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Gao M, Dong C, Chen Z, Jiang R, Shaw P, Gao W, Sun Y. Different impact of short-term and long-term hindlimb disuse on bone homeostasis. Gene 2024; 918:148457. [PMID: 38641071 DOI: 10.1016/j.gene.2024.148457] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Revised: 02/19/2024] [Accepted: 04/08/2024] [Indexed: 04/21/2024]
Abstract
Disuse osteoporosis is one of the major problems of bone health which commonly occurs in astronauts during long-term spaceflight and bedridden patients. However, the mechanisms underlying such mechanical unloading induced bone loss have not been fully understood. In this study, we employed hindlimb-unloading mice models with different length of tail suspension to investigate if the bone loss was regulated by distinct factors under different duration of disuse. Our micro-CT results showed more significant decrease of bone mass in 6W (6-week) tail-suspension mice compared to the 1W (1-week) tail-suspension ones, as indicated by greater reduction of BV/TV, Tb.N, B.Ar/T.Ar and Ct.Th. RNA-sequencing results showed significant effects of hindlimb disuse on cell locomotion and immune system process which could cause bone loss.Real-time quantitative PCR results indicated a greater number of bone formation related genes that were downregulated in short-term tail-suspension mice compared to the long-term ones. It is, thus, suggested while sustained hindlimb unloading continuously contributes to bone loss, molecular regulation of bone homeostasis tends to reach a balance during this process.
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Affiliation(s)
- Minhao Gao
- Department of Orthopaedics, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325035, China
| | - Chengji Dong
- Department of Orthopaedics, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325035, China
| | - Zhuliu Chen
- Department of Orthopaedics, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325035, China
| | - Renhao Jiang
- Department of Orthopaedics, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325035, China
| | - Peter Shaw
- Oujiang Lab, Zhejiang Lab for Regenerative Medicine, Vision and Brain Health, Wenzhou, Zhejiang 325000, China
| | - Weiyang Gao
- Department of Orthopaedics, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325035, China.
| | - Yuanna Sun
- Department of Orthopaedics, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325035, China.
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Khan MZ, Chen W, Huang B, Liu X, Wang X, Liu Y, Chai W, Wang C. Advancements in Genetic Marker Exploration for Livestock Vertebral Traits with a Focus on China. Animals (Basel) 2024; 14:594. [PMID: 38396562 PMCID: PMC10885964 DOI: 10.3390/ani14040594] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2023] [Revised: 01/29/2024] [Accepted: 02/07/2024] [Indexed: 02/25/2024] Open
Abstract
In livestock breeding, the number of vertebrae has gained significant attention due to its impact on carcass quality and quantity. Variations in vertebral traits have been observed across different animal species and breeds, with a strong correlation to growth and meat production. Furthermore, vertebral traits are classified as quantitative characteristics. Molecular marker techniques, such as marker-assisted selection (MAS), have emerged as efficient tools to identify genetic markers associated with vertebral traits. In the current review, we highlight some key potential genes and their polymorphisms that play pivotal roles in controlling vertebral traits (development, length, and number) in various livestock species, including pigs, donkeys, and sheep. Specific genetic variants within these genes have been linked to vertebral development, number, and length, offering valuable insights into the genetic mechanisms governing vertebral traits. This knowledge has significant implications for selective breeding strategies to enhance structural characteristics and meat quantity and quality in livestock, ultimately improving the efficiency and quality of the animal husbandry industry.
