Objective To investigate the 30-day mortality risk factors in elderly patients with heart failure with reduced ejection fraction (HFrEF) after isolated coronary artery bypass grafting (CABG) and to construct a nomogram for predicting mortality risk. Methods A retrospective analysis of elderly (≥70 years) HFrEF patients undergoing isolated CABG at Tianjin Chest Hospital from 2010 to 2024 was performed. Simple random sampling in R software was used to divide the dataset into training and validation sets in a 7 : 3 ratio. The training set was further divided into survivors and non-survivors. Univariate logistic regression was performed to identify differences between groups, followed by multivariate logistic regression to select independent risk factors for death and to establish a death-risk nomogram, which underwent internal validation. The predictive value of the nomogram was assessed by plotting receiver operating characteristic (ROC) curves, calibration curves, and decision-curve analyses for both the training and validation sets. Results A total of 656 patients were included. The training set consisted of 458 patients (survivors 418, deaths 40); the validation set consisted of 198 patients (survivors 180, deaths 18). In the training set, univariate analysis showed significant differences between survivors and deaths for creatinine (Cr) level, brain natriuretic peptide (BNP), maximum Cr, intra-aortic balloon pump (IABP) use, assisted ventilation, reintubation, hyperlactatemia, low cardiac output syndrome, and renal failure (P<0.05). After multivariable logistic regression, five independent risk factors were identified: IABP use (OR=3.391, 95%CI 1.065-11.044, P=0.038), reintubation (OR=15.991, 95%CI 4.269-67.394, P<0.001), hyperlactatemia (OR=8.171, 95%CI 2.057-46.089, P=0.007), Cr (OR=4.330, 95%CI 0.997-6.022, P=0.024), and BNP (OR=1.603, 95%CI 1.000-2.000, P=0.010). Accordingly, a nomogram predicting mortality risk was constructed. The ROC and calibration analyses indicated good predictive value: area under the curve (AUC) in the training set was 0.898 (95%CI 0.831-0.966) and in the validation set was 0.912 (95%CI 0.805-1.000). Calibration and decision-curve analyses showed good agreement and clinical utility. Conclusion The nomogram incorporating IABP use, reintubation, hyperlactatemia, creatinine, and BNP provides good predictive value for 30-day mortality after CABG in elderly patients with HFrEF and demonstrates potential clinical utility.

Objective To develop a Nomogram clinical prediction model for the pathological occurrence of extraprostatic extension(EPE)after radical prostatectomy in prostate cancer patients,using simplified site-specific magnetic resonance imaging(MRI)indicators and other clinical parameters.Methods A total of 181 prostate cancer patients[mean age(69.0±7.3)years]who underwent radical prostatectomy were included.These patients had received 3-Tesla multi-parametric magnetic resonance imaging(3-T mpMRI)within 6 months prior to surgery.Based on mpMRI measurements[capsular contact length(CCL)>15 mm,capsular bulging/irregularities,diameter of index lesion(dIL),and evident extraprostatic extension(eEPE)],the dIL?sEPE grading system was derived.The optimal cut-off value of dIL(denoted as dIL)was determined using the Youden J index,and categorized it into a binary variable.A Logistic regression model was established based on the dIL?sEPE grading and clinical scores.The predictive performance of clinical indicators,MRI indicators,and combined clinical and MRI indicators were compared.Finally,a clinical prediction model integrating both clinical and MRI data was developed.Results Pathological EPE was found in 46 out of 181 cases(25.4% ).A Nomogram prediction model for EPE was established with a combination of the dIL?sEPE grading and clinical indicators.Conclusion The combination of dIL?sEPE grading with clinical indicators accurately predicts extracapsular extension in prostate cancer.The Nomogram model that established,based on MRI imaging characteristics and clinical indicators has good performance and is easy to use.It is beneficial to stratifying management for prostate cancer patients,and it provides valuable guidance for patients suitable for nerve-sparing surgery.

