Objective To construct an artificial intelligence assisted diagnosis model based on deep learning for dynamically recognizing gastric lesions and their locations under gastroscopy in real time,and to evaluate its ability to detect and recognize gastric lesions and their locations.Methods The gastroscopy videos of 104 patients in our hospital was retrospectively analyzed,and the video frames were manually annotated.The annotated picture frames of lesion category were divided into the training set and the validation set according to the ratio of 8∶2,and the annotated picture frames of location category were divided into the training set and the validation set according to the patient sources at the ratio of 8∶2.These sets were utilized for training and validating the respective models.YoloV4 model was used for the training of lesion recognition,and ResNet152 model was used for the training of location recognition.The accuracy,sensitivity,specificity,positive predictive value,negative predictive value and location recognition accuracy of the auxiliary diagnostic model were evaluated.Results A total of 68 351 image frames were annotated,with 54 872 frames used as the training set,including 41 692 frames for lesion categories and 13 180 frames for location categories.The validation set consisted of 13 479 frames,comprising 10 422 frames for lesion categories and 3 057 frames for location categories.The lesion recognition model achieved an overall accuracy of 98.8%,with a sensitivity of 96.6%,specificity of 99.3%,positive predictive value of 96.3%,and negative predictive value of 99.3% in validation set.Meanwhile,the location recognition model demonstrated an top-5 accuracy of 87.1% .Conclusion The artificial intelligence assisted diagnosis model based on deep learning for real-time dynamic recognition of gastric lesions and their locations under gastroscopy has good ability in lesion detection and location recognition,and has great clinical application prospects.

Objective To investigate how maternal MTR gene polymorphisms and their interactions with periconceptional folic acid supplementation are associated with the incidence of ventricular septal defects(VSD)in offspring.Methods A case-control study was conducted,recruiting 426 mothers of infants with VSD under one year old and 740 mothers of age-matched healthy infants.A questionnaire survey collected data on maternal exposures,and blood samples were analyzed for genetic polymorphisms.Multivariable logistic regression analysis and inverse probability of treatment weighting were used to analyze the associations between genetic loci and VSD.Crossover analysis and logistic regression were utilized to examine the additive and multiplicative interactions between the loci and folic acid intake.Results The CT and TT genotypes of the maternal MTR gene at rs6668344 increased the susceptibility of offspring to VSD(P<0.05).The GC and CC genotypes at rs3768139,AG and GG at rs1050993,AT and TT at rs4659743,GG at rs3768142,and GT and TT at rs3820571 were associated with a decreased risk of VSD(P<0.05).The variations at rs6668344 demonstrated an antagonistic multiplicative interaction with folic acid supplementation in relation to VSD(P<0.05).Conclusions Maternal MTR gene polymorphisms significantly correlate with the incidence of VSD in offspring.Mothers with variations at rs6668344 can decrease the susceptibility to VSD in their offspring by supplementing with folic acid during the periconceptional period,suggesting the importance of periconceptional folic acid supplementation in genetically at-risk populations to prevent VSD in offspring.

