Objective: To investigate the potential mechanisms of Xanthatin in inhibiting the proliferation of laryngeal squamous cell carcinoma(LSCC) cells by integrating network pharmacology and in vitro experiments. Methods: The targets of Xanthatin were identified using databases such as PharmMapper, while disease-related targets for LSCC were obtained from databases such as DisGeNET. The overlapping targets between Xanthatin and LSCC were determined by intersecting these datasets. A protein-protein interaction(PPI) network was constructed based on the overlapping targets, and key targets were identified. Gene ontology(GO) and Kyoto encyclopedia of genes and genomes(KEGG) enrichment analyses of the overlapping targets were performed using R software. A "Xanthatin-target-pathway" network was visualized using Cytoscape 3.8.0 software. The preliminary validation of the aforementioned results was performed using molecular docking and transcriptomics. The effects of Xanthatin on the proliferation of TU177 cells were assessed using CCK-8 and colony formation assays. Additionally, Western blot analysis was employed to measure the expression levels of PI3K, p-PI3K, Akt, and p-Akt proteins. Results: A total of 159 overlapping targets between Xanthatin and LSCC were identified, and seven key targets, including AKT1, were screened. GO enrichment analysis yielded 2 455 entries, and KEGG enrichment analysis identified 172 pathways, such as the PI3K-Akt signaling pathway. Xanthatin exhibited favorable binding activity with the core target proteins of LSCC in molecular docking experiments. The transcriptomics results showed high consistency with the predictions from network pharmacology. CCK-8 and colony formation assays demonstrated that Xanthatin at concentrations of 1, 2, and 4 μmol/L significantly inhibited the proliferation of TU177 cells in a dose-dependent manner. The expression levels of p-PI3K and p-Akt proteins decreased with increasing concentrations of Xanthatin. Conclusion Xanthatin may exert an inhibitory effect on the proliferation of LSCC cells by modulating the PI3K-Akt signaling pathway.

This study aimed to explore the therapeutic mechanisms of Colquhounia Root Tablets(CRT) in treating diabetic kidney disease(DKD) by integrating biomolecular network mining with animal model verification. By analyzing clinical transcriptomics data, an interaction network was constructed between candidate targets of CRT and DKD-related genes. Based on the topological eigenvalues of network nodes, 101 core network targets of CRT against DKD were identified. These targets were found to be closely related to multiple pathways associated with type 2 diabetes, immune response, and metabolic reprogramming. Given that immune-inflammatory imbalance driven by metabolic reprogramming is one of the key pathogenic mechanisms of DKD, and that many core network targets of CRT are involved in this pathological process, receptor for advanced glycation end products(RAGE)-reactive oxygen species(ROS)-phosphatidylinositol 3-kinase(PI3K)-protein kinase B(AKT)-nuclear factor-κB(NF-κB)-NOD-like receptor family pyrin domain containing 3(NLRP3) signaling axis was selected as a candidate target for in-depth research. Further, a rat model of DKD induced by a high-sugar, high-fat diet and streptozotocin was established to evaluate the pharmacological effects of CRT and verify the expression of related targets. The experimental results showed that CRT could effectively correct metabolic disturbances in DKD, restore immune-inflammatory balance, and improve renal function and its pathological changes by inhibiting the activation of the RAGE-ROS-PI3K-AKT-NF-κB-NLRP3 signaling axis. In conclusion, this study reveals that CRT alleviates the progression of DKD through dual regulation of metabolic reprogramming and immune-inflammatory responses, providing strong experimental evidence for its clinical application in DKD.
Animals ; Diabetic Nephropathies/metabolism* ; Receptor for Advanced Glycation End Products/genetics* ; NF-kappa B/genetics* ; Signal Transduction/drug effects* ; Rats ; NLR Family, Pyrin Domain-Containing 3 Protein/genetics* ; Proto-Oncogene Proteins c-akt/genetics* ; Drugs, Chinese Herbal/administration & dosage* ; Male ; Phosphatidylinositol 3-Kinases/genetics* ; Reactive Oxygen Species/metabolism* ; Humans ; Plant Roots/chemistry* ; Rats, Sprague-Dawley ; Tablets/administration & dosage*

