Effect of SGLT-2 Inhibitors on Prognosis in Diabetic Patients with Acute Myocardial Infarction: A Systematic Review and Meta-Analysis.

Background: The present meta-analysis aimed to examine the effects of sodium-glucose cotransporter 2 (SGLT2) inhibitors on the prognosis of diabetes patients who experienced acute myocardial infarction (AMI). This investigation encompassed an array of clinical endpoints, comprising cardiovascular death, myocardial reinfarction, all-cause mortality, major adverse cardiovascular events (MACEs), and rehospitalization. Methods: The study was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The PubMed, Cochrane Library, Embase, and Web of Science databases were searched up to October 2023. Studies reporting clinical outcomes in diabetic patients who experienced AMI and were treated with SGLT2 inhibitors (SGLT2-I) were included. Two researchers independently selected the studies and assessed the risk of bias in the included studies using the Cochrane risk of bias tool for Risk for Bias In Non-randomized Studies-of Interventions (ROBINS-I). Results: A total of 2450 publications were initially retrieved; ultimately, five studies involving 5398 patients were included in the meta-analysis. The analysis revealed that SGLT2-I were associated with significantly lower risks of cardiovascular death (odds ratio (OR), 0.34; 95% CI, 0.14-0.82) and all-cause mortality (OR, 0.54; 95% CI, 0.38-0.76). However, SGLT2-I did not lead to a significant decrease in the rate of myocardial reinfarction (OR, 0.91; 95% CI, 0.65-1.29). SGLT2-I did lead to a significant reduction in MACEs (OR, 0.59; 95% CI, 0.35-1.0), but there was significant heterogeneity among the included studies. SGLT2-I also led to a significant reduction in rehospitalizations (OR, 0.45; 95% CI, 0.26-0.76). There was significant heterogeneity in the analysis of rehospitalization, but the effect remained significant when we excluded the main sources of heterogeneity (OR, 0.35; 95% CI, 0.24-0.52). Conclusions: The pooled analyses revealed that SGLT2-I were associated with reductions in all-cause mortality, cardiovascular death, and rehospitalization. In the future, prospective studies with larger sample sizes are needed to confirm and refine these findings.

Causal role of immune cells in asthma: a Mendelian randomization study.

BACKGROUND: Immune cells may have a significant role in the pathophysiology of asthma, according to increasing evidence, although it is yet unclear how immune cells cause asthma. Therefore, we aimed to use Mendelian randomization (MR) methods to investigate this causal relationship. METHODS: This study explored the causal effects between immune cells and asthma using a two-sample MR technique. Using publicly available genetic data, the causal connection between asthma risk and 731 immune cell phenotypes was investigated. Sensitivity analysis guaranteed the results' stability. To further evaluate the existence of reverse causality, we employed reverse MR analysis. RESULTS: According to the inverse-variance weighted (IVW) method, five immune cell phenotypes were found to be statistically significantly associated with asthma risk (p < 0.001). Among them, TCRgd %T cell (OR = 0.968, 95%CI = 0.951 - 0.986), TCRgd %lymphocyte (OR = 0.978, 95%CI = 0.965 - 0.991), HLA DR + NK AC (OR = 0.966, 95% CI = 0.947 - 0.986) and CD3 on CD4 Treg (OR = 0.956, 95%CI= 0.931 - 0.981), four phenotypes that resulted in a decreased risk of asthma. CD25 on transitional (OR = 1.033, 95%CI = 1.014 - 1.052) resulted in an increased risk of asthma. Reverse MR analysis revealed that asthma increases HLA DR + NK AC levels (p < 0.05). CONCLUSION: The results of MR analysis showed a causal relationship between immune cell phenotype and asthma risk, which provides a direction for future asthma treatment.

PLCD3 promotes malignant cell behaviors in esophageal squamous cell carcinoma via the PI3K/AKT/P21 signaling.