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Affiliation(s)
- Muhammad Zahoor Khan
- Liaocheng Research Institute of Donkey High-Efficiency Breeding and Ecological Feeding, Liaocheng University, Liaocheng 522000, China
| | | | | | | | | | | | | | - Changfa Wang
- Liaocheng Research Institute of Donkey High-Efficiency Breeding and Ecological Feeding, Liaocheng University, Liaocheng 522000, China
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Zhou Y, Ping X, Guo Y, Heng BC, Wang Y, Meng Y, Jiang S, Wei Y, Lai B, Zhang X, Deng X. Assessing Biomaterial-Induced Stem Cell Lineage Fate by Machine Learning-Based Artificial Intelligence. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2023; 35:e2210637. [PMID: 36756993 DOI: 10.1002/adma.202210637] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 02/02/2023] [Indexed: 05/12/2023]
Abstract
Current functional assessment of biomaterial-induced stem cell lineage fate in vitro mainly relies on biomarker-dependent methods with limited accuracy and efficiency. Here a "Mesenchymal stem cell Differentiation Prediction (MeD-P)" framework for biomaterial-induced cell lineage fate prediction is reported. MeD-P contains a cell-type-specific gene expression profile as a reference by integrating public RNA-seq data related to tri-lineage differentiation (osteogenesis, chondrogenesis, and adipogenesis) of human mesenchymal stem cells (hMSCs) and a predictive model for classifying hMSCs differentiation lineages using the k-nearest neighbors (kNN) strategy. It is shown that MeD-P exhibits an overall accuracy of 90.63% on testing datasets, which is significantly higher than the model constructed based on canonical marker genes (80.21%). Moreover, evaluations of multiple biomaterials show that MeD-P provides accurate prediction of lineage fate on different types of biomaterials as early as the first week of hMSCs culture. In summary, it is demonstrated that MeD-P is an efficient and accurate strategy for stem cell lineage fate prediction and preliminary biomaterial functional evaluation.
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Affiliation(s)
- Yingying Zhou
- Department of Dental Materials and Dental Medical Devices Testing Center, Peking University School and Hospital of Stomatology, Beijing, 100081, P. R. China
- National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, NMPA Key Laboratory for Dental Materials, Beijing Laboratory of Biomedical Materials, Peking University School and Hospital of Stomatology, Beijing, 100081, P. R. China
| | - Xianfeng Ping
- National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, NMPA Key Laboratory for Dental Materials, Beijing Laboratory of Biomedical Materials, Peking University School and Hospital of Stomatology, Beijing, 100081, P. R. China
- Central Laboratory, Peking University School and Hospital of Stomatology, Beijing, 100081, P. R. China
| | - Yusi Guo
- National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, NMPA Key Laboratory for Dental Materials, Beijing Laboratory of Biomedical Materials, Peking University School and Hospital of Stomatology, Beijing, 100081, P. R. China
- Department of Geriatric Dentistry, Peking University School and Hospital of Stomatology, Beijing, 100081, P. R. China
| | - Boon Chin Heng
- National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, NMPA Key Laboratory for Dental Materials, Beijing Laboratory of Biomedical Materials, Peking University School and Hospital of Stomatology, Beijing, 100081, P. R. China
- Central Laboratory, Peking University School and Hospital of Stomatology, Beijing, 100081, P. R. China
| | - Yijun Wang
- Department of Dental Materials and Dental Medical Devices Testing Center, Peking University School and Hospital of Stomatology, Beijing, 100081, P. R. China
- National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, NMPA Key Laboratory for Dental Materials, Beijing Laboratory of Biomedical Materials, Peking University School and Hospital of Stomatology, Beijing, 100081, P. R. China
| | - Yanze Meng
- Department of Dental Materials and Dental Medical Devices Testing Center, Peking University School and Hospital of Stomatology, Beijing, 100081, P. R. China
- National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, NMPA Key Laboratory for Dental Materials, Beijing Laboratory of Biomedical Materials, Peking University School and Hospital of Stomatology, Beijing, 100081, P. R. China
| | - Shengjie Jiang
- National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, NMPA Key Laboratory for Dental Materials, Beijing Laboratory of Biomedical Materials, Peking University School and Hospital of Stomatology, Beijing, 100081, P. R. China
