Olink and gut microbial metabolomics reveal new biomarkers for the prediction and diagnosis of PMOP
lntroduction Postmenopausal osteoporosis (PMOP) can cause postmenopausal women to experience pain and interference. Identifying and exploring potential early diagnostic biomarkers of PMOP is of substantial clinical value and social significance. This study aimed to screen for potential novel diagnos...
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| Veröffentlicht in: | Journal of bone and mineral metabolism 2024-09, Vol.42 (5), p.503-515 |
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| container_title | Journal of bone and mineral metabolism |
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| creator | Wu, Ruizhe Wu, Jie Jin, Hui Ma, Huaiyu Huang, Hongxing Xu, Wuji Sun, Shaoqiu Liu, Xiaolan Dong, Kefang Xie, Yisong Zeng, Jingqi Wang, Fan |
| description | lntroduction
Postmenopausal osteoporosis (PMOP) can cause postmenopausal women to experience pain and interference. Identifying and exploring potential early diagnostic biomarkers of PMOP is of substantial clinical value and social significance. This study aimed to screen for potential novel diagnostic biomarkers of PMOP through a multiomics approach, providing new directions and ideas for the early prevention and treatment of this disease.
Materials and Methods
Fifteen postmenopausal women with osteoporosis and 12 without were recruited. Clinical information was collected, and various clinical biochemical parameters were tested. Plasma and fecal samples were collected and analyzed using Olink proteomics and gut microbial metabolomics.
Results
The functions of the differentially abundant metabolites were mainly related to autophagy and arginine and proline metabolism and were involved in immunoinflammatory metabolic processes. Olink showed significant differences in the expression of seven inflammation-related proteins between the two groups.
Conclusion
We demonstrated that metabolic differences between PMOP patients and healthy controls were associated with inflammatory responses and found seven proteins with significant differences. Among these proteins, CDCP1, IL10, and IL-1alpha combined with clinical indicators had high discriminant efficiency in identifying PMOP. This is also the first study to demonstrate noteworthy changes in CDCP1 levels in patients with PMOP. |
| doi_str_mv | 10.1007/s00774-024-01545-z |
| format | Article |
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Postmenopausal osteoporosis (PMOP) can cause postmenopausal women to experience pain and interference. Identifying and exploring potential early diagnostic biomarkers of PMOP is of substantial clinical value and social significance. This study aimed to screen for potential novel diagnostic biomarkers of PMOP through a multiomics approach, providing new directions and ideas for the early prevention and treatment of this disease.
Materials and Methods
Fifteen postmenopausal women with osteoporosis and 12 without were recruited. Clinical information was collected, and various clinical biochemical parameters were tested. Plasma and fecal samples were collected and analyzed using Olink proteomics and gut microbial metabolomics.
Results
The functions of the differentially abundant metabolites were mainly related to autophagy and arginine and proline metabolism and were involved in immunoinflammatory metabolic processes. Olink showed significant differences in the expression of seven inflammation-related proteins between the two groups.