BACKGROUND: Phospholipase C Delta 3 (PLCD3) is a member of phospholipase C(PLC) Protein and PLCD3 protein plays a prominent role in many cancers. However, little is known about the role of PLCD3 in esophageal squamous cell carcinoma (ESCC). MATERIAL AND METHODS: We analyzed PLCD3 mRNA and protein expression in ESCC tissues and cell lines by immunohistochemistry, quantitative real-time PCR, and western blot. The correlation between PLCD3 expression and clinicopathological characteristics was also analyzed. CCK8, colony formation, wound-healing, and transwell assays were conducted to measure cell functional alternations. Flow cytometry was performed to assess the apoptosis rate and cell cycle caused by PLCD3 knockdown. Xenograft models in nude mice to clarify the role of PLCD3 in ESCC. Key proteins in the PI3K / AKT signaling pathway after treatment of ECA109 and KYSE150 cells with the AKT inhibitor MK2206 were analyzed by western blot. RESULTS: PLCD3 was highly expressed in ESCC tissues and cell lines. PLCD3 expression levels correlated with pathologic stage and lymphatic metastasis. PLCD3 knockdown inhibited cell proliferation, migration, invasion, promoted apoptosis, and caused the cell cycle arrest in the G1 phase. PLCD3 overexpression promoted cell proliferation, migration, and invasion. In vivo experiments with xenografts demonstrated that PLCD3 promoted ESCC tumorigenesis. Finally, Overexpression of PLCD3 activated the PI3K / AKT / P21 signaling. CONCLUSION: PLCD3 promotes malignant cell behaviors in esophageal squamous cell carcinoma via the PI3K/AKT/P21 signaling and could serve as a potential target for ESCC treatment.

Experiences and requirements in nutritional management of patients with esophageal cancer: a systematic review and qualitative meta-synthesis.

PURPOSE: Nutritional management of patients with esophageal cancer is a significant issue. This systematic review aimed to comprehensively synthesize qualitative research evidence on the experiences and requirements in nutritional management from the perspective of patients with esophageal cancer. METHODS: A systematic review and meta-synthesis of qualitative studies were conducted. Studies written in Chinese or English were retrieved from nine databases, namely, PubMed, Web of Science, Cochrane Library, CINAHL, Embase, CNKI, WanFang, VIP, and SinoMed, from inception to December 23, 2022. After screening the titles, abstracts, and full texts, 19 articles were finally included for quality assessment and meta-synthesis. RESULTS: Three comprehensive themes were derived. These were dietary experiences (perception of symptoms and dietary behaviors), emotional experiences (negative and positive emotions), and social support (inappropriate social support and inadequate nutritional management). CONCLUSIONS: The experiences and requirements of esophageal cancer patients in terms of nutritional management during treatment and rehabilitation were reviewed and factors influencing nutritional management were discussed. The findings suggested that medical institutions should expedite the development of comprehensive nutritional management systems, create conducive nutritional environmental facilities, and establish interdisciplinary teams to implement personalized comprehensive interventional models for the management of patient nutrition. These steps would maximize the effectiveness of nutritional therapy, promote early patient recovery, and bridge the gap between healthcare professionals and patients in the understanding of nutritional management.

A possible combined appraisal pattern: predicting the prognosis of patients after esophagectomy.

OBJECTIVE: To investigate the predictive merit of combined preoperative nutritional condition and systemic inflammation on the prognosis of patients receiving esophagectomy, with the assessment of model construction to extract a multidisciplinary phantom having clinical relevance and suitability. METHODS: The software of R 4.1.2 was utilized to acquire the survival optimal truncation value and the confusion matrix of survival for the continuity variables. SPSS Statistics 26 was employed to analyze the correlation of parameters, where including t-test, ANOVA and the nonparametric rank sum test shall. Pearson chi-square test was used for categorical variables. The survival curve was retrieved by Kaplan-Meier method. Univariate analysis of overall survival (OS) was performed through log-rank test. Cox analysis was for survival analyze. The performance of the prediction phantom through the area under curve (AUC) of receiver operating characteristic curve (ROC), decision curve analysis (DCA), nomogram and clinical impact curve (CIC) was plotted by R. RESULTS: The AUC value of albumin-globulin score and skeletal muscle index (CAS) is markedly superior. Patients with diminished AGS and greater SMI were associated with improved overall survival (OS) and recurrence-free survival (RFS) (P < 0.01). The CAS composite evaluation model was calibrated with better accuracy and predictive performance. The DCA and CIC indicated a relatively higher net revenue for the prediction model. CONCLUSIONS: The prediction model including the CAS score has excellent accuracy, a high net revenue, and favorable prediction function.

McKeown esophagectomy: robot-assisted versus conventional minimally invasive technique-systematic review and meta-analysis.

