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1.
J Inflamm Res ; 17: 3201-3209, 2024.
Article in English | MEDLINE | ID: mdl-38779430

ABSTRACT

Purpose: To provide a comprehensive analysis of associated genes with osteoarthritis (OA). Here, we reported a network analysis of OA progression by using a Steiner minimal tree algorithm. Methods: We collected the OA-related genes through screening the publications in MEDLINE. We performed functional analysis to analyze the associated biochemical pathways of the OA-related genes. Pathway crosstalk analysis was constructed to explore interactions of the enriched pathways. Steiner minimal tree algorithm was used to analyze molecular pathway networks. The average clustering coefficient was compared with the corresponding values of the Osteoarthritis-specific network. The new finding RNA was compared with former single-cell RNA-seq analysis results. Results: A gene set with 177 members reported to be significantly associated with Osteoarthritis was collected from 187 studies. Functional enrichment analysis revealed a specific related-OA gene including skeletal system development, cytokine-mediated signaling pathway, inflammatory response, cartilage development, and extracellular matrix organization. We performed a pathway crosstalk analysis among the 72 significantly enriched pathways. A total of 151 of the 177 genes in the Osteoarthritis gene set were included in the human interactome network. There were 31 genes in the former single-cell RNA-seq analysis results. The CLU, ENO1, SRRM1, UBC, HMGB1, NR3C1, NOTCH2NL, and CBX5 have significantly increased expression in seven molecularly defined populations of OA cartilage. Conclusion: The Steiner tree-based approach finds new biological molecules associated with OA genes.

2.
J Cutan Med Surg ; 27(5): 504-508, 2023.
Article in English | MEDLINE | ID: mdl-37533146

ABSTRACT

Platelet-rich plasma (PRP) contains a variety of growth factors and has been widely used in maxillofacial surgery, orthopedics, plastic surgery, ophthalmology, and other fields. In recent years, with the increasing morbidity of androgenetic alopecia (AGA), the use of PRP has also increased. The objective of this article was to evaluate the efficacy and safety of PRP for AGA. We searched PubMed, Embase, Web of Science, and Cochrane Library, covering the databases from their earliest records until March 2022. We performed a systematic review and meta-analysis of randomized controlled trials (RCTs) to explore the effects of PRP for hair density, hair count, and hair diameter in AGA. Nine trials involving 238 patients were included. The meta-analysis showed that PRP for AGA increased hair density at 3 and 6 months with statistically significant differences compared with the placebo (P < .05). PRP also increased hair count and hair diameter compared with the baseline, but there was no significant difference compared with the placebo (P > .05). Two of the 7 studies reported adverse reactions. No serious adverse reactions were found. In conclusion, PRP is an effective and safe treatment for increasing the hair density in AGA. Trial registration: The systematic review was registered with PROSPERO (CRD42022362432).


Subject(s)
Alopecia , Platelet-Rich Plasma , Humans , Randomized Controlled Trials as Topic , Alopecia/therapy , Hair , Treatment Outcome
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