Interferon stimulating factor STING, a transmembrane protein residing in the endoplasmic reticulum, is extensively involved in the sensing and transduction of intracellular signals and serves as a crucial component of the innate immune system. STING is capable of directly or indirectly responding to abnormal DNA originating from diverse sources within the cytoplasm, thereby fulfilling its classical antiviral and antitumor functions. Structurally, STING is composed of 4 transmembrane helices, a cytoplasmic ligand binding domain (LBD), and a C terminal tail structure (CTT). The transmembrane domain (TM), which is formed by the transmembrane helical structures, anchors STING to the endoplasmic reticulum, while the LBD is in charge of binding to cyclic dinucleotides (CDNs). The classical second messenger, cyclic guanosine monophosphate-adenosine monophosphate (cGAMP), represents a key upstream molecule for STING activation. Once cGAMP binds to LBD, STING experiences conformational alterations, which subsequently lead to the recruitment of Tank-binding kinase 1 (TBK1) via the CTT domain. This, in turn, mediates interferon secretion and promotes the activation and migration of dendritic cells, T cells, and natural killer cells. Additionally, STING is able to activate nuclear factor-κB (NF-κB), thereby initiating the synthesis and release of inflammatory factors and augmenting the body’s immune response. In recent years, an increasing number of studies have disclosed the non-classical functions of STING. It has been found that STING plays a significant role in organelle regulation. STING is not only implicated in the quality control systems of organelles such as mitochondria and endoplasmic reticulum but also modulates the functions of these organelles. For instance, STING can influence key aspects of organelle quality control, including mitochondrial fission and fusion, mitophagy, and endoplasmic reticulum stress. This regulatory effect is not unidirectional; rather, it is subject to organelle feedback regulation, thereby forming a complex interaction network. STING also exerts a monitoring function on the nucleus and ribosomes, which further enhances the role of the cGAS-STING pathway in infection-related immunity. The interaction mechanism between STING and organelles is highly intricate, which, within a certain range, enhances the cells’ capacity to respond to external stimuli and survival pressure. However, once the balance of this interaction is disrupted, it may result in the occurrence and development of inflammatory diseases, such as aseptic inflammation and autoimmune diseases. Excessive activation or malfunction of STING may trigger an over-exuberant inflammatory response, which subsequently leads to tissue damage and pathological states. This review recapitulates the recent interactions between STING and diverse organelles, encompassing its multifarious functions in antiviral, antitumor, organelle regulation, and immune regulation. These investigations not only deepen the comprehension of molecular mechanisms underlying STING but also offer novel concepts for the exploration of human disease pathogenesis and the development of potential treatment strategies. In the future, with further probing into STING function and its regulatory mechanisms, it is anticipated to pioneer new approaches for the treatment of complex diseases such as inflammatory diseases and tumors.

The Golgi apparatus (GA) is a key membranous organelle in eukaryotic cells, acting as a central component of the endomembrane system. It plays an irreplaceable role in the processing, sorting, trafficking, and modification of proteins and lipids. Under normal conditions, the GA cooperates with other organelles, including the endoplasmic reticulum (ER), lysosomes, mitochondria, and others, to achieve the precise processing and targeted transport of nearly one-third of intracellular proteins, thereby ensuring normal cellular physiological functions and adaptability to environmental changes. This function relies on Golgi protein quality control (PQC) mechanisms, which recognize and handle misfolded or aberrantly modified proteins by retrograde transport to the ER, proteasomal degradation, or lysosomal clearance, thus preventing the accumulation of toxic proteins. In addition, Golgi-specific autophagy (Golgiphagy), as a selective autophagy mechanism, is also crucial for removing damaged or excess Golgi components and maintaining its structural and functional homeostasis. Under pathological conditions such as oxidative stress and infection, the Golgi apparatus suffers