RESUMEN

Several observational studies indicated a close association between prostate cancer and COVID-19. Nevertheless, whether there was a causal effect between them remained obscure. In this study, we aimed to detect the potential association between genetically determined prostate cancer and the risk of COVID-19. A bidirectional Mendelian randomization (MR) study was conducted to investigate the causal links between prostate cancer and COVID-19. Inverse variance weighted (IVW), MR-Egger, weighted median, weighted mode, and simple mode were used to estimate the causality. PIVW < 0.05 was considered statistically significant. The top single nucleotide polymorphisms associated with prostate cancer cases (n = 79,148) and COVID-19 cases (n = 54,071) were extracted from the summary genome-wide association study data obtained from a publicly available database. Cochran Q test was utilized to calculate the degree of heterogeneity. Additionally, we validated our findings in another replication cohort. In the forward MR study, the IVW method suggested no evidence for the causal effect of prostate cancer on COVID-19 susceptibility (OR = 1.00, 95%CI: 0.98-1.02, P = .978), COVID-19 hospitalization (OR = 1.05, 95%CI: 0.99-1.09, P = .054), and COVID-19 severity (OR = 1.03, 95%CI: 0.95-1.11, P = .453). Reverse MR analysis also showed no causal effect of COVID-19 diverse phenotypes on prostate cancer. Furthermore, the result of the East Asian cohort study was consistent with the European cohort. Sensitivity analysis showed no evidence of pleiotropy and heterogeneity. We did not discover genetic evidence to substantiate causal links between prostate cancer and COVID-19. Large-scale randomized controlled trials were required to enhance a more profound comprehension of this relationship in the future.

Asunto(s)

RESUMEN

Background: Pulmonary embolism (PE) is a serious and potentially life-threatening condition that requires prompt diagnosis and treatment. Identifying risk factors and diagnostic markers can aid in the early detection and management of this condition. Methods: This case-control study examined 10,077 patients admitted to Shenzhen Kangning Hospital's psychiatry facility in 2020. Among these, 65 patients were diagnosed with PE, including 50 new cases. After survival sampling for controls and age-and-gender matching, the study included 41 new PE cases and 41 age-and-gender-matched controls. Data on demographics, comorbidities, and medication use were extracted from electronic records. Conditional logistic regression analyses were performed to determine the association between each predictor and PE risk. Additionally, the sensitivity and specificity of the d-dimer diagnostic tool were assessed. Results: In univariable conditional logistic regression, active alcoholism was associated with a higher PE risk (OR=3.675, 95% CI 1.02-13.14, P=0.046). A history of physical restraint (OR=4.33, 95% CI 1.24-15.21, P=0.022) and chemical restraint (OR 4.67, 95% CI 1.34-16.24, p=0.015) also increased PE risk, as did benzodiazepine use (OR=3.33, 95% CI 1.34-8.30, P=0.010). Conversely, psychotropic medication before admission was associated with a lower risk of PE (OR=0.07, 95% CI 0.01-0.59, P=0.013). Stepwise multivariable forward conditional regression identified two subsets of psychiatric patients at higher risk of PE: new psychiatric cases without medication at admission who were chemically restrained, and cases without medication at admission who were started on antipsychotics and benzodiazepines. The d-dimer diagnostic tool, with an optimal threshold of 570 ng/ml determined by the Youden index (J statistic of 0.6098), showed a sensitivity of 73.17% and specificity of 87.80% for detecting PE, with an AUC of 0.833 (95% CI: 0.735-0.906). Conclusion: Our findings suggest that a history of restraint, alcoholism, and the use of antipsychotics and benzodiazepines are important predictors of PE in psychiatric inpatients. Conversely, psychotropic medications at admission may be linked to a lower PE risk. The d-dimer diagnostic tool shows good value for screening PE in psychiatric inpatients. These predictors and diagnostic markers could help clinicians identify high-risk patients and implement appropriate prevention strategies.

