Objective:This study aims to explore the ability of three assessment tools,namely mPG-SGA,PG-SGA,and GLIM,to evaluate malnutrition in patients with head/neck tumors undergoing radiotherapy.Additionally,it intends to investigate the correlation between mPG-SGA and calf circumference,grip strength,as well as traditional laboratory indicators in assessing malnutrition in this patient population.Methods:Prospectively,patients with head/neck tumors undergoing radiotherapy in West China Hospital,Sichuan University from January 1,2025 to March 20,2025 were selected as the research subjects.Baseline data and traditional nutritional indicators of the patients were collected,and malnutrition assessment was conducted using three tools:mPG-SGA,PG-SGA,and GLIM.Spearman correlation coefficient was used for analysis to explore the correlation between mPG-SGA scores and traditional nutritional indicators.Results:A total of 106 patients were initially included in this study,with 6 cases excluded,resulting in 100 eligible head and neck tumor patients.The average age of the enrolled patients was(51.62±11.97)years,among whom 74 were male(74%).The incidence rates of malnutrition assessed by mPG-SGA,PG-SGA,and GLIM were 41%,45%,and 23%,respectively.With PG-SGA as the gold standard reference,the sensitivity of mPG-SGA and GLIM in detecting malnutrition was 100.00%and 28.89%,respectively,and the specificity was 93.22%and 81.82%,respectively,with AUC values of 0.956 and 0.554.Results of correlation analysis showed that left calf circumference,right calf circumference,dominant hand grip strength,non-dominant hand grip strength,hemoglobin,and red blood cells were positively correlated with mPG-SGA[correlation coefficients were 0.307(P=0.002),0.294(P=0.003),0.395(P<0.001),0.360(P<0.001),0.226(P=0.028),and 0.267(P=0.009),respectively].Conclusion:mPG-SGA exhibited comparable diagnostic efficacy to PG-SGA and GLIM for malnutrition assessment in head and neck cancer patients undergoing radiotherapy,while offering simplified operational procedures.This tool shows potential as a rapid nutritional evaluation alternative,though multicenter validation across various cancer types remains necessary.

Objective:To analyze the research hotspots and trends of Yupingfeng Powder from 2000 to 2023; To provide reference for related research.Methods:The research literature related to Yupingfeng Powder was retrieved from CNKI, VIP, Wanfang Data and SinoMed from January 1, 2000 to December 20, 2023. Excel 2022 software was used to analyze the annual number of publications. CiteSpace 6.1.R6 software was used for visualization analysis on the authors, research institutions and key words.Results:A total of 2 522 articles were included, and the number of published articles showed a fluctuating growth trend in recent years. The journal with the largest number of articles was New Chinese Medicine (55 articles). The authors with the most publications were Hong Min from Nanjing University of Chinese Medicine (9 articles) and Zhang Zhonglin from Chengdu Medical College (9 articles). Yunnan University of Chinese Medicine (13 articles) had the largest number of publications. High-frequency keywords included allergic rhinitis, children, urticaria, recurrent respiratory tract infection, etc. The clustering analysis generated 11 labels. Conclusions:The research hotspots of Yupingfeng Powder focus on clinical application, integrated traditional Chinese and Western medicine therapy, syndrome type research and pharmacological research. Predicting potential drug targets with the help of network pharmacology and molecular docking technology and exploring its mechanism are the research trends in this field.

Objective:To analyze the research status, hotspots, and trends of Banxia Houpu Decoction.Methods:Research literature about Banxia Houpu Decoction was retrieved from the CNKI, VIP, Wanfang Data, and SinoMed from January 1, 2000 to June 30, 2024. NoteExpress 3.6.0.9220 software was used to merge and eliminate duplicates, and CiteSpace 6.1.R6 software was used to draw and interpret the annual publication volume, authors, and keywords.Results:A total of 716 articles were included in this study, and the number of articles increased first and then decreased in recent years. The journal with the most published articles was Journal of Practical Traditional Chinese Medicine (23 articles); the author with the largest number of articles was Kong Lingdong from Nanjing University (7 articles); high-frequency keywords included "globus hystericus", "cough" and "chronic pharyngitis". A total of 11 labels were generated by clustering analysis, which could be summarized into two topics: clinical application (chronic pharyngitis, gastroesophageal reflux disease, aspiration pneumonia, depression, etc.) and literature type (clinical observation, experimental research). Conclusions:The research hotspots of Banxia Houpu Decoction are focused on clinical application and compatibility research. Using network pharmacology to predict potential drug targets and explore their mechanisms, conducting experimental research to explore pharmacological effects and clinical applications for treating diseases is a research trend in this field.