Aim To investigate the serum levels of thrombin-antithrombin complex(TAT),tissue type plas-minogen activator-inhibitor complex(t-PAIC)and thrombomodulin(TM)in patients with intracranial atherosclerotic steno-sis(ICAS),and their correlations with the degree of stenosis.Methods A total of 196 ICAS patients(ICAS group)who underwent treatment in Cangzhou People's Hospital from January 2021 to February 2023 were enrolled as research sub-jects.Based on the degree of vascular stenosis,they were separated into three groups:mild group(n=78),moderate group(n.=64),and severe group(n=54).A group of 196 healthy outpatient with similar clinical basic data to ICAS patients was selected as controls.The serum levels of TAT,t-PAIC,and TM in each group were compared;Spearman method was applied to analyze the correlation between serum levels of TAT,t-PAIC,TM and stenosis severity in ICAS pa-tients;Multivariate Logistic regression was applied to analyze the influencing factors of severe stenosis in ICAS patients;ROC curve was applied to analyze the predictive value of serum TAT,t-PAIC,TM and total cholesterol(TC)levels for se-vere stenosis in ICAS patients.Results Compared with the control group,the serum levels of TAT,t-PAIC,and TM were significantly increased in the ICAS group(P＜0.05);the levels of serum TAT,t-PAIC,TM,and TC in the mild,moderate,and severe groups increased accordingly(P＜0.05).Spearman analysis showed that the serum levels of TAT,t-PAIC,and TM in ICAS patients were positively correlated with the degree of stenosis(r=0.574,0.695,0.628;all P＜0.05).Multivariate Logistic regression analysis showed that TAT,t-PAIC,TM,and TC were independent risk factors for severe stenosis in ICAS patients(P＜0.05).The ROC curve showed that the AUC of severe stenosis in ICAS patients predicted by combination of TAT,t-PAIC,TM,and TC was 0.927,with a sensitivity of 83.33％and a specificity of 86.62％,which was superior to the independent prediction of TAT,t-PAIC,TM and TC(Zcombined detection-TAT=4.617,Zcombined deteetion-t-PAIC=4.024,Zcombined detection-TM=4.004,Zcombined detection-TC=7.078,all P=0.000).Conclusion The ser-um levels of TAT,t-PAIC,and TM in the ICAS group were significantly increased,and were positively correlated with the severity of stenosis.The combination of the three and TC has a high predictive value for the occurrence of severe stenosis in ICAS patients.

Objective To investigate factors influencing the occurrence of early haematoma expansion(HE)in patients with spontaneous intracerebral hemorrhage(sICH),to develop a predictive model and evaluate its predictive efficacy.Methods A retrospective cohort of 238 patients with sICH,admitted to General Hospital of Western Theater Command between January 2017 and December 2022,was analyzed.Patients were categorized into two groups based on the criteria of HE exceeding 33%in relative volume or 6 ml in absolute volume:HE group(n=62)and non-haematoma expansion(NHE)group(n=176).Clinical characteristics,laboratory findings,Non-contrast Computed Tomography(NCCT)imaging,and Glasgow Coma Scale(GCS)scores were compared between the two groups.Multifactorial logistic regression analysis was employed to identify risk factors for HE and to model the probability of its occurrence.The R language rms package was utilized to construct a nomogram model for predicting HE in sICH patients,Additionally,the related clinical,NCCT,and GCS models were constructed.The predictive efficacy of each model for HE in sICH patients was evaluated using area under Receive Operative Characteristic(ROC)curve(AUC),and the clinical application value of each model was assessed using accuracy,sensitivity,specificity,and Jordon's index.The Delong test was applied to analyze differences in the predictive values of the models.Results Significant differences in satellite sign,vortex sign,and history of anticoagulant treatment were observed between two groups(P<0.05).Multifactorial logistic regression analysis revealed independent risk factors for HE in sICH patients,including the first CT examination time,homogeneity,history of anticoagulant medication,volume,maximal diameter,hypodensity sign,island sign,satellite sign,and vortex sign(P<0.05).The AUCs for the constructed clinical model,NCCT model,GCS model and nomogram model in predicting the occurrence of HE in sICH patients were 0.672,0.706,0.518 and 0.754,respectively.The nomogram model demonstrated higher accuracy,sensitivity,Jordon's index and AUC compared with those in the clinical and NCTT models.Conclusions The first CT examination time,homogeneity,history of anticoagulant treatment,volume,maximum diameter,hypodensity sign,island sign,satellite sign,and vortex sign are independent predictors of early HE in sICH patients.The nomogram model,constructed with the above parameters,demonstrated high predictive efficacy for HE and holds potential for clinical application.

