OBJECTIVES: Cardiovascular disease (CVD) poses a major threat to global health. Evaluating atherosclerosis in asymptomatic individuals can help identify those at high risk of CVD. This study aims to establish an individualized nomogram prediction model to estimate the risk of vascular plaque formation in asymptomatic individuals. METHODS: A total of 5 655 participants who underwent CVD screening at the Health Management Center of The Third Xiangya Hospital, Central South University, between January 2022 and June 2024 we retrospectively enrolled. Using simple random sampling, participants were divided into a training set (n=4 524) and a validation set (n=1 131) in an 8꞉2 ratio. Demographic and clinical data were collected and compared between groups. Multivariate logistic regression analysis was used to identify independent factors associated with vascular plaques and to construct a nomogram prediction model. The predictive performance and clinical utility of the model were evaluated using receiver operating characteristic (ROC) curves, the Hosmer-Lemeshow goodness-of-fit test, calibration plots, and decision curve analysis (DCA). RESULTS: The mean age of participants was 52 years old. There were 3 400 males (60.12%). The overall detection rate of vascular plaque in the screening population was 49.87% (2 820/5 655). No statistically significant differences were observed in clinical indicators between the training and validation sets (all P>0.05). Multivariate Logistic regression analysis identified age, systolic blood pressure, high-density lipoprotein (HDL), low-density lipoprotein (LDL), lipoprotein(a), male sex, smoking history, hypertension history, and diabetes history as independent risk factors for vascular plaque in asymptomatic individuals (all P<0.05). The area under the curve (AUC) of the nomogram model for predicting vascular plaque risk were 0.778 (95% CI 0.765 to 0.791, P<0.001) in the training set and 0.760 (95% CI 0.732 to 0.787, P<0.001) in the validation set. The Hosmer-Lemeshow goodness-of-fit test indicated good model calibration (training set: P=0.628; validation set: P=0.561). The calibration curve plotted using the Bootstrap method demonstrated good agreement between predicted probabilities and actual probabilities. DCA showed that the nomogram provided a clinical net benefit for predicting vascular plaque risk when the threshold probability ranged from 0.02 to 0.99. CONCLUSIONS The nomogram prediction model for vascular plaque risk, constructed using readily available and cost-effective physical examination indicators, exhibited good predictive performance. This model can assist in the early identification and intervention of asymptomatic individuals at high risk for cardiovascular disease.
Humans ; Male ; Middle Aged ; Female ; Nomograms ; Retrospective Studies ; Risk Factors ; Plaque, Atherosclerotic/diagnosis* ; Aged ; Adult ; Physical Examination ; Logistic Models ; Cardiovascular Diseases/epidemiology* ; ROC Curve

PANoptosis is a newly defined type of programmed cell death (PCD), which is triggered by a variety of stimuli and covers three known forms of PCD: apoptosis, pyroptosis and necroptosis. In physiological state, cell death plays an important protective role against pathogen invasion, but its over-activation may aggravate inflammatory response and cause tissue damage. Studies have shown that the occurrence and progression of acute lung injury/acute respiratory distress syndrome (ALI/ARDS), asthma, chronic obstructive pulmonary disease (COPD) and other lung diseases are closely related to PANoptosis. The purpose of this review is to deeply explore the molecular mechanism of PANoptosis and its regulatory factors in lung diseases, in order to discover potential therapeutic targets and provide new targets and innovative ideas for clinical treatment for lung diseases.
Humans ; Lung Diseases ; Apoptosis ; Pyroptosis ; Pulmonary Disease, Chronic Obstructive ; Necroptosis ; Acute Lung Injury