BACKGROUND AND PURPOSE: This meta-analysis assesses the surgical outcomes between robot-assisted minimally-invasive McKeown esophagectomy and conventional one. METHOD: This meta-analysis searched the Web of Science, PUBMED, and EMBASE from the database's inception to January 2022. Altogether, 1073 records were identified in the literature search. Studies that evaluated the outcomes between robot-assisted minimally-invasive McKeown esophagectomy and conventional one among postoperative patients with oesophageal neoplasms were included. The assessed outcomes involved complications and clinical outcomes. In addition, heterogeneity was analyzed, and evidence quality was evaluated. RESULT: Evidence indicated that RAMIE (minimally-invasive esophagectomy assisted with robot) decreased incidences of lung complications and hospital stay as well as increased harvested lymph nodes. CONCLUSIONS: There was currently little evidence from randomized studies depicting that robot surgery manifested a clear overall advantage, but there was growing evidence regarding the clinical benefits of robot-assisted minimally invasive McKeown esophagectomy over conventional one.

Raddeanin A suppresses lung cancer cell proliferation via induction of apoptosis and increased production of ROS.

At present, in vitro cell experiments have confirmed that RaddeaninA can effectively inhibit the proliferation of some tumor cells, but the effect of RaddeaninA on lung cancer cells has not been observed. Therefore, this study explored its effect on lung cancer cells and its mechanism of action. Human lung cancer cell lines were treated with serum-free medium and varied concentrations of Raddeanin A. Cell proliferation and apoptosis were determined using MTT, and flow cytometric assays, respectively. The intracellular level of ROS was determined using DCFH-DA assay. Protein and mRNA expressions of bax, bcl-2 and cyt c were measured using Western blotting and qRT-PCR. RaddeaninA treatment can promote PC-9 cell apoptosis in a time and dose-dependent manner (p<0.05). Treatment of PC-9 cells with Raddeanin significantly and dose-dependently increased the activities of caspase-9 and caspase-3 (p<0.05), and led to significant and dose-dependent increases in ROS levels (p<0.05). Treatment of PC-9 cells with Raddeanin A led to significant and dose-dependent decreases in mitochondrial membrane potential (p<0.05). It significantly and dose-dependently upregulated bax mRNA and protein expressions, but down-regulated bcl-2 mRNA and protein expressions significantly and dose-dependently (p<0.05). On the other hand, Raddeanin significantly and dose-dependently down-regulated cytoplasmic bax protein expression, while upregulating cyt c expression (p<0.05). Similarly, bax protein expression was significantly and dose-dependently upregulated in mitochondria, but the corresponding cyt c expression was significantly and dose-dependently down-regulated (p<0.05). Raddeanin A is a potential and effective lung cancer chemotherapy drug, which can induce lung cancer cell apoptosis and inhibit proliferation.

Experiences of nurses involved in natural disaster relief: A meta-synthesis of qualitative literature.

AIM: To explore nurses' experiences in natural disaster response. BACKGROUND: Nurses are key to disaster response. There is a growing body of qualitative research exploring this emerging nursing issue. However, there is a need to synthesise and summarise this body of knowledge to identify the overarching elements of how nurses experience working in disaster situations to reflect on their experiences so that we may help shape future clinical practice, research and education. DESIGN: Qualitative meta-synthesis. METHOD: Following PROSPERO guidelines (Moher et al., 2015), an exhaustive and systematic literature search and quality appraisal was undertaken in December 2019 to reveal nurses' experiences during natural disaster response. Sandelowski and Barroso's systematic retrieval, analysis and interpretation of findings method was used to produce a meta-summary of findings from 10 papers evaluating experiences across 9 disasters. A meta-aggregation was used to synthesise the findings from the studies and was methodically quality assessed with PRISMA and CASP. RESULTS: Our findings aggregated data from 42 sub-themes, into the following four themes to capture nurses' experiences after responding to disasters. These included agile response; leadership and innovative problem solving; building resilience; positive communication and need for psychological/emotional support. DISCUSSION: This meta-synthesis provides evidence to illustrate nurses' resilience and leadership capabilities as means to manage and perceive their disaster relief response. Factors such as emotional intelligence, capacity to react to changing situations, to manage scant resources in extreme situations were highlighted in nurses practising in highly stressful environments. Managers can use these examples to support ways to improve disaster management policies, but also, to engage in support for their staff. RELEVANCE TO CLINICAL PRACTICE: The role of nursing staff in disaster rescue is receiving significant attention. Understanding nurses' experiences during disaster rescue can help future leaders to improve capacity to respond and nursing preparedness through education, training and management, but also for continuing emotional support after the event.

