Cyclic GMP-AMP synthase (cGAS), a pivotal molecule in innate immunity, has emerged as a keypoint in interdisciplinary research at the intersection of basic immunology and tumor biology. As a cytosolic nucleic acid sensor, cGAS is primarily characterized by its capacity to recognize double-stranded DNA (dsDNA) in the cytosol. Upon binding to dsDNA, cGAS undergoes a conformational change that promotes its dimerization and subsequent enzymatic activation. Once activated, it catalyzes the synthesis of the second messenger 2',3'-cGAMP from ATP and GTP. cGAMP then binds to the adaptor protein STING, which resides on the endoplasmic reticulum (ER) membrane. The binding process triggers STING to traffic from the ER to the Golgi apparatus, where it is phosphorylated by the kinase TBK1. Phosphorylated STING serves as a docking site for the transcription factor IRF3, facilitating its phosphorylation by TBK1. Once phosphorylated, IRF3 forms dimers and translocates to the nucleus, where it drives the expression of type I interferons and pro-inflammatory cytokines, initiating a potent antimicrobial state. The DNA-sensing mechanism of cGAS is inherently non-selective regarding the origin of its ligand. It readily detects exogenous DNA from invading pathogens, thereby playing an indispensable role in host defense against microbial infections. However, this same mechanism also enables cGAS to recognize self-DNA that leaks from the nucleus or mitochondria into the cytosol under various cellular stress conditions. While critical for immunity, the recognition of self-dsDNA by cGAS can disrupt cellular homeostasis and trigger aberrant inflammatory responses. The loss of self-tolerance can precipitate or exacerbate the pathogenesis of autoimmune disorders such as systemic lupus erythematosus (SLE) and Aicardi-Goutières syndrome (AGS), highlighting the dual role of cGAS as both a sentinel for infection and a potential driver of autoimmune pathology. Notably, the subcellular localization of cGAS is not still. Increasing recent researches have revealed that cGAS is also abundant within the nucleus, challenging the traditional view of it solely as a cytosolic nucleic acid sensor. Within the nucleus, cGAS exhibits non-canonical functions that are distinct from its canonical immunological role. First, cGAS exists in a state of stringent immunological silence in the nucleus, with mechanisms involving its competitive binding to histones and its post-translational modifications which block the activation of cGAS enzymatic activity, thus, effectively preventing it from mounting an autoimmune attack on genomic DNA. Second, cGAS plays a critical role in maintaining genomic stability. Upon DNA damage, cGAS is rapidly recruited to the lesion site and participates in the DNA damage repair process. Moreover, under conditions of DNA replication stress, cGAS contributes to the stabilization of replication forks, preventing the cell from entering a state of uncontrolled hyper-replication. Consequently, in light of the dual role of cGAS in both immune regulation and tumor development, the development of small-molecule drugs targeting cGAS holds significant therapeutic promise. This review summarizes the structural characteristics of cGAS and its canonical function as a pattern recognition receptor in the cytosol, including the types of pathogens it recognizes and the autoimmune responses resulting from erroneous recognition of self-DNA. It then focuses on its emerging non-canonical functions within the nucleus, detailing its nucleocytoplasmic shuttling, the mechanisms underlying its nuclear immune quiescence, and its role in mediating DNA damage repair and replication fork stabilization. Finally, the review discusses the progress and application prospects of small-molecule drugs targeting cGAS for the treatment of autoimmune diseases and cancer.

