ObjectiveTo explore the distribution pattern of tongue image characteristics in patients with glucolipid metabolic disorders and its main syndromes. MethodsA total of 841 patients with glucolipid metabolic disorders （disease group）， and 380 healthy subjects （control group） were included. The disease group was classified into three syndrome types： 283 cases of liver depression and spleen deficiency syndrome， 311 cases of phlegm-dampness obstruction syndrome， and 247 cases of qi stagnation and blood stasis syndrome. Tongue image data were collected using the TFDA-1 Tongue Diagnosis Instrument， and the TDAS V3.0 software was used to analyze the color， texture， and morphological features of the tongue body （TB） and tongue coating （TC） in patents with different syndromes of disease group （including lightness （L）， red-green axis （a）， yellow-blue axis （b）， luminance （Y）， difference between red signal and brightness （Cr）， difference between blue signal and brightness （Cb）， contrast （CON）， angular second moment （ASM）， entropy （ENT）， mean value （MEAN）， tongue coating area/tongue surface area （perAll）， and tongue coating area/non-coated area （perPart））. Logistic regression analysis was conducted to identify influencing factors for different syndrome types of glucolipid metabolic disorders. ResultsThe tongue body indicators TB-L， TB-Y， and TB-Cb in the disease group were significantly higher than those in the control group， while TB-a， TB-b， and TB-Cr were significantly lower. The tongue coating indicators TC-L， TC-Y， TC-Cb， perAll， and perPart in the disease group were significantly higher than those in the control group， while TC-a， TC-b， and TC-Cr were significantly lower （P＜0.05）. Comparing with the different syndromes in disease group， the TB-L and TB-Y of the liver depression and spleen deficiency syndrome， and the phlegm-damp obstruction syndrome were higher than those of the qi stagnation and blood stasis syndrome； the TB-a and TB-Cr of the phlegm-damp obstruction syndrome were lower than those of the qi stagnation and blood stasis syndrome； the perAll of the phlegm-damp obstruction syndrome was higher than that of the qi stagnation and blood stasis syndrome （P＜0.05）. In the analysis of the morphological characteristics of tongue signs， more spotted tongue in disease group compared with control group， more teeth-marked tongue in liver depression and spleen deficiency syndrome than the other two syndromes， more greasy coating in phlegm-damp obstruction syndrome， and more stasis spots of tongue in qi stagnation and blood stasis syndrome （P＜0.05）. Logistic regression analysis identified that greasy coating， spotted tongue， stasis spots of tongue， tooth-marked tongue， perAll， and TB-Cb are the influencing factors of liver depression and spleen deficiency syndrome； greasy coating， tooth-marked tongue， TC-Cb， and TC-Cr are the influencing factors of phlegm-damp obstruction syndrome； cracked tongue， stasis spots of tongue， tooth-marked tongue， and TB-Y are the influencing factors of qi stagnation and blood stasis syndrome （P＜0.05）. ConclusionCompared to healthy individuals， patients with glycolipid metabolic disorder have darker tongue color and thicker， greasy tongue coating. Glycolipid metabolic disorder patients of liver depression and spleen deficiency syndrome exhibit a reddish tongue with finer textures and more tooth marks； patients of phlegm-damp obstruction syndrome have lighter tongue coating with a coarser texture and a higher prevalence of greasy coating； patients of qi stagnation and blood stasis syndrome display lower tongue brightness with a higher prevalence of blood stasis spots.

