Fecal microbiota transplantation as a promising treatment option for osteoporosis

Zhang, Yuan‐Wei; Cao, Mu-Min; Li, Yingjuan; Zhang, Ruo-Lan; Wu, Mengting; Yu, Qian; Menemenlis, Dimitris

doi:10.1007/s00774-022-01375-x

Cited by 16 publications

(19 citation statements)

References 146 publications

(145 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, appropriate selection of donors is crucial. Nevertheless, there are many challenges affecting the adoption of this technology ( 184 ). Further animal experiments and clinical studies are needed to clarify this.…”

Section: Analysis and Future Outlooksmentioning

confidence: 99%

Effect of Bifidobacterium on osteoclasts: TNF-α/NF-κB inflammatory signal pathway-mediated mechanism

Yang

Wang

et al. 2023

Front. Endocrinol.

View full text Add to dashboard Cite

Osteoporosis is a systemic multifactorial bone disease characterized by low bone quality and density and bone microstructure damage, increasing bone fragility and fracture vulnerability. Increased osteoclast differentiation and activity are important factors contributing to bone loss, which is a common pathological manifestation of bone diseases such as osteoporosis. TNF-a/NF-κB is an inflammatory signaling pathway with a key regulatory role in regulating osteoclast formation, and the classical pathway RANKL/RANK/OPG assists osteoclast formation. Activation of this inflammatory pathway promotes the formation of osteoclasts and accelerates the process of osteoporosis. Recent studies and emerging evidence have consistently demonstrated the potential of probiotics to modulate bone health. Secretions of Bifidobacterium, a genus of probiotic bacteria in the phylum Actinobacteria, such as short-chain fatty acids, equol, and exopolysaccharides, have indicated beneficial effects on bone health. This review discusses the molecular mechanisms of the TNF-a/NF-κB inflammatory pathway in regulating osteoclast formation and describes the secretions produced by Bifidobacterium and their potential effects on bone health through this pathway, opening up new directions for future research.

show abstract

Section: Analysis and Future Outlooksmentioning

confidence: 99%

Effect of Bifidobacterium on osteoclasts: TNF-α/NF-κB inflammatory signal pathway-mediated mechanism

Yang

Wang

et al. 2023

Front. Endocrinol.

View full text Add to dashboard Cite

show abstract

“…Long-term administration of butyrate to regularly aged mice prevented hindlimb muscle atrophy, prevented intramuscular fat accumulation, increased markers of mitochondrial biogenesis, and reduced markers of oxidative stress and apoptosis [30]. In conclusion, SCFAs may in uence bone metabolism through multiple mechanisms, including inhibition of in ammatory responses, improvement of intestinal calcium absorption, promotion of osteoblast differentiation via regulatory T cells (Tregs), and direct inhibition of osteoclast differentiation [31].…”

Section: Discussionmentioning

confidence: 98%

The causal relationship between gut microbiome and carpal tunnel syndrome:A two-sample Mendelian Randomization Study

Liu

Zhang

et al. 2023

Preprint

View full text Add to dashboard Cite

Objective There is considerable evidence linking gut microbiome to bone-joint diseases, but no studies explored the causal association between gut microbiome and carpal tunnel syndrome (CTS).Methods This study utilized large-scale genome-wide association studies (GWAS) summary statistics to evaluate the causal association between gut microbiome and CTS. Two-sample Mendelian randomization (MR) approach was used to identify the causal microbial taxa for CTS. Comprehensively sensitivity analysis was performed to validate the robustness of results. Reverse-direction MR analysis was performed to rule out the possibility of reverse associations.Results Multiplicative random effect inverse variance weighted (IVW_mre) method suggested that 4 gut microbial taxa had a positive effect on CTS such as Actinobacteria (OR = 1.12, PIVW = 0.05) and Oxalobacter (OR = 1.06, PIVW < 0.01); 11 gut microbial taxa had a negative effect on CTS such as Methanobacteria (OR = 0.95, PIVW = 0.01), Rikenellaceae (OR = 0.92, PIVW = 0.03), Blautia (OR = 0.92, PIVW = 0.02), Butyrivibrio (OR = 0.94, PIVW = 0.01) and Lachnospira (OR = 0.86, PIVW < 0.01). Sensitivity analysis excluded the influence of heterogeneity and horizontal pleiotropy. According to the results of reverse-direction MR analysis, no significant causal effect of CTS was found on 15 gut microbial taxa.Conclusions Our study identified the causal relationships between several gut microbiomes and CTS. These findings may give insights into the mechanism of CTS and provide novel therapeutic targets.

show abstract

“…With the prolongation of the life span of population around world, osteoporosis and related osteoporotic fractures impose a growing burden on the social medical system 1,29‐31 . Moreover, SII is an index derived from the number of various inflammatory cell subsets according to a specific equation 32 .…”

Section: Discussionmentioning

confidence: 99%

High systemic immune‐inflammation index is relevant to osteoporosis among middle‐aged and older people: A cross‐sectional study

Zhang,

2023

Immunity Inflam & Disease

View full text Add to dashboard Cite

BackgroundAs one of novel inflammatory indexes proposed in recent years, systemic immune‐inflammation index (SII) can comprehensively reflect the inflammatory and immune state of the body. This study aims to explore the relationship between SII and osteoporosis among middle‐aged and older people.Materials and MethodsOur study includes 20,497 individuals from National Health and Nutrition Examination Survey (NHANES) 2005–2008, and target study population are confined to people aged 45 years and above. SII is calculated as platelet count × neutrophil count/lymphocyte count. Multivariate logistic regression analysis is used to explore the link between SII and osteoporosis, and receiver operating characteristics curve is used to screen optimal cut‐off value of SII for indicating the occurrence of osteoporosis.ResultsA total of 435 people with osteoporosis are screened among 4625 middle‐aged and older people, and individuals in osteoporosis group have higher SII than those in nonosteoporosis group (p = .024). Logistic regression analysis indicates that with the enhancement of SII, prevalence of osteoporosis in each tertile category also increases (p < .001). This tendency is also not changed in univariate model (p < .001), as well as the adjustments for different parameters. Moreover, we also identify that SII of 530.09 is the optimal cut‐off value for indicating the occurrence of osteoporosis among middle‐aged and older people.ConclusionsThis present NHANES‐based study noticed that higher SII is positively linked to osteoporosis among middle‐aged and older people, and SII should not exceed 530.09 for them to obtain a potentially lower risk of osteoporosis.

show abstract

Fecal microbiota transplantation as a promising treatment option for osteoporosis

Cited by 16 publications

References 146 publications

Effect of Bifidobacterium on osteoclasts: TNF-α/NF-κB inflammatory signal pathway-mediated mechanism

Effect of Bifidobacterium on osteoclasts: TNF-α/NF-κB inflammatory signal pathway-mediated mechanism

The causal relationship between gut microbiome and carpal tunnel syndrome:A two-sample Mendelian Randomization Study

High systemic immune‐inflammation index is relevant to osteoporosis among middle‐aged and older people: A cross‐sectional study

Contact Info

Product

Resources

About