Objective To investigate the expression regulation of autophagy-related genes(ATG)and the mechanism of autophagy in rheumatoid arthritis(RA). Methods The differentially expressed genes(DEG)of RA were identified from GSE55235 and GSE55457,on the basis of which the differentially expressed autophagy-related genes(DE-ATG)were selected from the Human Autophagy Database.STRING 11.0 and GeneMANIA were used to establish protein-protein interaction networks.Further,the transcription factor-gene-miRNA co-expression network was established via NetworkAnalyst and Cytoscape.Finally,receiver operating characteristic(ROC)curve and DrugBank were employed to evaluate the efficacy of the predicted biomarkers and the performance of drugs targeting DE-ATG.GraphPad Prism 8.2.1 and R 4.0.3 were used for statistical analysis and graphics. Results A total of 485 DEG were enriched in signaling pathways such as T cell activation,hormone regulation,osteoclast differentiation,RA,and chemokines.Eleven DE-ATG regulated the expression of RUNX1,TP53,SOX2,and hsa-mir-155-5p in synovial tissues of RA patients and were involved in the response to environmental factors such as 2,3,7,8-tetrachlorodibenzodioxin and silicon dioxide.The ROC curve analysis identified the DE-ATG with good sensitivity and specificity,such as MYC,MAPK8,CDKN1A,and TNFSF10,which can be used to distinguish certain phenotypes and serve as novel biomarkers for RA. Conclusions In RA,down-regulated DE-ATG expression may promote apoptosis and lysis of chondrocytes.The identified novel biomarkers provides new ideas and methods for diagnosing and treating RA.The establishment of transcription factor-miRNA-gene co-expression network provides direct evidence for dissecting synovial inflammation and articular cartilage destruction.

Objective To analyze the risk factors and build a clinical prediction model for hemodynamic depression (HD) after carotid artery stenting (CAS). Methods A total of 116 patients who received CAS in the Department of Vascular Surgery,Drum Tower Clinical College of Nanjing Medical University and the Department of Vascular Surgery,the Affiliated Suqian First People’s Hospital of Nanjing Medical University from January 1,2016 to January 1,2022 were included in this study.The patients were assigned into a HD group and a non-HD group.The clinical baseline data and vascular disease characteristics of each group were collected,and multivariate Logistic regression was employed to identify the independent predictors of HD after CAS and build a clinical prediction model.The receiver operating characteristic (ROC) curve was drawn,and the area under the ROC curve (AUC) was calculated to evaluate the predictive performance of the model. Results The HD group had lower proportions of diabetes (P=0.014) and smoking (P=0.037) and higher proportions of hypertension (P=0.031),bilateral CAS (P=0.018),calcified plaque (P=0.001),eccentric plaque (P=0.003),and the distance<1 cm from the minimum lumen level to the carotid bifurcation (P=0.009) than the non-HD group.The age,sex,coronary heart disease,symptomatic carotid artery stenosis,degree of stenosis,and length of lesions had no statistically significant differences between the HD group and the non-HD group (all P>0.05).Based on the above predictive factors,a clinical prediction model was established,which showed the AUC of 0.807 and the 95% CI of 0.730-0.885 (P<0.001).The model demonstrated the sensitivity of 62.7% and the specificity of 87.7% when the best cut-off value of the model score reached 12.5 points. Conclusions Diabetes,smoking,calcified plaque,eccentric plaque,and the distance<1 cm from the minimum lumen level to the carotid bifurcation are independent predictors of HD after CAS.The clinical prediction model built based on the above factors has good performance in predicting the occurrence of HD after CAS.

Age,a basic marker of the population,is an indispensable demographic characteristic in medicine.However,the grouping in medicine according to age have problems such as inconsistent grouping criteria and ambiguous definition of age-related terms.Therefore,this article reviews the age-based grouping criteria and the application of related terms in medicine.

Objective To clarify the hotspots and trends of multimorbidity research and to provide evidence for further research in China. Methods Papers on multimorbidity were retrieved from PubMed and Web of Science (from inception to August 11,2021).BICOMB and gCLUTO were used for bibliometric and clustering analysis,and CiteSpace was employed for analysis of authors and citations,and burst detection of keywords. Results The research on multimorbidity has been on the rise.Among the authors,Mercer SW published the most papers on this topic and Fortin M was the most cited author.Karolinska Institute topped the institutions in the number of published papers,and the paper published in Lancet by Barnett K in 2012 was the most cited.A total of 75 high-frequency keywords were extracted,on the basis of which seven research hotspots were summarized:epidemiology (including the prevalence and trend),medication (involving polypharmacy,medication compliance,etc.),medical expenditure (including cost and medical services),aging (such as elderly patients,frailty,and disability),psychology (involving mental health,social support,etc.),multimorbidity management (such as the treatment,primary health care,and integrated care),and comorbidity of cardiovascular and metabolic diseases (involving obesity,stroke,diabetes,etc.). Conclusions Multimorbidity is concerned as a major health threat and public health problem worldwide.The management of multimorbidity is more complex than that of one disease,which thus faces more challenges.Therefore,researchers,health care providers,and policy-makers should underscore it.