damage and stress, and its homeostatic regulatory network may be disrupted, leading to the accumulation of misfolded proteins, membrane disorganization, and trafficking dysfunction. When the capacity and function of the Golgi fail to meet cellular demands, cells activate a series of adaptive signaling pathways to alleviate Golgi stress and enhance Golgi function. This process reflects the dynamic regulation of Golgi capacity to meet physiological needs. To date, 7 signaling pathways related to the Golgi stress response have been identified in mammalian cells. Although these pathways have different mechanisms, they all help restore Golgi homeostasis and function and are vital for maintaining overall cellular homeostasis. It is noteworthy that the regulation of Golgi homeostasis is closely related to multiple programmed cell death pathways, including apoptosis, ferroptosis, and pyroptosis. Once Golgi function is disrupted, these signaling pathways may induce cell death, ultimately participating in the occurrence and progression of diseases. Studies have shown that Golgi homeostatic imbalance plays an important pathological role in various major diseases. For example, in Alzheimer’s disease (AD) and Parkinson’s disease (PD), Golgi fragmentation and dysfunction aggravate the abnormal processing of amyloid β-protein (Aβ) and Tau protein, promoting neuronal loss and advancing neurodegenerative processes. In cancer, Golgi homeostatic imbalance is closely associated with increased genomic instability, enhanced tumor cell proliferation, migration, invasion, and increased resistance to cell death, which are important factors in tumor initiation and progression. In infectious diseases, pathogens such as viruses and bacteria hijack the Golgi trafficking system to promote their replication while inducing host defensive cell death responses. This process is also a key mechanism in host-pathogen interactions. This review focuses on the role of the Golgi apparatus in cell death and major diseases, systematically summarizing the Golgi stress response, regulatory mechanisms, and the role of Golgi-specific autophagy in maintaining homeostasis. It emphasizes the signaling regulatory role of the Golgi apparatus in apoptosis, ferroptosis, and pyroptosis. By integrating the latest research progress, it further clarifies the pathological significance of Golgi homeostatic disruption in neurodegenerative diseases, cancer, and infectious diseases, and reveals its potential mechanisms in cellular signal regulation.

In view of the few studies on the influence of Armillaria spp. infection on the content of the chemical components in different parts of Polyporus umbellatus sclerotia, this study determined the biomass of P. umbellatus sclerotia and the contents of ergosterol, polyporusterone A, polyporusterone B and polysaccharide in the separated cavity wall of the sclerotia and the uninfected part of the sclerotia in different harvesting years under the conditions of A. gallica and A. mellea infection respectively. According to the difference of content and dynamic changes of the polysaccharide and the steroid substances, the superior Armillaria sp. was screened to obtain the best harvest years of P. umbellatus. Using HPLC and UV-VIS spectrophotometry methods, the contents of ergosterol, polyporusterone A, polyporusterone B and polysaccharide in P. umbellatus sclerotia infected by the two Armillaria spp. in different years were determined. In addition, the differentially expressed genes related to P. umbellatus polysaccharide synthesis were screened according to the transcriptomic data of different parts of P. umbellatus after A. mellea infection. With the increase of years, the biomass of sclerotia infected by different Armillaria spp. had significant differences, and there were significant differences in the four components of sclerotia. The four components of the separated cavity wall of the sclerotia were significantly higher than those of the uninfected part. The best harvest time was the third year after cultivation. Transcriptomic analysis showed that the infection of Armillaria spp. could significantly promote polysaccharide synthesis, which provided a basis for polysaccharide content determination at the molecular level. The study clarified the influence of different Armillaria spp. infection on the accumulation of chemical components of P. umbellatus sclerotia, laying a foundation for exploring the symbiosis mechanism and provided a scientific clue for screening superior Armillaria sp. and guiding the artificial cultivation of P. umbellatus sclerotia.