Objective To explore the content and the psychometric properties of assessment tools used for evaluating functioning and adaptive behavior in school-age children with intellectual and developmental disabilities within educational settings. Methods The most used assessment tools included Vineland Adaptive Behavior Scales(VABS),Supports Intensity Scale for Children(SIS-C),Strengths and Difficulties Questionnaire(SDQ)and Repetitive Behavior Scale-Revised(RBS-R),for assessing functioning and adaptive behavior children with intellectual and developmental disabili-ties.Employing the framework and methods of the International Classification of Functioning,Disability,and Health(ICF),this research encoded and categorized the assessment dimensions and items of the four tools,and explored their psychometric properties. Results VABS's assessment content was solely focused on activities and participation,including speaking(d330),con-versation(d350),toileting(d530),eating(d550),drinking(d560),basic interpersonal interactions(d710),com-plex interpersonal interactions(d720),changing and maintaining body positions(d410-d429),carrying,moving and handing objects(d430-d449),and walking and moving(d450-d469).SIS-C assessed activities and participa-tion,and environmental factors,including washing oneself(d510),caring for body parts(d520),community life(d910),using transportation(d470),school education(d820),basic learning(d130-d159),looking after one's health(d570),basic interpersonal interactions(d710),and products and technology for education(e130).SDQ fo-cused on body functions,and activities and participation,including emotional functions(b152),global psychoso-cial functions(b122),attention functions(b140),and basic interpersonal interactions(d710).RBS-R focused on body functions,and activities and participation,including involuntary movement reaction functions(b755),invol-untary movement functions(b765),looking after one's health(d570),energy and drive functions(b130),under-taking a single task(d210),carrying out daily routine(d230),attention functions(b140),and handling stress and other psychological demands(d240).VABS was characterized by good specificity and excellent sensitivity.SIS-C demonstrated very good internal consistency,reliability and validity.SDQ was good in internal consistency,with excellent credibility and validity.RBS-R showed good internal consistency,reliability and validity. Conclusion SDQ and RBS-R cover both body functions,and activities and participation,SIS-C covers activity and par-ticipation,and environmental factors,while VABS solely assesses activities and participation.In terms of body functions,the assessment items primarily focus on mental functions(b130-b189)and movement functions(b750-b799).For activities and participation,the tools assess content across eight domains of functioning.Regarding en-vironmental factors,the assessment content mainly includes products and technology for education(e130),as well as design,construction and building products and technology of buildings for public use(e150).VABS,SIS-C,SDQ,and RBS-R are all norm-referenced measures,with moderate to excellent internal consistency,and good to excellent reliability and validity.

Objective:To evaluate the effect of hydrogen on lipopolysaccharide (LPS) and nigericin-induced pyroptosis in macrophages and the role of long non-coding RNA (lncRNA) nuclear-enriched abundant transcript 1 (NEAT1).Methods:Human monocyte-derived macrophages THP-1 cells were cultured in vitro and divided into 4 groups ( n=25 each) using a random number table method: control group (group C), LPS and nigericin group (group LN), hydrogen-rich medium+ LPS and nigericin group (group H+ LN), and lentiviral transfection+ hydrogen-rich medium+ LPS-nigericin group (group LV+ H+ LN). THP-1 cells were cultured in the common culture medium for 24 h in group C. LPS at a final concentration of 100 ng/ml and nigericin 10 μmol/L were added to the culture medium, and the cells were incubated for 24 h in group LN. In group H+ LN, the culture medium was replaced with 0.6 mmol/L hydrogen-rich medium, then LPS at a final concentration of 100 ng/ml and nigericin 10 μmol/L were immediately added, and the cells were incubated for 24 h. In group LV+ H+ LN, THP-1 cells over-expressing NEAT1 stably after being transfected with lentivirus were used, then LPS at a final concentration of 100 ng/ml and nigericin 10 μmol/L were immediately added, and the cells were incubated for 24 h. Cell viability was detected by CCK-8 assay. Lactic dehydrogenase (LDH) release was assessed by colorimetric method. The amount of LDH released was measured by colorimetry. The concentrations of interleukin-1beta (IL-1β) and IL-18 in culture medium were measured by enzyme-linked immunosorbent assay. The pyroptotic rate was detected by flow cytometry. The expression of nucleotide-binding oligomerization domain-like receptor-containing pyrin domain 3 (NLRP3), apoptosis-associated speck-like protein (ASC), caspase-1 and gasdermin D (GSDMD) was detected by Western blot. The expression of NEAT1 gene was determined by quantitative real-time polymerase chain reaction. Results:Compared with group C, the cell viability was significantly decreased, the amount of LDH released, concentrations of IL-1β and IL-18, and pyroptotic rate were increased, and the expression of NEAT1 gene, NLRP3, ASC, caspase-1 and GSDMD was up-regulated in group LN ( P<0.05). Compared with group LN, the cell viability was significantly increased, the amount of LDH released, concentrations of IL-1β and IL-18, and pyroptotic rate were decreased, and the expression of NEAT1 gene, NLRP3, ASC, caspase-1 and GSDMD was down-regulated in group H+ LN ( P<0.05). Compared with group H+ LN, the cell viability was significantly decreased, the amount of LDH released, concentrations of IL-1β and IL-18, and pyroptotic rate were increased, and the expression of NEAT1 gene, NLRP3, ASC, caspase-1 and GSDMD was up-regulated in group LV+ H+ LN ( P<0.05). Conclusions:Hydrogen can ameliorate LPS and nigericin-induced pyroptosis in macrophages, and the mechanism may be associated with down-regulating the expression of lncRNA NEAT1.

