Objective: To analyze clinicopathological features of parapsoriasis. Methods: Clinical and pathological data were collected from 81 patients with parapsoriasis in Department of Dermatology, Peking University First Hospital between January 2016 and May 2018, and analyzed retrospectively. Results: Among the 81 patients with parapsoriasis, 44 were male and 37 were female, with age ranging from 6 to 77 years. Their disease course ranged from 7 days to 30 years, and the median disease course was 12 months. Moreover, 61 (75.3%) patients were aged less than 40 years, and 20 (24.7%) were aged 41 years and older. Of the 81 patients, 16 (19.8%) were diagnosed with small plaque parapsoriasis, 20 (24.7%) with large plaque parapsoriasis, 37 (45.7%) with pityriasis lichenoides chronica, and 8 (9.9%) with pityriasis lichenoides et varioliformis acuta. Additionally, distribution patterns of lesions included diffuse type in 65 cases (80.2%) , central type in 6 cases (7.4%) , and peripheral type in 10 cases (12.3%) . Histopathological examination of skin lesions revealed liquefaction degeneration of basal cells in 69 cases (85.2%) , migration of lymphocytes into the epidermis in 67 cases (82.7%) , focal parakeratosis in 42 cases (51.9%) , keratinocyte necrosis in 29 cases (35.8%) , extravasation of erythrocytes in 23 cases (28.4%) , epidermal spongiosis in 21 cases (25.9%) , and dermal perivascular focal infiltration in 61 cases (75.3%) . Conclusion Parapsoriasis has characteristic clinical and pathological manifestations, and a close combination of clinical manifestations with pathological features is necessary for its accurate diagnosis.

BACKGROUND:To investigate the research focus and follow-up research trend of exosomes in the diagnosis and treatment of chronic kidney disease,in order to provide a corresponding reference basis for the future research of exosomes in the diagnosis and treatment of chronic kidney disease,and promote the development of this field. OBJECTIVE:To conduct a bibliometric analysis of relevant studies in each database painstakingly until now for public publication on exosome diagnosis and treatment of chronic kidney disease,to explore the current state and trend of the field in this discipline,and to predict future research directions. METHODS:A computerized search was performed on WanFang,CNKI,CBM,VIP,Web of Science,Cochrane Library,PubMed,and Embase databases from inception to December 2022 for published literature related to the diagnosis and treatment of chronic kidney disease by exosomes.The literature transcripts were screened by NoteExpress for co-occurrence,clustering and mutational analysis among authors,institutions,and keywords through CiteSpace 6.1R4 and VOSviewer software,and the visual knowledge map was plotted. RESULTS AND CONCLUSION:(1)A total of 804 articles,including 133 in Chinese and 671 in English,were included,and the volume of publications climbed year by year with a rapid trend.We included 3 649 literature authors,including 326 Chinese authors and 3 323 English authors,and the field has formed a core team centered on scholars such as Liu Bicheng,Wang Bin,Lyu LinLi,Wang Xiaonan and Wang Haidong,and has formed a stable multicenter collaboration platform among institutions.Research focuses on the three functions of exosomes:carrier,diagnosis and therapy.(2)As a form of extracellular vesicles,exosomes have important mechanisms for carrying,transferring molecular mediators and signal transduction,and have an important role in the physiopathological development of chronic kidney disease,which can provide important health surveillance data for epidemiological studies and clinical decision-making.In recent years,the development of relevant studies on exosome-based diagnosis of chronic kidney disease has expanded dramatically,forming a development layout of collaborative cooperation among multiple institutions worldwide,led by our scientific research institutions.However,at present,the study of the specific function and mechanism of action of exosomes and contents in the disease process has not been fully validated.Their significance for the early diagnosis and prognosis evaluation of chronic kidney disease is not very clear.The intrinsic mechanism of action-related research is still relatively poor.Isolation and purification techniques still need to be improved,and high-quality evidence-based clinical trials with multicenter and large samples have not yet appeared,which still need to be verified by further studies.

Objective To establish a method for simultaneous determination of 11 components of Solanum nigrum from different producing areas,and to evaluate the quality by chemometrics and entropy weight-technique for order preference by similarity to ideal solution(EW-TOPSIS).Methods The 17 batches of Solanum nigrum samples from 8 provinces were collected.The high performance liquid chromatography(HPLC)method was used to simultaneously determine the contents of medioresino,pinoresinol,quercetin,rutoside,solasonine,solamargine,khasianine,solasodine,desgalactotigonin,diosgenin and β-sitosterol,and the multi-components quantitative control mode of Solanum nigrum was established.The quality evaluation model of Solanum nigrum was established by using chemical recognition pattern and EW-TOPSIS method,and the overall quality was evaluated comprehensively.Results When the 11 components were in the 0.78-39.00,0.55-27.50,0.34-17.00,0.21-10.50,41.87-2 093.50,60.95-3 047.50,2.58-129.00,1.02-51.00,0.46-23.00,1.05-52.50 and 0.42-21.00 μg/mL(r＞0.999 0),their linear relationships were good.The average recovery was 96.81％-100.28％with the RSD＜2.0％(n=9).17 batches of samples clustered into 3 categories.Solamargine,solasonine,desgalactotigonin and medioresino may be the main potential markers affecting the quality of Solanum nigrum.The results of EW-TOPSIS method showed that,the quality evaluation closeness of 17 batches of Solanum nigrum were 0.433 6,0.416 8,0.624 2,0.500 8,0.479 1,0.636 1,0.568 3,0.250 0,0.190 9,0.222 1,0.170 7,0.720 0,0.698 3,0.744 7,0.717 9,0.720 9 and 0.718 3,respectively,indicating that the overall quality of Solanum nigrum from Liaoning,Jilin and Heilongjiang were better,followed by Jiangsu,Henan and Anhui.Conclusion The established HPLC method for simultaneous determination of 11 components in Solanum nigrum is convenient and accurate.Chemometrics and EW-TOPSIS method are objective and comprehensive,which can be used for the overall quality evaluation of Solanum nigrum.

