Objective:To analyze the gene chip related to dermatomyositis based on bioinformatics,to explore the immune in-filtration mechanism of key genes in dermatomyositis by CIBERSORT deconvolution algorithm,and to predict the therapeutic targets of dermatomyositis by network pharmacology.Methods:The gene microarray of dermatomyositis was searched in GEO database,and the differentially coexpressed genes were screened and analyzed.The differentially coexpressed genes were analyzed by GO analysis,KEGG analysis,protein interaction network construction(PPI)by R software package.Verify the expression levels of key genes,and the correlation of immune cell infiltration was analyzed by CIBERSORT deconvolution method.Through the medical ontology informa-tion retrieval platform Coremine medical database,the traditional Chinese medicine treatment targets of dermatomyositis were screened and summarized.Results:A total of 196 differentially expressed genes were screened.GO enrichment analysis showed that these differentially expressed genes were mainly concentrated in defense response to virus,blood particles,double-stranded RNA binding,polypeptide antigen binding,and so on.KEGG enrichment analysis showed that it was enriched in RIG-Ⅰ-like receptor sig-nal pathway,Toll-like receptor signal pathway and other signal pathways related to the pathogenesis of dermatomyositis.Finally,four key genes of dermatomyositis,STAT1,ISG15,IRF7 and IRF9 were obtained.Through CIBERSORT algorithm,M1 macrophages,M2 macrophages and CD8+T cells were the three kinds of cells with the highest average proportion and the most obvious immune infil-tration,and there was a significant positive correlation between activated natural killer cells and activated dendritic cells,while there was a significant negative correlation between resting mast cells and activated mast cells.The therapeutic targets of traditional Chinese medicine such as fish brain stone were predicted based on Coremine medical database;through channel analysis,it could be found that these traditional Chinese medicines are mainly attributed to liver meridian,lung meridian,spleen meridian;efficacy analysis is mainly focused on clearing heat,detoxification,promoting blood circulation and removing blood stasis,relieving cough and resolving phlegm and so on.Conclusion:Four key genes and some key signal pathways of dermatomyositis,STAT1,ISG15,IRF7 and IRF9 were obtained by bioinformatics method,the immune infiltration mechanism was analyzed by CIBERSORT algorithm,and the thera-peutic potential targets of traditional Chinese medicine were screened out to provide direction for the pathogenesis and treatment of der-matomyositis.

Objective:Bidirectional causal associations of 41 cytokines with atopic dermatitis(AD)were explored based on a Mendelian randomization(MR)approach.Methods:Pooled data from genome wide association study(GWAS)of 41 cytokines and AD were utilized for instrumental variable(IV)screening,and single nucleotide polymorphism(SNP)affecting the results of MR analyses was excluded by the MR-PRESSO outlier test as well as by the MR Steiger filtering method.Two-sample bidirectional MR analyses were performed using inverse variance weighting(IVW),MR-Egger regression,and weighted median methods(WM).MR-Egger intercept term test and Cochran's Q test were performed to test the pleiotropy and heterogeneity of IV,and MR results were visu-alized by scatterplots,funnel plots,and leave-one-out plots.Results:Forward MR analysis showed that MIG(IVW:OR=0.89;95%CI:0.81～0.97;P=0.006)reduced the risk of AD development.In contrast,IL-5(IVW:OR=1.17;95%CI:1.01～1.36;P=0.042)and IL-18(MR Egger:OR=1.17;95%CI:1.03～1.33;P=0.030)increased the risk of AD development.Inverse MR analysis showed a potential causal association between AD and increased MIG(IVW:Beta=0.10;95%CI:0.02～0.17;P=0.014).None of the sensitivity analyses indicated pleiotropy and heterogeneity of the included IV.Conclusion:MIG may be an important marker in the progression of AD with a potential bidirectional causal association with risk of morbidity.IL-5 and IL-18 have a potential positive causal association for AD.

