Numerous research conducted in recent years has revealed that gut microbial dysbiosis, such as modifications in composition and activity, might influence lung tissue homeostasis through specific pathways, thereby promoting susceptibility to lung diseases. The development and progression of lung cancer, as well as the effectiveness of immunotherapy are closely associated with gut flora and metabolites, which influence immunological and inflammatory responses. During abnormal proliferation, non-small cell lung cancer cells acquire more substances and energy by altering their own metabolic pathways. Glucose and amino acid metabolism reprogramming provide tumor cells with abundant ATP, carbon, and nitrogen sources, respectively, providing optimal conditions for tumor cell proliferation, invasion, and immune escape. This article reviews the relationship of immune response with gut flora and metabolic reprogramming in non-small cell lung cancer, and discusses the potential mechanisms by which gut flora and metabolic reprogramming affect the occurrence, development, and immunotherapy of non-small cell lung cancer, in order to provide new ideas for precision treatment of lung cancer patients.
Humans ; Gastrointestinal Microbiome/immunology* ; Carcinoma, Non-Small-Cell Lung/therapy* ; Lung Neoplasms/therapy* ; Immunotherapy ; Metabolic Reprogramming

Testicular histology based on testicular biopsy is an important factor for determining appropriate testicular sperm extraction surgery and predicting sperm retrieval outcomes in patients with azoospermia. Therefore, we developed a deep learning (DL) model to establish the associations between testicular grayscale ultrasound images and testicular histology. We retrospectively included two-dimensional testicular grayscale ultrasound from patients with azoospermia (353 men with 4357 images between July 2017 and December 2021 in The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China) to develop a DL model. We obtained testicular histology during conventional testicular sperm extraction. Our DL model was trained based on ultrasound images or fusion data (ultrasound images fused with the corresponding testicular volume) to distinguish spermatozoa presence in pathology (SPP) and spermatozoa absence in pathology (SAP) and to classify maturation arrest (MA) and Sertoli cell-only syndrome (SCOS) in patients with SAP. Areas under the receiver operating characteristic curve (AUCs), accuracy, sensitivity, and specificity were used to analyze model performance. DL based on images achieved an AUC of 0.922 (95% confidence interval [CI]: 0.908-0.935), a sensitivity of 80.9%, a specificity of 84.6%, and an accuracy of 83.5% in predicting SPP (including normal spermatogenesis and hypospermatogenesis) and SAP (including MA and SCOS). In the identification of SCOS and MA, DL on fusion data yielded better diagnostic performance with an AUC of 0.979 (95% CI: 0.969-0.989), a sensitivity of 89.7%, a specificity of 97.1%, and an accuracy of 92.1%. Our study provides a noninvasive method to predict testicular histology for patients with azoospermia, which would avoid unnecessary testicular biopsy.
Humans ; Male ; Azoospermia/diagnostic imaging* ; Deep Learning ; Testis/pathology* ; Retrospective Studies ; Adult ; Ultrasonography/methods* ; Sperm Retrieval ; Sertoli Cell-Only Syndrome/diagnostic imaging*

BACKGROUND: Based on the China-VHD database, this study sought to develop and validate a Valvular Heart Disease- specific Age-adjusted Comorbidity Index (VHD-ACI) for predicting mortality risk in patients with VHD. METHODS & RESULTS: The China-VHD study was a nationwide, multi-centre multi-centre cohort study enrolling 13,917 patients with moderate or severe VHD across 46 medical centres in China between April-June 2018. After excluding cases with missing key variables, 11,459 patients were retained for final analysis. The primary endpoint was 2-year all-cause mortality, with 941 deaths (10.0%) observed during follow-up. The VHD-ACI was derived after identifying 13 independent mortality predictors: cardiomyopathy, myocardial infarction, chronic obstructive pulmonary disease, pulmonary artery hypertension, low body weight, anaemia, hypoalbuminaemia, renal insufficiency, moderate/severe hepatic dysfunction, heart failure, cancer, NYHA functional class and age. The index exhibited good discrimination (AUC, 0.79) and calibration (Brier score, 0.062) in the total cohort, outperforming both EuroSCORE II and ACCI (P < 0.001 for comparison). Internal validation through 100 bootstrap iterations yielded a C statistic of 0.694 (95% CI: 0.665-0.723) for 2-year mortality prediction. VHD-ACI scores, as a continuous variable (VHD-ACI score: adjusted HR (95% CI): 1.263 (1.245-1.282), P < 0.001) or categorized using thresholds determined by the Yoden index (VHD-ACI ≥ 9 vs. < 9, adjusted HR (95% CI): 6.216 (5.378-7.184), P < 0.001), were independently associated with mortality. The prognostic performance remained consistent across all VHD subtypes (aortic stenosis, aortic regurgitation, mitral stenosis, mitral regurgitation, tricuspid valve disease, mixed aortic/mitral valve disease and multiple VHD), and clinical subgroups stratified by therapeutic strategy, LVEF status (preserved vs. reduced), disease severity and etiology. CONCLUSION The VHD-ACI is a simple 13-comorbidity algorithm for the prediction of mortality in VHD patients and providing a simple and rapid tool for risk stratification.