Objective Virtual reality(VR)technology is closely related to eye vision.With the development and progress of hardware and software equipment,VR has been applied widely in the field of ophthalmology.This article describes the application of VR technology in the clinical research and ophthalmology education,reviews the current research results and advantages of this new technology,including the new curative effect in amblyopia/strabismus,myopia and glaucoma,as well as research on the technology's application in cataract surgery training and ophthalmology education.The article also discusses the dangers and difficulties of VR application and predicts its future application trend.In view of the shortcomings of VR in current research applications,the paper discusses and looks forward to provide powerful strategies for amblyopia,myopia and other ophthalmic diseases and clinical research.

Objective To investigate the impact of dexamethasone(DEX)on diaphragmatic atrophy caused by acute respiratory distress syndrome(ARDS)and its correlation with diaphragmatic protein metabolism.Methods Twenty healthy male Sprague-Dawley(SD)rats were randomly assigned to control,ARDS model,low-dose DEX,and high-dose DEX group,with each group consisting of five rats.ARDS was induced in the rats by intratracheal administration of lipopolysaccharide(LPS)at 4 mg/kg.Conversely,intratracheal saline was administered to the control group at 2 mL/kg.Following the induction of the model,an intraperitoneal injection of DEX at 1 mg·kg-1·d-1 was administered to the low-dose DEX group.Conversely,DEX at 5 mg·kg-1·d-1 was administered to the high-dose group for 7 consecutive days.Subsequently,on the eighth day of the experiment,the diaphragmatic weight of all rats was measured.Real-time quantitative polymerase chain reaction(PCR)was utilized to assess the mRNA expression of interleukins(IL-1β,IL-18)in each group.Western blotting was employed to determine the protein expression levels of nuclear factor-κB(NF-κB)p65,NOD-like receptor protein 3(NLRP3),caspase-1,Gasdermin D(GSDMD),myosin heavy chain 2(Myh2),and F-box protein 32(Fbxo32).Additionally,immunohistochemistry was utilized to evaluate the ratio of fast to slow muscle fibers in the diaphragm.Results The ARDS model group showed significant reductions in body weight,diaphragm weight,fast muscle fibers,and Myh2 protein expression compared to the control group[body weight(g):266±17 vs.292±15,diaphragm weight(g):0.77±0.02 vs.0.92±0.08,fast muscle fibers:(74±1)%vs.(78±3)%,Myh2 protein expression(Avalue):0.75±0.07 vs.0.95±0.05,all P<0.05].Conversely,significant increases were observed in the expressions of IL-1β and IL-18 mRNA,slow muscle fibers,and the proteins NF-κB p65,NLRP3,caspase-1,GSDMD,Fbxo32[IL-1β mRNA(IL-1β/GAPDH):2.2±0.3 vs.1.0±0.2,IL-18 mRNA(IL-18/GAPDH):2.3±0.3 vs.1.0±0.3,slow muscle fibers:(26±1)%vs.(22±3)%,NF-κB p65 protein expression(A value):0.40±0.15 vs.0.17±0.05,NLRP3 protein expression(A value):0.51±0.05 vs.0.27±0.08,caspase-1 protein expression(A value):0.54±0.12 vs.0.30±0.19,GSDMD protein expression(A value):0.40±0.12 vs.0.20±0.05,Fbxo32 protein expression(A value):0.51±0.15 vs.0.33±0.08,all P<0.05].Compared with the ARDS group,both low and high doses of DEX were found to further reduce body weight,diaphragm weight,fast muscle fibers,and Myh2 protein expression,and further increase the expressions of IL-1β and IL-18 mRNA,slow muscle fibers,and the proteins NF-κB p65,NLRP3,caspase-1,GSDMD,Fbxo32,with the changes in the high dose DEX group being more significant than those in the low dose group[body weight(g):198±14 vs.222±16,diaphragm weight(g):0.57±0.04 vs.0.68±0.04,fast muscle fibers:(56±5)%vs.(69±2)%,Myh2 protein expression(A value):0.29±0.16 vs.0.57±0.15,IL-1βmRNA expression:5.6±1.4 vs.3.3±0.6,IL-18 mRNA expression(IL-18/GAPDH):5.8±1.2 vs.3.9±0.6,slow muscle fibers:(44±5)%vs.(31±2)%,NF-κB p65 protein expression(A value):0.87±0.04 vs.0.70±0.07,NLRP3 protein expression(A value):0.75±0.08 vs.0.63±0.04,caspase-1 protein expression(A value):0.99±0.06 vs.0.82±0.08,GSDMD protein expression(Avalue):0.85±0.11 vs.0.61±0.10,Fbxo32 protein expression(Avalue):1.00±0.10 vs.0.78±0.12,all P<0.05].Normal muscle fiber structure was revealed by microscopic observation in the control group,clear fiber separation in the ARDS model group,and disordered muscle fiber arrangement with structural distortion was noted in both low and high-dose DEX groups.Conclusion Prolonged administration of DEX may worsen diaphragmatic atrophy induced by ARDS,possibly by promoting the activation of the NLRP3 inflammasome and cell pyroptosis.

