Retrospective analysis of molecular characteristics, risk factors, and outcomes in carbapenem-resistant Klebsiella pneumoniae bloodstream infections.

BACKGROUND: Klebsiella pneumoniae (KP) is the second most prevalent Gram-negative bacterium causing bloodstream infections (BSIs). In recent years, the management of BSIs caused by KP has become increasingly complex due to the emergence of carbapenem-resistant Klebsiella pneumoniae (CRKP). Although numerous studies have explored the risk factors for the development of CRKP-BSIs, the mortality of patients with KP-BSIs, and the molecular epidemiological characteristics of CRKP, the variability in data across different populations, countries, and hospitals has led to inconsistent conclusions. In this single-center retrospective observational study, we utilized logistic regression analyses to identify independent risk factors for CRKP-BSIs and factors associated with mortality in KP-BSI patients. Furthermore, a risk factor-based prediction model was developed. CRKP isolates underwent whole-genome sequencing (WGS), followed by an evaluation of microbiological characteristics, including antimicrobial resistance and virulence genes, as well as epidemiological characteristics and phylogenetic analysis. RESULTS: Our study included a total of 134 patients with KP-BSIs, comprising 50 individuals infected with CRKP and 84 with carbapenem-susceptible Klebsiella pneumoniae (CSKP). The independent risk factors for CRKP-BSIs were identified as gastric catheterization (OR = 9.143; CI = 1.357-61.618; P = 0.023), prior ICU hospitalization (OR = 4.642; CI = 1.312-16.422; P = 0.017), and detection of CRKP in non-blood sites (OR = 8.112; CI = 2.130-30.894; P = 0.002). Multivariate analysis revealed that microbiologic eradication after 6 days (OR = 3.569; CI = 1.119-11.387; P = 0.032), high Pitt bacteremia score (OR = 1.609; CI = 1.226-2.111; P = 0.001), and inappropriate empirical treatment after BSIs (OR = 6.756; CI = 1.922-23.753; P = 0.003) were independent risk factors for the 28-day mortality in KP-BSIs. The prediction model confirmed that microbiologic eradication after 6.5 days and a Pitt bacteremia score of 4.5 or higher were significant predictors of the 28-day mortality. Bioinformatics analysis identified ST11 as the predominant CRKP sequence type, with blaKPC-2 as the most prevalent gene variant. CRKP stains carried multiple plasmid-mediated resistance genes along with some virulence genes. Phylogenetic analysis indicated the presence of nosocomial transmission of ST11 CRKP within the ICU. CONCLUSIONS: The analysis of risk factors for developing CRKP-BSIs and the association between KP-BSIs and 28-day mortality, along with the development of a risk factor-based prediction model and the characterization of CRKP strains, enhances clinicians' understanding of the pathogens responsible for BSIs. This understanding may help in the timely administration of antibiotic therapy for patients with suspected KP-BSIs, potentially improving outcomes.

BertTCR: a Bert-based deep learning framework for predicting cancer-related immune status based on T cell receptor repertoire.

The T cell receptor (TCR) repertoire is pivotal to the human immune system, and understanding its nuances can significantly enhance our ability to forecast cancer-related immune responses. However, existing methods often overlook the intra- and inter-sequence interactions of T cell receptors (TCRs), limiting the development of sequence-based cancer-related immune status predictions. To address this challenge, we propose BertTCR, an innovative deep learning framework designed to predict cancer-related immune status using TCRs. BertTCR combines a pre-trained protein large language model with deep learning architectures, enabling it to extract deeper contextual information from TCRs. Compared to three state-of-the-art sequence-based methods, BertTCR improves the AUC on an external validation set for thyroid cancer detection by 21 percentage points. Additionally, this model was trained on over 2000 publicly available TCR libraries covering 17 types of cancer and healthy samples, and it has been validated on multiple public external datasets for its ability to distinguish cancer patients from healthy individuals. Furthermore, BertTCR can accurately classify various cancer types and healthy individuals. Overall, BertTCR is the advancing method for cancer-related immune status forecasting based on TCRs, offering promising potential for a wide range of immune status prediction tasks.

Telehealth-Supported Exercise or Physical Activity Programs for Knee Osteoarthritis: Systematic Review and Meta-Analysis.