- Department of Geriatric Dentistry, Peking University School and Hospital of Stomatology, Beijing, 100081, P. R. China
| | - Yan Wei
- National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, NMPA Key Laboratory for Dental Materials, Beijing Laboratory of Biomedical Materials, Peking University School and Hospital of Stomatology, Beijing, 100081, P. R. China
- Department of Geriatric Dentistry, Peking University School and Hospital of Stomatology, Beijing, 100081, P. R. China
| | - Binbin Lai
- Biomedical Engineering Department, Peking University, Beijing, 100191, P. R. China
- Department of Dermatology and Venereology, Peking University First Hospital, Beijing, 100034, P. R. China
| | - Xuehui Zhang
- Department of Dental Materials and Dental Medical Devices Testing Center, Peking University School and Hospital of Stomatology, Beijing, 100081, P. R. China
- National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, NMPA Key Laboratory for Dental Materials, Beijing Laboratory of Biomedical Materials, Peking University School and Hospital of Stomatology, Beijing, 100081, P. R. China
| | - Xuliang Deng
- National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, NMPA Key Laboratory for Dental Materials, Beijing Laboratory of Biomedical Materials, Peking University School and Hospital of Stomatology, Beijing, 100081, P. R. China
- Department of Geriatric Dentistry, Peking University School and Hospital of Stomatology, Beijing, 100081, P. R. China
- Biomedical Engineering Department, Peking University, Beijing, 100191, P. R. China
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Wu M, Cai YL, Yang Y, Hu HM, Yao Y, Yang J, Deng JJ, Wan L. Vitamin D ameliorates insulin resistance-induced osteopenia by inactivating the nucleotide-binding oligomerization domain-like receptor protein 3 inflammasome. Heliyon 2023; 9:e13215. [PMID: 36816288 PMCID: PMC9929320 DOI: 10.1016/j.heliyon.2023.e13215] [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: 11/10/2022] [Revised: 01/12/2023] [Accepted: 01/20/2023] [Indexed: 01/25/2023] Open
Abstract
Objective Osteoporosis (OP) can be considered a chronic complication of type 2 diabetes mellitus (T2DM). Aberrant activation of the nucleotide-binding oligomerization domain-like receptor protein 3 (NLRP3) inflammasome is associated with the pathogenesis of various inflammation-related diseases, e.g., T2DM and OP. Vitamin D affects the inflammatory pathway and inhibits an excessive inflammatory response. The current study investigated the inter-relationship between vitamin D and inflammasome activation in T2DM. Method Hepatocellular carcinoma (HepG2) cells and bone marrow stromal cells (BMSCs) were treated with Conditioned Medium of bone marrow mesenchymal stem cells after VitD treatment (CM-VitD), as well as phosphoinositide 3-kinase (PI3K) specific agonist, 740Y-P, or the PI3K specific inhibitor, LY294002, respectively, or both. 40 Eight-week-old female Sprague Dawley rats were selected and established as a DM model. The rats were injected with CM-VitD, as well as the 740Y-P specific agonist, or the LY294002 inhibitor, respectively, or both. A quantitative reverse transcription polymerase chain reaction and western blotting were conducted to evaluate the expression of messenger ribonucleic acid and protein in the RUX2 gene, alkaline phosphatase (ALP), OsteoPontiN (OPN), peroxisome proliferator-activated receptor gamma (PPARγ), fatty acid-binding protein 4 (FABP4), protein kinase B (AKT), PI3K, NLRP3, apoptosis-associated speck-like protein containing a caspase recruitment domain (ASC), caspase-1, interleukin (IL)-1 beta (β), IL-18, and tumor necrosis factor alpha (TNF-α) in the BMSCs and liver tissue of rats. Enzyme-linked immunosorbent assay was used to detect the concentration of inflammatory factors in the cell supernatant and serum of rats. Results An isolated co-culture of HepG2/insulin-resistance cells and BMSCs promoted the adipogenic transformation of the latter and inhibited the transformation of BMSCs into osteogenesis. The PI3K specific agonist, 740Y-P, significantly increased the expression of PI3K, AKT, NLRP3, ASC and Caspase-1 while the PI3K specific inhibitor, LY294002, does the opposite. Additionally, CM-VitD reduced the expression of NLRP3, ASC, caspase-1, IL-1β, and IL-18 in BMSCs and rat liver via the PI3K/AKT pathway. Conclusion Vitamin D can inhibit the inflammatory response induced by T2DM and promote the osteogenesis of BMSCs, which may play a key role in the treatment of type 2 diabetes patients with OP.