ObjectiveTo observe the impacts of electroacupuncture （EA） on the expression of hippocampal brain-derived neurotrophic factor （BDNF） and acetylated histone （AcH3） in the rat model of spared nerve injury （SNI）， so as to explore the analgesic and antidepressant effects of EA. MethodsTwenty-four Male SD rats were randomly divided into 4 groups， with 6 in each group. SNI was used to establish the model of pain and depression. All the groups were intervened one week after SNI surgery and persisted 5 weeks. The EA group was treated with EA （2 Hz） for 30 min every other day and imipramine drug group （IMP） group with peritoneal imipramine injection （10 mg/kg） per day. The sham surgery group （SS） and model group （SNI） received the same grasping stimulation. The paw mechanical withdrawal threshold （PWT） test was performed before the SNI surgery， 1， 2， 3， 4， 5， and 6 weeks after surgery， respectively. The forced swimming test （FST） and the sucrose preference test （SPT） were performed 6 weeks after SNI surgery. The Western blot method was employed to detect the expression of BDNF and AcH3 from the rat hippocampal tissue at the end of the behavioral tests. ResultsCompared with the SS group， the SNI group had significantly decreased PWT and sucrose consumption， prolonged FST immobility time （all P<0.01）， down-regulated BDNF and AcH3 expression （P<0.05 & P<0.01） in the hippocampus， which indicated the successful construction of the pain-depression model. Compared with the SNI group， 6 weeks after SNI surgery， the EA and IMP groups had significantly increased PWT and sucrose consumption， and reduced FST immobility time （all P<0.01）； the EA group had up-regulated BDNF and AcH3 expression （both P<0.05） in the hippocampus， the IMP group had up-regulated AcH3 （P<0.05） expression but no difference in BDNF expression. ConclusionEA could relieve pain and depressive behavioral symptoms in SNI rats. And its analgesic and antidepressant mechanisms may relate to the up-regulation of hippocampal AcH3 and BDNF expression.

Humans ; Anemia, Aplastic ; Leukemia, Large Granular Lymphocytic/diagnosis* ; Immunophenotyping

Objective: To analyze the drug resistance and genomic characteristics of a strain of serogroup O139 Vibrio cholerae producing cholera toxin isolated from the bloodstream of a person with bacteremia. Methods: The broth dilution method and automatic drug sensitivity analyzer were used to determine the antibiotic sensitivity of the strain. The complete genome sequence of the strain was obtained by using second-generation gene sequencing and nanopore sequencing. BLAST software was used for comparison and analysis with CARD, Resfinder, ISfinder, VFDB, and other databases. The drug-resistant genes, insertion sequences and virulence genes carried by the strain were identified. MEGA 5.1 software was used to construct a genetic phylogenetic tree based on the core genomic single nucleotide polymorphisms. Results: V. cholerae SH400, as the toxigenic strain, carried multiple virulence-related genes and four virulence islands. The strain was resistant to streptomycin, tetracycline and cotrimoxazole, carrying corresponding drug-resistant genes. The strain also carried IncA/C plasmid with the size of 172914 bp and contained 10 drug-resistant genes. Combined with the genomic evolutionary relationship, this study found that the drug-resistant genes and drug-resistant plasmids carried among strains showed certain aggregation. The traditional ST type of strain SH400 was ST69, and the cgMLST type was a new type highly similar to cgST-252. Conclusion: This strain of serogroup O139 V. cholerae carries the ctxAB gene, multiple drug-resistant genes and IncA/C plasmid, and there are multiple drug-resistant islands.

This study investigated the choroplast genome sequence of wild Atractylodes lancea from Yuexi in Anhui province by high-throughput sequencing, followed by characterization of the genome structure, which laid a foundation for the species identification, analysis of genetic diversity, and resource conservation of A. lancea. To be specific, the total genomic DNA was extracted from the leaves of A. lancea with the improved CTAB method. The chloroplast genome of A. lancea was sequenced by the high-throughput sequencing technology, followed by assembling by metaSPAdes and annotation by CPGAVAS2. Bioiformatics methods were employed for the analysis of simple sequence repeats(SSRs), inverted repeat(IR) border, codon bias, and phylogeny. The results showed that the whole chloroplast genome of A. lancea was 153 178 bp, with an 84 226 bp large single copy(LSC) and a 18 658 bp small single copy(SSC) separated by a pair of IRs(25 147 bp). The genome had the GC content of 37.7% and 124 genes: 87 protein-coding genes, 8 rRNA genes, and 29 tRNA genes. It had 26 287 codons and encoded 20 amino acids. Phylogenetic analysis showed that Atractylodes species clustered into one clade and that A. lancea had close genetic relationship with A. koreana. This study established a method for sequencing the chloroplast genome of A. lancea and enriched the genetic resources of Compositae. The findings are expected to lay a foundation for species identification, analysis of genetic diversity, and resource conservation of A. lancea.
Phylogeny ; Atractylodes/genetics* ; Genome, Chloroplast ; Whole Genome Sequencing ; Microsatellite Repeats ; Lamiales

