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Panchal L, Arora S, Pramanik J, Batta K, Kumar A, Prajapati B. Probiotics: a promising intervention for osteoporosis prevention and management. Z NATURFORSCH C 2024; 0:znc-2024-0063. [PMID: 38965037 DOI: 10.1515/znc-2024-0063] [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: 03/27/2024] [Accepted: 06/20/2024] [Indexed: 07/06/2024]
Abstract
Osteoporosis (OP) is a systemic skeletal disease that is characterized by low bone mass and increased fracture risk. This article explores the potential of probiotics as an adjunctive approach for the prevention and management of OP. It has been well established that the gut microbiota (GM), a complex community of microbes, plays an important role in bone health. The gut dysbiosis is linked with a higher risk of OP. However, the consumption of probiotics in adequate amounts restores gut health thus improving bone health. Probiotics may influence bone metabolism through enhanced calcium absorption, reduced inflammation, and increased bone formation. The animal and human studies demonstrate the positive effects of probiotics on bone health parameters like reduced osteoclastogenesis, bone resorption markers, osteoblast, osteocyte apoptosis, and increased bone mineral density and expression of osteoprotegerin. The current evidence suggests that probiotics can be used as an adjunctive approach along with the existing therapies for the prevention and management of OP.
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Affiliation(s)
- Lakshay Panchal
- M.M Institute of Physiotherapy and Rehabilitation, Maharishi Markandeshwar University, Mullana, India
| | - Shivam Arora
- M.M Institute of Physiotherapy and Rehabilitation, Maharishi Markandeshwar University, Mullana, India
| | - Jhilam Pramanik
- Department of Food Technology, William Carrey University, Shillong, India
| | - Kajol Batta
- Department of Food Technology, ITM University, Gwalior, India
| | - Akash Kumar
- Department of Food Technology, SRM University, Delhi-NCR, Sonepat, India
- MMICT&BM (HM), Maharishi Markandeshwar (Deemed to be University), Mullana, Ambala, India
| | - Bhupendra Prajapati
- 79233 Shree S.K. Patel College of Pharmaceutical Education and Research, Ganpat University , Mehsana, India
- Faculty of Pharmacy, Silpakorn University, Nakhon Pathom 73000, Thailand
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Yang K, Chen Y, Wang M, Zhang Y, Yuan Y, Hou H, Mao YH. The Improvement and Related Mechanism of Microecologics on the Sports Performance and Post-Exercise Recovery of Athletes: A Narrative Review. Nutrients 2024; 16:1602. [PMID: 38892536 PMCID: PMC11174581 DOI: 10.3390/nu16111602] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2024] [Revised: 05/20/2024] [Accepted: 05/22/2024] [Indexed: 06/21/2024] Open
Abstract
The diversity and functionality of gut microbiota may play a crucial role in the function of human motor-related systems. In addition to traditional nutritional supplements, there is growing interest in microecologics due to their potential to enhance sports performance and facilitate post-exercise recovery by modulating the gut microecological environment. However, there is a lack of relevant reviews on this topic. This review provides a comprehensive overview of studies investigating the effects of various types of microecologics, such as probiotics, prebiotics, synbiotics, and postbiotics, on enhancing sports performance and facilitating post-exercise recovery by regulating energy metabolism, mitigating oxidative-stress-induced damage, modulating immune responses, and attenuating bone loss. Although further investigations are warranted to elucidate the underlying mechanisms through which microecologics exert their effects. In summary, this study aims to provide scientific evidence for the future development of microecologics in athletics.
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Affiliation(s)
- Keer Yang
- School of Exercise and Health, Guangzhou Sport University, Guangzhou 510500, China; (K.Y.); (Y.C.); (M.W.); (Y.Z.); (Y.Y.); (H.H.)
| | - Yonglin Chen
- School of Exercise and Health, Guangzhou Sport University, Guangzhou 510500, China; (K.Y.); (Y.C.); (M.W.); (Y.Z.); (Y.Y.); (H.H.)
| | - Minghan Wang
- School of Exercise and Health, Guangzhou Sport University, Guangzhou 510500, China; (K.Y.); (Y.C.); (M.W.); (Y.Z.); (Y.Y.); (H.H.)
| | - Yishuo Zhang
- School of Exercise and Health, Guangzhou Sport University, Guangzhou 510500, China; (K.Y.); (Y.C.); (M.W.); (Y.Z.); (Y.Y.); (H.H.)
| | - Yu Yuan
- School of Exercise and Health, Guangzhou Sport University, Guangzhou 510500, China; (K.Y.); (Y.C.); (M.W.); (Y.Z.); (Y.Y.); (H.H.)
| | - Haoyang Hou
- School of Exercise and Health, Guangzhou Sport University, Guangzhou 510500, China; (K.Y.); (Y.C.); (M.W.); (Y.Z.); (Y.Y.); (H.H.)
| | - Yu-Heng Mao
- School of Exercise and Health, Guangzhou Sport University, Guangzhou 510500, China; (K.Y.); (Y.C.); (M.W.); (Y.Z.); (Y.Y.); (H.H.)
- Guangdong Key Laboratory of Human Sports Performance Science, Guangzhou Sport University, Guangzhou 510500, China
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Xue Y, Wang X, Liu H, Kang J, Liang X, Yao A, Dou Z. Assessment of the relationship between gut microbiota and bone mineral density: a two-sample Mendelian randomization study. Front Microbiol 2024; 15:1298838. [PMID: 38841058 PMCID: PMC11150656 DOI: 10.3389/fmicb.2024.1298838] [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: 09/22/2023] [Accepted: 05/01/2024] [Indexed: 06/07/2024] Open
Abstract
Background Emerging evidence from observational studies and clinical trials suggests a connection between the gut microbiota and variations in bone mineral density (BMD). Nonetheless, the specific association between gut microbiota and BMD alterations at different skeletal sites has not been comprehensively explored. To address this, we employed Genome-Wide Association Study (GWAS) summary statistics from a publicly accessible database, conducting a two-sample Mendelian Randomization analysis to elucidate the potential causal relationship between gut microbiota composition and BMD. Methods This study utilized two distinct thresholds for screening instrumental variables (IVs), followed by an extensive series of quality control procedures to identify IVs that were significantly related to exposure. Gut microbiota were classified into two sets based on hierarchical levels: phylum, class, order, family, and genus. Bone mineral density (BMD) data were systematically collected from four skeletal sites: femoral neck, lumbar spine, forearm, and heel. For Mendelian Randomization (MR) analysis, robust methods including Inverse-Variance Weighting (IVW) and the Wald Ratio Test were employed. Additional analytical tests such as the Outlier Test, Heterogeneity Test, 'Leave-One-Out' Test, and Pleiotropy Test were conducted to assess the impact of horizontal pleiotropy, heterogeneities, and the genetic variation stability of gut microbiota on BMD causal associations. The MR Steiger Directionality Test was applied to exclude studies with potential directional biases. Results In this two-sample Mendelian randomization analysis, we utilized five sets of exposure GWAS (Genome-Wide Association Studies) summary statistics and four sets of outcome GWAS summary statistics. The initial analysis, applying a threshold of p < 5 × 10-6, identified 48 significant causal relationships between genetic liability in the gut microbiome and bone mineral density (BMD). A subsequent analysis with a more stringent threshold of p < 5 × 10-8 uncovered 14 additional causal relationships. Upon applying the Bonferroni correction, 9 results from the first analysis and 10 from the second remained statistically significant. Conclusion Our MR analysis revealed a causal relationship between gut microbiota and bone mineral density at all sites, which could lead to discoveries in future mechanistic and clinical studies of microbiota-associated osteoporosis.
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Affiliation(s)
- Yuan Xue
- Graduate School, College of Basic Medical Sciences, Shanxi University of Traditional Chinese Medicine, Taiyuan, China
- Department of Traditional Chinese Medicine, Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Xuan Wang
- Graduate School, College of Basic Medical Sciences, Shanxi University of Traditional Chinese Medicine, Taiyuan, China
- Dean’s Office, Shanxi Vocational College of Health, Taiyuan, China
| | - Honglin Liu
- Graduate School, College of Basic Medical Sciences, Shanxi University of Traditional Chinese Medicine, Taiyuan, China
| | - Junfeng Kang
- Department of Orthopedics, Affiliated Hospital of Shanxi University of Traditional Chinese Medicine, Taiyuan, China
| | - Xiaohong Liang
- Department of Orthopedics, Affiliated Hospital of Shanxi University of Traditional Chinese Medicine, Taiyuan, China
| | - Aina Yao
- Department of Brain Disease, Shanxi Acupuncture and Moxibustion Hospital, Taiyuan, China
| | - Zhifang Dou
- Graduate School, College of Basic Medical Sciences, Shanxi University of Traditional Chinese Medicine, Taiyuan, China
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Shi P, Wang B, Shi S, Chu X, Liu C, Kang M, Hui J, Gou Y, Zhou R, Liu Y, Jia Y, Zhang F, Wen Y. Assessing the joint effects of mitochondrial genes and physical activity on the psychiatric phenotype of subjective well-being based on the UK Biobank data. Eur Arch Psychiatry Clin Neurosci 2024:10.1007/s00406-024-01822-y. [PMID: 38767715 DOI: 10.1007/s00406-024-01822-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Accepted: 04/19/2024] [Indexed: 05/22/2024]
Abstract
Subjective well-being (SWB) is an important measure for mental health status. Previous research has shown that physical activity can affect an individual's well-being, yet the underlying molecular mechanism remains to be clarified. In this study, we aim to evaluate the potential interactions between mitochondrial genes and physical activity (PA) as well as their combined effects on individual well-being. SWB phenotype data in UK Biobank were enrolled for this study including nine aspects such as work/job satisfaction, health satisfaction, family relationship satisfaction, friendships satisfaction, financial situation satisfaction, ever depressed for a whole week, general happiness, general happiness with own health and belief that own life is meaningful. We made analysis for each aspects separately. Firstly, mitochondria-wide association studies (MiWAS) was conducted to assess the association of mitochondrial Single Nucleotide Polymorphisms SNP with each aspect of SWB. Then an interaction analysis of mitochondrial DNA (mtDNA) mutation and PA was performed to evaluate their joint effect on SWB status. Meanwhile, these two analysis were made for female and male group separately as well as the total samples, all under the control of possible confounding factors including gender, age, Townsend Deprivation Index (TDI), education, alcohol consumption, smoking habits, and 10 principal components. MiWAS analysis identified 45 mtSNPs associated with 9 phenotypes of SWB. For example, m.15218A > G on MT-CYB in the health satisfaction phenotype of the total subjects. Gender-specific analyses found 30 mtSNPs in females and 58 in males, involving 13 mtGenes. In mtDNA-PA interaction analysis, we also identified 10 significant mtDNA-PA interaction sets for SWB. For instance, m.13020 T > C (MT-ND5) was associated with the SWB financial situation satisfaction phenotype in all subjects (P = 0.00577). In addition, MiWAS analysis identified 12 mtGene variants associated with SWB, as MT-ND1 and MT-ND2. However, in mtDNA-PA interactions we detected 7 mtDNA affecting psychiatric disorders occurring, as in the friendships satisfaction phenotype (m.3394 T > C on MT-ND1). Our study results suggest an implication of the interaction between mitochondrial function and physical activity in the risk of psychiatric disorder development.
