Impact of non-emergency surgical timing on postoperative recovery quality in mild or asymptomatic SARS-CoV-2 infected patients: a grouped cohort study.

OBJECTIVE: To explore the relationship between the timing of non-emergency surgery in mild or asymptomatic SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) infected individuals and the quality of postoperative recovery from the time of confirmed infection to the day of surgery. METHODS: We retrospectively reviewed the medical records of 300 cases of mild or asymptomatic SARS-CoV-2 infected patients undergoing elective general anaesthesia surgery at Yijishan Hospital between January 9, 2023, and February 17, 2023. Based on the time from confirmed SARS-CoV-2 infection to the day of surgery, patients were divided into four groups: ≤2 weeks (Group A), 2-4 weeks (Group B), 4-6 weeks (Group C), and 6-8 weeks (Group D). The primary outcome measures included the Quality of Recovery-15 (QoR-15) scale scores at 3 days, 3 months, and 6 months postoperatively. Secondary outcome measures included postoperative mortality, ICU admission, pulmonary complications, postoperative length of hospital stay, extubation time, and time to leave the PACU. RESULTS: Concerning the primary outcome measures, the QoR-15 scores at 3 days postoperatively in Group A were significantly lower compared to the other three groups (P < 0.05), while there were no statistically significant differences among the other three groups (P > 0.05). The QoR-15 scores at 3 and 6 months postoperatively showed no statistically significant differences among the four groups (P > 0.05). In terms of secondary outcome measures, Group A had a significantly prolonged hospital stay compared to the other three groups (P < 0.05), while other outcome measures showed no statistically significant differences (P > 0.05). CONCLUSION: The timing of surgery in mild or asymptomatic SARS-CoV-2 infected patients does not affect long-term recovery quality but does impact short-term recovery quality, especially for elective general anaesthesia surgeries within 2 weeks of confirmed infection. Therefore, it is recommended to wait for a surgical timing of at least greater than 2 weeks to improve short-term recovery quality and enhance patient prognosis.

Glycosylphosphatidylinositol-anchored micronemal antigen (GAMA) interacts with the band 3 receptor to promote erythrocyte invasion by malaria parasites.

Glycosylphosphatidylinositol-anchored micronemal antigen (GAMA) is an erythrocyte binding protein known to be involved in malarial parasite invasion. Although anti-GAMA antibodies have been shown to block GAMA attachment to the erythrocyte surface and subsequently inhibit parasite invasion, little is known about the molecular mechanisms by which GAMA promotes the invasion process. In this study, LC-MS analysis was performed on the erythrocyte membrane to identify the specific receptor that interacts with GAMA. We found that ankyrin 1 and the band 3 membrane protein showed affinity for GAMA, and characterization of their binding specificity indicated that both Plasmodium falciparum and Plasmodium vivax GAMA bound to the same extracellular loop of band 3 (loop 5). In addition, we show the interaction between GAMA and band 3 was sensitive to chymotrypsin. Furthermore, antibodies against band 3 loop 5 were able to reduce the binding activity of GAMA to erythrocytes and inhibit the invasion of P. falciparum merozoites into human erythrocytes, whereas antibodies against P. falciparum GAMA (PfGAMA)-Tr3 only slightly reduced P. falciparum invasion. The identification and characterization of the erythrocyte GAMA receptor is a novel finding that identifies an essential mechanism of parasite invasion of host erythrocytes.

Alleviation of Spinal Cord Injury by MicroRNA 137-Overexpressing Bone Marrow Mesenchymal Stem Cell-Derived Exosomes.

Bone marrow mesenchymal stem cell (BMMSC) is reported to promote spinal cord injury (SCI) recovery via secreting exosomes to deliver RNAs, proteins, lipids, etc. The present study aimed to investigate the effect of microRNA 137 (miR-137)-overexpressing BMMSC exosomes on SCI rats. BMMSCs were extracted from Sprague-Dawley (SD) rat hind leg bone marrow, and then BMMSC-secreted exosomes were collected. MiR-137 mimic and negative control (NC) mimic were transfected into BMMSCs, and then the corresponding exosomes were collected. Subsequently, SD rats were treated with sham operation + phosphate-buffered saline (PBS), SCI operation + PBS, SCI operation + NC mimic BMMSC exosomes, or SCI operation + miR-137-overexpressing BMMSC exosomes. MiR-137 was downregulated in the spinal cord tissue of SCI rats compared to sham rats. Furthermore, BMMSC exosome injection elevated the Basso, Beattie, and Bresnahan (BBB) scores and neuronal viability and reduced tissue injury and proinflammatory cytokine expression in the spinal cord tissue of SCI rats compared to PBS treatment. Subsequently, miR-137-overexpressing BMMSC exosome injection improved the BBB score and neuron viability, and decreased tissue injury as well as proinflammatory cytokine expression in SCI rats compared to NC-overexpressing BMMSC exosomes. Additionally, miR-137-overexpressing BMMSC exosomes also diminished neuronal apoptosis in the spinal cord tissue of SCI rats compared to NC-overexpressing BMMSC exosomes. In conclusion, miR-137-overexpressing BMMSC exosomes reduce tissue injury and inflammation while improving locomotor capacity and neuronal viability in SCI rats. These findings suggest that miR-137-overexpressing BMMSC exosomes may serve as a treatment option for SCI recovery.

