Objective This study aimed to reveal critical genes regulating peri-implantitis during its development and construct a diagnostic model by using random forest(RF)and artificial neural network(ANN).Methods GSE-33774,GSE106090,and GSE57631 datasets were obtained from the GEO database.The GSE33774 and GSE106090 da-tasets were analyzed for differential expression and functional enrichment.The protein-protein interaction networks(PPI)and RF screened vital genes.A diagnostic model for peri-implantitis was established using ANN and validated on the GSE33774 and GSE57631 datasets.A transcription factor-gene interaction network and a transcription factor-micro-RNA(miRNA)regulatory network were also established.Results A total of 124 differentially expressed genes(DEGs)involved in the regulation of peri-implantitis were screened.Enrichment analysis showed that DEGs were mainly associated with immune receptor activity and cytokine receptor activity and were mainly involved in processes such as leukocyte and neutrophil migration.The PPI and RF screened six essential genes,namely,CD38,CYBB,FCGR2A,SELL,TLR4,and CXCL8.The receiver oper-ating characteristic curve(ROC)indicated that the ANN model had an excellent diagnostic performance.FOXC1,GA-TA2,and NF-κB1 may be essential transcription factors in peri-implantitis,and hsa-miR-204 may be a key miRNA.Con-clusion The diagnostic model of peri-implantitis constructed by RF and ANN has high confidence,and CD38,CYBB,FCGR2A,SELL,TLR4,and CXCL8 are potential diagnostic markers.FOXC1,GATA2,and NF-κB1 may be essential transcription factors in peri-implantitis,and hsa-miR-204 plays a vital role as a critical miRNA.

Objective This study aims to investigate the role of genes related to fatty acid metabolism in periodon-titis through machine learning and bioinformatics methods.Methods Periodontitis datasets GSE10334 and GSE-16134 were downloaded from the GEO database,and the fatty acid metabolism-related gene sets were obtained from the GeneCards database.Differentially expressed fatty acid metabolism-related genes(DEFAMRGs)in periodontitis were screened using the"limma"R package.Functional enrichment and pathway analyses were conducted.Recursive Feature Elimination,Least Absolute Shrinkage and Selection Operator,and Boruta algorithm were used to determine hub DEFAMRGs and construct diagnostic models with internal and external validation.Subtypes of periodontitis relat-ed to hub DEFAMRGs were constructed using consis-tency clustering analysis.CIBERSORT was used to ana-lyze immune cell infiltration in gingival tissues and ex-plore the correlation between hub DEFAMRGs and im-mune cells.Results A total of 113 periodontitis DE-FAMRGs were screened out as a result.The enrichment analysis results indicate that DEFAMRGs are mainly associat-ed with immune inflammatory responses and immune cell chemotaxis.Finally,8 hub DEFAMRGs(BTG2,CXCL12,FABP4,CLDN10,PPBP,RGS1,LGALSL,and RIF1)were identified and a diagnostic model(AUC=0.967)was con-structed,based on which periodontitis was divided into two subtypes.In addition,there is a significant correlation be-tween hub DEFAMRGs and different immune cell populations,with mast cells and dendritic cells showing higher cor-relation.Conclusion This study provides new insights and ideas for the occurrence and development mechanism of periodontitis and proposes a diagnostic model based on hub DEFAMRGs to provide new directions for diagnosis and treatment.

Background::Whether functional gastrointestinal disorders (FGIDs) are associated with the long-term risk of chronic kidney disease (CKD) remains unclear. We aimed to investigate the prospective association of FGIDs with CKD and examine whether mental health mediated the association.Methods::About 416,258 participants without a prior CKD diagnosis enrolled in the UK Biobank between 2006 and 2010 were included. Participants with FGIDs (including irritable bowel syndrome [IBS], dyspepsia, and other functional intestinal disorders [FIDs; mainly composed of constipation]) were the exposure group, and non-FGID participants were the non-exposure group. The primary outcome was incident CKD, ascertained from hospital admission and death registry records. A Cox proportional hazard regression model was used to investigate the association between FGIDs and CKD, and the mediation analysis was performed to investigate the mediation proportions of mental health.Results::At baseline, 33,156 (8.0%) participants were diagnosed with FGIDs, including 21,060 (5.1%), 8262 (2.0%), and 6437 (1.6%) cases of IBS, dyspepsia, and other FIDs, respectively. During a mean follow-up period of 12.1 years, 11,001 (2.6%) participants developed CKD. FGIDs were significantly associated with a higher risk of incident CKD compared to the absence of FGIDs (hazard ratio [HR], 1.36; 95% confidence interval [CI], 1.28–1.44). Similar results were observed for IBS (HR, 1.27; 95% CI, 1.17–1.38), dyspepsia (HR, 1.30; 95% CI, 1.17–1.44), and other FIDs (HR, 1.60; 95% CI, 1.43–1.79). Mediation analyses suggested that the mental health score significantly mediated 9.05% of the association of FGIDs with incident CKD and 5.63–13.97% of the associations of FGID subtypes with CKD. Specifically, the positive associations of FGIDs and FGID subtypes with CKD were more pronounced in participants with a high genetic risk of CKD.Conclusion::Participants with FGIDs had a higher risk of incident CKD, which was partly explained by mental health scores and was more pronounced in those with high genetic susceptibility to CKD.