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Affiliation(s)
- Panxing Shi
- NHC Key Laboratory of Environment and Endemic Diseases, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, 710061, China
| | - Bingyi Wang
- NHC Key Laboratory of Environment and Endemic Diseases, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, 710061, China
| | - Sirong Shi
- NHC Key Laboratory of Environment and Endemic Diseases, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, 710061, China
| | - Xiaoge Chu
- NHC Key Laboratory of Environment and Endemic Diseases, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, 710061, China
| | - Chen Liu
- NHC Key Laboratory of Environment and Endemic Diseases, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, 710061, China
| | - Meijuan Kang
- NHC Key Laboratory of Environment and Endemic Diseases, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, 710061, China
| | - Jingni Hui
- NHC Key Laboratory of Environment and Endemic Diseases, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, 710061, China
| | - Yifan Gou
- NHC Key Laboratory of Environment and Endemic Diseases, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, 710061, China
| | - Ruixue Zhou
- NHC Key Laboratory of Environment and Endemic Diseases, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, 710061, China
| | - Ye Liu
- NHC Key Laboratory of Environment and Endemic Diseases, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, 710061, China
| | - Yumeng Jia
- NHC Key Laboratory of Environment and Endemic Diseases, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, 710061, China
| | - Feng Zhang
- NHC Key Laboratory of Environment and Endemic Diseases, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, 710061, China
| | - Yan Wen
- NHC Key Laboratory of Environment and Endemic Diseases, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, 710061, China.
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Qiao X, Li X, Wang Z, Feng Y, Wei X, Li L, Pan Y, Zhang K, Zhou R, Yan L, Li P, Xu C, Lv Z, Tian Z. Gut microbial community and fecal metabolomic signatures in different types of osteoporosis animal models. Aging (Albany NY) 2024; 16:1192-1217. [PMID: 38284894 PMCID: PMC10866450 DOI: 10.18632/aging.205396] [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: 08/29/2023] [Accepted: 11/13/2023] [Indexed: 01/30/2024]
Abstract
BACKGROUND The gut microbiota (GM) constitutes a critical factor in the maintenance of physiological homeostasis. Numerous studies have empirically demonstrated that the GM is closely associated with the onset and progression of osteoporosis (OP). Nevertheless, the characteristics of the GM and its metabolites related to different forms of OP are poorly understood. In the present study, we examined the changes in the GM and its metabolites associated with various types of OP as well as the correlations among them. METHODS We simultaneously established rat postmenopausal, disuse-induced, and glucocorticoid-induced OP models. We used micro-CT and histological analyses to observe bone microstructure, three-point bending tests to measure bone strength, and enzyme-linked immunosorbent assay (ELISA) to evaluate the biochemical markers of bone turnover in the three rat OP models and the control. We applied 16s rDNA to analyze GM abundance and employed untargeted metabolomics to identify fecal metabolites in all four treatment groups. We implemented multi-omics methods to explore the relationships among OP, the GM, and its metabolites. RESULTS The 16S rDNA sequencing revealed that both the abundance and alterations of the GM significantly differed among the OP groups. In the postmenopausal OP model, the bacterial genera g__Bacteroidetes_unclassified, g__Firmicutes_unclassified, and g__Eggerthella had changed. In the disuse-induced and glucocorticoid-induced OP models, g__Akkermansia and g__Rothia changed, respectively. Untargeted metabolomics disclosed that the GM-derived metabolites significantly differed among the OP types. However, a Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis showed that it was mainly metabolites implicated in lipid and amino acid metabolism that were altered in all cases. An association analysis indicated that the histidine metabolism intermediate 4-(β-acetylaminoethyl) imidazole was common to all OP forms and was strongly correlated with all bone metabolism-related bacterial genera. Hence, 4-(β-acetylaminoethyl) imidazole might play a vital role in OP onset and progression. CONCLUSIONS The present work revealed the alterations in the GM and its metabolites that are associated with OP. It also disclosed the changes in the GM that are characteristic of each type of OP. Future research should endeavor to determine the causal and regulatory effects of the GM and the metabolites typical of each form of OP.
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Affiliation(s)
- Xiaochen Qiao
- Second Clinical Medical College, Shanxi Medical University, Taiyuan 030001, Shanxi, P.R. China
- Department of Orthopedics, The Second Hospital of Shanxi Medical University, Shanxi Key laboratory of Bone and Soft Tissue Injury Repair, Taiyuan 030001, Shanxi, P.R. China
- Department of Orthopedics, Jinzhong Hospital Affiliated to Shanxi Medical University, Jinzhong 030600, Shanxi, P.R. China
| | - Xiaoyan Li
- Shanxi Province Cancer Hospital, Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences, Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan 030013, Shanxi, P.R. China
| | - Zhichao Wang
- Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan 030032, Shanxi, China
| | - Yi Feng
- Second Clinical Medical College, Shanxi Medical University, Taiyuan 030001, Shanxi, P.R. China
- Department of Orthopedics, The Second Hospital of Shanxi Medical University, Shanxi Key laboratory of Bone and Soft Tissue Injury Repair, Taiyuan 030001, Shanxi, P.R. China
| | - Xiaochun Wei
- Second Clinical Medical College, Shanxi Medical University, Taiyuan 030001, Shanxi, P.R. China
- Department of Orthopedics, The Second Hospital of Shanxi Medical University, Shanxi Key laboratory of Bone and Soft Tissue Injury Repair, Taiyuan 030001, Shanxi, P.R. China
| | - Lu Li
- Second Clinical Medical College, Shanxi Medical University, Taiyuan 030001, Shanxi, P.R. China
- Department of Orthopedics, The Second Hospital of Shanxi Medical University, Shanxi Key laboratory of Bone and Soft Tissue Injury Repair, Taiyuan 030001, Shanxi, P.R. China
| | - Yongchun Pan
- Department of Orthopedics, Third People’s Hospital of Datong City, Datong 037006, Shanxi, P.R. China
| | - Kun Zhang
- Second Clinical Medical College, Shanxi Medical University, Taiyuan 030001, Shanxi, P.R. China
- Department of Orthopedics, The Second Hospital of Shanxi Medical University, Shanxi Key laboratory of Bone and Soft Tissue Injury Repair, Taiyuan 030001, Shanxi, P.R. China
| | - Ruhao Zhou
- Second Clinical Medical College, Shanxi Medical University, Taiyuan 030001, Shanxi, P.R. China
- Department of Orthopedics, The Second Hospital of Shanxi Medical University, Shanxi Key laboratory of Bone and Soft Tissue Injury Repair, Taiyuan 030001, Shanxi, P.R. China
| | - Lei Yan
- Second Clinical Medical College, Shanxi Medical University, Taiyuan 030001, Shanxi, P.R. China
- Department of Orthopedics, The Second Hospital of Shanxi Medical University, Shanxi Key laboratory of Bone and Soft Tissue Injury Repair, Taiyuan 030001, Shanxi, P.R. China
| | - Pengcui Li
- Second Clinical Medical College, Shanxi Medical University, Taiyuan 030001, Shanxi, P.R. China
- Department of Orthopedics, The Second Hospital of Shanxi Medical University, Shanxi Key laboratory of Bone and Soft Tissue Injury Repair, Taiyuan 030001, Shanxi, P.R. China
| | - Chaojian Xu
- Second Clinical Medical College, Shanxi Medical University, Taiyuan 030001, Shanxi, P.R. China
- Department of Orthopedics, The Second Hospital of Shanxi Medical University, Shanxi Key laboratory of Bone and Soft Tissue Injury Repair, Taiyuan 030001, Shanxi, P.R. China
| | - Zhi Lv
- Second Clinical Medical College, Shanxi Medical University, Taiyuan 030001, Shanxi, P.R. China
- Department of Orthopedics, The Second Hospital of Shanxi Medical University, Shanxi Key laboratory of Bone and Soft Tissue Injury Repair, Taiyuan 030001, Shanxi, P.R. China
| | - Zhi Tian
- Second Clinical Medical College, Shanxi Medical University, Taiyuan 030001, Shanxi, P.R. China
- Department of Orthopedics, The Second Hospital of Shanxi Medical University, Shanxi Key laboratory of Bone and Soft Tissue Injury Repair, Taiyuan 030001, Shanxi, P.R. China
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Qi W, Ma T, Ji Y, Jia H, Sun Q, Zhang D. Cordymin alleviates osteoporosis induced by hindlimb unloading via regulating the gut - microelements -bone axis --for non-clinical studies. BMC Musculoskelet Disord 2023; 24:932. [PMID: 38041019 PMCID: PMC10691132 DOI: 10.1186/s12891-023-07057-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Accepted: 11/22/2023] [Indexed: 12/03/2023] Open
Abstract
INTRODUCTION The purpose of this study was to evaluate the protective effects of cordymin on osteoporosis induced by hindlimb unloading(HLU) in rats and whether cordymin can prevent bone loss from HLU. MATERIALS AND METHODS We employed the hindlimb suspension rats model to mimic physiological changes concomitant with space travel.The mechanical strength in the femoral neck,cancellous bone volume, gut microbiota structure,serum calcium and phosphorus contents, bone mineral content and bone mineral content can be changed after hindlimb unloading. Oral cordymin was administered for 4 weeks,cordymin treatment significantly increased the mechanical strength through elevated bone volume/tissue volume (BV/TV), trabecular number (Tb. N), trabecular thickness (Tb. Th) and decreased trabecular separation (Tb. Sp). RESULTS Importantly, 16 S rRNA sequencing showed cordymin treatment regulated the various genera that were imbalanced in hindlimb unloading rats. At the same time,The plasma total calcium and inorganic phosphate concentrations in hindlimb unloading rats decreased and bone mineral content in the lumbar vertebrae and femur increased after treatment with cordymin. CONCLUSION These data indicate that the cordymin might exert bone protective effects indirectly via modulating the complex relationship between gut microbiota, microelements and bone loss.
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Affiliation(s)
- Wei Qi
- Department of Orthopaedics, Xijing Hospital, The Air Force Medical University, Xi'an, 710032, China
| | - Tiancheng Ma
- Department of Orthopaedics, Xijing Hospital, The Air Force Medical University, Xi'an, 710032, China
| | - Yufei Ji
- Department of Orthopaedics, Xijing Hospital, The Air Force Medical University, Xi'an, 710032, China
| | - Hong Jia
- Department of Orthopaedics, Xijing Hospital, The Air Force Medical University, Xi'an, 710032, China
| | - Qiang Sun
- Department of Orthopaedics, Xijing Hospital, The Air Force Medical University, Xi'an, 710032, China.
| | - Dawei Zhang
- Department of Orthopaedics, Xijing Hospital, The Air Force Medical University, Xi'an, 710032, China.
- , Xi'an, China.
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Wang Y, Li Y, Bo L, Zhou E, Chen Y, Naranmandakh S, Xie W, Ru Q, Chen L, Zhu Z, Ding C, Wu Y. Progress of linking gut microbiota and musculoskeletal health: casualty, mechanisms, and translational values. Gut Microbes 2023; 15:2263207. [PMID: 37800576 PMCID: PMC10561578 DOI: 10.1080/19490976.2023.2263207] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2023] [Accepted: 09/21/2023] [Indexed: 10/07/2023] Open
Abstract
The musculoskeletal system is important for balancing metabolic activity and maintaining health. Recent studies have shown that distortions in homeostasis of the intestinal microbiota are correlated with or may even contribute to abnormalities in musculoskeletal system function. Research has also shown that the intestinal flora and its secondary metabolites can impact the musculoskeletal system by regulating various phenomena, such as inflammation and immune and metabolic activities. Most of the existing literature supports that reasonable nutritional intervention helps to improve and maintain the homeostasis of intestinal microbiota, and may have a positive impact on musculoskeletal health. The purpose of organizing, summarizing and discussing the existing literature is to explore whether the intervention methods, including nutritional supplement and moderate exercise, can affect the muscle and bone health by regulating the microecology of the intestinal flora. More in-depth efficacy verification experiments will be helpful for clinical applications.