Exosomes from microRNA 146a overexpressed bone marrow mesenchymal stem cells protect against spinal cord injury in rats.

BACKGROUND: This study aimed to investigate the effect of microRNA 146a (miR-146a) overexpressed bone marrow mesenchymal stem cells (BMMSCs) exosomes on spinal cord injury (SCI) recovery. METHODS: Rat BMMSCs were isolated and transfected with miR-146a mimic (miR-mimic) and control mimic (NC-mimic), after which their exosomes were isolated. Afterward, SCI rat models were constructed, then treated with phosphate buffer saline (PBS), NC BMMSCs exosomes (separated from the culture medium of BMMSCs with NC-mimic), and miR-146a overexpressed BMMSCs exosomes (isolated from the culture medium of BMMSCs with miR-mimic), respectively; additionally, rats underwent sham surgery were treated with PBS as controls. RESULTS: MiR-146a was upregulated in BMMSCs, and BMMSCs derived exosomes post miR-mimic transfection. Then in SCI rats, BMMSCs exosomes elevated the Basso, Beattie, and Bresnahan (BBB) score and reduced hematoxylin&eosin-reflected spinal cord tissue injury. In addition, BMMSCs exosomes did not affect TUNEL positive cells rate while increased NeuN(+) cells/field in spinal cord tissue from SCI rats. As for inflammation, BMMSCs exosomes repressed pro-inflammatory cytokine expressions, including interleukin (IL)-1ß, IL-6, and tumor necrosis factor (TNF)-α, in spinal cord tissue from SCI rats. Furthermore, miR-146a overexpressed BMMSCs exosomes presented with notably better effects regarding elevating BBB score in SCI rats and reducing tissue injury, neuron apoptosis, and inflammation while enhancing neuron viability in spinal cord tissue from SCI rats. CONCLUSIONS: MiR-146a overexpressed BMMSCs exosomes enhance locomotor capacity and neuron viability while reducing neuron apoptosis and spinal cord tissue inflammation in SCI rats.

The implication of long non-coding RNA expression profile in rheumatoid arthritis: Correlation with treatment response to tumor necrosis factor inhibitor.

OBJECTIVE: This study aimed to investigate the linkage of long non-coding RNA (lncRNA) expression profile with etanercept response in rheumatoid arthritis (RA) patients. METHODS: Peripheral blood mononuclear cell (PBMC) samples were collected from 80 RA patients prior to etanercept treatment. Samples from eight responders and eight non-responders at week 24 (W24) were proposed to RNA-sequencing, then 10 candidate lncRNAs were sorted and their PBMC expressions were validated by reverse transcription quantitative chain reaction (RT-qPCR) in 80 RA patients. Subsequently, clinical response by lncRNA (CRLnc) prediction model was established. RESULTS: RNA-sequencing identified 254 up-regulated and 265 down-regulated lncRNAs in W24 responders compared with non-responders, which were enriched in immune or joint related pathways such as B-cell receptor signaling, osteoclast differentiation and T-cell receptor signaling pathways, etc. By reverse transcription quantitative chain reaction (RT-qPCR) validation: Two lncRNAs were correlated with W4 response, three lncRNAs were correlated with W12 response, seven lncRNAs were correlated with W24 response. Subsequently, to construct and validate CRLnc prediction model, 80 RA patients were randomly divided into test set (n = 40) and validation set (n = 40). In the test set, lncRNA RP3-466P17.2 (OR = 9.743, P = .028), RP11-20D14.6 (OR = 10.935, P = .007), RP11-844P9.2 (OR = 0.075, P = .022), and TAS2R64P (OR = 0.044, P = .016) independently related to W24 etanercept response; then CRLnc prediction model integrating these four lncRNAs presented a good value in predicting W24 etanercept response (Area Under Curve (AUC): 0.956, 95%CI: 0.896-1.000). However, in the validation set, the CRLnc prediction model only exhibited a certain value in predicting W24 etanercept response (AUC: 0.753, 95%CI: 0.536-0.969). CONCLUSIONS: CRLnc prediction model is potentially a useful tool to instruct etanercept treatment in RA patients.