Conclusion
We demonstrated that metabolic differences between PMOP patients and healthy controls were associated with inflammatory responses and found seven proteins with significant differences. Among these proteins, CDCP1, IL10, and IL-1alpha combined with clinical indicators had high discriminant efficiency in identifying PMOP. This is also the first study to demonstrate noteworthy changes in CDCP1 levels in patients with PMOP.</description><identifier>ISSN: 0914-8779</identifier><identifier>ISSN: 1435-5604</identifier><identifier>EISSN: 1435-5604</identifier><identifier>DOI: 10.1007/s00774-024-01545-z</identifier><identifier>PMID: 39153113</identifier><language>eng</language><publisher>Singapore: Springer Nature Singapore</publisher><subject>Aged ; Autophagy ; Biomarkers ; Biomarkers - blood ; Biomarkers - metabolism ; Early experience ; Feces ; Feces - chemistry ; Feces - microbiology ; Female ; Gastrointestinal Microbiome - physiology ; Humans ; Interleukin-10 - blood ; Interleukin-10 - metabolism ; Interleukin-1alpha - blood ; Interleukin-1alpha - metabolism ; Medicine ; Medicine & Public Health ; Metabolic Diseases ; Metabolism ; Metabolites ; Metabolomics ; Metabolomics - methods ; Middle Aged ; Original Article ; Orthopedics ; Osteoporosis ; Patients ; Post-menopause ; Postmenopause - blood ; Postmenopause - metabolism ; Proteins ; Proteomics ; Proteomics - methods</subject><ispartof>Journal of bone and mineral metabolism, 2024-09, Vol.42 (5), p.503-515</ispartof><rights>The Japanese Society Bone and Mineral Research 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>2024. The Japanese Society Bone and Mineral Research.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c256t-b22ef913f4a6733c8bc4df80547a5913b68f6618da18c2a2412198a944f311f83</cites><orcidid>0009-0000-1445-8053</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00774-024-01545-z$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00774-024-01545-z$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39153113$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wu, Ruizhe</creatorcontrib><creatorcontrib>Wu, Jie</creatorcontrib><creatorcontrib>Jin, Hui</creatorcontrib><creatorcontrib>Ma, Huaiyu</creatorcontrib><creatorcontrib>Huang, Hongxing</creatorcontrib><creatorcontrib>Xu, Wuji</creatorcontrib><creatorcontrib>Sun, Shaoqiu</creatorcontrib><creatorcontrib>Liu, Xiaolan</creatorcontrib><creatorcontrib>Dong, Kefang</creatorcontrib><creatorcontrib>Xie, Yisong</creatorcontrib><creatorcontrib>Zeng, Jingqi</creatorcontrib><creatorcontrib>Wang, Fan</creatorcontrib><title>Olink and gut microbial metabolomics reveal new biomarkers for the prediction and diagnosis of PMOP</title><title>Journal of bone and mineral metabolism</title><addtitle>J Bone Miner Metab</addtitle><addtitle>J Bone Miner Metab</addtitle><description>lntroduction
Postmenopausal osteoporosis (PMOP) can cause postmenopausal women to experience pain and interference. Identifying and exploring potential early diagnostic biomarkers of PMOP is of substantial clinical value and social significance. This study aimed to screen for potential novel diagnostic biomarkers of PMOP through a multiomics approach, providing new directions and ideas for the early prevention and treatment of this disease.
Materials and Methods
Fifteen postmenopausal women with osteoporosis and 12 without were recruited. Clinical information was collected, and various clinical biochemical parameters were tested. Plasma and fecal samples were collected and analyzed using Olink proteomics and gut microbial metabolomics.
Results
The functions of the differentially abundant metabolites were mainly related to autophagy and arginine and proline metabolism and were involved in immunoinflammatory metabolic processes. Olink showed significant differences in the expression of seven inflammation-related proteins between the two groups.