RESUMEN

Background: Proprotein convertase subtilisin/kexin type 9 (PCSK9), 3-hydroxy-3-methylglutaryl-coenzyme A reductase (HMGCR), cholesteryl ester transfer protein (CETP) and apolipoprotein C3 (APOC3) are pivotal regulators of lipid metabolism, with licensed drugs targeting these genes. The use of lipid-lowering therapy via the inhibition of these genes has demonstrated a reduction in the risk of cardiovascular disease. However, concerns persist regarding their potential long-term impact on aortic diseases and calcific aortic valve disease (CAVS). This study aims to investigate causal relationships between genetic variants resembling these genes and aortic disease, as well as calcific aortic valve disease using Mendelian randomization (MR). Methods: We conducted drug-target Mendelian randomization employing summary-level statistics of low-density lipoprotein cholesterol (LDL-C) to proxy the loss-of-function of PCSK9, HMGCR, CETP and APOC3. Subsequently, we investigated the association between drug-target genetic variants and calcific aortic valve stenosis and aortic diseases, including thoracic aortic aneurysm (TAA), abdominal aortic aneurysm (AAA), and aortic dissection (AD). Results: The genetically constructed variants mimicking lower LDL-C levels were associated with a decreased risk of coronary artery disease, validating their reliability. Notably, HMGCR inhibition exhibited a robust protective effect against TAA (odds ratio (OR): 0.556, 95% CI: 0.372-0.831, p = 0.004), AAA (OR: 0.202, 95% CI: 0.107-0.315, p = 4.84 × 10-15), and AD (OR: 0.217, 95% CI: 0.098-0.480, p = 0.0002). Similarly, PCSK9, CETP and APOC3 inhibition proxies reduced the risk of AAA (OR: 0.595, 95% CI: 0.485-0.730, p = 6.75 × 10-7, OR: 0.127, 95% CI: 0.066-0.243, p = 4.42 × 10-10, and OR: 0.387, 95% CI: 0.182-0.824, p = 0.014, respectively) while showing a neutral impact on TAA and AD. Inhibition of HMGCR, PCSK9, and APOC3 showed promising potential in preventing CAVS with odds ratios of 0.554 (OR: 0.554, 95% CI: 0.433-0.707, p = 2.27 × 10-6), 0.717 (95% CI: 0.635-0.810, p = 9.28 × 10-8), and 0.540 (95% CI: 0.351-0.829, p = 0.005), respectively. However, CETP inhibition did not demonstrate any significant benefits in preventing CAVS (95% CI: 0.704-1.544, p = 0.836). The consistency of these findings across various Mendelian randomization methods, accounting for different assumptions concerning genetic pleiotropy, enhances the causal inference. Conclusions: Our MR analysis reveals that genetic variants resembling statin administration are associated with a reduced risk of AAA, TAA, AD and CAVS. HMGCR, PCSK9 and APOC3 inhibitors but not CETP inhibitors have positive benefits of reduced CAVS. Notably, PCSK9, CETP and APOC3 inhibitors exhibit a protective impact, primarily against AAA, with no discernible benefits extending to TAA or AD.

RESUMEN

OBJECTIVE: To investigate the interplay between individual nighttime and midday sleep duration and the number of new-onset chronic diseases and determine the optimal sleep duration associated with lowest number of new-onset chronic diseases. METHODS: We used data from the China Health and Retirement Longitudinal Study (CHARLS) covering a decade and involving 10,828 participants. A random intercept cross-lagged model was used to explore the interplay between nighttime/midday sleep durations and new-onset chronic diseases at both the within-individual and between-individual levels, followed by a dose-response analysis at the between-individual level to determine the optimal sleep duration. New-onset chronic diseases include 14 types of self-reported diseases diagnosed by doctors. RESULTS: Within-individual analysis revealed that increased nighttime/midday sleep duration led to a higher number of new-onset chronic diseases, and an increased number of new-onset chronic diseases resulted in decreased nighttime sleep duration. Between nighttime and midday sleep, one type of sleep duration increase was likely to lead to an increase in another type. Between-individual analysis found a nonlinear relationship between the number of new-onset chronic diseases and nighttime sleep duration, identifying the optimal nighttime sleep duration as 7.46 h. CONCLUSIONS: These findings elucidate the interplay between sleep duration and number of new-onset chronic diseases and underscore the need for public awareness and comprehensive interventions. Future studies should focus on refining sleep monitoring and exploring the sleep-chronic diseases nexus in greater depth.

RESUMEN

Industrial Control Systems (ICSs) have faced a significant increase in malware threats since their integration with the Internet. However, existing machine learning-based malware identification methods are not specifically optimized for ICS environments, resulting in suboptimal identification performance. In this work, we propose an innovative method explicitly tailored for ICSs to enhance the performance of malware classifiers within these systems. Our method integrates the opcode2vec method based on preprocessed features with a conditional variational autoencoder-generative adversarial network, enabling classifiers based on Convolutional Neural Networks to identify malware more effectively and with some degree of increased stability and robustness. Extensive experiments validate the efficacy of our method, demonstrating the improved performance of malware classifiers in ICSs. Our method achieved an accuracy of 97.30%, precision of 92.34%, recall of 97.44%, and F1-score of 94.82%, which are the highest reported values in the experiment.