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Affiliation(s)
- Yu Wang
- Department of Health and Kinesiology, School of Physical Education, Jianghan University, Wuhan, China
| | - Yusheng Li
- Department of Orthopedics, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Lin Bo
- Department of Rheumatology, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Enyuan Zhou
- Department of Health and Kinesiology, School of Physical Education, Jianghan University, Wuhan, China
| | - Yanyan Chen
- Department of Health and Kinesiology, School of Physical Education, Jianghan University, Wuhan, China
| | - Shinen Naranmandakh
- School of Arts and Sciences, National University of Mongolia, Ulaanbaatar, Mongolia
| | - Wenqing Xie
- Department of Orthopedics, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Qin Ru
- Department of Health and Kinesiology, School of Physical Education, Jianghan University, Wuhan, China
| | - Lin Chen
- Department of Health and Kinesiology, School of Physical Education, Jianghan University, Wuhan, China
| | - Zhaohua Zhu
- Clinical Research Centre, Orthopedic Centre, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Changhai Ding
- Clinical Research Centre, Orthopedic Centre, Zhujiang Hospital, Southern Medical University, Guangzhou, China
- Department of Rheumatology, Guangzhou First People’s Hospital, School of Medicine, South China University of Technology, Guangzhou, China
- Department of Orthopaedics, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - Yuxiang Wu
- Department of Health and Kinesiology, School of Physical Education, Jianghan University, Wuhan, China
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Zhang N, Chen Y, Li C, Qin X, He D, Wei W, Zhao Y, Cai Q, Shi S, Chu X, Wen Y, Jia Y, Zhang F. A systematical association analysis of 25 common virus infection and genetic susceptibility of COVID-19 infection. Microbes Infect 2023; 25:105170. [PMID: 37315735 PMCID: PMC10259091 DOI: 10.1016/j.micinf.2023.105170] [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: 01/26/2023] [Revised: 06/02/2023] [Accepted: 06/07/2023] [Indexed: 06/16/2023]
Abstract
OBJECTIVES Previous studies identified a number of diseases were associated with 2019 coronavirus disease (COVID-19). However, the associations between these diseases related viral infections and COVID-19 remains unknown now. METHODS In this study, we utilized single nucleotide polymorphisms (SNPs) related to COVID-19 from genome-wide association study (GWAS) and individual-level genotype data from the UK biobank to calculate polygenic risk scores (PRS) of 487,409 subjects for eight COVID-19 clinical phenotypes. Then, multiple logistic regression models were established to assess the correlation between serological measurements (positive/negative) of 25 viruses and the PRS of eight COVID-19 clinical phenotypes. And we performed stratified analyses by age and gender. RESULTS In whole population, we identified 12 viruses associated with the PRS of COVID-19 clinical phenotypes, such as VZV seropositivity for Varicella Zoster Virus (Unscreened/Exposed_Negative: β = 0.1361, P = 0.0142; Hospitalized/Unscreened: β = 0.1167, P = 0.0385) and MCV seropositivity for Merkel Cell Polyomavirus (Unscreened/Exposed_Negative: β = -0.0614, P = 0.0478). After age stratification, we identified seven viruses associated with the PRS of eight COVID-19 clinical phenotypes in the age < 65 years group. After gender stratification, we identified five viruses associated with the PRS of eight COVID-19 clinical phenotypes in the women group. CONCLUSION Our study findings suggest that the genetic susceptibility to different COVID-19 clinical phenotypes is associated with the infection status of various common viruses.
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Affiliation(s)
- Na Zhang
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Yujing Chen
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Chun'e Li
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Xiaoyue Qin
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Dan He
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Wenming Wei
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Yijing Zhao
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Qingqing Cai
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Sirong Shi
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Xiaoge Chu
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Yan Wen
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Yumeng Jia
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Feng Zhang
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China; Department of Psychiatry, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
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9
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Zhang F, Xu J, Hu Y, Fang J, Yang M, Huang K, Xu W, He X. Diallyl trisulfide ameliorates bone loss and alters specific gut microbiota and serum metabolites in natural aging mice. Food Funct 2023; 14:7642-7653. [PMID: 37540026 DOI: 10.1039/d3fo01840g] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/05/2023]
Abstract
Aging is a major cause of bone loss and osteoporosis. Diallyl trisulfide (DATS), one of the main organic sulfides in garlic oil, has been shown to alleviate arthritis in mice. However, further research is still needed to determine how DATS affects bone formation and bone loss in aging mice. Here, we established a mouse model of natural aging for dietary DATS intervention. DATS treatment improved the bone microstructure, including the disorganized arrangement of bone trabeculae and promoted collagen synthesis, as confirmed by micro-CT and histological analyses. The abundance of beneficial bacteria for bone formation, such as Clostridiaceae and Erysipelotrichaceae, and the microbial diversity and community richness were all altered by DATS, according to 16S rRNA sequencing data. 14 potential biomarkers and 9 important metabolic pathways were examined using serum metabolomics analysis. Additionally, there has been a significant reduction in sphingosine, which is directly associated with bone metabolism. The level of sphingosine and relative abundance of Clostridium were found to be negatively correlated by correlation analysis, indicating that bacteria may regulate bone reconstruction via influencing metabolites. Furthermore, Runx2 and β-catenin gene expression levels increased in bones, which may be related to the ameliorative mechanism of DATS. Our results suggested that DATS may prevent age-related bone loss by upregulating osteogenic gene expression through altering gut microbes and serum metabolism.
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Affiliation(s)
- Feng Zhang
- Key Laboratory of Precision Nutrition and Food Quality, Key Laboratory of Functional Dairy, Ministry of Education; College of Food Science and Nutritional Engineering; China Agricultural University, Beijing 100083, China.
| | - Jia Xu
- Key Laboratory of Precision Nutrition and Food Quality, Key Laboratory of Functional Dairy, Ministry of Education; College of Food Science and Nutritional Engineering; China Agricultural University, Beijing 100083, China.
| | - Yanzhou Hu
- Key Laboratory of Precision Nutrition and Food Quality, Key Laboratory of Functional Dairy, Ministry of Education; College of Food Science and Nutritional Engineering; China Agricultural University, Beijing 100083, China.
| | - Jingjing Fang
- Key Laboratory of Precision Nutrition and Food Quality, Key Laboratory of Functional Dairy, Ministry of Education; College of Food Science and Nutritional Engineering; China Agricultural University, Beijing 100083, China.
| | - Minglan Yang
- Department of Clinical Nutrition, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Kunlun Huang
- Key Laboratory of Precision Nutrition and Food Quality, Key Laboratory of Functional Dairy, Ministry of Education; College of Food Science and Nutritional Engineering; China Agricultural University, Beijing 100083, China.
- Key Laboratory of Safety Assessment of Genetically Modified Organism (Food Safety), the Ministry of Agriculture and Rural Affairs of the P.R. China, Beijing, 100083, China
| | - Wentao Xu
- Key Laboratory of Safety Assessment of Genetically Modified Organism (Food Safety), the Ministry of Agriculture and Rural Affairs of the P.R. China, Beijing, 100083, China
- Department of Nutrition and Health, China Agricultural University, Beijing 100191, China
| | - Xiaoyun He
- Key Laboratory of Precision Nutrition and Food Quality, Key Laboratory of Functional Dairy, Ministry of Education; College of Food Science and Nutritional Engineering; China Agricultural University, Beijing 100083, China.
- Key Laboratory of Safety Assessment of Genetically Modified Organism (Food Safety), the Ministry of Agriculture and Rural Affairs of the P.R. China, Beijing, 100083, China
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10
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Cammann D, Lu Y, Cummings MJ, Zhang ML, Cue JM, Do J, Ebersole J, Chen X, Oh EC, Cummings JL, Chen J. Genetic correlations between Alzheimer's disease and gut microbiome genera. Sci Rep 2023; 13:5258. [PMID: 37002253 PMCID: PMC10066300 DOI: 10.1038/s41598-023-31730-5] [Citation(s) in RCA: 34] [Impact Index Per Article: 34.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2022] [Accepted: 03/16/2023] [Indexed: 04/03/2023] Open
Abstract
A growing body of evidence suggests that dysbiosis of the human gut microbiota is associated with neurodegenerative diseases like Alzheimer's disease (AD) via neuroinflammatory processes across the microbiota-gut-brain axis. The gut microbiota affects brain health through the secretion of toxins and short-chain fatty acids, which modulates gut permeability and numerous immune functions. Observational studies indicate that AD patients have reduced microbiome diversity, which could contribute to the pathogenesis of the disease. Uncovering the genetic basis of microbial abundance and its effect on AD could suggest lifestyle changes that may reduce an individual's risk for the disease. Using the largest genome-wide association study of gut microbiota genera from the MiBioGen consortium, we used polygenic risk score (PRS) analyses with the "best-fit" model implemented in PRSice-2 and determined the genetic correlation between 119 genera and AD in a discovery sample (ADc12 case/control: 1278/1293). To confirm the results from the discovery sample, we next repeated the PRS analysis in a replication sample (GenADA case/control: 799/778) and then performed a meta-analysis with the PRS results from both samples. Finally, we conducted a linear regression analysis to assess the correlation between the PRSs for the significant genera and the APOE genotypes. In the discovery sample, 20 gut microbiota genera were initially identified as genetically associated with AD case/control status. Of these 20, three genera (Eubacterium fissicatena as a protective factor, Collinsella, and Veillonella as a risk factor) were independently significant in the replication sample. Meta-analysis with discovery and replication samples confirmed that ten genera had a significant correlation with AD, four of which were significantly associated with the APOE rs429358 risk allele in a direction consistent with their protective/risk designation in AD association. Notably, the proinflammatory genus Collinsella, identified as a risk factor for AD, was positively correlated with the APOE rs429358 risk allele in both samples. Overall, the host genetic factors influencing the abundance of ten genera are significantly associated with AD, suggesting that these genera may serve as biomarkers and targets for AD treatment and intervention. Our results highlight that proinflammatory gut microbiota might promote AD development through interaction with APOE. Larger datasets and functional studies are required to understand their causal relationships.
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Affiliation(s)
- Davis Cammann
- Nevada Institute of Personalized Medicine, University of Nevada, Las Vegas 4505 S. Maryland Parkway, Las Vegas, NV, 89154, USA
| | - Yimei Lu
- Nevada Institute of Personalized Medicine, University of Nevada, Las Vegas 4505 S. Maryland Parkway, Las Vegas, NV, 89154, USA
| | - Melika J Cummings
- Nevada Institute of Personalized Medicine, University of Nevada, Las Vegas 4505 S. Maryland Parkway, Las Vegas, NV, 89154, USA
| | - Mark L Zhang
- Columbia University, West 116 St and Broadway, New York, NY, 10027, USA
| | - Joan Manuel Cue
- Nevada Institute of Personalized Medicine, University of Nevada, Las Vegas 4505 S. Maryland Parkway, Las Vegas, NV, 89154, USA
| | - Jenifer Do
- Nevada Institute of Personalized Medicine, University of Nevada, Las Vegas 4505 S. Maryland Parkway, Las Vegas, NV, 89154, USA
| | - Jeffrey Ebersole
- Department of Biomedical Sciences, University of Nevada, Las Vegas, NV, 89154, USA
| | - Xiangning Chen
- Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Edwin C Oh
- Nevada Institute of Personalized Medicine, University of Nevada, Las Vegas 4505 S. Maryland Parkway, Las Vegas, NV, 89154, USA
- Laboratory of Neurogenetics and Precision Medicine, University of Nevada Las Vegas, Las Vegas, NV, 89154, USA
- Department of Internal Medicine, UNLV School of Medicine, University of Nevada Las Vegas, Las Vegas, NV, 89154, USA
| | - Jeffrey L Cummings
- Department of Brain Health, School of Integrated Health Sciences, University of Nevada Las Vegas, Las Vegas, NV, USA
| | - Jingchun Chen
- Nevada Institute of Personalized Medicine, University of Nevada, Las Vegas 4505 S. Maryland Parkway, Las Vegas, NV, 89154, USA.
