OBJECTIVE: To investigate the role and mechanism of the cyclic guanosine monophosphate-adenosine monophosphate synthase/stimulator of interferon gene (cGAS/STING) pathway in oleic acid-induced acute lung injury (ALI) in mice. METHODS: Male wild-type C57BL/6J mice were randomly divided into five groups (each n = 10): normal control group, ALI model group, and 5, 50, 500 μg/kg inhibitor pretreatment groups. The ALI model was established by tail vein injection of oleic acid (7 mL/kg), while the normal control group received no intervention. The inhibitor pretreatment groups were intraperitoneally injected with the corresponding doses of cGAS inhibitor RU.521 respectively 1 hour before modeling. At 24 hours post-modeling, blood was collected, and mice were sacrificed. Lung tissue pathological changes were observed under light microscopy after hematoxylin-eosin (HE) staining, and pathological scores were assessed. Western blotting was used to detect the protein expressions of cGAS, STING, phosphorylated TANK-binding kinase 1 (p-TBK1), phosphorylated interferon regulatory factor 3 (p-IRF3), and phosphorylated nuclear factor-κB p65 (p-NF-κB p65) in lung tissue. Immunohistochemistry was performed to observe STING and p-NF-κB positive expressions in lung tissue. Serum interferon-β (IFN-β) levels were measured by enzyme-linked immunosorbent assay (ELISA). RESULTS: Compared with the normal control group, the ALI model group exhibited significant focal alveolar thickening, intra-alveolar hemorrhage, pulmonary capillary congestion, and neutrophil infiltration in the pulmonary interstitium and alveoli, along with markedly increased pathological scores (10.33±0.58 vs. 1.33±0.58, P < 0.05). Protein expressions of cGAS, STING, p-TBK1, p-IRF3, and p-NF-κB p65 in lung tissue significantly increased [cGAS protein (cGAS/β-actin): 1.24±0.02 vs. 0.56±0.02, STING protein (STING/β-actin): 1.27±0.01 vs. 0.55±0.01, p-TBK1 protin (p-TBK1/β-actin): 1.34±0.03 vs. 0.22±0.01, p-IRF3 protein (p-IRF3/β-actin): 1.23±0.02 vs. 0.36±0.01, p-NF-κB p65 protein (p-NF-κB p65/β-actin): 1.30±0.02 vs. 0.53±0.02, all P < 0.05], positive expressions of STING and p-NF-κB in lung tissue were significantly elevated [STING (A value): 0.51±0.03 vs. 0.30±0.07, p-NF-κB (A value): 0.57±0.05 vs. 0.31±0.03, both P < 0.05], and serum IFN-β levels were also significantly higher (ng/L: 256.02±3.84 vs. 64.15±1.17, P < 0.05). The cGAS inhibitor pretreatment groups showed restored alveolar structural integrity, reduced inflammatory cell infiltration, and decreased hemorrhage area, along with dose-dependent lower pathological scores as well as the protein expressions of cGAS, STING, p-TBK1, p-IRF3 and p-NF-κB p65 in lung tissue, with significant differences between the 500 μg/kg inhibitor group and ALI model group [pathological score: 2.67±0.58 vs. 10.33±0.58, cGAS protein (cGAS/β-actin): 0.56±0.03 vs. 1.24±0.02, STING protein (STING/β-actin): 0.67±0.03 vs. 1.27±0.01, p-TBK1 protein (p-TBK1/β-actin): 0.28±0.01 vs. 1.34±0.03, p-IRF3 protein (p-IRF3/β-actin): 0.32±0.01 vs. 1.23±0.02, p-NF-κB p65 protein (p-NF-κB p65/β-actin): 0.63±0.01 vs. 1.30±0.02, all P < 0.05]. Compared with the ALI model group, positive expressions of STING and p-NF-κB in lung tissue were significantly reduced in the 500 μg/kg inhibitor group [STING (A value): 0.40±0.01 vs. 0.51±0.03, p-NF-κB (A value): 0.43±0.02 vs. 0.57±0.05, both P < 0.05], and serum IFN-β levels were also markedly reduced (ng/L: 150.03±6.19 vs. 256.02±3.84, P < 0.05). CONCLUSIONS The cGAS/STING pathway is activated in oleic acid-induced ALI, leading to exacerbated inflammatory responses and increased lung damage. RU.521 can inhibit cGAS, thereby down-regulating the expression of pathway proteins and cytokines, and providing protection to lung tissue.
Animals ; Acute Lung Injury/chemically induced* ; Male ; Nucleotidyltransferases/metabolism* ; Mice ; Signal Transduction ; Mice, Inbred C57BL ; Membrane Proteins/metabolism* ; Oleic Acid/adverse effects* ; Transcription Factor RelA/metabolism* ; Lung/pathology* ; Interferon Regulatory Factor-3/metabolism* ; Disease Models, Animal