Conclusion
We demonstrated that metabolic differences between PMOP patients and healthy controls were associated with inflammatory responses and found seven proteins with significant differences. Among these proteins, CDCP1, IL10, and IL-1alpha combined with clinical indicators had high discriminant efficiency in identifying PMOP. This is also the first study to demonstrate noteworthy changes in CDCP1 levels in patients with PMOP.</description><subject>Aged</subject><subject>Autophagy</subject><subject>Biomarkers</subject><subject>Biomarkers - blood</subject><subject>Biomarkers - metabolism</subject><subject>Early experience</subject><subject>Feces</subject><subject>Feces - chemistry</subject><subject>Feces - microbiology</subject><subject>Female</subject><subject>Gastrointestinal Microbiome - physiology</subject><subject>Humans</subject><subject>Interleukin-10 - blood</subject><subject>Interleukin-10 - metabolism</subject><subject>Interleukin-1alpha - blood</subject><subject>Interleukin-1alpha - metabolism</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Metabolic Diseases</subject><subject>Metabolism</subject><subject>Metabolites</subject><subject>Metabolomics</subject><subject>Metabolomics - methods</subject><subject>Middle Aged</subject><subject>Original Article</subject><subject>Orthopedics</subject><subject>Osteoporosis</subject><subject>Patients</subject><subject>Post-menopause</subject><subject>Postmenopause - blood</subject><subject>Postmenopause - metabolism</subject><subject>Proteins</subject><subject>Proteomics</subject><subject>Proteomics - methods</subject><issn>0914-8779</issn><issn>1435-5604</issn><issn>1435-5604</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9Uc1O3DAYtFBRd1n6Aj1UlnrhkuLPP7FzRKgFJNBygLPlJPZiNokXO6EqT1_vLrQSBw62pfF8Y88MQl-B_ABC5GnKm-QFoXmB4KJ4OUBz4EwUoiT8E5qTCnihpKxm6CilR0JACgmf0YxVIBgAm6Nm2flhjc3Q4tU04t43MdTedLi3o6lDFzKScLTPNmOD_Y1rH3oT1zYm7ELE44PFm2hb34w-DDud1pvVEJJPODh8e7O8PUaHznTJfnk9F-j-18-788vienlxdX52XTRUlGNRU2pdBcxxU0rGGlU3vHWKCC6NyHhdKleWoFoDqqGGcqBQKVNx7rIXp9gCnex1NzE8TTaNuvepsV1nBhumpBmpOOECsvEF-v6O-himOOTf6W0uoASVIrPonpVDSSlapzfRZ_d_NBC9rUDvK9C5Ar2rQL_koW-v0lPd2_bfyFvmmcD2hJSvhpWN_9_-QPYvBXiQ4w</recordid><startdate>20240901</startdate><enddate>20240901</enddate><creator>Wu, Ruizhe</creator><creator>Wu, Jie</creator><creator>Jin, Hui</creator><creator>Ma, Huaiyu</creator><creator>Huang, Hongxing</creator><creator>Xu, Wuji</creator><creator>Sun, Shaoqiu</creator><creator>Liu, Xiaolan</creator><creator>Dong, Kefang</creator><creator>Xie, Yisong</creator><creator>Zeng, Jingqi</creator><creator>Wang, Fan</creator><general>Springer Nature Singapore</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QP</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope><orcidid>https://orcid.org/0009-0000-1445-8053</orcidid></search><sort><creationdate>20240901</creationdate><title>Olink and gut microbial metabolomics reveal new biomarkers for the prediction and diagnosis of PMOP</title><author>Wu, Ruizhe ; Wu, Jie ; Jin, Hui ; Ma, Huaiyu ; Huang, Hongxing ; Xu, Wuji ; Sun, Shaoqiu ; Liu, Xiaolan ; Dong, Kefang ; Xie, Yisong ; Zeng, Jingqi ; Wang, Fan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c256t-b22ef913f4a6733c8bc4df80547a5913b68f6618da18c2a2412198a944f311f83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Aged</topic><topic>Autophagy</topic><topic>Biomarkers</topic><topic>Biomarkers - blood</topic><topic>Biomarkers - metabolism</topic><topic>Early experience</topic><topic>Feces</topic><topic>Feces - chemistry</topic><topic>Feces - microbiology</topic><topic>Female</topic><topic>Gastrointestinal Microbiome - physiology</topic><topic>Humans</topic><topic>Interleukin-10 - blood</topic><topic>Interleukin-10 - metabolism</topic><topic>Interleukin-1alpha - blood</topic><topic>Interleukin-1alpha - metabolism</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Metabolic Diseases</topic><topic>Metabolism</topic><topic>Metabolites</topic><topic>Metabolomics</topic><topic>Metabolomics - methods</topic><topic>Middle Aged</topic><topic>Original