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11
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Zhang X, Adebayo AS, Wang D, Raza Y, Tomlinson M, Dooley H, Bowyer RC, Small KS, Steves CJ, Spector TD, Duncan EL, Visconti A, Falchi M. PPI-Induced Changes in Plasma Metabolite Levels Influence Total Hip Bone Mineral Density in a UK Cohort. J Bone Miner Res 2023; 38:326-334. [PMID: 36458982 PMCID: PMC10108201 DOI: 10.1002/jbmr.4754] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Revised: 11/08/2022] [Accepted: 11/26/2022] [Indexed: 12/05/2022]
Abstract
Proton pump inhibitors (PPIs) are among the most used drugs in the UK. PPI use has been associated with decreased bone mineral density (BMD) and increased fracture risk, although these results have been inconsistent. We hypothesized that PPI could modulate BMD by altering gut and/or host systemic metabolic environments. Using data from more than 5000 British male and female individuals, we confirmed that PPI use is associated with decreased lumbar spine and total hip BMD. This effect was not mediated through the gut microbiome. We suggest here that PPI use may influence total hip BMD, both directly and indirectly, via plasma metabolites involved in the sex hormone pathway. © 2022 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR).
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Affiliation(s)
- Xinyuan Zhang
- Department of Twins Research & Genetics EpidemiologyKing's College LondonLondonUK
| | - Adewale S. Adebayo
- Department of Twins Research & Genetics EpidemiologyKing's College LondonLondonUK
- Present address:
NIHR Leicester Biomedical Research Centre, Department of Cardiovascular SciencesUniversity of LeicesterLeicesterUK
| | - Dongmeng Wang
- Department of Twins Research & Genetics EpidemiologyKing's College LondonLondonUK
| | - Yasrab Raza
- Department of Twins Research & Genetics EpidemiologyKing's College LondonLondonUK
| | - Max Tomlinson
- Department of Twins Research & Genetics EpidemiologyKing's College LondonLondonUK
| | - Hannah Dooley
- Department of Twins Research & Genetics EpidemiologyKing's College LondonLondonUK
| | - Ruth C.E. Bowyer
- Department of Twins Research & Genetics EpidemiologyKing's College LondonLondonUK
| | - Kerrin S. Small
- Department of Twins Research & Genetics EpidemiologyKing's College LondonLondonUK
| | - Claire J. Steves
- Department of Twins Research & Genetics EpidemiologyKing's College LondonLondonUK
| | - Tim D. Spector
- Department of Twins Research & Genetics EpidemiologyKing's College LondonLondonUK
| | - Emma L. Duncan
- Department of Twins Research & Genetics EpidemiologyKing's College LondonLondonUK
| | - Alessia Visconti
- Department of Twins Research & Genetics EpidemiologyKing's College LondonLondonUK
| | - Mario Falchi
- Department of Twins Research & Genetics EpidemiologyKing's College LondonLondonUK
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12
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Kuo YJ, Chen CJ, Hussain B, Tsai HC, Hsu GJ, Chen JS, Asif A, Fan CW, Hsu BM. Inferring Bacterial Community Interactions and Functionalities Associated with Osteopenia and Osteoporosis in Taiwanese Postmenopausal Women. Microorganisms 2023; 11:microorganisms11020234. [PMID: 36838199 PMCID: PMC9959971 DOI: 10.3390/microorganisms11020234] [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: 12/02/2022] [Revised: 12/30/2022] [Accepted: 01/13/2023] [Indexed: 01/19/2023] Open
Abstract
Growing evidence suggests that the gut microbiota and their metabolites are associated with bone homeostasis and fragility. However, this association is limited to microbial taxonomic differences. This study aimed to explore whether gut bacterial community associations, composition, and functions are associated with osteopenia and osteoporosis. We compared the gut bacterial community composition and interactions of healthy postmenopausal women with normal bone density (n = 8) with those of postmenopausal women with osteopenia (n = 18) and osteoporosis (n = 21) through 16S rRNA sequencing coupled with network biology and statistical analyses. The results of this study showed reduced alpha diversity in patients with osteoporosis, followed by that in patients with osteopenia, then in healthy controls. Taxonomic analysis revealed that significantly enriched bacterial genera with higher abundance was observed in patients with osteoporosis and osteopenia than in healthy subjects. Additionally, a co-occurrence network revealed that, compared to healthy controls, bacterial interactions were higher in patients with osteoporosis, followed by those with osteopenia. Further, NetShift analysis showed that a higher number of bacteria drove changes in the microbial community structure of patients with osteoporosis than osteopenia. Correlation analysis revealed that most of these driver bacteria had a significant positive relationship with several significant metabolic pathways. Further, ordination analysis revealed that height and T-score were the primary variables influencing the gut microbial community structure. Taken together, this study evaluated that microbial community interaction is more important than the taxonomic differences in knowing the critical role of gut microbiota in postmenopausal women associated with osteopenia and osteoporosis. Additionally, the significantly enriched bacteria and functional pathways might be potential biomarkers for the prognosis and treatment of postmenopausal women with osteopenia and osteoporosis.
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Affiliation(s)
- Yi-Jie Kuo
- Department of Orthopedic Surgery, Wan Fang Hospital, Taipei Medical University, Taipei 116, Taiwan
| | - Chia-Jung Chen
- Department of Chinese Medicine, Dalin Tzu Chi Hospital, The Buddhist Tzu Chi Medical Foundation, Chiayi 622, Taiwan
| | - Bashir Hussain
- Department of Earth and Environmental Sciences, National Chung Cheng University, Chiayi 621, Taiwan
- Department of Biomedical Sciences, National Chung Cheng University, Chiayi 621, Taiwan
| | - Hsin-Chi Tsai
- Department of Psychiatry, School of Medicine, Tzu Chi University, Hualien 970, Taiwan
- Department of Psychiatry, Tzu-Chi General Hospital, Hualien 970, Taiwan
| | - Gwo-Jong Hsu
- Division of Infectious Disease, Department of Internal Medicine, Chia-Yi Christian Hospital, Chiayi 621, Taiwan
| | - Jung-Sheng Chen
- Department of Medical Research, E-Da Hospital, I-Shou University, Kaohsiung 824, Taiwan
- Correspondence: (J.-S.C.); (B.-M.H.); Tel.: +886-7-6151806 (J.-S.C.); +886-52720411 (ext. 66218) (B.-M.H.)
| | - Aslia Asif
- Department of Earth and Environmental Sciences, National Chung Cheng University, Chiayi 621, Taiwan
- Doctoral Program in Science, Technology, Environment and Mathematics, National Chung Cheng University, Chiayi 621, Taiwan
| | - Cheng-Wei Fan
- Department of Earth and Environmental Sciences, National Chung Cheng University, Chiayi 621, Taiwan
| | - Bing-Mu Hsu
- Department of Earth and Environmental Sciences, National Chung Cheng University, Chiayi 621, Taiwan
- Correspondence: (J.-S.C.); (B.-M.H.); Tel.: +886-7-6151806 (J.-S.C.); +886-52720411 (ext. 66218) (B.-M.H.)
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13
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Bauer-Estrada K, Sandoval-Cuellar C, Rojas-Muñoz Y, Quintanilla-Carvajal MX. The modulatory effect of encapsulated bioactives and probiotics on gut microbiota: improving health status through functional food. Food Funct 2023; 14:32-55. [PMID: 36515144 DOI: 10.1039/d2fo02723b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
The gut microbiota can be a determining factor of the health status of the host by its association with some diseases. It is known that dietary intake can modulate this microbiota through the consumption of compounds like essential oils, unsaturated fatty acids, non-digestible fiber, and probiotics, among others. However, these kinds of compounds can be damaged in the gastrointestinal tract as they pass through it to reach the intestine. This is due to the aggressive and changing conditions of this tract. For this reason, to guarantee that compounds arrive in the intestine at an adequate concentration to exert a modulatory effect on the gut microbiota, encapsulation should be sought. In this paper, we review the current research on compounds that modulate the gut microbiota, the encapsulation techniques used to protect the compounds through the gastrointestinal tract, in vitro models of this tract, and how these encapsulates interact with the gut microbiota. Finally, an overview of the regulatory status of these encapsulates is presented. The key findings are that prebiotics are the best modulators of gut microbiota fermentation metabolites. Also, probiotics promote an increase of beneficial gut microorganisms, which in some cases promotes their fermentation metabolites as well. Spray drying, freeze drying, and electrodynamics are notable encapsulation techniques that permit high encapsulation efficiency, high viability, and, together with wall materials, a high degree of protection against gastrointestinal conditions, allowing controlled release in the intestine and exerting a modulatory effect on gut microbiota.
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14
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Guo M, Liu H, Yu Y, Zhu X, Xie H, Wei C, Mei C, Shi Y, Zhou N, Qin K, Li W. Lactobacillus rhamnosus GG ameliorates osteoporosis in ovariectomized rats by regulating the Th17/Treg balance and gut microbiota structure. Gut Microbes 2023; 15:2190304. [PMID: 36941563 PMCID: PMC10038048 DOI: 10.1080/19490976.2023.2190304] [Citation(s) in RCA: 20] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/23/2023] Open
Abstract
BACKGROUND With increasing knowledge about the gut - bone axis, more studies for treatments based on the regulation of postmenopausal osteoporosis by gut microbes are being conducted. Based on our previous work, this study was conducted to further investigate the therapeutic effects of Lactobacillus rhamnosus GG (LGG) on ovariectomized (OVX) model rats and the immunological and microecological mechanisms involved. RESULTS We found a protective effect of LGG treatment in OVX rats through changes in bone microarchitecture, bone biomechanics, and CTX-I, PINP, Ca, and RANKL expression levels. LGG was more advantageous in promoting osteogenesis, which may be responsible for the alleviation of osteoporosis. Th17 cells were imbalanced with Treg cells in mediastinal lymph nodes and bone marrow, with RORγt and FOXP3 expression following a similar trend. TNF-α and IL-17 expression in colon and bone marrow increased, while TGF-β and IL-10 expression decreased; however, LGG treatment modulated these changes and improved the Th17/Treg balance significantly. Regarding the intestinal barrier, we found that LGG treatment ameliorated estrogen deficiency-induced inflammation and mucosal damage and increased the expression of GLP-2 R and tight junction proteins. Importantly, 16S rRNA sequencing showed a significant increase in the Firmicutes/Bacteroidetes ratio during estrogen deficiency. Dominant intestinal flora showed significant differences in composition; LGG treatment regulated the various genera that were imbalanced in OVX, along with modifying those that did not change significantly in other groups with respect to the intestinal barrier, inflammation development, and bile acid metabolism. CONCLUSIONS Overall, LGG ameliorated estrogen deficiency-induced osteoporosis by regulating the gut microbiome and intestinal barrier and stimulating Th17/Treg balance in gut and bone.
