PURPOSE: Septic shock is associated with high mortality and poor outcomes among sepsis patients with coagulopathy. Although traditional statistical methods or machine learning (ML) algorithms have been proposed to predict septic shock, these potential approaches have never been systematically compared. The present work aimed to develop and compare models to predict septic shock among patients with sepsis. METHODS: It is a retrospective cohort study based on 484 patients with sepsis who were admitted to our intensive care units between May 2018 and November 2022. Patients from the 908th Hospital of Chinese PLA Logistical Support Force and Nanchang Hongdu Hospital of Traditional Chinese Medicine were respectively allocated to training (n=311) and validation (n=173) sets. All clinical and laboratory data of sepsis patients characterized by comprehensive coagulation indexes were collected. We developed 5 models based on ML algorithms and 1 model based on a traditional statistical method to predict septic shock in the training cohort. The performance of all models was assessed using the area under the receiver operating characteristic curve and calibration plots. Decision curve analysis was used to evaluate the net benefit of the models. The validation set was applied to verify the predictive accuracy of the models. This study also used Shapley additive explanations method to assess variable importance and explain the prediction made by a ML algorithm. RESULTS: Among all patients, 37.2% experienced septic shock. The characteristic curves of the 6 models ranged from 0.833 to 0.962 and 0.630 to 0.744 in the training and validation sets, respectively. The model with the best prediction performance was based on the support vector machine (SVM) algorithm, which was constructed by age, tissue plasminogen activator-inhibitor complex, prothrombin time, international normalized ratio, white blood cells, and platelet counts. The SVM model showed good calibration and discrimination and a greater net benefit in decision curve analysis. CONCLUSION The SVM algorithm may be superior to other ML and traditional statistical algorithms for predicting septic shock. Physicians can better understand the reliability of the predictive model by Shapley additive explanations value analysis.
Humans ; Shock, Septic/blood* ; Machine Learning ; Male ; Female ; Retrospective Studies ; Middle Aged ; Aged ; Sepsis/complications* ; ROC Curve ; Cohort Studies ; Adult ; Intensive Care Units ; Algorithms ; Blood Coagulation ; Critical Illness

OBJECTIVES: To investigate the relationship between the polygenic risks for various psychiatric disorders and clinical and neuropsychological characteristics in children with attention-deficit/hyperactivity disorder (ADHD). METHODS: Using a cross-sectional design, 285 children with ADHD and 107 healthy controls were assessed using the Child Behavior Checklist, the Behavior Rating Inventory of Executive Function for parents, the Wechsler Intelligence Scale for Children, Fourth Edition, and the Cambridge Neuropsychological Test Automated Battery. Blood samples were collected for genetic data. Polygenic risk scores (PRSs) for various psychiatric disorders were calculated using the PRSice-2 software. RESULTS: Compared with the healthy controls, the children with ADHD displayed significantly higher PRSs for ADHD, major depressive disorder, anxiety disorder, and obsessive-compulsive disorder (P<0.05). In terms of daily-life executive function, ADHD-related PRS was significantly correlated with the working memory factor; panic disorder-related PRS was significantly correlated with the initiation factor; bipolar disorder-related PRS was significantly correlated with the shift factor; schizophrenia-related PRS was significantly correlated with the inhibition, emotional control, initiation, working memory, planning, organization, and monitoring factors (P<0.05). The PRS related to anxiety disorders was negatively correlated with total IQ and processing speed index (P<0.05). The PRS related to obsessive-compulsive disorder was negatively correlated with the processing speed index and positively correlated with the stop-signal reaction time index of the stop-signal task (P<0.05). CONCLUSIONS PRSs for various psychiatric disorders are closely correlated with the behavioral and cognitive characteristics in children with ADHD, which provides more insights into the heterogeneity of ADHD.
Humans ; Attention Deficit Disorder with Hyperactivity/genetics* ; Child ; Male ; Female ; Cross-Sectional Studies ; Neuropsychological Tests ; Multifactorial Inheritance ; Adolescent ; Mental Disorders/etiology* ; Executive Function ; Genetic Risk Score

