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.

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 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 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.

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.

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 learn about the epidemic characteristics and temporal-spatial trends of human anthrax in Shaanxi Province, and to provide a theoretical basis for prevention and control of anthrax.Methods:The epidemic data of human anthrax in Shaanxi Province from 1955 to 2024 were collected for descriptive epidemiological analysis. Joinpoint regression model was used to analyze the trend of anthrax incidence rate. The trend at all times and different intervals were estimated by average annual percent change (AAPC) and annual percent change (APC), respectively. Based on the number of human anthrax cases in each county (district) of Shaanxi Province from 1980 to 2024, datasets were constructed in segments every five years for global and local spatial autocorrelation analysis.Results:From 1955 to 2024, a total of 3 900 cases of human anthrax were reported in Shaanxi Province, with 124 deaths. The average annual incidence rate was 0.18/100 000 and the fatality rate was 3.18%. The incidence rate of human anthrax generally showed a downward trend (AAPC = - 3.21, t = - 1.99, P = 0.044), with the fastest decline rate from 1977 to 1993 (APC = - 15.24, t = - 4.08, P < 0.001). A temporal and regional distribution analysis was conducted on 484 human anthrax cases in Shaanxi Province from 1980 to 2024. The peak period of incidence was from July to September, accounting for 52.27% (253/484). The cities with a relatively high number of reported cases were Weinan City (201 cases), Xianyang City (161 cases), and Xi'an City (77 cases), accounting for a total of 90.70% (439/484). A population distribution analysis was conducted on 93 human anthrax cases in Shaanxi Province from 2005 to 2024, with 73 males (78.49%) and 20 females (21.51%), resulting in a male to female ratio of 3.65 ∶ 1.00. The age range was 13 to 79 years old, with a median of 44 years old. The age group of 35 to 59 years old had a higher case of the disease, accounting for 65.59% (61/93). Farmers were the main occupation, accounting for 87.10% (81/93). The shortest time interval between onset and diagnosis of 93 human anthrax cases was 0 days, the longest was 47 days, and the median was 5 days. The results of global spatial autocorrelation analysis showed that there was spatial positive correlation in human anthrax cases from 1980 to 1984, 1985 to 1989, 2000 to 2004, and 2020 to 2024 (global Moran's I > 0, Z > 1.96, P < 0.05). The results of local spatial autocorrelation analysis showed that the high-high aggregation area of human anthrax cases was concentrated in the Guanzhong region. Conclusions:From 1955 to 2024, the incidence rate of human anthrax in Shaanxi Province generally shows a downward trend. The peak period of incidence is from July to September, and the affected populations are mainly middle-aged male farmers. Human anthrax cases from 1980 to 1984, 1985 to 1989, 2000 to 2004 and 2020 to 2024 show spatial clustering, with high-high clustering areas concentrated in the Guanzhong region.

Objective To investigate the association between remnant cholesterol(RC)and clinicopatho-logical parameters in patients with IgA nephropathy(IgAN),and to assess the clinical significance of RC in the progression and management of IgAN.Methods A total of 366 patients with a biopsy-proven diagnosis of IgAN were consecutively enrolled in this retrospective study.Clinical and pathological data were systematically collected,and RC was calculated.Participants were stratified into two groups according to the median RC value.Baseline characteristics were compared between these groups.The association between RC and the presence of tubular atrophy/interstitial fibrosis(T1/2 lesions)in IgAN patients was evaluated using binary logistic regression,restricted cubic spline(RCS)analysis,receiver operating characteristic(ROC)curve analysis,and subgroup analyses.Results In this study,the high-RC group exhibited significantly higher levels of body weight,body mass index(BMI),systolic blood pressure(SBP),diastolic blood pressure(DBP),triglycerides(TG),total cholesterol(TC),non-high-density lipoprotein cholesterol(non-HDL-C),uric acid(UA),complement 3(C3),and 24-hour urinary protein,as well as lower levels of albumin(ALB),estimated glomerular filtration rate(eGFR),and high-density lipoprotein cholesterol(HDL-C),compared to the low-RC group.Patients with T1/2 lesions showed elevated levels of SBP,DBP,TC,non-HDL-C,UA,24-hour urinary protein,and RC,along with reduced levels of hemoglobin(Hb),ALB,and eGFR,relative to those with T0 lesions.Multivariate logistic regression analysis indicated that increased RC and decreased eGFR were independent risk factors for the presence of T1/2 lesions in patients with IgAN(P<0.05).RCS analysis revealed a linear association between RC and the likelihood of T1/2 lesions(non-linearity P=0.343).The area under the receiver operating characteristic curve(AUC)for a predictive model incorporating RC,Hb,UA,and eGFR was 0.833,indicating good discriminative ability.Subgroup analyses consistently demonstrated a significant associa-tion between RC and the risk of T1/2 lesions,with no statistically significant interactions observed across subgroups(all P>0.05).Conclusion RC can reflect the severity of both clinical and pathological manifestations in patients with IgAN,making RC monitoring a potentially valuable tool for assessing disease progression in clinical practice.