ObjectiveTo analyze the drug resistance and the molecular typing characteristics through pulsed field gel electrophoresis (PFGE) of Campylobacter spp. isolated from patients with infectious diarrhea in Baoshan District of Shanghai, and to provide a basis for Campylobacter spp. prevention and control and clinical medication. MethodsCampylobacter spp. was isolated, cultured and identified from stool samples of diarrheal patients collected from medical institutions at two monitoring sites in Baoshan District from 2019 to 2022. Antimicrobial susceptibility testing for 12 antibiotics was conducted on the isolated Campylobacter jejuni (C. jejuni) and Campylobacter. Coli (C. coli), and molecular typing was performed using PFGE. ResultsA total of 179 strains of Campylobacter spp. were isolated from 1 786 samples of diarrheal patients, with a positive rate of 10.02%. The highest resistance rate of C. jejuni was to ciprofloxacin (98.63%), followed by tetracycline (97.26%) and nalidixic acid (89.73%). C. coli was completely resistant to ciprofloxacin and nalidixic acid (100.00%), followed by tetracycline (90.91%). The multidrug resistance rates of C. jejuni and C. coli were 89.73% and 100.00%, respectively. 142 strains of C. jejuni produced 122 PFGE bands, while 33 strains of C. coli produced 33 PFGE bands, and the distribution of the bands was relatively dispersed. ConclusionFrom 2019 to 2022, the detection rate of Campylobacter in diarrheal patients was relatively high in Baoshan District of Shanghai, the multidrug resistance rate of Campylobacter isolates from diarrheal patients was relatively serious, in addition, the drug resistance pattern was complex, and the PFGE band pattern displayed a polymorphic distribution.

ObjectivesTo investigate the molecular epidemiological characteristics of HIV-1 infection among men who had sex with men (MSM) in Taizhou City, Zhejiang Province, and to provide a scientific reference for acquired immune deficiency syndrome prevention and control efforts. MethodsThe research subjects were all newly reported MSM population in Taizhou City from 2020 to 2023. Blood samples without antiviral therapy were collected. The HIV-1 pol gene was amplified and sequenced, and the sequences were submitted to the Stanford University drug resistance database to identify the mutation sites and drug resistance. MEGA 11.0 software was used to analyze the nucleic acid sequences, construct phylogenetic tree, and calculate genetic distance of gene sequences. The molecular transmission network diagram of HIV-1 was constructed using Cytoscape_v3.10.1, and the influencing factors of network entry were analyzed by logistic regression. ResultsA total of 363 newly reported HIV-infected MSM patients were included, with a median age [M (P₂₅, P₇₅)] of 34 (26,47) years old. The majority had an educational level of junior high school or below (55.65%). A total of eight subtypes were found, mainly CRF07_BC and CRF01_AE. The primary drug resistance rate was 10.47% (38/363). The optimal molecular network gene distance was 0.019, with a network access rate of 42.70% (155/363), and a total of 47 molecular clusters were formed. Multivariate logistic analyses showed that compared with the CRF01_AE subtype, the clustering risk of CRF07_BC subtype was higher (OR=1.916, 95%CI: 1.191‒3.109), cases with drug resistance had a higher risk of cluster formation than those without drug resistance (OR=2.011, 95%CI: 1.006‒4.080), and recent infected patients had a lower risk of entering the largest molecular cluster than long-term infected patients (OR=0.376, 95%CI: 0.137‒0.928). ConclusionThe newly diagnosed infections among the MSM population are active in Taizhou City, Zhejiang Province, with a high level of primary drug resistance. Individuals carrying drug-resistant strains are more likely to cluster. Drug resistance monitoring should be strengthened to prevent further spread of drug-resistant strains in the network.

Personalized drug response prediction from molecular data is an important challenge in precision medicine for treating cancer. Computational methods have been widely explored and have become increasingly accurate in recent years. However, the clinical application of prediction methods is still in its infancy due to large discrepancies between preclinial models and patients. We present a novel disentangled synthesis transfer network (DiSyn) for drug response prediction specifically designed for transfer learning from preclinical models to clinical patients. DiSyn uses a domain separation network (DSN) to disentangle drug response related features, employs data synthesis technology to increase the sample size and iteratively trains for better feature disentanglement. DiSyn is pretrained on large-scale unlabeled cancer samples and validated by three datasets, The Cancer Genome Atlas (TCGA), Investigation of Serial Studies to Predict Your Therapeutic Response With Imaging And moLecular Analysis 2 (I-SPY2) and Novartis Institutes for Biomedical Research Patient-Derived Xenograft Encyclopedia (NIBR PDXE), achieving competitive performance with the state-of-the-art methods on cancer patients and mice. Furthermore, the application of DiSyn to thousands of breast cancer patients show the heterogeneity in drug responses and demonstrate its potential value in biomarker discovery and drug combination prediction.

