ObjectiveTo establish a regional risk assessment system for hospital-acquired infections in neurosurgery department of general hospital, and to evaluate its prevention and control effectiveness. MethodsFailure mode and effect analysis (FMEA) was used to identify the core risk factors for infections in neurosurgery department. The risk priority number (RPN) of each risk factor was calculated to determine the priority intervention targets. Targeted interventions were developed and continuously refined through the plan-do-check-act (PDCA) cycles. Data from January to June 2023 (control group) and July to December 2023 (intervention group) were collected to compare the differences in environmental hygiene monitoring qualification rate, incidence rate of hospital-acquired infections among inpatients, and detection rate of bacterial antimicrobial resistance. ResultsHigh-risk factors for hospital-acquired infections in neurosurgery department included patient-related risk factors, inadequate implementation of isolation measures for special infections, and poor compliance with surgical site infection (SSI) prevention protocols. After intervention, the environmental hygiene qualification rate significantly increased from 81.55% to 100.00% (χ²=120.49, P<0.001). The overall hospital-acquired infection rate among inpatients decreased from 2.62% to 2.45%, the infection rate of per case declined from 3.12% to 2.84%, and the detection rate of multidrug-resistant organism infections reduced from 43.72% to 36.79%. Additionally, antimicrobial utilization rate decreased from 48.75% to 42.53% (χ²=34.09, P<0.001). ConclusionThe FMEA-based risk assessment system can effectively identify critical infection risks in neurosurgery department, and targeted interventions can significantly improve infection prevention and control performance.

Objective To observe the value of machine learning(ML)model based on chest non-contrast CT(NCCT)radiomics for diagnosing metabolic syndrome(MetS)in males.Methods A total of 792 males who would undergo chest NCCT and bone density CT examination for physical check-up were prospectively enrolled and divided into training set(n=554,including 171 cases of MetS)and validation set(n=238,including 70 cases of MetS)at the ratio of 7∶3.Chest NCCT was performed,ROI of liver,intra-abdominal fat and skeletal muscle were delineated,and visceral fat area(VFA)at L2-3 intervertebral disc level was measured.Then radiomic signature(RS)of liver,intra-abdominal fat and skeletal muscle were established,and ML models were constructed using logistic regression(LR),random forests(RF)and extreme gradient boosting(XGBoost)algorithms,respectively,and their diagnostic performance were observed.Results Significant difference of age was found between MetS and non-MetS males in training set(P=0.010),while of RS scores were noticed in both training set and validation set(all P＜0.001).Combined ML models were constructed with age and RS.The area under the curve(AUC)of combined LR,RF and XGBoost models for diagnosing male MetS in training set was 0.899,0.996 and 0.943,while that in validation set was 0.861,0.860 and 0.876,respectively.Combined XGBoost model had the best performance.Conclusion XGBoost model based on chest NCCT radiomics was helpful for diagnosing male MetS.Combining with age could further improve its efficacy.

OBJECTIVE: To investigate the clinical and genetic features of a Chinese pedigree with Progressive familial intrahepatic cholestasis (PFIC) and explore its genotype-phenotype correlation. METHODS: A patient with PFIC diagnosed at Xinxiang Central Hospital in 2023 was selected as the study subject. The patient was subjected to abdominal magnetic resonance imaging (MRI) and painless gastroscopy. Peripheral blood samples were collected from the patient and his parents for the extraction of genomic DNA and trio-whole exome sequencing (trio-WES). Candidate variants were verified by Sanger sequencing. This study has been approved by the Medical Ethics Committee of Xinxiang Hospital (Ethics No. 2023-241). RESULTS: MRI scan showed that the patient had significantly enlarged liver and spleen. WES revealed that he has harbored compound heterozygous variants of the ATP8B1 gene, including a c.1710_1711insCCTC (p.A571Pfs*12) frameshifting variant in exon 16 and a c.2989G>A (p.V997M) missense variant in exon 24, which were respectively inherited from his father and mother, and rated as pathogenic (PVS1+PM2_Supporting+PM3+PP1) and likely pathogenic (PM2_Supporting+PM3+PP1) based on the guidelines from the American College of Medical Genetics and Genomics (ACMG). CONCLUSION WES can clarify the genetic etiology of patients with speed and accuracy, and facilitate clinical decision-making. The detection of pathogenic variants has provided a basis for clinical diagnosis and enriched the mutational spectrum of the ATP8B1 gene.
Humans ; Male ; Pedigree ; Cholestasis, Intrahepatic/diagnostic imaging* ; Adenosine Triphosphatases/genetics* ; Female ; Adult ; Exome Sequencing ; Mutation ; East Asian People

