Objective:To identify the nucleotide sequence of a novel HLA-DRB1*12: 106 allele. Methods:A blood donor who was joined into the database for platelet matching transfusion at the Blood Center of Zhejiang Province in 2023 was selected as the study subject. HLA genotyping was carried out through next-generation sequencing based on AllType NGS 11 locus, AllType FASTPlex NGS reagents, and Sanger sequencing method. The HLA genotype of the donor by Sanger sequencing and next generation sequencing were assigned by using uTYPE 7.3 and TypeStream Visual 3.0 software, respectively. This study was approved by Medical Ethics Committee of the Zhejiang Blood Center (Ethics No. Provincial Blood Center Ethics Review 2022 Research No. 001). Results:A novel HLA-DRB1*12 allele has been identified, and the full coding sequence has been submitted to the GenBank database (No. OR101190), and the length of submitted sequence was 801 bp, which was officially named as HLA-DRB1*12: 106 by the WHO Nomenclature Committee for Factors of the HLA System (submission No. HWS10066755). Compared with the sequence of the highest homology ( HLA-DRB1*12: 01: 01: 01 allele), a single nucleotide change was identified at position 344 T>G in the exon 2 of the HLA-DRB1*12: 106, which has resulted in replacement of Valine by Glycine at residue 86. The HLA genotype of the proband was determined as HLA-A*02: 01, 11: 01; -B*13: 02, 40: 01; -C*01: 02, 03: 03; -DRB1*07: 01, 12: 106; -DRB3*01: 01; -DRB4*01: 03; -DQA1*02: 01, 04: 01; -DQB1*02: 02, 04: 02; -DPA1*01: 03, 01: 03; -DPB1*02: 01: 02G, 04: 01: 01G. Conclusion:A novel HLA-DRB1 allele has been identified in the Chinese population. The mutated amino acid, located in the peptide binding region of the β chain, may affect the binding characteristics of antigen peptides.

Objective To explore the correlation between gallbladder stones and small intestinal bacterial overgrowth(SIBO).Methods A retrospective analysis was conducted on the clinical data of 393 patients who attended the Department of Gastroenterology of the Sixth Medical Center of Chinese PLA General Hospital from January 2021 to September 2023.They were divided into gallbladder stones group(n=190)and control group(n=203)based on the presence of gallbladder stones.Their general clinical data,laboratory test results,and abdominal symptoms were compared.Multivariate logistic regression was used to analyze the risk factors for gallbladder stones.Additionally,the total population was divided into SIBO-positive group(n=239)and SIBO-negative group(n=154),and their clinical characteristics were analyzed by logistic regression to explore the risk factors for SIBO.Results Univariate analysis revealed that gallbladder stones group had a higher rate of age,body mass index(BMI),fasting plasma glucose(FPG),glutaminase levels,prevalence of hypertension,diabetes,coronary heart disease,non-alcoholic fatty liver disease,gallbladder polyps,and SIBO,as well as a higher prevalence of CH4-positive and H2-positive in SIBO group than control group(P＜0.05).In terms of abdominal symptoms,the incidence of bad breath(48.4%vs.35.5%),dyspepsia(38.4%vs.28.6%),abdominal pain(30.5%vs.14.8%),bloating(42.1%vs.28.6%),diarrhea(20.5%vs.7.4%),and more exhaustion(46.8%vs.34.5%)were significantly higher in gallbladder stones group than those in control group(P＜0.05).Multivariate logistic regression analysis showed that independent positive determinants for incident gallbladder stones were age,BMI,FPG,total bilirubin(TBIL),coronary heart disease,gallbladder polyps,and SIBO.Univariate analysis revealed that age,prevalence of gallbladder stones,proportion of single stones,triglycerides(TG),total cholesterol(TC),and low-density lipoprotein cholesterol(LDL-C)were significantly higher in SIBO-positive group than those in SIBO-negative group(P＜0.05).Multivariate logistic regression analysis showed that the risk factors for SIBO were age,coronary heart disease,and gallbladder stones,while the protective factor for SIBO was high-density lipoprotein cholesterol(HDL-C).Conclusion There is a significant correlation between gallbladder stones and small SIBO;interventions on related factors of gallbladder stones and small SIBO may help reduce their incidence.