BACKGROUND: The integration of telehealth-supported programs in chronic disease management has become increasingly common. However, its effectiveness for individuals with knee osteoarthritis (KOA) remains unclear. OBJECTIVE: This study aimed to assess the effectiveness of telehealth-supported exercise or physical activity programs for individuals with KOA. METHODS: A comprehensive literature search encompassing Embase, MEDLINE, CENTRAL, Web of Science, PubMed, Scopus, PEDro, GreyNet, and medRxiv from inception to September 2023 was conducted to identify randomized controlled trials comparing telehealth-supported exercise or physical activity programs to a control condition for KOA. Data were extracted and qualitatively synthesized across eligible studies, and a meta-analysis was performed to evaluate the effects. The study was reported according to PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) 2020. RESULTS: In total, 23 studies met eligibility criteria, with 20 included in the meta-analysis. Results showed that telehealth-supported exercise or physical activity programs reduced pain (g=-0.39; 95% CI -0.67 to -0.11; P<.001), improved physical activity (g=0.13; 95% CI 0.03-0.23; P=.01), and enhanced physical function (g=-0.51; 95% CI -0.98 to -0.05; P=.03). Moreover, significant improvements in quality of life (g=0.25; 95% CI 0.14-0.36; P<.001), self-efficacy for pain (g=0.72; 95% CI 0.53-0.91; P<.001), and global improvement (odds ratio 2.69, 95% CI 1.41-5.15; P<.001) were observed. However, self-efficacy for physical function (g=0.14; 95% CI -0.26 to 0.53; P=.50) showed insignificant improvements. Subgroup analyses based on the World Health Organization classification of digital health (pain: χ22=6.5; P=.04 and physical function: χ22=6.4; P=.04), the type of teletechnology in the intervention group (pain: χ24=4.8; P=.31 and function: χ24=13.0; P=.01), and active or inactive controls (pain: χ21=5.3; P=.02 and physical function: χ21=3.4; P=.07) showed significant subgroup differences. CONCLUSIONS: Telehealth-supported exercise or physical activity programs might reduce knee pain and improve physical activity, physical function, quality of life, self-efficacy, and global improvement in individuals with KOA. Future research should consider longer implementation durations and assess the feasibility of incorporating wearables and standardized components into large-scale interventions to evaluate the effects. TRIAL REGISTRATION: PROSPERO CRD42022359658; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=359658.

Profiles and interactions of gut microbiome and intestinal microRNAs in pediatric Crohn's disease.

Gut dysbiosis is closely related to dysregulated microRNAs (miRNAs) in the intestinal epithelial cells, which plays an important role in the pathogenesis of Crohn's disease (CD). We investigated the relationship between fecal gut microbiome (GM) and intestinal tissue miRNAs in different stages of pediatric CD. Metagenomic analysis and miRNA sequencing were conducted to examine the GM and intestinal miRNA profiles of CD patients before and after clinical induction therapy and the controls. Twenty-seven newly diagnosed, therapy-naïve pediatric patients with active CD and 11 non-inflammatory bowel disease (IBD) controls were recruited in this study. Among CD patients, 11 patients completed induction treatment and reached clinical remission. Both GM and miRNA profiles were significantly changed between CD patients and controls. Seven key bacteria were identified at species level including Defluviitalea raffinosedens, Thermotalea metallivorans, Roseburia intestinalis, Dorea sp. AGR2135, Escherichia coli, Shigella sonnei, and Salmonella enterica, the exact proportions of which were further validated by real-time quantitative PCR analysis. Eight key miRNAs were also identified including hsa-miR-215-5p, hsa-miR-194-5p, hsa-miR-12135, hsa-miR-509-3-5p, hsa-miR-212-5p, hsa-miR-4448, hsa-miR-501-3p, and hsa-miR-503-5p. The functional enrichment analysis of differential miRNAs indicated the significantly altered cyclin protein, cyclin-dependent protein, and cell cycle pathway. The close interactions between seven key bacteria and eight key miRNAs were further investigated by miRNA target prediction. The association between specific miRNA expressions and key gut bacteria at different stages of CD supported their important roles as potential molecular biomarkers. Understanding the relationship between them will help us to explore the molecular mechanisms of CD. IMPORTANCE: Since previous studies have focused on the change of the fecal gut microbiome and intestinal tissue miRNA in pediatric Crohn's disease (CD), the relationship between them in different stages is still not clear. This is the first study to explore the gut microbiota and miRNA and their correlations with the Pediatric Crohn's Disease Activity Index (PCDAI). Crohn's Disease Endoscopic Index of Severity (CDEIS), and calprotectin, by applying two omics approach in three different groups (active CD, CD in remission with exclusive enteral nutrition or infliximab induction therapy, and the healthy controls). Both gut microbiome structure and the miRNA profiles were significantly changed in the different stage of CD. Seven key gut microbiome at species and eight key miRNAs were found, and their close interactions were further fully investigated by miRNA target prediction.

Repurposing anti-osteoporosis drugs for autoimmune diseases: A two-sample Mendelian randomization study.

