Through network pharmacology and molecular docking technology, combined with in vitro experiment verification, we explored the mechanism of action of Porana racemosa Roxb. (PRA) in the treatment of rheumatoid arthritis (RA), and provided a modern pharmacological basis for the treatment of RA by PRA. The potential target of chemical components in the analyzed moth rattan was predicted by Swiss Target Prediction database; OMIM, GeneCards, TTD and Disgenet databases were used to search the disease targets of RA; the protein interaction (PPI) network and medicine-composition-target network were constructed using STRING database and Cytoscape software; GO (gene ontology) functional enrichment and KEGG (kyoto encyclopedia of genes and genomes) pathway analysis were carried out using DAVID database, and molecular docking software was used to dock the potentially active ingredients of PRA and core targets; finally, MH7A cells were selected for cell viability, scratch healing and mRNA expression level analysis of key genes to explore the effects of PRA and their potentially active ingredients on the proliferation, migration and apoptosis of MH7A cells. In this study, a total of 628 potentially active ingredient targets, 1 890 RA targets and 235 intersection targets were identified. It was screened that the potentially active ingredients of RA treatment by PRA were ethylcaffeate, N-p-coumaroyltyramine, 9,12,15-octadecatrienoic acid, methyl ester and so on, and the core targets involved tumor necrosis factor (TNF), matrix metalloproteinase 9 (MMP9), prostaglandin-endoperoxide synthase 2 (PTGS2) and so on. 1 200 GO entries and 166 KEGG pathway entries were obtained from the enrichment analysis; molecular docking results showed that N-p-coumaroyltyramine and ethylcaffeate had good binding activity with TNF, MMP9, cysteine-aspartate protease 3 (CASP3), PTGS2, B-cell lymphoma 2 (BCL2) proteins. In vitro experiments showed that PRA, ethylcaffeate and N-p-coumaroyltyramine could inhibit the proliferation, migration and invasion of MH7A cells, up-regulate the expression of apoptosis-related gene CASP3 mRNA, and down-regulate the expression of MMP9, PTGS2 and BCL2 mRNA, and it can also down-regulate the expression of phosphatidylinositol 3-kinase (PI3K) and protein kinase B (AKT) mRNA and PI3K and p-AKT proteins. This study preliminarily revealed that the treatment of RA by PRA may be related to proliferation, migration, invasion, apoptosis and regulation of PI3K/AKT signaling pathway.

Polycystic ovary syndrome (PCOS) is the predominant cause of subfertility in reproductive-aged women; however, its pathophysiology remains unknown. Neurotensin (NTS) is a member of the gut-brain peptide family and is involved in ovulation; its relationship with PCOS is unclear. Here, we found that NTS expression in ovarian granulosa cells and follicular fluids was markedly decreased in patients with PCOS. In the in vitro culture of cumulus-oocyte complexes, the neurotensin receptor 1 (NTSR1) antagonist SR48692 blocked cumulus expansion and oocyte meiotic maturation by inhibiting metabolic cooperation and damaging the mitochondrial structure in oocytes and surrounding cumulus cells. Furthermore, the ERK1/2-early growth response 1 pathway was found to be a key downstream mediator of NTS/NTSR1 in the ovulatory process. Animal studies showed that in vivo injection of SR48692 in mice reduced ovulation efficiency and contributed to irregular estrus cycles and polycystic ovary morphology. By contrast, NTS partially ameliorated the ovarian abnormalities in mice with dehydroepiandrosterone-induced PCOS. Our findings highlighted the critical role of NTS reduction and consequent abnormal NTSR1 signaling in the ovulatory dysfunction of PCOS, suggesting a potential strategy for PCOS treatment.
Polycystic Ovary Syndrome/physiopathology* ; Female ; Animals ; Neurotensin/metabolism* ; Receptors, Neurotensin/antagonists & inhibitors* ; Mice ; Ovulation/drug effects* ; Humans ; Granulosa Cells/metabolism* ; Adult ; Oocytes/metabolism* ; MAP Kinase Signaling System ; Signal Transduction ; Follicular Fluid/metabolism* ; Disease Models, Animal ; Gonadotropin-Releasing Hormone/analogs & derivatives*