BackgroundSchizophrenia is a complex， chronic and severe mental disorder， and the pathogenesis of which has not been fully elucidated. The abnormalities in lipid metabolism and circulating metabolomes have already been implicated in the pathophysiology of schizophrenia. However， available studies have mainly focused on a few liposomes and circulating metabolites， failing to systematically reveal the mediating role of circulating metabolomes in the causal relationship between liposomes and schizophrenia. ObjectiveTo uncover mediating role of circulating metabolomes in the causal relationship between liposomes and schizophrenia， thereby providing biomarkers and potential therapeutic targets for the prevention and treatment of schizophrenia. MethodsData from Genome-Wide Association Studies （GWAS） were analyzed， taking data on 179 liposomes as exposure variables， data on 123 circulating metabolites as intermediate variables， and data on schizophrenia as outcome variable. A two-step， two-sample Mendelian randomization analysis was conducted using the inverse-variance weighted （IVW）， MR- Egger， Weighted median， and Weighted mode methods to study the causal relationship of liposomes with schizophrenia and the mediating role of circulating metabolomes in the relationship. ResultsIVW model identified 8 lipids associated with schizophrenia without reverse causality. There were 5 circulating metabolomes strongly associated with schizophrenia. Acetate played a significant mediating role in the causal relationship between phosphatidylinositol （18：0_18：2） and schizophrenia （P=0.023， 95% CI： 0.036~0.532）， accounting for 28.4% of the causal relationship. ConclusionThis study demonstrates a causal relationship between liposomes and schizophrenia， with phosphatidylinositol being a risk factor in the progression of schizophrenia， and acetate playing a mediating role in this process. ［Fund by National Natural Science Foundation of China General Program （number， 82271546）； Shanxi Merit Funding for Overseas Students Sci-Tech Activities Project （number， 20240041）； Shanxi Province Science and Technology Innovation Leading Talent Team Project （number， 202304051001049）； Shanxi Scientific Research Foundation for the Returned Overseas Chinese Scholars （number， 2022-190）； "Six Measures for Health Care Prosperity" Specialized Research Program （number， Y2024008）］

Background::Acute pulmonary embolism (APE) is a fatal cardiovascular disease, yet missed diagnosis and misdiagnosis often occur due to non-specific symptoms and signs. A simple, objective technique will help clinicians make a quick and precise diagnosis. In population studies, machine learning (ML) plays a critical role in characterizing cardiovascular risks, predicting outcomes, and identifying biomarkers. This work sought to develop an ML model for helping APE diagnosis and compare it against current clinical probability assessment models.Methods::This is a single-center retrospective study. Patients with suspected APE were continuously enrolled and randomly divided into two groups including training and testing sets. A total of 8 ML models, including random forest (RF), Na?ve Bayes, decision tree, K-nearest neighbors, logistic regression, multi-layer perceptron, support vector machine, and gradient boosting decision tree were developed based on the training set to diagnose APE. Thereafter, the model with the best diagnostic performance was selected and evaluated against the current clinical assessment strategies, including the Wells score, revised Geneva score, and Years algorithm. Eventually, the ML model was internally validated to assess the diagnostic performance using receiver operating characteristic (ROC) analysis.Results::The ML models were constructed using eight clinical features, including D-dimer, cardiac troponin T (cTNT), arterial oxygen saturation, heart rate, chest pain, lower limb pain, hemoptysis, and chronic heart failure. Among eight ML models, the RF model achieved the best performance with the highest area under the curve (AUC) (AUC = 0.774). Compared to the current clinical assessment strategies, the RF model outperformed the Wells score ( P = 0.030) and was not inferior to any other clinical probability assessment strategy. The AUC of the RF model for diagnosing APE onset in internal validation set was 0.726. Conclusions::Based on RF algorithm, a novel prediction model was finally constructed for APE diagnosis. When compared to the current clinical assessment strategies, the RF model achieved better diagnostic efficacy and accuracy. Therefore, the ML algorithm can be a useful tool in assisting with the diagnosis of APE.

