ArticleCurrent issues in molecular biology2025
Association Between Body Mass Index and the Composition of Leucocyte-Poor Platelet-Rich Plasma: Implications for Personalized Approaches in Musculoskeletal Medicine.
Article in Current issues in molecular biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
1 citing paper in PubMed.
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Platelet-rich plasma (PRP) has gained attention in regenerative medicine due to its bio-active proteins with tissue-healing potential. However, heterogeneity in PRP composition remains a major challenge for reproducibility and standardization. Given that body mass index (BMI) affects systemic blood parameters, we investigated whether BMI affects the cellular and molecular composition of PRP. Seventy-three participants were stratified into normal weight, overweight, and obese groups. PRP was prepared using a double-syringe system, and platelet activation was induced by freeze-thaw cycles. Whole blood and PRP cell counts were analyzed, and IL6, IGF1, HGF, and PDGF-BB levels in PRP were quantified by ELISA. Platelet enrichment and levels of IGF1, HGF, and PDGF-BB in PRP did not significantly differ between BMI groups. In contrast, IL6 concentrations were higher in normal-weight compared to overweight and obese individuals. Moreover, BMI-related associations emerged between platelet counts and PDGF-BB, and between PRP proteins and sex or caffeine intake, suggesting a more complex BMI-specific modulation of PRP composition. In conclusion, our findings support considering BMI as a relevant factor in PRP therapy. Incorporating BMI into PRP standardization strategies could improve reproducibility and support personalized regenerative approaches.
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