Measurement of synovium and serum dual specificity phosphatase 22 level: Their inter-correlation and potency as biomarkers in rheumatoid arthritis.

BACKGROUND: Dual specificity phosphatase 22 (DUSP22), also named as Jun N-terminal kinase pathway associated phosphatase recently, is reported to be closely engaged in immune and inflammation regulation. This study aimed to investigate the interaction between synovium DUSP22 and serum DUSP22 levels and to explore their correlation with rheumatoid arthritis (RA) risk, inflammation, and disease activity. METHODS: Synovium and serum samples from 42 RA patients with knee involvement underwent arthroscopy, and 20 knee trauma patients were collected. Besides, serum samples from 40 healthy controls were also obtained. Synovium DUSP22 expression was detected by reverse transcription quantitative polymerase chain reaction, while serum DUSP22 level was detected by enzyme-linked immunosorbent assay. RESULTS: Synovium DUSP22 level was greatly decreased in RA patients compared to trauma controls (p < 0.001), and it was negatively correlated with tender joint count (TJC) (r = -0.318, p = 0.040), C-reactive protein (CRP) (r = -0.330, p = 0.033), and Lysholm score (r = -0.423, p = 0.005) in RA patients. Serum DUSP22 level was lowest in RA patients, followed by trauma controls, then highest in healthy controls (p < 0.001). Serum DUSP22 level was negatively associated with TJC (r = -0.438, p = 0.004), swollen joint count (SJC) (r = -0.372, p = 0.015), CRP (r = -0.391, p = 0.011), and disease activity score in 28 joints (DAS28ESR ) score (r = -0.406, p = 0.008), and it increased after treatment (p = 0.001) in RA patients. In addition, serum DUSP22 level positively related to synovium DUSP22 level in RA patients (r = 0.394, p = 0.010). CONCLUSION: Synovium and serum DUSP22 are intercorrelated and insufficiently expressed in RA patients; meanwhile, their deficiency correlates with increased systemic inflammation, disease activity, and joint dysfunction.

Adaptive immune responses mediated age-related Plasmodium yoelii 17XL and 17XNL infections in 4 and 8-week-old BALB/c mice.

BACKGROUD: It is important to expound the opposite clinical outcomes between children and adulthood for eradicate malaria. There remains unknown about the correlation between adaptive immune response and age-related in malaria. METHODS: 4 and 8-week-old mice were used to mimic children and adulthood, respectively. Parasitemia and the survival rate were monitored. The proportion and function of Th1 and Th2 cells were detected by FACS. The levels of IFN-γ, IL-4, total IgG, IgG1, IgG2a and Plasmodium yoelii MSP-1-specific IgG were measured by ELISA. RESULTS: The adult group showed greater resistance to P. yoelii 17XL infection, with lower parasitemia. Compared with 4-week-old mice, the percentage of CD4+T-bet+IFN-γ+ Th1 cells as well as IFN-γ production were significantly increased on day 5 p.i. in the 8-week-old mice after P. yoelii 17XNL infection. The percentage of CD4+GATA3+IL-4+ Th2 cells and CD4+CXCR5+ Tfh cells, and IL-4 production in the 8-week-old mice significantly increased on day 5 and day 10 after P. yoelii 17XNL infection. Notably, the levels of total IgG, IgG1, IgG2a and P. yoelii MSP-1-specific IgG were also significantly increased in the 8-week-old mice. PD-1, a marker of exhaustion, was up-regulated on CD4+ or activated CD4+ T cells in the 8-week-old mice as compared to the 4-week-old group. CONCLUSIONS: Thus, we consider that enhanced cellular and humoral adaptive immunity might contribute to rapid clearance of malaria among adults, likely in a PD-1-dependent manner due to induction of CD4+ T cells exhaustion in P. yoelii 17XNL infected 8-week-old mice.

Decreased HLF Expression Predicts Poor Survival in Lung Adenocarcinoma.