Objective To explore the influencing factors of different types of small intestinal bacterial overgrowth(SIBO).Methods A total of 539 patients who were hospitalized in the Department of Gastroenterology,the Sixth Medical Center of PLA General Hospital from June 2021 to December 2021 and who underwent methane-hydrogen breath test were retrospectively selected.Based on breath test results,patients were divided into SIBO-negative group(n=300)and SIBO-positive group(n=239).The clinical data were compared between two groups.According to the specific values of breath test results,SIBO-positive patients were further divided into hydrogen-producing bacterial overgrowth(hydrogen-positive,n=103),intestinal methanogen overgrowth(methanogen-positive,n=80),and simultaneous methanogen and hydrogen-producing bacterial overgrowth(double positive,n=56)groups.Multivariate logistic regression analysis was employed to identify influencing factors of different SIBO types.Additionally,SIBO-positive patients were categorized by age into<45 years(n=23),45-60 years(n=82),60-75 years(n=124),and≥75 years(n=10)to compare SIBO positivity rates across age groups.Results The patients in SIBO-positive and double positive groups were older and had a lower body mass index(BMI)than those in SIBO-negative group,with statistically significant differences(P<0.05).Compared with the patients in SIBO-negative group,those in hydrogen-positive group showed a higher proportion of history of coronary heart disease,those in methanogen-positive group were older,and higher proportion of statin use,with statistically significant differences(P<0.05).Multivariate logistic regression analysis revealed that,among different SIBO types,a history of coronary heart disease served as an independent risk factor for hydrogen-producing bacterial overgrowth(OR=2.728,95%CI 1.271-5.857,P=0.010).For methanogen overgrowth,increasing age was identified as an independent risk factor(OR=1.040,95%CI 1.009-1.063,P=0.010),while the application of statin played the role of an independent protective factor(OR=0.420,95%CI 0.236-0.754,P=0.003).As for the simultaneous overgrowth of methane-producing and hydrogen-producing bacteria,increased BMI was found to be an independent protective factor(OR=0.870,95%CI 0.786-0.964,P=0.008).In SIBO-positive group,it was found that for patients aged<45 years,both the methane-positive rate and the double-positive rate were significantly lower than the hydrogen positivity rate(P<0.05).Moreover,among patients aged 45-60 years,the double-positive rate was significantly lower than the hydrogen positivity rate(P<0.01).When it comes to the hydrogen-positive rate,it was significantly lower for patients aged 45-60 and 60-75 years compared with that of patients aged<45 years(P<0.05).In contrast,the methane-positive rate and the double-positive rate were significantly higher for patients aged 45-60 and 60-75 years than those of patients aged<45 years(P<0.01).Conclusion A history of coronary heart disease and increasing age are independent risk factors for intestinal hydrogen-producing bacterial overgrowth and methanogen overgrowth,respectively.The application of statins and increased BMI are independent protective factors for intestinal methanogen simultaneous overgrowth of methanogen and hydrogen-producing bacteria,respectively.

This review delves into the pivotal role of necrotic apoptosis in Alzheimer's disease(AD),with a focus on treatment strategies,drug development,prospects,and challenges,highlighting its significance in the progression of the disease.Firstly,necrotic apoptosis plays a crucial role in the pathogenesis of AD,particularly in association with the abnormal metabolism of β-amyloid(Aβ)and Tau proteins.The primary focus of drug design is to regulate the metabolism pathways of these two proteins to slow down or inhibit the progression of necrotic apoptosis.Secondly,the progress in drug development further emphasizes the importance of necrotic apoptosis in treating AD.Current research mainly focuses on drugs that affect the metabolism of Aβ and Tau proteins,such as lecanemab.Still,inconsistent result underscore the necessity for a more comprehensive understanding of the molecular mechanisms of necrotic apoptosis.Finally,the prospects and challenges of necrotic apoptosis research in AD are thoroughly discussed.A deeper understanding of necrotic apoptosis contributes to a better comprehension of the pathological mechanisms of AD but also may reveal new therapeutic targets.However,challenges such as multifactorial influences and the selection of treatment timing necessitate further in-depth research in the future.In conclusion,this review advocates for future research to deepen the understanding of the molecular mechanisms of necrotic apoptosis,enhance research on treatment strategies,gain a deeper understanding of its cross-regulation with other cell death pathways,and promote collaboration between basic research and clinical practice to advance the comprehensive understanding and treatment of Alzheimer's disease and necrotic apoptosis.

Objective To explore the application effect of blood pressure management based on the health belief model in patients with moyamoya disease after cerebral vascular reconstruction sur-gery.Methods From February to July 2024,210 patients with moyamoya disease who underwent cerebral vascular reconstruction surgery in our hospital were selected as study subjects.They were randomly divided into control group and intervention group,with 105 cases in each group.The control group received routine nursing care,while the intervention group applied blood pressure management based on the health belief model on the basis of routine nursing care.The postoperative cerebral hy-perperfusion syndrome and blood pressure control status of the two groups were compared,and the Health Belief Scale and the Mishel Uncertainty in Illness Scale were used to evaluate the effects before and after intervention.Results A total of 203 patients completed the study,including 100 cases in the control group and 103 cases in the intervention group.There were statistically significant differ-ences in the incidence of cerebral hyperperfusion syndrome and the proportion of patients with blood pressure higher than baseline data between the two groups(P＜0.05).After the intervention,there were statistically significant differences in the postoperative cerebral hyperperfusion syndrome status and blood pressure control status between the two groups(P＜0.05).After intervention,there were statistically significant differences in the scores of susceptibility and health motivation dimensions as well as the total score in the Health Belief Scale between the intervention group and the control group(P＜0.05).After the intervention,there were statistically significant differences in the scores of ambiguity and unpredictability dimensions as well as the total score in the Mishel Uncertainty in Ill-ness Scale between the intervention group and the control group(P＜0.05).Conclusion Blood pressure management based on the health belief model can effectively control blood pressure,reduce the incidence of cerebral hyperperfusion,improve health beliefs,and reduce the sense of uncertainty about the disease.

