1
|
Gao P, Pan X, Wang S, Guo S, Dong Z, Wang Z, Liang X, Chen Y, Fang F, Yang L, Huang J, Zhang C, Li C, Luo Y, Peng S, Xu F. Identification of the transcriptome signatures and immune-inflammatory responses in postmenopausal osteoporosis. Heliyon 2024; 10:e23675. [PMID: 38187229 PMCID: PMC10770509 DOI: 10.1016/j.heliyon.2023.e23675] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2022] [Revised: 11/25/2023] [Accepted: 12/09/2023] [Indexed: 01/09/2024] Open
Abstract
Postmenopausal osteoporosis is the most common type of osteoporosis in women. To date, little is known about their transcriptome signatures, although biomarkers from peripheral blood mononuclear cells are attractive for postmenopausal osteoporosis diagnoses. Here, we performed bulk RNA sequencing of 206 samples (124 postmenopausal osteoporosis and 82 normal samples) and described the clinical phenotypic characteristics of postmenopausal women. We then highlighted the gene set enrichment analyses between the extreme T-score group and the heathy control group, revealing that some immune-inflammatory responses were enhanced in postmenopausal osteoporosis, with representative pathways including the mitogen-activated protein kinase (NES = 1.6, FDR <0.11) pathway and B_CELL_RECEPTOR (NES = 1.69, FDR <0.15) pathway. Finally, we developed a combined risk prediction model based on lasso-logistic regression to predict postmenopausal osteoporosis, which combined eleven genes (PTGS2, CXCL16, NECAP1, RPS23, SSR3, CD74, IL4R, BTBD2, PIGS, LILRA2, MAP3K11) and three pieces of clinical information (age, procollagen I N-terminal propeptide, β isomer of C-terminal telopeptide of type I) and provided the best prediction ability (AUC = 0.97). Taken together, this study filled a gap in the large-scale transcriptome signature profiles and revealed the close relationship between immune-inflammatory responses and postmenopausal osteoporosis, providing a unique perspective for understanding the occurrence and development of postmenopausal osteoporosis.
Collapse
Affiliation(s)
- Pan Gao
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
- BGI Cell, Shenzhen 518083, China
- BGI Research, Shenzhen 518083, China
| | - Xiaoguang Pan
- Qingdao-Europe Advanced Institute for Life Sciences, BGI-Shenzhen, Qingdao 266555, China
| | - Shang Wang
- Department of Spine Surgery, Shenzhen People's Hospital, The First Affiliated Hospital, Southern University of Science and Technology, Shenzhen 518020, Guangdong, China
| | - Sijia Guo
- BGI Research, Shenzhen 518083, China
| | | | - Zhefeng Wang
- Department of Spine Surgery, Shenzhen People's Hospital, The First Affiliated Hospital, Southern University of Science and Technology, Shenzhen 518020, Guangdong, China
| | - Xue Liang
- Qingdao-Europe Advanced Institute for Life Sciences, BGI-Shenzhen, Qingdao 266555, China
| | - Yan Chen
- BGI Research, Shenzhen 518083, China
| | - Fang Fang
- BGI Research, Shenzhen 518083, China
| | - Ling Yang
- BGI Research, Shenzhen 518083, China
| | - Jinrong Huang
- BGI Research, Shenzhen 518083, China
- Lars Bolund Institute of Regenerative Medicine, BGI-Qingdao, BGI-Shenzhen, Qingdao 266555, China
| | | | - Conghui Li
- BGI Research, Shenzhen 518083, China
- Qingdao-Europe Advanced Institute for Life Sciences, BGI-Shenzhen, Qingdao 266555, China
- Lars Bolund Institute of Regenerative Medicine, BGI-Qingdao, BGI-Shenzhen, Qingdao 266555, China
| | - Yonglun Luo
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
- BGI Research, Shenzhen 518083, China
- Qingdao-Europe Advanced Institute for Life Sciences, BGI-Shenzhen, Qingdao 266555, China
| | - Songlin Peng
- Department of Spine Surgery, Shenzhen People's Hospital, The First Affiliated Hospital, Southern University of Science and Technology, Shenzhen 518020, Guangdong, China
| | - Fengping Xu
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
- BGI Cell, Shenzhen 518083, China
- BGI Research, Shenzhen 518083, China
| |
Collapse
|
2
|
Schyrr F, Marques‐Vidal P, Hans D, Lamy O, Naveiras O. Differential blood counts do not consistently predict clinical measurements of bone mineral density and microarchitecture at homeostasis. JBMR Plus 2022; 6:e10669. [PMID: 36111204 PMCID: PMC9464992 DOI: 10.1002/jbm4.10669] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Revised: 07/09/2022] [Accepted: 07/22/2022] [Indexed: 11/29/2022] Open