OBJECTIVE: To investigate the predictive value of blood cell ratios and inflammatory markers for adverse prognosis in patients with primary Sjögren's syndrome (PSS) combined with coronavirus disease 2019 (COVID-19). METHODS: We retrospectively collected clinical data from 80 patients with PSS and COVID-19 who visited the Rheumatology and Immunology Department of the First Affiliated Hospital of Nanchang University from December 2022 to February 2023. Inclusion criteria were (1) meeting the American College of Rheumatology (ACR) classification criteria for Sjögren's syndrome; (2) confirmed diagnosis of COVID-19 by real-time reverse transcription polymerase chain reaction or antigen testing for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); (3) availability of necessary clinical data; (4) age > 18 years. According to the clinical classification criteria of the "Diagnosis and Treatment Protocol for Novel Coronavirus Pneumonia (trial the 10th Revised Edition)", the patients were divided into the mild and severe groups. Disease activity in primary Sjögren' s syndrome was assessed using the European League Against Rheumatism (EULAR) Sjögren' s syndrome disease activity index (ESSDAI). Platelet-lymphocyte ratio (PLR), C-reactive protein-lymphocyte ratio (CLR), erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), and other laboratory data were compared between the two groups within 24-72 hours post-infection. RESULTS: The mild group consisted of 66 cases with an average age of (51. 52±13. 16) years, and the severe group consisted of 14 cases with an average age of (52.64±10.20) years. Disease activity, CRP, platelets, PLR, and CLR were significantly higher in the severe group compared with the mild group (P < 0.05). Univariate analysis using age, disease activity, CRP, platelets, PLR, and CLR as independent variables indicated that disease activity, CRP, PLR, and CLR were correlated with the severity of COVID-19 (P < 0.05). Multivariate logistic regression analysis further confirmed that PLR (OR=1.016, P < 0.05) and CLR (OR=1.504, P < 0.05) were independent risk factors for the severity of COVID-19 in the critically ill patients. Receiver operator characteristic (ROC) curve analysis showed that the area under the curve (AUC) for PLR and CLR was 0.708 (95%CI: 0.588-0.828) and 0.725 (95%CI: 0.578-0.871), respectively. The sensitivity for PLR and CLR was 0.429 and 0.803, respectively, while the highest specificity was 0.714 and 0.758, respectively. The optimal cutoff values for PLR and CLR were 166.214 and 0.870, respectively. CONCLUSION PLR and CLR, particularly the latter, may serve as simple and effective indicators for predicting the prognosis of patients with PSS and COVID-19.
Humans ; Adult ; Middle Aged ; Sjogren's Syndrome/diagnosis* ; Retrospective Studies ; C-Reactive Protein ; COVID-19 ; SARS-CoV-2

Objective: To report gene mutations in nine patients with hereditary elliptocytosis (HE) and analyze the characteristics of pathogenic gene mutations in HE. Methods: The clinical and gene mutations of nine patients clinically diagnosed with HE at Institute of Hematology & Blood Diseases Hospital from June 2018 to February 2022 were reported and verified by next-generation sequencing to analyze the relationship between gene mutations and clinical phenotypes. Results: Erythrocyte membrane protein gene mutations were detected among nine patients with HE, including six with SPTA1 mutation, one with SPTB mutation, one with EPB41 mutation, and one with chromosome 20 copy deletion. A total of 11 gene mutation sites were involved, including 6 known mutations and 5 novel mutations. The five novel mutations included SPTA1: c.1247A>C (p. K416T) in exon 9, c.1891delG (p. A631fs*17) in exon 15, E6-E12 Del; SPTB: c.154C>T (p. R52W) ; and EPB41: c.1636A>G (p. I546V) . Three of the six patients with the SPTA1 mutation were SPTA1 exon 9 mutation. Conclusion: SPTA1 is the most common mutant gene in patients with HE.
Humans ; Mutation ; Elliptocytosis, Hereditary/metabolism* ; Erythrocyte Membrane/metabolism* ; Exons ; High-Throughput Nucleotide Sequencing ; Spherocytosis, Hereditary/metabolism*