To explore the correlation between MTHFR C677T gene polymorphism and hypertension, hyperhomocysteinemia(Hcy), and hyperlipidemia in the Tibetan population of Tibet.

Objective: To create a prediction model for stroke risk among middle-aged and elderly populations, so as to provide a basis for early identification of high-risk population for stroke. Methods: From October to December 2023, residents aged ≥45 years in Chongchuan District, Nantong City, Jiangsu Province were selected using a multi-stage stratified random sampling method. The demographic information, life behavior, and chronic disease data were collected through a questionnaire survey. The standardized prevalence of stroke was calculated using data from the seventh National Population Census. The subjects were randomly divided into the training set and the internal validation set according to the ratio of 8∶2. The basic demographic information, life behavior, and chronic diseases of residents aged ≥45 years in Rugao City were collected from July to August 2023 as the external validation set. Predictive factors were selected using multivariable logistic regression model, and a nomogram for stroke among residents aged ≥45 years was established. The prediction effect was evaluated using the area under the curve (AUC) of the receiver operating characteristic (ROC), calibration curve, and Hosmer-Lemeshow goodness of fit test. Results: A total of 6 290 residents aged ≥45 years were included, including 2 975 males (47.30%) and 3 315 females (52.70%). The average age was (61.90±10.20) years. The prevalence of stroke was 3.80%, and the standardized prevalence was 3.36%. The multivariable logistic regression showed that age, smoking, hypertension, and hyperlipidemia were predictors of stroke risk among residents aged ≥45 years, and the prediction model was ln[p/(1-p)]=-4.619+0.046×age+0.383×smoking+0.887×hypertension+0.678×hyperlipidemia. The AUC values of the training set, internal validation set, and external validation set were 0.748, 0.755, and 0.738, respectively. The consistency indexes were 0.748, 0.755, and 0.738, respectively. The Hosmer-Lemeshow goodness of fit test showed a good fitting effect (P>0.05). Conclusion The prediction model based on age, smoking, hypertension, and hyperlipidemia has good discrimination and calibration, and can be used to predict the risk of stroke among middle-aged and elderly populations aged ≥45 years.

To formulate an expert consensus on the principles of preoperative hair removal and provide scientific guidance for standardized removal of hair before surgical procedures so as to reduce the incidence of surgical site infections.METHODS Led by the Hospital Management Institute of National Health Commission of the People's Republic of China,this consensus was reached with the joint efforts from the expects of relevant fields such as surgeries,interventional therapies,nursing,and infection prevention and control.The consensus facilitates the classification and evaluation of literatures by following the evidence grade formulated by Oxford Evidence-based Medicine Center and focuses on the association of preoperative hair removal with surgical site infection,it reaches the evidence grade of expert consensus and recommendation intensity by integrating with discussions on meetings and clinical experience of the expects from relevant fields.RESULTS A total of 6 items of consensus were reached by summarizing the latest evidence on the aspects including the indications for preoperative hair removal,tools,range,timing and places.CONCLUSION The consensus,to some extent,make supplements to and complete the exiting regulations and standards.It provides guidance for the medical institutions to carry out the preoperative hair removal.

Sepsis is a life-threatening organ dysfunction disease caused by a dysregulated host response to infection.It has com-plex pathophysiological changes,and in severe cases,it can rap-idly develop into septic shock and multiple organ dysfunction or multiple organ failure.At present,the pathological mechanism of sepsis and its induced organ dysfunction is complex and the in-fluencing factors are numerous.So far,there is still a lack of specific and effective treatment strategies.RNA modify-N6-methyladenosine(m6 A)is one of the most common post-tran-scriptional modifications on eukaryotic RNAs.It is involved in the regulation of the occurrence and development of a variety of inflammatory diseases,including sepsis,and even multiple organ dysfunction induced by sepsis by affecting the metabolism of RNAs.It includes cardiac dysfunction,acute lung injury(ALI)and acute kidney injury(AKI).Therefore,this article will dis-cuss the effect of m6A modification on the function of immune cells,and its important role in sepsis and its induced multiple or-gan dysfunction diseases by regulating inflammatory signals,py-roptosis,mitochondrial damage and ferroptosis.This will provide new therapeutic targets and strategies for the clinical prevention and treatment of sepsis and its induced multiple organ dysfunc-tion diseases.