Drug resistance is one of the key factors affecting the effectiveness of cancer treatment methods, including chemotherapy, radiotherapy, and immunotherapy. Its occurrence is related to factors such as mRNA expression and methylation within cancer cells. If drug resistance in patients can be accurately identified early, doctors can devise more effective treatment plans, which is of great significance for improving patients' survival rates and quality of life. Cancer drug resistance prediction based on artificial intelligence (AI) technology has emerged as a current research hotspot, demonstrating promising application prospects in guiding clinical individualized and precise medication for cancer patients. This review aims to comprehensively summarize the research progress in utilizing AI algorithms to analyze multi-omics data including genomics, transcriptomics, epigenomics, proteomics, metabolomics, radiomics, and histopathology, for predicting cancer drug resistance. It provides a detailed exposition of the processes involved in data processing and model construction, examines the current challenges faced in this field and future development directions, with the aim of better advancing the progress of precision medicine.

Polycystic ovary syndrome (PCOS) is a common endocrine and metabolic disorder among women of reproductive age, and its pathogenesis has not been fully elucidated. According to the Rotterdam diagnostic criteria, PCOS can be classified into four clinical phenotypes, which significantly differ in physical parameters such as waist circumference and body mass index (BMI), as well as in sex hormones, anti-Müllerian hormone levels, metabolic diseases, ultrasound findings, and outcomes of assisted reproductive technology. In recent years, with the deepening of research, new classification systems, such as biology-based phenotyping and BMI/insulin resistance classification, have provided new theoretical perspectives for the clinical classification of PCOS. This article systematically reviews the characteristics of different clinical phenotypes of PCOS, aiming to provide a theoretical basis for its clinical diagnosis, individualized management, and patient health education.

Objective To improve the diagnosis and treatment of Streptococcus liver abscesses by analyzing the clinical presentations,antibiotic susceptibility,and treatment strategies of patients.Methods A retrospective analysis was conducted on 21 patients diagnosed with liver abscess caused by Streptococcus from June 2012 to June 2022.The data included demographic information,clinical characteristics,laboratory tests,imaging findings,treatment strategies,and outcomes.Results The 21 patients were 29 to 77 years of age,and 81.0％were male.Clinical manifestations included fever,chills,fatigue,and abdominal pain.Some patients also had headache and altered consciousness,indicating possible concomitant brain abscess.Hematogenous dissemination and biliary tract origin were the most common routes of infection.The predominant pathogen was Streptococcus anginosus group(76.2％).Single pathogen infection was found in 12 cases and mixed infection in 9 cases.All isolates were sensitive to penicillin,cefotaxime,vancomycin,and levofloxacin,but 36.4％(4/11)of the isolates showed resistance to erythromycin and clindamycin.Four patients developed metastatic abscesses,and two experienced septic shock.The main treatment approach was a combination of antibiotics and percutaneous liver puncture drainage,resulting in improvement in 18 patients.Conclusions Liver abscesses caused by Streptococcus are usually non-specific in terms of symptoms.Streptococcus anginosus group is the primary pathogen.Antibiotics combined with percutaneous drainage is an effective treatment approach.It is crucial for clinicians to be aware of potential brain abscesses and the necessity of early intervention.