Objective To establish and evaluate a nomogram prediction model for spontaneous peritonitis in HBV-related primary liver cancer.Methods A retrospective study was conducted on 1298 patients with HBV-related primary liver cancer hospitalized in the Kunming Third People's Hospital from January 2012 to December 2022.General data and serological indicators were collected,and patients were divided into infection group(n=262)and control group(n=1036)based on the occurrence of spontaneous peritonitis.Univariate and LASSO regression analyses were used to screen variables,followed by binary logistic regression to analyze the influencing factors of spontaneous peritonitis in HBV-related primary liver cancer patients,leading to the establishment of a nomogram prediction model.Finally,the Hosmer-lemeshow(H-L)goodness of fit test,receiver operating characteristic(ROC)curve,calibration curve,decision curve analysis(DCA)and clinical impact curve(CIC)were utilized to evaluate the fit degree,accuracy,calibration,and clinical practicability of the nomogram prediction model.Results Single factor analysis revealed significant differences between infection group and control group in portal vein cancer thrombus(PVTT),Child-Pugh grade,China Liver Cancer Staging(CNLC)stage,alcohol consumption history,smoking history,white blood cell count(WBC),neutrophil count(NE),hemoglobin(Hb),fibrinogen(FIB),abnormal prothrombin(PIVKA-Ⅱ),aspartate aminotransferase(AST),alanine aminotransferase(ALT),total protein(TP),prealbumin(PA),γ-glutamyltransferase(GGT),alkaline phosphatase(ALP),cholinesterase(CHE),total bile acid(TBA),total cholesterol(TC),low density lipoprotein(LDL),creatinine(Cr),HBV DNA,CD3+T cells count,CD4+T cells count,CD8+T cells count,CD4+T cells/CD8+T cells ratio,procalcitonin(PCT),serum amyloid A(SAA),interleukin-6(IL-6),high-sensitivity C-reactive protein(hs-CRP),alpha-fetoprotein(AFP),and IL-4(P＜0.05).LASSO regression analysis identified 5 variables:Child-Pugh grade,PVTT,WBC,CHE and hs-CRP.Binary logistic regression analysis indicated that Child-Pugh grade(Grade B:OR=5.780,95％CI 3.271-10.213,P＜0.001;Grade C:OR=14.818,95％CI 7.697-28.526,P＜0.001),PVTT(OR=2.893,95％CI 2.037-4.108,P＜0.001),WBC(OR=1.088,95％CI 1.031-1.148,P=0.002),and hs-CRP(OR=1.005,95％CI 1.001-1.010,P=0.026)were the independent risk factors of spontaneous peritonitis in HBV-related primary liver cancer patients.Using these 4 variables,a nomogram prediction model was constructed and evaluated.The P-value of the H-L goodness of fit test was 0.760.Moreover,the area under ROC curve(AUC)was 0.866,with a sensitivity of 0.870 and a specificity of 0.716.The average absolute error of the calibration curve is 0.022.DCA and CIC analyses demonstrated that the nomogram prediction model possessed some clinical utility.Conclusion The nomogram prediction model for spontaneous peritonitis in HBV-related primary liver cancer patients,constructed using Child-Pugh grade,PVTT,WBC and hs-CRP,exhibits a high fitting degree and accuracy,with the prediction probability highly consistent with the actual occurrence probability,and possesses certain clinical practicability.

Metabolites produced as intermediaries or end-products of microbial metabolism provide crucial signals for health and diseases, such as metabolic dysfunction-associated steatotic liver disease (MASLD). These metabolites include products of the bacterial metabolism of dietary substrates, modification of host molecules (such as bile acids [BAs], trimethylamine-N-oxide, and short-chain fatty acids), or products directly derived from bacteria. Recent studies have provided new insights into the association between MASLD and the risk of developing chronic kidney disease (CKD). Furthermore, alterations in microbiota composition and metabolite profiles, notably altered BAs, have been described in studies investigating the association between MASLD and the risk of CKD. This narrative review discusses alterations of specific classes of metabolites, BAs, fructose, vitamin D, and microbiota composition that may be implicated in the link between MASLD and CKD.

Metabolites produced as intermediaries or end-products of microbial metabolism provide crucial signals for health and diseases, such as metabolic dysfunction-associated steatotic liver disease (MASLD). These metabolites include products of the bacterial metabolism of dietary substrates, modification of host molecules (such as bile acids [BAs], trimethylamine-N-oxide, and short-chain fatty acids), or products directly derived from bacteria. Recent studies have provided new insights into the association between MASLD and the risk of developing chronic kidney disease (CKD). Furthermore, alterations in microbiota composition and metabolite profiles, notably altered BAs, have been described in studies investigating the association between MASLD and the risk of CKD. This narrative review discusses alterations of specific classes of metabolites, BAs, fructose, vitamin D, and microbiota composition that may be implicated in the link between MASLD and CKD.

Metabolites produced as intermediaries or end-products of microbial metabolism provide crucial signals for health and diseases, such as metabolic dysfunction-associated steatotic liver disease (MASLD). These metabolites include products of the bacterial metabolism of dietary substrates, modification of host molecules (such as bile acids [BAs], trimethylamine-N-oxide, and short-chain fatty acids), or products directly derived from bacteria. Recent studies have provided new insights into the association between MASLD and the risk of developing chronic kidney disease (CKD). Furthermore, alterations in microbiota composition and metabolite profiles, notably altered BAs, have been described in studies investigating the association between MASLD and the risk of CKD. This narrative review discusses alterations of specific classes of metabolites, BAs, fructose, vitamin D, and microbiota composition that may be implicated in the link between MASLD and CKD.