Background: Despite the increasing availability of therapeutic drugs for autoimmune diseases, many patients still struggle to achieve their treatment goals. Our aim was to identify whether drugs originally used to treat bone density could be applied to the treatment of autoimmune diseases through Mendelian randomization (MR). Methods: Using summary statistics from genome-wide association studies, we used a two-sample MR design to estimate the correlation between autoimmune diseases and BMD-related drug targets. Data from the DrugBank and ChEMBL databases were used to identify the drug targets of anti-osteoporosis medications. The Wald ratio test or inverse-variance weighting method was used to assess the impact of genetic variation in drug target(s) on autoimmune disease therapy. Results: Through our analysis, we discovered a negative correlation between genetic variability in a specific gene (ESR1) in raloxifene/colecalciferol and various autoimmune disorders such as ankylosing spondylitis, endometriosis, IgA nephropathy, rheumatoid arthritis, sarcoidosis, systemic lupus erythematosus, and type 1 diabetes. Conclusion: These results indicate a possible link between genetic differences in the drug targeting ESR1 and susceptibility to autoimmune disorders. Hence, our study offers significant support for the possible use of drugs targeting ESR1 for the management of autoimmune disorders. MR and drug repurposing are utilized to investigate the relationship between autoimmune diseases and bone mineral density, with a focus on ESR1.

Health Service Utilization Patterns Among Medicaid Enrollees With Intellectual and Developmental Disabilities Before and During the COVID-19 Pandemic: Implications for Pandemic Response and Recovery Efforts.

OBJECTIVES: To assess the impact of COVID-19 on health service utilization of adults with intellectual and developmental disabilities (IDDs) through an analysis of Medicaid claims data. DESIGN: Retrospective cohort study of Medicaid claims. SETTING AND PARTICIPANTS: Medicaid members aged 25 to 64 years from January 1, 2018, to March 31, 2021, from the states of Louisiana, Pennsylvania, and Wyoming. INTERVENTION: We analyzed data from two 12-month time periods (pre-COVID-19 and during COVID-19) and assessed the potential impact of the COVID-19 pandemic on health service utilization and service intensity for 3 cohorts: (1) IDD with preexisting mental health diagnoses, (2) IDD without mental health diagnoses, and (3) all other Medicaid members. MAIN OUTCOME MEASURE: Health service utilization determined by specific claims data classifications. RESULTS: The analysis showed reduced utilization for nonmental health service types with differing utilization patterns for IDD with preexisting mental health diagnoses, IDD without mental health diagnoses, and all other Medicaid members. Change in utilization varied, however, for mental health service types. Measures of service intensity showed decreased numbers of members utilizing services across most service types and increased Medicaid claims per person across most mental health service categories but decreased Medicaid claims per person for most nonmental health services. CONCLUSIONS: Results suggest a need for mental health services among all Medicaid members during the COVID-19 pandemic. By anticipating these needs, communities may be able to expand outreach to Medicaid members through enhanced case management, medication checks, and telemedicine options.

High-Performance Method and Architecture for Attention Computation in DNN Inference.

In recent years, The combination of Attention mechanism and deep learning has a wide range of applications in the field of medical imaging. However, due to its complex computational processes, existing hardware architectures have high resource consumption or low accuracy, and deploying them efficiently to DNN accelerators is a challenge. This paper proposes an online-programmable Attention hardware architecture based on compute-in-memory (CIM) marco, which reduces the complexity of Attention in hardware and improves integration density, energy efficiency, and calculation accuracy. First, the Attention computation process is decomposed into multiple cascaded combinatorial matrix operations to reduce the complexity of its implementation on the hardware side; second, in order to reduce the influence of the non-ideal characteristics of the hardware, an online-programmable CIM architecture is designed to improve calculation accuracy by dynamically adjusting the weights; and lastly, it is verified that the proposed Attention hardware architecture can be applied for the inference of deep neural networks through Spice simulation. Based on the 100nm CMOS process, compared with the traditional Attention hardware architectures, the integrated density and energy efficiency are increased by at least 91.38 times, and latency and computing efficiency are improved by about 12.5 times.

High-performance CO detection based on a PhC cavity in terahertz band.

Combined with the light absorption from molecular vibration, photonic crystal (PhC) cavity structures have gradually shown great potential in gas detection, particularly for toxic gases. We proposed a PhC cavity with a high-quality factor of 1.24 × 106 and a small mode volume of 2.3 × 10-4 (λ/n)3, which was used for carbon monoxide detection. To reduce the interference of other gases, we set the resonance frequency in the terahertz band. The numerical analysis shows that the structure has good selectivity and high sensitivity, and the linear fitting of the results provides the possibility to realize the application, which has great competitiveness in the same type of sensor structure. Additionally, we also proved that the interference of H2O and CO2 on the CO sensing can be ignored, and it supports the detection of CO without pre-drying.