Objective:To investigate the clinical and genetic features of a Chinese pedigree with Progressive familial intrahepatic cholestasis (PFIC) and explore its genotype-phenotype correlation.Methods:A patient with PFIC diagnosed at Xinxiang Central Hospital in 2023 was selected as the study subject. The patient was subjected to abdominal magnetic resonance imaging (MRI) and painless gastroscopy. Peripheral blood samples were collected from the patient and his parents for the extraction of genomic DNA and trio-whole exome sequencing (trio-WES). Candidate variants were verified by Sanger sequencing. This study has been approved by the Medical Ethics Committee of Xinxiang Hospital (Ethics No. 2023-241).Results:MRI scan showed that the patient had significantly enlarged liver and spleen. WES revealed that he has harbored compound heterozygous variants of the ATP8B1 gene, including a c. 1710_1711insCCTC (p.A571Pfs*12) frameshifting variant in exon 16 and a c. 2989G>A (p.V997M) missense variant in exon 24, which were respectively inherited from his father and mother, and rated as pathogenic (PVS1+ PM2_Supporting+ PM3+ PP1) and likely pathogenic (PM2_Supporting+ PM3+ PP1) based on the guidelines from the American College of Medical Genetics and Genomics (ACMG). Conclusion:WES can clarify the genetic etiology of patients with speed and accuracy, and facilitate clinical decision-making. The detection of pathogenic variants has provided a basis for clinical diagnosis and enriched the mutational spectrum of the ATP8B1 gene.

Jasmonic acid (JA) is a common plant hormone with regulatory effects on plant growth and development. The jasmonate ZIM-domain (JAZ) proteins (JAZs), as key regulators in the JA signaling pathway, are involved in multiple biological processes such as anthocyanin accumulation, flowering time modulation, and secondary metabolite synthesis in plants. JAZs are essential components of many regulatory signaling networks. The JAZ genes, members of the plant-specific TIFY family, have been identified in the genomes of a variety of horticultural plants. Here, we summarized the research progress in the roles of JAZs in horticultural plants, aiming to give insights into the further study of the biological functions and regulatory networks of JAZ genes in plants.
Horticulture ; Repressor Proteins/metabolism* ; Plant Proteins/metabolism* ; Cyclopentanes/metabolism* ; Oxylipins/metabolism* ; Plants/metabolism* ; Plant Development

Flowering and bolting are important agronomic traits in cruciferous crops such as Brassica juncea. Timely flowering can ensure the crop organ yield and quality, as well as seed propagation. The WRKY family plays an important role in regulating plant bolting and flowering, while the function and mechanism of WRKY12 in B. juncea remain unknown. To explore its function and mechanism in bolting and flowering of B. juncea, we cloned and characterized the BjuWRKY12 gene in B. juncea and found that its expression levels were significantly higher in flowers and inflorescences than in leaves. BjuWRKY12 belonged to the Ⅱc subfamily of the WRKY family, and subcellular localization indicated that the protein was located in the nucleus. Ectopic overexpression of BjuWRKY12 in transgenic lines promoted bolting and flowering, leading to significant increases in the expression levels of flowering integrators SOC1 and FUL. Furthermore, yeast one-hybrid and dual luciferase reporter system assays confirmed that BjuWRKY12 directly bound to the promoters of BjuSOC1 and BjuFUL, undergoing protein-DNA interactions. This discovery gives new insights into the regulation network and molecular mechanisms of BjuWRKY12, laying a theoretical foundation for the breeding of high-yield and high-quality varieties of B. juncea.
Mustard Plant/metabolism* ; Flowers/growth & development* ; Plant Proteins/physiology* ; Promoter Regions, Genetic/genetics* ; Gene Expression Regulation, Plant ; Plants, Genetically Modified/genetics* ; Transcription Factors/metabolism* ; MADS Domain Proteins/metabolism*