BACKGROUND Lung adenocarcinoma (LUAD) is a type of non-small cell carcinoma. Its pathogenesis is being explored and there is no cure for the disease. MATERIAL AND METHODS The Gene Expression Omnibus (GEO) was searched to obtain data on expression of messenger RNA. GEO2R, an interactive web tool, was used to calculate the differentially expressed genes (DEGs) in LUAD. All the DEGs from different datasets were imported into VENNY 2.1 (https://bioinfogp.cnb.csic.es/tools/venny/index.html) to identify the intersection of the DEGs. An online analysis tool, the Database for Annotation, Visualization, and Integrated Discovery (DAVID), was used to help understand the biological meaning of DEG enrichment in LUAD. Cytoscape 3.7.2 was used to perform centrality analysis and visualize hub genes and related networks. Furthermore, the prognostic value of the hub genes was evaluated with the Kaplan-Meier plotter survival analysis tool. RESULTS The GEO database was used to obtain RNA sequencing information for LUAD and normal tissue from the GSE118370, GSE136043, and GSE140797 datasets. A total of 376 DEGs were identified from GSE118370, 248 were identified from GSE136403, and 718 DEGs were identified from GSE140797. The 10 genes with the highest degrees of expression - the hub genes - were CAV1, TEK, SLIT2, RHOJ, DGSX, HLF, MEIS1, PTPRD, FOXF1, and ADRB2. In addition, Kaplan-Meier survival evaluation showed that CAV1, TEK, SLIT2, HLF, MEIS1, PTPRD, FOXF1, and ADRB2 were associated with favorable outcomes for LUAD. CONCLUSIONS CAV1, TEK, SLIT2, HLF, MEIS1, PTPRD, FOXF1, and ADRB2 are hub genes in the DEG interaction network for LUAD and are involved in the development of and prognosis for the disease. The mechanisms underlying these genes should be the subject of further studies.

Prophylactic treatment of L-Arg improves malaria outcomes by regulating host immune responses during Plasmodium yoelii 17XL infection.

L-arginine (L-Arg), the precursor of nitric oxide (NO), plays multiple, important roles in nutrient metabolism and immune regulation. Hypoargininemia is one of the distinctive features of malaria patients in endemic areas. To understand the immunoregulatory function of L-Arg in malaria, we investigated the effects of L-Arg, pre- or/and post-treatment, on the cellular/humoral immune response during Plasmodium yoelii 17XL (P.y17XL) infection in DBA/2 mice. Populations of splenic CD4+T-bet+IFN-γ+ T cells (Th1), F4/80+ macrophages, CD4+GATA-3+IL-4+ T cells (Th2), B220+CD138+ plasmacytes and antibody-producing cells (IgG+/IgG1+-plasma cells) were assessed by flow cytometry. Pro-inflammatory cytokines and antibodies (IgG and IgG1) were quantified by immunoassays. We found that treatment with L-Arg significantly decreased parasitemia and shortened disease duration. Prophylactic treatment with L-Arg promotes an enhanced Th1 cell response during the early stages of P.y17XL infection, and treatment with L-Arg in the course of infection facilitates the later humoral immune response. Our findings suggest that treatment with L-Arg may decrease parasite burden and control the host's susceptibility to parasite synchronously by regulating host immune responses against P.y17XL, producing better outcomes for malaria infection. This implies that the supplementation of L-Arg may be a promising adjunctive therapy to reduce malaria-associated mortality in endemic areas.

Association between hemoglobin levels and diabetic foot ulcer in patients with type 2 diabetes: a cross-sectional study.

BACKGROUND: Anemia is prevalent among patients with T2DM with DFU. However, there is limited research on the relationship between Hb level and DFU. OBJECTIVE: To investigate the characteristics and relationship between Hb level and prognosis in patients with DFU. MATERIALS AND METHODS: A total of 212 patients with T2DM were included and grouped according to the presence (n = 105) or absence (n = 107) of DFU. The independent t test and multiple logistic regression analysis were used to analyze the effect of different factors on the occurrence of anemia in patients with DFU and whether Hb level could be used to predict prognosis. RESULTS: There were significant differences in clinical indicators that directly or indirectly contributed to anemia in patients with DFU (P < .05). Hb level was independently associated with DFU (OR, 0.899; P < .05). Hb levels were significantly decreased in patients aged 65 years or older (P < .05). Mild anemia was prevalent among most patients with DFU (59.62%). Hb level decreased with the severity of foot ulcer (P < .05) and was correlated with the duration of diabetes (R2 = 0.653; P < .05). The AUC value was 0.82, with a cutoff value of 122.5 g/L to identify patients with DFU at high risk of adverse outcomes. CONCLUSION: Anemia is common in patients with DFU. Anemia is a marker of DFU severity, and Hb level can predict poor prognosis in patients with DFU.