Effect of a comprehensive geriatric assessment nursing intervention model on older patients with diabetes and hypertension.

BACKGROUND: The Comprehensive Geriatric Assessment (CGA) was introduced late in China and is primarily used for investigating and evaluating health problems in older adults in outpatient and community settings. However, there are few reports on its application in hospitalized patients, especially older patients with diabetes and hypertension. AIM: To explore the nursing effect of CGA in hospitalized older patients with diabetes and hypertension. METHODS: We performed a retrospective single-center analysis of patients with comorbid diabetes mellitus and hypertension who were hospitalized and treated in the Jiangyin Hospital of Traditional Chinese Medicine between September 2020 and June 2022. Among the 80 patients included, 40 received CGA nursing interventions (study group), while the remaining 40 received routine nursing care (control group). The study group's comprehensive approach included creating personalized CGA profiles, multidisciplinary assessments, and targeted interventions in areas, such as nutrition, medication adherence, exercise, and mental health. However, the control group received standard nursing care, including general and medical history collection, fall prevention measures, and regular patient monitoring. After 6 months of nursing care implementation, we evaluated the effectiveness of the interventions, including assessments of blood glucose levels fasting blood glucose, 2-h postprandial blood glucose, and glycated hemoglobin, type A1c (HbA1c); blood pressure indicators such as diastolic blood pressure (DBP) and systolic blood pressure (SBP); quality of life as measured by the 36-item Short Form Survey (SF-36) questionnaire; and treatment adherence. RESULTS: After 6 months, the nursing outcomes indicated that patients who underwent CGA nursing interventions experienced a significant decrease in blood glucose indicators, such as fasting blood glucose, 2-h postprandial blood glucose, and HbA1c, as well as blood pressure indicators, including DBP and SBP, compared with the control group (P < 0.05). Quality of life assessments, including physical health, emotion, physical function, overall health, and mental health, showed marked improvements compared to the control group (P < 0.05). In the study group, 38 patients adhered to the clinical treatment requirements, whereas only 32 in the control group adhered to the clinical treatment requirements. The probability of treatment adherence among patients receiving CGA nursing interventions was higher than that among patients receiving standard care (95% vs 80%, P < 0.05). CONCLUSION: The CGA nursing intervention significantly improved glycemic control, blood pressure management, and quality of life in hospitalized older patients with diabetes and hypertension, compared to routine care.

Risk factors and management countermeasures for obstructive sleep apnea hypoventilation syndrome in children.

BACKGROUND: Obstructive sleep apnea hypoventilation syndrome (OSAHS) in children is a sleep respiratory disorder characterized by a series of pathophysiologic changes. Statistics in recent years have demonstrated an increasing yearly incidence. AIM: To investigate the risk factors for OSAHS in children and propose appropriate management measures. METHODS: This study had a case-control study design. Altogether, 85 children with OSAHS comprised the case group, and healthy children of the same age and sex were matched at 1:1 as the control group. Basic information, including age, sex, height, weight and family history, and medical history data of all study participants were collected. Polysomnography was used to detect at least 8 h of nocturnal sleep. All participants were clinically examined for the presence of adenoids, enlarged tonsils, sinusitis, and rhinitis. RESULTS: The analysis of variance revealed that the case group had a higher proportion of factors such as adenoid grading, tonsil indexing, sinusitis, and rhinitis than the control group. CONCLUSION: A regression model was established, and glandular pattern grading, tonsil indexing, sinusitis, and pharyngitis were identified as independent risk factors affecting OSAHS development.

Mechanisms and applications of the regenerative capacity of platelets-based therapy in knee osteoarthritis.

Osteoarthritis (OA) is the most prevalent joint disease in the elderly population and its substantial morbidity and disability impose a heavy economic burden on patients and society. Knee osteoarthritis (KOA) is the most common subtype of OA, which is characterized by damage to progressive articular cartilage, synovitis, and subchondral bone sclerosis. Most current treatments for OA are palliative, primarily aim at symptom management, and do not prevent the progression of the disease or restore degraded cartilage. The activation of α-granules in platelets releases various growth factors that are involved in multiple stages of tissue repair, suggesting potential for disease modification. In recent years, platelet-based therapies, such as platelet-rich plasma, platelet-rich fibrin, and platelet lysates, have emerged as promising regenerative treatments for KOA, but their related effects and mechanisms are still unclear. Therefore, this review aims to summarize the biological characteristics and functions of platelets, classify the products of platelet-based therapy and related preparation methods. Moreover, we summarize the basic research of platelet-based regeneration strategies for KOA and discuss the cellular effects and molecular mechanisms. Further, we describe the general clinical application of platelet-based therapy in the treatment of KOA and the results of the meta-analysis of randomized controlled trials.