Objective To investigate the value of nutritional status control(CONUT)score,platelet to albumin ratio(PAR)and mean platelet volume to lymphocyte ratio(MPVLR)before treatment on immunotherapy efficacy and immune-related adverse reactions(irAEs)in advanced gastric cancer patients.Methods A total of 113 patients with advanced gastric cancer admitted to the hospital from January 2020 to June 2023 were selected as the gas-tric cancer group,and 113 healthy volunteers were selected as the control group.According to the efficacy of immunotherapy,the patients with advanced gastric cancer were divided into effective group(70 cases)and in-effective group(43 cases),and divided into irAEs group(51 cases)and non-irAEs group(62 cases)according to whether irAEs occurred.The factors influencing the occurrence of irAEs in advanced gastric cancer were analyzed,and the value of CONUT score,PAR and MPVLR before treatment in predicting the efficacy of im-munotherapy and irAEs in advanced gastric cancer was analyzed.Results The CONUT score,PAR and MPV-LR in gastric cancer group before treatment were higher than those in control group(P＜0.05).The CONUT score,PAR and MPVLR before treatment in the ineffective group were higher than those in the effective group(P＜0.05).The area under the curve(AUC)of CONUT score,PAR and MPVLR alone in predicting the ineffective immunotherapy in advanced gastric cancer patients before treatment were 0.779,0.739 and 0.766,respectively,the AUC predicted by combined detection was 0.889,which was higher than that predic-ted by alone(P＜0.05).The CONUT score,PAR and MPVLR before treatment in irAEs group were higher than those in non-irAEs group(P＜0.05).The age of irAEs group was lower than that of non-irAEs group(P＜0.05),and the proportion of Ki-67 index,CD4+T lymphocytes and Treg cells was lower than that of non-irAEs group(P＜0.05).The increase of CONUT score,PAR and MPVLR before treatment were risk factors for irAEs in advanced gastric cancer patients(P＜0.05),and the increase of Treg cell proportion was a protective factor(P＜0.05).The AUC of CONUT score,PAR and MPVLR alone in predicting the occurrence of irAEs in advanced gastric cancer patients before treatment was 0.816,0.798 and 0.783,respectively,the AUC predic-ted by combined detection was 0.887,which was higher than that predicted alone(P＜0.05).Conclusion The CO-NUT score,PAR and MPVLR before treatment are significantly increased in advanced gastric cancer patients,and are associated with ineffective immunotherapy and the occurrence of irAEs.The combined detection of the three indicators can effectively predict the immunotherapy efficacy and irAEs in advanced gastric cancer pa-tients.

Objective To observe the value of machine learning(ML)model based on chest non-contrast CT(NCCT)radiomics for diagnosing metabolic syndrome(MetS)in males.Methods A total of 792 males who would undergo chest NCCT and bone density CT examination for physical check-up were prospectively enrolled and divided into training set(n=554,including 171 cases of MetS)and validation set(n=238,including 70 cases of MetS)at the ratio of 7∶3.Chest NCCT was performed,ROI of liver,intra-abdominal fat and skeletal muscle were delineated,and visceral fat area(VFA)at L2-3 intervertebral disc level was measured.Then radiomic signature(RS)of liver,intra-abdominal fat and skeletal muscle were established,and ML models were constructed using logistic regression(LR),random forests(RF)and extreme gradient boosting(XGBoost)algorithms,respectively,and their diagnostic performance were observed.Results Significant difference of age was found between MetS and non-MetS males in training set(P=0.010),while of RS scores were noticed in both training set and validation set(all P＜0.001).Combined ML models were constructed with age and RS.The area under the curve(AUC)of combined LR,RF and XGBoost models for diagnosing male MetS in training set was 0.899,0.996 and 0.943,while that in validation set was 0.861,0.860 and 0.876,respectively.Combined XGBoost model had the best performance.Conclusion XGBoost model based on chest NCCT radiomics was helpful for diagnosing male MetS.Combining with age could further improve its efficacy.