Initial Research on Postoperative Management of Tetralogy of Fallot with Major Aortopulmonary Collaterals.

OBJECTIVES: Tetralogy of Fallot (TOF) with major aortopulmonary collaterals (MAPCA) is a well-known but always severe congenital heart disease. This study was designed to explore proper management after radical correction of TOF with MAPCA based on a hierarchical approach. METHODS: The following data were collected from 39 patients planned to undergo radical correction of TOF: age, weight, number of aortopulmonary collaterals, total lumen diameter and collateral diameter-to-body weight ratio, transcatheter occlusion and cardiac catheterization findings, mechanical ventilation time, and ICU monitoring time. The patients were divided into 4 groups by collateral diameter-to-body weight ratio as follows: <0.200 mm/kg (group 1), 0.200-0.500 mm/kg (group 2), >0.500 mm/kg (group 3), and no MAPCA (group 4). Data analysis was performed using IBM SPSS Statistics software for Mac version 22.0 (SPSS Inc., Chicago, Ill., USA) with logistic regression and Fisher's exact test. RESULTS: Most of the patients recovered well after radical correction; postoperative complications occurred in 12 patients and included bloody sputum, low cardiac output syndrome, and severe pulmonary infection that led to tracheotomy. By prolonging the mechanical ventilation time of the patients with postoperative complications, the conditions in 3 patients were improved. However, in the remaining patients, the condition worsened until transcatheter occlusions were performed. Transcatheter occlusion was performed in all 7 patients in group 3 (100%). Only 2 of the 8 patients in group 2 required transcatheter occlusion (25%), and none of the 9 patients in group 1 required transcatheter occlusion (0%). Only 1 patient (group 3) died after radical correction. The transcatheter occlusion results showed a strong association with the total lumen diameter and the collateral diameter-to-body weight ratio (p < 0.05) but no obvious association with age, weight, or the number of aortopulmonary collaterals (p > 0.05). CONCLUSIONS: Postoperative management of patients with TOF and MAPCA has great significance. To reduce the morbidity and mortality, transcatheter coil embolization or surgical ligation should be performed in patients with a collateral diameter-to-body weight ratio of at least 0.500 mm/kg. In patients with values between approximately 0.200 and 0.500 mm/kg, prolongation of mechanical ventilation should have priority over transcatheter occlusion, and for patients with values below 0.200 mm/kg no additional treatment is needed.

Effects of omega-3 fatty acid nutrition on mortality in septic patients: a meta-analysis of randomized controlled trials.

BACKGROUND: A previous systematic review and meta-analysis reported that omega-3 fatty acids nutrition may reduce mortality in septic patients. As new randomized controlled trials began to accumulate, we conducted an update. METHODS: A PubMed database was searched through Feb 2016, and randomized controlled trials comparing omega-3 fatty acids with control were selected by two reviewers independently. RESULTS: Eleven trials randomly assigning 808 patients were included in the present study. Using a fixed effects model, we found no significant effect of omega-3 fatty acids on overall mortality (risk ratio 0.84; 95 % confidence interval (CI): 0.67 to 1.05, P = 0.12), or infectious complications (risk ratio 0.95; 95 % CI: 0.72 to 1.25, P = 0.70). However, the duration of mechanical ventilation was markedly reduced by omega-3 fatty acids (weighted mean differences (WMD) = -3.82; 95 % CI: -4.61 to -3.04; P < 0.00001). A significant heterogeneity was found when the duration of hospital (I (2) = 93 %; WMD = -2.82; 95 % CI: -9.88 to 4.23, P = 0.43), or intensive care stay (I (2) = 87 %; WMD = -2.70; 95 % CI: -6.40 to 1.00, P = 0.15) were investigated. CONCLUSIONS: Omega-3 fatty acids confer no mortality benefit but are associated with a reduction in mechanical ventilation duration in septic patients. However, low sample size and heterogeneity of the cohorts included in this analysis limits the generalizability of our findings.