Analyzing the topological properties of resting-state brain function network connectivity based on graph theoretical methods in patients with high myopia.

AIM: Recent imaging studies have found significant abnormalities in the brain's functional or structural connectivity among patients with high myopia (HM), indicating a heightened risk of cognitive impairment and other behavioral changes. However, there is a lack of research on the topological characteristics and connectivity changes of the functional networks in HM patients. In this study, we employed graph theoretical analysis to investigate the topological structure and regional connectivity of the brain function network in HM patients. METHODS: We conducted rs-fMRI scans on 82 individuals with HM and 59 healthy controls (HC), ensuring that the two groups were matched for age and education level. Through graph theoretical analysis, we studied the topological structure of whole-brain functional networks among participants, exploring the topological properties and differences between the two groups. RESULTS: In the range of 0.05 to 0.50 of sparsity, both groups demonstrated a small-world architecture of the brain network. Compared to the control group, HM patients showed significantly lower values of normalized clustering coefficient (γ) (P = 0.0101) and small-worldness (σ) (P = 0.0168). Additionally, the HM group showed lower nodal centrality in the right Amygdala (P < 0.001, Bonferroni-corrected). Notably, there is an increase in functional connectivity (FC) between the saliency network (SN) and Sensorimotor Network (SMN) in the HM group, while the strength of FC between the basal ganglia is relatively weaker (P < 0.01). CONCLUSION: HM Patients exhibit reduced small-world characteristics in their brain networks, with significant drops in γ and σ values indicating weakened global interregional information transfer ability. Not only that, the topological properties of the amygdala nodes in HM patients significantly decline, indicating dysfunction within the brain network. In addition, there are abnormalities in the FC between the SN, SMN, and basal ganglia networks in HM patients, which is related to attention regulation, motor impairment, emotions, and cognitive performance. These findings may provide a new mechanism for central pathology in HM patients.

Mechanisms of Medial Wall Thinning in Chronic Total Occlusion.

BACKGROUND: The success rate of percutaneous coronary intervention (PCI) for chronic total occlusion (CTO) is lower and the risk for complications higher compared with other non-CTO PCI. Although interventionalists focus on intimal plaque characteristics, the coronary media is an important (especially for techniques involving antegrade dissection and re-entry) but poorly understood structure in CTO PCI. OBJECTIVES: The aim of the present study was to investigate coronary medial wall thinning in CTO lesions and determine how this thinning might affect CTO PCI. METHODS: A total of 2,586 sections were investigated, from arteries with evidence of CTO from 54 subjects (1,383 sections) and arteries without evidence of CTO from 54 subjects with non-coronary-related deaths (1,203 sections) after matching for age, gender, body weight, and body height. RESULTS: The medial thickness in subjects with CTO was lower than that in those with non-coronary-related death (P < 0.001). In subjects with CTO, CTO lesions had thinner medial walls compared with those with lower luminal narrowing (P < 0.001). At the CTO distal segments, the 6- to 12-mm distal segment from the distal end of the CTO had significantly less luminal narrowing (P < 0.001), and similar medial thickness, compared with the distal end of the CTO. Immunohistochemical analysis revealed that short-duration CTO had more cleaved caspase-3-positive cells in media and had significantly more CD3+, CD4+, CD8+, and CD4+CD28null T cells compared with long-duration CTO. CONCLUSIONS: CTO lesions demonstrated coronary medial thinning compared with non-CTO lesions. Further investigation of the cause-and-effect relationship among inflammation, apoptosis, and coronary medial wall thinning is warranted in future mechanistic studies.

Indole induces anxiety-like behaviour in mice mediated by brainstem locus coeruleus activation.

The gut microbiota produces metabolites that enrich the host metabolome and play a part in host physiology, including brain functions. Yet the biological mediators of this gut-brain signal transduction remain largely unknown. In this study, the possible role of the gut microbiota metabolite indole, originating from tryptophan, was investigated. Oral administration of indole to simulate microbial overproduction of this compound in the gut consistently led to impaired locomotion and anxiety-like behaviour in both C3H/HeN and C57BL/6J mice. By employing c-Fos protein expression mapping in mice, we observed a noticeable increase in brain activation within the dorsal motor nucleus of the vagus nerve (DMX) and the locus coeruleus (LC) regions in a dose-dependent manner. Further immune co-labelling experiments elucidated that the primary cells activated within the LC were tyrosine hydroxylase positive. To delve deeper into the mechanistic aspects, we conducted chemogenetic activation experiments on LC norepinephrine neurons with two doses of clozapine N-oxide (CNO). Low dose of CNO at 0.5 mg/kg induced no change in locomotion but anxiety-like behaviour, while high dose of CNO at 2 mg/kg resulted in locomotion impairment and anxiety-like behaviour. These findings support the neuroactive roles of indole in mediating gut-brain communication. It also highlights the LC as a novel hub in the gut-brain axis, encouraging further investigations.