Objective To analyze the research hotspots and trends of invasive fungal infections(IFIs)in China over the past 24 years,and provide references and suggestions for future research.Methods Literatures on IFIs re-search in China from 2000 to 2024 were retrieved from China National Knowledge Infrastructure(CNKI)and Web of Science(WOS).CiteSpace software was employed to conduct collaboration network analysis on authors' institu-tions,and co-occurrence,clustering,and burst analyses were conducted on key words.Results A total of 2 479 li-teratures retrieved from CNKI and 1 149 from WOS were included in the analysis,involving 295 research institu-tions,with no core research team identified having a intermediary centrality＞0.1.Institutions with intermediary centrality＞0.1 included Chinese Academy of Sciences,Peking University,Fudan University,Sun Yat-sen Univer-sity and Zhejiang University.Key words with high centrality included"diagnosis""risk factor""voriconazole"and"Candida albicans".Clustering analysis grouped the co-occurrence network of key words into 6 clusters,mainly covering fungal diagnosis,treatment,and susceptible factors.Since 2020,focuses on the safety of antifungal treat-ment agents and primary prevention have emerged,with hot topics including pharmacokinetics,children,clinical features,and risk factors.Conclusion Currently,research teams are dispersed with insufficient interdisciplinary collaboration.Research topics are relatively simple.It is necessary to strengthen research on fungal resistance and healthcare-associated infection prevention and control.Risk factors and prevention measures for IFIs may be the fo-cus of future research.

To formulate an expert consensus on the principles of preoperative hair removal and provide scientific guidance for standardized removal of hair before surgical procedures so as to reduce the incidence of surgical site infections.METHODS Led by the Hospital Management Institute of National Health Commission of the People's Republic of China,this consensus was reached with the joint efforts from the expects of relevant fields such as surgeries,interventional therapies,nursing,and infection prevention and control.The consensus facilitates the classification and evaluation of literatures by following the evidence grade formulated by Oxford Evidence-based Medicine Center and focuses on the association of preoperative hair removal with surgical site infection,it reaches the evidence grade of expert consensus and recommendation intensity by integrating with discussions on meetings and clinical experience of the expects from relevant fields.RESULTS A total of 6 items of consensus were reached by summarizing the latest evidence on the aspects including the indications for preoperative hair removal,tools,range,timing and places.CONCLUSION The consensus,to some extent,make supplements to and complete the exiting regulations and standards.It provides guidance for the medical institutions to carry out the preoperative hair removal.

Gastric ulcer (GU) is a common digestive system disease. Acupuncture, as one of the external treatments of traditional Chinese medicine (TCM), has the characteristics of multi-target, multi-pathway and multi-level action in the treatment of GU. The relationship between meridian points and Zang-fu is an important part of the theory of TCM, which is crucial for the diagnosis and treatment of diseases. There is an external and internal link between acupoints and Zang-fu. The pathological reaction of Zang-fu can manifest as acupoint sensitization, while stimulation of acupoints can play a therapeutic role in the internal Zang-fu. Therefore, the acupoint has the functions of reflecting and treating diseases. This review explores the tender points on the body surface of patients with GU and the rules of acupoint selection. In addition, Zusanli (ST36), as one of the most used acupoints of the stomach meridian, was selected to show the mechanisms behind acupoint stimulation in the treatment of GU in greater detail, specifically in the well-studied model of the stress GU (SGU). Hence, the mechanisms of acupuncture at ST36 and points commonly used in combination with ST36 to treat SGU are discussed further. Treatment effects can be achieved through anti-inflammatory and antioxidant activities, gastric mucosal injury repair, and interaction with the brain-gut axis. In summary, this review provides evidence for a comprehensive understanding of the phenomena and mechanism of acupoint functions for GU. Please cite this article as: He M, Lim XY, Li J, Li L, Zhang T. Mechanisms of acupuncture at Zusanli (ST36) and its combinational acupoints for stress gastric ulcer based on the correlation between Zang-fu and acupoints. J Integr Med. 2025; 23(1): 1-11.
Acupuncture Points ; Humans ; Stomach Ulcer/therapy* ; Acupuncture Therapy/methods* ; Animals ; Meridians

Dysfunction of drug transporters significantly affects therapeutic outcomes and drug efficacy in patients with liver injury. Clinical and experimental evidence demonstrates that liver injury involves complex inter-organ interactions among the brain, eye, liver, intestine, and kidney. Recent advances in basic and clinical research have illuminated the physiologic and molecular mechanisms underlying transporter alterations in liver injury, particularly those associated with bilirubin, reactive oxygen species, ammonia, bile acid, and inflammatory factors. Notably, the influence of these transporter modifications on drug pharmacokinetics in liver injury patients remains inadequately understood. Additional research is necessary to fully comprehend these effects and their therapeutic implications. The documented alterations of transporters in distant organs across various liver diseases indicate that dosage modifications may be required when administering transporter-substrate drugs, including both traditional Chinese and Western medicines, to patients with liver dysfunction. This strategy helps maintain drug concentrations within therapeutic ranges while reducing adverse reactions. Furthermore, when utilizing transporter inducers or inhibitors clinically, consideration of their long-term effects on transporters and subsequent therapeutic impact is essential. Careful attention must be paid to avoid compromising the elimination of toxic metabolites and proteins when inhibiting these transporters. Similarly, prudent use of inducers or inducer-type therapeutic drugs is necessary to prevent enhanced drug resistance. This review examines recent clinical and experimental findings regarding the inter-organ interaction of drug transporters in liver injury conditions and their clinical relevance.
Humans ; Liver/drug effects* ; Animals ; Chemical and Drug Induced Liver Injury/metabolism* ; Membrane Transport Proteins/metabolism* ; Biological Transport ; Liver Diseases/drug therapy* ; Pharmaceutical Preparations/metabolism*