As the incidence of diabetes mellitus is rapidly increasing worldwide,that of related complications,such as diabetic kidney disease(DKD),also increases,conferring a heavy economic burden on the patients,families,society,and government.Diabetes mellitus complicated with chronic kidney disease(CKD)includes DKD and the CKD caused by other reasons.Because of the insufficient knowledge about CKD,the assessment of diabetes mellitus complicated with CKD remains to be improved.The therapies for diabetes mellitus complicated with CKD focus on reducing the risk factors.In clinical practice,DKD may not be the CKD caused by diabetes.According to clinical criteria,some non-diabetic kidney disease may be misdiagnosed as DKD and not be treated accurately.This review summarizes the status quo and research progress in the assessment,diagnosis,and treatment of diabetes mellitus complicated with CKD and predicts the directions of future research in this field.

Circular RNAs (circRNAs),a group of highly conserved small RNAs,are characterized by a closed circular structure from precursor linear RNA through reverse splicing.They are powerful regulators of the physiological and pathological processes in organisms at different development stages.Zebrafish can be used for the high-throughput drug screening with low cost.Thus,the circRNAs associated with development and inflammation can be mined from zebrafish.Recently,a variety of circRNAs in zebrafish have been identified and characterized.Studies have proved that circRNAs play a vital role in the development and inflammation of zebrafish.The paper summarizes the classification,characteristics,and biological functions of circRNAs,and reviews the research progress in zebrafish’s circRNAs.

Objective To screen the potential key genes of osteosarcoma by bioinformatics methods and analyze their immune infiltration patterns. Methods The gene expression profiles GSE16088 and GSE12865 associated with osteosarcoma were obtained from the Gene Expression Omnibus(GEO),and the differentially expressed genes(DEGs)related to osteosarcoma were screened by bioinformatics tools.Gene Ontology(GO)annotation,Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment,and analysis of immune cell infiltration were then carried out for the DEGs.The potential Hub genes of osteosarcoma were identified by protein-protein interaction network,and the expression of Hub genes in osteosarcoma and normal tissue samples was verified via the Cancer Genome Atlas(TCGA). Results A total of 108 DEGs were screened out.GO annotation and KEGG pathway enrichment revealed that the DEGs were mainly involved in integrin binding,extracellular matrix (ECM) structural components,ECM receptor interactions,and phosphatidylinositol 3-kinase/protein kinase B(PI3K/Akt)signaling pathway.Macrophages were the predominant infiltrating immune cells in osteosarcoma.Secreted phosphoprotein 1(SPP1),matrix metallopeptidase 2(MMP2),lysyl oxidase(LOX),collagen type V alpha(II)chain(COL5A2),and melanoma cell adhesion molecule(MCAM)presented differential expression between osteosarcoma and normal tissue samples(all P<0.05). Conclusions SPP1,MMP2,LOX,COL5A2,and MCAM are all up-regulated in osteosarcoma,which may serve as potential biomarkers of osteosarcoma.Macrophages are the key infiltrating immune cells in osteosarcoma,which may provide new perspectives for the treatment of osteosarcoma.

Ferroptosis is a new type of programmed cell death different from other cell death pathways such as apoptosis,autophagy,necrosis,and pyroptosis in terms of initiation,mechanisms,and molecular characteristics.As the accumulation of phospholipid hydroperoxides is the hallmark of ferroptosis,the balance between oxidative damage and antioxidant defense is critical to the regulatory mechanism of ferroptosis.In cancer,the upregulation of antioxidant defense pathways can inhibit ferroptosis,thereby promoting cancer cells to survive the oxidative stress and develop drug resistance.This review systematically introduces the main features and regulatory mechanisms of ferroptosis.In addition,we summarize the role of ferroptosis in the progression and drug resistance of malignant tumors,providing novel implications for further research on the pathogenesis of malignant tumors and discovery of new targets for anti-cancer therapy.

Objective To screen out the key genes leading to diabetic cardiomyopathy by analyzing the mRNA array associated with diabetic cardiomyopathy in the GEO database. Methods The online tool GEO2R of GEO was used to mine the differentially expressed genes (DEG) in the datasets GSE4745 and GSE5606.R was used to draw the volcano map of the DEG,and the Venn diagram was established online to identify the common DEG shared by the two datasets.The clusterProfile package in R was used for gene ontology annotation and Kyoto encyclopedia of genes and genomes pathway enrichment of the DEG.GSEA was used for gene set enrichment analysis,and STRING for the construction of a protein-protein interaction network.The maximal clique centrality algorithm in the plug-in Cytohubba of Cytoscape was used to determine the top 10 key genes. The expression of key genes was studied in the primary cardiomyocytes of rats and compared between the normal control group and high glucose group. Results The expression of Pdk4,Ucp3,Hmgcs2,Asl6,and Slc2a4 was consistent with the array analysis results.The expression of Pdk4,Ucp3,and Hmgcs2 was up-regulated while that of Acsl6 and Slc2a4 was down-regulated in the cardiomyocytes stimulated by high glucose (25 mmol/L) for 72 h. Conclusion Pdk4,Ucp3,Hmgcs2,Asl6,and Slc2a4 may be associated with the occurrence and development of diabetic cardiomyopathy,and may serve as the potential biomarkers of diabetic cardiomyopathy.