Hemorrhagic shock is a common clinical emergency that can aggravate cell injury after resuscitation. Astrocytes are crucial for the survival of neurons because they regulate the surrounding ionic microenvironment of neurons. Although hemorrhagic shock and resuscitation (HSR) injury can impair cognition, it remains unclear how this insult directly affects astrocytes. In this study, we established an HSR model by bleeding and re-transfusion in mice. The social interaction test and new object recognition test were applied to evaluate post-operative cognitive changes, and the results suggest that mice experience cognitive impairment following exposure to HSR. In the HSR group, the power spectral density of β and γ oscillations decreased, and the coupling of the θ oscillation phase and γ oscillation amplitude was abnormal, which indicated abnormal neuronal oscillation and cognitive impairment after HSR exposure. In brief, cognitive impairment in mice is strongly correlated with Ca²⁺ signal strength in lateral septum astrocytes following HSR.
Animals ; Astrocytes/metabolism* ; Shock, Hemorrhagic/metabolism* ; Resuscitation/adverse effects* ; Male ; Mice ; Calcium Signaling/physiology* ; Mice, Inbred C57BL ; Septal Nuclei/metabolism* ; Cognitive Dysfunction/etiology* ; Disease Models, Animal ; Cognition Disorders/etiology*

Pyroptosis is an identified programmed cell death that has been highly linked to endoplasmic reticulum (ER) dynamics. However, the crucial proteins for modulating dynamic ER membrane curvature change that trigger pyroptosis are currently not well understood. In this study, a biotin-labeled chemical probe of potent pyroptosis inducer α-mangostin (α-MG) was synthesized. Through protein microarray analysis, reticulon-4 (RTN4/Nogo), a crucial regulator of ER membrane curvature, was identified as a target of α-MG. We observed that chemically induced proteasome degradation of RTN4 by α-MG through recruiting E3 ligase UBR5 significantly enhances the pyroptosis phenotype in cancer cells. Interestingly, the downregulation of RTN4 expression significantly facilitated a dynamic remodeling of ER membrane curvature through a transition from tubules to sheets, consequently leading to rapid fusion of the ER with the cell plasma membrane. In particular, the ER-to-plasma membrane fusion process is supported by the observed translocation of several crucial ER markers to the "bubble" structures of pyroptotic cells. Furthermore, α-MG-induced RTN4 knockdown leads to pyruvate kinase M2 (PKM2)-dependent conventional caspase-3/gasdermin E (GSDME) cleavages for pyroptosis progression. In vivo, we observed that chemical or genetic RTN4 knockdown significantly inhibited cancer cells growth, which further exhibited an antitumor immune response with anti-programmed death-1 (anti-PD-1). In translational research, RTN4 high expression was closely correlated with the tumor metastasis and death of patients. Taken together, RTN4 plays a fundamental role in inducing pyroptosis through the modulation of ER membrane curvature remodeling, thus representing a prospective druggable target for anticancer immunotherapy.
Pyroptosis/immunology* ; Humans ; Endoplasmic Reticulum/immunology* ; Animals ; Nogo Proteins/antagonists & inhibitors* ; Mice ; Cell Line, Tumor ; Xanthones/pharmacology* ; Neoplasms/pathology* ; Mice, Nude

Lung cancer exhibits the highest incidence and mortality rates among cancers globally, with a five-year overall survival rate alarmingly below 20%. Targeting autophagy, though a controversial therapeutic strategy, is extensively employed in clinical practice. Current research is actively pursuing various therapeutic strategies using small molecules to exploit the dual function of autophagy. Nevertheless, the pivotal question of enhancing or inhibiting autophagy in cancer therapy merits further attention. This review aims to provide a comprehensive overview of the mechanisms of autophagy in lung cancer. It also explores recent advances in targeting cytotoxic autophagy and inhibiting protective autophagy with small molecules to induce cell death in lung cancer cells. Notably, most autophagy-targeting drugs, primarily natural small molecules, have demonstrated that activating cytotoxic autophagy effectively induces cell death in lung cancer, as opposed to inhibiting protective autophagy. These insights contribute to identifying druggable targets and drug candidates for potential autophagy-related lung cancer therapies, offering promising approaches to combat this disease.

Lung cancer exhibits the highest incidence and mortality rates among cancers globally,with a five-year overall survival rate alarmingly below 20％.Targeting autophagy,though a controversial therapeutic strategy,is extensively employed in clinical practice.Current research is actively pursuing various therapeutic strategies using small molecules to exploit the dual function of autophagy.Nevertheless,the pivotal question of enhancing or inhibiting autophagy in cancer therapy merits further attention.This review aims to provide a comprehensive overview of the mechanisms of autophagy in lung cancer.It also explores recent advances in targeting cytotoxic autophagy and inhibiting protective autophagy with small molecules to induce cell death in lung cancer cells.Notably,most autophagy-targeting drugs,primarily natural small molecules,have demonstrated that activating cytotoxic autophagy effectively induces cell death in lung cancer,as opposed to inhibiting protective autophagy.These insights contribute to identifying druggable targets and drug candidates for potential autophagy-related lung cancer therapies,offering promising approaches to combat this disease.