Expression and prognosis analysis of TBX2 subfamily in human lung carcinoma.

PURPOSE: Lung cancer has a high morbidity and mortality rate of all cancers worldwide. Therefore, there is an urgent need for reliable cancer markers for diagnosis and prognosis of patients with lung cancer. METHODS: In this study, we used the bioinformatics database to compare the expression of the TBX2 subfamily at the transcriptional and protein levels in non-small cell lung cancer. Then, to confirm our bioinformatics analysis above, we used western bloting to determine the expression of TBX2, TBX3, TBX4 and TBX5 in human lung squamous carcinoma cell lines. Besides, low expression of TBX2 subfamily predicted a poor prognosis of patients with lung cancer. Finally, The methylation database was used to explore the relationship between the low expression of TBX2 subfamily and methylation of gene promoter region. RESULTS: Our data showed a significant decrease of TBX2 subfamily expression in lung cancer tissues of several histological subtypes. Finally, the methylation of TBX2 subfamily members in the promoter region of NSCLC was significantly higher than that in normal tissues. CONCLUSION: Our research provided sufficient evidence that TBX2 subfamily might play an inhibitory role in malignancy progression of lung cancer, which is promising to shed light on discovering a novel reliable cancer marker for prognosis of lung cancer patients.

Nanodrugs based on co-delivery strategies to combat cisplatin resistance.

Cisplatin (CDDP), as a broad-spectrum anticancer drug, is able to bind to DNA and inhibit cell division. Despite the widespread use of cisplatin since its discovery, cisplatin resistance developed during prolonged chemotherapy, similar to other small molecule chemotherapeutic agents, severely limits its clinical application. Cisplatin resistance in cancer cells is mainly caused by three reasons: DNA repair, decreased cisplatin uptake/increased efflux, and cisplatin inactivation. In earlier combination therapies, the emergence of multidrug resistance (MDR) in cancer cells prevented the achievement of the desired therapeutic effect even with the accurate combination of two chemotherapeutic drugs. Therefore, combination therapy using nanocarriers for co-delivery of drugs is considered to be ideal for alleviating cisplatin resistance and reducing cisplatin-related toxicity in cancer cells. This article provides an overview of the design of cisplatin nano-drugs used to combat cancer cell resistance, elucidates the mechanisms of action of cisplatin and the pathways through which cancer cells develop resistance, and finally discusses the design of drugs and related carriers that can synergistically reduce cancer resistance when combined with cisplatin.

Borderline personality disorder and risk of atrial fibrillation: insights from a bidirectional Mendelian randomization study.

Background: Atrial fibrillation (AF) is one of the most common form of arrhythmia. Previous studies have shown a link between AF and mental illness. However, the causal relationship between mental illness and AF remains unclear. The purpose of this study was to investigate the bidirectional causal relationship between borderline personality disorder (BPD) and AF. Method: We used the bidirectional Two-sample Mendelian randomization (TSMR) method to evaluate the causal relationship between BPD and AF. Instrumental variables associated with BPD were derived from a genome-wide association study involving 214,816 Europeans (2,637 cases and 212,179 controls). We then obtained atrial fibrillation data from the GWAS meta-analysis (60,620 cases and 970,216 controls). The TSMR analyses were performed in five methods, namely fixed-effect inverse-variance weighted (IVW) method、random-effect IVW method, MR Egger regression method, Weighted median method and Simple mode method. Several sensitivity analyses are used to test the robustness of positive results. Results: The fixed-effect inverse-variance weighted model [Odds ratio (OR), 1.033, 95% confidence interval (CI), 1.011-1.056, P = 0.0031], random-effect inverse-variance weighted model (OR, 1.033; 95%CI, 1.005-1.062; P = 0.0191) and Weighted median (OR, 1.034; 95%CI, 1.002-1.068; P = 0.0394) all showed that genetically predicted BPD was associated with an increased risk of AF. Sensitivity analysis using other MR Methods, including the MR-Egger intercept, MR-Presso method, and leave-one-out analyses, showed that the results were robust. In reverse MR analysis, there was no causal relationship of AF on BPD. Conclusion: Our study provides a causal relationship between BPD and AF. This means that patients with BPD should be monitored for the occurrence of AF. Early screening and proper management of BPD may show anti-arrhythmic benefits.

