The underlying mechanisms of the association of bone health with depression - an experimental study
Houtenbos SP., He Y., Cazzanelli P., Soultoukis G., Wuertz-Kozak K., Schulz TJ.
Prospective Study with a reported sample of 11 on Hip, published in Mol Biol Rep (2025) — summary generated from the PubMed abstract.
Early human evidence such as case series or small samples is exploring possible benefits.
- Level A · Stronger Clinical Evidence
- Level B · Emerging clinical evidence with positive signals
- Level C · Early human research exploring benefits
- Level D · Scientific groundwork from lab and animal studies
- Emerging · Emerging topic under active research
This page is generated from the PubMed record. The Thai description is an automated summary of bibliographic fields and the abstract, not a full translation, and is not medical advice.
- Study type
- Prospective Study
- Journal
- Mol Biol Rep (2025)
- Reported sample size
- 11
- Source database
- Europe PMC
- PMID
- 39869252
- PMCID
- PMC11772516
- DOI
- 10.1007/s11033-025-10230-x
- Citations
- 5
Abstract (original English)
Background Depression constitutes a risk factor for osteoporosis, but underlying molecular and cellular mechanisms are not fully understood. MiRNAs influence gene expression and are carried by extracellular vesicles (EV), affecting cell-cell communication. Aims (1) Identify the difference in miRNA expression between depressed patients and healthy controls; (2) Analyze associations of these miRNAs with bone turnover markers; (3) Analyze target genes of differentially regulated miRNAs and predict associated pathways regarding depression and bone metabolism. Methods and results Blood samples from depressed patients (n = 11) were obtained from a previous study and healthy controls (n = 9) were recruited. Sociodemographic, depression diagnosis and depressive symptom (BDI-II) data were collected through questionnaires. Blood plasma was collected from each participant and real-time-quantitative PCR was performed on isolated plasma EVs; differences in miRNA expression between groups were analyzed using qbase+. Regression models assessed the associations of differentially regulated miRNAs with bone turnover markers procollagen-1 N-terminal-peptide, osteocalcin, and crosslaps; enriched pathways and miRNA target gene networks were analyzed. 19 miRNAs were differentially expressed between groups (p Conclusions MiRNAs (e.g. miR-26b-5p, miR-377-3p), genes (TNRC6B, HSPA8), and pathways (FoxO-
What this study does not prove
- • This study does not prove SVF is an approved treatment or a replacement for standard care.
Evidence level
Early human evidence such as case series or small samples is exploring possible benefits.
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