Objective To investigate the gray matter volume(GMV)changes and molecular basis underlying antipsychotic-induced weight gain(AIWG).Methods One hundred twenty-nine first-episode schizophrenia patients from October 2019 to December 2021 were enrolled in this study.Patients with≥7%weight gain(weight gain,WG)and patients with<3%weight changes(weight stable,WS)were studied.All patients underwent T1-weighted MRI scanning at baseline and after 8 week treatment.Transcriptome-neuroimaging correlations were used to investigate brain gene profiles from the Allen Human Brain Atlas and GMV changes induced by AIWG.Results Thirty-three patients with WG and 27 with WS completed the GMV measures.Compared with baseline,the WG group showed reduced GMV in right hippocampus,left basal ganglia,and right inferior parietal lobule,etc.and increased GMV in bilateral thalamus(P<0.05).The WS group showed reduced GMV in bilateral orbital gyrus,bilateral inferior frontal gyrus and bilateral hippocampus(P<0.05).These GMV changes in WG group were spatially correlated with expression levels of 354 genes,which were exclusively enriched in Cushing syndrome,neuroinflammation and glutamatergic signaling,and Pnoc+.Conclusion The study has demonstrated increased GMV in thalamus in schizophrenia patients with AIWG which may be associated with Cushing syndrome and Pnoc+.These findings may provide important insights into the molecular mechanisms of AIWG.

Objective:To investigate the accuracy of next-generation sequencing technology(NGS)in detecting the polymorphisms of HLA-DRB1,DQB1,DQA1,DRB3,DRB4,DRB5,DPA1 and DPB1 alleles in randomly-selected unrelated healthy individuals from Shenzhen Han population,investigate the potential reason for HLA-DRB1 allele dropout in routine NGS,and establish an internal quality control system.Methods:NGS-based HLA class Ⅱ genotyping was performed on 1 012 samples using the MiSeqDxTM platform.The suspected missed alleles indicated by the quality control software and HLA-DRB1 homozygotes were confirmed by PCR-SSOP or PCR-SBT methods.Results:A total of 139 alleles were detected,including HLA-DRB1(45),DRB3(7),DRB4(5),DRB5(7),DQA1(17),DQB1(21),DPA1(10)and DPB1(27).HLA-DRB 1*09:01(17.09％),15:01(10.72％);DRB3*02:02(25.99％),03:01(10.18％);DRB4*01:03(36.46％);DRB5*01:01(15.42％);DQA1*01:02(20.01％),03:02(17.19％);DQB1*03:01(19.47％),03:03(17.98％),05:02(11.66％),06:01(10.67％);DPA1*02:02(54.45％),01:03(31.18％)and DPB1*05:01(39.13％),02:01(16.90％)alleles were the most common alleles in Shenzhen Han population(frequencies＞10％).There was no statistical difference between the gene frequencies of HLA-DRB1 and DQB1 loci in our study.The HLA Common and Well-Documented Alleles in China(CWD2.4)(x2=12.68,P＞0.05).94 cases of HLA-DRB1 homozygous samples detected by NGS were retested by PCR-SSOP or SBT method,and one case of allele dropout at HLA-DRB1 locus was found.SBT method confirmed that the allele of DRB1*04:03 was missed.The laboratory internal quality control system was established.Two cases of new alleles were detected and named by WHO Nomenclature Committee for Factors of the HLA System.Conclusion:The HLA genotyping results based on NGS showed a significantly lower ambiguity rate.The HLA class Ⅱ alleles exhibit genetic polymorphism in the Han population of unrelated healthy individuals in Shenzhen.The independent method based on NGS in clinical histocompatibility testing has limitations and requires internal quality control strategies to avoid allele-dropout events.

Objective:To develop the Self-Stigma Scale for Drug Addicts(SSSDA),and test its validity and reliability.Methods:On the basis of literature analysis,open questionnaire survey,semi-structured interview and ex-pert consultation,the theoretical structure of the questionnaire was developed,and 943 drug addicts were test-ed.Sample 1(n=483)was used for item analysis and exploratory factor analysis,and sample 2(n=460)was used for confirmatory factor analysis,criterion related validity and internal consistency reliability analysis.Sixty-four drug addicts were retested 4 weeks later for test-retest reliability test.The criterion related validity was tested with the Drug Stereotype Threat Scale.Results:The scale consisted of 6 dimensions and 31 items,including self-negative cognition,stereotype identity,confidentiality,social avoidance,stigma experience,and stigma experience in the process of detoxification(factor loadings were from 0.41 to 0.81),which explained 64.09％of the total vari-ance.The 6-factor structure model fitted the data well(x2/df=2.82,RMSEA=0.06,CFI=0.92,GFI=0.85,TLI=0.91).The total scores and factor scores of the SSSDA were positively correlated with the DSTS scores(ICC=0.10-0.22,Ps＜0.05).The Cronbach α coefficients for the total scale and each dimension were between 0.80 and 0.95,and the test-retest reliability coefficients(ICC)were between 0.82 and 0.94.Conclusion:The Self-stigma Scale for Drug Addicts(SSSDA)initially developed in this study has satisfactory reliability and validity.