Objective:To compare the results of invasive prenatal diagnosis and preimplantation genetic testing (PGT) and explore the underlying mechanism.Methods:Clinical data of pregnant women undergoing PGT and invasive prenatal diagnosis at the Sixth Affiliated Hospital of Sun Yat-sen University from January 2019 to December 2022 were collected. The results of PGT and invasive prenatal diagnosis were compared, and the outcomes of pregnancies were followed up. This study has been approved by the Medical Ethics Committee of the the Sixth Affiliated Hospital of Sun Yat-sen University (No. 2022SLYEC-491).Results:A total of 172 couples were included in this study, and 26 non-targeted variants were discovered upon prenatal diagnosis, including 10 cases (38.5%) by chromosomal karyotyping, 15 (57.7%) by chromosomal microarray analysis (CMA), and 1 (3.8%) by whole exome sequencing. The 10 karyotypic anomalies had included 6 chromosomal polymorphisms, 2 chromosomal mosaicisms, 1 paternally derived translocation, and 1 missed maternal chromosomal inversion. CMA has identified 15 copy number variations (CNVs), which included 11 microdeletions and microduplications, 3 loss of heterozygosity, and 1 low-level mosaicism of paternal uniparental disomy. One CNV was classified as pathogenic, and another one was likely pathogenic, whilst the remaining 13 were classified as variants of uncertain significance. Therefore, 8.7% of CNVs was detected by invasive prenatal diagnosis after PGT. 92.3% (24/26) of the non-targeted variants have been due to technological limitations of next-generation sequencing (NGS).Conclusion:Invasive prenatal diagnosis after PGT can detect non-targeted variants, which may further reduce the incidence of birth defects.

Objective To explore the construction and verification of the classification model for the five properties of traditional Chinese medicine:warm,cool,cold,hot,and neutral.Methods Urine samples of mice after taking Chinese medicine of different properties were selected as research objects,and Raman spectroscopy-related technology was used for detection.The obtained data set was classified into training set and test set,and the classification model was constructed using four machine learning methods:random forest,extreme gradient boosting,support vector machine,and logistic regression.The model performance was evaluated using precision,recall,F1 score,and accuracy.Results A total of 4 888 sets of spectra were collected in this study,of which 80%,totaling 3 910 sets of spectral data,were used to build the model,and the remaining 20%,totaling 978 sets of spectral data,were used to test model performance.The accuracy of the random forest model was 92%,the extreme gradient boosting model was 87%,the support vector machine model was 83%,and the logistic regression model was 75%.The Raman shifts with the highest classification weights were 872,1 012,1 108,1 190 and 1 668 cm-1.Conclusion Raman spectroscopy combined with machine learning algorithms can be used to classify the five medicinal properties of traditional Chinese medicine,among which the random forest model has the best effect.

Humans ; Vascular Stiffness ; Coal Mining ; Occupational Diseases/epidemiology* ; Risk Factors ; Coal ; Miners

Objective To evaluate the process risk of the implementation of prevention and control measures for surgical site infection(SSI)after colorectal surgery,and explore the application effect of failure mode and effects analysis(FMEA)based on action priority.Methods FMEA based on action priority was adopted to evaluate the whole process of the implementation of prevention and control measures for SSI after colorectal surgery.Prioritiza-tion ranking was conducted according to whether optimized measures were taken.Standard-reaching rate of comp-liance to SSI prevention and control measures as well as SSI incidence before and after the implementation of FMEA were compared.Results After evaluation,there were 7 high-priority and 22 medium-priority prevention and control measures for SSI.The control of medium-priority measures was strengthened,with a focus on developing further preventive and detectable measures for high-priority measures.The re-evaluation results after improvement showed that 7 high-priority measures have been downgraded to medium priority,and 16 medium-priority measures have been downgraded to low priority.Standard-reaching rate of compliance to SSI prevention and control measures in-creased from 77.15％(2 566/3 326)to 92.47％(3 096/3 348),and SSI incidence decreased from 6.04％(58/960)to 2.54％(60/2 364).Conclusion Application of FMEA based on action priority can effectively evaluate the risk of prevention and control process of SSI after colorectal surgery,and adopting preventive risk control measures accord-ing to the current situation can reduce the incidence of SSI after colorectal surgery.