Objective: To investigate the epidemiological and spatio-temporal characteristics of influenza in Jiaxing City, Zhejiang Province, so as to provide insights into perfecting the prevention and control strategies of influenza. Methods: Data of influenza in Jiaxing City from 2019 to 2023 were collected from the Chinese Disease Prevention and Control Information System. Population data of the same period were collected from the Zhejiang Health Information Network Reporting System. The epidemiological characteristics of influenza were analyzed using descriptive analysis. Vector map information was collected from the Open Street Map, and the spatio-temporal clustering characteristics of influenza were analyzed using spatial autocorrelation and spatio-temporal scanning. Results: A total of 181 501 cases of influenza were reported in Jiaxing City from 2019 to 2023, with an average annual reported incidence of 653.93/105. The majority of cases were aged 5 to <15 years (59 785 cases, 32.94%). The majority of the occupations were students (78 239 cases, 43.11%) and pre-school children (33 715 cases, 18.58%). The county (city, district) with the highest reported incidence was Haining City (1 451.70/105), and the town (street) with the highest reported incidence was Chang'an Town (1 932.78/105). Spatial autocorrelation analysis showed that the incidence of influenza in Jiaxing City from 2019 to 2023 had positive spatial correlations (all Moran's I>0, all P<0.05), with a high-high clustering in the southern region. Spatio-temporal scanning analysis showed that there was a spatio-temporal clustering of influenza in Jiaxing City from 2019 to 2023, with the southern region being the primary-type clustering area and the period between November and January of the following year being the clustering time. Conclusion There was a significant spatio-temporal clustering of influenza in Jiaxing City from 2019 to 2023, with winter being the peak season and the southern region being the primary area.

The Consolidated Standards of Reporting Trials (CONSORT) statement aims to enhance the quality of reporting for randomized controlled trial (RCT) by providing a minimum item checklist. It was first published in 1996, and updated in 2001 and 2010, respectively. The latest version was released in April 2025, continuously reflecting new evidence, methodological advancements, and user feedback. CONSORT 2025 includes 30 essential checklist items and a template for a participant flow diagram. The main changes to the checklist include the addition of 7 items, revision of 3 items, and deletion of 1 item, as well as the integration of multiple key extensions. This article provides a comprehensive interpretation of the statement, aiming to help clinical trial staff, journal editors, and reviewers fully understand the essence of CONSORT 2025, correctly apply it in writing RCT reports and evaluating RCT quality, and provide guidance for conducting high-level RCT research in China.

OBJECTIVE: To investigate the clinical and genetic characteristics of a family with Vissers-Bodmer Syndrome (VIBOS) and to review the relevant literature on VIBOS caused by CNOT1 gene variants. METHODS: A child diagnosed with VIBOS due to "growth retardation for over 6 years" at the Linyi People's Hospital on March 1, 2024 and her family members were selected as the study subjects. Clinical data of the family were collected. Peripheral venous blood samples were collected from the family members. Whole-exome sequencing (WES) was performed on the proband's peripheral blood, and Sanger sequencing was used for verification of the candidate variant in the family. Pathogenicity of the candidate variant was classified according to the "Standards and Guidelines for the Interpretation of Sequence Variants" established by the American College of Medical Genetics and Genomics American College of Medical Genetics (ACMG). Bioinformatics analysis, including pathogenicity prediction using Mutation Taster, three-dimensional protein structure modeling using SWISS-MODEL, and functional impact assessment using PyMOL, was performed. Relevant literature on VIBOS patients due to variants of the CNOT1 gene was retrieved from databases such as CNKI, Wanfang Data, and PubMed. The clinical phenotypes and genotypes of the patients were summarized. This study was approved by the Medical Ethics Committee of the Hospital (Ethics No.: YX200303). RESULTS: The proband, a 6-year-and-7-month-old female, presented with short stature, distinctive facial features (esotropia, hypertelorism, prominent nasolabial folds), webbed neck, clinodactyly, and intellectual disability. WES revealed that she has carried a heterozygous c.736delG (p.V246*) variant of the CNOT1 gene, which was unreported previously. The proband's father exhibited borderline intellectual function but no short stature or distinctive facial features. Sanger sequencing confirmed that he has carried the same heterozygous variant. According to the ACMG guidelines, this genetic variant was predicted as "likely pathogenic" (PVS1+PM2_Supporting). The c.736delG (p.V246*) variant was predicted to have a deleterious effect by Mutation Taster. Subsequent homology modeling using SWISS-MODEL, coupled with structural visualization and comparison using PyMOL, confirmed that it may cause premature termination of translation and produce a truncated protein. Literature search has retrieved five articles on VIBOS due to CNOT1 gene variants, which included 45 cases. Together with the proband and her father, the common clinical features among these 47 patients included distinctive facial features (83.0%, 39/47), speech delay (70.2%, 33/47), motor delay (70.2%, 33/47), intellectual disability (59.6%, 28/47), and short stature (48.9%, 23/47). In terms of the types of the variants, missense variants were the most common (47.4%, 18/38), followed by frameshift variants (21.0%, 8/38). The variant sites have mainly located in exons 7, 25, and 31. No significant genotype-phenotype correlation was noted. CONCLUSION The c.736delG (p.V246*) frameshift variant of the CNOT1 gene is likely the genetic etiology of VIBOS in this proband. The clinical manifestations of the proband were more severe than in her fathers, which suggested phenotypic variability associated with this variant. This study has provided new evidence for the understanding of the genetic basis of VIBOS.
Child ; Female ; Humans ; Male ; Exome Sequencing ; Intellectual Disability/genetics* ; Mutation ; Pedigree ; Transcription Factors/genetics* ; East Asian People/genetics*