Objective:To evaluate the relationship between transverse sinus stenosis (TSS) and cerebral blood flow in normal adults based on four-dimensional flow (4D Flow) MRI.Methods:The study was a cross-sectional study. Totally 81 normal volunteers who underwent magnetic resonance venography (MRV) and 4D Flow MRI were prospectively enrolled at Beijing Friendship Hospital, Capital Medical University from January 2020 to December 2022. Based on MRV evaluation of transverse sinus dysplasia, the volunteers were divided into a dysplasia group (26 cases) and a non-dysplasia group (55 cases); The area of the stenosis and the normal transverse sinus at the distal end were measured. The degree of TSS and the bilateral average transverse sinus stenosis (BA-TSS) were calculated. TSS was determined using TSS levels of 1/3, 1/2, and 2/3 as thresholds, and was divided into three groups: no TSS group, unilateral TSS group, and bilateral TSS group, with 28, 39, and 14 cases, 37, 37, and 7 cases, and 43, 36, and 2 cases, respectively. Based on 4D Flow MRI, the blood flow of the internal carotid artery, vertebral artery, superior sagittal sinus, straight sinus, and transverse sinus distal and proximal ends were measured. The cerebral blood flow (bilateral internal carotid artery blood flow+bilateral vertebral artery blood flow), venous sinus return blood flow 1 (superior sagittal sinus blood flow+straight sinus blood flow), return blood flow 2 (sum of bilateral transverse sinus distal end blood flow), return blood flow 3 (sum of bilateral transverse sinus proximal end blood flow), and the ratio of return blood flow to cerebral blood flow were calculated. Independent sample t-test was used to compare the differences between the group with and without transverse sinus dysplasia; Single factor analysis of variance was used to compare the differences between the TSS free group, unilateral TSS group, and bilateral TSS group. Based on single factor linear regression, the relationships between BA-TSS and blood flow parameters were analyzed.Results:There was no statistically significant difference in various blood flow parameters between the group with and without transverse sinus dysplasia (all P>0.05). When using 1/3, 1/2, and 2/3 as thresholds, there was no statistically significant difference in various blood flow parameters between the non TSS group, unilateral TSS group, and bilateral TSS group (all P>0.05). BA-TSS was linearly positively correlated with cerebral blood flow (β=0.986, 95% CI 0.108-1.865, P=0.028), but not linearly correlated with return blood flow 1, 2, and 3 (all P>0.05). The degree of BA-TSS was linearly negatively correlated with return blood flow 1/cerebral blood flow (β=-0.001, 95% CI -0.002-0, P=0.009) and return blood flow 2/cerebral blood flow (β=-0.001, 95% CI -0.002-0, P=0.018), but not with return blood flow 3/cerebral blood flow ( P=0.076). Conclusion:The BA-TSS degree in normal adults is positively correlated with cerebral blood inflow and negatively correlated with the proportion of venous sinus outflow.