OBJECTIVES: To explore the predictive factors for hemodynamically significant patent ductus arteriosus (hsPDA) in preterm infants and to construct a nomogram prediction model for hsPDA occurrence in this population. METHODS: A retrospective analysis was conducted on the clinical data of preterm infants with gestational age <32 weeks diagnosed with patent ductus arteriosus (PDA) who were delivered at Nanjing Women and Children's Healthcare Hospital from January 2020 to December 2022. The subjects were divided into an hsPDA group (52 cases) and a non-hsPDA group (176 cases) based on the presence of hsPDA. Univariate analysis and multivariate logistic regression analysis were performed to screen predictive variables regarding the general information of the infants at birth, maternal pregnancy and delivery conditions, and relevant indicators during hospitalization. A nomogram prediction model for hsPDA occurrence was constructed using R software in preterm infants. Internal validation was performed using the Bootstrap method. Finally, the predictive model was evaluated for calibration, discrimination ability, and clinical utility. RESULTS: Multivariate regression analysis showed that the ratio of the left atrium to aorta diameter (LA/AO), mode of delivery (vaginal), and duration of mechanical ventilation were independent predictive factors for hsPDA in preterm infants (P<0.05). Based on the results of univariate analysis and multivariate logistic regression analysis, variables used to construct the nomogram prediction model for hsPDA risk included: LA/AO ratio, mode of delivery (vaginal), duration of mechanical ventilation, 5-minute Apgar score, and the presence of neonatal respiratory distress syndrome requiring surfactant therapy. The area under the receiver operating characteristic curve for this model was 0.876 (95%CI: 0.824-0.927), and the calibrated curve was close to the ideal reference line, indicating good calibration. The Hosmer-Lemeshow test demonstrated that the model fit well, and the clinical decision curve was above the extreme curves. CONCLUSIONS The nomogram prediction model, constructed using five variables (LA/AO ratio, vaginal delivery, duration of mechanical ventilation, 5-minute Apgar score, and the presence of neonatal respiratory distress syndrome requiring surfactant therapy), has reference significance for predicting the occurrence of hsPDA in preterm infants and provides valuable guidance for the early clinical identification of hsPDA.
Humans ; Ductus Arteriosus, Patent/etiology* ; Nomograms ; Female ; Infant, Newborn ; Infant, Premature ; Retrospective Studies ; Male ; Hemodynamics ; Logistic Models ; Pregnancy

BACKGROUND: The association of systemic inflammatory response index (SIRI) with prognosis of coronary artery disease (CAD) patients has never been investigated in a large sample with long-term follow-up. This study aimed to explore the association of SIRI with all-cause and cause-specific mortality in a nationally representative sample of CAD patients from United States. METHODS: A total of 3386 participants with CAD from the National Health and Nutrition Examination Survey (NHANES) 1999-2018 were included in this study. Cox proportional hazards model, restricted cubic spline (RCS), and receiver operating characteristic curve (ROC) were performed to investigate the association of SIRI with all-cause and cause-specific mortality. Piece-wise linear regression and sensitivity analyses were also performed. RESULTS: During a median follow-up of 7.7 years, 1454 all-cause mortality occurred. After adjusting for confounding factors, higher lnSIRI was significantly associated with higher risk of all-cause (HR = 1.16, 95% CI: 1.09-1.23) and CVD mortality (HR = 1.17, 95% CI: 1.05-1.30) but not cancer mortality (HR = 1.17, 95% CI: 0.99-1.38). The associations of SIRI with all-cause and CVD mortality were detected as J-shaped with threshold values of 1.05935 and 1.122946 for SIRI, respectively. ROC curves showed that lnSIRI had robust predictive effect both in short and long terms. CONCLUSIONS SIRI was independently associated with all-cause and CVD mortality, and the dose-response relationship was J-shaped. SIRI might serve as a valid predictor for all-cause and CVD mortality both in the short and long terms.