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Affiliation(s)
- Mengyu Guo
- School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, China
- Jiangsu Key Laboratory of Chinese Medicine Processing, Engineering Center of State Ministry of Education for Standardization of Chinese Medicine Processing, Nanjing University of Chinese Medicine, Nanjing, China
| | - Huanjin Liu
- School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, China
- Jiangsu Key Laboratory of Chinese Medicine Processing, Engineering Center of State Ministry of Education for Standardization of Chinese Medicine Processing, Nanjing University of Chinese Medicine, Nanjing, China
| | - Yinting Yu
- School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, China
- Jiangsu Key Laboratory of Chinese Medicine Processing, Engineering Center of State Ministry of Education for Standardization of Chinese Medicine Processing, Nanjing University of Chinese Medicine, Nanjing, China
| | - Xingyu Zhu
- School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, China
- Jiangsu Key Laboratory of Chinese Medicine Processing, Engineering Center of State Ministry of Education for Standardization of Chinese Medicine Processing, Nanjing University of Chinese Medicine, Nanjing, China
| | - Hui Xie
- School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, China
- Jiangsu Key Laboratory of Chinese Medicine Processing, Engineering Center of State Ministry of Education for Standardization of Chinese Medicine Processing, Nanjing University of Chinese Medicine, Nanjing, China
| | - Chenxu Wei
- School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, China
- Jiangsu Key Laboratory of Chinese Medicine Processing, Engineering Center of State Ministry of Education for Standardization of Chinese Medicine Processing, Nanjing University of Chinese Medicine, Nanjing, China
| | - Chunmei Mei
- School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, China
- Jiangsu Key Laboratory of Chinese Medicine Processing, Engineering Center of State Ministry of Education for Standardization of Chinese Medicine Processing, Nanjing University of Chinese Medicine, Nanjing, China
| | - Yun Shi
- School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, China
- Jiangsu Key Laboratory of Chinese Medicine Processing, Engineering Center of State Ministry of Education for Standardization of Chinese Medicine Processing, Nanjing University of Chinese Medicine, Nanjing, China
| | - Nong Zhou
- School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, China
- Jiangsu Key Laboratory of Chinese Medicine Processing, Engineering Center of State Ministry of Education for Standardization of Chinese Medicine Processing, Nanjing University of Chinese Medicine, Nanjing, China
| | - Kunming Qin
- School of Pharmacy, Jiangsu Ocean University, Lianyungang, China
| | - Weidong Li
- School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, China
- Jiangsu Key Laboratory of Chinese Medicine Processing, Engineering Center of State Ministry of Education for Standardization of Chinese Medicine Processing, Nanjing University of Chinese Medicine, Nanjing, China
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15
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Zhang H, Chen Y, Zhang J, Li C, Zhang Z, Pan C, Cheng S, Yang X, Meng P, Jia Y, Wen Y, Liu H, Zhang F. Assessing the joint effects of mitochondrial function and human behavior on the risks of anxiety and depression. J Affect Disord 2023; 320:561-567. [PMID: 36206883 DOI: 10.1016/j.jad.2022.09.157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Revised: 09/24/2022] [Accepted: 09/30/2022] [Indexed: 11/17/2022]
Abstract
BACKGROUND Psychiatric disorders have great health hazards and the exact pathogeny remains elusive now. We aim to explore the potential interaction effects of mitochondrial function and human behavior on the risks of anxiety and depression. METHODS The genome-wide association study (GWAS) data of mitochondrial function (N = 383,476-982,072) were obtained from published studies. Individual level genotype and phenotype data of anxiety, depression and behavioral factors (including drinking, smoking and physical activity) were all from the UK Biobank (N = 84,805-85,164). We first calculated the polygenic risk scores (PRS) of mitochondrial function as the instrumental variables, and then constructed linear regression analyses to systematically explore the potential interaction effects of mitochondrial function and human behavior on anxiety and depression. RESULTS In total samples, we observed mitochondrial heteroplasmy (MtHz) vs. Drinking (PGAD-7 = 6.49 × 10-3; PPHQ-9 = 1.89 × 10-3) was positively associated with both anxiety and depression. In males, MtHz vs. Drinking (PMale = 3.46 × 10-5) was positively correlated with depression. In females, blood mitochondrial DNA copy number (mtDNA-CN) vs. Drinking (PFemale = 8.63 × 10-3) was negatively related to anxiety. Furthermore, we identified additional 6 suggestive interaction effects (P < 0.05) for anxiety and depression. LIMITATIONS Considering all subjects were from UK Biobank, it should be careful to extrapolate our findings to other populations with different genetic background. CONCLUSIONS Our results suggest the significant impacts of mitochondrial function and human behavior interactions on the development of anxiety and depression, providing new clues for clarifying the pathogenesis of anxiety and depression.
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Affiliation(s)
- Huijie Zhang
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, 710061 Xi'an, People's Republic of China
| | - Yujing Chen
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, 710061 Xi'an, People's Republic of China
| | - Jingxi Zhang
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, 710061 Xi'an, People's Republic of China
| | - Chun'e Li
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, 710061 Xi'an, People's Republic of China
| | - Zhen Zhang
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, 710061 Xi'an, People's Republic of China
| | - Chuyu Pan
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, 710061 Xi'an, People's Republic of China
| | - Shiqiang Cheng
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, 710061 Xi'an, People's Republic of China
| | - Xuena Yang
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, 710061 Xi'an, People's Republic of China
| | - Peilin Meng
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, 710061 Xi'an, People's Republic of China
| | - Yumeng Jia
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, 710061 Xi'an, People's Republic of China
| | - Yan Wen
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, 710061 Xi'an, People's Republic of China
| | - Huan Liu
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, 710061 Xi'an, People's Republic of China
| | - Feng Zhang
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, 710061 Xi'an, People's Republic of China.
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Ul-Haq A, Seo H, Jo S, Park H, Kim S, Lee Y, Lee S, Jeong JH, Song H. Characterization of Fecal Microbiomes of Osteoporotic Patients in Korea. Pol J Microbiol 2022; 71:601-613. [PMID: 36537058 PMCID: PMC9944973 DOI: 10.33073/pjm-2022-045] [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: 07/11/2022] [Accepted: 09/11/2022] [Indexed: 12/24/2022] Open
Abstract
An imbalanced gut microbiome has been linked to a higher risk of many bone-related diseases. The objective of this study was to discover biomarkers of osteoporosis (OP). So, we collected 76 stool samples (60 human controls and 16 OP patients), extracted DNA, and performed 16S ribosomal ribonucleic acid (rRNA) gene-based amplicon sequencing. Among the taxa with an average taxonomic composition greater than 1%, only the Lachnospira genus showed a significant difference between the two groups. The Linear Discriminant Effect Size analysis and qPCR experiments indicated the Lachnospira genus as a potential biomarker of OP. Moreover, a total of 11 metabolic pathways varied between the two groups. Our study concludes that the genus Lachnospira is potentially crucial for diagnosing and treating osteoporosis. The findings of this study might help researchers better understand OP from a microbiome perspective. This research might develop more effective diagnostic and treatment methods for OP in the future.
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Affiliation(s)
- Asad Ul-Haq
- Probiotics Microbiome Convergence Center, Soonchunhyang University, Asan, Chungnam, Republic of Korea,Division of Rheumatology, Department of Internal Medicine, Soonchunhyang University Seoul Hospital, Seoul, Republic of Korea
| | - Hoonhee Seo
- Department of Microbiology and Immunology, School of Medicine, Soonchunhyang University, Cheonan-si, Chungnam, Republic of Korea,Probiotics Microbiome Convergence Center, Soonchunhyang University, Asan, Chungnam, Republic of Korea
| | - Sujin Jo
- Department of Microbiology and Immunology, School of Medicine, Soonchunhyang University, Cheonan-si, Chungnam, Republic of Korea
| | - Hyuna Park
- Department of Microbiology and Immunology, School of Medicine, Soonchunhyang University, Cheonan-si, Chungnam, Republic of Korea
| | - Sukyung Kim
- Probiotics Microbiome Convergence Center, Soonchunhyang University, Asan, Chungnam, Republic of Korea
| | - Youngkyoung Lee
- Department of Microbiology and Immunology, School of Medicine, Soonchunhyang University, Cheonan-si, Chungnam, Republic of Korea
| | - Saebim Lee
- Department of Microbiology and Immunology, School of Medicine, Soonchunhyang University, Cheonan-si, Chungnam, Republic of Korea,Probiotics Microbiome Convergence Center, Soonchunhyang University, Asan, Chungnam, Republic of Korea
| | - Je Hoon Jeong
- Department of Neurosurgery, Soonchunhyang University Bucheon Hospital, Bucheon, Gyeongi-do, Republic of Korea, H.-Y. Song, Department of Microbiology and Immunology, School of Medicine, Soonchunhyang University, Cheonan-si, Chungnam, Republic of Korea; Probiotics Microbiome Convergence Center, Soonchunhyang University, Asan, Chungnam, Republic of Korea; J.-H. Jeong, Department of Neurosurgery, Soonchunhyang University Bucheon Hospital, Bucheon, Gyeongi-do, Republic of Korea;
| | - Ho‑Yeon Song
- Department of Microbiology and Immunology, School of Medicine, Soonchunhyang University, Cheonan-si, Chungnam, Republic of Korea,Probiotics Microbiome Convergence Center, Soonchunhyang University, Asan, Chungnam, Republic of Korea, H.-Y. Song, Department of Microbiology and Immunology, School of Medicine, Soonchunhyang University, Cheonan-si, Chungnam, Republic of Korea; Probiotics Microbiome Convergence Center, Soonchunhyang University, Asan, Chungnam, Republic of Korea; J.-H. Jeong, Department of Neurosurgery, Soonchunhyang University Bucheon Hospital, Bucheon, Gyeongi-do, Republic of Korea;
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Ibrahim I, Syamala S, Ayariga JA, Xu J, Robertson BK, Meenakshisundaram S, Ajayi OS. Modulatory Effect of Gut Microbiota on the Gut-Brain, Gut-Bone Axes, and the Impact of Cannabinoids. Metabolites 2022; 12:metabo12121247. [PMID: 36557285 PMCID: PMC9781427 DOI: 10.3390/metabo12121247] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 11/30/2022] [Accepted: 12/08/2022] [Indexed: 12/14/2022] Open
Abstract
The gut microbiome is a collection of microorganisms and parasites in the gastrointestinal tract. Many factors can affect this community's composition, such as age, sex, diet, medications, and environmental triggers. The relationship between the human host and the gut microbiota is crucial for the organism's survival and development, whereas the disruption of this relationship can lead to various inflammatory diseases. Cannabidiol (CBD) and tetrahydrocannabinol (THC) are used to treat muscle spasticity associated with multiple sclerosis. It is now clear that these compounds also benefit patients with neuroinflammation. CBD and THC are used in the treatment of inflammation. The gut is a significant source of nutrients, including vitamins B and K, which are gut microbiota products. While these vitamins play a crucial role in brain and bone development and function, the influence of gut microbiota on the gut-brain and gut-bone axes extends further and continues to receive increasing scientific scrutiny. The gut microbiota has been demonstrated to be vital for optimal brain functions and stress suppression. Additionally, several studies have revealed the role of gut microbiota in developing and maintaining skeletal integrity and bone mineral density. It can also influence the development and maintenance of bone matrix. The presence of the gut microbiota can influence the actions of specific T regulatory cells, which can lead to the development of bone formation and proliferation. In addition, its metabolites can prevent bone loss. The gut microbiota can help maintain the bone's equilibrium and prevent the development of metabolic diseases, such as osteoporosis. In this review, the dual functions gut microbiota plays in regulating the gut-bone axis and gut-brain axis and the impact of CBD on these roles are discussed.
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Affiliation(s)
- Iddrisu Ibrahim
- The Microbiology Program, Department of Biological Sciences, College of Science, Technology, Engineering, and Mathematics (C-STEM), Alabama State University, Montgomery, AL 36104, USA
| | - Soumyakrishnan Syamala
- Departments of Medicine, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA
| | - Joseph Atia Ayariga
- The Industrial Hemp Program, College of Science, Technology, Engineering, and Mathematics (C-STEM), Alabama State University, Montgomery, AL 36104, USA
- Correspondence: (J.A.A.); (O.S.A.)
| | - Junhuan Xu
- The Industrial Hemp Program, College of Science, Technology, Engineering, and Mathematics (C-STEM), Alabama State University, Montgomery, AL 36104, USA
| | - Boakai K. Robertson
- The Microbiology Program, Department of Biological Sciences, College of Science, Technology, Engineering, and Mathematics (C-STEM), Alabama State University, Montgomery, AL 36104, USA
| | - Sreepriya Meenakshisundaram
- Department of Microbiology and Biotechnology, JB Campus, Bangalore University, Bangalore 560 056, Karnataka, India
| | - Olufemi S. Ajayi
- The Industrial Hemp Program, College of Science, Technology, Engineering, and Mathematics (C-STEM), Alabama State University, Montgomery, AL 36104, USA
- Correspondence: (J.A.A.); (O.S.A.)
