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Bone-Metabolism-Related Serum microRNAs to Diagnose Osteoporosis in Middle-Aged and Elderly Women
: Postmenopausal osteoporosis (PMOP), a chronic systemic metabolic disease prevalent in middle-aged and elderly women, heavily relies on bone mineral density (BMD) measurement as the diagnostic indicator. In this study, we investigated serum microRNAs (miRNAs) as a possible screening tool for PMOP....
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Published in: | Diagnostics (Basel) 2022-11, Vol.12 (11), p.2872 |
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description | : Postmenopausal osteoporosis (PMOP), a chronic systemic metabolic disease prevalent in middle-aged and elderly women, heavily relies on bone mineral density (BMD) measurement as the diagnostic indicator. In this study, we investigated serum microRNAs (miRNAs) as a possible screening tool for PMOP.
: This investigation recruited 83 eligible participants from 795 community-dwelling postmenopausal women between June 2020 and August 2021. The miRNA expression profiles in the serum of PMOP patients were evaluated via miRNA microarray (six PMOP patients and four postmenopausal women without osteoporosis (n-PMOP) as controls). Subsequently, results were verified in independent sample sets (47 PMOP patients and 26 n-PMOP controls) using quantitative real-time PCR. In addition, the target genes and main functions of the differentially expressed miRNAs were explored by bioinformatics analysis.
: Four highly expressed miRNAs in the serum of patients (hsa-miR-144-5p, hsa-miR-506-3p, hsa-miR-8068, and hsa-miR-6851-3p) showed acceptable disease-independent discrimination performance (area under the curve range: 0.747-0.902) in the training set and verification set, outperforming traditional bone turnover markers. Among four key miRNAs, hsa-miR-144-5p is the only one that can simultaneously predict changes in BMD in lumbar spine 1-4, total hip, and femoral neck (
= -0.265,
= 0.022;
= -0.301,
= 0.005; and
= -0.324,
= 0.003, respectively). Bioinformatics analysis suggested that the differentially expressed miRNAs were targeted mainly to
,
, and
genes, which are extensively involved in bone metabolism processes.
: Bone-metabolism-related serum miRNAs, such as hsa-miR-144-5p, hsa-miR-506-3p, hsa-miR-8068, and hsa-miR-6851-3p, can be used as novel biomarkers for PMOP diagnosis independent of radiological findings and traditional bone turnover markers. Further study of these miRNAs and their target genes may provide new insights into the epigenetic regulatory mechanisms of the onset and progression of the disease. |
doi_str_mv | 10.3390/diagnostics12112872 |
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: This investigation recruited 83 eligible participants from 795 community-dwelling postmenopausal women between June 2020 and August 2021. The miRNA expression profiles in the serum of PMOP patients were evaluated via miRNA microarray (six PMOP patients and four postmenopausal women without osteoporosis (n-PMOP) as controls). Subsequently, results were verified in independent sample sets (47 PMOP patients and 26 n-PMOP controls) using quantitative real-time PCR. In addition, the target genes and main functions of the differentially expressed miRNAs were explored by bioinformatics analysis.
: Four highly expressed miRNAs in the serum of patients (hsa-miR-144-5p, hsa-miR-506-3p, hsa-miR-8068, and hsa-miR-6851-3p) showed acceptable disease-independent discrimination performance (area under the curve range: 0.747-0.902) in the training set and verification set, outperforming traditional bone turnover markers. Among four key miRNAs, hsa-miR-144-5p is the only one that can simultaneously predict changes in BMD in lumbar spine 1-4, total hip, and femoral neck (
= -0.265,
= 0.022;
= -0.301,
= 0.005; and
= -0.324,
= 0.003, respectively). Bioinformatics analysis suggested that the differentially expressed miRNAs were targeted mainly to
,
, and
genes, which are extensively involved in bone metabolism processes.