Abstract
The hematopoietic stem cell niche constitutes a complex bone marrow (BM) microenvironment. Osteoporosis is characterized by both reduced bone mineral density (BMD) and microarchitectural deterioration, constituting the most frequent alteration of the BM microenvironment. It is unclear to which extent modifications of the BM microenvironment, including in the context of osteoporosis, influence blood cell production. We aimed to describe the association between lumbar spine and total hip BMD and microarchitecture (assessed by trabecular bone score [TBS]) and differential blood counts. Data were collected at two time points from 803 (first assessment) and 901 (second assessment) postmenopausal women participating in the CoLaus/OsteoLaus cohort, a population‐based sample in Lausanne, Switzerland. Participants with other active disease or treatment that could influence hematopoiesis or osteoporosis were excluded. Bivariate and multivariate associations between each peripheral blood cell count and BMD or TBS were performed. Additionally, participants in the highest BMD and TBS tertiles were compared with participants in the lowest BMD and TBS tertiles. At first assessment, only neutrophils were significantly different in the lowest BMD and TBS tertile (3.18 ± 0.09 versus 3.47 ± 0.08 G/L, p = 0.028). At the second assessment, leucocytes (5.90 ± 0.11 versus 5.56 ± 0.10 G/L, p = 0.033), lymphocytes (1.87 ± 0.04 versus 1.72 ± 0.04 G/L p = 0.033), and monocytes (0.49 ± 0.01 versus 0.46 ± 0.1 G/L, p = 0.033) were significantly different. Power analysis did not identify quasi‐significant associations missed due to sample size. Although significant associations between blood counts and BMD or TBS were found, none was consistent across bone measurements or assessments. This study suggests that, at homeostasis and in postmenopausal women, there is no clinically significant association between the osteoporotic microenvironment and blood production output as measured by differential blood counts. In the context of conflicting reports on the relationship between osteoporosis and hematopoiesis, our study represents the first prospective two time‐point analysis of a large, homogenous cohort at steady state. © 2022 The Authors. JBMR Plus published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research.
Collapse
Affiliation(s)
- Frederica Schyrr
- Laboratory of Regenerative HematopoiesisSwiss Institute for Experimental Cancer Research (ISREC) & Institute of Bioengineering, École Polytechnique Fédérale de Lausanne (EPFL)LausanneSwitzerland
- Department of Biomedical SciencesUniversity of LausanneLausanneSwitzerland
| | | | - Didier Hans
- Centre of Bone Diseases, Bone and Joint DepartmentLausanne University HospitalLausanneSwitzerland
| | - Olivier Lamy
- Centre of Bone Diseases, Bone and Joint DepartmentLausanne University HospitalLausanneSwitzerland
| | - Olaia Naveiras
- Laboratory of Regenerative HematopoiesisSwiss Institute for Experimental Cancer Research (ISREC) & Institute of Bioengineering, École Polytechnique Fédérale de Lausanne (EPFL)LausanneSwitzerland
- Department of Biomedical SciencesUniversity of LausanneLausanneSwitzerland
- Hematology Service, Department of OncologyLausanne University Hospital (CHUV) and University of Lausanne (UNIL)LausanneSwitzerland
| |
Collapse
|
4
|
Yoon J, Kim DJ, Sung HH, Jo YK. Analysis of Bone Mineral Density according to Hemoglobin in University Students. KOREAN JOURNAL OF CLINICAL LABORATORY SCIENCE 2016. [DOI: 10.15324/kjcls.2016.48.4.296] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Affiliation(s)
- Joon Yoon
- Department of Radiologic Technology, Dongnam Health University, Suwon 16328, Korea
| | - Dai-Joong Kim
- Department of Laboratory Medicine, Bundang Jesaeng Hospital, Seongnam 13590, Korea
| | - Hyun-Ho Sung
- Department of Clinical Laboratory Science, Dongnam Health University, Suwon 16328, Korea
| | - Yoon-Kyung Jo
- Department of Clinical Laboratory Science, Dongnam Health University, Suwon 16328, Korea
| |
Collapse
|