Dual-Mode Ce-MOF Nanozymes for Rapid and Selective Detection of Hydrogen Sulfide in Aquatic Products.

Increasing concern over the safety of consumable products, particularly aquatic products, due to freshness issues, has become a pressing issue. Therefore, ensuring the quality and safety of aquatic products is paramount. To address this, a dual-mode colorimetric-fluorescence sensor utilizing Ce-MOF as a mimic peroxidase to detect H2S was developed. Ce-MOF was prepared by a conventional solvothermal synthesis method. Ce-MOF catalyzed the oxidation of 3,3',5,5'-tetramethylbenzidine (TMB) by hydrogen peroxide (H2O2) to produce blue oxidized TMB (oxTMB). When dissolved, hydrogen sulfide (H2S) was present in the solution, and it inhibited the catalytic effect of Ce-MOF and caused the color of the solution to fade from blue to colorless. This change provided an intuitive indication for the detection of H2S. Through steady-state dynamic analysis, the working mechanism of this sensor was elucidated. The sensor exhibited pronounced color changes from blue to colorless, accompanied by a shift in fluorescence from none to light blue. Additionally, UV-vis absorption demonstrated a linear correlation with the H2S concentration, ranging from 200 to 2300 µM, with high sensitivity (limit of detection, LOD = 0.262 µM). Fluorescence intensity also showed a linear correlation, ranging from 16 to 320 µM, with high selectivity and sensitivity (LOD = 0.156 µM). These results underscore the sensor's effectiveness in detecting H2S. Furthermore, the sensor enhanced the accuracy of H2S detection and fulfilled the requirements for assessing food freshness and safety.

Comparison of Efficacy and Safety of Combined Chemoimmunotherapy With or Without Radiation Therapy for Stage IVB Esophageal Squamous Cell Carcinoma: A Multicenter Propensity Score Matching Analysis.

PURPOSE: This study aimed to compare the efficacy and safety of combining first-line chemoimmunotherapy with radiation therapy versus chemoimmunotherapy alone in patients with stage IVB esophageal squamous cell carcinoma (ESCC). METHODS AND MATERIALS: We retrospectively examined 409 patients with stage IVB ESCC who received first-line chemotherapy and anti-PD-1 antibody, with or without radiation therapy of ≥40 Gy radiation dose to primary lesion, from 4 academic cancer centers between October 2018 and December 2022. Propensity score matching was conducted to minimize the potential confounding effects. RESULTS: In the overall cohort of 409 patients, the group that received additional radiation therapy had superior overall survival (OS) (hazard ratio [HR], 0.51; 95% CI, 0.39-0.66; P < .001) and progression-free survival (PFS) (HR, 0.52; 95% CI, 0.40-0.66; P < .001) compared to the group that received chemoimmunotherapy alone. After 1:1 propensity score matching, matching age, tumor location, and metastatic sites, a total of 250 patients were selected for further analysis. The results remained consistent and showed that the addition of radiation therapy significantly improved OS and PFS (median OS, 24.9 vs 14.6 months; P = .003; median PFS, 14.2 vs 10.6 months; P = .002). Multivariate Cox analysis including tumor location, T stage, metastatic sites, and treatment modality, revealed that radiation therapy was an independent prognostic factor for both OS (HR, 0.57; 95% CI, 0.41-0.81) and PFS (HR, 0.63, 95% CI, 0.47-0.86). Subgroup analyses revealed significant OS prolongation in patients with nonregional lymph node metastases only who received radiation therapy (HR, 0.49; 95% CI, 0.34-0.70). No OS survival benefit was observed in those with distant organ metastases (HR, 0.72; 95% CI, 0.46-1.13). Regarding safety, the group receiving additional radiation therapy had higher incidences of grade 3 to 4 lymphopenia (74.4% vs 17.7%, P < .001) and esophagitis (11.2% vs 2.4%, P = .006). CONCLUSIONS: The addition of radiation therapy to chemoimmunotherapy improved the survival of stage IVB ESCC patients with nonregional lymph node metastasis.

Dan-Lou tablets reduce inflammatory response by inhibiting the activation of NLRP3 inflammasome for coronary heart disease.