Objective To explore the relationship between insulin resistance (IR) indexes and hyperuricemia (HUA) among the people with hypertension. Methods From July to August in 2018,hypertension screening was carried out in Wuyuan county,Jiangxi province,and the data were collected through questionnaire survey,physical measurement,and biochemical test.Logistic regression was performed to analyze the relationship between HUA and IR indexes including metabolic score for IR (METS-IR),triglyceride-glucose (TyG) index,TyG-body mass index (BMI),TyG-waist circumference (WC),visceral adiposity index (VAI),triglyceride (TG)/high-density lipoprotein cholesterol (HDL-C),and lipid accumulation product (LAP).The penalty spline method was used for the curve fitting between IR indexes and HUA.The area under the receiver operating characteristic curve (AUC) was employed to reveal the correlation between each index and HUA. Results The 14 220 hypertension patients included 6 713 males and 7 507 females,with the average age of (63.8±9.4) years old,the average uric acid level of (418.9±120.6) mmol/L,and the HUA detection rate of 44.4%.The HUA group had higher proportions of males,current drinking,current smoking,diabetes,and using antihypertensive drugs,older age,higher diastolic blood pressure,WC,BMI,homocysteine,total cholesterol,TG,low-density lipoprotein cholesterol,blood urea nitrogen,creatinine,aspartate aminotransferase,alanine aminotransferase,total protein,albumin,total bilirubin,direct bilirubin, METS-IR, TyG, TyG-BMI, TyG-WC, VAI, TG/HDL-C, and LAP, and lower systolic blood pressure and HDL-C than the normal uric acid group (all P<0.05).Multivariate Logistic regression showed that METS-IR (OR=1.049,95%CI=1.038-1.060, P<0.001), TyG (OR=1.639,95%CI=1.496-1.797, P<0.001), TyG-BMI (OR=1.008,95%CI=1.006-1.010, P<0.001), TyG-WC (OR=1.003,95%CI=1.002-1.004, P<0.001), lnVAI (OR=1.850, 95%CI=1.735-1.973, P<0.001), ln(TG/HDL-C) (OR=1.862,95%CI=1.692-2.048, P<0.001),and lnLAP (OR=1.503,95%CI=1.401-1.613,P<0.001) were associated with the risk of HUA.Curve fitting indicated that METS-IR,TyG,TYG-BMI,TYG-WC,lnVAI,ln(TG/HDL-C),and lnLAP were positively correlated with HUA (all P<0.001),and the AUC of TyG index was higher than that of other IR indexes (all P<0.05). Conclusion Increased IR indexes,especially TyG,were associated with the risk of HUA among people with hypertension.

Clinical genomics mainly studies the clinical application of genomics in diagnosis,treatment decision,and prognosis prediction.Artificial intelligence enables the processing of complex and massive data in genomics which are difficult to be dealt with traditional algorithms and techniques.At present,artificial intelligence is involved in many tasks of clinical genomics,such as variant calling and classification,imaging and genetic diagnosis,electronic health record-based genetic diagnosis,and prediction of drug effect and adverse reaction.This review elaborates the application of artificial intelligence in different aspects of clinical genomics.

Air pollution has severe detrimental effects on public health.A substantial number of studies have demonstrated that air pollution exposure is a risk factor for the occurrence of cardiovascular and cerebrovascular diseases and a cause of non-communicable diseases.Both long-term and short-term exposure to air pollution are associated with respiratory diseases,stroke,coronary artery disease,and diabetes.Aiming to better understand the association,we reviewed the latest studies about the association of air pollution with cardiovascular and cerebrovascular diseases,especially stroke,coronary heart disease,arrhythmia,hypertension,and heart failure,and summarized the underlying mechanisms of the health damage caused by long-term and short-term exposure to air pollution.

Sarcopenia is a common geriatric syndrome associated with the occurrence of adverse consequences such as falls,debility,and death,seriously affectingthe quality of life of the elderly.Oral health as the basis of the overall health plays a vital role in improving the overall quality of life and extending the healthy life span of the elderly.Studies have demonstrated that poor oral health may increase the risk of sarcopenia.By reviewing the recent studies about oral health and sarcopenia in the elderly,we summarize the related mechanisms and put forward some intervention measures,so as to provide a theoretical basis for the prevention and treatment of sarcopenia from the aspect of oral health.

Objective To develop a risk prediction model combining pre/intraoperative risk factors and intraoperative vital signs for postoperative healthcare-associated infection(HAI)based on deep learning. Methods We carried out a retrospective study based on two randomized controlled trials(NCT02715076,ChiCTR-IPR-17011099).The patients who underwent elective radical resection of advanced digestive system tumor were included in this study.The primary outcome was HAI within 30 days after surgery.Logistic regression analysis and long short-term memory(LSTM)model based on iteratively occluding sections of the input were used for feature selection.The risk prediction model for postoperative HAI was developed based on deep learning,combining the selected pre/intraoperative risk factors and intraoperative vital signs,and was evaluated by comparison with other models.Finally,we adopted the simulated annealing algorithm to simulatively adjust the vital signs during surgery,trying to explore the adjustment system that can reduce the risk of HAI. Results A total of 839 patients were included in this study,of which 112(13.3%)developed HAI within 30 days after surgery.The selected pre/intraoperative risk factors included neoadjuvant chemotherapy,parenteral nutrition,esophagectomy,gastrectomy,colorectal resection,pancreatoduodenectomy,hepatic resection,intraoperative blood loss>500 ml,and anesthesia time>4 h.The intraoperative vital signs significantly associated with HAI were in an order of heart rate>core body temperature>systolic blood pressure>diastolic blood pressure.Compared with multivariable Logistic regression model,random forest model,and LSTM model including vital signs only,this deep learning-based prediction model performed best(ACC=0.733,F1=0.237,AUC=0.728).The simulation via simulated annealing algorithm reduced the incidence of postoperative HAI.Moreover,the incidence decreased most in the case of reducing the initial annealing temperature and choosing the last 20% of surgery procedure. Conclusions This study developed a risk prediction model for postoperative HAI based on deep learning,which combined pre/intraoperative risk factors and intraoperative basic vital signs.Using simulated annealing algorithm to adjust intraoperative vital signs could reduce the incidence of postoperative HAI to some extent.