Integrating IASLC grading and radiomics for predicting postoperative outcomes in stage IA invasive lung adenocarcinoma.

BACKGROUND: The International Association for the Study of Lung Cancer (IASLC) Pathology Committee introduced a histologic grading system for invasive lung adenocarcinoma (LUAD) in 2020. The IASLC grading system, hinging on the evaluation of predominant and high-grade histologic patterns, has proven to be practical and prognostic for invasive LUAD. However, there are still limitations in evaluating the prognosis of stage IA LUAD. Radiomics may serve as a valuable complement. PURPOSE: To establish a model that integrates IASLC grading and radiomics, aimed at predicting the prognosis of stage IA LUAD. METHODS: We conducted a retrospective analysis of 628 patients diagnosed with stage IA LUAD who underwent surgical resection between January 2015 and December 2018 at our institution. The patients were randomly divided into the training set (n = 439) and testing set (n = 189) at a ratio of 7:3. Overall survival (OS) and disease-free survival (DFS) were taken as the end points. Radiomics features were obtained by PyRadiomics. Feature selection was performed using the least absolute shrinkage and selection operator (LASSO). The prediction models for OS and DFS were developed using multivariate Cox regression analysis, and the models were visualized through nomogram plots. The model's performance was evaluated using area under the curves (AUC), concordance index (C-index), calibration curves, and survival decision curve analysis (DCA). RESULTS: In total, nine radiomics features were selected for the OS prediction model, and 15 radiomics features were selected for the DFS prediction model. Patients with high radiomics scores were associated with a worse prognosis (p < 0.001). We built separate prediction models using radiomics or IASLC alone, as well as a combined prediction model. In the prediction of OS, we observed that the combined model (C-index: 0.812 ± 0.024, 3 years AUC: 0.692, 5 years AUC: 0.792) achieved superior predictive performance than the radiomics (C-index: 0.743 ± 0.038, 3 years AUC: 0.633, 5 years AUC: 0.768) and IASLC grading (C-index: 0.765 ± 0.042, 3 years AUC: 0.658, 5 years AUC: 0.743) models alone. Similar results were obtained in the models for DFS. CONCLUSION: The combination of radiomics and IASLC pathological grading proves to be an effective approach for predicting the prognosis of stage IA LUAD. This has substantial clinical relevance in guiding treatment decisions for early-stage LUAD.

Identification and validation of tryptophan metabolism-related lncRNAs in lung adenocarcinoma prognosis and immune response.

BACKGROUND: Tryptophan (Trp) is an essential amino acid. Increasing evidence suggests that tryptophan metabolism plays a complex role in immune escape from Lung adenocarcinoma (LUAD). However, the role of long non-coding RNAs (lncRNAs) in tryptophan metabolism remains to be investigated. METHODS: This study uses The Cancer Genome Atlas (TCGA)-LUAD dataset as the training cohort, and several datasets from the Gene Expression Omnibus (GEO) database are merged into the validation cohort. Genes related to tryptophan metabolism were identified from the Molecular Signatures Database (MSigDB) database and further screened for lncRNAs with Trp-related expression. Subsequently, a prognostic signature of lncRNAs related to tryptophan metabolism was constructed using Cox regression analysis, (Least absolute shrinkage and selection operator regression) and LASSO analysis. The predictive performance of this risk score was validated by Kaplan-Meier (KM) survival analysis, (receiver operating characteristic) ROC curves, and nomograms. We also explored the differences in immune cell infiltration, immune cell function, tumor mutational load (TMB), tumor immune dysfunction and exclusion (TIDE), and anticancer drug sensitivity between high- and low-risk groups. Finally, we used real-time fluorescence quantitative PCR, CCK-8, colony formation, wound healing, transwell, flow cytometry, and nude mouse xenotransplantation models to elucidate the role of ZNF8-ERVK3-1 in LUAD. RESULTS: We constructed 16 tryptophan metabolism-associated lncRNA prognostic models in LUAD patients. The risk score could be used as an independent prognostic indicator for the prognosis of LUAD patients. Kaplan-Meier survival analysis, ROC curves, and risk maps validated the prognostic value of the risk score. The high-risk and low-risk groups showed significant differences in phenotypes, such as the percentage of immune cell infiltration, immune cell function, gene mutation frequency, and anticancer drug sensitivity. In addition, patients with high-risk scores had higher TMB and TIDE scores compared to patients with low-risk scores. Finally, we found that ZNF8-ERVK3-1 was highly expressed in LUAD tissues and cell lines. A series of in vitro experiments showed that knockdown of ZNF8-ERVK3-1 inhibited cell proliferation, migration, and invasion, leading to cell cycle arrest in the G0/G1 phase and increased apoptosis. In vivo experiments with xenografts have shown that knocking down ZNF8-ERVK3-1 can significantly inhibit tumor size and tumor proliferation. CONCLUSION: We constructed a new prognostic model for tryptophan metabolism-related lncRNA. The risk score was closely associated with common clinical features such as immune cell infiltration, immune-related function, TMB, and anticancer drug sensitivity. Knockdown of ZNF8-ERVK3-1 inhibited LUAD cell proliferation, migration, invasion, and G0/G1 phase blockade and promoted apoptosis.