In order to achieve the purpose of rapid detection of duck astrovirus type 1(DAstV-1),specific primers were designed based on the conservative region of ORF1a which belonged to DAstV-1(WF1202 strain).A real-time fluorescent quantitative PCR(qPCR)detective method for DAstV-1 was established.Clinical samples were detected by the qPCR method and the positive samples were used for virus isolation and identification.Results showed that the detection limit of the established method was 4.64×103 copies/μL,which was 10 times higher than the normal RT-PCR method.In addition,no cross-reactions were found with other common infectious disease pathogens in poultry,indicating that the qPCR method had good specificity.What's more,the coef-ficient of variations(Cv)in intra-and inter-assays were 0.85％-2.85％and 0.21％-2.94％,re-spectively,both less than 3％,indicating that the qPCR method had a good repeatability.Using this method,35 tissue samples from different duck farms in 10 provinces from 2020 to 2022 were detected for DAstV-1.Results showed that the positive rate was 25.71％(9/35),and the coinci-dence rate was 94.29％when compared with the normal RT-PCR method.A positive sample ran-domly taken for the virus isolation through duck embryo passage,and the allantoic fluid was col-lected and then was verified by the qPCR method and inoculated with 1-day-old healthy ducklings for the animal regression experiment.The infected ducklings suffered from transient disease but did not die.The liver tissues were all positive with DAstV-1 when detected by qPCR.Meanwhile,autopsy showed that there were slight changes in the livers,and the histopathological observation showed that the liver cells were steatosis.These findings indicated that the isolated DAstV-1 strain had weak pathogenicity and might be a low virulent strain.To sum up,the qPCR detection method of DAstV-1 was successfully established in this work,and could provide technical support for clini-cal diagnosis,isolation and identification,and molecular epidemiology monitoring of DAstV-1.

OBJECTIVES: This study aims to explore the therapeutic targets of curcumin in periodontitis through network pharmacology and molecular docking technology. METHODS: Targets of curcumin and periodontitis were predicted by different databases, and the protein-protein interaction (PPI) network constructed by String revealed the interaction between curcumin and periodontitis. The key target genes were screened for Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses. Molecular docking was performed to analyze the binding potential of curcumin to periodontitis. RESULTS: A total of 672 periodontitis-related disease targets and 107 curcumin-acting targets were obtained from the databases, and 20 key targets were screened. The GO and KEGG analyses of the 20 targets showed that curcumin might play a therapeutic role through the hypoxia-inducible factor (HIF)-1 and parathyroid hormone (PTH) signaling pathways. Molecular docking analysis showed that curcumin had good binding potential with multiple targets. CONCLUSIONS The potential key targets and molecular mechanisms of curcumin in treating periodontitis provide a theoretical basis for new drug development and clinical applications.
Humans ; Network Pharmacology ; Curcumin/therapeutic use* ; Molecular Docking Simulation ; Periodontitis/drug therapy* ; Drugs, Chinese Herbal ; Medicine, Chinese Traditional