The fatty acid desaturase 2 (FADS2) gene encodes delta-6 desaturase (D6D) and is a member of the fatty acid desaturase gene family.D6D is the key enzyme catalyzing the transformation of linoleic acid and α-linolenic acid to long-chain polyunsaturated fatty acid (LC-PUFA).LC-PUFA play a crucial role in regulating the glycolipid metabolism of living organisms.In recent years,the activity of D6D and the single nucleotide polymorphism (SNP) of FADS2 gene have become a hot topic in the research on glycolipid metabolism.This article reviews the role of FADS2 gene in glycolipid metabolism.

Insulin resistance (IR) is a pathological reaction of hyperinsulinemia and impaired glucose tolerance caused by decreased sensitivity of target tissues such as liver to insulin.The pathogenesis of IR as a typical pathological feature of type 2 diabetes is the focus of anti-diabetes research.In this paper,we reviewed the molecular mechanisms of glucose and lipid metabolism,oxidative stress,mitochondrial dysfunction,endoplasmic reticulum stress,inflammation,and hepatic IR in the case of type 2 diabetes mellitus,which might provide new ideas and theoretical guidance for the treatment of diabetes mellitus.

To improve the diagnosis of atypical lymphocytes and reduce the misdiagnosis rate,we analyzed the medical records of 2 cases with cell morphology suggestive of atypical lymphocytes.One case was diagnosed with infectious mononucleosis and the other with aggressive NK cell leukemia.The purpose of this paper is to emphasize that the diagnosis of atypical lymphocytes based only on morphological interpretation of cells may be incorrect,which should be combined with clinical symptoms,signs,imaging examination,cell immunophenotype,and disease outcome.

Objective To evaluate the accuracy of different convolutional neural networks (CNN),representative deep learning models,in the differential diagnosis of ameloblastoma and odontogenic keratocyst,and subsequently compare the diagnosis results between models and oral radiologists. Methods A total of 1000 digital panoramic radiographs were retrospectively collected from the patients with ameloblastoma (500 radiographs) or odontogenic keratocyst (500 radiographs) in the Department of Oral and Maxillofacial Radiology,Peking University School of Stomatology.Eight CNN including ResNet (18,50,101),VGG (16,19),and EfficientNet (b1,b3,b5) were selected to distinguish ameloblastoma from odontogenic keratocyst.Transfer learning was employed to train 800 panoramic radiographs in the training set through 5-fold cross validation,and 200 panoramic radiographs in the test set were used for differential diagnosis.Chi square test was performed for comparing the performance among different CNN.Furthermore,7 oral radiologists (including 2 seniors and 5 juniors) made a diagnosis on the 200 panoramic radiographs in the test set,and the diagnosis results were compared between CNN and oral radiologists. Results The eight neural network models showed the diagnostic accuracy ranging from 82.50% to 87.50%,of which EfficientNet b1 had the highest accuracy of 87.50%.There was no significant difference in the diagnostic accuracy among the CNN models (P=0.998,P=0.905).The average diagnostic accuracy of oral radiologists was (70.30±5.48)%,and there was no statistical difference in the accuracy between senior and junior oral radiologists (P=0.883).The diagnostic accuracy of CNN models was higher than that of oral radiologists (P<0.001). Conclusion Deep learning CNN can realize accurate differential diagnosis between ameloblastoma and odontogenic keratocyst with panoramic radiographs,with higher diagnostic accuracy than oral radiologists.

Community-based home hospice care provided by community service centers and family physician teams aims to alleviate the suffering of terminally ill patients and help them to receive end-of-life care and pass away at home.The Puhuangyu Community Health Service Center established the home hospice care model of PUMCH-Puhuangyu Coordination at the end of 2019.The model has been practiced and improved to date.This paper introduces this model of home hospice care.

Aplastic anemia (AA) and myelodysplastic syndrome (MDS) are clonal diseases with hemopoietic stem cell (HSC) abnormalities,which are sometimes difficult to be distinguished from each other.The development of molecular detection techniques has facilitated our understanding of the molecular pathogenesis of the two diseases.This article reviewed the somatic mutation (SM) and cytogenetic changes of AA,and analyzed their molecular relationship with MDS and their roles in disease transformation.The most common somatic change in AA is the loss of PIGA and HLA alleles,which,along with trisomy 8 and del(13q),is related to the immune pathogenesis of AA.Among the 5 most common mutations in AA,PIGA and BCOR/BCORL1 mutations are related to a good prognosis,while DNMT3A and ASXL1 mutations are likely associated with clonal evolution and a poor prognosis.The risk factors for secondary MDS after AA include SM and cytogenetic changes such as del(7q) associated with poor prognosis,prolonged disease duration after diagnosis,onset age of AA,and leukocyte telomere attrition.Although role of SM in disease progression remains unclear because of its dynamic change and unknown significance,prognostic assessment based on the monitoring of SM and clinical features may guide the treatment.

Abdominal aortic aneurysm is defined as a dilated aorta with a diameter at least 1.5 times of the normal aorta.There is no effective drug for AAA.We summarized the high-risk factors,pathologic features,current therapies,and animal models in the pre-clinical study to gain comprehensive understanding of AAA.With this review,we aim to provide scientific support for the mining of therapeutic targets for AAA.