: Bone-metabolism-related serum miRNAs, such as hsa-miR-144-5p, hsa-miR-506-3p, hsa-miR-8068, and hsa-miR-6851-3p, can be used as novel biomarkers for PMOP diagnosis independent of radiological findings and traditional bone turnover markers. Further study of these miRNAs and their target genes may provide new insights into the epigenetic regulatory mechanisms of the onset and progression of the disease.</description><identifier>ISSN: 2075-4418</identifier><identifier>EISSN: 2075-4418</identifier><identifier>DOI: 10.3390/diagnostics12112872</identifier><identifier>PMID: 36428932</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Aged women ; Biomarkers ; Bones ; Demographic aspects ; Diabetes ; Diagnosis ; Disease ; Epigenetics ; Estrogens ; Fractures ; Gene expression ; Genetic aspects ; Health aspects ; Hybridization ; Metabolism ; MicroRNA ; MicroRNAs ; Middle age ; Middle aged women ; Older people ; Online data bases ; Osteoporosis ; postmenopausal osteoporosis ; serum ; Womens health</subject><ispartof>Diagnostics (Basel), 2022-11, Vol.12 (11), p.2872</ispartof><rights>COPYRIGHT 2022 MDPI AG</rights><rights>2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2022 by the authors. 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c566t-474f69bf24f7aee105da4be39e469b1d68a2801984c2d2cef76c0965a41fd4ec3</citedby><cites>FETCH-LOGICAL-c566t-474f69bf24f7aee105da4be39e469b1d68a2801984c2d2cef76c0965a41fd4ec3</cites><orcidid>0000-0003-3247-8255 ; 0000-0001-9724-3356 ; 0000-0002-1008-8072</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2748278685/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2748278685?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36428932$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zhao, Sheng-Li</creatorcontrib><creatorcontrib>Wen, Zhen-Xing</creatorcontrib><creatorcontrib>Mo, Xiao-Yi</creatorcontrib><creatorcontrib>Zhang, Xiao-Yan</creatorcontrib><creatorcontrib>Li, Hao-Nan</creatorcontrib><creatorcontrib>Cheung, Wing-Hoi</creatorcontrib><creatorcontrib>Fu, Dan</creatorcontrib><creatorcontrib>Zhang, Shi-Hong</creatorcontrib><creatorcontrib>Wan, Yong</creatorcontrib><creatorcontrib>Chen, Bai-Ling</creatorcontrib><title>Bone-Metabolism-Related Serum microRNAs to Diagnose Osteoporosis in Middle-Aged and Elderly Women</title><title>Diagnostics (Basel)</title><addtitle>Diagnostics (Basel)</addtitle><description>: Postmenopausal osteoporosis (PMOP), a chronic systemic metabolic disease prevalent in middle-aged and elderly women, heavily relies on bone mineral density (BMD) measurement as the diagnostic indicator. In this study, we investigated serum microRNAs (miRNAs) as a possible screening tool for PMOP.
: This investigation recruited 83 eligible participants from 795 community-dwelling postmenopausal women between June 2020 and August 2021. The miRNA expression profiles in the serum of PMOP patients were evaluated via miRNA microarray (six PMOP patients and four postmenopausal women without osteoporosis (n-PMOP) as controls). Subsequently, results were verified in independent sample sets (47 PMOP patients and 26 n-PMOP controls) using quantitative real-time PCR. In addition, the target genes and main functions of the differentially expressed miRNAs were explored by bioinformatics analysis.
: Four highly expressed miRNAs in the serum of patients (hsa-miR-144-5p, hsa-miR-506-3p, hsa-miR-8068, and hsa-miR-6851-3p) showed acceptable disease-independent discrimination performance (area under the curve range: 0.747-0.902) in the training set and verification set, outperforming traditional bone turnover markers. Among four key miRNAs, hsa-miR-144-5p is the only one that can simultaneously predict changes in BMD in lumbar spine 1-4, total hip, and femoral neck (
= -0.265,
= 0.022;
= -0.301,
= 0.005; and
= -0.324,
= 0.003, respectively). Bioinformatics analysis suggested that the differentially expressed miRNAs were targeted mainly to
,
, and
genes, which are extensively involved in bone metabolism processes.