Objective:To investigate the differences of white matter diffusion properties between vulnerable and resistant individuals to continuous attention after sleep deprivation.Methods:According to the psychomotor vigilance test performance before and after sleep deprivation, the participants were divided into the vulnerable group( n=24) and resistant group( n=25). All participants underwent diffusion tensor imaging (DTI) scans.Tract based spatial statistics(TBSS) was used to compare fractional anisotropy(FA), mean diffusivity(MD), axial diffusivity(AD), radial diffusivity(RD) maps between the two groups.Spearman correlation analysis was conducted by SPSS 24.0 to investigate the relationships between the altered DTI metrics and PVT task performance. Results:(1) Compared with resistant group, FA value of vulnerable group decreased in the body of corpus callosum(x, y, z=-8, 9, 25, t=-7.855), right superior longitudinal fasciculus(x, y, z=-39, -7, 26, t=-6.252), bilateral anterior limb of internal capsule(x, y, z=-13, 8, 13, t=-5.235; x, y, z=12, 8, 3, t=-5.024) and right posterior thalamic radiation(x, y, z=-26, -56, 17, t=-5.469)(TFCE corrected, P<0.05, cluster size≥50 voxel). (2) Compared with resistant group, MD value of vulnerable group increased in the body of corpus callosum(x, y, z=-3, -6, 26, t=7.613), right superior longitudinal fasciculus(x, y, z=-31, -19, 38, t=5.314), bilateral anterior limb of internal capsule(x, y, z=-16, 7, 8, t=6.898; x, y, z=15, 5, 7, t=6.652), splenium of corpus callosum(x, y, z=27, -53, 17, t=6.541), and AD value increased in the right superior longitudinal fasciculus(x, y, z=-33, -19, 39, t=4.892), splenium of corpus callosum(x, y, z=-22, -49, 21, t=5.450), genu of corpus callosum(x, y, z=4, 26, 0, t=4.332), as well as RD value increased in the right superior corona radiata(x, y, z=-17, 1, 33, t=7.558), body of corpus callosum(x, y, z=4, -8, 26, t=6.699), right anterior limb of internal capsule(x, y, z=-12, 7, 3, t=5.212) (TFCE corrected, P<0.05, cluster size≥50 voxel). (3) Correlational analysis revealed that the negative correlations were found between PVT task performance and the FA value in the right superior longitudinal fasciculus( r=-0.492, P<0.001), right anterior limb of internal capsule( r=-0.510, P<0.001), right posterior thalamic radiation( r=-0.502, P<0.001) and body of corpus callosum( r=-0.464, P<0.001). The positive correlations were found between PVT task performance and the MD value in the body of corpus callosum( r=0.500, P<0.001), right superior longitudinal fasciculus( r=0.499, P<0.001), splenium of corpus callosum( r=0.462, P<0.001), right anterior limb of internal capsule( r=0.471, P<0.001), and AD value in right superior longitudinal fasciculus( r=0.643, P<0.001), as well as RD value in right superior corona radiate( r=0.498, P<0.001) (Bonferroni corrected, P<0.003). Conclusion:Differences in the microstructural characteristics of white matter fiber tracts in specific brain regions may constitute the potential neuropathological basis for the phenotypes of vulnerable and resistant individuals to continuous attention after sleep deprivation.

Affective brain-computer interfaces (aBCIs) has important application value in the field of human-computer interaction. Electroencephalogram (EEG) has been widely concerned in the field of emotion recognition due to its advantages in time resolution, reliability and accuracy. However, the non-stationary characteristics and individual differences of EEG limit the generalization of emotion recognition model in different time and different subjects. In this paper, in order to realize the recognition of emotional states across different subjects and sessions, we proposed a new domain adaptation method, the maximum classifier difference for domain adversarial neural networks (MCD_DA). By establishing a neural network emotion recognition model, the shallow feature extractor was used to resist the domain classifier and the emotion classifier, respectively, so that the feature extractor could produce domain invariant expression, and train the decision boundary of classifier learning task specificity while realizing approximate joint distribution adaptation. The experimental results showed that the average classification accuracy of this method was 88.33% compared with 58.23% of the traditional general classifier. It improves the generalization ability of emotion brain-computer interface in practical application, and provides a new method for aBCIs to be used in practice.
Algorithms ; Brain-Computer Interfaces ; Electroencephalography ; Emotions ; Humans ; Reproducibility of Results