Objective To measure the prevalence of mental health symptoms and identify the associated factors among college students at the beginning of coronavirus disease 2019(COVID-19)outbreak in China. Methods We carried out a multi-center cross-sectional study via snowball sampling and convenience sampling of the college students in different areas of China.The rates of self-reported depression,anxiety,and stress and post-traumatic stress disorder(PTSD)were assessed via the 21-item Depression-Anxiety-Stress Scale(DASS-21)and the 6-item Impact of Event Scale-Revised(IES-6),respectively.Covariates included sociodemographic characteristics,health-related data,and information of the social environment.Data pertaining to mental health service seeking were also collected.Multivariate Logistic regression analyses were performed to identify the risk factors. Results A total of 3641 valid questionnaires were collected from college students.At the beginning of the COVID-19 outbreak,535(14.69%)students had negative emotions,among which 402(11.04%),381(10.49%),and 171(4.90%)students had the symptoms of depression,anxiety,and stress,respectively.Meanwhile,1245(34.19%)college students had PTSD.Among the risk factors identified,male gender was associated with a lower likelihood of reporting depression symptoms(AOR=0.755,P=0.037],and medical students were at higher risk of depression and stress symptoms than liberal arts students(AOR=1.497,P=0.003;AOR=1.494,P=0.045).Family support was associated with lower risks of negative emotions and PTSD in college students(AOR=0.918,P<0.001;AOR=0.913,P<0.001;AOR=0.899,P<0.001;AOR=0.971,P=0.021). Conclusions College students were more sensitive to public health emergencies,and the incidence of negative emotions and PTSD was significantly higher than that before the outbreak of COVID-19.More attention should be paid to female college students who were more likely to develop negative emotions.We should strengthen positive and proper propaganda via mass media and help college students understand the situation and impact of COVID-19.Furthermore,we should enhance family support for college students.The government and relevant agencies need to provide appropriate mental health services to the students under similar circumstances to avoid the deterioration of their mental well-being.

Arterial cannulation can be used to monitor blood pressure in real time and facilitate frequent arterial blood gas analysis.It is one of the commonly used clinical techniques in anesthesia,emergency,and intensive care units.Studies have demonstrated that ultrasound guidance can increase the success rate of arterial cannulation and reduce the incidence of related complications.In recent years,ultrasound guidance technology has developed rapidly and is increasingly used in clinical practice.This article reviews the latest advances in the application of ultrasound guidance in radial artery cannulation.

Multiple myeloma is a hematologic tumor characterized by clonal proliferation of plasma cells.The development of novel agents and immunotherapy have substantially improved the prognosis of multiple myeloma,with an expectable median survival beyond ten years.Therefore,there is an urgent need to improve the management of this disease.Health management is effective in controlling chronic diseases and full-cycle management should be implemented from the early to the end stage of the disease.Implanting the full-cycle concept into the health management of multiple myeloma will guide and standardize the advances in this field.This review focuses on the full-cycle concept of multiple myeloma and the corresponding application of health management at each stage of the cycle.

Studies have demonstrated that the occurrence of a variety of arrhythmias presents an obvious circadian rhythm,which may be regulated by circadian rhythm genes.Circadian cycle and light stimulation can affect circadian rhythm genes and proteins,which constitute a transcription-translation loop that can regulate the ion channels in myocardial cell membrane through nervous-humoral regulation and changes in central clock-sub-clock gene expression,thereby modulating arrhythmia.This article reviews the molecular basis,mechanism,and performance of circadian rhythm in regulating arrhythmia.

Mechanical stimulus is critical to cardiovascular development during embryogenesis period.The mechanoreceptors of endocardial cells and cardiac myocytes may sense mechanical signals and initiate signal transduction that induce gene expression at a cellular level,and then translate molecular-level events into tissue-level deformations,thus guiding embryo development.This review summarizes the regulatory roles of mechanical signals in the early cardiac development including the formation of heart tube,looping,valve and septal morphogenesis,ventricular development and maturation.Further,we discuss the potential mechanical transduction mechanisms of platelet endothelial cell adhesion molecule 1-vascular endothelial-cadherin-vascular endothelial growth factor receptor 2 complex,primary cilia,ion channels,and other mechanical sensors that affect some cardiac malformations.