Objective: To establish a progressive research strategy for “colonic components analysis - efficacy verification and mechanism exploration - gut microbiota”, screen pharmacodynamic substances, and investigate their mechanism via gut microbiota. Methods: The pharmacodynamics of Gegen Qinlian decoction (GQD) were assessed using a mouse model of dextran sulfate sodium-induced ulcerative colitis (UC). Ultra-performance liquid chromatography-quadrupole-orbitrap mass spectrometer was used to identify the prototype and metabolic components of GQD in the colon during UC. To analyze the structure and function of characteristic genera of GQD and its active components, 16S rRNA sequencing was performed. Results: We identified 67 prototypic and 14 metabolic components of GQD in the UC colon. The primary prototype components are flavonoids and alkaloids, including puerarin (PUE), baicalin (BAI), and berberine (BER). The metabolism was predominantly sulfonation. Efficacy verification showed that the main active components, puerarin, baicalin, and berberine, had good therapeutic effects on UC. The results of 16S rRNA gene sequencing showed that GQD improved UC by regulating the structure and function of the gut microbiota. The abundance of gut microbiota involved in the metabolism of the prototype components was influenced by the corresponding components. The function prediction results showed that PUE was the most comparable to GQD, with 24 consistent pathways. BAI and BER showed comparable gut microbiota regulation pathways. Characteristic pathways of BER include glucometabolic processes. Conclusion This study focused on the key issues in the gut microbiota pathway and developed a progressive research strategy to understand the transformation mechanisms of colonic components. This research systematically analyzed the active components and metabolic transformation of GQD in the colon during the pathological state of UC, as well as changes in the structure and function of the gut microbiota, clarified the mechanism of GQD and its active components in improving UC via the gut microbiota pathway.

Laboratory animals serve as the cornerstone in life science research, acting as surrogate models for human physiology, pathology, and disease treatment. They play an irreplaceable role in basic research, drug development, and translational medicine. Gut microbiota, a complex microbial community comprising bacteria, fungi, viruses, and unicellular organisms, colonizes the host's intestinal tract and is closely associated with the maintenance of normal physiological metabolism and overall health. Studies have shown that dysbiosis of the gut microbiota can lead to various diseases, including obesity, diabetes, hypertension, inflammatory bowel disease, and Alzheimer's disease. Therefore, conducting characteristic analyses of the gut microbial composition of laboratory animals can not only enhance the reliability of experimental outcomes but also facilitate their translational application. Sex differences represent a critical variable in biological research, significantly influencing the physiological functions, metabolic traits, and gut microbial composition of laboratory animals. However, a pronounced sex bias has been widely observed in many biological studies, thereby limiting the generalizability of results. This study focused on ten commonly used laboratory animals in life sciences, including mice, rats, guinea pigs, hamsters, rabbits, dogs, cats, non-human primates, miniature pigs, and chickens. Their gut microbial composition was summarized and related sex-specific differences of certain species were analyzed. Furthermore, by comparing the gut microbiota of laboratory animals with that of humans, this study offers novel perspectives for comparative medical research. In summary, this study not only deepens researchers' understanding of gut microbiota characteristics and sex-dependent variations across laboratory animal species but also provides practical guidance for selecting appropriate laboratory animals, constructing sex-specific disease models, and interpreting experimental results in scientific studies.