Article</topic><topic>Orthopedics</topic><topic>Osteoporosis</topic><topic>Patients</topic><topic>Post-menopause</topic><topic>Postmenopause - blood</topic><topic>Postmenopause - metabolism</topic><topic>Proteins</topic><topic>Proteomics</topic><topic>Proteomics - methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wu, Ruizhe</creatorcontrib><creatorcontrib>Wu, Jie</creatorcontrib><creatorcontrib>Jin, Hui</creatorcontrib><creatorcontrib>Ma, Huaiyu</creatorcontrib><creatorcontrib>Huang, Hongxing</creatorcontrib><creatorcontrib>Xu, Wuji</creatorcontrib><creatorcontrib>Sun, Shaoqiu</creatorcontrib><creatorcontrib>Liu, Xiaolan</creatorcontrib><creatorcontrib>Dong, Kefang</creatorcontrib><creatorcontrib>Xie, Yisong</creatorcontrib><creatorcontrib>Zeng, Jingqi</creatorcontrib><creatorcontrib>Wang, Fan</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of bone and mineral metabolism</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wu, Ruizhe</au><au>Wu, Jie</au><au>Jin, Hui</au><au>Ma, Huaiyu</au><au>Huang, Hongxing</au><au>Xu, Wuji</au><au>Sun, Shaoqiu</au><au>Liu, Xiaolan</au><au>Dong, Kefang</au><au>Xie, Yisong</au><au>Zeng, Jingqi</au><au>Wang, Fan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Olink and gut microbial metabolomics reveal new biomarkers for the prediction and diagnosis of PMOP</atitle><jtitle>Journal of bone and mineral metabolism</jtitle><stitle>J Bone Miner Metab</stitle><addtitle>J Bone Miner Metab</addtitle><date>2024-09-01</date><risdate>2024</risdate><volume>42</volume><issue>5</issue><spage>503</spage><epage>515</epage><pages>503-515</pages><issn>0914-8779</issn><issn>1435-5604</issn><eissn>1435-5604</eissn><abstract>lntroduction
Postmenopausal osteoporosis (PMOP) can cause postmenopausal women to experience pain and interference. Identifying and exploring potential early diagnostic biomarkers of PMOP is of substantial clinical value and social significance. This study aimed to screen for potential novel diagnostic biomarkers of PMOP through a multiomics approach, providing new directions and ideas for the early prevention and treatment of this disease.
Materials and Methods
Fifteen postmenopausal women with osteoporosis and 12 without were recruited. Clinical information was collected, and various clinical biochemical parameters were tested. Plasma and fecal samples were collected and analyzed using Olink proteomics and gut microbial metabolomics.
Results
The functions of the differentially abundant metabolites were mainly related to autophagy and arginine and proline metabolism and were involved in immunoinflammatory metabolic processes. Olink showed significant differences in the expression of seven inflammation-related proteins between the two groups.
Conclusion
We demonstrated that metabolic differences between PMOP patients and healthy controls were associated with inflammatory responses and found seven proteins with significant differences. Among these proteins, CDCP1, IL10, and IL-1alpha combined with clinical indicators had high discriminant efficiency in identifying PMOP. This is also the first study to demonstrate noteworthy changes in CDCP1 levels in patients with PMOP.</abstract><cop>Singapore</cop><pub>Springer Nature Singapore</pub><pmid>39153113</pmid><doi>10.1007/s00774-024-01545-z</doi><tpages>13</tpages><orcidid>https://orcid.org/0009-0000-1445-8053</orcidid></addata></record> |
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| subjects | Aged Autophagy Biomarkers Biomarkers - blood Biomarkers - metabolism Early experience Feces Feces - chemistry Feces - microbiology Female Gastrointestinal Microbiome - physiology Humans Interleukin-10 - blood Interleukin-10 - metabolism Interleukin-1alpha - blood Interleukin-1alpha - metabolism Medicine Medicine & Public Health Metabolic Diseases Metabolism Metabolites Metabolomics Metabolomics - methods Middle Aged Original Article Orthopedics Osteoporosis Patients Post-menopause Postmenopause - blood Postmenopause - metabolism Proteins Proteomics Proteomics - methods |
| title | Olink and gut microbial metabolomics reveal new biomarkers for the prediction and diagnosis of PMOP |
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