Objective To investigate the effects of Weidiao-3(WD-3)Mixture on the clinical efficacy of immunotherapy for advanced gastric cancer and the intestinal flora.Methods Fifty-one patients with advanced gastric cancer treated in Wuxi Traditional Chinese Medicine Hospital from January 2020 to December 2021 were randomized into a WD-3 group(immunotherapy + WD-3 Mixture,one dose per day)(n=25)and a gastric cancer(GC) group(only immunotherapy)(n=26)according to the admission time.Ten healthy volunteers were included as the healthy control group.The Karnofsky score and the Quality of Life Questionnare-Core score were evaluated before and after treatment,and the clinical efficacy was compared after treatment.After treatment,the stool samples were collected for 16SrRNA gene high-throughput sequencing and targeted metabolomics.The α and β diversity and structure of the intestinal flora and the content of short-chain fatty acids were compared between groups.Results The quality of life in both groups improved after treatment and was better in the WD-3 group than in the GC group(P=0.035).The dry mouth(P=0.038)and altered taste(P=0.008)were mitigated in the WD-3 group after treatment,and the reflux(P=0.001)and dry mouth(P=0.022)were mitigated in the GC group after treatment.After treatment,the WD-3 group outperformed the GC group in terms of dysphagia(P=0.047)and dry mouth(P=0.045).The WD-3 group was superior to the GC group in terms of objective remission rate and disease control rate,with prolonged median progression-free survival and median overall survival(P=0.039,P=0.043).The α and β diversity indexes of the intestinal flora showed no significant differences between WD-3 and GC groups(all P>0.05).At the phylum level,WD-3 and GC groups had lower relative abundance of Firmicutes(P=0.038,P=0.042)and higher relative abundance of Proteobacteria(P=0.016,P=0.015)than the healthy control group.The relative abundance of Actinomycetes in the GC group was lower than that in the healthy control group(P=0.035)and the WD-3 group(P=0.046).At the genus level,the GC group had lower relative abundance of Bifidobacteria and Coprococcus than the healthy control group and the WD-3 group(all P<0.001).LEfSe revealed the differences in the relative abundance of 6 intestinal bacterial taxa between the WD-3 group and the GC group.At the genus level,Saccharopolyspora had higher relative abundance in the WD-3 group than in the healthy control group and only existed in the WD-3 group.The content of isobutyric acid and isovaleric acid in the WD-3 group was higher than that in the healthy control group(P=0.037,P=0.004).Conclusion WD-3 Mixture may increase the relative abundance of Bifidobacteria and Coprococcus and the content of isobutyric acid and isovaleric acid to alter the intestinal microecology,thereby improving the efficacy of immunotherapy for gastric cancer.

Objective To investigate the level of serum uric acid in patients with diabetes insipidus (DI),summarize the clinical characteristics of central diabetes insipidus (CDI) patients with hyperuricemia (HUA),and analyze the factors affecting the level of serum uric acid in the patients with CDI. Methods The clinical data of DI patients admitted to Peking Union Medical College Hospital from 2018 to 2021 were retrospectively analyzed.The patients were assigned into a child and adolescent group (≤ 18 years old) and an adult group (>18 years old) according to their ages.The demographic and biochemical data between two groups of patients with and without HUA were compared.Spearman correlation analysis and multiple linear regression analysis were performed to analyze the correlations between serum uric acid level and other factors. Results Among the 420 DI patients,411 patients had CDI (97.9%),including 189 patients with HUA (46.0%).Thirteen (6.9%) out of the 189 CDI patients with HUA presented the disappearance of thirst.The prevalence of HUA in children and adolescents was higher than that in adults (χ²=4.193,P=0.041).The level of serum uric acid in the CDI patients with HUA and disappearance of thirst was higher than those without disappearance of thirst (U=2.593, P=0.010).The multiple linear regression predicted serum creatinine (β=0.472,95%CI=2.451-4.381, P<0.001) and body mass index (β=0.387,95%CI=6.18-12.874, P<0.001) as the independent risk factors of serum uric acid level increment in children and adolescents,while serum creatinine ( β=0.361, 95%CI=1.016-1.785, P<0.001),body mass index (β=0.208, 95%CI=2.321-6.702, P<0.001),triglyceride ( β=0.268, 95%CI=12.936-28.840, P<0.001 ),and total cholesterol ( β=0.129, 95%CI=2.708-22.250, P=0.013 ) were the independent risk factors in adults. Conclusions The patients with CDI were more likely to have HUA,and the prevalence of HUA in children and adolescents was higher than that in adults.Body mass index,serum creatinine,triglyceride,total cholesterol,and disappearance of thirst were the risk factors for the increased level of serum uric acid in CDI patients.

Visually induced motion sickness(VIMS)is the major barrier to be broken in the development of virtual reality(VR)technology,which seriously affects the progress in the VR industry.Therefore,the detection and evaluation of VIMS has become a hot research topic nowadays.We review the progress in physiological assessment of VIMS in VR based on several physiological indicators,including electroencephalogram(EEG),postural sway,eye movements,heart rate variability,and skin electrical signals,and summarize the available therapies,aiming to provide an outlook on the future research directions of VIMS.

Circular RNA (circRNA) is a special group of non-coding RNA.Unlike linear RNA,circRNA is a closed circular structure formed by reverse splicing of pre-mRNA,with highly stable expression and wide distribution in eukaryotes.CircRNA has multiple functions by acting as microRNA sponges or binding with RNA-binding proteins.They can be used as biomarkers for many diseases.The latest research shows that circRNA plays a role in the pathogenesis of diabetes mellitus and the related chronic complications.In this review,we summarized the current progress and underlying mechanisms of circRNA in diabetes mellitus and the related complications.