Objective:Bidirectional causal associations of 41 cytokines with atopic dermatitis(AD)were explored based on a Mendelian randomization(MR)approach.Methods:Pooled data from genome wide association study(GWAS)of 41 cytokines and AD were utilized for instrumental variable(IV)screening,and single nucleotide polymorphism(SNP)affecting the results of MR analyses was excluded by the MR-PRESSO outlier test as well as by the MR Steiger filtering method.Two-sample bidirectional MR analyses were performed using inverse variance weighting(IVW),MR-Egger regression,and weighted median methods(WM).MR-Egger intercept term test and Cochran's Q test were performed to test the pleiotropy and heterogeneity of IV,and MR results were visu-alized by scatterplots,funnel plots,and leave-one-out plots.Results:Forward MR analysis showed that MIG(IVW:OR=0.89;95%CI:0.81～0.97;P=0.006)reduced the risk of AD development.In contrast,IL-5(IVW:OR=1.17;95%CI:1.01～1.36;P=0.042)and IL-18(MR Egger:OR=1.17;95%CI:1.03～1.33;P=0.030)increased the risk of AD development.Inverse MR analysis showed a potential causal association between AD and increased MIG(IVW:Beta=0.10;95%CI:0.02～0.17;P=0.014).None of the sensitivity analyses indicated pleiotropy and heterogeneity of the included IV.Conclusion:MIG may be an important marker in the progression of AD with a potential bidirectional causal association with risk of morbidity.IL-5 and IL-18 have a potential positive causal association for AD.

Objective:To analyze the gene chip related to dermatomyositis based on bioinformatics,to explore the immune in-filtration mechanism of key genes in dermatomyositis by CIBERSORT deconvolution algorithm,and to predict the therapeutic targets of dermatomyositis by network pharmacology.Methods:The gene microarray of dermatomyositis was searched in GEO database,and the differentially coexpressed genes were screened and analyzed.The differentially coexpressed genes were analyzed by GO analysis,KEGG analysis,protein interaction network construction(PPI)by R software package.Verify the expression levels of key genes,and the correlation of immune cell infiltration was analyzed by CIBERSORT deconvolution method.Through the medical ontology informa-tion retrieval platform Coremine medical database,the traditional Chinese medicine treatment targets of dermatomyositis were screened and summarized.Results:A total of 196 differentially expressed genes were screened.GO enrichment analysis showed that these differentially expressed genes were mainly concentrated in defense response to virus,blood particles,double-stranded RNA binding,polypeptide antigen binding,and so on.KEGG enrichment analysis showed that it was enriched in RIG-Ⅰ-like receptor sig-nal pathway,Toll-like receptor signal pathway and other signal pathways related to the pathogenesis of dermatomyositis.Finally,four key genes of dermatomyositis,STAT1,ISG15,IRF7 and IRF9 were obtained.Through CIBERSORT algorithm,M1 macrophages,M2 macrophages and CD8+T cells were the three kinds of cells with the highest average proportion and the most obvious immune infil-tration,and there was a significant positive correlation between activated natural killer cells and activated dendritic cells,while there was a significant negative correlation between resting mast cells and activated mast cells.The therapeutic targets of traditional Chinese medicine such as fish brain stone were predicted based on Coremine medical database;through channel analysis,it could be found that these traditional Chinese medicines are mainly attributed to liver meridian,lung meridian,spleen meridian;efficacy analysis is mainly focused on clearing heat,detoxification,promoting blood circulation and removing blood stasis,relieving cough and resolving phlegm and so on.Conclusion:Four key genes and some key signal pathways of dermatomyositis,STAT1,ISG15,IRF7 and IRF9 were obtained by bioinformatics method,the immune infiltration mechanism was analyzed by CIBERSORT algorithm,and the thera-peutic potential targets of traditional Chinese medicine were screened out to provide direction for the pathogenesis and treatment of der-matomyositis.

Objective To investigate the clinical features of Menkes disease(MD)caused by ATP7A gene mutation.Methods Clinical data of one MD patient was retrospectively analyzed,and the literature on the MD cases was reviewed.Results The patient was a 7-month-old male.The initial symptoms were epilepsy,feeding difficulties and psychomotor retardation,followed by distinctive facial appearance,hair abnormality,pectus excavatum and hypotonia.Biochemical tests revealed reduced serum ceruloplasmin and copper.Brain MRI showed diffuse cerebral atrophy,cerebral dysplasia and subdural effusion.Genetic testing showed that there was a new hemizygous mutation c.2916+2(IVS14)T＞C in the ATP7A gene splicing site on the X chromosome,which verified that the mother was a heterozygous carrier with a normal phenotype.Conclusions MD often starts in infancy and childhood.MD may involve multi-system such as the nervous system and connective tissues,and should be diagnosed with genetic testing.