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Wang T, Liu Z, Wang X, Li Y, AKHTAR FAHEEM, Li M, Zhang Z, Zhan Y, Shi X, Ren W, Huang B, Wang C, Chai W. Polymorphism detection of PRKG2 gene and its association with the number of thoracolumbar vertebrae and carcass traits in Dezhou donkey. BMC Genom Data 2023; 24:2. [PMID: 36600198 PMCID: PMC9811767 DOI: 10.1186/s12863-022-01101-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Accepted: 12/16/2022] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND Previous studies have shown that the protein kinase cGMP-dependent 2 (PRKG2) gene is associated with dwarfism in humans, dogo Argentines, and Angus cattle, as well as with height and osteoblastogenesis in humans. Therefore, the PRKG2 gene was used as the target gene to explore whether this gene is associated with several thoracolumbar vertebrae and carcass traits in Dezhou donkeys. RESULTS In this study, fifteen SNPs were identified by targeted sequencing, all of which were located in introns of the PRKG2 gene. Association analysis illustrated that the g.162153251 G > A, g.162156524 C > T, g.162158453 C > T and, g.162163775 T > G were significantly different from carcass weight. g.162166224 G > A, g.162166654 T > A, g.162167165 C > A, g.162167314 A > C and, g.162172653 G > C were significantly associated with the number of thoracic vertebrae. g.162140112 A > G was significantly associated with the number and the length of lumbar vertebrae, and g.162163775 T > G was significantly associated with the total number of thoracolumbar vertebrae. CONCLUSION Overall, the results of this study suggest that PRKG2 gene polymorphism can be used as a molecular marker to breed high-quality Dezhou donkeys.
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Affiliation(s)
- Tianqi Wang
- grid.411351.30000 0001 1119 5892Liaocheng, Research Institute of Donkey High‐Efficiency Breeding and Ecological Feeding, College of Agronomy and Agricultural Engineering, Liaocheng University, Liaocheng, 252059 China
| | - Ziwen Liu
- grid.411351.30000 0001 1119 5892Liaocheng, Research Institute of Donkey High‐Efficiency Breeding and Ecological Feeding, College of Agronomy and Agricultural Engineering, Liaocheng University, Liaocheng, 252059 China
| | - Xinrui Wang
- grid.411351.30000 0001 1119 5892Liaocheng, Research Institute of Donkey High‐Efficiency Breeding and Ecological Feeding, College of Agronomy and Agricultural Engineering, Liaocheng University, Liaocheng, 252059 China
| | - Yuhua Li
- grid.411351.30000 0001 1119 5892Liaocheng, Research Institute of Donkey High‐Efficiency Breeding and Ecological Feeding, College of Agronomy and Agricultural Engineering, Liaocheng University, Liaocheng, 252059 China
| | - FAHEEM AKHTAR
- grid.411351.30000 0001 1119 5892Liaocheng, Research Institute of Donkey High‐Efficiency Breeding and Ecological Feeding, College of Agronomy and Agricultural Engineering, Liaocheng University, Liaocheng, 252059 China
| | - Mengmeng Li
- grid.411351.30000 0001 1119 5892Liaocheng, Research Institute of Donkey High‐Efficiency Breeding and Ecological Feeding, College of Agronomy and Agricultural Engineering, Liaocheng University, Liaocheng, 252059 China
| | - Zhenwei Zhang
- grid.411351.30000 0001 1119 5892Liaocheng, Research Institute of Donkey High‐Efficiency Breeding and Ecological Feeding, College of Agronomy and Agricultural Engineering, Liaocheng University, Liaocheng, 252059 China
| | - Yandong Zhan
- grid.411351.30000 0001 1119 5892Liaocheng, Research Institute of Donkey High‐Efficiency Breeding and Ecological Feeding, College of Agronomy and Agricultural Engineering, Liaocheng University, Liaocheng, 252059 China
| | - Xiaoyuan Shi
- grid.411351.30000 0001 1119 5892Liaocheng, Research Institute of Donkey High‐Efficiency Breeding and Ecological Feeding, College of Agronomy and Agricultural Engineering, Liaocheng University, Liaocheng, 252059 China
| | - Wei Ren
- grid.411351.30000 0001 1119 5892Liaocheng, Research Institute of Donkey High‐Efficiency Breeding and Ecological Feeding, College of Agronomy and Agricultural Engineering, Liaocheng University, Liaocheng, 252059 China
| | - Bingjian Huang