Objective:To investigate the changes of T lymphocyte subsets in patients with stage Ⅰ and Ⅱ cervical cancer after surgery and their relationship with postoperative lymph node metastasis according to the International Federation of Gynecology and Obstetrics (FIGO) stage (2014) .Methods:A total of 192 patients with FIGO stage ⅠA, ⅠB1, ⅠB2 and ⅡA1 who received radical cervical cancer resection and pelvic lymph node dissection in People's Hospital of Yuechi County of Sichuan Province and West China Guang'an Hospital of Sichuan University from November 2018 to November 2020 were selected for this study. According to FIGO stage, patients were divided into stage Ⅰ group ( n=85) and stage Ⅱ group ( n=107) . The dynamic changes of T lymphocytes subsets in patients with different FIGO stages were compared before and after surgery. Repeated measurement of variance was used to analyze the levels of T lymphocytes subsets in patients of different stages during treatment. Logistic regression was used to analyze the influencing factors of postoperative lymph node metastasis in patients with cervical cancer. Multivariate logistic regression was used to analyze the relationship between T lymphocytes subsets and postoperative lymph node metastasis. Receiver operator characteristic (ROC) curve was used to analyze the predictive efficacy of T lymphocytes level in postoperative lymph node metastasis. Results:The postoperative lymph node metastasis rate in stage Ⅱ patients [32.71% (35/107) ] was higher than that in stage Ⅰ patients [14.12% (12/85) ], with a statistically significant difference ( χ2=8.86, P=0.003) . Compared with the stage Ⅱ group, the levels of CD3 +, CD4 + T lymphocytes and CD4 +/CD8 + ratio were significantly higher in the stage Ⅰ group 1 day before surgery (all P<0.001) , and the level of CD8 + T lymphocytes was significantly lower ( P<0.001) . The levels of CD3 +, CD4 +, CD8 + T lymphocytes and the ratio of CD4 +/CD8 + showed dynamic changes at different stages after surgery. On 1, 7 and 30 days after surgery, the levels of CD3 +, CD4 + T lymphocytes and the ratio of CD4 +/CD8 + in stage Ⅰ group were higher than those in stage Ⅱ group (all P<0.001) , CD8 + T cell levels were lower than those in stage Ⅱ group (all P<0.001) . There were statistically significant differences in T lymphocytes subsets CD3 +, CD4 +, CD8 + and CD4 +/CD8 + time effect, intergroup effect and interaction effect between the two groups (all P<0.001) . Univariate analysis showed that the pathological type ( OR=1.85, 95% CI: 1.14-2.33, P=0.015) , differentiation degree ( OR=1.93, 95% CI: 1.18-2.67, P=0.024) , depth of myometrial invasion ( OR=2.08, 95% CI: 1.26-2.59, P=0.012) , tumor morphology ( OR=2.17, 95% CI: 1.57-2.63, P=0.009) , parametrial invasion ( OR=1.95, 95% CI: 1.43-2.76, P=0.036) and lymphovascular space invasion ( OR=2.03, 95% CI: 1.28-2.57, P=0.021) were the influencing factors for postoperative lymph node metastasis in patients with FIGO stage Ⅰ and Ⅱ cervical cancer. Multivariate analysis showed that the degree of differentiation ( OR=1.75, 95% CI: 1.08-2.03, P=0.015) , depth of myometrial invasion ( OR=2.30, 95% CI: 1.43-2.84, P=0.021) , parametrial invasion ( OR=2.50, 95% CI: 1.76-2.97, P=0.018) and lymphovascular space invasion ( OR=1.96, 95% CI: 1.03-2.51, P=0.033) were independent factors for postoperative lymph node metastasis in patients with FIGO stage Ⅰ and Ⅱ cervical cancer. Multivariate logistic regression analysis showed that the levels of CD3 +, CD4 +, CD8 + T cells and the ratio of CD4 +/CD8 + in patients with stage Ⅰ and stage Ⅱ cervical cancer 1 day before surgery were independent influencing factors for postoperative lymph node metastasis (all P<0.05) . ROC curve analysis showed that the areas under the curve of CD3 +, CD4 +, CD8 + T lymphocytes levels and the ratio of CD4 +/CD8 + in stage Ⅰ patients 1 day before surgery for predicting postoperative lymph node metastasis were 0.86, 0.82, 0.83, 0.89, respectively, and those in stage Ⅱ patients were 0.90, 0.93, 0.87, 0.95, respectively. CD4 +/CD8 + ratio was significantly more effective in predicting postoperative lymph node metastasis than other indexes (all P<0.001) . Conclusions:The levels of CD3 +, CD4 + T lymphocytes, and the CD4 +/CD8 + ratio in patients with FIGO stage Ⅰ and Ⅱ cervical cancer are significantly higher in 1-30 days after surgery than before, while the level of CD8 + T lymphocytes is significantly lower than before. There is a significant correlation between T lymphocytes subsets and lymph node metastasis after surgery. In addition, low differentiation, depth of myometrial invasion ≥1/2, parametrial invasion, and lymphovascular space invasion are independent risk factors for postoperative lymph node metastasis.

As the application of immune checkpoint inhibitors(ICIs)in the perioperative treatment of melanoma is increasingly introduced at earlier stages,it presents a critical opportunity for the development and clinical translation of neoadjuvant therapy.The results of phaseⅠ/Ⅱ clinical trials on neoadjuvant ICI therapy for melanoma demonstrate that neoadjuvant ICIs effectively improve the pathologic re-sponse rate in melanoma patients.Recent studies have shown that combining ICIs with other treatment modalities,including radiotherapy,chemotherapy,and targeted therapies,can enhance antitumor efficacy of neoadjuvant treatment for patients with melanoma.Optimizing treatment regimens,managing adverse events,identifying and addressing pseudoprogression,and handling cases of oligoprogression have become key areas of research in incorporating ICI regimens into neoadjuvant treatment for patients with melanoma.The search for bio-markers to monitor immunotherapy efficacy is expected to become a major focus of future research.This article provides a review of the re-search progress,controversies,and challenges in the application of ICIs in the neoadjuvant treatment of melanoma,and discusses future re-search directions,aiming to offer insights into the clinical application and development of ICIs in melanoma neoadjuvant therapy.