Allergic rhinitis (AR), a globally prevalent immune-mediated inflammatory condition, is still an incurable disease. In the present study, we have validated the impact of the Kelch-like ECH associated protein 1 (Keap1)-related oxidative stress and inflammatory response in clinical AR patient peripheral blood and nasal swab samples, emphasizing the biological relevance of Keap1 and AR. Targeting Keap1 -nuclear factor erythroid 2-related factor 2 (Nrf2) related anti-oxidative stress may be effective for AR intervention. Drawing inspiration from the Keap1 homodimerization and the E3 ligase characteristics, we herein present a design of novel bivalent molecules for chemical knockdown of Keap1. For the first time, we characterized ternary complexes of Keap1 dimer and one molecule of bivalent compounds. The best bivalent molecule 8 encompasses robust capacity to degrade Keap1 as a homoPROTAC^KEAP1. It efficaciously suppresses inflammatory cytokines in extensively different cells, including human nasal epithelial cells. Moreover, in an AR mouse model, we confirmed that the chemical degradation induced by homoPROTAC^KEAP1 led to therapeutic benefits in managing AR symptoms, oxidative stress and inflammation. In summary, our findings underscore the efficacy of targeting the Keap1 system through the homoPROTAC-ing technology as an innovative and promising treatment strategy for the incurable allergic disorders.

Objective To investigate the effect and mechanism of Liraglutide on the spatial learning and memory function in type 2 diabetes mellitus(T2DM)rats.Methods SD rats were randomly divided into control group(NC),T2DM group(T2DM)and Liraglutide group(Lir).The ability of learning and memory was evaluated by Morris water maze method.Apoptosis of hippocampal neuron was tested by TUNEL staining.The mRNA expression levels of inflammatory cytokines TNF-α,IL-1β and IL-6 were measured by real time-PCR.The protein expressions of heme oxygenase-1(HO-1),NADPH oxidase 1(NOX1),protein B-cell lymphoma-2(Bcl-2)and Bcl2-associated X(Bax)in hippocampus tissues were determined by Western blot.Results Compared with T2DM group,the percent time in target quadrant was increased in Lir group(P<0.05),while the escape latency of day 3 to day 5 was significantly decreased in Lir group(P<0.05).The apoptosis of hippocampal neurons was reduced in Lir group,and the morphological changes,including hyperchromatic cytoplasm and karyopyknosis were alleviated.Compared with T2DM group,MDA content,mRNA level of TNF-α,IL-1β and IL-6,and protein expression of NOX1 and Bax were decreased(P<0.05),while T-AOC,SOD,HO-1 and Bcl-2 protein expression were increased in Lir group(P<0.05).Conclusions Liraglutide ameliorates diabetes-related learning and memory impairment by regulating antioxidant,anti-inflammatory and anti-apoptotic effects in hippocampus.

Objective:Integrating genes and GEO database related cuproptosis chips,to analyze connection between cupropto-sis genes,immune infiltration and myocardial infarction(MI),construct risk prediction model,predict Western medicine and Chi-nese medicine,analyze miRNA-mRNA regulatory network,and to provides a new research direction for the future study of MI-related cuproptosis mechanism and immune infiltration.Methods:By GEO database retrieval of MI related chips,standardized processing and MI-related cuproptosis genes screening were performed,and immunoinfiltration analysis and quantification were performed based on the treated gene expression matrix,correlation between immune infiltrating cells and function was analyzed,as well as their differ-ences in MI group and the control group.Cuproptosis genes that most related to MI in immune infiltration were screened out,and the risk model was constructed to analyze the risk probability of cuproptosis genes in MI.The Enrichr website and Coremine Medical data-base were used to predict cuproptosis-related genes in MI in Western medicine and traditional Chinese medicine.Finally,the up-stream mirnas of FDX1 and SLC31A1 were predicted by miRTarBase,Starbase and Targetscan databases,and miRNA-mRNA regula-tory networks were constructed.Results:Correlation of immune infiltration showed that Tfh cells and B cells had the strongest positive correlation(r=0.68),while regulatory T cells and iDC had the strongest negative correlation(r=-0.63);the difference analysis of im-mune infiltration showed that the differences among mast cells,NK cells and Th1 cells in the MI group at the cellular level were the most significant(P<0.001);and the differences in APC co-inhibition and MHCⅠ at the functional level were the most significant(P<0.001).Six genes with the highest correlation between immune cells and immune function were screened out:ATP7A,DLD,FDX1,LIAS,LIPT1 and SLC31A1.Results of the risk model showed that the high levels of FDX1 and SLC31A1 were negatively correlated with the risk prediction of MI.A total of 21 Western medicines and 30 traditional medicines were predicted by database comparison.miRTarBase,Starbase and Targetscan databases predicted 9 upstream miRNAs of cuproptosis-related genes in MI,including has-miR-122-5p.Conclusion:Tfh cells,B cells,para-inflammatory,typeⅠinterferon response and other related immune cells and functions may play important roles in pathogenesis and prognosis of MI.FDX1 and SLC31A1 as the key genes of cuproptosis process,are negatively correlated with MI.A total of 30 kinds of traditional Chinese medicines including Spirulina,sheep liver,Wen ezhu,Pian jianghuang and Yujin may have potential value in treatment of MI.Finally,9 miRNAs including has-miR-122-5p may play an important role in the regulation of cuproptosis in myocardial infarction.