This study assessed the role and mechanism of the recombinant Bacillus Calmette-Gue?rin vaccine(rBCG)with c-di-AMP adjuvant in regulating metabolism and immunity in epididymal white adipose(eWAT)in mice.Male C57BL/6 mice were intravenously immunized with BCG and rBCG,and their body weights were monitored.eWAT was isolated from the mice,and the stromal vascular fractions(SVFs)cell number was counted with a hemocytometer.Sections of mouse adipose tissue were prepared,and the size,number,and morphology of eWAT adipocytes and crown-like structure(CLS)formation were compared under a microscope after HE staining.The transcription levels of lipid metabolism-associated factors,cytokines and aging-associated genes in each group were determined with qRT-PCR.The body weights of mice gradually increased after immunization with BCG and rBCG.The proportions of eWAT increased,and the SVFs cell number decreased,in rBCG immunized mice.HE staining indicated that BCG immunization promoted hyperplasia,whereas rBCG immunization promoted hypertrophy of eWAT adipocytes;moreover,both BCG and rBCG immunization induced CLS formation in eWAT.The qRT-PCR results indicated that rBCG immunization inhibited the expression of genes associated with lipolysis and energy expenditure in eWAT.BCG immunization had little effect on cytokine transcription,whereas rBCG significantly induced the transcription of IFN-γ and IL-1Ra,and inhibited that of IL-15 and IL-2,but did not induce the expression of aging-associated genes.Thus,rBCG immunization induced eWAT adipocyte hypertrophy,which was associated with the inhibition of eWAT lipolysis and the regulation of cytokine expression.

Objective:To investigate the expression of LINC01088 in breast cancer and its effects on cell prolifera-tion,migration,and invasion.Methods:GEPIA and bc-GenExMiner were used to analyze the correlation between LINC01088 expression levels and clinical characteristics as well as prognosis.The expression of LINC01088 in MCF10A and MDA-MB-231,BT-549,MCF7 were detected by Real-time PCR.The effect of LINC01088 on the biological func-tion of breast cancer cells was examined by overexpressing LINC01088 in breast cancer cells.Cell proliferation was as-sessed using the Incucyte assay,while cell migration and invasion were evaluated using Transwell assays.Western blot-ting was employed to detect the expression of proteins associated with cell proliferation and metastasis.Results:LINC01088 expression was significantly lower in breast cancer tissues compared to normal breast tissues(P<0.05).Data from the bc-GenExMiner database revealed higher LINC01088 expression in HER2 positive patients(P<0.0001),corre-lating with longer overall survival(P=0.0006)and disease-free survival(P=0.0002).The mRNA expression level of LINC01088 in normal breast epithelial cell line was higher than that in breast cancer cell lines(P<0.05).Overexpression of LINC01088 significantly reduced proliferation,migration,and invasion in three breast cancer cell lines(P<0.01).Addi-tionally,LINC01088 upregulated p21 and p27(P<0.01),while downregulating Snail,Slug,PI3K,and phosphorylated Akt(P<0.05).Conclusion:LINC01088 expression was significantly reduced in human breast cancer.In vitro,LINC01088 in-hibited the proliferation,migration,and invasion of breast cancer cells.This effect may be attributed to its role in sup-pressing the PI3K-AKT pathway and epithelial-mesenchymal transition.