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18
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Zhang X, Man KW, Li GHY, Tan KCB, Kung AWC, Cheung CL. Osteoporosis is a novel risk factor of infections and sepsis: A cohort study. EClinicalMedicine 2022; 49:101488. [PMID: 35747178 PMCID: PMC9189871 DOI: 10.1016/j.eclinm.2022.101488] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Revised: 05/11/2022] [Accepted: 05/16/2022] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Accumulating evidence suggests the interaction of bone metabolism and the immune system, but how bone health is associated with the risk of infections remains unknown. METHODS This study aimed to investigate the relationship of bone mineral density (BMD) with the risk of common infections and sepsis in Hong Kong Osteoporosis Study (HKOS). A prospective cohort study, initiated in 1995 and followed until 31 December 2020, of 5,717 participants examined the association of BMD at three skeletal sites (lumbar spine, femoral neck, and total hip) with common infections - pneumonia, urinary tract infection (UTI), skin infection, and sepsis. Cox proportional hazards models were used to estimate hazard ratios (HR) and 95% confidence intervals (CI). FINDINGS During the median follow-up of 17 years, higher BMD T-scores at the femoral neck and total hip were significantly associated with the reduced risk of pneumonia (HRs 0.89 and 0.87; 95% CIs 0.82 to 0.98 and 0.81 to 0.95), UTI (HRs 0.85 and 0.86; 95% CIs 0.76 to 0.94 and 0.78 to 0.95), skin infection (HRs 0.85 and 0.82; 95% CIs 0.74 to 0.97 and 0.73 to 0.93), and sepsis (HRs 0.83 and 0.82; 95% CIs 0.71 to 0.97 and 0.72 to 0.94). A significant association was observed for the lumbar spine BMD T-score with the risk of skin infection (HR 0.86; 95% CI: 0.78 to 0.95) but not with other infections and sepsis. Similarly, participants with osteoporosis, but not osteopenia, were significantly associated with an increased risk of infections and sepsis compared to those with normal BMD. INTERPRETATION BMD is a novel risk factor of infections and sepsis. People with low BMD, particularly those with osteoporosis, are at higher risk of infections and sepsis than those with normal BMD. Further studies on whether improving bone health can reduce the risk of infections and sepsis are warranted. FUNDING None.
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Affiliation(s)
- Xiaowen Zhang
- Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, The University of Hong Kong
| | - Kwong-Wai Man
- Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, The University of Hong Kong
| | - Gloria Hoi-Yee Li
- Department of Health Technology and Informatics, Faculty of Health and Social Sciences, The Hong Kong Polytechnic University
| | - Kathryn CB Tan
- Department of Medicine, Queen Mary Hospital, LKS Faculty of Medicine, The University of Hong Kong
| | - Annie Wai-Chee Kung
- Department of Medicine, Queen Mary Hospital, LKS Faculty of Medicine, The University of Hong Kong
| | - Ching-Lung Cheung
- Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, The University of Hong Kong
- Corresponding Author, Ching-Lung Cheung, PhD, Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, The University of Hong Kong, 21 Sassoon Road, Pokfulam, Hong Kong, Tel: +852-3917-9462 Fax: +852-2816-2095.
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Mendonça F, Soares R, Carvalho D, Freitas P. The Impact of Bariatric Surgery on Bone Health: State of the Art and New Recognized Links. Horm Metab Res 2022; 54:131-144. [PMID: 35276738 DOI: 10.1055/a-1767-5581] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
Bariatric surgery (BS) is the most effective therapy for severe obesity, which improves several comorbidities (such as diabetes, hypertension, dyslipidemia, among others) and results in marked weight loss. Despite these consensual beneficial effects, sleeve gastrectomy and Roux-en-Y gastric bypass (the two main bariatric techniques) have also been associated with changes in bone metabolism and progressive bone loss. The objective of this literature review is to examine the impact of bariatric surgery on bone and its main metabolic links, and to analyze the latest findings regarding the risk of fracture among patients submitted to bariatric surgery.
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Affiliation(s)
- Fernando Mendonça
- Serviço de Endocrinologia, Diabetes e Metabolismo, Centro Hospitalar e Universitário de S. João, Porto, Portugal
- Faculdade de Medicina da Universidade do Porto, Porto, Portugal
| | - Raquel Soares
- Faculdade de Medicina da Universidade do Porto, Porto, Portugal
- Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal
- Departamento de Biomedicina, Faculdade de Medicina da Universidade do Porto, Porto, Portugal
| | - Davide Carvalho
- Serviço de Endocrinologia, Diabetes e Metabolismo, Centro Hospitalar e Universitário de S. João, Porto, Portugal
- Faculdade de Medicina da Universidade do Porto, Porto, Portugal
- Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal
| | - Paula Freitas
- Serviço de Endocrinologia, Diabetes e Metabolismo, Centro Hospitalar e Universitário de S. João, Porto, Portugal
- Faculdade de Medicina da Universidade do Porto, Porto, Portugal
- Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal
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20
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Zhang H, Liu L, Cheng S, Jia Y, Wen Y, Yang X, Meng P, Li C, Pan C, Chen Y, Zhang Z, Zhang J, Zhang F. Assessing the joint effects of brain aging and gut microbiota on the risks of psychiatric disorders. Brain Imaging Behav 2022; 16:1504-1515. [PMID: 35076893 DOI: 10.1007/s11682-022-00630-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/30/2021] [Indexed: 12/20/2022]
Abstract
We aim to explore the potential interaction effects of brain aging and gut microbiota on the risks of sleep, anxiety and depression disorders. The genome-wide association study (GWAS) datasets of brain aging (N = 21,407) and gut microbiota (N = 3,890) were obtained from published studies. Individual level genotype and phenotype data of psychiatric traits (including sleep, anxiety and depression) were all from the UK Biobank (N = 107,947-374,505). We first calculated the polygenic risk scores (PRS) of 62 brain aging modes and 114 gut microbiota taxa as the instrumental variables, and then constructed linear and logistic regression analyses to systematically explore the potential interaction effects of brain aging and gut microbiota on psychiatric disorders. We observed the interaction effects of brain aging and gut microbiota on sleep, anxiety and depression disorders, such as Putamen/caudate T2* vs. Rhodospirillales (β = -0.012, P = 8.4 × 10-4) was negatively associated with chronotype, Fornix MD vs. Holdemanella (β = -0.007, P = 1.76 × 10-2) was negatively related to general anxiety disorder (GAD) scores, and White matter lesions vs. Acidaminococcaceae (β = 0.019, P = 1.29 × 10-3) was positively correlated with self-reported depression. Interestingly, Putamen volume vs. Intestinibacter was associated with all three psychiatric disorders, including chronotype (negative correlation), GAD scores (positive correlation) and self-reported depression (positive correlation). Our study results suggest the significant impacts of brain aging and gut microbiota on the development of sleep, anxiety and depression disorders, providing new clues for clarifying the pathogenesis of these disorders.
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Affiliation(s)
- Huijie Zhang
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, 710061, Xi'an, People's Republic of China
| | - Li Liu
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, 710061, Xi'an, People's Republic of China
| | - Shiqiang Cheng
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, 710061, Xi'an, People's Republic of China
| | - Yumeng Jia
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, 710061, Xi'an, People's Republic of China
| | - Yan Wen
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, 710061, Xi'an, People's Republic of China
| | - Xuena Yang
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, 710061, Xi'an, People's Republic of China
| | - Peilin Meng
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, 710061, Xi'an, People's Republic of China
| | - Chun'e Li
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, 710061, Xi'an, People's Republic of China
| | - Chuyu Pan
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, 710061, Xi'an, People's Republic of China
| | - Yujing Chen
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, 710061, Xi'an, People's Republic of China
| | - Zhen Zhang
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, 710061, Xi'an, People's Republic of China
| | - Jingxi Zhang
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, 710061, Xi'an, People's Republic of China
| | - Feng Zhang
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, 710061, Xi'an, People's Republic of China.
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21
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Jia X, Yang R, Li J, Zhao L, Zhou X, Xu X. Gut-Bone Axis: A Non-Negligible Contributor to Periodontitis. Front Cell Infect Microbiol 2021; 11:752708. [PMID: 34869062 PMCID: PMC8637199 DOI: 10.3389/fcimb.2021.752708] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Accepted: 10/26/2021] [Indexed: 02/05/2023] Open
Abstract
Periodontitis is a polymicrobial infectious disease characterized by alveolar bone loss. Systemic diseases or local infections, such as diabetes, postmenopausal osteoporosis, obesity, and inflammatory bowel disease, promote the development and progression of periodontitis. Accumulating evidences have revealed the pivotal effects of gut microbiota on bone health via gut-alveolar-bone axis. Gut pathogens or metabolites may translocate to distant alveolar bone via circulation and regulate bone homeostasis. In addition, gut pathogens can induce aberrant gut immune responses and subsequent homing of immunocytes to distant organs, contributing to pathological bone loss. Gut microbial translocation also enhances systemic inflammation and induces trained myelopoiesis in the bone marrow, which potentially aggravates periodontitis. Furthermore, gut microbiota possibly affects bone health via regulating the production of hormone or hormone-like substances. In this review, we discussed the links between gut microbiota and periodontitis, with a particular focus on the underlying mechanisms of gut-bone axis by which systemic diseases or local infections contribute to the pathogenesis of periodontitis.
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Affiliation(s)
- Xiaoyue Jia
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China.,Department of Pediatric Dentistry, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Ran Yang
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China.,Department of Pediatric Dentistry, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Jiyao Li
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China.,Department of Cariology and Endodontics, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Lei Zhao
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China.,Department of Periodontology, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Xuedong Zhou
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China.,Department of Cariology and Endodontics, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Xin Xu
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China.,Department of Cariology and Endodontics, West China Hospital of Stomatology, Sichuan University, Chengdu, China
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22
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Yao Y, Chu X, Ma M, Ye J, Wen Y, Li P, Cheng B, Cheng S, Zhang L, Liu L, Qi X, Liang C, Kafle OP, Wu C, Wang S, Wang X, Ning Y, Zhang F. Evaluate the effects of serum urate level on bone mineral density: a genome-wide gene-environment interaction analysis in UK Biobank cohort. Endocrine 2021; 73:702-711. [PMID: 34046847 DOI: 10.1007/s12020-021-02760-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/04/2020] [Accepted: 05/07/2021] [Indexed: 11/27/2022]
Abstract
INTRODUCTION Serum urate is associated with BMD and may be a protective factor. However, the exact association and mechanism are still unclear. We performed a genome-wide gene-environmental interaction study (GWGEIS) to explore the interaction effects between gene and urate on BMD, using data from the UK Biobank cohort. METHODS A total of 4575 participants for femur total BMD, 4561 participants for L1-L4 BMD, and 237799 participants for heel BMD were included in the present study. Linear regression models were used to test for associations between urate and BMD (femur total BMD, L1-L4 BMD, heel BMD) by R software. GWGEIS was conducted by PLINK 2.0 using a generalize linear model, adjusted for age, sex, weight, smoking behavior, drinking behavior, physical activity and 10 principle components for population structure. RESULTS Results showed that urate was positively associated with femur total BMD, L1-L4 BMD and heel BMD and similar findings were observed in both the male and female subgroups. GWGEIS identified 261 genome-wide significant (P < 5.00 × 10-8) SNP × urate interaction effects for femur total BMD (rs8192585 in NOTCH4, rs116080577 in PBX1, rs9409991 in COL5A1), 17 genome-wide significant SNP × urate interaction effects for heel BMD (rs145344540 in PDE11A and rs78485379 in DKK2), 17 suggestive genome-wide SNP × urate interaction effects (P < 1.00 × 10-5) for L1-L4 BMD (rs10977015 in PTPRD). We also detected genome-wide significant and suggestive SNP × urate interaction effects for BMD in both the male and female subgroups. CONCLUSIONS This study reported several novel candidate genes, and strengthen the evidence of the interactive effects between gene and urate on the variations of BMD.
