Tumor microenvironment(TME)is the foundation for tumor survival,which is composed of various types of cells,tumor blood vessels,secretory factors,and extracellular matrix(ECM)within the tumor.The unique regulatory mechanism triggered by the vigorous metabolic demand of tumor plays an important role in its tumorigenesis,metastasis,invasion,and treatment resistance.A deeper understanding of the metabolic transformation and tumor-immune cell interactions in the TME will enable the development of therapeutic technologies that precisely target TME metabolism,facilitate the development of combination treatment strategies,and improve the clinical response rate of existing immunotherapies.This paper reviews the composition,metabolism and regulatory mechanisms of TME,summarizes the research progress of immunotherapy strategies targeting the physiological characteristics of TME,and discusses the prospects for clinical application of precision immunotherapy strategies targeting TME,which are expected to enhance immunotherapy drugs response and infiltration degree.

Tumor microenvironment(TME)is the foundation for tumor survival,which is composed of various types of cells,tumor blood vessels,secretory factors,and extracellular matrix(ECM)within the tumor.The unique regulatory mechanism triggered by the vigorous metabolic demand of tumor plays an important role in its tumorigenesis,metastasis,invasion,and treatment resistance.A deeper understanding of the metabolic transformation and tumor-immune cell interactions in the TME will enable the development of therapeutic technologies that precisely target TME metabolism,facilitate the development of combination treatment strategies,and improve the clinical response rate of existing immunotherapies.This paper reviews the composition,metabolism and regulatory mechanisms of TME,summarizes the research progress of immunotherapy strategies targeting the physiological characteristics of TME,and discusses the prospects for clinical application of precision immunotherapy strategies targeting TME,which are expected to enhance immunotherapy drugs response and infiltration degree.

Objective To evaluate the predictive value of dose-surface histogram(DSH)for radiation proctitis(RP)in prostate cancer(PCa)patients undergoing radiotherapy.Methods This prospective randomized controlled clinical trial included 380 PCa patients who underwent image-guided radiotherapy in the First Affiliated Hospital of Hebei Northern University from January 2018 to January 2023.Patients were randomly divided into observation group(n=200)and control group(n=180).The rectal dose distribution of patients in the two groups was evaluated by using DSH and dose-volume histogram(DVH),respectively.The receiver operating characteristic(ROC)curve was utilized to evaluate the predictive value of DSH for acute RP,with DVH serving as a reference.Results The difference was not statistically significant in clinical information such as age,KPS score,and body mass index(BMI)between the observation and control groups(P＞0.05),as well as in acute RP incidence(P＞0.05).There were significant differences in S40 and V40,S50 and V50,S60 and V60,S70 and V70,and S78 and V78 between the two groups(P＜0.05).S40,S50,V40,and V50 showed low efficacy(P＜0.001)in predicting acute RP at each level,with AUC≤0.700.S60 and V60 showed moderate efficacy(P＜0.001)in predicting acute RP at each level,with AUC 0.700-0.900.S70,S78,V70 and V78 showed high efficacy(P＜0.001)in predicting acute RP at each level,with AUC＞0.900.Conclusions The predictive value of DSH for rectal toxicity in patients with PCa is basically consistent with that of DVH.It is expected to become a novel and valuable tool for evaluating radiotherapy plans in the future.

The Golgi apparatus(GA),an essential membrane organelle in eukaryotes positioned between the endoplasmic reticulum and the plasma membrane,is responsible for transporting and modifying proteins and lipids generated by the endoplasmic reticulum.The homeostasis of the endoplasmic reticulum and GA plays a crucial role in regulating cellular life.When GA is unable to bear the load of protein or lipid processing and transportation,it enters a state of stress.Cells sense this and activate Golgi-related quality control mechanisms.By regulating the structure and function of GA,it provides important protection for the cell or induces programmed cell death,known as the GA stress response.Understanding the mechanisms and outcomes of cellular GA stress is of great significance for exploring Golgi dynamics and its impact on human diseases.This review summarizes the structure and function of GA under physiological conditions,the phenomenon of GA stress under pathological conditions,and the role of GA in infectious diseases,aiming to provide a basis for the clinical study of new strategies for the prevention and treatment of infectious diseases.

Good endometrial receptivity is an essential factor for embryo implantation,and gene expression in endometrial tissue during the window of implantation(WOI)is closely related to receptivity.Transcriptome sequencing technology enables the identification of gene expression profiles of endometrium during different menstrual phases,as well as microRNAs and long-chain non-coding RNA sequences involved in regulating gene expression.Combining this technology with bioinformatics analysis provides a better understanding of specific gene expression during the receptive period and offers technical support for studying its regulatory mechanism.Moreover,gene expression profiles of the endometrium during different menstrual phases hold significant clinical application value for accurately assessing endometrium receptivity in infertility patients and those with repeated implantation failure,thereby guiding individualized embryo transfer strategies.This review summarizes the progress of transcriptome sequencing in evaluating human endometrial receptivity and discusses future research directions.This review aims to understand the complex molecular mechanisms of endometrial receptivity formation and regulation from the transcriptional level,in order to improve the implantation rate of embryos in assisted reproductive technology and reduce the abortion rate.

