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.

Inflammatory bowel disease (IBD) is a chronic and recurrent intestinal inflammatory disease, which not only affects the digestive tract, but also involves extraintestinal organs and tissues such as joints and eyes, and ultimately endangers human health and affects the quality of life of patients. With the development of information technology, there is an increasing application of digital therapeutics in the management of IBD. This article aims to comprehensively analyze the characteristics, use, and challenges of digital therapeutics in the management of IBD, and explore its potential to improve treatment adherence, disease surveillance, and improve patients' quality of life.

Aim To study the correlation between es-trogen metabolism function of intestinal flora and liver fibrosis disease phenotype and differential intestinal bacteria by fecal microbiota transplantation(FMT).Methods C57BL/6J male mice were divided into normal group(Control-M),liver fibrosis Model group(Model),FMT-1 group(normal mice fecal microbiota transplantation from liver fibrosis mice),and FMT-2 group(liver fibrosis mice fecal microbiota transplanta-tion from female mice).The model group was induced by high fat and high glucose combined with low dose of CCl4 for 16 weeks.In the FMT group,the bacteria were destroyed by mixed antibacterial solution and then the corresponding fecal microbiota solution was given.The model group was established in the FMT-2 group and the model group at the same time.Liver function(ALT,AST)was detected by biochemical methods;liver inflammation(IL-1α,IL-6)was detected by ELISA;liver pathology was detected by HE and Mas-son methods;the expressions of α-SMA,collagen Ⅰ,estrogen receptor ERα,ERβ and GPER were detected by Western blot;estrogen metabolic enzymes β-glucu-ronidase and β-glucosidase in intestinal flora were de-tected by double antibody sandwich assay;gut microbi-ota was detected by 16S rDNA method;the correlation between estrogen metabolic enzymes,estrogen receptors and disease phenotypes and disease-related differential bacteria was analyzed by Pearson correlation analysis.Results Liver function,inflammation and fibrosis in-dices were significantly higher in the model group than those in the control-M group and significantly lower in the FMT-2 group than in the model group;estrogen metabolic enzymes of the intestinal flora significantly increased in the model group compared to the control-M group and significantly decreased in the FMT-2 group compared to the model group;the model group showed a significant increase in ERβ and GPER and a significant decrease in ERα compared to the control-M group,while the FMT-2 group showed a significant de-crease in ERβ and GPER and a significant increase in ERα compared to the model group;the FMT-2 group increased the enterobacterial abundance and diversity reduced by modelling;estrogen metabolic enzymes,es-trogen receptor ERβ and GPER were all positively cor-related with the disease phenotype,while the opposite was true for ERα;estrogen metabolic enzymes were positively correlated with Allobaculum,Ruminococcus and Alistipes,and negatively correlated with Akkerman-sia,Lactobacillus and Prevotella.Conclusions Fecal microbiota transplantation in female mice can alleviate liver fibrosis in male mice,which is related to the im-provement of estrogen metabolism of intestinal flora.

Objective:To analyze the genetic characteristics of coxsackievirus A16 (CVA16) related to hand, foot and mouth disease (HFMD) in Jiaxing from 2021 to 2023, and understand the biological and molecular evolutionary characteristics of CVA16 in this city.Methods:Real-time fluorescent quantitative PCR was used to detect enterovirus and its types in collected HFMD case samples. At the same time, virus isolation and cultivation were performed on positive samples using RD cells. Then high-throughput sequencing of the whole genome was performed on 23 strains of CVA16 identified from the isolated samples. Finally we obtained its whole genome sequence. DNAStar, MEGA 6.0, Simplot 3.5.1 and other bioinformatics software were used to compare and analyze the sequences, construct the phylogenetic tree of VP1 region, and realize the genotype composition. And these software were also used to analyze the homology of the whole genome nucleotide sequence and the encoded amino acids, while know well the amino acid mutation sites and gene recombination in the main regions.Results:The results showed that among the 1 836 HFMD specimens tested from 2021 to 2023, 1 432 (78.00%, 1 432/1 836) were positive for enterovirus general genes, of which 263 were positive for CVA16, accounting for 18.37% (263/1 432) of the confirmed positive cases. Twenty-three CVA16 strains were sequenced and all of them were B1 subtype, of which 6 strains belong to B1b and 17 strains belong to B1a, with B1a being dominant. B1a strains in Jiaxing showed genetic relatedness to strains isolated in Beijing, Yunnan, Guangzhou, Jiangsu and other places in 2018 to 2023, as well as strains from Vietnam, Thailand, and Australia from 2015 to 2017. B1b strains exhibited consistent amino acid mutations of L23M in the VP1 region and V217I in the VP2 region, while B1a strains exhibited amino acid mutations of S14N/D, T164K, and V251I in the VP1 region and R41H in the VP3 region. Compared with the prototype strain, the 23 strains of CVA16 in Jiaxing accumulated the largest number of amino acid mutations in the coding region, with 28 and 50 mutations in the VP1 and 3D regions, respectively. The recombination patterns of B1a and B1b strains were slightly different, with B1a type showing recombination with CVA8 in the 5′-UTR region instead of CVA4, B1a was similar to enterovirus A71 in most of P2 and P3 regions, and recombined with CVA5 in the 3D region of P3.Conclusions:The prevalent strain of CVA16 in Jiaxing may share a common trend of co-circulation and evolution with those in other provinces. The recombination mainly occurs in the 5′-UTR region and non-structural protein coding regions of P2 and P3. Continuous molecular surveillance of CVA16 is in need, and whole-genome sequencing can help understand the genetic variation, evolution, and recombination of strains.This information will provide a more robust basis for the monitoring and early warning, vaccine development, and prevention and control efforts against HFMD.