: Bone-metabolism-related serum miRNAs, such as hsa-miR-144-5p, hsa-miR-506-3p, hsa-miR-8068, and hsa-miR-6851-3p, can be used as novel biomarkers for PMOP diagnosis independent of radiological findings and traditional bone turnover markers. Further study of these miRNAs and their target genes may provide new insights into the epigenetic regulatory mechanisms of the onset and progression of the disease.</description><subject>Aged women</subject><subject>Biomarkers</subject><subject>Bones</subject><subject>Demographic aspects</subject><subject>Diabetes</subject><subject>Diagnosis</subject><subject>Disease</subject><subject>Epigenetics</subject><subject>Estrogens</subject><subject>Fractures</subject><subject>Gene expression</subject><subject>Genetic aspects</subject><subject>Health aspects</subject><subject>Hybridization</subject><subject>Metabolism</subject><subject>MicroRNA</subject><subject>MicroRNAs</subject><subject>Middle age</subject><subject>Middle aged women</subject><subject>Older people</subject><subject>Online data bases</subject><subject>Osteoporosis</subject><subject>postmenopausal osteoporosis</subject><subject>serum</subject><subject>Womens health</subject><issn>2075-4418</issn><issn>2075-4418</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptUl1rFTEQXUSxpfYXCLLgiy9b87mbvAjXWrXQWqiKjyGbTNZcdpPbZFfovzfXW2uvNHnIMDnnDHNmquolRieUSvTWej2EmGdvMiYYE9GRJ9UhQR1vGMPi6YP4oDrOeY3KkZgKwp9XB7RlREhKDiv9PgZoLmHWfRx9npprGPUMtv4KaZnqyZsUr7-scj3H-sOuJtRXeYa4iSlmn2sf6ktv7QjNaig8HWx9NlpI4239I04QXlTPnB4zHN-9R9X3j2ffTj83F1efzk9XF43hbTs3rGOulb0jzHUaACNuNeuBSmAljW0rNBEIS8EMscSA61qDZMs1w84yMPSoOt_p2qjXapP8pNOtitqrP4mYBqVT8WsE5UAIJ5nj3EiGHPSYO-qY6zstHQNZtN7ttDZLP4E1EOakxz3R_Z_gf6oh_lKyLbZiVATe3AmkeLNAntXks4Fx1AHikhXpGOKIYdoW6Ov_oOu4pFCs2qIE6UQr-D_UoEsDPrhY6pqtqFp1jHOEBBEFdfIIqlwLZZJl0s6X_B6B7ghlzDkncPc9YqS2i6YeWbTCevXQnnvO37WivwHICtEe</recordid><startdate>20221101</startdate><enddate>20221101</enddate><creator>Zhao, Sheng-Li</creator><creator>Wen, Zhen-Xing</creator><creator>Mo, Xiao-Yi</creator><creator>Zhang, Xiao-Yan</creator><creator>Li, Hao-Nan</creator><creator>Cheung, Wing-Hoi</creator><creator>Fu, Dan</creator><creator>Zhang, Shi-Hong</creator><creator>Wan, Yong</creator><creator>Chen, Bai-Ling</creator><general>MDPI AG</general><general>MDPI</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7XB</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>M2O</scope><scope>MBDVC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-3247-8255</orcidid><orcidid>https://orcid.org/0000-0001-9724-3356</orcidid><orcidid>https://orcid.org/0000-0002-1008-8072</orcidid></search><sort><creationdate>20221101</creationdate><title>Bone-Metabolism-Related Serum microRNAs to Diagnose Osteoporosis in Middle-Aged and Elderly Women</title><author>Zhao, Sheng-Li ; Wen, Zhen-Xing ; Mo, Xiao-Yi ; Zhang, Xiao-Yan ; Li, Hao-Nan ; Cheung, Wing-Hoi ; Fu, Dan ; Zhang, Shi-Hong ; Wan, Yong ; Chen, Bai-Ling</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c566t-474f69bf24f7aee105da4be39e469b1d68a2801984c2d2cef76c0965a41fd4ec3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Aged women</topic><topic>Biomarkers</topic><topic>Bones</topic><topic>Demographic aspects</topic><topic>Diabetes</topic><topic>Diagnosis</topic><topic>Disease</topic><topic>Epigenetics</topic><topic>Estrogens</topic><topic>Fractures</topic><topic>Gene expression</topic><topic>Genetic aspects</topic><topic>Health aspects</topic><topic>Hybridization</topic><topic>Metabolism</topic><topic>MicroRNA</topic><topic>MicroRNAs</topic><topic>Middle age</topic><topic>Middle aged women</topic><topic>Older people</topic><topic>Online data bases</topic><topic>Osteoporosis</topic><topic>postmenopausal osteoporosis</topic><topic>serum</topic><topic>Womens