Objective To analyze the clinical characteristics of collagenous gastritis (CG) and provide evidence for the precise diagnosis and treatment of CG.Methods Published case reports and case series were collected from PubMed,CNKI,and Wanfang Med Online with the key words of collagenous gastritis,collagenous gastroduodenitis,collagenous gastrointestinal diseases,and gastric mucosal nodules.The demographic and clinical information of each case was collected.Results According to the extent of collagen deposition in the digestive tract,94 CG cases included in this study were assigned into upper digestive tract (UDT)-CG,total digestive tract (TDT)-CG and other groups.The UDT-CG group included 52 cases (57.69% females and 42.31% males) with a median age of 14.50 (11.00,25.75) years old.There were 17 cases in the TDT-CG group,including 70.59% females and 29.41% males,with a median age of 15.00 (9.50,48.50) years old.The other group contained 25 cases,(64.00% females and 36.00% males) with a median age of 25.00 (15.50,59.50) years old.The main clinical manifestations in the UDT-CG group were anemia (59.62%) and diarrhea (17.31%),and those in the TDT-CG group were anemia (29.41%) and diarrhea (94.12%).The nodular appearance of gastric mucosa was observed in 75.00% cases in the UDT-CG group and 35.29% cases in the TDT-CG group.In the initial treatment,symptomatic therapy and hormonal therapy respectively relieved the symptoms in 75.00% (30/40) and 100% (3/3) cases in the UDT-CG group and 57.14% (4/7) and 83.33% (5/6) cases in the TDT-CG group.In the retreatment,symptomatic therapy and hormone therapy respectively achieved the remission rates of 100.00% (3/3) and 88.89% (8/9) in the UDT-CG group and 80.00% (4/5) and 66.67% (2/3) in the TDT-CG group.Conclusions CG,a rare disease of gastric collagen deposition,mainly occurs in young patients,and females are more susceptible than males.The clinical manifestations of CG are nonspecific,and anemia,abdominal pain,diarrhea,weight loss,and gastrointestinal bleeding are the common symptoms of CG.Nodular appearance of gastric mucosa is a relatively specific endoscopic feature of CG.There is no standardized treatment for CG.Symptomatic treatment is commonly adopted to improve the quality of life of the patients,and hormones can be added when necessary.

Dexmedetomidine is an α2 adrenoceptor agonist and has cardioprotective effect,the mechanism of which is being studied.Increasing studies have proved the clinical value of dexmedetomidine in reducing postoperative complications and improving the prognosis of patients.Therefore,this review summarizes the cardiac protection mechanism of dexmedetomidine based on the existing studies and expounds the application of dexmedetomidine in the perioperative period of cardiovascular surgery.

Although the development of novel drugs has significantly improved the survival of patients with multiple myeloma (MM) over the past decades,the lack of effective therapeutic options for relapsed and refractory MM results in poor prognosis.The chimeric antigen receptor (CAR) T-cell therapy has achieved considerable progress in relapsed and refractory MM.Nevertheless,this therapy still has limitations such as cytokine release syndrome,neurotoxicity,and off-target effects.Natural killer (NK) cells,as a critical component of the innate immune system,play an essential role in tumor immunosurveillance.Therefore,CAR-modified NK (CAR-NK) cells are put forward as a therapeutic option for MM.The available studies have suggested that multiple targets can be used as specific therapeutic targets for CAR-NK cell therapy and confirmed their antitumor effects in MM cell lines and animal models.This review summarizes the anti-tumor mechanisms,biological characteristics,and dysfunction of NK cells in the MM tumor microenvironment,as well as the basic and clinical research progress of CAR-NK cells in treating MM.

Objective To investigate the inhibitory effect of ginsenoside Rg3 combined with cisplatin (DDP) on DDP-resistant cell line SGC-7901/DDP and their molecular mechanism.Methods SGC-7901/DDP cells were divided into four groups including a control group,a ginsenoside Rg3 (40 μg/ml) treatment group,a DDP (1.40 μg/ml) treatment group,and a drug combination treatment group.The proliferation ability of SGC-7901/DDP cells was detected by MTT,EdU,and colony formation assays.The apoptosis ability of SGC-7901/DDP cell was detected by flow cytometry and Hoechst 33342 staining.The protein levels of apoptosis-related markers were detected by Western blotting.The migration ability of SGC-7901/DDP cells was detected by wound healing and Transwell assays.The expression levels of proteins in epithelial-mesenchymal transformation (EMT) and Wnt/β-catenin signaling pathway were determined by Western blotting and immunofluorescence staining.Results Compared with the ginsenoside Rg3 or the DDP treatment groups,the drug combination treatment group inhibited the proliferation (t=8.062,P=0.001;t=7.090,P=0.002),colony formation (t=8.062,P=0.001;t=6.144,P=0.004),and migration (t=7.424,P=0.002;t=4.317,P=0.013),and promoted the apoptosis (t=5.530,P=0.031;t=6.036,P=0.026) of SGC-7901/DDP cells.Compared with the ginsenoside Rg3 and the DDP treatment groups,the drug combination treatment group down-regulated the expression levels of EMT-associated proteins including vimentin (t=24.450,P<0.001;t=14.750,P<0.001),Snail (t=29.640,P<0.001;t=70.700,P<0.001),Slug (t=89.230,P<0.001;t=87.360,P<0.001),matrix metalloproteinase (MMP) 2 (t=84.540,P<0.001;t=67.120,P<0.001),and MMP9 (t=19.010,P<0.001;t=10.890,P<0.001),as well as those of Wnt/β-catenin signaling pathway related proteins including Wnt (t=35.480,P<0.001;t=14.670,P<0.001),β-catenin (t=155.800,P<0.001;t=118.100,P<0.001),C-myc (t=20.870,P<0.001;t=3.334,P=0.029),and cyclin D1 (t=5.007,P=0.008;t=8.347,P=0.001).Meanwhile,it up-regulated the expression of epithelial cells including E-cadherin (t=36.450,P<0.001;t=33.810,P<0.001) and ZO-1 (t=37.060,P<0.001;t=37.030,P<0.001).Conclusion Ginsenoside Rg3 enhanced the sensitivity of SGC-7901/DDP cells to DDP by inhibiting the activity of Wnt/β-catenin signaling pathway.