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Affiliation(s)
- Yao Yao
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Xiaomeng Chu
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Mei Ma
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Jing Ye
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Yan Wen
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Ping Li
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Bolun Cheng
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Shiqiang Cheng
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Lu Zhang
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Li Liu
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Xin Qi
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Chujun Liang
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Om Prakash Kafle
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Cuiyan Wu
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Sen Wang
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Xi Wang
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Yujie Ning
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Feng Zhang
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China.
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Probiotics as a New Regulator for Bone Health: A Systematic Review and Meta-Analysis. EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE 2021; 2021:3582989. [PMID: 34394379 PMCID: PMC8355998 DOI: 10.1155/2021/3582989] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/29/2021] [Revised: 07/15/2021] [Accepted: 07/21/2021] [Indexed: 01/14/2023]
Abstract
Despite the proposed role of the gut microbiota-bone axis, findings on the association between probiotic consumption and bone health are conflicting. This systematic review aimed to assess the effect of probiotic consumption on bone health parameters. A systematic literature search of relevant reports published in PubMed/Medline, Web of Science, SCOPUS, EMBASE, and Google scholar before December 2020 was conducted. All clinical trials or experimental studies, which examined the relationship between probiotic consumption and bone health parameters, were included. No limitation was applied during the search. After screening articles based on inclusion criteria, 44 studies remained. In clinical trials, probiotic consumption affects bone health parameters such as serum calcium levels (3.82; 95% CI: 1.05, 6.59 mmol/l), urinary calcium levels (4.85; 95% CI: 1.16, 8.53 mmol/l), and parathyroid hormone (PTH) levels (−5.53; 95% CI: −9.83, −0.86 ng/l). In most studies, Lactobacillus species such as L. helveticus, L. reuteri, and L. casei were consumed and women aged 50 years or older were assessed. Spinal and total hip bone mineral density (BMD) was not affected significantly by probiotic consumption. In 37 animal experiments, probiotic or symbiotic feeding mostly had effects on bone health parameters. Some strains of Bifidobacterium and Lactobacillus including L. reuteri, L. casei, L. paracasei, L. bulgaricus, and L. acidophilus have indicated beneficial effects on bone health parameters. In conclusion, this systematic review and meta-analysis indicate that probiotic supplementation might improve bone health. Further studies are needed to decide on the best probiotic species and appropriate dosages.
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Abstract
PURPOSE OF REVIEW Patients with diabetes mellitus (DM) are at increased risk of developing osteopathogenesis and skeletal fragility. The role of the gut microbiota in both DM and osteopathy is not fully explored and may be involved in the pathology of both diseases. RECENT FINDINGS Gut microbiota alterations have been observed in DM and osteopathogenic disorders as compared with healthy controls, such as significantly lower abundance of Prevotella and higher abundance of Lactobacillus, with a diminished bacterial diversity. Other overlapping gastro-intestinal features include the loss of intestinal barrier function with translocation of bacterial metabolites to the blood stream, induction of immunological deficits and changes in hormonal and endocrinal signalling, which may lead to the development of diabetic osteopathy. Signalling pathways involved in both DM and osteopathy are affected by gut bacteria and their metabolites. Future studies should focus on gut microbiota involvement in both diseases.
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Affiliation(s)
- Julie Kristine Knudsen
- Centre for Clinical Research, North Denmark Regional Hospital, Bispensgade 37, 9800, Hjørring, Denmark.
- Department of Clinical Medicine, Aalborg University, Søndre Skovvej 15, Aalborg, Denmark.
| | - Peter Leutscher
- Centre for Clinical Research, North Denmark Regional Hospital, Bispensgade 37, 9800, Hjørring, Denmark
- Department of Clinical Medicine, Aalborg University, Søndre Skovvej 15, Aalborg, Denmark
- Steno Diabetes Center North Jutland, Mølleparkvej 4, Aalborg, Denmark
| | - Suzette Sørensen
- Centre for Clinical Research, North Denmark Regional Hospital, Bispensgade 37, 9800, Hjørring, Denmark
- Department of Clinical Medicine, Aalborg University, Søndre Skovvej 15, Aalborg, Denmark
- Steno Diabetes Center North Jutland, Mølleparkvej 4, Aalborg, Denmark
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25
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The associations of gut microbiota and fecal short-chain fatty acids with bone mass were largely mediated by weight status: a cross-sectional study. Eur J Nutr 2021; 60:4505-4517. [PMID: 34129072 DOI: 10.1007/s00394-021-02597-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Accepted: 05/21/2021] [Indexed: 12/29/2022]
Abstract
PURPOSE We aimed to investigate whether the gut microbiota and fecal short-chain fatty acids (SCFAs) are associated with bone mass in healthy children aged 6-9 years. METHODS In this study, 236 healthy children including 145 boys and 91 girls were enrolled. 16S rRNA gene sequencing was used to characterize the composition of their gut microbiota. Total and 10 subtypes of SCFAs in the fecal samples were determined by high-performance liquid chromatography. Dual X-ray absorptiometry was used to measure the bone mineral density (BMD) and bone mineral content (BMC) for total body (TB) and total body less head (TBLH). Z score of TBLH BMD was calculated based on the recommended reference. RESULTS Four gut microbiota principal components (PCs) were identified by the compositional principal component analysis at the genus level. After adjustment of covariates and controlling for the false discovery rate, multiple linear regression analysis showed that PC3 score (positive loadings on genera Lachnoclostridium and Blautia) was significantly negatively associated with TBLH BMD/BMC/Z score, TB BMC and pelvic BMD (β: - 0.207 to - 0.108, p: 0.002-0.048), whereas fecal total and several subtypes of SCFAs were correlated positively with TBLH BMD/Z score and pelvic BMD (β: 0.118-0.174, p: 0.038-0.048). However, these associations disappeared after additional adjustment for body weight. Mediation analysis suggested that body weight significantly mediated 60.4% and 78.0% of the estimated association of PC3 score and SCFAs with TBLH BMD Z score, respectively. CONCLUSIONS The associations of gut microbiota composition and fecal SCFA concentrations with bone mass in children were largely mediated by body weight.
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Abstract
PURPOSE OF THE REVIEW The human gut harbors a complex community of microbes that influence many processes regulating musculoskeletal development and homeostasis. This review gives an update on the current knowledge surrounding the impact of the gut microbiota on musculoskeletal health, with an emphasis on research conducted over the last three years. RECENT FINDINGS The gut microbiota and their metabolites are associated with sarcopenia, osteoporosis, osteoarthritis, and rheumatoid arthritis. The field is moving fast from describing simple correlations to pursue establishing causation through clinical trials. The gut microbiota and their microbial-synthesized metabolites hold promise for offering new potential alternatives for the prevention and treatment of musculoskeletal diseases given its malleability and response to environmental stimuli.
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Affiliation(s)
- R Li
- Department of Internal Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - C G Boer
- Department of Internal Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - L Oei
- Department of Internal Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Department of Internal Medicine, Leiden University Medical Center, Leiden, The Netherlands
| | - Carolina Medina-Gomez
- Department of Internal Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands.
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Lee EJ, Shin CM, Lee DH, Han K, Park SH, Kim YJ, Yoon H, Park YS, Kim N. The Association Between Cholecystectomy and the Risk for Fracture: A Nationwide Population-Based Cohort Study in Korea. Front Endocrinol (Lausanne) 2021; 12:657488. [PMID: 34122336 PMCID: PMC8190474 DOI: 10.3389/fendo.2021.657488] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2021] [Accepted: 04/28/2021] [Indexed: 01/29/2023] Open
Abstract
Objectives To evaluate the risk of fracture in individuals with a history of cholecystectomy in Korean population. Methods Individuals (n = 143,667) aged ≥ 40 y who underwent cholecystectomy between 2010 and 2015 and the controls (n = 255,522), matched by age and sex, were identified from the database of the Korean National Health Insurance Services. The adjusted hazard ratio (aHR) and 95% confidence interval (CI) of fracture were estimated following cholecystectomy, and a Cox regression analysis was performed. Results The incidence rates of all fractures, vertebral, and hip fractures were 14.689, 6.483 and 1.228 cases per 1000 person-years respectively in the cholecystectomy group, whereas they were 13.862, 5.976, and 1.019 cases per 1000 person-years respectively in the control group. After adjustment for age, sex, income, place of residence, diabetes mellitus, hypertension, dyslipidemia, smoking, alcohol drinking, exercise, and body mass index, patients who underwent cholecystectomy showed an increased risk of all fractures, vertebral fractures, and hip fractures (aHR [95% CI]: 1.095 [1.059-1.132], 1.134 [1.078-1.193], and 1.283 [1.139-1.444] for all fractures, vertebral fractures, and hip fractures, respectively). The risk of vertebral fractures following cholecystectomy was more prominent in the young age group (40 to 49 y) than in the old age group (≥ 65 y) (1.366 [1.082-1.724] vs. 1.132 [1.063-1.206], respectively). However, the incidence of hip fractures following cholecystectomy was not affected by age. Conclusion Individuals who underwent cholecystectomy have an increased risk of fracture. In the younger population, the risk of vertebral fractures may be further increased following cholecystectomy.
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Affiliation(s)
- Eun Ji Lee
- Department of Internal Medicine and Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Cheol Min Shin
- Department of Internal Medicine and Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Dong Ho Lee
- Department of Internal Medicine and Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Kyungdo Han
- Department of Statistics and Actuarial Science, Soongsil University, Seoul, South Korea
| | - Sang Hyun Park
- Department of Medical Statistics, College of Medicine, Catholic University of Korea, Seoul, South Korea
| | - Yoo Jin Kim
- Department of Internal Medicine and Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Hyuk Yoon
- Department of Internal Medicine and Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Young Soo Park
- Department of Internal Medicine and Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Nayoung Kim
- Department of Internal Medicine and Seoul National University Bundang Hospital, Seongnam, South Korea
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28
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Tu Y, Yang R, Xu X, Zhou X. The microbiota-gut-bone axis and bone health. J Leukoc Biol 2021; 110:525-537. [PMID: 33884666 DOI: 10.1002/jlb.3mr0321-755r] [Citation(s) in RCA: 49] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Revised: 03/16/2021] [Accepted: 04/05/2021] [Indexed: 02/05/2023] Open
Abstract
The gastrointestinal tract is colonized by trillions of microorganisms, consisting of bacteria, fungi, and viruses, known as the "second gene pool" of the human body. In recent years, the microbiota-gut-bone axis has attracted increasing attention in the field of skeletal health/disorders. The involvement of gut microbial dysbiosis in multiple bone disorders has been recognized. The gut microbiota regulates skeletal homeostasis through its effects on host metabolism, immune function, and hormonal secretion. Owing to the essential role of the gut microbiota in skeletal homeostasis, novel gut microbiota-targeting therapeutics, such as probiotics and prebiotics, have been proven effective in preventing bone loss. However, more well-controlled clinical trials are still needed to evaluate the long-term efficacy and safety of these ecologic modulators in the treatment of bone disorders.