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To promote the standardization and normalization of perioperative care for follicular unit extraction(FUE) hair transplantation, ensure treatment efficacy, and align with advancements in the specialty, the Nursing Branch of the Chinese Association of Plastic and Aesthetics organized a panel of domestic experts. By integrating evidence-based medicine with clinical practice experience, and following thorough discussions, these experts developed the Clinical Practice Expert Consensus on Perioperative Nursing Care for Follicular Unit Extraction (2025). This consensus provides a comprehensive overview of hair transplantation, covering preoperative preparation, surgical procedures, intraoperative coordination, postoperative management, and complication prevention and treatment. It serves as a key reference and guide for implementing standardized perioperative nursing care in FUE hair transplantation.

Objective:To elucidate the inhibitory effect of interferon-γ(IFN-γ)on the proliferation of neuroblastoma cells and the protentral gene signature of IFN-γ and the relationship between the expression of gene signature of IFN-γ in the neuroblastoma cells and its adverse prognosis,and to clarify the effect of IFN-γ and its gene signture in the neuroblastoma.Methods:The SK-N-BE(2)(proto-oncogene N-MYC amplification type)and SH-SY5Y(proto-oncogene N-MYC non-amplification type)neuroblastoma cells were selected and treated with different concentrations(0,500,750,1 000 and 1 500 μg·L-1)of IFN-γ for 24 h,followed by cell proliferation assays using cell counting kit-8(CCK-8).Transcriptome sequencing was then performed to identify the gene signature of IFN-γ.Additionally,the tissue microarrays from 23 cases of neuroblastoma and 6 cases of normal adrenal gland samples were collected,immunohistochemistry(IHC)analysis was used to to detect the expression of gene signature of IFN-γ.Based on the expression levels of gene signature of IFN-γ,the samples were divided into SULT2B1 low and high expression groups.The correlation between the expression of gene signature of IFN-γ and poor prognosis of the patients was analyzed.Results:The CCK-8 assay results showed that as IFN-γconcentration increased,the proliferation of SK-N-BE(2)cells was significantly inhibited(P＜0.01),with inhibitory rates of SK-N-BE(2)cells in four groups were 6.73％,6.77％,7.67％,and 9.19％,respectively.In contrast,the proliferation rate of SH-SY5Y cells were significantly increased with the increase of IFN-γ concentrations(P＜0.01),and the proliferation rates of SH-SY5Y cells in four groups were 46.80％,79.19％,70.30％,and 72.33％,respectively.Transcrip tome sequencing identified hydroxysteroid sulfotransferase 2B1(SULT2B1)as a potential gene signature of IFN-γ.The IHC analysis results showed the expression amount of SULT2B1 protein in neuroblastoma tissues was increased.The clinical data analysis results revealed significant differences in age(Z=-2.618,P=0.018),lymphnode metastasis(x2=4.439,P=0.035),and distant metastasis(x2=5.856,P=0.016)between low and high SULT2B1 expression groups.Conclusion:IFN-γ can inhibit the proliferation of SK-N-BE(2)cells while promoting the proliferation of SH-SY5Y cells.SULT2B1 is a potential gene signature of IFN-γ,and its expression is upregulated in neuroblastoma tissue.SULT2B1 high expression is significantly associated with poor prognosis in the neuroblastoma patients.

A 7-year-old girl was admitted to the hospital with rapidly progressive vision loss. Since 1 year of age, she had exhibited developmental delay accompanied by visual impairment and neutropenia. Combined with genetic testing and molecular pathogenicity analysis, she was diagnosed with Cohen syndrome (CS) caused by compound heterozygous variants in VPS13B (c.6940+1G>T and c.2911C>T). The c.6940+1G>T variant resulted in exon 38 skipping, leading to a frameshift and premature termination. Reverse transcription quantitative polymerase chain reaction revealed significantly reduced VPS13B gene expression (P<0.05). Bioinformatic analysis suggested that both variants likely produce truncated proteins. This case highlights that integrating clinical features with molecular pathogenicity assessment (DNA, RNA, and protein analysis) can improve early diagnostic accuracy for CS.
Humans ; Female ; Child ; Vesicular Transport Proteins/genetics* ; Developmental Disabilities/etiology* ; Muscle Hypotonia/etiology* ; Myopia/etiology* ; Heterozygote ; Intellectual Disability/etiology* ; Microcephaly/etiology* ; Obesity/genetics* ; Growth Disorders/etiology* ; Retinal Degeneration/genetics* ; Psychomotor Disorders/genetics* ; Fingers/abnormalities*