ObjectiveTo optimize and validate the optimal sequential alcohol-water extraction process of modified Banxia Xiexintang（MBXT） based on pharmacodynamic evaluation， combined with the G1-entropy weight method and Box-Behnken response surface methodology， and to systematically and comprehensively analyze the material basis of this formula， providing a scientific basis for its quality control and industrial production. MethodsRats were randomly divided into the normal group， model group， metformin group， and MBXT water extraction， water extraction and ethanol precipitation， sequential ethanol-water extraction groups. Except for the normal group， a polycystic ovary syndrome with insulin resistance（PCOS-IR） model was established in all rats via a high-fat diet combined with letrozole induction. Enzyme-linked immunosorbent assay（ELISA） biochemical assay kits and hematoxylin-eosin（HE） staining were used to compare sex hormone levels in serum and ovarian histopathology， thereby screening extraction process routes. Based on this， a comprehensive score was constructed using the G1-entropy weight method based on the transfer rates of index components（berberine hydrochloride and baicalin） and the dry extract rate. Box-Behnken response surface methodology was then utilized to optimize the extraction process parameters. Finally， the chemical constituents of the sample from the optimal process were qualitatively analyzed by ultra-performance liquid chromatography-quadrupole-electrostatic field orbitrap mass spectrometry（UPLC-Q-Orbitrap-MS）. ResultsPharmacodynamic findings revealed that compared with the normal group， serum testosterone（T） and luteinizing hormone（LH） levels were significantly elevated in the model group， while estradiol（E₂） and follicle-stimulating hormone（FSH） levels were significantly decreased（P<0.01）， with polycystic changes observed in ovarian tissues. Compared with the model group， all treatment groups significantly reversed the changes in sex hormone levels， with the sequential ethanol-water extraction group showing the optimal effect in improving the aforementioned indicators and pathological morphology， followed by subsequent process optimization. The optimized process involved adding 12 times the amount of 70% ethanol for extracting twice， each lasting 120 min， and adding 12 times the amount of water for extracting thrice， each lasting 90 min. Validation test results showed that under optimal process conditions， the average transfer rates of berberine hydrochloride and baicalin were 76.05% and 93.38%， respectively. MS analysis identified a total of 377 compounds， including 112 flavonoids， 41 terpenoids， 28 organic acids， 22 coumarins， and 8 alkaloids， while elucidating the cleavage patterns of key components. ConclusionThe optimized sequential ethanol-water extraction process is stable and feasible， effectively preserving the material basis of MBXT for treating PCOS-IR. It further clarifies the main chemical composition of this formula， providing a scientific basis for the development and quality control of its preparations.

ObjectiveTo evaluate the therapeutic effects of modified Banxia Xiexintang（MBXT） on polycystic ovary syndrome with insulin resistance（PCOS-IR） rats and reveal its potential mechanisms based on the integrated analysis of transcriptomics and metabolomics. MethodsFemale SD rats were selected， and a PCOS-IR model was established by intragastric administration of letrozole combined with a high-fat diet for 21 days. The modeled rats were randomly divided into the model group， MBXT low-， medium-， and high-dose groups（6.62， 13.23， 26.46 g·kg^-1）， and metformin group（0.158 g·kg^-1）， with a normal group set up separately. After 14 days of administration， the estrous cycle was observed， ovarian morphology was examined by hematoxylin-eosin（HE） staining， and the levels of testosterone（T）， estradiol（E₂）， follicle-stimulating hormone（FSH）， and luteinizing hormone（LH） in serum were detected by enzyme-linked immunosorbent assay（ELISA）. Serum metabolites and ovarian tissue gene expression were detected using ultra-performance liquid chromatography-quadrupole-electrostatic orbitrap mass spectrometry（UPLC-Q-Orbitrap-MS） and RNA-Seq technology， respectively， followed by multi-omics integrated analysis. ResultsPharmacodynamic findings revealed that all MBXT dose groups could reversed abnormal estrous cycles in PCOS-IR rats， improve polycystic ovarian lesions， and normalize dysregulated serum hormone levels（T， LH， E₂， FS， P<0.05， P<0.01）. Metabolomic analysis revealed that compared with the model group， MBXT reversed 278 differential metabolites such as estrone and S-formylglutathione， mainly involving pathways such as steroid hormone biosynthesis， glutathione metabolism， and lipid peroxidation regulation. Transcriptomic analysis identified 434 differentially expressed genes， and enrichment analysis revealed that MBXT significantly regulated lipid peroxidation defense systems， including glutathione metabolism， peroxisome function， and fatty acid metabolism， thereby intervening in ferroptosis processes. It also engaged in inflammation-related pathways such as the chemokine signaling pathway. Integrated analysis revealed that both metabolomics and transcriptomics co-enriched metabolic pathways associated with ferroptosis and fatty acid metabolism. And key Hub genes［such as Ras-related C3 botulinum toxin substrate 2 gene（Rac2） and Fas ligand gene（Faslg）］ showed significant correlations with differential metabolites. ConclusionMBXT can effectively ameliorate reproductive dysfunction and metabolic disorders in PCOS-IR rats. Its mechanism may be related to remodeling the immune-metabolism network， particularly by regulating MHC-mediated immune responses， inhibiting local ovarian ferroptosis， and enhancing steroid hormone synthesis pathways.