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Affiliation(s)
- Ye Tu
- State Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, P.R. China.,Department of Cariology and Endodontics, West China Hospital of Stomatology, Sichuan University, Chengdu, P.R. China
| | - Ran Yang
- State Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, P.R. China.,Department of Pediatric Dentistry, West China Hospital of Stomatology, Sichuan University, Chengdu, P.R. China
| | - Xin Xu
- State Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, P.R. China.,Department of Cariology and Endodontics, West China Hospital of Stomatology, Sichuan University, Chengdu, P.R. China
| | - Xuedong Zhou
- State Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, P.R. China.,Department of Cariology and Endodontics, West China Hospital of Stomatology, Sichuan University, Chengdu, P.R. China
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29
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Pulik L, Grabowska N, Olbrys M, Gorecka K, Legosz P. Letter to the Editor: Disruption of the Gut Microbiome Increases the Risk of Periprosthetic Joint Infection in Mice. Clin Orthop Relat Res 2021; 479:855-857. [PMID: 33605632 PMCID: PMC8083926 DOI: 10.1097/corr.0000000000001680] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Accepted: 01/22/2021] [Indexed: 01/31/2023]
Affiliation(s)
- Lukasz Pulik
- L. Pulik, N. Grabowska, M. Olbrys, K. Gorecka, P. Legosz, Department of Orthopaedics and Traumatology, Medical University of Warsaw, Warsaw, Poland
- N. Grabowska, M. Olbrys, K. Gorecka, Department of Medicine, Medical University of Warsaw, Warsaw, Poland
| | - Nina Grabowska
- L. Pulik, N. Grabowska, M. Olbrys, K. Gorecka, P. Legosz, Department of Orthopaedics and Traumatology, Medical University of Warsaw, Warsaw, Poland
- N. Grabowska, M. Olbrys, K. Gorecka, Department of Medicine, Medical University of Warsaw, Warsaw, Poland
| | - Mateusz Olbrys
- L. Pulik, N. Grabowska, M. Olbrys, K. Gorecka, P. Legosz, Department of Orthopaedics and Traumatology, Medical University of Warsaw, Warsaw, Poland
- N. Grabowska, M. Olbrys, K. Gorecka, Department of Medicine, Medical University of Warsaw, Warsaw, Poland
| | - Karolina Gorecka
- L. Pulik, N. Grabowska, M. Olbrys, K. Gorecka, P. Legosz, Department of Orthopaedics and Traumatology, Medical University of Warsaw, Warsaw, Poland
- N. Grabowska, M. Olbrys, K. Gorecka, Department of Medicine, Medical University of Warsaw, Warsaw, Poland
| | - Pawel Legosz
- L. Pulik, N. Grabowska, M. Olbrys, K. Gorecka, P. Legosz, Department of Orthopaedics and Traumatology, Medical University of Warsaw, Warsaw, Poland
- N. Grabowska, M. Olbrys, K. Gorecka, Department of Medicine, Medical University of Warsaw, Warsaw, Poland
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30
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Ni JJ, Yang XL, Zhang H, Xu Q, Wei XT, Feng GJ, Zhao M, Pei YF, Zhang L. Assessing causal relationship from gut microbiota to heel bone mineral density. Bone 2021; 143:115652. [PMID: 32971307 DOI: 10.1016/j.bone.2020.115652] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Revised: 09/04/2020] [Accepted: 09/16/2020] [Indexed: 12/28/2022]
Abstract
Recent studies have demonstrated the important role played by gut microbiota in regulating bone development, but the evidence of such causal relationship is still sparse in human population. The aim of this study is to assess the causal relationship from gut microbiota to bone development and to identify specific causal bacteria taxa via a Mendelian randomization (MR) approach. A genome-wide association study (GWAS) summary statistic based two-sample MR analysis was performed. Summary statistics of microbiome GWAS (MGWAS) in 1126 twin pairs of the TwinsUK study was used as discovery sample, and the MGWAS in 984 Dutch participants from the LifeLines-DEEP cohort was used as replication sample. Estimated heel bone mineral density (eBMD) GWAS in 426,824 participants from the UK biobank (UKB) cohort was used as outcome. Bacteria were grouped into taxa features at both order and family levels. In the discovery sample, a total of 25 bacteria features including 9 orders and 16 families were analyzed. Fourteen features (5 orders + 9 families) were nominally significant, including 5 orders (Bacteroidales, Clostridiales, Lactobacillales, Pasteurellales and Verrucomicrobiales) and 9 families (Bacteroidaceae, Clostridiaceae, Lachnospiraceae, Mogibacteriaceae, Pasteurellaceae, Porphyromonadaceae, Streptococcaceae, Verrucomicrobiaceae and Veillonellaceae). One order Clostridiales and its child taxon, family Lachnospiraceae, were successfully replicated in the replication sample (Clostridiales Pdiscovery = 3.32 × 10-3Preplication = 7.29 × 10-3; Lachnospiraceae Pdiscovery = 0.03 Preplication = 7.29 × 10-3). Our findings provided evidence of causal relationship from microbiota to bone development, as well as identified specific bacteria taxa that regulated bone mass variation, thus providing new insights into the microbiota mediated bone development mechanism.
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Affiliation(s)
- Jing-Jing Ni
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Jiangsu, PR China; Center for Genetic Epidemiology and Genomics, School of Public Health, Medical College of Soochow University, Jiangsu, PR China
| | - Xiao-Lin Yang
- Department of Gastroenterology, Affiliated Hospital of Yangzhou University, Yangzhou University, Jiangsu, PR China; Laboratory of Gastroenterology, Affiliated Hospital of Yangzhou University, Yangzhou University, Jiangsu, PR China
| | - Hong Zhang
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Jiangsu, PR China; Center for Genetic Epidemiology and Genomics, School of Public Health, Medical College of Soochow University, Jiangsu, PR China
| | - Qian Xu
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Jiangsu, PR China; Department of Epidemiology and Health Statistics, School of Public Health, Medical College of Soochow University, Jiangsu, PR China
| | - Xin-Tong Wei
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Jiangsu, PR China; Department of Epidemiology and Health Statistics, School of Public Health, Medical College of Soochow University, Jiangsu, PR China
| | - Gui-Juan Feng
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Jiangsu, PR China; Department of Epidemiology and Health Statistics, School of Public Health, Medical College of Soochow University, Jiangsu, PR China
| | - Min Zhao
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Jiangsu, PR China; Center for Genetic Epidemiology and Genomics, School of Public Health, Medical College of Soochow University, Jiangsu, PR China
| | - Yu-Fang Pei
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Jiangsu, PR China; Department of Epidemiology and Health Statistics, School of Public Health, Medical College of Soochow University, Jiangsu, PR China.
| | - Lei Zhang
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Jiangsu, PR China; Center for Genetic Epidemiology and Genomics, School of Public Health, Medical College of Soochow University, Jiangsu, PR China.
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31
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Bellissimo MP, Roberts JL, Jones DP, Liu KH, Taibl KR, Uppal K, Weitzmann MN, Pacifici R, Drissi H, Ziegler TR, Alvarez JA. Metabolomic Associations with Serum Bone Turnover Markers. Nutrients 2020; 12:nu12103161. [PMID: 33081124 PMCID: PMC7602719 DOI: 10.3390/nu12103161] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Revised: 10/13/2020] [Accepted: 10/14/2020] [Indexed: 12/21/2022] Open
Abstract
Bone is a dynamic tissue that is in a constant state of remodeling. Bone turnover markers (BTMs), procollagen type I N-terminal propeptide (P1NP) and C-terminal telopeptides of type I collagen (CTX), provide sensitive measures of bone formation and resorption, respectively. This study used ultra-high-resolution metabolomics (HRM) to determine plasma metabolic pathways and targeted metabolites related to the markers of bone resorption and formation in adults. This cross-sectional clinical study included 34 adults (19 females, mean 27.8 years), without reported illnesses, recruited from a US metropolitan area. Serum BTM levels were quantified by an ELISA. Plasma HRM utilized dual-column liquid chromatography and mass spectrometry to identify metabolites and metabolic pathways associated with BTMs. Metabolites significantly associated with P1NP (p < 0.05) were significantly enriched in pathways linked to the TCA cycle, pyruvate metabolism, and metabolism of B vitamins important for energy production (e.g., niacin, thiamin). Other nutrition-related metabolic pathways associated with P1NP were amino acid (proline, arginine, glutamate) and vitamin C metabolism, which are important for collagen formation. Metabolites associated with CTX levels (p < 0.05) were enriched within lipid and fatty acid beta-oxidation metabolic pathways, as well as fat-soluble micronutrient pathways including, vitamin D metabolism, vitamin E metabolism, and bile acid biosynthesis. P1NP and CTX were significantly related to microbiome-related metabolites (p < 0.05). Macronutrient-related pathways including lipid, carbohydrate, and amino acid metabolism, as well as several gut microbiome-derived metabolites were significantly related to BTMs. Future research should compare metabolism BTMs relationships reported here to aging and clinical populations to inform targeted therapeutic interventions.
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Affiliation(s)
- Moriah P. Bellissimo
- Division of Endocrinology, Metabolism and Lipids, Department of Medicine, Emory University School of Medicine, Atlanta, GA 30322, USA; (K.R.T.); (M.N.W.); (R.P.); (T.R.Z.); (J.A.A.)
- Emory Center for Clinical and Molecular Nutrition, Emory University, Atlanta, GA 30322, USA;
- Correspondence:
| | - Joseph L. Roberts
- Department of Orthopaedics, Emory University School of Medicine, Atlanta, GA 30322, USA; (J.L.R.); (H.D.)
- Atlanta Department of Veterans Affairs Medical Center, Decatur, GA 30033, USA
| | - Dean P. Jones
- Emory Center for Clinical and Molecular Nutrition, Emory University, Atlanta, GA 30322, USA;
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Department of Medicine, Emory University School of Medicine, Atlanta, GA 30322, USA; (K.H.L.); (K.U.)
| | - Ken H. Liu
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Department of Medicine, Emory University School of Medicine, Atlanta, GA 30322, USA; (K.H.L.); (K.U.)
| | - Kaitlin R. Taibl
- Division of Endocrinology, Metabolism and Lipids, Department of Medicine, Emory University School of Medicine, Atlanta, GA 30322, USA; (K.R.T.); (M.N.W.); (R.P.); (T.R.Z.); (J.A.A.)
| | - Karan Uppal
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Department of Medicine, Emory University School of Medicine, Atlanta, GA 30322, USA; (K.H.L.); (K.U.)
| | - M. Neale Weitzmann
- Division of Endocrinology, Metabolism and Lipids, Department of Medicine, Emory University School of Medicine, Atlanta, GA 30322, USA; (K.R.T.); (M.N.W.); (R.P.); (T.R.Z.); (J.A.A.)
- Atlanta Department of Veterans Affairs Medical Center, Decatur, GA 30033, USA
- Emory Microbiome Research Center, Emory University, Atlanta, GA 30322, USA
| | - Roberto Pacifici
- Division of Endocrinology, Metabolism and Lipids, Department of Medicine, Emory University School of Medicine, Atlanta, GA 30322, USA; (K.R.T.); (M.N.W.); (R.P.); (T.R.Z.); (J.A.A.)
- Emory Microbiome Research Center, Emory University, Atlanta, GA 30322, USA
| | - Hicham Drissi
- Department of Orthopaedics, Emory University School of Medicine, Atlanta, GA 30322, USA; (J.L.R.); (H.D.)
- Atlanta Department of Veterans Affairs Medical Center, Decatur, GA 30033, USA
| | - Thomas R. Ziegler
- Division of Endocrinology, Metabolism and Lipids, Department of Medicine, Emory University School of Medicine, Atlanta, GA 30322, USA; (K.R.T.); (M.N.W.); (R.P.); (T.R.Z.); (J.A.A.)
- Emory Center for Clinical and Molecular Nutrition, Emory University, Atlanta, GA 30322, USA;
- Atlanta Department of Veterans Affairs Medical Center, Decatur, GA 30033, USA
- Emory Microbiome Research Center, Emory University, Atlanta, GA 30322, USA
| | - Jessica A. Alvarez
- Division of Endocrinology, Metabolism and Lipids, Department of Medicine, Emory University School of Medicine, Atlanta, GA 30322, USA; (K.R.T.); (M.N.W.); (R.P.); (T.R.Z.); (J.A.A.)
- Emory Center for Clinical and Molecular Nutrition, Emory University, Atlanta, GA 30322, USA;
- Emory Microbiome Research Center, Emory University, Atlanta, GA 30322, USA
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