These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
228 related articles for article (PubMed ID: 36318345)
1. Feature selection approaches identify potential plasma metabolites in postmenopausal osteoporosis patients. Wang J; Wang Y; Zeng Y; Huang D Metabolomics; 2022 Nov; 18(11):86. PubMed ID: 36318345 [TBL] [Abstract][Full Text] [Related]
2. Discovery of potential biomarkers for osteoporosis using LC-MS/MS metabolomic methods. Wang J; Yan D; Zhao A; Hou X; Zheng X; Chen P; Bao Y; Jia W; Hu C; Zhang ZL; Jia W Osteoporos Int; 2019 Jul; 30(7):1491-1499. PubMed ID: 30778642 [TBL] [Abstract][Full Text] [Related]
3. Analysis and validation of biomarkers of immune cell-related genes in postmenopausal osteoporosis: An observational study. Chen L; Zhao Y; Qiu J; Lin X Medicine (Baltimore); 2024 May; 103(19):e38042. PubMed ID: 38728482 [TBL] [Abstract][Full Text] [Related]
4. Plasma serotonin precursors and metabolite are correlated with bone mineral density and bone turnover markers in patients with postmenopausal osteoporosis. Feng Q; Song X; Liu L; Zhou X; Chen Z J Orthop Surg (Hong Kong); 2024; 32(1):10225536231187181. PubMed ID: 38613416 [TBL] [Abstract][Full Text] [Related]
5. Identifying microbial signatures for patients with postmenopausal osteoporosis using gut microbiota analyses and feature selection approaches. Huang D; Wang J; Zeng Y; Li Q; Wang Y Front Microbiol; 2023; 14():1113174. PubMed ID: 37077242 [TBL] [Abstract][Full Text] [Related]
6. Serum CTRP3 concentrations are positively correlated with disease severity in women with postmenopausal osteoporosis: a population-based cross-sectional study. Zhang XJ; Zhang D; Qin J; Zhou YR; Guo JL; Zhang YZ Eur Rev Med Pharmacol Sci; 2023 Nov; 27(22):10868-10874. PubMed ID: 38039016 [TBL] [Abstract][Full Text] [Related]
7. Association between the metabolome and bone mineral density in pre- and post-menopausal Chinese women using GC-MS. Qi H; Bao J; An G; Ouyang G; Zhang P; Wang C; Ying H; Ouyang P; Ma B; Zhang Q Mol Biosyst; 2016 Jun; 12(7):2265-75. PubMed ID: 27168060 [TBL] [Abstract][Full Text] [Related]
8. The Neuropeptide Vasoactive Intestinal Peptide Levels in Serum are Inversely Related to Disease Severity of Postmenopausal Osteoporosis: A Cross-Sectional Study. Wang W; Wang ZP; Huang CY; Chen YD; Yao WF; Shi BM Genet Test Mol Biomarkers; 2019 Jul; 23(7):480-486. PubMed ID: 31157986 [No Abstract] [Full Text] [Related]
9. Puerarin improves OVX-induced osteoporosis by regulating phospholipid metabolism and biosynthesis of unsaturated fatty acids based on serum metabolomics. Li B; Wang Y; Gong S; Yao W; Gao H; Liu M; Wei M Phytomedicine; 2022 Jul; 102():154198. PubMed ID: 35636175 [TBL] [Abstract][Full Text] [Related]
10. Plasma LncRNA MALAT1 Expressions Are Negatively Associated with Disease Severity of Postmenopausal Osteoporosis. Qian TY; Wan H; Huang CY; Hu XJ; Yao WF Lab Med; 2022 Sep; 53(5):446-452. PubMed ID: 35311990 [TBL] [Abstract][Full Text] [Related]
11. Potential diagnostic value of PD-1 in peripheral blood mononuclear cells of postmenopausal osteoporosis patients. Cai XP; Zhao Q; Guo ZD; Lin SJ; Chen ZX; Chen MY; Zheng L; Zhao KW J Clin Lab Anal; 2020 Jun; 34(6):e23223. PubMed ID: 32065479 [TBL] [Abstract][Full Text] [Related]
12. Olink Proteomics for the Identification of Biomarkers for Early Diagnosis of Postmenopausal Osteoporosis. Li C; Zang X; Liu H; Yin S; Cheng X; Zhang W; Meng X; Chen L; Lu S; Wu J J Proteome Res; 2024 Oct; 23(10):4567-4578. PubMed ID: 39226440 [TBL] [Abstract][Full Text] [Related]
13. Single-cell RNA sequencing reveals that an imbalance in monocyte subsets rather than changes in gene expression patterns is a feature of postmenopausal osteoporosis. Tao L; Jiang W; Li H; Wang X; Tian Z; Yang K; Zhu Y J Bone Miner Res; 2024 Aug; 39(7):980-993. PubMed ID: 38652170 [TBL] [Abstract][Full Text] [Related]
14. Proteomic profiling analysis of postmenopausal osteoporosis and osteopenia identifies potential proteins associated with low bone mineral density. Huang D; Wang Y; Lv J; Yan Y; Hu Y; Liu C; Zhang F; Wang J; Hao D PeerJ; 2020; 8():e9009. PubMed ID: 32328356 [TBL] [Abstract][Full Text] [Related]
15. Bioinformatics identification and experimental validation of m6A-related diagnostic biomarkers in the subtype classification of blood monocytes from postmenopausal osteoporosis patients. Zhang P; Chen H; Xie B; Zhao W; Shang Q; He J; Shen G; Yu X; Zhang Z; Zhu G; Chen G; Yu F; Liang D; Tang J; Cui J; Liu Z; Ren H; Jiang X Front Endocrinol (Lausanne); 2023; 14():990078. PubMed ID: 36967763 [TBL] [Abstract][Full Text] [Related]
16. MicroRNAs in Serum Exosomes as Circulating Biomarkers for Postmenopausal Osteoporosis. Shi H; Jiang X; Xu C; Cheng Q Front Endocrinol (Lausanne); 2022; 13():819056. PubMed ID: 35360081 [TBL] [Abstract][Full Text] [Related]
17. Genetic susceptibility of postmenopausal osteoporosis on sulfide quinone reductase-like gene. Cai X; Yi X; Zhang Y; Zhang D; Zhi L; Liu H Osteoporos Int; 2018 Sep; 29(9):2041-2047. PubMed ID: 29855663 [TBL] [Abstract][Full Text] [Related]
18. Identification of a potential diagnostic signature for postmenopausal osteoporosis Zeng R; Ke TC; Ou MT; Duan LL; Li Y; Chen ZJ; Xing ZB; Fu XC; Huang CY; Wang J Front Pharmacol; 2022; 13():944735. PubMed ID: 36105211 [No Abstract] [Full Text] [Related]
19. Association between the metabolome and bone mineral density in a Chinese population. Mei Z; Dong X; Qian Y; Hong D; Xie Z; Yao G; Qin A; Gao S; Hu J; Liang L; Zheng Y; Su J EBioMedicine; 2020 Dec; 62():103111. PubMed ID: 33186808 [TBL] [Abstract][Full Text] [Related]