ObjectiveTo investigate the mechanism of modified Banxia Xiexintang（MBXT） in improving ovarian dysfunction in polycystic ovary syndrome with insulin resistance（PCOS-IR） rats by inhibiting ferroptosis through the adenosine monophosphate（AMP）-activated protein kinase（AMPK）/fatty acid synthase（FASN）/glutathione peroxidase 4（GPX4） signaling pathway. MethodsSeventy-six female SD rats were randomly divided into a normal group（n=13） and a modeling group（n=63）. The modeling group established a PCOS-IR model by intragastric administration of letrozole combined with a high-fat diet for 21 days. After successful modeling， these rats were randomly divided into the model group， MBXT low-， medium-， and high-dose groups（6.62， 13.23， 26.46 g·kg^-1）， metformin group（0.158 g·kg^-1）， and high-dose of MBXT combined with ferroptosis inducer Erastin group（15 mg·kg^-1）， with 10 rats in each group. After 14 days of intervention， ovarian pathological morphology was observed by hematoxylin-eosin（HE） staining， the mitochondrial ultrastructure of granulosa cells was observed by transmission electron microscopy（TEM）， ovarian reactive oxygen species（ROS） levels were detected by dihydroethidium（DHE） probe， biochemical methods were used to detect Fe²⁺， malondialdehyde（MDA）， glutathione（GSH） and other indicators in ovarian tissues， serum sex hormone and insulin levels were measured by enzyme-linked immunosorbent assay（ELISA）， and the protein expressions of AMPK， FASN， acyl-CoA synthetase long-chain family member 4（ACSL4）， GPX4， and solute carrier family 7 member 11（SLC7A11） in ovarian tissues were detected by Western blot. ResultsCompared with the normal group， the model group showed polycystic changes in the ovaries， with atrophy of mitochondria in granulosa cells and increased membrane density. Serum levels of testosterone（T）， luteinizing hormone（LH）， and insulin were significantly increased（P<0.01）. The levels of ROS， MDA， 4-hydroxynonenal（4-HNE）， and Fe²⁺ in ovarian tissues were significantly elevated（P<0.01）， while adenosine triphosphate（ATP）， GSH， and reduced nicotinamide adenine dinucleotide phosphate （NADPH） levels were significantly decreased（P<0.01）. The phosphorylation levels of AMPK and acetyl-CoA carboxylase （ACC）， as well as the protein expressions of SLC7A11， GPX4， and ferroptosis suppressor protein 1（FSP1） were significantly downregulated（P<0.01）， whereas the expressions of FASN， ACSL4， and nuclear receptor coactivator 4（NCOA4） were significantly upregulated（P<0.01）. Compared with the model group， MBXT intervention at various doses improved the above pathological changes and biochemical indicators in a dose-dependent manner， with the high-dose group showing the most significant effect（P<0.01）. Compared with the MBXT high-dose group， the high-dose of MBXT combined with ferroptosis inducer Erastin group restored ovarian ferroptosis characteristics in rats， with increased ROS and lipid peroxidation products， and altered expressions of key proteins（P<0.05， P<0.01）. ConclusionMBXT can effectively improve ovarian function and metabolic disorders in PCOS-IR rats. Its mechanism may be related to activating the AMPK/ACC signaling pathway， downregulating FASN and ACSL4 to reduce lipid peroxidation substrates， and restoring glucose-6-phosphate dehydrogenase/phosphoglycerate dehydrogenase（G6PD/PHGDH） metabolic flux to enhance the GPX4/FSP1 antioxidant defense system， thereby inhibiting ferroptosis in ovarian granulosa cells.

Abstract Survival analysis has been widely used in the field of medical research. The Cox proportional hazard model is commonly used, but its practical application is limited. Machine learning method can compensate for the shortcomings of the Cox proportional hazard model in terms of nonlinear data processing and prediction accuracy. This article reviewed the advance of machine learning methods represented by neural networks, within the field of survival analysis, and highlighted the principles and benefits of three machine learning methods that DeepSurv, Deep-Hit and random survival forest, providing methodological insights for the analysis of complex survival data.