Objective To construct an evaluation index system of scientific and technological achievements transfor-mation in affiliated hospitals of universities and colleges based on a logical model,and to provide reference for scien-tific and systematic measurement of scientific and technological achievements transformation in affiliated hospitals of universities and colleges.Methods The first draft of the evaluation index system was drawn up by combing the re-search literature and laws and policies related to the evaluation of scientific and technological achievements transfor-mation in domestic hospitals,and two rounds of Delphi expert consultation were carried out to determine the evalua-tion index system.Results The expert positive coefficient of both rounds was 100%,the authority coefficient was 0.875 and 0.874,and Kendall's W coefficient increased round by round.Finally,an evaluation system covering 4 first-level indicators,12 second-level indicators and 44 third-level indicators of scientific and technological achieve-ments transformation in affiliated hospitals of colleges and universities was determined.Conclusion The evaluation in-dex system of scientific and technological achievements transformation in affiliated hospitals of colleges and universi-ties has certain reliability and scientificity,with obvious main characteristics,and has important guiding significance and practical value for promoting the optimization of scientific and technological achievements transformation in affiliated hospitals of colleges and universities and improving the transformation efficiency.

Objective To construct an evaluation index system of scientific and technological achievements transfor-mation in affiliated hospitals of universities and colleges based on a logical model,and to provide reference for scien-tific and systematic measurement of scientific and technological achievements transformation in affiliated hospitals of universities and colleges.Methods The first draft of the evaluation index system was drawn up by combing the re-search literature and laws and policies related to the evaluation of scientific and technological achievements transfor-mation in domestic hospitals,and two rounds of Delphi expert consultation were carried out to determine the evalua-tion index system.Results The expert positive coefficient of both rounds was 100%,the authority coefficient was 0.875 and 0.874,and Kendall's W coefficient increased round by round.Finally,an evaluation system covering 4 first-level indicators,12 second-level indicators and 44 third-level indicators of scientific and technological achieve-ments transformation in affiliated hospitals of colleges and universities was determined.Conclusion The evaluation in-dex system of scientific and technological achievements transformation in affiliated hospitals of colleges and universi-ties has certain reliability and scientificity,with obvious main characteristics,and has important guiding significance and practical value for promoting the optimization of scientific and technological achievements transformation in affiliated hospitals of colleges and universities and improving the transformation efficiency.

Objective To construct an evaluation index system of scientific and technological achievements transfor-mation in affiliated hospitals of universities and colleges based on a logical model,and to provide reference for scien-tific and systematic measurement of scientific and technological achievements transformation in affiliated hospitals of universities and colleges.Methods The first draft of the evaluation index system was drawn up by combing the re-search literature and laws and policies related to the evaluation of scientific and technological achievements transfor-mation in domestic hospitals,and two rounds of Delphi expert consultation were carried out to determine the evalua-tion index system.Results The expert positive coefficient of both rounds was 100%,the authority coefficient was 0.875 and 0.874,and Kendall's W coefficient increased round by round.Finally,an evaluation system covering 4 first-level indicators,12 second-level indicators and 44 third-level indicators of scientific and technological achieve-ments transformation in affiliated hospitals of colleges and universities was determined.Conclusion The evaluation in-dex system of scientific and technological achievements transformation in affiliated hospitals of colleges and universi-ties has certain reliability and scientificity,with obvious main characteristics,and has important guiding significance and practical value for promoting the optimization of scientific and technological achievements transformation in affiliated hospitals of colleges and universities and improving the transformation efficiency.

Objective To construct an evaluation index system of scientific and technological achievements transfor-mation in affiliated hospitals of universities and colleges based on a logical model,and to provide reference for scien-tific and systematic measurement of scientific and technological achievements transformation in affiliated hospitals of universities and colleges.Methods The first draft of the evaluation index system was drawn up by combing the re-search literature and laws and policies related to the evaluation of scientific and technological achievements transfor-mation in domestic hospitals,and two rounds of Delphi expert consultation were carried out to determine the evalua-tion index system.Results The expert positive coefficient of both rounds was 100%,the authority coefficient was 0.875 and 0.874,and Kendall's W coefficient increased round by round.Finally,an evaluation system covering 4 first-level indicators,12 second-level indicators and 44 third-level indicators of scientific and technological achieve-ments transformation in affiliated hospitals of colleges and universities was determined.Conclusion The evaluation in-dex system of scientific and technological achievements transformation in affiliated hospitals of colleges and universi-ties has certain reliability and scientificity,with obvious main characteristics,and has important guiding significance and practical value for promoting the optimization of scientific and technological achievements transformation in affiliated hospitals of colleges and universities and improving the transformation efficiency.