Sinomenine Alleviates Rheumatoid Arthritis by Suppressing the PI3K-Akt Signaling Pathway, as Demonstrated Through Network Pharmacology, Molecular Docking, and Experimental Validation.

Purpose: Sinomenine (SIN) is commonly used in Traditional Chinese Medicine (TCM) as a respected remedy for rheumatoid arthritis (RA). Nevertheless, the therapeutic mechanism of SIN in RA remains incompletely understood. This study aimed to delve into the molecular mechanism of SIN in the treatment of RA. Methods: The potential targets of SIN were predicted using the TCMSP server, STITCH database, and SwissTarget Prediction. Differentially expressed genes (DEGs) in RA were obtained from the GEO database. Enrichment analyses and molecular docking were conducted to explore the potential mechanism of SIN in the treatment of RA. In vitro and in vivo studies were conducted to validate the intervention effects of SIN on rheumatoid arthritis, as determined through network pharmacology analyses. Results: A total of 39 potential targets associated with the therapeutic effects of SIN in RA were identified. Enrichment analysis revealed that these potential targets are primarily enriched in PI3K-Akt signaling pathway, and the molecular docking suggests that SIN may act on specific proteins in the pathway. Experimental results have shown that exposure to SIN inhibits cytokine secretion, promotes apoptosis, reduces metastasis and invasion, and blocks the activation of the PI3K-Akt signaling pathway in RA fibroblast-like synoviocytes (RA-FLS). Moreover, SIN treatment alleviated arthritis-related symptoms and regulated the differentiation of CD4+ T cells in the spleen of collagen-induced arthritis (CIA) mice. Conclusion: By utilizing network pharmacology, molecular modeling, and in vitro/in vivo validation, this study demonstrates that SIN can alleviate RA by inhibiting the PI3K-Akt signaling pathway. These findings enhance the understanding of the therapeutic mechanisms of SIN in RA, offering a stronger theoretical foundation for its future clinical application.

Fusing Diverse Decision Rules in 3D-Radiomics for Assisting Diagnosis of Lung Adenocarcinoma.

This study aimed to develop an interpretable diagnostic model for subtyping of pulmonary adenocarcinoma, including minimally invasive adenocarcinoma (MIA), adenocarcinoma in situ (AIS), and invasive adenocarcinoma (IAC), by integrating 3D-radiomic features and clinical data. Data from multiple hospitals were collected, and 10 key features were selected from 1600 3D radiomic signatures and 11 radiological features. Diverse decision rules were extracted using ensemble learning methods (gradient boosting, random forest, and AdaBoost), fused, ranked, and selected via RuleFit and SHAP to construct a rule-based diagnostic model. The model's performance was evaluated using AUC, precision, accuracy, recall, and F1-score and compared with other models. The rule-based diagnostic model exhibited excellent performance in the training, testing, and validation cohorts, with AUC values of 0.9621, 0.9529, and 0.8953, respectively. This model outperformed counterparts relying solely on selected features and previous research models. Specifically, the AUC values for the previous research models in the three cohorts were 0.851, 0.893, and 0.836. It is noteworthy that individual models employing GBDT, random forest, and AdaBoost demonstrated AUC values of 0.9391, 0.8681, and 0.9449 in the training cohort, 0.9093, 0.8722, and 0.9363 in the testing cohort, and 0.8440, 0.8640, and 0.8750 in the validation cohort, respectively. These results highlight the superiority of the rule-based diagnostic model in the assessment of lung adenocarcinoma subtypes, while also providing insights into the performance of individual models. Integrating diverse decision rules enhanced the accuracy and interpretability of the diagnostic model for lung adenocarcinoma subtypes. This approach bridges the gap between complex predictive models and clinical utility, offering valuable support to healthcare professionals and patients.

Identification of ferroptosis related markers by integrated bioinformatics analysis and In vitro model experiments in rheumatoid arthritis.