Objective To report the genetic analysis of a family with a fetus suspected of Ellis-van Creveld(EVC)syndrome based on ultrasound findings such as ventricular septal defect(VSD),short long bones in the limbs and polydactyly,and to conduct a literature review to clarify the pathogenic cause.Methods A 27-year-old pregnant woman,who was pregnant for the first time and had no prior deliveries,was admitted to the prenatal diagnosis center of Shijiazhuang Obstetrics and Gynecology Hospital in October 2021.At 17 weeks of gestation,ultrasound detected multiple fetal malformations.The genomic DNA of the fetal proband's amniotic fluid cells and the parents'peripheral blood samples were sequentially subjected to chromosomal karyotype analysis,chromosomal microarray analysis(CMA),and whole exome sequencing(WES).Suspected pathogenic mutations were verified by Sanger sequencing in the proband and its parents.Subsequently,a Minigene in vitro experiment was used to analyze one splicing mutation.Meanwhile,databases such as PubMed were searched,and literature reports were combined for genetic analysis.Results Chromosomal karyotype analysis of the fetus showed no abnormalities,and CMA did not detect any copy number variation(CNV)with clinical significance.WES results revealed two mutations in the EVC gene(NM_153717.2)of the fetus:a nonsense mutation c.1405G>T(p.E469X)in exon 10 and a splicing mutation c.1886+5G>A in intron 13.Family verification using Sanger sequencing showed that the father was a carrier of the c.1405G>T(p.E469X)mutation in exon 10,and the mother was a carrier of the c.1886+5G>A mutation in intron 13.The compound heterozygous mutation of the fetus was inherited from the parents.According to the guidelines of the American College of Medical Genetics and Genomics(ACMG)for classifying genetic variations,c.1405G>T(p.E469X)was classified as likely pathogenic mutation(PVS1+PM2),and c.1886+5G>A was classified as likely pathogenic mutation(PM2+PM3_Strong).The Minigene experiment results showed that the c.1886+5G>A mutation caused a 115-bp segment retention in intron 13,further supporting its pathogenicity.Review of the literature showed that the typical clinical manifestations of EVC syndrome include short limbs,short ribs,postaxial polydactyly,nail and tooth dysplasia,and congenital heart defects.Gene mutations in EVC/EVC2 were found to be the main pathogenic cause through whole exome sequencing,with mutation types including missense mutations,large-scale duplications/deletions,in-frame microdeletions,nonsense mutations,frameshift mutations,and splicing mutations.Conclusions The compound heterozygous mutations in the EVC gene are the pathogenic cause of the fetus.The detection of these mutations expands the genetic variation spectrum of Ellis-van Creveld syndrome.

