic kidney disease. Diabetic kidney disease (DKD) is a serious complication of diabetes and the leading cause of chronic kidney disease and end-stage renal disease (ESRD).Objective and rationaleThis study aim was to systematically review and explore the association between ELMO1 gene polymorphisms and diabetic kidney disease. A comprehensive systematic review provides a clear conclusion and high-level evidence for the association between ELMO1 gene and DKD for future application in personalized medicine.MethodsA comprehensive search of electronic databases, per PRISMA instructions, was conducted in Scopus, EMBASE, Web of Science, and PubMed databases from 1980 to January 2023. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) were calculated using appropriate models. Subgroup and sensitivity analyses were performed to explore potential sources of heterogeneity and assess the robustness of the findings.ResultsA total of 5794 diabetes patients with DKD, 4886 diabetes patients without DKD, and 2023 healthy controls were included in the 17 studies that made up this systematic review. In the investigation of DM (Diabetes Mellitus) with DKD vs. DM without DKD, the susceptibility for DKD for the EMLO1 rs741301 polymorphism indicated a significant difference under the dominant, homozygote, and recessive genetic models. The susceptibility for DKD for the EMLO1 rs1345365, rs10255208, and rs7782979 polymorphisms demonstrated a significant difference under the allele genetic models in the analysis of DM with DKD vs. DM without DKD groups. There was a considerable increase in DKD risk in the Middle East when the population was stratified by the region.ConclusionThe findings of the meta-analysis show that there are a significant connection between the EMLO1 rs741301 polymorphism and DKD susceptibility in overall analyses; as well as rs1345365, rs10255208, and rs7782979 polymorphisms; especially in the Middle East region.</description><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNqtTktOwzAQtZCQKJ8bsPAFEpyYOA27ChWBVMSGvTXOTItDYkeeQJXbEyqOwOrpffWEuC1UXui6uOviVwrQ52MMlKuyqYyqz8SqaHSZmVLpC3HJ3ClV6bUxKxE3zLH1MPkYpKPpSBTkdvf6VsgDBZJj7OchpvHD88ASAkr0sOR8Kz89BpoXzgRMD3IjeeaJBvg1E317Op4KA02QwfJpZs_X4nwPPdPNH16Jl6ft--NzhhE6OyY_QJptBG9PQkwHC2kZ7MmCQ42NQ6exvEfXAjbk9qidU6au1pX-z60fW9Furg</recordid><startdate>20240101</startdate><enddate>20240101</enddate><creator>Alireza Azarboo</creator><creator>Shaghayegh Hosseinkhani</creator><creator>Amirhossein Ghaseminejad-Raeini</creator><creator>Hossein Aazami</creator><creator>Sayed Mohammad Mohammadi</creator><creator>Saba Zeidi</creator><creator>Farideh Razi</creator><creator>Fatemeh Bandarian</creator><general>Public Library of Science (PLoS)</general><scope>DOA</scope></search><sort><creationdate>20240101</creationdate><title>Association between ELMO1 gene polymorphisms and diabetic kidney disease: A systematic review and meta-analysis</title><author>Alireza Azarboo ; Shaghayegh Hosseinkhani ; Amirhossein Ghaseminejad-Raeini ; Hossein Aazami ; Sayed Mohammad Mohammadi ; Saba Zeidi ; Farideh Razi ; Fatemeh Bandarian</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-doaj_primary_oai_doaj_org_article_abd3d9bdb3d24dbcad9ebfd3bb0675853</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Alireza Azarboo</creatorcontrib><creatorcontrib>Shaghayegh Hosseinkhani</creatorcontrib><creatorcontrib>Amirhossein Ghaseminejad-Raeini</creatorcontrib><creatorcontrib>Hossein Aazami</creatorcontrib><creatorcontrib>Sayed Mohammad Mohammadi</creatorcontrib><creatorcontrib>Saba Zeidi</creatorcontrib><creatorcontrib>Farideh Razi</creatorcontrib><creatorcontrib>Fatemeh Bandarian</creatorcontrib><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Alireza Azarboo</au><au>Shaghayegh Hosseinkhani</au><au>Amirhossein Ghaseminejad-Raeini</au><au>Hossein Aazami</au><au>Sayed Mohammad Mohammadi</au><au>Saba Zeidi</au><au>Farideh Razi</au><au>Fatemeh Bandarian</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Association between ELMO1 gene polymorphisms and diabetic kidney disease: A systematic review and meta-analysis</atitle><jtitle>PloS one</jtitle><date>2024-01-01</date><risdate>2024</risdate><volume>19</volume><issue>1</issue><spage>e0295607</spage><pages>e0295607-</pages><eissn>1932-6203</eissn><abstract>BackgroundPrevious research has suggested that the ELMO1 gene may play a role in the development of diabetic kidney disease. Diabetic kidney disease (DKD) is a serious complication of diabetes and the leading cause of chronic kidney disease and end-stage renal disease (ESRD).Objective and rationaleThis study aim was to systematically review and explore the association between ELMO1 gene polymorphisms and diabetic kidney disease. A comprehensive systematic review provides a clear conclusion and high-level evidence for the association between ELMO1 gene and DKD for future application in personalized medicine.MethodsA comprehensive search of electronic databases, per PRISMA instructions, was conducted in Scopus, EMBASE, Web of Science, and PubMed databases from 1980 to January 2023. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) were calculated using appropriate models. Subgroup and sensitivity analyses were performed to explore potential sources of heterogeneity and assess the robustness of the findings.ResultsA total of 5794 diabetes patients with DKD, 4886 diabetes patients without DKD, and 2023 healthy controls were included in the 17 studies that made up this systematic review. In the investigation of DM (Diabetes Mellitus) with DKD vs. DM without DKD, the susceptibility for DKD for the EMLO1 rs741301 polymorphism indicated a significant difference under the dominant, homozygote, and recessive genetic models. The susceptibility for DKD for the EMLO1 rs1345365, rs10255208, and rs7782979 polymorphisms demonstrated a significant difference under the allele genetic models in the analysis of DM with DKD vs. DM without DKD groups. There was a considerable increase in DKD risk in the Middle East when the population was stratified by the region.ConclusionThe findings of the meta-analysis show that there are a significant connection between the EMLO1 rs741301 polymorphism and DKD susceptibility in overall analyses; as well as rs1345365, rs10255208, and rs7782979 polymorphisms; especially in the Middle East region.</abstract><pub>Public Library of Science (PLoS)</pub><doi>10.1371/journal.pone.0295607</doi><oa>free_for_read</oa></addata></record>
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title Association between ELMO1 gene polymorphisms and diabetic kidney disease: A systematic review and meta-analysis
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