[Inaugural Scalp Metastasis of Pulmonary Squamous Cell Carcinoma: 
A Rare Case Report and Literature Review].

Distant cutaneous metastasis of primary lung squamous cell carcinoma is an exceedingly rare event, with scalp metastasis as the initial clinical presentation even rarer. Scalp skin metastases are prone to be misdiagnosed as other scalp disorders, yet their appearance signifies the deterioration and poor prognosis of lung cancer. This case report documents a female patient presenting initially with scalp folliculitis in dermatology, who was subsequently diagnosed with malignant lung tumor through radiological imaging and referred to Department of Thoracic Surgery. Pathological examination of the excised lesion from the scalp revealed distant metastasis of lung cancer. A review of similar cases reported in literature was conducted. This article aims to enhance understanding and awareness of skin metastasis in lung cancer, to emphasize the importance of this condition, and to improve early recognition and precise diagnosis. It is crucial to prevent clinical misdiagnosis and ensure appropriate treatment, finally leading to improve the prognosis of the patients.
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Combining fecal microbiome and metabolomics reveals diagnostic biomarkers for esophageal squamous cell carcinoma.

Esophageal squamous cell carcinoma (ESCC) is one of the most predominant subtypes of esophageal cancer. The characteristics of the gut microbiome and its metabolites from patients with ESCC have not been adequately studied and discussed. In this study, 40 fecal samples (20 from ESCC patients and 20 from healthy controls) were analyzed by 16S rRNA gene sequencing and untargeted metabolomics. The data sets were analyzed individually and synthesized using various bioinformatics methods. Alpha and beta diversity indicated significant differences in microbial diversity and abundance between ESCC and healthy control feces. At the genus level, the abundance of Phascolarctobacterium, Sutterella, and Streptococcus was significantly increased in ESCC. At the genus level, linear discriminant analysis effect size identified two biomarkers: Bacteroides_stercoris and Prevotella_copri. Untargeted metabolomics analysis revealed 307 differential metabolites between ESCC and healthy control feces, with indoles and derivatives, tropane alkaloids, lipids, and lipid-like molecules in higher relative abundance in ESCC feces than in healthy control feces. Kyoto Encyclopedia of Genes and Genomes enrichment analysis revealed that unsaturated fatty acids (FAs), ascorbate and aldarate metabolism, and hypoxia-inducible factor 1 signaling pathway were significantly associated with differential metabolite. Phenylethanolamine and despropionyl p-fluoro fentanyl could be used as reliable biomarkers to differentiate ESCC from healthy control. The correlation analysis showed that Prevotella may be involved in the synthesis of fatty acyl, carboxylic acids and derivatives, benzenes and substituted derivatives, organic oxygenates, and indoles and derivatives as metabolites. Fusicatenibacter and Lachnospira may be involved in the degradation of indoles and derivatives. Alistipes, Agathobacter, and Parabacteroides may be involved in the synthesis of indoles and derivatives with strong contributions. There is an intricate relationship between the gut microbiome and the levels of several metabolites (e.g., fatty acyls, carboxylic acids and derivatives, indoles, and derivatives). Microbial-associated metabolites can be used as diagnostic biomarkers in therapeutic exploration. Further analysis revealed that Prevotella, Alistipes, Agathobacter, and Parabacteroides might promote ESCC by regulating the synthesis of indoles and their derivatives. The results of this study provide favorable evidence for the early diagnosis of ESCC and subsequent individualized treatment and targeted interventions.IMPORTANCEWe describe for the first time the differences in fecal microbiome composition and metabolites between patients with esophageal squamous cell carcinoma (ESCC) and healthy controls by 16S rRNA gene sequencing and untargeted metabolomics. The results of this study provide a favorable basis for the early diagnosis of ESCC and subsequent targeted interventional therapy.