BACKGROUND: The activation of the NLRP3 inflammasome has recently been revealed as a novel pathological mechanism of coronary heart disease (CHD). The Dan-Lou tablets (DLT) is widely used in the clinical treatment of CHD and prescription characterized by multi-component and multi-target regulation. However, the anti-inflammatory mechanism of DLT in the treatment of CHD remains unclear. PURPOSE: This study aimed to evaluate the effect of DLT in the treatment of CHD on the priming and activation of the NLRP3 inflammasome and to investigate the underlying anti-inflammatory mechanisms. METHODS: First, CHD rats model were established by a high-fat diet combined with left anterior coronary artery ligation (LADCA) followed by DLT intervention. The therapeutic effect of DLT was evaluated according to cardiac function, lipid level, and cardiac histopathology. Next, data-independent acquisition (DIA) proteomics was used to identify the key differential proteins of DLT intervention in CHD rats, and bioinformatics analysis was performed. Finally, the differentially expressed proteins in the NOD-like signaling pathway were verified based on bioinformatics results, and the priming and activation steps of the NLRP3 inflammasome were detected. RESULTS: In this study, a high-fat diet combined with LADCA was utilized to generate a CHD model, and DLT alleviated myocardial ischemia injury by inhibiting lipid deposition and inflammatory response. Proteomic studies observed that the RNF31, TXN2, and GBP2 of the NOD-like receptor signaling pathway were verified as the key targets of DLT in inhibiting myocardial injury in CHD rats. Furthermore, DLT in the treatment of CHD rats may function through the downregulation of P2X7R expression, thereby interfering with the priming (TLR4/MyD88/NF-κB) and activation (NLRP3/ASC/Caspase-1) of the NLRP3 inflammasome regulated by HSP90, and may then reduce the release of the IL-1ß and IL-18 inflammatory factors to play an anti-myocardial injury effect. CONCLUSION: Our findings elucidate a novel mechanism of DLT and provide some new drug evaluation targets and therapeutic strategies for CHD. This study innovatively proposed that DLT further exerts an anti-myocardial injury effect by inhibiting P2X7R expression, thereby interfering with the priming (TLR4/MyD88/NF-κB) and activation (NLRP3/ASC/Caspase-1) of the NLRP3 inflammasome regulated by HSP90, and then downregulates the release of the IL-1ß and IL-18 inflammatory factors.

[Tofacitinib inhibits the transformation of lung fibroblasts into myofibroblasts through JAK/STAT3 pathway].

OBJECTIVE: To investigate the effect of tofacitinib, a pan-Janus kinase (JAK) inhibitor, on transforming growth factor-beta 1 (TGF-ß1)-induced fibroblast to myofibroblast transition (FMT) and to explore its mechanism. To provide a theoretical basis for the clinical treatment of connective tissue disease-related interstitial lung disease (CTD-ILD). METHODS: (1) Human fetal lung fibroblast 1 (HFL-1) were cultured in vitro, and 6 groups were established: DMSO blank control group, TGF-ß1 induction group, and TGF-ß1 with different concentrations of tofacitinib (0.5, 1.0, 2.0, 5.0 µmol/L) drug intervention experimental groups. CCK-8 was used to measure the cell viability, and wound-healing assay was performed to measure cell migration ability. After 48 h of combined treatment, quantitative real-time PCR (RT-PCR) and Western blotting were used to detect the gene and protein expression levels of α-smooth muscle actin (α-SMA), fibronectin (FN), and collagen type Ⅰ (COL1). (2) RT-PCR and enzyme-linked immunosorbnent assay (ELISA) were used to detect the interleukin-6 (IL-6) gene and protein expression changes, respectively. (3) DMSO carrier controls, 1.0 µmol/L and 5.0 µmol/L tofacitinib were added to the cell culture media of different groups for pre-incubation for 30 min, and then TGF-ß1 was added to treat for 1 h, 6 h and 24 h. The phosphorylation levels of Smad2/3 and signal transducer and activator of transcription 3 (STAT3) protein were detected by Western blotting. RESULTS: (1) Tofacitinib inhibited the viability and migration ability of HFL-1 cells after TGF-ß1 induction. (2) The expression of α-SMA, COL1A1 and FN1 genes of HFL-1 in the TGF-ß1-induced groups was significantly up-regulated compared with the blank control group (P < 0.05). Compared with the TGF-ß1 induction group, α-SMA expression in the 5.0 µmol/L tofacitinib intervention group was significantly inhi-bited (P < 0.05). Compared with the TGF-ß1-induced group, FN1 gene was significantly inhibited in each intervention group at a concentration of 0.5-5.0 µmol/L (P < 0.05). Compared with the TGF-ß1-induced group, the COL1A1 gene expression in each intervention group did not change significantly. (3) Western blotting results showed that the protein levels of α-SMA and FN1 in the TGF-ß1-induced group were significantly higher than those in the control group (P < 0.05), and there was no significant difference in the expression of COL1A1. Compared with the TGF-ß1-induced group, the α-SMA protein level in the intervention groups with different concentrations decreased. And the differences between the TGF-ß1-induced group and 2.0 µmol/L or 5.0 µmol/L intervention groups were statistically significant (P < 0.05). Compared with the TGF-ß1-induced group, the FN1 protein levels in the intervention groups with different concentrations showed a downward trend, but the difference was not statistically significant. There was no difference in COL1A1 protein expression between the intervention groups compared with the TGF-ß1-induced group. (4) After TGF-ß1 acted on HFL-1 cells for 48 h, the gene expression of the IL-6 was up-regulated and IL-6 in culture supernatant was increased, the intervention with tofacitinib partly inhibited the TGF-ß1-induced IL-6 gene expression and IL-6 in culture supernatant. TGF-ß1 induced the increase of Smad2/3 protein phosphorylation in HFL-1 cells for 1 h and 6 h, STAT3 protein phosphorylation increased at 1 h, 6 h and 24 h, the pre-intervention with tofacitinib inhibited the TGF-ß1-induced Smad2/3 phosphorylation at 6 h and inhibited TGF-ß1-induced STAT3 phosphorylation at 1 h, 6 h and 24 h. CONCLUSION: Tofacitinib can inhibit the transformation of HFL-1 cells into myofibroblasts induced by TGF-ß1, and the mechanism may be through inhibiting the classic Smad2/3 pathway as well as the phosphorylation of STAT3 induced by TGF-ß1, thereby protecting the disease progression of pulmonary fibrosis.