health</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhao, Sheng-Li</creatorcontrib><creatorcontrib>Wen, Zhen-Xing</creatorcontrib><creatorcontrib>Mo, Xiao-Yi</creatorcontrib><creatorcontrib>Zhang, Xiao-Yan</creatorcontrib><creatorcontrib>Li, Hao-Nan</creatorcontrib><creatorcontrib>Cheung, Wing-Hoi</creatorcontrib><creatorcontrib>Fu, Dan</creatorcontrib><creatorcontrib>Zhang, Shi-Hong</creatorcontrib><creatorcontrib>Wan, Yong</creatorcontrib><creatorcontrib>Chen, Bai-Ling</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>Research Library</collection><collection>Research Library (Corporate)</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJÂ Directory of Open Access Journals</collection><jtitle>Diagnostics (Basel)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhao, Sheng-Li</au><au>Wen, Zhen-Xing</au><au>Mo, Xiao-Yi</au><au>Zhang, Xiao-Yan</au><au>Li, Hao-Nan</au><au>Cheung, Wing-Hoi</au><au>Fu, Dan</au><au>Zhang, Shi-Hong</au><au>Wan, Yong</au><au>Chen, Bai-Ling</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Bone-Metabolism-Related Serum microRNAs to Diagnose Osteoporosis in Middle-Aged and Elderly Women</atitle><jtitle>Diagnostics (Basel)</jtitle><addtitle>Diagnostics (Basel)</addtitle><date>2022-11-01</date><risdate>2022</risdate><volume>12</volume><issue>11</issue><spage>2872</spage><pages>2872-</pages><issn>2075-4418</issn><eissn>2075-4418</eissn><abstract>: Postmenopausal osteoporosis (PMOP), a chronic systemic metabolic disease prevalent in middle-aged and elderly women, heavily relies on bone mineral density (BMD) measurement as the diagnostic indicator. In this study, we investigated serum microRNAs (miRNAs) as a possible screening tool for PMOP.
: This investigation recruited 83 eligible participants from 795 community-dwelling postmenopausal women between June 2020 and August 2021. The miRNA expression profiles in the serum of PMOP patients were evaluated via miRNA microarray (six PMOP patients and four postmenopausal women without osteoporosis (n-PMOP) as controls). Subsequently, results were verified in independent sample sets (47 PMOP patients and 26 n-PMOP controls) using quantitative real-time PCR. In addition, the target genes and main functions of the differentially expressed miRNAs were explored by bioinformatics analysis.
: Four highly expressed miRNAs in the serum of patients (hsa-miR-144-5p, hsa-miR-506-3p, hsa-miR-8068, and hsa-miR-6851-3p) showed acceptable disease-independent discrimination performance (area under the curve range: 0.747-0.902) in the training set and verification set, outperforming traditional bone turnover markers. Among four key miRNAs, hsa-miR-144-5p is the only one that can simultaneously predict changes in BMD in lumbar spine 1-4, total hip, and femoral neck (
= -0.265,
= 0.022;
= -0.301,
= 0.005; and
= -0.324,
= 0.003, respectively). Bioinformatics analysis suggested that the differentially expressed miRNAs were targeted mainly to
,
, and
genes, which are extensively involved in bone metabolism processes.
: Bone-metabolism-related serum miRNAs, such as hsa-miR-144-5p, hsa-miR-506-3p, hsa-miR-8068, and hsa-miR-6851-3p, can be used as novel biomarkers for PMOP diagnosis independent of radiological findings and traditional bone turnover markers. Further study of these miRNAs and their target genes may provide new insights into the epigenetic regulatory mechanisms of the onset and progression of the disease.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>36428932</pmid><doi>10.3390/diagnostics12112872</doi><orcidid>https://orcid.org/0000-0003-3247-8255</orcidid><orcidid>https://orcid.org/0000-0001-9724-3356</orcidid><orcidid>https://orcid.org/0000-0002-1008-8072</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Aged women Biomarkers Bones Demographic aspects Diabetes Diagnosis Disease Epigenetics Estrogens Fractures Gene expression Genetic aspects Health aspects Hybridization Metabolism MicroRNA MicroRNAs Middle age Middle aged women Older people Online data bases Osteoporosis postmenopausal osteoporosis serum Womens health |
title | Bone-Metabolism-Related Serum microRNAs to Diagnose Osteoporosis in Middle-Aged and Elderly Women |
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