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.

To guide clinical blood transfusion practices for pediatric patients, the National Health Commission has issued the health standard "Guideline for pediatric transfusion" (WS/T 795-2022). Blood transfusion is one of the most commonly used supportive treatments for children with hematological diseases. This guideline provides guidance and recommendations for blood transfusions in children with aplastic anemia, thalassemia, autoimmune hemolytic anemia, glucose-6-phosphate dehydrogenase deficiency, acute leukemia, myelodysplastic syndromes, immune thrombocytopenic purpura, and thrombotic thrombocytopenic purpura. This article presents the evidence and interpretation of the blood transfusion provisions for children with hematological diseases in the "Guideline for pediatric transfusion", aiming to assist in the understanding and implementing the blood transfusion section of this guideline.
Humans ; Child ; Hematologic Diseases/therapy* ; Blood Transfusion/standards* ; Practice Guidelines as Topic

To guide clinical blood transfusion practices for pediatric patients, the National Health Commission has issued the health standard "Guideline for pediatric transfusion" (WS/T 795-2022). Blood transfusion for children undergoing hematopoietic stem cell transplantation is highly complex and challenging. This guideline provides recommendations on transfusion thresholds and the selection of blood components for these children. This article presents the evidence and interpretation of the transfusion provisions for children undergoing hematopoietic stem cell transplantation, with the aim of enhancing the understanding and implementation of the "Guideline for pediatric transfusion".
Humans ; Hematopoietic Stem Cell Transplantation ; Child ; Blood Transfusion/standards* ; Practice Guidelines as Topic

OBJECTIVES: To construct a Z-score regression model for coronary artery diameter based on echocardiographic data from children in Sichuan Province and to establish a Z-score calculation formula. METHODS: A total of 744 healthy children who underwent physical examinations at Sichuan Provincial People's Hospital from January 2020 to December 2022 were selected as the modeling group, while 251 children diagnosed with Kawasaki disease at the same hospital from January 2018 to December 2022 were selected as the validation group. Pearson correlation analysis was conducted to analyze the relationships between coronary artery diameter values and age, height, weight, and body surface area. A regression model was constructed using function transformation to identify the optimal regression model and establish the Z-score calculation formula, which was then validated. RESULTS: The Pearson correlation analysis showed that the correlation coefficients for the diameters of the left main coronary artery, left anterior descending artery, left circumflex artery, and right coronary artery with body surface area were 0.815, 0.793, 0.704, and 0.802, respectively (P<0.05). Among the constructed regression models, the power function regression model demonstrated the best performance and was therefore chosen as the optimal model for establishing the Z-score calculation formula. Based on this Z-score calculation formula, the detection rate of coronary artery lesions was found to be 21.5% (54/251), which was higher than the detection rate based on absolute values of coronary artery diameter. Notably, in the left anterior descending and left circumflex arteries, the detection rate of coronary artery lesions using this Z-score calculation formula was higher than that of previous classic Z-score calculation formulas. CONCLUSIONS The Z-score calculation formula established based on the power function regression model has a higher detection rate for coronary artery lesions, providing a strong reference for clinicians, particularly in assessing coronary artery lesions in children with Kawasaki disease.
Humans ; Male ; Female ; Child, Preschool ; Child ; Coronary Artery Disease/diagnostic imaging* ; Infant ; Mucocutaneous Lymph Node Syndrome ; Regression Analysis ; Coronary Vessels/diagnostic imaging* ; Echocardiography ; Adolescent

The patient, assigned female at birth and aged 1 year and 7 months, presented with clinical manifestations of 46,XY disorders of sex development. The external genitalia exhibited a severely undermasculinized phenotype. Laboratory tests and gonadal biopsy indicated poor Leydig cell function and good Sertoli cell function. Genetic testing revealed compound heterozygous mutations of c.867-2A>C and c.547G>A (p.G183R) in the LHCGR gene. The patient was ultimately diagnosed with type II Leydig cell hypoplasia. Type II Leydig cell hypoplasia presents a broad spectrum of clinical phenotypes, characterized by a lack of parallel function between Leydig cells and Sertoli cells, and significant individual variability in spermatogenesis and gender assignment. This condition should be considered when there is poor Leydig cell function but good development of Wolffian duct derivatives.
Female ; Humans ; Infant ; Disorder of Sex Development, 46,XY/genetics* ; Leydig Cells/pathology* ; Mutation ; Receptors, LH/genetics* ; Testis/abnormalities*