Objective:To analyze the changes of pathogen spectrum of pulmonary infection in human immunodeficiency virus (HIV) infection/acquired immunodeficiency syndrome (AIDS) patients before and during coronavirus disease 2019 (COVID-19) epidemic.Methods:The clinical data of hospitalized HIV infection/AIDS patients with pulmonary infection confirmed by etiology and/or imaging examinations in the Department of Infection and Immunity, Shanghai Public Health Clinical Center, Fudan University from January 2017 to December 2022 were collected, including the types of pathogens, the peripheral blood CD4 + T lymphocyte counts at admission due to pulmonary infection, and the treatment outcome of the patients at discharge. The changes of pathogen spectrum of pulmonary infection before COVID-19 epidemic (2017 to 2019) and during the epidemic (2020 to 2022) were analyzed, and their effects on adverse treatment outcomes (death during hospitalization or automatic discharge) were analyzed. Statistical analysis was performed using the chi-square test, trend chi-square test or Kruskal-Wallis test. Results:The proportion of patients with pulmonary infection during the epidemic was lower than that before the epidemic, the difference was statistically significant (23.01%(1 061/4 612) vs 28.68%(1 463/5 102), χ2=40.76, P<0.001). From 2017 to 2022, the proportion of hospitalized HIV infection/AIDS patients with pulmonary infection showed a downward trend ( χ2trend=8.81, P<0.001). Among the pathogens causing pulmonary infection from 2017 to 2022, bacteria, mycobacteria, and fungi were the three main pathogenic pathogens, accounting for 48.77%(1 231/2 524), 32.13%(811/2 524), and 14.34%(362/2 524), respectively. The proportion of bacterial infection decreased from 55.02%(805/1 463) before the epidemic to 40.15%(426/1 061) during the epidemic, and the proportion of fungal infection increased from 9.23%(135/1 463) to 21.39%(227/1 061), the differences were both statistically significant ( χ2=54.45 and 74.11, respectively, both P<0.001). There was no significant difference in the proportion of mycobacteria between before and during the epidemic ( P=0.169), but the proportion of Mycobacterium tuberculosis (MTB) infection decreased from 22.01%(322/1 463) before the epidemic to 15.08%(160/1 061) during the epidemic, while the proportion of nontuberculous mycobacterium (NTM) infection increased from 7.11%(104/463) to 11.78%(125/1 061), the differences were both statistically significant ( χ2=19.11 and 16.28, respectively, both P<0.001). There was a significant difference in the pathogen spectrum of pulmonary infection before and during the epidemic ( χ2=128.91, P<0.001). There was a significant difference in the peripheral blood CD4 + T lymphocyte counts of patients with MTB, NTM, Pnenmocystis, Talaromycosis marneffei and Cryptococcus infection ( H=71.92, P<0.001). There were 63.74%(109/171) of Pneumocystis infection and 67.65%(69/102) of Talaromycosis marneffei infection occurred in patients with CD4 + T lymphocyte count<50/μL. Among the patients with pulmonary infection, the proportion of patients with adverse treatment outcomes during the epidemic was higher than that before the epidemic, and the difference was statistically significant (13.29%(141/1 061) vs 10.39%(152/1 463), χ2=5.04, P=0.025). Among the patients with pulmonary infection who developed adverse treatment outcomes, the top three pathogens (from high to low) were bacteria (63.48%(186/293)), mycobacteria (27.65%(81/293)), and fungi (6.83%(20/293)). The proportion of adverse treatment outcomes caused by bacterial infection decreased during the epidemic compared with that of before the epidemic (71.71%(109/152) vs 54.61%(77/141), χ2=9.23, P=0.002), while the proportion of adverse treatment outcomes caused by fungal infection increased (2.63%(4/152) vs 11.35%(16/141), χ2=8.74, P=0.003), and the differences were both statistically significant. The proportion of adverse treatment outcomes caused by mycobacterial infection increased, but without statistically significant (23.03%(35/152) vs 32.62%(46/141), χ2=3.37, P=0.066), among which there was no difference in the proportion of adverse treatment outcomes caused by MTB infection (13.82%(21/152) vs 14.89%(21/141), χ2=0.07, P=0.793), while the proportion of adverse treatment outcomes caused by NTM infection increased (5.92%(9/152) vs 14.89%(21/141), χ2=6.41, P=0.011). There was a significant difference in the pathogen spectrum of pulmonary infection patients with adverse treatment outcomes before and during the epidemic ( χ2=12.22, P=0.007). Conclusions:Among the spectrum of pathogens causing pulmonary infection and adverse treatment outcomes of HIV infection/AIDS patients during the epidemic, compared with that before the epidemic, the proportion of bacterial decreases, while the proportion of fungi increases, and the proportion of mycobacteria remains stable with the proportion of NTM increasing. The proportion of MTB causing pulmonary infection decreases, while the proportion of MTB causing adverse treatment outcomes remains stable.