6-Phosphogluconate dehydrogenase promotes glycolysis and fatty acid synthesis by inhibiting the AMPK pathway in lung adenocarcinoma cells.

Abnormal metabolism has emerged as a prominent hallmark of cancer and plays a pivotal role in carcinogenesis and progression of lung adenocarcinoma (LUAD). In this study, single-cell sequencing revealed that the metabolic enzyme 6-phosphogluconate dehydrogenase (PGD), which is a critical regulator of the pentose phosphate pathway (PPP), is significantly upregulated in the malignant epithelial cell subpopulation during malignant progression. However, the precise functional significance of PGD in LUAD and its underlying mechanisms remain elusive. Through the integration of TCGA database analysis and LUAD tissue microarray data, it was found that PGD expression was significantly upregulated in LUAD and closely correlated with a poor prognosis in LUAD patients. Moreover, in vitro and in vivo analyses demonstrated that PGD knockout and inhibition of its activity mitigated the proliferation, migration, and invasion of LUAD cells. Mechanistically, immunoprecipitation-mass spectrometry (IP-MS) revealed for the first time that IQGAP1 is a robust novel interacting protein of PGD. PGD decreased p-AMPK levels by competitively interacting with the IQ domain of the known AMPKα binding partner IQGAP1, which promoted glycolysis and fatty acid synthesis in LUAD cells. Furthermore, we demonstrated that the combination of Physcion (a PGD-specific inhibitor) and metformin (an AMPK agonist) could inhibit tumor growth more effectively both in vivo and in vitro. Collectively, these findings suggest that PGD is a potential prognostic biomarker and therapeutic target for LUAD.

Inhaled neutrophil elastase inhibitor reduces oleic acid-induced acute lung injury in rats.

RATIONALE: Neutrophil elastases (NE) play an important role in the pathogenesis of acute lung injury (ALI). NE activities are significantly increased in serums and lungs of patients or animals with ALI. Intravenous infusion (IV) of Sivelestat, an NE inhibitor, can reduce ALI. Through inhalation, drugs reach lungs directly and in high concentration. We hypothesized that inhaled Sivelestat would alleviate oleic acid (OA)-induced ALI in rats. METHODS: Rats were anesthetized and mechanically ventilated, and then ALI was induced by OA injection. One hour later, the animals were randomized to receive either Sivelestat (3 mg/kg/h) or saline inhalation. The effect of Sivelestat IV (3 mg/kg/h) was also investigated. All animals were ventilated and observed for 6 h. RESULTS: OA injection increased NE activities in lung tissues and serums. The increase of NE activities in lung tissues and serums markedly reduced by 77%, and 29%, respectively, by the inhalation of Sivelestat; and 53.8%, and 80%, respectively, by Sivelestat IV. Additionally, inhaled Sivelestat resulted in ameliorated lung injury by reducing edema and infiltration of neutrophils in the lung, improved oxygenation and survival. CONCLUSIONS: An over increased NE activity in lungs may play a vital effect in the pathogenesis of OA-induced ALI in rats. Topical application of nebulized Sivelestat, an NE inhibitor, may reduce OA-induced ALI in rats. Sivelestat inhalation can be developed as a novel treatment for ALI.

Development and validation of a machine learning model for survival risk stratification after esophageal cancer surgery.

