Age and sex determine CD4+ T cell stimulatory and polarizing capacity of rat splenic dendritic cells

Stojić-Vukanić, Zorica; Pilipović, Ivan; Bufan, Biljana; Stojanović, Mirjana D.; Leposavić, Gordana

doi:10.1007/s10522-019-09845-y

Cited by 3 publications

(1 citation statement)

References 90 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Moreover, neutrophil proportions increased and became long-lived and hypersegmented in elder mice, and the persistently low level of increased neutrophils contributes to chronic inflammation by releasing pro-inflammatory TNF-α during aging ( 86 ). Additionally, the endocytosis and antigen presentation capacity of DCs diminishes with aging, which may affect the production of T cell-specific cytokines ( 87 ), and thus participate in the inflammatory response and osteoporosis process. In summary, the alteration of innate immune cells in the number or function may be one of the mechanisms of senile osteoporosis.…”

Section: Senile Osteoporosismentioning

confidence: 99%

Immunoporosis: Role of immune system in the pathophysiology of different types of osteoporosis

et al. 2022

View full text Add to dashboard Cite

Osteoporosis is a skeletal system disease characterized by low bone mass and altered bone microarchitecture, with an increased risk of fractures. Classical theories hold that osteoporosis is essentially a bone remodeling disorder caused by estrogen deficiency/aging (primary osteoporosis) or secondary to diseases/drugs (secondary osteoporosis). However, with the in-depth understanding of the intricate nexus between both bone and the immune system in recent decades, the novel field of “Immunoporosis” was proposed by Srivastava et al. (2018, 2022), which delineated and characterized the growing importance of immune cells in osteoporosis. This review aimed to summarize the response of the immune system (immune cells and inflammatory factors) in different types of osteoporosis. In postmenopausal osteoporosis, estrogen deficiency-mediated alteration of immune cells stimulates the activation of osteoclasts in varying degrees. In senile osteoporosis, aging contributes to continuous activation of the immune system at a low level which breaks immune balance, ultimately resulting in bone loss. Further in diabetic osteoporosis, insulin deficiency or resistance-induced hyperglycemia could lead to abnormal regulation of the immune cells, with excessive production of proinflammatory factors, resulting in osteoporosis. Thus, we reviewed the pathophysiology of osteoporosis from a novel insight-immunoporosis, which is expected to provide a specific therapeutic target for different types of osteoporosis.

show abstract

Section: Senile Osteoporosismentioning

confidence: 99%

Immunoporosis: Role of immune system in the pathophysiology of different types of osteoporosis

et al. 2022

View full text Add to dashboard Cite

show abstract

Unraveling the molecular and immunological landscape: Exploring signaling pathways in osteoporosis

Amroodi,

Maghsoudloo,

Amiri

et al. 2024

Biomedicine & Pharmacotherapy

View full text Add to dashboard Cite

Divergent associations of inflammatory markers with bone turnover markers in elderly patients with osteoporotic fractures

Xu,

Guo,

Guo

et al. 2024

Sci Rep

View full text Add to dashboard Cite

The association between inflammatory markers (IMs) and bone turnover markers (BTMs) in osteoporotic fracture patients has not been comprehensively studied. Therefore, this study examined the correlation between the platelet-to-lymphocyte ratio (PLR), neutrophil-to-lymphocyte ratio (NLR), or Monocyte-to-lymphocyte ratio (MLR) and BTMs in osteoporosis (OP) fracture patients. This retrospective cross-sectional study analyzed 740 OP fracture patients admitted to the hospital from January 2017 to July 2022. MLR, NLR, and PLR were calculated based on each patient’s complete blood count. The relationship between IMs and BTMs was assessed using three models by adjusting variables. Furthermore, the potential curve relationship between IMs and BTMs was also determined via the threshold effect analysis and curve fittings. In addition, stratified analysis was performed on each adjusted variable to confirm the stability of the results. After adjusting the variables, the results showed that NLR was negatively correlated with procollagen type 1 N-terminal propeptide (P1NP) (β = -1.1788, 95% CI: -1.7230 to -0.6345, P -value < 0.0001) and β-C-terminal telopeptide of type I collagen (β-CTX) (β = -0.0104, 95% CI: -0.0145 to -0.0062, P -value < 0.0001), Furthermore, MLR was negatively correlated with P1NP (β = -17.4523, 95% CI: -27.7335 to -7.1710, P -value = 0.0009) and β-CTX (β = -0.1327, 95% CI: -0.2211 to -0.0443, P -value = 0.0034). However, PLR indicated a positive correlation with P1NP (β = 0.0326, 95% CI: 0.0007 to 0.0645, P -value = 0.0458) and β-CTX (β = 0.0003, 95% CI: 0.0001 to 0.0006, P -value = 0.0204). The threshold effect analysis and curve fittings revealed the presence of a turning point between NLR, MLR, and P1NP, β-CTX. In addition, the stratified analysis validated the result’s stability. In conclusion, this study indicates a negative correlation between NLR and MLR with P1NP, while PLR shows a positive correlation with P1NP. Additionally, NLR and MLR exhibit a negative correlation with β-CTX, whereas PLR demonstrates a positive correlation with β-CTX. Further research is required to assess the intricate mechanisms linking IM with bone metabolism. Supplementary Information The online version contains supplementary material available at 10.1038/s41598-024-75704-7.

show abstract

Age and sex determine CD4+ T cell stimulatory and polarizing capacity of rat splenic dendritic cells

Cited by 3 publications

References 90 publications

Immunoporosis: Role of immune system in the pathophysiology of different types of osteoporosis

Immunoporosis: Role of immune system in the pathophysiology of different types of osteoporosis

Unraveling the molecular and immunological landscape: Exploring signaling pathways in osteoporosis

Divergent associations of inflammatory markers with bone turnover markers in elderly patients with osteoporotic fractures

Contact Info

Product

Resources

About