BACKGROUND: Rheumatoid arthritis (RA) is an autoimmune disease characterized by destructive and symmetrical joint diseases and synovitis. This research attempted to explore the mechanisms involving ferroptosis in RA, and find the biological markers by integrated analysis. METHODS: Gene expression data (GSE55235 and GSE55457) of synovial tissues from healthy and RA individuals were downloaded. By filtering the differentially expressed genes (DEGs) and intersecting them with the 484 ferroptosis-related genes (FRGs), the overlapping genes were identified. After the enrichment analysis, the machine learning-based approaches were introduced to screen the potential biomarkers, which were further validated in other two datasets (GSE77298 and GSE93272) and cell samples. Besides, we also analyze the infiltrating immune cells in RA and their correlation with the biomarkers. RESULTS: With the criteria, 635 DEGs in RA were included, and 29 of them overlapped in the reported 484 FRGs. The enrichments of the 29 differentially expressed ferroptosis-related genes indicated that they may involve in the FoxO signaling pathway and inherited metabolic disorder. RRM2, validating by the external datasets and western blot, were identified as the biomarker with the high diagnostic value, whose associated immune cells, such as Neutrophils and Macrophages M1, were also further evaluated. CONCLUSION: We preliminary explored the mechanisms between ferroptosis and RA. These results may help us better comprehend the pathophysiological changes of RA in basic research, and provide new evidences for the clinical transformation.

Causality of particulate matter on cardiovascular diseases and cardiovascular biomarkers.

Background: Previous observational studies have shown that the prevalence of cardiovascular diseases (CVDs) is related to particulate matter (PM). However, given the methodological limitations of conventional observational research, it is difficult to identify causality conclusively. To explore the causality of PM on CVDs and cardiovascular biomarkers, we conducted a Mendelian randomization (MR) analysis. Method: In this study, we obtained summary-level data for CVDs and cardiovascular biomarkers including atrial fibrillation (AF), heart failure (HF), myocardial infarction (MI), ischemic stroke (IS), stroke subtypes, body mass index (BMI), lipid traits, fasting glucose, fasting insulin, and blood pressure from several large genome-wide association studies (GWASs). Then we used two-sample MR to assess the causality of PM on CVDs and cardiovascular biomarkers, 16 single nucleotide polymorphisms (SNPs) for PM2.5 and 6 SNPs for PM10 were obtained from UK Biobank participants. Inverse variance weighting (IVW) analyses under the fixed effects model were used as the main analytical method to calculate MR Estimates, followed by multiple sensitivity analyses to confirm the robustness of the results. Results: Our study revealed increases in PM2.5 concentration were significantly related to a higher risk of MI (odds ratio (OR), 2.578; 95% confidence interval (CI), 1.611-4.127; p = 7.920 × 10-5). Suggestive evidence was found between PM10 concentration and HF (OR, 2.015; 95% CI, 1.082-3.753; p = 0.027) and IS (OR, 2.279; 95% CI,1.099-4.723; p = 0.027). There was no evidence for an effect of PM concentration on other CVDs. Furthermore, PM2.5 concentration increases were significantly associated with increases in triglyceride (TG) (OR, 1.426; 95% CI, 1.133-1.795; p = 2.469 × 10-3) and decreases in high-density lipoprotein cholesterol (HDL-C) (OR, 0.779; 95% CI, 0.615-0.986; p = 0.038). The PM10 concentration increases were also closely related to the decreases in HDL-C (OR, 0.563; 95% CI, 0.366-0.865; p = 8.756 × 10-3). We observed no causal effect of PM on other cardiovascular biomarkers. Conclusion: At the genetic level, our study suggested the causality of PM2.5 on MI, TG, as well HDL-C, and revealed the causality of PM10 on HF, IS, and HDL-C. Our findings indicated the need for continued improvements in air pollution abatement for CVDs prevention.

Pachymic Acid Prevents Hemorrhagic Shock-Induced Cardiac Injury by Suppressing M1 Macrophage Polarization and NF-[Formula: see text]B Signaling Pathway.

Hemorrhagic shock (HS) is the leading cause of death in trauma patients. Inflammation following HS can lead to cardiac damage. Pachymic acid (PA), a triterpenoid extracted from Poria cocos, has been found to possess various biological activities, including anti-inflammatory and anti-apoptotic properties. Our research aims to investigate the protective effects of PA against HS-induced heart damage and the underlying mechanisms involved. Male Sprague-Dawley rats were intraperitoneally injected with PA (7.5 or 15[Formula: see text]mg/kg) daily for three days. Subsequently, we created a rat model of HS by drawing blood through a catheter inserted into the femoral artery followed by resuscitation. The results revealed that HS led to abnormalities in hemodynamics, serum cardiac enzyme levels, and cardiac structure, as well as induced cardiac apoptosis. However, pretreatment with PA effectively alleviated these effects. PA-pretreatment also suppressed mRNA and protein levels of interleukin (IL)-1[Formula: see text], IL-6, and tumor necrosis factor [Formula: see text] (TNF-[Formula: see text]) in the heart tissues of HS rats. Additionally, PA-pretreatment reduced inflammatory cell infiltration and M1 macrophage polarization while exaggerating M2 polarization in HS rat hearts. The study observed a decreased proportion of the expression of of M1 macrophages (CD86[Formula: see text]) and their marker (iNOS), along with an increased proportion of the expression of M2 macrophages (CD206[Formula: see text]) and their marker (Arg-1). Notably, PA-pretreatment suppressed NF-[Formula: see text]B pathway activation via inhibiting NF-[Formula: see text]B p65 phosphorylation and its nuclear translocation. In conclusion, PA-pretreatment ameliorates HS-induced cardiac injury, potentially through its inhibition of the NF-[Formula: see text]B pathway. Therefore, PA treatment holds promise as a strategy for mitigating cardiac damage in HS.