BACKGROUND:Autophagy and ferroptosis play important roles in the development of chronic kidney disease,but the molecular mechanisms and gene targets related to autophagy and ferroptosis in renal tissue of chronic kidney disease are still unclear. OBJECTIVE:To screen differentially expressed genes in chronic kidney disease-related datasets based on bioinformatics,and to explore potential key biomarkers suitable for screening renal function progression in patients with chronic kidney disease. METHODS:(1)The GSE137570 dataset was obtained from GEO database to screen the differentially expressed genes by Networkanalyst database analysis.Ferroptosis and autophagy related targets were obtained by OMIM,GENECARD,FerrDb and HAMdb databases.The respective data were intersected to obtain autophagy-ferroptosis related differentially expressed genes in chronic kidney disease for parallel enrichment analysis.The STRING website was used to construct the protein-protein interaction network of differentially expressed genes,which was imported into Cytoscape software and analyzed by MCODE and Cytohubba plug-in to screen potential core targets.Enrichment analysis was performed to obtain the functions of these potential core targets.(2)In the in vitro experiment,mouse renal tubular epithelial cells were divided into two groups:the control group received no intervention,while the model group was stimulated with 5 ng/mL transforming growth factor β1 for 24 hours to induce mesenchymal transformation of renal tubular epithelial cells.Flow cytometry was used to measure the levels of reactive oxygen species and changes in mitochondrial membrane potential in the cells.RT-PCR was employed to assess ferroptosis,autophagy-related markers,and the mRNA expression of potential core targets in the cells. RESULTS AND CONCLUSION:After screening the GSE137570 dataset,a total of 480 differentially expressed genes were obtained,including 104 upregulated genes and 376 downregulated genes(log2|(FC)|>1,P<0.05).There were 562 ferroptosis-related targets and 1 266 autophagy-related targets obtained from the OMIM,GENECARD,FerrDb,and HAMdb databases.Intersection of differentially expressed genes with ferroptosis-and autophagy-related targets yielded 15 ferroptosis-related targets and 18 autophagy-related targets,respectively.The enrichment analysis results indicate that ferroptosis-related differentially expressed genes are primarily involved in biological processes such as sulfur amino acid metabolism,neutrophil degranulation,and ferroptosis signaling pathways.Autophagy-related differentially expressed genes are mainly enriched in biological processes such as platelet degranulation,extracellular matrix degradation,and receptor tyrosine kinase signaling.After screened by MCODE and CytoHubba,key genes were identified in the protein-protein interaction network,including CD44,ALB,TIMP1,PLG,CCL2,and DPP4.Immune infiltration analysis results indicate that immune cells such as B cells,CD4+ T cells,NK cells,and monocytes show significant differential expression in renal tissue after chronic kidney disease,and the core targets are also significantly correlated with these immune cells(P<0.05).The results of receiver operator characteristic curve analysis further demonstrate that the pathological progression of chronic kidney disease can be effectively diagnosed by CD44,ALB,TIMP1,PLG,CCL2,and DPP4.Single-cell sequencing results show that,except for PLG,the expression of target genes in the renal tissue of mice in each model group is generally consistent with the results of this experiment.RT-PCR results demonstrate that,for the validation of autophagy and ferroptosis phenotypes,compared with the control group,the model group shows a significant decrease in mRNA expression of LC3B,Nrf2,and SLC7A11(P<0.05),and a significant increase in P62 mRNA expression(P<0.05).Regarding the validation of potential core targets,compared with the control group,the model group exhibits a significant decrease in mRNA expression of ALB and PLG(P<0.05),and a significant increase in TIMP1 and CCL2 mRNA expression(P<0.05).Overall,these findings indicate that,through bioinformatics analysis and experimental validation,CD44,ALB,TIMP1,PLG,and CCL2 are abnormally expressed in the renal tissue of patients with chronic kidney disease,closely correlated with estimated glomerular filtration rate and tubulointerstitial fibrosis,and maybe play a predictive role in the progression of chronic kidney disease.

Autoimmune diseases (ADs) arise from an abnormal immune response of the body against substances and tissues normally present in the body. More than a hundred of ADs have been described in the literature so far. Although their etiology remains largely unclear, various types of ADs tend to share more associated genes with other types of ADs than with non-AD types. Here we present GAAD, a gene and AD association database. In GAAD, we collected 44,762 associations between 49 ADs and 4249 genes from public databases and MEDLINE documents. We manually verified the associations to ensure the quality and credibility. We reconstructed and recapitulated the relationships among ADs using their shared genes, which further validated the quality of our data. We also provided a list of significantly co-occurring gene pairs among ADs; with embedded tools, users can query gene co-occurrences and construct customized co-occurrence network with genes of interest. To make GAAD more straightforward to experimental biologists and medical scientists, we extracted additional information describing the associations through text mining, including the putative diagnostic value of the associations, type and position of gene polymorphisms, expression changes of implicated genes, as well as the phenotypical consequences, and grouped the associations accordingly. GAAD is freely available at http://gaad.medgenius.info.
Autoimmune Diseases ; genetics ; Data Mining ; Databases, Factual ; Gene Regulatory Networks ; Genetic Association Studies ; Humans