Objective To analyze the core functional component groups(CFCG)in Yinchenhao Decoction(YCHD)and their possible pathways for treating hepatic fibrosis based on network pharmacology.Methods PPI data were extracted from DisGeNET,Genecards,CMGRN and PTHGRN to construct a weighted network using Cytoscape 3.9.1.The data of the chemical components in YCHD were obtained from Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP),and the potential active components and targets were selected using PreADMET Web server and SwissTargetPrediction.A fusion model was constructed to obtain the functional effect space and evaluate the effective proteins to identify the CFCG followed by GO and KEGG pathway enrichment analyses for all the targets.In cultured human hepatic stellate cells(LX-2 cells),the cytotoxicity of different compounds in YCHD was tested using CCK-8 assay;the effects of these compounds on collagen α1(Col1a1)mRNA expression and the pathways in 20 ng/mL TGF-β1-stimulated cells were analyzed using RT-qPCR and Western blotting.Results A total of 1005 pathogenic genes,226 potential active components and 1529 potential targets in YCHD and 52 potential targets of CFCG were obtained.Benzyl acetate,vanillic acid,clorius,polydatin,lauric acid and ferulic acid were selected for CCK-8 verification,and they all showed minimal cytotoxicity below the concentration of 200 μmol/L.Clorius,polydatin,lauric acid and ferulic acid all effectively inhibited TGF-β1-induced LX-2 cell activation.At the concentration of 200 μmol/L,all these 4 components inhibited PI3K,p-PI3K,AKT,p-AKT,ERK,p-ERK,P38 MAPK and p-P38 MAPK expressions in TGF-β1-induced LX-2 cells.Conclusion The therapeutic effect of YCHD on hepatic fibrosis is probably mediated by its core functional components including benzyl acetate,vanillic acid,clorius,polydatin,lauric acid and ferulic acid,which inhibit the PI3K-AKT and MAPK pathways in hepatic stellate cells.

Objective To analyze the core functional component groups(CFCG)in Yinchenhao Decoction(YCHD)and their possible pathways for treating hepatic fibrosis based on network pharmacology.Methods PPI data were extracted from DisGeNET,Genecards,CMGRN and PTHGRN to construct a weighted network using Cytoscape 3.9.1.The data of the chemical components in YCHD were obtained from Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP),and the potential active components and targets were selected using PreADMET Web server and SwissTargetPrediction.A fusion model was constructed to obtain the functional effect space and evaluate the effective proteins to identify the CFCG followed by GO and KEGG pathway enrichment analyses for all the targets.In cultured human hepatic stellate cells(LX-2 cells),the cytotoxicity of different compounds in YCHD was tested using CCK-8 assay;the effects of these compounds on collagen α1(Col1a1)mRNA expression and the pathways in 20 ng/mL TGF-β1-stimulated cells were analyzed using RT-qPCR and Western blotting.Results A total of 1005 pathogenic genes,226 potential active components and 1529 potential targets in YCHD and 52 potential targets of CFCG were obtained.Benzyl acetate,vanillic acid,clorius,polydatin,lauric acid and ferulic acid were selected for CCK-8 verification,and they all showed minimal cytotoxicity below the concentration of 200 μmol/L.Clorius,polydatin,lauric acid and ferulic acid all effectively inhibited TGF-β1-induced LX-2 cell activation.At the concentration of 200 μmol/L,all these 4 components inhibited PI3K,p-PI3K,AKT,p-AKT,ERK,p-ERK,P38 MAPK and p-P38 MAPK expressions in TGF-β1-induced LX-2 cells.Conclusion The therapeutic effect of YCHD on hepatic fibrosis is probably mediated by its core functional components including benzyl acetate,vanillic acid,clorius,polydatin,lauric acid and ferulic acid,which inhibit the PI3K-AKT and MAPK pathways in hepatic stellate cells.

Objective:To establish and validate reference intervals of serum vitamin K for healthy children in China.Methods:A cross-sectional study was conducted from January 2020 to May 2023, involving 807 healthy children aged 0 to 14 years, selected by stratified random sampling based on the population distribution of children in eastern, central, western, and northeastern China. Sample collection was carried out in 16 hospitals across 12 provinces, autonomous regions, and municipalities. Basic information of the children was collected using a standardized self-design questionnaire. Serum levels of vitamin K 1 and vitamin K 2 (menaquinone-4 (MK-4), menaquinone-7 (MK-7)) were measured using liquid chromatography-tandem mass spectrometry. The reference intervals was established by direct approach. The children were divided into different groups by age. Inter-group comparisons were conducted using the Kruskal-Wallis non-parametric test, and the reference intervals ( P2.5- P97.5) were determined using non-parametric methods. Screening 40 healthy children for small sample validation based on age groups within the reference range(25 from eastern, 10 from central, and 5 from western regions). Results:The age of the 807 children was 5.00 (2.00, 9.81) years, and 495 (61.3%) were males and 312 (38.7%) females. Reference intervals were established for 795 children, of whom 303 children were aged 1 month to 3 years and 492 were aged 4 to 14 years. The reference intervals for serum vitamin K 1 were 0.09-4.54 μg/L for children aged 1 month to 3 years, and 0.10-1.73 μg/L for 4-14 years. For MK-7, the intervals were 0.07-1.42 μg/L for 1 month to 3 years and 0.19-2.03 μg/L for 4-14 years. The reference intervals for MK-4 in children aged 1 month to 14 years were 0-0.42 μg/L. The measured values of serum vitamin K 1, MK-4, and MK-7 in the validation samples did not exceed the reference limit in more than 2 samples. Conclusion:Reference intervals for vitamin K 1, MK-4, and MK-7 in healthy children aged 1 month to 14 years have been established and validated, and can be used to assess vitamin K nutritional status in children.