Objective:To explore the mechanism of curcumin (Cur) in intervening leukemia based on transcriptomics and network pharmacology.Methods:(1) Cell proliferation experiment: Leukemia MV-4-11 cells were cultured in vitro and divided into the control group (DMSO), 15 μmol/L curcumin group (Cur 15 μmol/L), and 20 μmol/L curcumin group (Cur 20 μmol/L). The CFSE method by flow cytometry was used to determine the inhibitory effect of curcumin on the growth of leukemia MV-4-11 cells at 0, 24, and 48 hours. (2) Network pharmacology analysis: the Smiles number of curcumin was obtained using the PubChem database. The targets of curcumin were retrieved from SwissTargetPrediction, SEA, TTD, and CTD platforms. Leukemia-related targets were screened using Genecards, OMIM, TTD, and CTD databases, and the intersection targets of curcumin-leukemia were further collected. (3) Transcriptomics and network pharmacology analysis: RNA from MV-4-11 cells in the control group and Cur group was collected, transcriptome sequencing was performed, and the common targets of differential genes in network pharmacology and transcriptomics were collected. The STRING website and Cytoscape software were used to construct a protein-protein interaction (PPI) network for the intersection targets. The David database and micro-bioinformatics were used for enrichment analysis based on gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) databases. Finally, the core targets and main pathways of curcumin in anti-leukemia were screened out.Results:(1) Compared with the control group, 15 μmol/L and 20 μmol/L curcumin significantly inhibited the proliferation of MV-4-11 cells (all P<0.05). (2) Network pharmacology analysis showed 1 209 curcumin drug targets and 7 702 leukemia-related targets, with 901 intersection targets for curcumin′s anti-leukemia effect. (3) Transcriptome sequencing showed 14 714 genes expressed in the curcumin group and 13 689 genes in the control group, with a total of 3 064 differentially expressed genes, including 2 189 up-regulated genes and 875 down-regulated genes. There were 182 intersection targets between network pharmacology and transcriptomics. KEGG enrichment results indicated that the anti-leukemia targets of curcumin were mainly related to cancer signaling pathways, phosphatidylinositol-3-kinase signaling pathway (PI3K-Akt) signaling pathway, and mitogen-activated protein kinase (MAPK) signaling pathway. Conclusions:This study obtained the gene expression profile of curcumin acting on leukemia and elaborated the molecular mechanism of inhibiting leukemia cell proliferation, which is mainly involved in cancer signaling pathways, PI3K-Akt signaling pathway, MAPK signaling pathway, etc., indicating that the inhibitory effect of curcumin on leukemia is multi-faceted and multi-level.

Objective:This study aimed to construct a prediction model for diagnosis of proliferative lupus nephritis based on a machine learning algorithm. Additionally, a user-friendly platform was developed to propose a non-invasive method to assist the pathologic classification of lupus nephritis.Methods:A retrospective analysis was conducted on clinical and pathological data of lupus nephritis patients confirmed by renal biopsy at Zhengzhou University People′s Hospital from January 2017 to August 2023. The study population was randomly divided into training and testing sets in a 7∶3 ratio. Utilizing six machine learning algorithms, classification models were developed. The predictive performance of each model was assessed using metrics such as accuracy, sensitivity, specificity, and the area under the receiver operating characteristic curve (AUC). The optimal model, once identified, was deployed as a web-based calculator for convenient model application. SPSS 25.0 and R 4.2.2 were used to analyze the data.Results:The study included a total of 212 patients, with 138 cases with proliferative lupus nephritis and 74 cases with non-proliferative lupus nephritis. The AUC values for the six models, namely logistic regression, decision tree, random forest, support vector machine, extreme gradient boosting, and light gradient boosting machine, were 0.79, 0.62, 0.79, 0.88, 0.81, and 0.77, respectively; the accuracy rates were 82.54%, 65.08%, 74.60%, 85.71%, 69.84%, 71.43%, respectively. Among them, the support vector machine model demonstrated the optimal performance. This model had deployed as a web-based calculator. Based on feature importance scores, the top 10 influencing factors were identified, including anti URNP antibody, immunoglobulin G, serum globulin, estimated glomerular filtration rate, anti Smith antibody, BMI index, anti dsDNA antibody, uric acid, anti-Rib.p antibody, and gender.Conclusion:A prediction model based on machine learning algorithms was successfully established, and a web calculator was developed to offer a simple and non-invasive method for diagnosing proliferative lupus nephritis. This can assist clinicians in evaluating the risk-benefit ratio of kidney biopsy in patients with lupus nephritis.

This review is based on the research progress and challenges of immune checkpoint inhibitors (ICIs) in the treatment of hepatocellular carcinoma (HCC). ICIs block the PD-1/PD-L1 and CTLA-4 pathways; thereby reactivate the body’s anti-tumor immune response, providing a new therapeutic option for patients with advanced HCC. However, the effect of ICIs is still compromised by factors such as primary and acquired resistance, immune-related adverse events and tumor microenvironment inhibition. This reveiw deeply analyzes these key mechanisms that affect the efficacy of ICIs, and proposes strategies to optimize the treatment, including combination with targeted therapy, chemotherapy and radiotherapy, modulation of tumor microenvironment, and the development of novel biomarkers. Future research should focus on personalized treatment that integrates the molecular and immunological characteristics of patients to enhance the precision and efficacy of ICIs therapy for patients with HCC.