Objective:To investigate the relationship of antinuclear antibody (ANA) status with clinical features and malignancy risk in adult patients with dermatomyositis.Methods:A retrospective analysis was performed to analyze clinical data from 101 inpatients with dermatomyositis in Department of Dermatology, the First Affiliated Hospital of Soochow University from April 2008 to April 2018. These patients were divided into ANA-positive group and ANA-negative group, and differences in myopathy and malignancy risks as well as other clinical features were analyzed between the 2 groups. A 2-year follow-up was undertaken among 92 patients. Chi-square test was used to analyze and compare clinical features between the 2 groups, and a multivariate regression model was used to analyze the relationship of ANA status with amyopathic dermatomyositis and malignancies.Results:Among the 101 patients with dermatomyositis, there were 42 males and 59 females, aged 55.13 ± 14.63 years; 14 patients had amyopathic dermatomyositis, 6 patients had hypomyopathic dermatomyositis, and 81 patients had myopathic dermatomyositis; 42 (41.58%) cases were positive for ANA, and 59 (58.41%) were negative for ANA. Compared with the ANA-negative group, the ANA-positive group showed significantly decreased incidence of cervical erythema (33.33% vs. 59.32%, P=0.010) and shawl sign (14.28% vs. 35.59%, P=0.017) . Twenty-eight (27.72%) patients with dermatomyositis were complicated by malignancies. Malignancies were found in 5 (11.9%) of ANA-positive patients, and in 23 (38.98%) of ANA-negative patients. Univariate analysis showed that ANA-negative patients with dermatomyositis had a higher risk of malignancies compared with ANA-positive patients with dermatomyositis, with an odds ratio of 7.52 (95% CI: 1.62-13.78, P=0.003) . In the multivariate regression model, the absence of ANA ( OR=4.34, 95% CI: 1.37-13.72, P=0.012) and cervical erythema ( OR=3.27, 95% CI: 1.20-8.91, P=0.020) were associated with high incidence of malignancies, while the absence of ANA was not significantly correlated with the occurrence of amyopathic dermatomyositis ( OR=0.99, 95% CI: 0.32-2.99, P=0.980) . Conclusions:ANA-negative adult dermatomyositis patients with cervical erythema had an increased risk of malignancies. Thus, close follow-up and regular tumor screening are necessary in these patients.

A 65-year-old male patient, who had a history of chronic lymphocytic leukemia for 3 years, presented with erythematous swelling of the right cheek for 20 days and scattered papules on the back and upper extremities for 10 days. Twenty days prior to the presentation, the patient was hospitalized for disseminated herpes zoster. Skin examination showed diffuse dark red swollen plaques in the facial area under the right eyelid as well as on the right auricle and external acoustic meatus, with a sense of infiltration on palpation; scattered brown crusts were left behind at the sites of healed herpes zoster lesions, and scattered depressed scars were observed among these crusts; scattered infiltrative, mung bean- to soybean-sized, light red papules with a smooth surface were seen on the back of the neck, back and upper limbs. Histopathological examination of the facial skin lesions revealed nodular infiltration of epithelioid cells, lymphocytes and many multinucleated giant cells in the dermis and subcutaneous adipose tissue; immunohistochemical staining showed positive staining for CD68, CD20, CD79a, CD3, CD2, CD10, CD5 and Bcl-2, scattered positive staining for Ki-67, and negative staining for CD23, cyclin D1, Bcl-6, multiple myeloma oncogene 1, CD21, CD35 and myeloperoxidase. The patient was diagnosed with Wolf′s isotopic response manifesting as granulomatous inflammation after disseminated herpes zoster. The patient was treated with intravenous drips of methylprednisolone at a dose of 40 mg/d, and the skin lesions were gradually improved and subsided. No recurrence was observed during 4 years of follow-up.

The outbreak of coronavirus disease (COVID-19) caused by SARS-CoV-2 virus continually lead to worldwide human infections and deaths. Currently, there is no specific viral protein-targeted therapeutics. Viral nucleocapsid protein is a potential antiviral drug target, serving multiple critical functions during the viral life cycle. However, the structural information of SARS-CoV-2 nucleocapsid protein remains unclear. Herein, we have determined the 2.7 Å crystal structure of the N-terminal RNA binding domain of SARS-CoV-2 nucleocapsid protein. Although the overall structure is similar as other reported coronavirus nucleocapsid protein N-terminal domain, the surface electrostatic potential characteristics between them are distinct. Further comparison with mild virus type HCoV-OC43 equivalent domain demonstrates a unique potential RNA binding pocket alongside the -sheet core. Complemented by binding studies, our data provide several atomic resolution features of SARS-CoV-2 nucleocapsid protein N-terminal domain, guiding the design of novel antiviral agents specific targeting to SARS-CoV-2.