Baicalin Ameliorates Lung Injury in Rats by Inhibiting NLRP3 Inflammasome Activation via NF-[Formula: see text]B Signaling Pathway.

Hemorrhagic shock (HS) is defined as a reduction in tissue oxygenation and organ dysfunction due to severe blood loss. Lung injury is a frequent complication of HS. Baicalin, isolated from Radix Scutellariae, has been reported to profile the antitumor, anti-oxidative, anti-inflammatory, and antibacterial roles in various pathological processes. Nevertheless, the effects of baicalin on HS-induced lung injury are unclear. This study aims to examine the therapeutic effects of baicalin on lung injury. We first established the lung injury rat models by withdrawing blood in the femoral artery followed by resuscitation. A pathological analysis showed that HS-administrated rats presented severe capillary leakage and pulmonary edema, while baicalin therapy alleviated the symptoms. Baicalin therapy reduced the number of macrophages and neutrophils in bronchoalveolar lavage fluid and decreased the expression and activity of myeloperoxidase (neutrophile infiltration marker) in the lung tissues of HS rats, indicating that baicalin alleviated HS-induced infiltration of inflammatory cells. The secretion of inflammatory cytokines, including interleukin (IL)-1[Formula: see text], IL-6, IL-18, and tumor necrosis factor [Formula: see text] (TNF-[Formula: see text]), as well as the activation of the nucleotide-binding oligomerization domain-like receptor family pyrin domain-containing-3 (NLRP3) inflammasome, were inhibited by baicalin administration. Furthermore, we found that the NF-[Formula: see text]B pathway, a canonical pro-inflammatory pathway, was also blocked after treatment with baicalin in HS-evoked rats, as indicated by the decreased expression of p65 and p65 phosphorylation in the lung tissues. In summary, we infer that baicalin may exert a protective role in HS-induced lung injury by suppressing the activation of NLRP3 inflammasome via the NF-[Formula: see text]B pathway.

Causality of anti-Helicobacter pylori IgG levels on myocardial infarction and potential pathogenesis: a Mendelian randomization study.

Background: Previous observational studies have shown that a potential relationship between anti-Helicobacter pylori (H. pylori) IgG levels and Myocardial Infarction (MI). Nevertheless, the evidence for the causal inferences remains disputable. To further clarify the relationship between anti-H. pylori IgG levels and MI and explore its pathogenesis, we conducted a Mendelian randomization (MR) analysis. Methods: In this study, we used two-sample Mendelian Randomization (MR) to assess the causality of anti-H. pylori IgG levels on MI and potential pathogenesis, 12 single nucleotide polymorphisms (SNPs) related to anti-H. pylori IgG levels were obtained from the European Bioinformatics Institute (EBI). Summary data from a large-scale GWAS meta-analysis of MI was utilized as the outcome dataset. Summary data of mediators was obtained from the FinnGen database, the UK Biobank, the EBI database, MRC-IEU database, the International Consortium of Blood Pressure, the Consortium of Within family GWAS. Inverse variance weighted (IVW) analysis under the fixed effect model was identified as our main method. To ensure the reliability of the findings, many sensitivity analyses were performed. Results: Our study revealed that increases of anti-H. pylori IgG levels were significantly related to an increased risk of MI (OR, 1.104; 95% CI,1.042-1.169; p = 7.084 × 10-4) and decreases in HDL cholesterol levels (ß, -0.016; 95% CI, -0.026 to -0.006; p = 2.02 × 10-3). In addition, there was no heterogeneity or pleiotropy in our findings. Conclusion: This two-sample MR analysis revealed the causality of anti-H. pylori IgG levels on MI, which might be explained by lower HDL cholesterol levels. Further research is needed to clarify the results.