- grid.411351.30000 0001 1119 5892Liaocheng, Research Institute of Donkey High‐Efficiency Breeding and Ecological Feeding, College of Agronomy and Agricultural Engineering, Liaocheng University, Liaocheng, 252059 China
| | - Changfa Wang
- grid.411351.30000 0001 1119 5892Liaocheng, Research Institute of Donkey High‐Efficiency Breeding and Ecological Feeding, College of Agronomy and Agricultural Engineering, Liaocheng University, Liaocheng, 252059 China
| | - Wenqiong Chai
- grid.411351.30000 0001 1119 5892Liaocheng, Research Institute of Donkey High‐Efficiency Breeding and Ecological Feeding, College of Agronomy and Agricultural Engineering, Liaocheng University, Liaocheng, 252059 China
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Li H, Wang C, Jin Y, Cai Y, Sun H, Liu M. The integrative analysis of competitive endogenous RNA regulatory networks in osteoporosis. Sci Rep 2022; 12:9549. [PMID: 35680981 PMCID: PMC9184474 DOI: 10.1038/s41598-022-13791-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Accepted: 05/27/2022] [Indexed: 11/09/2022] Open
Abstract
Osteoporosis (OP) is a common bone disease of old age resulting from the imbalance between bone resorption and bone formation. CircRNAs are a class of endogenous non-coding RNAs (ncRNAs) involved in gene regulation and may play important roles in the development of OP. Here, we aimed to discover the OP‑related circRNA-miRNA-mRNA (ceRNA) network and the potential mechanisms. Six microarray datasets were obtained from the GEO database and the OP‑related differentially expressed genes (DEGs), circRNAs (DECs), and miRNAs (DEMs) were screened out from these datasets. Then, combined with the prediction of the relationships between DEGs, DEMs, and DECs, a ceRNA network containing 7 target circRNAs, 5 target miRNAs, and 38 target genes was constructed. Then the RNA-seq verification by using total RNAs isolated from the femurs of normal and ovariectomized Wistar rats indicated that MFAP5, CAMK2A, and RGS4 in the ceRNA network were closely associated with osteoporosis. Function enrichment analysis indicated that the target circRNAs, miRNAs, and genes were involved in the process of MAPK cascade, hormone stimulus, cadherin binding, rRNA methyltransferase, PI3K-Akt signaling pathway, and Vitamin digestion and absorption, etc. Then a circRNA-miRNA-hub gene subnetwork was constructed and the qRT-PCR analysis of human bone tissues from the femoral head was used to confirm that the transcription of hsa_circR_0028877, hsa_circR_0082916, DIRAS2, CAMK2A, and MAPK4 showed a significant correlation with osteogenic genes. Besides, the two axes of hsa_circR_0028877/hsa-miR-1273f/CAMK2A and hsa_circR_0028877/hsa-miR-1273f/DIRAS2 conformed to be closely associated with OP. Additionally, by constructing a drug-target gene network, RKI-1447, FRAX486, Hyaluronic, and Fostamatinib were identified as therapeutic options for OP. Our study revealed the potential links between circRNAs, miRNAs, and mRNAs in OP, suggesting that the ceRNA mechanism might contribute to the occurrence of OP.
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Affiliation(s)
- Hao Li
- Department of Clinical Pharmacology, College of Pharmacy, Dalian Medical University, 9 West Section, Lvshun South Road, Lvshunkou District, Dalian, 116044, China
| | - Changyuan Wang
- Department of Clinical Pharmacology, College of Pharmacy, Dalian Medical University, 9 West Section, Lvshun South Road, Lvshunkou District, Dalian, 116044, China
| | - Yue Jin
- Department of Clinical Pharmacology, College of Pharmacy, Dalian Medical University, 9 West Section, Lvshun South Road, Lvshunkou District, Dalian, 116044, China
| | - Yuanqing Cai
- Department of Orthopaedics, The First Affiliated Hospital, Dalian Medical University, No. 222, Zhongshan Road, Xigang District, Dalian, 116011, China
| | - Huijun Sun
- Department of Clinical Pharmacology, College of Pharmacy, Dalian Medical University, 9 West Section, Lvshun South Road, Lvshunkou District, Dalian, 116044, China.
| | - Mozhen Liu
- Department of Orthopaedics, The First Affiliated Hospital, Dalian Medical University, No. 222, Zhongshan Road, Xigang District, Dalian, 116011, China.
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