BACKGROUND: Diabetic wound healing remains a major challenge due to the impaired functionality of angiogenesis by persistent hyperglycemia. Mesenchymal stem cell exosomes are appropriate candidates for regulating the formation of angiogenesis in tissue repair and regeneration. Here, we explored the effects of exosomes derived from human amniotic mesenchymal stem cell (hAMSC-Exos) on the biological activities of human umbilical vein endothelial cells (HUVECs) treated with high glucose and on diabetic wound healing and investigate lncRNAs related to angiogenesis in hAMSC-Exos. METHODS: hAMSCs and hAMSC-Exos were isolated and identified by flow cytometry or western blot. A series of functional assays such as cell counting kit-8, scratching, transwell and tube formation assays were performed to evaluate the potential effect of hAMSC-Exos on high glucose-treated HUVECs. The effect of hAMSC-Exos on diabetic wound healing were tested by measuring wound closure rates and immunohistochemical staining of CD31. Subsequently, the lncRNAs profiles in hAMSC-Exos and hAMSCs were examined to screen the lncRNAs related to angiogenesis. RESULTS: The isolated hAMSC-Exos had a size range of 30–150 nm and were positive for CD9, CD63 and CD81. The hAMSC-Exos facilitate the functional properties of high glucose-treated HUVECs including the proliferation, migration and the angiogenic activities as well as wound closure and angiogenesis in diabetic wound. hAMSC-Exos were enriched lncRNAs that related to angiogenesis, including PANTR1, H19, OIP5-AS1 and NR2F1-AS1. CONCLUSION Our findings demonstrated hAMSC-Exos facilitate diabetic wound healing by angiogenesis and contain several exosomal lncRNAs related to angiogenesis, which may represent a promising strategy for diabetic wound healing.

The accelerometry(AMG) muscle relaxant monitor is the most widely used quantitative muscle relaxant monitor to assess the degree of neuromuscular at present. In this study, the ulnar nerve was stimulated by using train of four stimulation(TOF) mode of the AMG muscle relaxant monitor, and the movement of the adductor pollicis muscle was monitored. In this way, the distribution range of key parameters (acceleration peak value, response time, and TOF ratio) of the adductor pollicis muscle during the use of muscle relaxant in clinical practice is analyzed and will provide a practical basis for the development and improvement of the muscle relaxant monitor.
Electric Stimulation ; Muscle, Skeletal ; Neuromuscular Blockade ; Neuromuscular Nondepolarizing Agents ; Ulnar Nerve/physiology*

Objective Iodothyronine deiodinases (DIOs) are important selenoproteins that play a key role in the bone and joint diseases. Osteoarthritis (OA) is the most prevalent joint disease especially in elders. This bioinformatic analysis was performed to explore the role of DIOs in OA pathogenesis. Methods The biological functions of selenoprotein DIOs were analyzed by bioinformatic techniques, including GenCLip 3.0, Database for Annotation, Visualization and Integrated Discovery (DAVID), STRING, Cytoscape, and Network Analyst. The expression of DIOs in the healthy individuals and OA patients was determined by mining OA-related microarray data in the gene expression omnibus (GEO) database of National Center for Biotechnology Information and performing a Meta-analysis of the data with Review Manager 5.3. Results Cluster analysis revealed that the function of the DIOs was associated with thyroid hormone receptor and iodothyronine; GO analysis showed that DIOs were mainly involved in biological processes, such as ethanol metabolism and phenol-containing compound metabolism and primarily involved in the cytochrome P450 metabolism of exogenous organisms and thyroid hormone signaling; SULT1A1 was the core node of the PPI network; miRNAs and thyroid hormones had some iterations with DIO1 and DIO2; Meta-analysis showed that DIO3 expression was significantly up-regulated in OA patients (SMD = 0.31, 95％CI: 0.03, 0.59, P = 0.03). Conclusions The main biological functions of DIOs were closely associated with the regulation of thyroid hormone. And the up-regulated expression of DIO3 may have crucial impact on the occurrence of OA.