Identifying potential biomarkers of Ferroptosis for Osteoporosis based on using TMT proteomics and bioinformatics analysis

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Abstract Background: primary osteoporosis has increasingly become a major problem affecting human health, and its specific pathogenic mechanism is complex. Ferroptosis,as a research hotspot, has found play an important role in the pathogenesis of primary osteoporosis, in order to explore the connection and specific target genes between Ferroptosis and primary osteoporosis . Methods:We used TMT proteomics and bioinformatics analysis to elucidate the connection and key targets of the Ferroptosis pathway in the Ovariectomized osteoporosis rat model.Forty 12-week-old female SD rats were used in the study, 20 rats were ovariectomized as the OVX group and 20 rats as the SHAM group , after the rats were sacrificed, and left femur of rat was removed for computerized tomography testing, and right femurs were used for hematoxylin and eosin staining. Finally, we extract bone tissue protein for TMT proteomics analysis and western spotting verification. Results:The proteomic results of the OVX and SHAM groups showed that 133 proteins were significantly changed, of which 91 were up-regulated proteins and 42 were down-regulated proteins, TXN, TMSB4X, TFRC, TF, RELA, PARP14, CP, CAPG, and ADIPOQ. The expression of key proteins in bone tissue was detected by Western blotting.TFR1 and TF expression were upregulated, and the expression levels in Cp and BMP-2 were downregulated. Conclusions: The TMT proteomics and functional enrichment analyses in our study confirmed that in osteoporosis, lipid metabolism is disturbed causing the appearance of oxidative stress accompanied by an imbalance in iron homeostasis.
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Identifying potential biomarkers of Ferroptosis for Osteoporosis based on using TMT proteomics and bioinformatics analysis | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Identifying potential biomarkers of Ferroptosis for Osteoporosis based on using TMT proteomics and bioinformatics analysis Hui su, Haipeng Xue, WenXuan Guo, jinsheng Yu, Zhanwang Xu, Rujie Zhuang, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3871473/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 23 Nov, 2024 Read the published version in BioMedical Engineering OnLine → Version 1 posted 9 You are reading this latest preprint version Abstract Background: primary osteoporosis has increasingly become a major problem affecting human health, and its specific pathogenic mechanism is complex. Ferroptosis,as a research hotspot, has found play an important role in the pathogenesis of primary osteoporosis, in order to explore the connection and specific target genes between Ferroptosis and primary osteoporosis . Methods: We used TMT proteomics and bioinformatics analysis to elucidate the connection and key targets of the Ferroptosis pathway in the Ovariectomized osteoporosis rat model.Forty 12-week-old female SD rats were used in the study, 20 rats were ovariectomized as the OVX group and 20 rats as the SHAM group , after the rats were sacrificed, and left femur of rat was removed for computerized tomography testing, and right femurs were used for hematoxylin and eosin staining. Finally, we extract bone tissue protein for TMT proteomics analysis and western spotting verification. Results: The proteomic results of the OVX and SHAM groups showed that 133 proteins were significantly changed, of which 91 were up-regulated proteins and 42 were down-regulated proteins, TXN, TMSB4X, TFRC, TF, RELA, PARP14, CP, CAPG, and ADIPOQ. The expression of key proteins in bone tissue was detected by Western blotting.TFR1 and TF expression were upregulated, and the expression levels in Cp and BMP-2 were downregulated. Conclusions: The TMT proteomics and functional enrichment analyses in our study confirmed that in osteoporosis, lipid metabolism is disturbed causing the appearance of oxidative stress accompanied by an imbalance in iron homeostasis. potential biomarkers Ferroptosis༛Osteoporosis༛TMT proteomics Full Text Additional Declarations No competing interests reported. Supplementary Files CT.zip ELISA.zip HEstaining.zip Prussianbluestaining.zip RAWDATA.zip TRAPstaining.zip WB.zip gene.zip Cite Share Download PDF Status: Published Journal Publication published 23 Nov, 2024 Read the published version in BioMedical Engineering OnLine → Version 1 posted Editorial decision: Revision requested 20 Jul, 2024 Reviews received at journal 18 Jul, 2024 Reviewers agreed at journal 18 Jul, 2024 Reviews received at journal 13 Jun, 2024 Reviewers agreed at journal 30 May, 2024 Reviewers invited by journal 02 Apr, 2024 Editor assigned by journal 18 Jan, 2024 Submission checks completed at journal 18 Jan, 2024 First submitted to journal 16 Jan, 2024 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. 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