Delayed gastric emptying (DGE) is a common complication after pancreaticoduodenectomy (PD). The etiology and pathogenesis of DGE have not been fully elucidated in China and globally, and the majority of patients can be cured after general symptomatic treatment. This article reviews the risk factors and pathophysiological mechanisms of DGE after PD, in order to provide a reference for the effective management of DGE after PD in clinical practice.

Objective: To investigate the response characteristics of patients with locally advanced/metastatic non-squamous non-small cell lung cancer (nsq-NSCLC) treated with tislelizumab in combination with chemotherapy in the first line. Methods: Patients with nsq-NSCLC who achieved complete or partial remission after treatment with tislelizumab in combination with chemotherapy or chemotherapy alone in the RATIONALE 304 study, as assessed by an independent review board, were selected to analyze the response characteristics and safety profile of the responders. Time to response (TTR) was defined as the time from randomization to the achievement of first objective response. Depth of response (DpR) was defined as the maximum percentage of tumor shrinkage compared with the sum of the baseline target lesion length diameters. Results: As of January 23, 2020, 128 patients treated with tislelizumab in combination with chemotherapy achieved objective tumor response (responders), representing 57.4%(128/223) of the intention-to-treat population, with a TTR of 5.1 to 33.3 weeks and a median TTR of 7.9 weeks. Of the responders (128), 50.8%(65) achieved first remission at the first efficacy assessment (week 6), 31.3%(40) at the second efficacy assessment (week 12), and 18.0%(23) at the third and subsequent tumor assessments. The percentages of responders who achieved a depth of tumor response of 30% to <50%, 50% to <70% and 70% to 100% were 45.3%(58/128), 28.1%(36/128) and 26.6%(34/128), respectively, with median progression-free survival (PFS) of 9.0 months (95% CI: 7.7 to 9.9 months), 11.5 months (95% CI: 7.7 months to not reached) and not reached (95% CI: 11.8 months to not estimable), respectively. Tislelizumab plus chemotherapy were generally well tolerated in responders with similar safety profile to the overall safety population. Conclusion: Among responders to tislelizumab in combination with chemotherapy for nsq-NSCLC, 82.0%(105/128) achieves response within the first two tumor assessments (12 weeks) and 18.0%(23/128) achieves response at later (18 to 33 weeks) assessments, and there is a trend toward prolonged PFS in responders with deeper tumor response.
Humans ; Antibodies, Monoclonal, Humanized/therapeutic use* ; Antineoplastic Combined Chemotherapy Protocols/adverse effects* ; Carcinoma, Non-Small-Cell Lung/pathology* ; Lung Neoplasms/pathology* ; Treatment Outcome

OBJECTIVE: To develop and validate a user-friendly risk score for older mitral regurgitation (MR) patients, referred to as the Elder-MR score. METHODS: The China Senile Valvular Heart Disease (China-DVD) Cohort Study functioned as the development cohort, while the China Valvular Heart Disease (China-VHD) Study was employed for external validation. We included patients aged 60 years and above receiving medical treatment for moderate or severe MR (2274 patients in the development cohort and 1929 patients in the validation cohort). Candidate predictors were chosen using Cox's proportional hazards model and stepwise selection with Akaike's information criterion. RESULTS: Eight predictors were identified: age ≥ 75 years, body mass index < 20 kg/m², NYHA class III/IV, secondary MR, anemia, estimated glomerular filtration rate < 60 mL/min per 1.73 m², albumin < 35 g/L, and left ventricular ejection fraction < 60%. The model displayed satisfactory performance in predicting one-year mortality in both the development cohort (C-statistic = 0.73, 95% CI: 0.69-0.77, Brier score = 0.06) and the validation cohort (C-statistic = 0.73, 95% CI: 0.68-0.78, Brier score = 0.06). The Elder-MR score ranges from 0 to 15 points. At a one-year follow-up, each point increase in the Elder-MR score represents a 1.27-fold risk of death (HR = 1.27, 95% CI: 1.21-1.34, P < 0.001) in the development cohort and a 1.24-fold risk of death (HR = 1.24, 95% CI: 1.17-1.30, P < 0.001) in the validation cohort. Compared to EuroSCORE II, the Elder-MR score demonstrated superior predictive accuracy for one-year mortality in the validation cohort (C-statistic = 0.71 vs. 0.70, net reclassification improvement = 0.320, P < 0.01; integrated discrimination improvement = 0.029, P < 0.01). CONCLUSIONS The Elder-MR score may serve as an effective risk stratification tool to assist clinical decision-making in older MR patients.