Cyclic GMP-AMP synthase (cGAS), a pivotal molecule in innate immunity, has emerged as a keypoint in interdisciplinary research at the intersection of basic immunology and tumor biology. As a cytosolic nucleic acid sensor, cGAS is primarily characterized by its capacity to recognize double-stranded DNA (dsDNA) in the cytosol. Upon binding to dsDNA, cGAS undergoes a conformational change that promotes its dimerization and subsequent enzymatic activation. Once activated, it catalyzes the synthesis of the second messenger 2',3'-cGAMP from ATP and GTP. cGAMP then binds to the adaptor protein STING, which resides on the endoplasmic reticulum (ER) membrane. The binding process triggers STING to traffic from the ER to the Golgi apparatus, where it is phosphorylated by the kinase TBK1. Phosphorylated STING serves as a docking site for the transcription factor IRF3, facilitating its phosphorylation by TBK1. Once phosphorylated, IRF3 forms dimers and translocates to the nucleus, where it drives the expression of type I interferons and pro-inflammatory cytokines, initiating a potent antimicrobial state. The DNA-sensing mechanism of cGAS is inherently non-selective regarding the origin of its ligand. It readily detects exogenous DNA from invading pathogens, thereby playing an indispensable role in host defense against microbial infections. However, this same mechanism also enables cGAS to recognize self-DNA that leaks from the nucleus or mitochondria into the cytosol under various cellular stress conditions. While critical for immunity, the recognition of self-dsDNA by cGAS can disrupt cellular homeostasis and trigger aberrant inflammatory responses. The loss of self-tolerance can precipitate or exacerbate the pathogenesis of autoimmune disorders such as systemic lupus erythematosus (SLE) and Aicardi-Goutières syndrome (AGS), highlighting the dual role of cGAS as both a sentinel for infection and a potential driver of autoimmune pathology. Notably, the subcellular localization of cGAS is not still. Increasing recent researches have revealed that cGAS is also abundant within the nucleus, challenging the traditional view of it solely as a cytosolic nucleic acid sensor. Within the nucleus, cGAS exhibits non-canonical functions that are distinct from its canonical immunological role. First, cGAS exists in a state of stringent immunological silence in the nucleus, with mechanisms involving its competitive binding to histones and its post-translational modifications which block the activation of cGAS enzymatic activity, thus, effectively preventing it from mounting an autoimmune attack on genomic DNA. Second, cGAS plays a critical role in maintaining genomic stability. Upon DNA damage, cGAS is rapidly recruited to the lesion site and participates in the DNA damage repair process. Moreover, under conditions of DNA replication stress, cGAS contributes to the stabilization of replication forks, preventing the cell from entering a state of uncontrolled hyper-replication. Consequently, in light of the dual role of cGAS in both immune regulation and tumor development, the development of small-molecule drugs targeting cGAS holds significant therapeutic promise. This review summarizes the structural characteristics of cGAS and its canonical function as a pattern recognition receptor in the cytosol, including the types of pathogens it recognizes and the autoimmune responses resulting from erroneous recognition of self-DNA. It then focuses on its emerging non-canonical functions within the nucleus, detailing its nucleocytoplasmic shuttling, the mechanisms underlying its nuclear immune quiescence, and its role in mediating DNA damage repair and replication fork stabilization. Finally, the review discusses the progress and application prospects of small-molecule drugs targeting cGAS for the treatment of autoimmune diseases and cancer.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Objective:To design a remote monitoring and early warning system of ventilators,so as to adapt to data collection for different types of ventilators,and achieve early warning for abnormal status in operation data of ventilators.Methods:A three-layer structure,which used information gateway of Internet of Things(IoTs)with multi communication standard as the core,and integrated with multiple interfaces,was adopted to construct a remote monitoring and early warning system of ventilators.Boolean function was used to determine strings of incorrect data,and extract respiratory information.Using incremental isolated forest algorithm processed ventilators'operation data for realizing anomaly detection.And then,the detection results were presented through a display module,so as to conduct early warning for existing abnormal situations.Results:The remote monitoring and early warning system of ventilator had an accuracy rate of monitoring over 98.0%for abnormity of different types of ventilators,which timely warning rate was over 98.5%.Conclusion:The designed remote monitoring and early warning system of ventilator can provide clear results of remote monitoring and early warning of ventilator,which can timely find abnormal status,and effectively improve management efficiency for ventilator,and promote the intelligent development of medical treatment.

This study was aimed at identifying the pathogenic bacteria responsible for the death of a young tiger at the Fujian Meihua Mountain South China Tiger Breeding Research Institute.Tissue samples from the lungs,liver,and intestines of the deceased tiger were collected,and the bacteria were cultured inasterile environment.The bacterial strains were characterized according to their morphological and molecular biological properties,including assessment of virulence genes and antibiotic resistance genes,mouse lethality tests,and antibiotic susceptibility evaluations.A predominant bacterial strain isolated from the liver of the deceased tiger was identified as enterotoxigenic Escherichia coli(ETEC)strain Tiger22513F.Phylogenetic analysis of the 16S rRNA gene revealed that the Tiger22513F strain exhibited close genetic similarity to the reference strain ETEC(MF919609.1),with 99.9%nucleotide similarity,and resided on the same evolutionary branch.The Tiger22513F strain contained 11 antibiotic resistance genes(tetA,sul1,sul3,cmlA,floR,blaTEM,blaSHV,blaCMY-2,qnrA,qnrS,and qnrD)along with five virulence genes(VT1,fyuA,tsh,iucD,and ST).Mouse lethality tests indicated significant pathogenicity toward mice,affecting primarily the lungs,liver,and intestines.Antibiotic susceptibility testing demonstrated that this strain exhibited resistance to various classes of beta-lactam antibiotics,as well as quinolones and aminoglycosides.This investigation successfully isolated a multi-drug resistant enterotoxigenic Escherichia coli strain with pronounced pathogenicity from the liver of a deceased tiger;thus providing valuable scientific insights for clinical diagnosis,as well as prevention and control measures,against ETEC infections in South China tigers.