Background: Prediction of prognosis for patients with esophageal cancer(EC) is beneficial for their postoperative clinical decision-making. This study's goal was to create a dependable machine learning (ML) model for predicting the prognosis of patients with EC after surgery. Methods: The files of patients with esophageal squamous cell carcinoma (ESCC) of the thoracic segment from China who received radical surgery for EC were analyzed. The data were separated into training and test sets, and prognostic risk variables were identified in the training set using univariate and multifactor COX regression. Based on the screened features, training and validation of five ML models were carried out through nested cross-validation (nCV). The performance of each model was evaluated using Area under the curve (AUC), accuracy(ACC), and F1-Score, and the optimum model was chosen as the final model for risk stratification and survival analysis in order to build a valid model for predicting the prognosis of patients with EC after surgery. Results: This study enrolled 810 patients with thoracic ESCC. 6 variables were ultimately included for modeling. Five ML models were trained and validated. The XGBoost model was selected as the optimum for final modeling. The XGBoost model was trained, optimized, and tested (AUC = 0.855; 95% CI, 0.808-0.902). Patients were separated into three risk groups. Statistically significant differences (p < 0.001) were found among all three groups for both the training and test sets. Conclusions: A ML model that was highly practical and reliable for predicting the prognosis of patients with EC after surgery was established, and an application to facilitate clinical utility was developed.

Clinical and immune response characteristics among vaccinated persons infected with SARS-CoV-2 delta variant: a retrospective study.

OBJECTIVES: This study aimed to observe the clinical and immune response characteristics of vaccinated persons infected with the delta variant of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in Yangzhou, China. METHODS: We extracted the medical data of 129 patients with delta-variant infection who were admitted to Northern Jiangsu People's Hospital (Yangzhou, China) between August and September, 2021. The patients were grouped according to the number of vaccine doses received into an unvaccinated group: a one-dose group and a two-dose group. The vaccine used was SARS-CoV-2-inactivated vaccine developed by Sinovac. We retrospectively analyzed the patients' epidemiological, clinical, laboratory, and imaging data. RESULTS: Almost all patients with delta-variant infection in Yangzhou were elderly, and patients with severe/critical illness were over 70 years of age. The rates of severe/critical illness (P=0.006), fever (P=0.025), and dyspnea (P=0.045) were lower in the two-dose group than in the unvaccinated group. Compared to the unvaccinated group, the two-dose group showed significantly higher lymphocyte counts and significantly lower levels of C-reactive protein (CRP), interleukin-6 (IL-6), and D-dimer during hospitalization and a significantly higher positive rate of immunoglobulin G (IgG) antibodies at admission (all P<0.05). The cumulative probabilities of hospital discharge and negative virus conversion were also higher in the two-dose group than in the unvaccinated group (P<0.05). CONCLUSIONS: Two doses of the SARS-CoV-2-inactivated vaccine were highly effective at limiting symptomatic disease and reducing immune response, while a single dose did not seem to be effective.

Associative analysis of multi-omics data indicates that acetylation modification is widely involved in cigarette smoke-induced chronic obstructive pulmonary disease.

We aimed to study the molecular mechanisms of chronic obstructive pulmonary disease (COPD) caused by cigarette smoke more comprehensively and systematically through different perspectives and aspects and to explore the role of protein acetylation modification in COPD. We established the COPD model by exposing C57BL/6J mice to cigarette smoke for 24 weeks, then analyzed the transcriptomics, proteomics, and acetylomics data of mouse lung tissue by RNA sequencing (RNA-seq) and liquid chromatography-tandem mass spectrometry (LC-MS/MS), and associated these omics data through unique algorithms. This study demonstrated that the differentially expressed proteins and acetylation modification in the lung tissue of COPD mice were co-enriched in pathways such as oxidative phosphorylation (OXPHOS) and fatty acid degradation. A total of 19 genes, namely, ENO3, PFKM, ALDOA, ACTN2, FGG, MYH1, MYH3, MYH8, MYL1, MYLPF, TTN, ACTA1, ATP2A1, CKM, CORO1A, EEF1A2, AKR1B8, MB, and STAT1, were significantly and differentially expressed at all the three levels of transcription, protein, and acetylation modification simultaneously. Then, we assessed the distribution and expression in different cell subpopulations of these 19 genes in the lung tissues of patients with COPD by analyzing data from single-cell RNA sequencing (scRNA-seq). Finally, we carried out the in vivo experimental verification using mouse lung tissue through quantitative real-time PCR (qRT-PCR), Western blotting (WB), immunofluorescence (IF), and immunoprecipitation (IP). The results showed that the differential acetylation modifications of mouse lung tissue are widely involved in cigarette smoke-induced COPD. ALDOA is significantly downregulated and hyperacetylated in the lung tissues of humans and mice with COPD, which might be a potential biomarker for the diagnosis and/or treatment of COPD.