Objective To analyze the short-term survival and prognostic quality of life of patients with liver cirrhosis complicated by bacterial infection. Methods This study collected and analyzed 300 patients with liver cirrhosis complicated with infection who were hospitalized in the First Affiliated Hospital of Hebei North University, and followed up to discuss their survival and quality of life. Results In this study, the top two causes of infection were spontaneous bacterial peritonitis (60.67% of patients) and pneumonia (50.67% of patients). The second causes were urinary tract infections (15.33%), gastrointestinal infections (12.33%), and other causes. There was no statistically significant difference between male and female patients (P>0.05). In addition, the proportion of hospital infections was 71.00%, and there was no statistically significant difference between male and female patients (P>0.05). A total of 353 strains of pathogenic bacteria were isolated in this study (73.37% of patients with hospital infections). The distribution analysis of pathogenic bacteria showed that the highest proportion of ECO was 35.98%, followed by Klebsiella pneumoniae (18.98%). The distribution trend of 259 strains of pathogenic bacteria among hospital patients was consistent with that of all strains, and the difference was not statistically significant (P>0.05). Gram negative bacteria accounted for 79.60% (281/353) of all detected strains, of which Escherichia coli was mostly detected in patients with spontaneous bacterial peritonitis, Klebsiella Pneumoniae (KPN) and Pseudomonas aeruginosa (PAE) were mostly detected in patients with pneumonia, and Enterococcus (ENF) was mostly detected in patients with urinary tract infection; Among gram-negative bacteria, Staphylococcus epidermidis (SEP) and Staphylococcus aureus (SAU) are mostly found in patients with other infectious causes (blood flow infection, etc.) , and Streptococcus (STR) accounts for a high proportion in patients with Spontaneous bacterial peritonitis. In this study, 9 cases of death prognosis were detected during follow-up, and there was no statistically significant difference in the detection of death prognosis between different bacterial strains in both genders, as well as the difference in detection of death prognosis between hospital infections and out of hospital infections in both genders (P>0.05). There was no statistically significant difference in the detection of death prognosis between males and females due to different causes of infection, P>0.05. The quality of life scores of 291 surviving patients were compared between baseline and follow-up, indicating an increase in follow-up scores, especially in the dimensions of physiological function and physical pain. There was no statistically significant difference between different bacterial strains, infection causes, and hospital/non hospital infections (P>0.05) . Conclusion Spontaneous bacterial peritonitis and pneumonia are the main causes of infection that deserve special attention, and the main pathogens of infection are Gram negative bacteria. Targeted treatment and rehabilitation should be provided for patients with liver cirrhosis complicated by infection. At the same time, the proportion of hospital infections is relatively high, and attention should be paid to, prevention and control measures should be implemented as well.

Objective To investigate the repair mechanism of baicalin on gastric mucosa of chronic atrophic gastritis mice based on the network pharmacology and animal experiments.Methods(1)Applied network pharmacology to predict and analyze the potential key targets of baicalin in the treatment of chronic atrophic gastritis.(2)Animal experiment:40 C57BL/6N mice were randomly divided into normal group,model group,Vitacoenzyme group and baicalin group,10 mice in each group.Except for the normal group,the other three groups of mice were treated with N-methyl-N'-nitro-N-nitrosoguanidine(MNNG)by gavage combined with hunger and satiety disorder method to construct a chronic atrophic gastritis model.At the end of drug administration,the histopathological changes of gastric mucosa were observed by hematoxylin-eosin(HE)staining,the changes of gastrin(GAS)and prostaglandin E2(PGE2)levels in serum were detected by enzyme-linked immunosorbent assay(ELISA),and the mRNA and protein expression levels of Janus tyrosine kinase 1(JAK1),signal transducer and activator of transcription 3(STAT3)in the gastric mucosa were detected by real-time fluorescence quantitative polymerase chain reaction(qRT-PCR)and protein immunoblotting(Western Blot)methods,respectively.Results The results of network pharmacology showed that baicalin could spontaneously bind to the core targets JAK1 and STAT3.The results of animal experiments showed that compared with the normal group,the gastric mucosa of mice in the model group suffered from atrophy,disordered gland arrangement,the presence of a large number of lymphocytes,a significant increase in apoptotic index of the gastric mucosa(P＜0.05),a significant decrease in the levels of GAS and PGE2 in serum(P＜0.05),and a significant increase in the levels of mRNA and protein expressions of JAK1 and STAT3 in the gastric mucosa(P＜0.05);compared with the model group,the pathological changes of gastric mucosa in the Vitacoenzyme group and baicalin group were alleviated,the glands were arranged relatively neatly,the structure was more intact,the apoptosis index of gastric mucosal cells was significantly decreased(P＜0.05),the levels of GAS and PGE2 in serum were significantly increased(P＜0.05),and the mRNA and protein expression levels of JAK1 and STAT3 in gastric mucosa were significantly decreased(P＜0.05).There was no significant difference in the above-mentioned indexes between the baicalin group and the Vitacoenzyme group(P＞0.05).Conclusion Baicalin can effectively repair gastric mucosal lesions in mice with chronic atrophic gastritis,and its mechanism may be related to the down-regulation of mRNA and protein expressions of JAK1 and STAT3.