Objective:To analyze the clinical characteristics of a child with Congenital disorder of glycosylation due to compound heterozygous variants of COG6 gene ( COG6-CDG). Methods:A child who was admitted to Xi′an Children′s Hospital on January 10, 2023 was selected as the study subject. Clinical data were collected. Pathogenic variants were analyzed by whole exome sequencing, and candidate variants were verified by Sanger sequencing, in vitro experiments and bioinformatic analysis. This study was approved by the Medical Ethics Committee of Xi′an Children′s Hospital (No. 20230101). Results:The child, a 1-month-8-day-old male, was admitted for diarrhea and weight loss for one month. He had presented with cholestasis, diarrhea, facial dysmorphism, poor response, bilateral Simian crease, and brain atrophy. After discharge, he had continued to have high fever, feeding difficulty, and deceased finally. Whole exome sequencing results showed that he had harbored compound heterozygous variants of the COG6 gene, namely c. 807delT (p.F269Lfs*37) and c. 1746+ 1G>C (p.Gly565_Met582del). Sanger sequencing verified that the variants were inherited from his father and mother, respectively. In vitro experiments verified that the c. 1746+ 1G>C variant could affect the mRNA splicing and produce a truncated protein, whilst the c. 807delT variant could significantly reduce gene expression at both mRNA and protein levels. Based on the guidelines from the American College of Medical Genetics and Genomics and the Association for Molecular Pathology (ACMG-AMP), the variants were classified as pathogenic (PVS1+ PM3+ PM2_Supporting) and likely pathogenic (PVS1+ PM2_Supporting), respectively. Conclusion:The c. 807delT (p.F269Lfs*37) and c. 1746+ 1G>C (p.Gly565_Met582del) compound heterozygous variants of the COG6 gene probably underlay the pathogenesis of this child. Above finding has enriched the mutational spectrum of COG6-CDG and provided a basis for the genetic counseling for this family.

Objective To explore the automated identification and diameter measurement methods for inferior vena cava (IVC) based on clinical ultrasound images of IVC. Methods An automated identification and localization method based on topology and automatic tracking algorithm was proposed. Tracking algorithm was used for identifying and continuously locating to improve the efficiency and accuracy of measurement. Tests were conducted on 18 sets of ultrasound data collected from 18 patients in intensive care unit (ICU),with clinicians' measurements as the gold standard. Results The recognition accuracy of the automated method was 94.44％ (17/18),and the measurement error of IVC diameter was within the range of±1.96s (s was the standard deviation). The automated method could replace the manual method. Conclusion The proposed IVC automated identification and localization algorithm based on topology and automatic tracking algorithm has high recognition success rate and IVC diameter measurement accuracy. It can assist clinicians in identifying and locating IVC,so as to improve the accuracy of IVC measurement.

