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 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.

KRAS is one of the most frequently mutated human oncogenes. In spite of mounting efforts on the development of direct or indirect inhibition targeting KRAS, little has been achieved because of insurmountable difficulties, titling KRAS "undruggable". Recently, subtype-specific inhibitors have shown great hope. Some KRAS^G12C inhibitors have entered clinical trials, including adagrasib and sotorasib, and have shown preliminary clinical effectiveness. Experiences from the inhibitors targeting the downstream factors of RAS pathways show that the anticancer activity of these drugs will be limited due to the development of drug resistance. Preclinical studies of KRAS^G12C inhibitors have revealed that the application of these agents might be hampered by the drug resistance issue. The current review aims to describe the current status of KRAS^G12C inhibitors, and discuss the mechanisms underlying KRAS^G12C inhibitor resistance, so as to provide the clues for the combat of drug resistance.

Objective: To analyze the disease burden of pancreatic cancer in major Asian countries and forecast the burden of that in China, which helps to provide reference for the prevention and control of pancreatic cancer. Methods: Data on disease burden of pancreatic cancer among global and major Asian countries from on the Global Burden of Disease (GBD) 2019 were collected to describe burden distribution through the absolute numbers or standardized rates of incidence, death and disability adjusted life years (DALY) by year, sex and socio-demographic index. Estimated annual percentage changes (EAPC) was used to assess the trend of standardized rate. The proportion of deaths attributable to risk factors for pancreatic cancer in 2019 was used to compare by age, sex and region. ARIMA model was performed with R language to predict change of age-standardized incidence and death rates of pancreatic cancer from 2020 to 2029. Results: From 1990 to 2019, the standardized incidence rates of pancreatic cancer in China increased from 3.17/100 000 to 5.78/100 000, and the standardized death rate increased from 3.34/100 000 to 5.99/100 000. The increases exceeded other high-income Asia countries. In the past three decades, the standardized incidence, death and DALY rates of pancreatic cancer in global have increased year by year. Among the major countries in Asia, China has the highest growth rate of disease burden (EAPC of standardized incidence rates=2.32%, 95% CI: 2.10%-2.48% and EAPC of standardized death rate=2.25%, 95% CI: 2.03%-2.42%). In addition, incidence and death rates of pancreatic cancer in China are expected to continue on the rise between 2000 and 2029 by ARIMA model. Incidence rate is expected to increase 15.92% and death rate is expected to increase 15.86%. Conclusions: The standardized incidence and death rates of pancreatic cancer in China increase year by year with an increasing trend for the burden of disease. The disease burden of pancreatic cancer is expected to rise due to the increase and aging of the population. Preventive measures should be adopted to decrease the burden of the pancreatic cancer.
Asia/epidemiology* ; Global Burden of Disease ; Humans ; Incidence ; Pancreatic Neoplasms/epidemiology* ; Risk Factors

BACKGROUND: Most Chinese migrants have been faced with obstacles to getting access to local public health services. Young migrants among internal migrants make a major contribution to the economy. However, the establishment of their health records has been ignored. This research was aimed at exploring the status and associated factors of the establishment of health records among young Chinese migrants. METHODS: Data were obtained from the 2017 China Migrants Dynamic Survey (CMDS). Chi-square test and binary logistic regression were performed to investigate the associated factors of the establishment of health records among young Chinese migrants. RESULTS: Approximately 30.2% of young migrants had their health records established in inflow communities. Urban residence, medical insurance (insured), and lower average monthly household income were attributed to the establishment of more health records. Young migrants who were in northeast China and across provinces and immigrated for working or engaging in trade were less likely to have health records established. Young migrants who participated in social activities and public affairs activities and took type of people in touch as natives in the inflow area showed a higher possibility of establishing health records. Meanwhile, receiving health education and hearing about national basic public health services (BPHSs) were beneficial for establishing the health records of more young migrants. CONCLUSION This study showed that the health records of young migrants had a relatively low establishment rate. Sociodemographic and migration characteristics, health status, public health services, and social integration factors were all related to the health record establishment of young Chinese migrants.
Adolescent ; Adult ; China ; Female ; Health Records, Personal ; Humans ; Male ; Transients and Migrants/statistics & numerical data* ; Young Adult