Objective:To investigate the efficacy and potential mechanism of sulfasalazine (SASP) therapy for intrahepatic cholestasis.Methods:Forty SD rats were randomly divided into a normal group (carboxymethylcellulose sodium 0.5%), a model group (carboxymethylcellulose sodium 0.5%), a SASP group (sulfasalazine 150 mg/kg), and an ursodeoxycholic acid (UDCA 100 mg/kg) group, with ten rats in each group. The cholestatic liver injury model was induced using α-naphthylisothiocyanate. Blood samples were collected to detect liver biochemistry and cholestasis indexes. Rat liver tissue was collected for hematoxylin-eosin staining and Mason staining. Liver tissue was analyzed using transcriptome sequencing, real-time reverse transcription quantitative polymerase chain reaction, Western blotting and flow cytometry. Simultaneously, the level of inflammatory factors, total cholesterol, and total bile acids were measured in liver tissue. A t-test or a nonparametric test was selected based on the distribution and variance characteristics of the data. Results:The serum levels of alanine aminotransferase [(386.88±155.77) U/L], aspartate aminotransferase [(593.13±251.44) U/L], alkaline phosphatase [(561.25±167.54) U/L], total bilirubin [(38.00±29.75) mol/L] and total bile acids [(191.31±91.48) mol/L] were significantly lower in the SASP than the model groups [(778.75±313.59) U/L, (1 159.38±274.62) U/L, (801.25±161.28) U/L, (86.63±27.83) mol/L, (432.63±151.54) mol/L, P<0.05]. Liver histopathology showed that the inflammatory cells in the manifold area, the bile duct proliferation and dilation, and the collagen deposition in the manifold area were significantly improved under the pathological state of cholestasis in the SASP group. The results of transcriptome sequencing demonstrated that SASP activated the peroxisome proliferator actived receptor α (PPAR α) and inhibited Th17 cell differentiation. The PPARα mRNA level in the liver tissue of rats was significantly increased in the SASP group compared with that in the model group [(0.41±0.28) vs. (0.16±0.04), P<0.05], and the expression of 3-hydroxy-3-methylglutaryl coenzyme A reductase was decreased compared with that in the model group [(3.09±1.16) vs. (8.19±2.19), P<0.05], which was also verified at the protein level. The concentrations of total cholesterol [(0.31±0.34) mmol/g] and total bile acids [(2.58±0.99) μmol/g] were lower than the model group [(0.83±0.62) mmol/g and (4.07±0.91) μmol/g] ( P<0.05), and at the same time it was accompanied by lower levels of inflammatory factors ( P<0.05). SASP treatment decreased the expression of retinoic acid receptor-related orphan receptor γt gene ( P<0.05) and the proportion of Th17 ( P<0.05). Conclusion:SASP can improve cholestatic liver injury, and its mechanism is related to the activation of peroxisome proliferator-activated receptor α and the inhibition of Th17 cell differentiation.

Objective:To investigate the efficacy and potential mechanism of sulfasalazine (SASP) therapy for intrahepatic cholestasis.Methods:Forty SD rats were randomly divided into a normal group (carboxymethylcellulose sodium 0.5%), a model group (carboxymethylcellulose sodium 0.5%), a SASP group (sulfasalazine 150 mg/kg), and an ursodeoxycholic acid (UDCA 100 mg/kg) group, with ten rats in each group. The cholestatic liver injury model was induced using α-naphthylisothiocyanate. Blood samples were collected to detect liver biochemistry and cholestasis indexes. Rat liver tissue was collected for hematoxylin-eosin staining and Mason staining. Liver tissue was analyzed using transcriptome sequencing, real-time reverse transcription quantitative polymerase chain reaction, Western blotting and flow cytometry. Simultaneously, the level of inflammatory factors, total cholesterol, and total bile acids were measured in liver tissue. A t-test or a nonparametric test was selected based on the distribution and variance characteristics of the data. Results:The serum levels of alanine aminotransferase [(386.88±155.77) U/L], aspartate aminotransferase [(593.13±251.44) U/L], alkaline phosphatase [(561.25±167.54) U/L], total bilirubin [(38.00±29.75) mol/L] and total bile acids [(191.31±91.48) mol/L] were significantly lower in the SASP than the model groups [(778.75±313.59) U/L, (1 159.38±274.62) U/L, (801.25±161.28) U/L, (86.63±27.83) mol/L, (432.63±151.54) mol/L, P<0.05]. Liver histopathology showed that the inflammatory cells in the manifold area, the bile duct proliferation and dilation, and the collagen deposition in the manifold area were significantly improved under the pathological state of cholestasis in the SASP group. The results of transcriptome sequencing demonstrated that SASP activated the peroxisome proliferator actived receptor α (PPAR α) and inhibited Th17 cell differentiation. The PPARα mRNA level in the liver tissue of rats was significantly increased in the SASP group compared with that in the model group [(0.41±0.28) vs. (0.16±0.04), P<0.05], and the expression of 3-hydroxy-3-methylglutaryl coenzyme A reductase was decreased compared with that in the model group [(3.09±1.16) vs. (8.19±2.19), P<0.05], which was also verified at the protein level. The concentrations of total cholesterol [(0.31±0.34) mmol/g] and total bile acids [(2.58±0.99) μmol/g] were lower than the model group [(0.83±0.62) mmol/g and (4.07±0.91) μmol/g] ( P<0.05), and at the same time it was accompanied by lower levels of inflammatory factors ( P<0.05). SASP treatment decreased the expression of retinoic acid receptor-related orphan receptor γt gene ( P<0.05) and the proportion of Th17 ( P<0.05). Conclusion:SASP can improve cholestatic liver injury, and its mechanism is related to the activation of peroxisome proliferator-activated receptor α and the inhibition of Th17 cell differentiation.