Objective:To investigate the clinical and genetic features of a Chinese pedigree with Progressive familial intrahepatic cholestasis (PFIC) and explore its genotype-phenotype correlation.Methods:A patient with PFIC diagnosed at Xinxiang Central Hospital in 2023 was selected as the study subject. The patient was subjected to abdominal magnetic resonance imaging (MRI) and painless gastroscopy. Peripheral blood samples were collected from the patient and his parents for the extraction of genomic DNA and trio-whole exome sequencing (trio-WES). Candidate variants were verified by Sanger sequencing. This study has been approved by the Medical Ethics Committee of Xinxiang Hospital (Ethics No. 2023-241).Results:MRI scan showed that the patient had significantly enlarged liver and spleen. WES revealed that he has harbored compound heterozygous variants of the ATP8B1 gene, including a c. 1710_1711insCCTC (p.A571Pfs*12) frameshifting variant in exon 16 and a c. 2989G>A (p.V997M) missense variant in exon 24, which were respectively inherited from his father and mother, and rated as pathogenic (PVS1+ PM2_Supporting+ PM3+ PP1) and likely pathogenic (PM2_Supporting+ PM3+ PP1) based on the guidelines from the American College of Medical Genetics and Genomics (ACMG). Conclusion:WES can clarify the genetic etiology of patients with speed and accuracy, and facilitate clinical decision-making. The detection of pathogenic variants has provided a basis for clinical diagnosis and enriched the mutational spectrum of the ATP8B1 gene.

Objective:To investigate the relationship between three-dimensional choroidal vascularity index (3D CVI) and the severity of diabetic retinopathy (DR) using swept-source optical coherence tomography angiography (SS-OCTA).Methods:A cross-sectional study was conducted.A total of 139 eyes of 139 subjects, including 115 eyes with diabetes mellitus and 24 control eyes without diabetes, were enrolled in the Second People's Hospital of Hefei from March to December 2022.DR was graded according to the standard seven-field ETDRS color fundus photographs.Eyes with diabetes mellitus were divided into non-DR (NDR) group (34 eyes), non-proliferative DR (NPDR) group (42 eyes), NPDR with diabetic macular edema (DME) group (21 eyes) and PDR group (18 eyes).3D CVI in central fovea 1 mm (C1) and parafoveal 3 mm (C3), choroidal vascular volume (CVV), and choroidal thickness were measured by SS-OCTA in the area of 3 mm×3 mm centered on the fovea using the built-in automated quantification software.Parafoveal region was divided into superior, inferior, temporal and nasal quadrants, and 3D CVI of the different quadrants was detected.3D CVI was defined as the ratio of CVV to total choroidal volume.The monocular data were analyzed to compare 3D CVI among the five groups, and multiple linear regression analysis was used to evaluate the influencing factors.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of the Second People's Hospital of Hefei, Hefei Hospital Affiliated to Anhui Medical University (No.2022064).All subjects were aware of the study purpose and agreed to participate the study.Results:There were significant differences in 3D CVI-C1 and 3D CVI-C3 among all groups ( F=3.103, 3.036, both at P<0.05).In PDR group, 3D CVI-C1 was lower than in non-DR group, and 3D CVI-C3 was lower than in control group and non-DR group, with statistically significant differences (all at P<0.05).There were significant differences in 3D CVI in the inferior and nasal quadrants among all groups ( F=2.714, 4.020, both at P<0.05).In PDR group, 3D CVI in the inferior quadrant was lower than that in non-DR group, and 3D CVI in nasal quadrant in PDR group was lower than that in control group, non-DR group, NPDR group and NPDR with DME group, with statistically significant differences (all at P<0.05).Multiple linear regression showed that after controlling for age, course of disease and glycosylated hemoglobin, the severity of DR was the influencing factor of 3D CVI in fovea and parafovea.PDR eyes had the greatest impact on 3D CVI in fovea and parafovea.Compared with non-DR eyes, there was a -0.019(95% CI: -0.031--0.007, P=0.003) decrease in central foveal 3D CVI and a -0.019(95% CI: -0.030--0.008, P=0.001) decrease in parafoveal 3D CVI in PDR eyes, followed by a 0.014(95% CI: -0.027-0.000, P=0.044) decrease in central foveal 3D CVI in NPDR with DME eyes. Conclusions:Macular foveal 3D CVI correlates with DR severity, and a decrease in 3D CVI of large vessels in the macular choroid may be a sensitive indicator of DR exacerbation.