Objective:To investigate the efficacy and safety of tenofovir amibufenamide in patients over 65 years old with chronic hepatitis B and liver cirrhosis.Methods:We recruited 45 patients in Linyi People's Hospital with chronic hepatitis B and liver cirrhosis who were treated with TMF antiviral therapy for 48 weeks, compared the virologic response rate and HBV DNA decrease level at 12, 24 and 48 weeks, and the changes in hepatitis B surface antigen, alanine aminotransferase, glomerular filtration rate, creatinine, triglycerides, total cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, serum phosphorus and blood lipids, and the changes in ALT normalization rate at 48 weeks. P<0.05 was statistically significant. Results:The age of the enrolled patients was 69.0 (67.0, 72.5) years. At 12, 24, and 48 weeks of treatment, the complete virological response rates were 32.4% (12/37), 70.0% (28/40), and 84.6% (33/39) respectively, and the level of HBV DNA decreased from baseline ( P＜0.05). After 48 weeks of treatment, the level of HBsAg decreased ( P<0.05), and there was no negative HBsAg conversion and seroconversion. After 48 weeks of treatment, the level of ALT decreased ( P<0.05). At 48 weeks of treatment, the rates of ALT reverted to normality were 88.9% (16/18) and 70.4% (19/27), respectively. There was no significant difference in the levels of glomerular filtration rate, creatinine, phosphorus, triglycerides, total cholesterol, high-density lipoprotein cholesterol and low-density lipoprotein cholesterol estimated at baseline before and after treatment ( P＞0.05), and no serious adverse events were observed. Conclusions:For patients over 65 years old with chronic hepatitis B and liver cirrhosis, TMF can significantly inhibit HBV DNA replication, and the ALT normalization rate is high and well tolerated.

Objective To propose strategies for developing clinical predictive models,aiming to assist researchers in conducting standardized clinical prediction model studies.Methods Literature review was conducted to summarize the operational steps and content for developing clinical predictive models.Then,a methodological framework was summarized and refined through expert consultation.Results The 11-step methodological framework for developing clinical predictive models was obtained by synthesizing the experience of 456 clinical predictive modeling studies and expert consultation,and the details were analyzed and elaborated.Conclusions This study presents methodological strategies and recommendations for the development of clinical predictive models,intended to serve as a guide for researchers.

The endothelial glycocalyx(EG)is a polyglycoprotein complex present on the internal vascular surface,and its impairment is associated with the progression of multiple diseases,including atherosclerosis,stroke,sepsis,diabetes,kidney disease,hypertension,and lung edema.Therefore,glycocalyx health can be used as a biomarker to evaluate vascular health.Aging leads to dysfunctional changes in the glycocalyx;for example,its thickness decreases,and the genes of enzymes involved in its synthesis and digestion are dysregulated.As a natural barrier to the vascular system,age-related glycocalyx disruption is associated with vascular dysfunction,including impairment of vascular contraction and dilation,enhancement of permeability,dysregulation of inflammatory and immune reactions,and imbalance of anticoagulation and thrombin.From the perspective of'structure determines function'studies on the changing regularity of the thickness,components,microstructure,and mechanical properties of EG with aging and its relationship with vascular dysfunction are of great significance for the prevention,diagnosis,and treatment of atherosclerosis and other age-related cardiovascular diseases.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.