Laboratory animals serve as the cornerstone in life science research, acting as surrogate models for human physiology, pathology, and disease treatment. They play an irreplaceable role in basic research, drug development, and translational medicine. Gut microbiota, a complex microbial community comprising bacteria, fungi, viruses, and unicellular organisms, colonizes the host's intestinal tract and is closely associated with the maintenance of normal physiological metabolism and overall health. Studies have shown that dysbiosis of the gut microbiota can lead to various diseases, including obesity, diabetes, hypertension, inflammatory bowel disease, and Alzheimer's disease. Therefore, conducting characteristic analyses of the gut microbial composition of laboratory animals can not only enhance the reliability of experimental outcomes but also facilitate their translational application. Sex differences represent a critical variable in biological research, significantly influencing the physiological functions, metabolic traits, and gut microbial composition of laboratory animals. However, a pronounced sex bias has been widely observed in many biological studies, thereby limiting the generalizability of results. This study focused on ten commonly used laboratory animals in life sciences, including mice, rats, guinea pigs, hamsters, rabbits, dogs, cats, non-human primates, miniature pigs, and chickens. Their gut microbial composition was summarized and related sex-specific differences of certain species were analyzed. Furthermore, by comparing the gut microbiota of laboratory animals with that of humans, this study offers novel perspectives for comparative medical research. In summary, this study not only deepens researchers' understanding of gut microbiota characteristics and sex-dependent variations across laboratory animal species but also provides practical guidance for selecting appropriate laboratory animals, constructing sex-specific disease models, and interpreting experimental results in scientific studies.

Objective To explore the characteristics of tumor immune microenvironment of pancreatic ductal adenocarcinoma(PDAC)based on the differentially expressed genes associated with macrophages in early and late tumor tissues of PDAC patients,so as to provide new targets for early diagnosis and treatment of PDAC.Methods Three early-stage and 4 late-stage tumor samples were collected from PDAC patients.Tissue transcriptome data were analyzed by single-cell sequencing technology.With The Cancer Genome Atlas(TCGA)database,macrophage related genes differentially expressed in early and late PDAC related to prognosis were obtained.The prognostic risk scoring model was constructed using the least absolute shrinkage and selection operator(LASSO)-Cox method.The risk genes associated with PDAC prognosis were screened using the Gene Expression Profiling Interaction Analysis 2(GEPIA2)online survival analysis tool.Their immune infiltration was analyzed using the cell-type identification by estimating relative subsets of RNA transcripts(CIBERSORT)method,and their expression in different subpopulations of macrophages at different periods was resolved by t-distributed stochastic nearest-neighbour embedding(tSNE)clustering downscaling and the Monocle package.The protein-protein interactions and immunohistochemistry were further analyzed with the help of STRING database and The Human Protein Atlas(HPA)database.Results A total of 48 differentially expressed macrophage-related genes in early and late PDAC were found to be associated with prognosis.Eleven differentially expressed macrophage genes were screened as PDAC prognostic genes,and they were used to construct a prognostic risk scoring model for PDAC.Two prognostic genes with significant risk indicators were screened:2'-5'-oligoadenylate synthetase 2(OAS2)was mainly expressed in secreted phosphoprotein 1(SPP1)-positive macrophages,and assembly factor for spindle microtubules(ASPM)was mainly expressed in proliferation marker protein Ki-67(MKI67)-positive macrophages.There were significant differences in the expression of OAS2 in PDAC macrophages at different stages.Immune infiltration studies showed that OAS2 and ASPM were highly expressed in regulatory T cells and M2-type macrophages(both P＜0.05).Protein-protein interaction network showed the expression relationship between OAS2 and ASPM and other co-expressed proteins.Immunohistochemistry results showed that the expression of OAS2 was higher in tumor tissues than in normal tissues.Conclusion OAS2 and ASPM are both poor prognostic genes that are specifically expressed and exert negative immune effects in SPP1+macrophages and MKI67+macrophages,respectively,promoting the progression of PDAC and ultimately leading to a poor prognosis,and it is expected to provide new targets for the prevention and treatment of PDAC.

Coronary artery bypass grafting(CABG) remains a cornerstone treatment for complex coronary artery disease, with long-term graft patency being essential for clinical success. In 2024, the European Society of Cardiology(ESC) and the European Association for Cardio-Thoracic Surgery(EACTS) jointly released an expert consensus document on the intraoperative and postoperative management of CABG grafts. This article provides a comprehensive Chinese translation and interpretation of the consensus, covering key topics including graft harvesting techniques(such as skeletonized vs. pedicled, endoscopic vs. open harvesting), optimal preservation solutions, mechanisms and prevention of graft spasm, and secondary prevention strategies involving antithrombotic and lipid-lowering therapies. Additionally, based on the current situation of clinical practice in China and the characteristics of the Chinese population, the article discussed some key issues in depth, put forward adaptive suggestions, and pointed out the future research direction. The translated consensus and accompanying commentary aim to facilitate the dissemination and application of ESC-endorsed recommendations in Chinese clinical settings, promoting more standardized and evidence-based graft management in CABG surgery.