Objective To investigate the pathogen distribution,imaging characteristics,and risk factors of pulmonary infection with multi-drug resistant organism (MDRO) in patients with severe craniocerebral injury,and establish and verify the risk prediction model. Methods A total of 230 patients with severe craniocerebral injury complicated with pulmonary infection were collected retrospectively.According to the 7∶3 ratio,they were randomly assigned into a modeling group (161 patients) and a validation group (69 patients).The risk factors of MDRO pulmonary infection were predicted with the data of the modeling group for the establishment of the risk prediction model.The data of the validation group was used to validate the performance of the model. Results Among the 230 patients,68 patients developed MDRO pulmonary infection.The isolated drug-resistant bacteria mainly included multi-drug resistant Acinetobacter baumannii,multi-drug resistant Klebsiella pneumoniae,multi-drug resistant Pseudomonas aeruginosa,and methicillin-resistant Staphylococcus aureus,which accounted for 45.21%,23.29%,16.44%,and 15.07%,respectively.The imaging characteristics included pleural effusion,lung consolidation,and ground-glass shadow,which accounted for 72.06%,63.24%,and 45.59%,respectively.Multivariate Logistic regression analysis showed that the independent risk factors for MDRO pulmonary infection included age ≥60 years (P=0.003),history of diabetes (P=0.021),history of chronic obstructive pulmonary disease (P=0.038),mechanical ventilation ≥7 d (P=0.001),transfer from other hospitals (P=0.008),and coma (P=0.002).A risk scoring model was established with the β value (rounded to the nearest integer) corresponding to each index in the regression equation.Specifically,the β values of age ≥60 years,history of diabetes,history of chronic obstructive pulmonary disease,mechanical ventilation ≥7 d,transfer from other hospitals,and coma were 1,1,1,2,2,and 1,respectively (value ≥4 indicated a high-risk population).The areas under the receiver operating characteristic curve of the modeling group and validation group were 0.845 and 0.809,respectively. Conclusions Multi-drug resistant Acinetobacter baumannii is the most common pathogen of MDRO pulmonary infection in patients with severe craniocerebral injury.Pleural effusion,lung consolidation,and ground-glass shadow were the most common imaging characteristics.The established risk model has high discriminant validity in both the modeling group and the validation group.

Mucins,a family of heavily glycosylated proteins,present mainly in epithelial cells.They function as essential barriers for epithelium and play important roles in cellular physiological processes.Aberrant expression and glycosylation of mucins in gastric epithelium occur at pathological conditions,such as Helicobacter pylori infection,chronic atrophic gastritis,intestinal metastasis,dysplasia,and gastric cancer.This review addresses the major roles played by mucins and associated O-glycan structures in normal gastric epithelium.Further,we expound the alterations of expression patterns and glycan signatures of mucins at those pathological conditions.

The incidence and severity of coronavirus disease 2019(COVID-19) have significant gender differences.Males are more likely to contract severe acute respiratory syndrome coronavirus 2(SARS-CoV-2) than the age-matched females.The virus uses angiotensin-converting enzyme 2(ACE2) receptors to enter human cells.In addition to infecting the respiratory system,ACE2 can also attack the digestive system,nervous system,immune system and so on,due to the various levels of expression in multiple human organs.The testes are one of the ACE2-rich organs.SARS-CoV-2 has been detected in the semen of some COVID-19 patients,which suggests that SARS-CoV-2 may damage the male reproductive system.However,the damage mechanism remains to be studied.The available studies focus on the short-term effect of SARS-CoV-2 on male reproduction and increasing attention has been paid to the long-term effect.This paper briefly describes the possible mechanisms of reproductive cell damage,hypogonadism,and testicular inflammation mediated by SARS-CoV-2 in male COVID-19 patients and points out the existing problems in the current studies,which will broaden the thinking for deciphering the mechanism of reproductive system damage in male COVID-19 patients.

The breast cancer diagnosed in the women at or above age 70 is defined as breast cancer in the elderly.As the population keeps aging,breast cancer in the elderly presents increasing incidence and high mortality.Early detection,early diagnosis,and early treatment might improve the prognosis of these patients. Comprehensively evaluating the functional age of elderly patients is essential for the individualized treatment. Medical imaging plays a key role in the screening,early diagnosis,therapy selection,evaluation of neoadjuvant therapy efficacy,and postoperative follow-up.We reviewed the current literature and focused on the role of medical imaging in the diagnosis and treatment recommendations for breast cancer in the elderly.

Programmed necrosis,a mode of cell death independent of Caspase,is mainly mediated by receptor-interacting protein kinase-1 (RIPK1),receptor-interacting protein kinase-3 (RIPK3),and mixed lineage kinase domain-like protein (MLKL).Studies have demonstrated that programmed necrosis has the dual role of promoting and inhibiting tumor growth and thus we can control the development of tumor by regulating programmed necrosis.The drugs capable of inducing programmed necrosis show potential anti-tumor activity.In addition,inducing programmed necrosis is an effective way to overcome tumor resistance to apoptosis.This paper summarized the mechanisms of programmed necrosis and its relationship with tumors.We focused on the antitumor activity of programmed necrosis inducers including natural products,chemotherapeutic drugs,death receptor ligands,kinase inhibitors,inorganic salts,metal complexes,and metal nanoparticles.These agents will provide new therapeutic candidates for the treatment of tumors,especially the tumors acquiring resistance to apoptosis.

The incidence of obstructive sleep apnea (OSA) is higher in pregnancy than in non-pregnancy,and obesity is a major risk factor.OSA in pregnancy can lead to multiple organ dysfunction and is associated with hypertensive disorders in pregnancy,gestational diabetes mellitus,premature birth,and fetal growth restriction. Therefore,early screening and diagnosis are essential for the prevention and treatment of OSA in pregnancy.