Objective To propose a classification method for ultrasound images of pedicle screw canals based on radiomics analysis,and to evaluate the integrity of the screw canal.Methods With thoracolumbar spine specimens from 4 fresh cadavers,50 pedicle screw canals were pre-established and ultrasound images of the canals were acquired.A total of 2 000 images(1 000 intact and 1 000 damaged canal samples)were selected.The dataset was randomly divided in a 4∶1 ratio using 5-fold cross-validation to form training and testing sets(consisting of 1 600 and 400 samples,respectively).Firstly,the optimal radius of the region of interest was identified using the Otsu's thresholding method,followed by feature extraction using pyradiomics.Principal component analysis and the least absolute shrinkage and selection operator algorithm were employed for dimensionality reduction and feature selection,respectively.Subsequently,3 machine learning models(support vector machine[SVM],logistic regression,and random forest)and 3 deep learning models(visual geometry group[VGG],ResNet,and Transformer)were used to classify the ultrasound images.The performance of each model was evaluated using accuracy.Results With a region of interest radius of 230 pixels,the SVM model achieved the highest classification accuracy of 96.25%.The accuracy of the VGG model was only 51.29%,while the accuracies of the logistic regression,random forest,ResNet,and Transformer models were 85.50%,80.75%,80.17%,and 75.18%,respectively.Conclusion For ultrasound images of pedicle screw canals,the machine learning model performs better than the deep learning model as a whole,and the SVM model has the best classification performance,which can be used to assist physicians in diagnosis.

Objective:To explore potential predictors of refractory Mycoplasma pneumoniae pneumonia (RMPP) in early stage. Methods:The prospective multicenter study was conducted in Zhejiang, China from May 1 st, 2019 to January 31 st, 2020. A total of 1 428 patients with fever >48 hours to <120 hours were studied. Their clinical data and oral pharyngeal swab samples were collected; Mycoplasma pneumoniae DNA in pharyngeal swab specimens was detected. Patients with positive Mycoplasma pneumoniae DNA results underwent a series of tests, including chest X-ray, complete blood count, C-reactive protein, lactate dehydrogenase (LDH), and procalcitonin. According to the occurrence of RMPP, the patients were divided into two groups, RMPP group and general Mycoplasma pneumoniae pneumonia (GMPP) group. Measurement data between the 2 groups were compared using Mann-Whitney U test. Logistic regression analyses were used to examine the associations between clinical data and RMPP. Receiver operating characteristic (ROC) curves were used to analyse the power of the markers for predicting RMPP. Results:A total of 1 428 patients finished the study, with 801 boys and 627 girls, aged 4.3 (2.7, 6.3) years. Mycoplasma pneumoniae DNA was positive in 534 cases (37.4%), of whom 446 cases (83.5%) were diagnosed with Mycoplasma pneumoniae pneumonia, including 251 boys and 195 girls, aged 5.2 (3.3, 6.9) years. Macrolides-resistant variation was positive in 410 cases (91.9%). Fifty-five cases were with RMPP, 391 cases with GMPP. The peak body temperature before the first visit and LDH levels in RMPP patients were higher than that in GMPP patients (39.6 (39.1, 40.0) vs. 39.2 (38.9, 39.7) ℃, 333 (279, 392) vs. 311 (259, 359) U/L, both P<0.05). Logistic regression showed the prediction probability π=exp (-29.7+0.667×Peak body temperature (℃)+0.004×LDH (U/L))/(1+exp (-29.7+0.667×Peak body temperature (℃)+0.004 × LDH (U/L))), the cut-off value to predict RMPP was 0.12, with a consensus of probability forecast of 0.89, sensitivity of 0.89, and specificity of 0.67; and the area under ROC curve was 0.682 (95% CI 0.593-0.771, P<0.01). Conclusion:In MPP patients with fever over 48 to <120 hours, a prediction probability π of RMPP can be calculated based on the peak body temperature and LDH level before the first visit, which can facilitate early identification of RMPP.