Objective:To explore the relationship between gut microbiota and giant cell arteritis (GCA), and to identifyits potential therapeutic strategies.Methods:Gut microbiota data were obtained from the MiBioGen consortium genome-wide association study (GWAS), and GCA data were obtained from the FinnGen consortium public GWAS. Causal associations between gut microbiota and GCA were assessed using two-sample Mendelian randomization (MR) analyses, including inverse-variance weighted (IVW), weighted median, MR-Egger regression, simple mode, and weighted mode methods. Heterogeneity and horizontal pleiotropy were evaluated, and false positive results were excluded by using the Benjamini-Hochberg (BH) method of multiple hypothesis testing. All analyses were completed using the TwoSampleMR and MRPRESSO software packages (version 4.3.0) in R language. The analysis of the intestinal flora data, followed by conducting network pharmacology analysis were carried out by Cytoscape 3.9.1 and perform molecular docking verification was performed with AutoDock Vina software.Results:IVW simulations revealed 13 gut microbiota taxa were associated with GCA, of which Lachnospiraceae was significantly negatively associated with GCA risk[nSNP=16, OR(95% CI)=0.32(0.16, 0.63), β=-1.15, Se=0.35, P=0.001, FDR<0.05], and there was no heterogeneity (Cochran′s Q test, Q=13.42, P=0.490) as well as horizontal pleiotropy ( P=0.370). Further literature search and computer simulation docking analysis showed that genistein binds to MMP2 with a binding energy of -43.1 kJ/mol. Conclusion:Lachnospiraceae in the gut microbiota was is negatively associated with GCA, and genistein may be able to regulate the abundance of Lachnospiraceae through the MMP2 target to treat GCA, providing a new therapeutic approach for giant cell arteritis.

Objective:To observe the regulatory effects of Tongfenglian capsule on intestinal flora,inflammatory factors and other indicators of gout in rats with gout arthritis(GA),and to explore possible mechanism of Tongfengli capsule on GA.Methods:A total of 36 male SD rats were randomly divided into blank group,Tongfenglian low,medium and high doses(0.216 g/kg,0.432 g/kg,0.864 g/kg)groups,colchicine group(0.18 mg/kg)and model group.Blank group and model group were given the same amount of distilled water,other groups were given the corresponding drug once a day for 14 days.On the 13th day after gavage,GA rat models were prepared according to Coderre modeling method,0.2 ml normal saline was injected into the right ankle joint for blank group,and general conditions of rats were dynamically observed to determine whether the model was established,and the time was recorded.Rate of foot swelling in each group was calculated.Abdominal aorta blood,colon tissue and intestinal contents of rats were collected,and colon length,pathological changes of colon tissue,serum levels of inflammatory factors(IL-1β,TLR4),mRNA expressions of NF-κB and TLR4 inflammatory pathway in intestinal tissue,and intestinal flora of rats were detected.Results:Compared with blank group,swelling rate of ankle joint,serum IL-1β and TLR4 levels,and mRNA expressions of TLR4 and NF-κB in intestinal tis-sue were significantly increased in model group,and a large number of inflammatory cells were infiltrated in the colon by HE staining,showing typical inflammatory pathological changes,colon length decreased significantly,intestinal flora richness and diversity de-creased,ratio of Firmicutes to Bacteroidetes increased,the abundance of Lactobacillus and Bifidobacterium decreased,and the abun-dance of Prevotella and Escherichia coli-Shigella increased.Compared with model group,all the indexes in all Tongfenglian groups were improved,the richness and diversity of intestinal flora were increased,and the reduction of intestinal microbial diversity and mi-crobial community structure caused by monosodiumurate were changed.Conclusion:Mechanism of Tongfenglian capsule alleviating inflammation may be related to the regulation of TLRs/NF-κB signaling pathway.Through the mediation of intestinal flora,Tongfengli-an capsule plays a role in regulating intestinal homeostasis,improving the abundance and diversity of intestinal microorganisms,and playing an intervention role in GA.This microecological intervention mechanism may be a potential means to prevent and treat GA.