The fungal protease BbAorsin contributes to growth, conidiation, germination, virulence, and antiphytopathogenic activities in Beauveria bassiana (Hypocreales: Cordycipitaceae).

The fall armyworm, Spodoptera frugiperda (Lepidoptera: Noctuidae), is one of the most destructive agricultural pests. The entomopathogenic fungus Beauveria bassiana (Hypocreales: Clavicipitaceae) is a biopesticide widely used for biocontrol of various pests. Secreted fungal proteases are critical for insect cuticle destruction and successful infection. We have previously shown that the serine protease BbAorsin in B. bassiana has entomopathogenic and antiphytopathogenic activities. However, the contribution of BbAorsin to fungal growth, conidiation, germination, virulence and antiphytopathogenic activities remains unclear. In this study, the deletion (ΔBbAorsin), complementation (Comp), and overexpression (BbAorsinOE) strains of B. bassiana were generated for comparative studies. The results showed that ΔBbAorsin exhibited slower growth, reduced conidiation, lower germination rate, and longer germination time compared to WT and Comp. In contrast, BbAorsinOE showed higher growth rate, increased conidiation, higher germination rate and shorter germination time. Injection of BbAorsinOE showed the highest virulence against S. frugiperda larvae, while injection of ΔBbAorsin showed the lowest virulence. Feeding BbAorsinOE resulted in lower pupation and adult eclosion rates and malformed adults. 16S rRNA sequencing revealed no changes in the gut microbiota after feeding either WT or BbAorsinOE. However, BbAorsinOE caused a disrupted midgut, leakage of gut microbiota into the hemolymph, and upregulation of apoptosis and immunity-related genes. BbAorsin can disrupt the cell wall of the phytopathogen Fusarium graminearum and alleviate symptoms in wheat seedlings and cherry tomatoes infected with F. graminearum. These results highlight the importance of BbAorsin for B. bassiana and its potential as a multifunctional biopesticide.

A simple and economical method for unbiasedly quantifying the alveolar size of entire mouse lung tissue utilizing Hematoxylin and Eosin Staining.

Alveolar, the smallest structural and functional units within the respiratory system, play a crucial role in maintaining lung function. Alveolar damage is a typical pathological hallmark of respiratory diseases. Nevertheless, there is currently no simple, rapid, economical, and unbiased method for quantifying alveolar size for entire lung tissue. Here, firstly, we conducted lung sample slicing based on the size, shape, and distribution of airway branches of different lobes. Next, we performed HE staining on different slices. Then, we provided an unbiased quantification of alveolar size using free software ImageJ. Through this protocol, we demonstrated that C57Bl/6 mice exhibit varying alveolar sizes among different lobes. Collectively, we provided a simple and unbiased method for a more comprehensive quantification of alveolar size in mice, which holds promise for a broader range of respiratory research using mouse models.