O'Sullivan-Mcleod syndrome is a very rare variant of MND with a good prognosis. Its clinical feature is distal lower motor neuron syndrome of both upper limbs, and there is no effective treatment at present. We reported a case of O'Sullivan-Mcleod syndrome in this paper.The patient exhibited with middle-aged progressive distal muscle weakness and atrophy of both upper limbs, without sensory, cognitive or behavioral impairment and without pyramidal tract sign. Laboratory examination, imaging and genetic tests showed no obvious abnormalities. EMG revealed neurogenic damage to the small muscles of both hands. Now we retrospectively analyzed the clinical features of a patient with O'Sullivan-McLeod syndrome, and data from 18 cases for comparative analysis, in order to improve its understanding by clinicians.

Malignant cerebral edema (MCE) can lead to deterioration of neurological function in patients with acute ischemic stroke, and significantly increase the mortality and disability rate. Therefore, early detection and intervention of MCE is crucial for saving patients' lives. This article reviews the predictors and preventive scales of MCE after acute ischemic stroke.

Objective To investigate the expression of S100A16 in pancreatic cancer and its clinical significance. Methods Immunohistochemical experiment was used to detect the expression of S100A16 protein in pancreatic cancer tissues and adjacent tissues, and we analyzed the relation between S100A16 positive expression and clinicopathological parameters, prognosis of pancreatic cancer patients. PPI was used to predict a protein relationship network that directly interacted with S100A16. Results The positive rate of S100A16 expression in cancer tissues was significantly higher than that in adjacent tissues (P=0.001). S100A16 expression was higher in patients with vascular infiltration and lymph node metastasis. The overall survival time of patients with pancreatic cancer was related to tumor size, TNM stage and S100A16 expression level. Multivariate analysis showed that the expression level of S100A16 was an independent risk factor for the prognosis of pancreatic cancer patients, and the risk of death in patients with high S100A16 expression increased by 1.5 times. PPI predicted that S100A16 and S100A14, IL36G, PITX1, PERP played an important role in the interaction network. Conclusion Pancreatic cancer patients with high S100A16 expression have poor prognosis. The positive expression of S100A16 is an independent prognostic indicator.

Objective To retrospectively analyze the outcomes of wake-up stroke (WUS) patients with occlusion of large vessel occlusion (LVO), who were selected for mechanical thrombectomy according to the mismatch of Alberta Stroke Program Early CT Score (ASPECTS) based on arterial spin labeling (ASL) and diffusion-weighted image (DWI) on admission magnetic resonance (MR) scans. Methods Twelve consecutive WUS patients with acute LVO of the anterior circulation undergoing MR scans with ASL and DWI prior to thrombectomy were retrospectively evaluated. The mismatch of ASPECTS was defined as the difference between ASL-ASPECTS and DWI-ASPECTS, and a higher score indicates a greater mismatch. Results The procedures led to successful reperfusion in all the cases (Thrombolysis in Cerebral Infarction Grade 2b-3). Eleven patients (91.7％) had significantly decreased National Institute of Health Stroke scale (NIHSS) score at discharge. A mRS score of≤2 at 90 days was achieved in 8 of the 12 patients (66.7％). Conclusion The mismatch between ASPECTS assessed based on ASL and DWI can detect a true mismatch in patients with acute LVO of the anterior circulation, and can be used for rapid screening of patients eligible for thrombectomy.