Objective To explore the mechanism underlying the role of disulfidptosis-related genes(DRGs)in the disease progression of metabolically associated fatty liver disease(MAFLD)based on bioinformatics.Methods In this study,the GEO database was utilized to screen for eligible MAFLD expression data,conduct differential gene analysis,and identify DRGs through consistent clustering to subtype MAFLD patients.The immune infiltration status among subtypes was further evaluated,and the infiltration of immune cells was analyzed using the CIBERSORT algorithm.The gene modules related to the disease were selected through weighted gene co-expression network analysis(WGCNA).Subsequently,a diagnostic model was constructed based on DRGs using machine learning models,and the performance of the model was verified.Finally,the stability of DRGs among different subtypes was evaluated using an external dataset,and the significance of the results was analyzed using statistical tests.Results Through the analysis of the dataset GSE31803,six disulfide death genes,namely,SLC3A2,NCKAP1,CYFIP1,FLNA,MYL6 and MYH10,which were closely related to the clinical characteristics of MAFLD,were screened out.MAFLD patients were classified into two subtypes,with subtype 1 having a higher level of immune cell infiltration.Key gene modules were identified through WGCNA.Through machine learning screening,the support vector machine(SVM)model was determined as the optimal classification model.External validation confirmed the stability and effectiveness of the key genes in different subtypes of MAFLD.Conclusion Based on DRGs,two highly heterogeneous subtypes of MAFLD were identified,which exhibited significant differences in clinical characteristics,biological processes and immune status,indicating that DRGs play a crucial role in the occurrence and development of MAFLD.

Objective:To explore the prognostic factors of seroma after endoscopic thyroidectomy by breast ap-proach,and construct a nomogram to predict the possibility of cervical seroma.Methods:Data of patients undergoing endoscopic thyroid surgery in Dongguan Tungwah Hospital from January 2022 to May 2024 and Dongguan Songshan Lake Tungwah Hospital from May 2023 to August 2024 were retrospectively analyzed,and 1493 patients meeting the in-clusion criteria were selected.Among them,there were 1048 patients in Dongguan Tungwah Hospital as the training co-hort,1015 patients without seroma group and 33 patients with seroma group.There were 445 patients in Dongguan Songshan Lake Tungwah Hospital as the verification cohort,including 424 patients without seroma and 21 patients with seroma.Multivariate logistic regression analysis was used to obtain relevant independent prognostic factors,and R soft-ware established a nomogram model.Calibration curves,Hosmer-Lemeshow goodness of fit,ROC curves were used to evaluate the calibrability of the nomogram model,and clinical utility was assessed by clinical decision curves.Results:Multivariate logistic regression analysis showed that central lymph node dissection,diabetes,hyperthyroidism,and nod-ule size were independent prognostic factors related to seroma.Based on the prognostic factors,the nomogram of se-roma after ETBA was constructed.The calibration curves of the training and the verification group were in good agree-ment with the observed results,and the Hosmer-Lemeshow goodness of fit test was good,with the training cohort P=0.244 and the verification cohort P=0.803.The ROC curve of the training cohort showed that the area under the curve was 0.810(95%CI:0.740～0.879),and the ROC curve of the verification cohort showed that the area under the curve was 0.815(95%CI:0.722～0.909).Conclusion:The nomogram model based on the relevant prognostic factors ob-tained by multivariate logistic regression analysis has a good prediction effect on the seroma after ETBA,and can provide reasonable and individualized treatment plan for patients.

Objectives:To investigate the safety and efficacy of Cuffstent in the treatment of immediate type Ia endoleak during endovascular aneurysm repair(EVAR)of abdominal aortic aneurysm.Methods:The clinical data of 24 patients with immediate type Ia endoleak during EVAR treated with Cuffstent at the Second Xiangya Hospital of Central South University from January 2019 to December 2022 were retrospectively analyzed.There were 18 males and 6 females with a mean age of(70.3±7.1)years.Results:Of the 24 patients,22 underwent conventional proximal Cuffstent implantation,and 2 underwent fenestrated Cuffstent to preserve unilateral renal artery.Emergency EVAR was performed in 7 patients.The procedure was technically successful in all patients.Immediate disappearance of type Ia endoleak was achieved in 23 patients,whereas 1 patient exhibited mild persistent type Ia endoleak,which was managed conservatively with watchful follow-up.All the 24 patients finished an average of(39.0±15.1)months follow-up,and all patients were alive during the follow-up period.Two patients received aortic reintervention,and one patient received thoracic aortic stent graft implantation due to thoracic aortic penetrating ulcer,and one patient received abdominal aortic aneurysm resection and iliac artery stent implantation due to type II endoleak and iliac artery rupture,respectively.There were no other aorta-related complications and reintervention.Conclusions:Proximal addition of Cuffstent for the management of immediate type Ia endoleak during EVAR is safe and effective.