BACKGROUND: Limited published research has examined the relationships of negative life events and coping styles with sleep quality in Chinese junior high school students. We aimed to investigate the prevalence of poor sleep quality and to clarify the role of coping styles between negative life events and sleep quality. METHODS: A cross-sectional study of 3081 students was conducted in Ganzhou City, Jiangxi Province, Southeastern China. Adolescent Self-Rating Life Events Checklist, Simplified Coping Style Questionnaire, and Pittsburg Sleep Quality Index were applied to assess negative life events, coping styles, and sleep quality, respectively. Descriptive analyses, independent-samples t tests, one-way analyses of variance, Pearson correlation analyses, and structural equation modeling (SEM) were applied to analyze the data. RESULTS: The prevalence of poor sleep quality was 26.7%. Negative life events (B = 0.038, P < 0.001) and negative coping style (B = 0.049, P < 0.001) demonstrated a positive association with poor sleep quality, while positive coping style indicated a negative association with poor sleep quality (B = -0.029, P < 0.001). Interactions of negative life events and coping styles with sleep quality were not found (all P > 0.05). The association between negative life events and sleep quality was mediated by negative coping styles. CONCLUSIONS Our results indicated that poor sleep quality was common in these Chinese adolescents. Negative life events and negative coping style were associated with an increased prevalence of poor sleep quality, while the positive coping style was related to a decreased prevalence of poor sleep quality. A negative coping style mediated the association between negative life events and sleep quality.
Adaptation, Psychological ; Adolescent ; Child ; China ; Cross-Sectional Studies ; Humans ; Life Change Events ; Psychology, Adolescent ; Psychology, Child ; Sleep

Objective: Several COVID-19 patients have overlapping comorbidities. The independent role of each component contributing to the risk of COVID-19 is unknown, and how some non-cardiometabolic comorbidities affect the risk of COVID-19 remains unclear. Methods: A retrospective follow-up design was adopted. A total of 1,160 laboratory-confirmed patients were enrolled from nine provinces in China. Data on comorbidities were obtained from the patients' medical records. Multivariable logistic regression models were used to estimate the odds ratio ( Results: Overall, 158 (13.6%) patients were diagnosed with severe illness and 32 (2.7%) had unfavorable outcomes. Hypertension (2.87, 1.30-6.32), type 2 diabetes (T2DM) (3.57, 2.32-5.49), cardiovascular disease (CVD) (3.78, 1.81-7.89), fatty liver disease (7.53, 1.96-28.96), hyperlipidemia (2.15, 1.26-3.67), other lung diseases (6.00, 3.01-11.96), and electrolyte imbalance (10.40, 3.00-26.10) were independently linked to increased odds of being severely ill. T2DM (6.07, 2.89-12.75), CVD (8.47, 6.03-11.89), and electrolyte imbalance (19.44, 11.47-32.96) were also strong predictors of unfavorable outcomes. Women with comorbidities were more likely to have severe disease on admission (5.46, 3.25-9.19), while men with comorbidities were more likely to have unfavorable treatment outcomes (6.58, 1.46-29.64) within two weeks. Conclusion Besides hypertension, diabetes, and CVD, fatty liver disease, hyperlipidemia, other lung diseases, and electrolyte imbalance were independent risk factors for COVID-19 severity and poor treatment outcome. Women with comorbidities were more likely to have severe disease, while men with comorbidities were more likely to have unfavorable treatment outcomes.
Adult ; Aged ; COVID-19/virology* ; China/epidemiology* ; Comorbidity ; Female ; Humans ; Male ; Middle Aged ; Retrospective Studies ; Severity of Illness Index ; Treatment Outcome

Objective:To analyze the characteristics of unmet needs and services of rehabilitation for people with intellectual disability (PIDs). Methods:A total of 250 654 PIDs had been sampled and administration data of unmet needs and services of rehabilitation at provincial level had been analyzed the characteristics of unmet needs and services of rehabilitation, and the related factors of needs and services were analyzed with Logistic Regression. Results:The rate of unmet needs reported by PIDs from high to low were nursing (47.8%), medicine (37.2%), functional training (26.1%), assistive devices (19.8%) and surgery (1.3%). The PIDs reported received service of rehabilitation, including nursing care (43.5%), medicine (29.3%), functional training (27.2%), assistive devices (19.6%) and surgery (0.8%). Logistic Regression Model showed that age and severity of disabilities significantly affect the reported the unmet needs and received services (P < 0.001). Conclusion:PIDs reported unmet needs mainly involved in the fields of nursing care, medicine and rehabilitation training and therapy. The unmet needs and received services had similar structure. It proposed to develop rehabilitation services tailored to PIDs' intellectual function and adaptive behaviors to develop services items and to deliver individualized and precise services.

Objective To use World Health Organization Family International Classifications (WHO-FICs) to explore the framework and approaches of development and research of guidelines of rehabilitation at levels of policies, community and services.Methods The important documents and tools of rehabilitation at international level, including United Nations Convention on the Rights of Persons with Disabilities, WHO World Report on Disability, Community-based Rehabilitation Guideline, Rehabilitation in Health Service System, and International Classification of Diseases (ICD), International Classification of Functioning, Disability and Health (ICF), and International Classification of Health Intervention (ICHI) of WHO-FICs, had been discussed.Results The framework, classifications, diagnosis and description of diseases and functioning, coding, intervention and functioning evaluation based on ICD-11, ICF and ICHI-β-2 had been established for development and implementation of rehabilitation guidelines and Cochrane rehabilitation.Conclusion The framework and systematic approaches of ontology, classification, terminology, coding, diagnosis and description of diseases and functioning, interventions and evaluations for the development and implementation of rehabilitation guidelines had been developed.