OBJECTIVE: To analyze the acupoint selection patterns and core prescriptions of acupuncture for polycystic ovary syndrome (PCOS) using data mining, and to explore the molecular mechanisms of core acupoints through network acupuncture medicine. METHODS: The randomized controlled trials (RCTs) on acupuncture for PCOS published from January 1, 2004 to July 21, 2024 were retrieved from CNKI, VIP, Wanfang, PubMed, and Web of Science databases. R software (version 4.4.0) was used for acupoint frequency and association rule analysis to identify core acupoint prescriptions. Potential targets were predicted via the STITCH and Swiss Target Prediction databases, and a "core prescription-active compounds-targets- PCOS" network was constructed. Cytoscape 3.7.1 was applied to build protein-protein interaction (PPI) networks of potential targets of core acupoint prescriptions. Key therapeutic targets were subjected to gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) enrichment analyses using the DAVID and Microbioinformatics platforms. RESULTS: A total of 176 RCTs were included, covering 208 prescriptions and 89 acupoints. The five most frequently used acupoints were Guanyuan (CV4), Sanyinjiao (SP6), Zigong (EX-CA1), Zusanli (ST36) and Zhongji (CV3). Association rule analysis yielded 13 core acupoint combinations, with Guanyuan (CV4), Sanyinjiao (SP6), Zigong (EX-CA1) and Zusanli (ST36) as the core prescription. Twenty-seven active compounds were involved, with 852 potential therapeutic targets, among which 208 targets overlapped with PCOS-related targets. Network acupuncture medicine analysis suggested that the core prescription may act through targets such as estrogen receptor 1 (ESR1), proto-oncogene tyrosine-protein kinase Src (SRC), signal transducer and activator of transcription 3 (STAT3), peroxisome proliferator-activated receptor gamma (PPARG), and RAC-alpha serine/threonine-protein kinase (AKT1). GO and KEGG analyses indicated that the main pathways included the hypoxia-inducible factor 1 (HIF-1) signaling pathway, phosphatidylinositol 3-kinase-protein kinase B (PI3K-AKT) signaling pathway, and advanced glycation end products-receptor for advanced glycation end products (AGE-RAGE) signaling pathway, involving processes such as signal transduction, receptor complex formation, and cytokine activity. CONCLUSION The core acupoint prescription for PCOS might exert therapeutic effects through multiple targets and pathways, providing a theoretical basis for mechanistic research on acupoint prescriptions.
Humans ; Acupuncture Therapy ; Data Mining ; Acupuncture Points ; Polycystic Ovary Syndrome/metabolism* ; Female ; Protein Interaction Maps ; Randomized Controlled Trials as Topic

BACKGROUND: Diabetic foot is a complex condition with high incidence, recurrence, mortality, and disability rates. Current treatments for diabetic foot ulcers are often insufficient. This study was conducted to identify potential therapeutic targets for diabetic foot. METHODS: Datasets related to diabetic foot and diabetic skin were retrieved from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) were identified using R software. Enrichment analysis was conducted to screen for critical gene functions and pathways. A protein interaction network was constructed to identify node genes corresponding to key proteins. The DEGs and node genes were overlapped to pinpoint target genes. Plasma and chronic ulcer samples from diabetic and non-diabetic individuals were collected. Western blotting, immunohistochemistry, and enzyme-linked immunosorbent assays were performed to verify the S100 calcium binding protein A9 (S100A9), inflammatory cytokine, and related pathway protein levels. Hematoxylin and eosin staining was used to measure epidermal layer thickness. RESULTS: In total, 283 common DEGs and 42 node genes in diabetic foot ulcers were identified. Forty-three genes were differentially expressed in the skin of diabetic and non-diabetic individuals. The overlapping of the most significant DEGs and node genes led to the identification of S100A9 as a target gene. The S100A9 level was significantly higher in diabetic than in non-diabetic plasma (178.40 ± 44.65 ng/mL vs. 40.84 ± 18.86 ng/mL) and in chronic ulcers, and the wound healing time correlated positively with the plasma S100A9 level. The levels of inflammatory cytokines (tumor necrosis factor-α, interleukin [IL]-1, and IL-6) and related pathway proteins (phospho-extracellular signal regulated kinase [ERK], phospho-p38, phospho-p65, and p-protein kinase B [Akt]) were also elevated. The epidermal layer was notably thinner in chronic diabetic ulcers than in non-diabetic skin (24.17 ± 25.60 μm vs. 412.00 ± 181.60 μm). CONCLUSIONS S100A9 was significantly upregulated in diabetic foot and was associated with prolonged wound healing. S100A9 may impair diabetic wound healing by disrupting local inflammatory responses and skin re-epithelialization.
Calgranulin B/therapeutic use* ; Diabetic Foot/metabolism* ; Humans ; Datasets as Topic ; Computational Biology ; Mice, Inbred C57BL ; Animals ; Mice ; Protein Interaction Maps ; Immunohistochemistry

OBJECTIVETo explore the spatial distribution of malaria in Hainan province.

METHODSMaps of spatial distribution on malaria incidence in Hainan province from 1995 to 1999 were produced, using a spatial local interpolation technique in the ArcGIS 8.1 software. Cross-validation techniques were used to evaluate the fitness of the distribution maps.

RESULTSThe spatial distribution of malaria in Hainan province from 1995 to 1999 showed that the incidence of malaria in the southern part of Hainan province were higher than that in the north. In the south, the incidence of malaria in east coastal areas were higher than that of other parts, especially in Wuzhi and Yingge mountains. The prediction error of the cross-validation indicated that the spatial distribution maps of malaria in Hainan had good fitness of malaria incidence of Hainan province.

CONCLUSIONSpatial local interpolation technique seemed to be promising in describing the spatial distribution of malaria.

Adult ; China ; epidemiology ; Data Collection ; Female ; Geographic Information Systems ; Humans ; Incidence ; Malaria ; epidemiology ; Male ; Maps as Topic ; Middle Aged ; Satellite Communications