Ulcerative colitis(UC)is an immune-mediated inflammatory disease of the intestine.Mitochondrial homeostatic imbalance plays an important role in the development of UC.Spleen-stomach qi deficiency is the root cause of UC.This article focused on the theory of"spleen acting as the defense for host"and mitophagy to explain the pathological mechanism of UC,and discussed the correlation between mitochondria and spleen in combination with the related research of traditional Chinese and Western medicine.It proposed that mitophagy disorder is the microscopic manifestation of UC"spleen losing the defense",explored the application of the method of strengthening the spleen and restoring defense at the micro level to improve mitochondrial function,alleviate intestinal inflammation,and provide reference for theoretical research and clinical prevention and treatment of UC.

Objective:To explore the clinical characteristics of neonatal necrotizing enterocolitis（NEC）and analyze the risk factors for early-onset NEC.Methods:A total of 220 children with NEC admitted to the Department of Pediatrics，Tianjin Medical University General Hospital from January 1st，2018 to February 29th，2024 were retrospectively selected as the research objects. According to the time of onset，the early-onset group（ n=120）and the late-onset group（ n=100）were established，and the clinical characteristics of the two groups were compared. Another 150 cases of normal healthy newborns born in this hospital in the same period were selected as the control group，and the clinical data of the control group were collected. The clinical characteristics of the early-onset group and the control group were compared，and the risk factors of early-onset NEC were analyzed by multivariate Logistic regression. Results:Compared with the late-onset group，the early-onset group had fever［50.0%（60/120）vs. 40%（40/100）， χ2=7.333， P=0.007］，apnea［39.17%（47/120）vs. 28%（28/100）， χ2=7.568， P=0.006］，no rise in body temperature［56.67%（68/120）vs. 39%（39/100）， χ2=6.815， P=0.009］，abdominal distension［25%（30/120）vs. 40%（40/100）， χ2=13.200， P<0.001］，vomiting［30.83%（37/120）vs. 45%（45/100）， χ2=12.797， P<0.001］was significantly different（all P<0.05）；Multivariate Logistic regression analysis：weight<1 500 g（ OR=5.871，95% CI：3.153～9.673， P<0.001），gestational age<30 weeks（ OR=4.256，95% CI：2.641～7.896， P=0.007），hemodynamically significant patent ductus arteriosus（hs-PDA）（ OR=3.113，95% CI：1.865～5.133， P=0.033），severe anemia（ OR=3.057，95% CI：2.165～4.802， P=0.001），feeding intolerance（ OR=4.215，95% CI：1.579～10.802， P=0.005），amniotic fluid pollution（ OR=2.452，95% CI：1.579～3.111， P<0.001）were the independent risk factors for early-onset NEC（all P<0.05）. Conclusion:Weight<1 500 g，gestational age<30 weeks，hs-PDA，severe anemia，feeding intolerance，and amniotic fluid contamination are independent risk factors for early-onset NEC. In clinical practice，more attention should be paid to these factors for disease prevention，early identification，and timely intervention in newborns to reduce the occurrence of NEC.

Objective:To screen broadly neutralizing antibodies in human immunodeficiency virus-1（HIV-1）chronically infected individuals and characterize their molecular features and to provide new strategies for rational vaccine development and antibody-based therapeutics.Methods:A total of 34 treatment-na?ve individuals with chronic HIV-1 infection were enrolled. Plasma antibody binding levels were measured against two HIV-1 envelope proteins. Single antigen-specific memory B cells were sorted from high-binding samples，and antibody variable region genes were amplified by PCR for paired expression. The monoclonal antibodies were evaluated for neutralizing activity using pseudovirus assays，and their structural features were analyzed by integrating AlphaFold 3 prediction with Discovery Studio molecular docking.Results:Plasma samples showed strong binding to DU422-GP140 and BG505-GP140. Eight monoclonal antibodies were isolated from two donors. Among them，antibodies 0919-A4，0919-A9 and 0808-A2 could cross-react with GP140 from HIV-1 subtypes AE，BC and B. The monoclonal antibody 0919-A9 demonstrated potent neutralizing activity against SF162（Tier 1）and CH181（Tier 2）pseudoviruses，with somatic hypermutation rates of 13.27%（heavy chain）and 15.58%（light chain）. Structural modeling revealed its specific targeting of the V1V2 region on GP120.Conclusion:The isolated antibody 0919-A9 effectively neutralizes Tier 2 pseudoviruses. Its high somatic mutation frequency and V1V2-targeting property underlie its neutralizing activity，providing both a promising candidate and mechanistic insights for HIV vaccine development and antibody-based therapeutic strategies.