Immunotherapy has become a pivotal treatment regimen for hepatocellular carcinoma (HCC); however, its efficacy is influenced by various factors. Hepatitis B virus (HBV) infection is one of the primary etiological factors leading to HCC. HBV DNA replication can alter the immune microenvironment through multiple mechanisms, notably by upregulating the expression of programmed cell death protein 1 (PD-1) and its ligand (PD-L1), thereby facilitating tumor immune escape. Paradoxically, this upregulation of PD-1/PD-L1 may enhance the response rate to PD-1/PD-L1 inhibitors and potentiate the antitumor effect. This review aims to summarize current research progress on the relationship between HBV DNA load and the efficacy of PD-1/PD-L1 inhibitors, explore the underlying mechanisms, and provide a scientific basis for promoting personalized treatment strategies for patients with HBV-related HCC.

OBJECTIVE To evaluate the influence of gram-negative bacterial infection on the prognosis of patients with heart failure with reduced ejection fraction(HFrEF),and to explore its effects on biomarker dynamics,car-diac function recovery,rehospitalization rates and all-cause fatality rate.METHODS Clinical data were retrospec-tively collected from 100 patients diagnosed with HFrEF and combined with gram-negative bacterial infection at the Second Affiliated Hospital of Guizhou Medical University and the Cardiovascular Medicine of the Army Medi-cal Center of Chinese PLA from Jan.2022 to Jan.2024.Clinical baseline data,including demographic information,medical history and biomarkers[interleukin-6(IL-6),C-reactive protein(CRP),procalcitonin(PCT),brain natriuretic peptide(BNP),N-terminal pro-brain natriuretic peptide(NT-proBNP)and troponin]were collected through follow-up visits for 12 months.Follow-up visits were conducted at discharge,3 months,6 months and 12 months,left ventricular ejection fraction(LVEF),NYHA classification(New York heart asso-ciation functional classification for heart),rehospitalization status and all-cause fatality rate were recorded.RESULTS Gram-negative bacterial infection significantly increased the rehospitalization and all-cause fatality rates in patients with HFrEF.The cumulative rehospitalization rate reached 45.00％within 12 months,and the all-cause fatality rate was 15.00％(P＜0.05).Inflammatory markers such as IL-6 and CRP were significantly ele-vated at baseline(P＜0.001)and decreased at discharge,while NT-proBNP levels were higher during the follow up period than those after the discharge,positively correlating with the numbers of rehospitalizations and fatality rates(r=0.752,P＜0.001).LVEF and NYHA classification improved in the short term but showed poor long-term prognosis.CONCLUSIONS Gram-negative bacterial infection significantly affects the long-term prognosis of patients with HFrEF,exacerbating cardiac function damage through inflammatory responses,thus increases re-hospitalization and fatality rates.This study provides new directions for clinical management,and emphasize the importance of early infection control.

Polycystic ovary syndrome (PCOS) is a common endocrine and metabolic disorder among women of reproductive age, and its pathogenesis has not been fully elucidated. According to the Rotterdam diagnostic criteria, PCOS can be classified into four clinical phenotypes, which significantly differ in physical parameters such as waist circumference and body mass index (BMI), as well as in sex hormones, anti-Müllerian hormone levels, metabolic diseases, ultrasound findings, and outcomes of assisted reproductive technology. In recent years, with the deepening of research, new classification systems, such as biology-based phenotyping and BMI/insulin resistance classification, have provided new theoretical perspectives for the clinical classification of PCOS. This article systematically reviews the characteristics of different clinical phenotypes of PCOS, aiming to provide a theoretical basis for its clinical diagnosis, individualized management, and patient health education.