Objective To establish a stable,reliable,and clinically relevant porcine model of endotoxin-induced acute respiratory distress syndrome(ARDS).Methods Ten 8-month-old male Bama minipigs were deeply sedated,followed by invasive mechanical ventilation and electrocardiographic monitoring.Lipopolysaccharide(LPS)was intravenously pumped at 600 μg/(kg·h)for 3 hours,then maintained at 15 μg/(kg·h)thereafter.Dynamic monitoring was performed at five time points after LPS injection(LPS 0,1,3,5,and 8 h),including arterial blood gas analysis and chest computed tomography(CT)scans.Pathological examination of lung tissues obtained via bronchoscopic biopsy(HE staining and transmission electron microscopy)was conducted.These indicators were comprehensively used to evaluate the success of the animal model.Results At 5 hours after LPS administration,8 minipigs developed symptoms such as skin cyanosis,elevated body temperature,and respiratory distress.The oxygenation index decreased to<300 mmHg.Chest CT scans showed diffuse pulmonary infiltrates.Histopathology revealed alveolar edema and hyaline membrane formation.Transmission electron microscopy demonstrated disruption of pulmonary blood-air barrier,depletion of lamellar bodies in type Ⅱ pneumocytes,inflammatory cell infiltration,and exudation of plasma proteins and fibrin.Compared with LPS 0 h,at LPS 8 h,the oxygenation index and arterial blood pH were significantly decreased(P<0.001),while blood lactic acid and serum potassium were significantly increased(P<0.05);serum calcium and base excess were significantly decreased(P<0.05),and the lung injury score based on HE-stained lung sections was significantly increased(P<0.01).Conclusion The porcine ARDS model established by continuous LPS injection can dynamically simulate the pathophysiological characteristics and typical pathological manifestations of clinical septic ARDS,making it an effective tool to study the pathogenesis,prevention,and treatment strategies of septic ARDS.

Copy number variation encompassing SNP plays an important role in IVD and precision medi-cine.As the most commonly used method,FISH could not overcome the probe cross-reactivity which is common when to detect SNP.Here we developed a quantitative and qualitative method on copy number variation encompassing SNP.In this study,the rs76711854 was used as an example to establish a quanti-tative method by advantage of probe cross-reactivity.The fragment encompassing rs76711854 and its downstream to 9 514 bp were amplified by PCR.The allelic genotypes were verified by Sanger sequen-cing.Different probes with or without cross-reactivity to be used via quantitative real-time PCR and digit-al PCR.The different clusters(2D)and fluorescence intensity layers(1D)exist by adding probe with cross-reactivity.The A/G ratio measured by digital PCR is 2︰1,which is verified by probe targeting to the SNP.The copy-number variant exists in the 9kb-long fragment upstream to the SNP of prostate cancer cell line but not in human endometrial adenocarcinoma cell line Ishikawa.The data suggest that there is a multi-copy variation at this locus in DU145 cells.The method applied here is based on one single cross-reactivity probe via digital PCR.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Metabolic associated(non-alcoholic)steatohepatitis(MASH/NASH)is a progressive form of metabolic associated(non-alcoholic)fatty liver disease(MAFLD/NAFLD),characterized by hepatic fat accumulation,inflammation,with or without fibrosis.It can further progress to liver cirrhosis or hepatocellular carcinoma,and it is a common and frequently-occurring liver disease.In recent years,due to its unique advantages in analyzing lipid metabolism disorders,lipidomics has become an important tool in the research of MASH/NASH.This article reviews the role of lipidomics in elucidating the pathological mechanisms of MASH/NASH,discovering biomarkers,and exploring therapeutic targets,aiming to provide a theoretical basis for basic research and new drug development for MASH/NASH.

Metabolic associated(non-alcoholic)steatohepatitis(MASH/NASH)is a progressive form of metabolic associated(non-alcoholic)fatty liver disease(MAFLD/NAFLD),characterized by hepatic fat accumulation,inflammation,with or without fibrosis.It can further progress to liver cirrhosis or hepatocellular carcinoma,and it is a common and frequently-occurring liver disease.In recent years,due to its unique advantages in analyzing lipid metabolism disorders,lipidomics has become an important tool in the research of MASH/NASH.This article reviews the role of lipidomics in elucidating the pathological mechanisms of MASH/NASH,discovering biomarkers,and exploring therapeutic targets,aiming to provide a theoretical basis for basic research and new drug development for MASH/NASH.