Objective To analyze the factors associated with pain after arthroscopic rotator cuff bridge suture.Methods According to the inclusion and exclusion criteria,the data of 112 patients with unilateral rotator cuff injury who received arthroscopic bridge suture in our department were collected and were investigated in the form of telephone follow-up.In this study,SPSS 23.0 was used to input data and conduct statistical analysis.Logistic regression analysis was used to analyze the correlation between the above influencing factors and postoperative pain.Results A total of 112 patients were included for statistical analysis,single factor analysis revealed,including course of disease,smoking history,preoperative University of California,Los Angeles(UCLA)score,Constant score,numeric rating scale(NRS),size of rotator cuff tear,whether it was full-thickness tear and degree of tendon retraction might be related to postoperative pain(P<0.05).The age,gender,body mass index(BMI),drinking history,diabetes and hypertension were not related to postoperative pain(P>0.05).Multiple linear regression analysis concluded that there were four factors related to postoperative pain,and the correlation degree was preoperative NRS,preoperative UCLA score,tear size and smoking history.Conclusion The causes of postoperative pain after arthroscopic rotator cauff repair are complex and diverse.Analyzing the cause of postoperative pain can effectively reduce the pain of patients and promote the recovery of shoulder joint function.

Objective:To study the clinical characteristics of congenital esophageal atresia (CEA) and risk factors of mortality associated with esophageal repair (ER) surgery.Methods:From January 2010 to December 2022, patients diagnosed of CEA using chest and abdomen X-ray and esophagography in our hospital were retrospectively reviewed. The patients were assigned into ER group and non-ER group according to the treatments. The ER group was subgrouped into survival group and death group according to the prognosis. Clinical data and outcomes were collected and compared between the groups.Results:A total of 553 cases were enrolled. According to Gross classification, 29 patients (5.2%) were type A, 2 patients (0.4%) were type B, 504 patients (91.1%) were type C, 6 patients (1.1%) were type D and 11 patients (2.0%) were type E. One patient had simple transluminal septal atresia of the esophagus. 406 patients were in ER group and 147 in non-ER group. Compared with ER group, non-ER group had significantly higher incidences of preterm birth, low birth weight and overall malformations (all P<0.05). In ER group, 152 patients (37.4%) received open thoracic surgery (OTS), 243 (59.9%) had video-assisted thoracoscopic surgery (VATS) and 11 (2.7%) were VATS converted to OTS. Postoperative anastomotic leakage (PAL) occurred in 92 patients (22.7%) and 15 patients (3.7%) died after surgery. The median length of hospital stay was 23 (17, 36) d. Compared with the survival group, the death group had higher incidences of preterm birth, low birth weight, VATS converted to OTS, mechanical ventilation after ER, and shorter length of hospital stay (all P<0.05). After adjusted for birth weight, VATS converted to OTS ( OR=9.585, 95% CI 1.899-48.374) and mechanical ventilation after ER ( OR=7.821, 95% CI 1.002-61.057) were risk factors of mortality in ER patients. Conclusions:Non-ER patients have higher incidences of preterm birth, low birth weight and overall malformations than ER patients. VATS is the method of choice for CEA. Preterm birth, low birth weight, VATS converted to OTS and mechanical ventilation after ER are risk factors of mortality in ER patients.