RESUMEN

Background: Telomere has been recognized as a biomarker of accelerating aging, and telomere length (TL) shortening is closely related to diverse chronic illnesses. Human serum metabolites have demonstrated close correlations with TL maintenance or shortening in observational studies. Nevertheless, little is known about the underlying pathological mechanisms, and Mendelian randomization (MR) analysis of serum metabolites may provide a more comprehensive understanding of the potential biological process. Methods: We employed a two-sample MR analysis method to assess the causal links between 486 serum metabolites and TL. We applied the inverse-variance weighted (IVW) approach as our primary analysis, and to assure the stability and robustness of our results, additional analysis methods including the weighted median, MR-Egger, and weighted mode were conducted. MR-Egger intercept test was utilized to detect the pleiotropy. Cochran's Q test was implemented to quantify the extent of heterogeneity. Furthermore, the pathway analysis was conducted to identify potential metabolic pathways. Results: We identified 11 known blood metabolites associated with TL. Among these metabolites, four were lipid (taurocholate, dodecanedioate, 5,8-tetradecadienoate, and 15-methylpalmitate), one amino acid (levulinate (4-oxovaleate)), one carbohydrate (lactate), one nucleotide (pseudouridine), one energy (phosphate), and three xenobiotics (2-hydroxyacetaminophen sulfate, paraxanthine, and ergothioneine). The known protective metabolites included levulinate (4-oxovaleate), dodecanedioate, 5,8-tetradecadienoate, lactate, phosphate, paraxanthine, and ergothioneine. Multiple metabolic pathways have been identified as being implicated in the maintenance of telomere length. Conclusion: Our MR analysis provided suggestive evidence supporting the causal relationships between 11 identified blood metabolites and TL, necessitating further exploration to clarify the mechanisms by which these serum metabolites and metabolic pathways may affect the progression of telomeres.

RESUMEN

Metabolic syndrome has become a significant public health concern. This study aims to investigate the impact of dietary patterns on metabolic syndrome in young adults and how physical activity modulates this effect. A cross-sectional study was conducted at a health management center in Tianjin, China, from September 2022 to March 2023. Participants aged 18-35 years were recruited using convenience sampling. Dietary intake was assessed using a validated food frequency questionnaire. Logistic regression models evaluated associations between these patterns and metabolic syndrome, adjusting for potential confounders. Among 442 participants, four dietary patterns were identified: Legume-Nut, Alcohol-Meat, Sugar-Processed, and Egg-Vegetable. The Legume-Nut dietary pattern was associated with a higher risk of metabolic syndrome (OR = 2.63, 95% CI: 1.08-6.37), while the Egg-Vegetable dietary pattern was associated with a lower risk (OR = 0.26, 95% CI: 0.10-0.70). No significant associations were found for the Sugar-Processed and Alcohol-Meat patterns. Subgroup analysis revealed that the Legume-Nut pattern increased the risk of metabolic syndrome among those with irregular physical activity, whereas the Egg-Vegetable pattern decreased the risk. These findings highlight the significant influence of dietary patterns on the risk of metabolic syndrome in young adults and the modifying effect of regular physical activity, underscoring the need for targeted dietary and lifestyle interventions to prevent metabolic syndrome in this population.

Asunto(s)

RESUMEN

Exploring efficient and comprehensive utilization of agricultural waste to produce high value-added products has been global research hotspot. In this study, a novel process for integrated production of xylose and docosahexaenoic acid (DHA) from hemicellulose and cellulose in corncob was developed. Corncob was treated with dilute H2SO4 at 121 °C for 1 h and xylose was readily produced with a recovery yield of 79.35 %. The corncob residue was then subject to alkali pretreatment under optimized conditions of 0.1 g NaOH/g dry solid, 60 °C for 2 h, and the contents of cellulose, hemicellulose, and lignin in the resulting residue were 87.49 %, 7.58 % and 2.31 %, respectively. The cellulose in the residue was easily hydrolyzed by cellulase, yielding 74.87 g/L glucose with hydrolysis efficiency of 77.02 %. Remarkably, the corncob residue hydrolysate supported cell growth and DHA production in Schizochytrium sp. ATCC 20888 well, and the maximum biomass of 32.71 g/L and DHA yield of 4.63 g/L were obtained, with DHA percentage in total fatty acids of 36.89 %. This study demonstrates that the corncob residue generated during xylose production, rich in cellulose, can be effectively utilized for DHA production by Schizochytrium sp., offering a cost-effective and sustainable alternative to pure glucose.

Asunto(s)

RESUMEN

With the rapid development of industry, the risks factories face are increasing. Therefore, the anomaly detection algorithms deployed in factories need to have high accuracy, and they need to be able to promptly discover and locate the specific equipment causing the anomaly to restore the regular operation of the abnormal equipment. However, the neural network models currently deployed in factories cannot effectively capture both temporal features within dimensions and relationship features between dimensions; some algorithms that consider both types of features lack interpretability. Therefore, we propose a high-precision, interpretable anomaly detection algorithm based on variational autoencoder (VAE). We use a multi-scale local weight-sharing convolutional neural network structure to fully extract the temporal features within each dimension of the multi-dimensional time series. Then, we model the features from various aspects through multiple attention heads, extracting the relationship features between dimensions. We map the attention output results to the latent space distribution of the VAE and propose an optimization method to improve the reconstruction performance of the VAE, detecting anomalies through reconstruction errors. Regarding anomaly interpretability, we utilize the VAE probability distribution characteristics, decompose the obtained joint probability density into conditional probabilities on each dimension, and calculate the anomaly score, which provides helpful value for technicians. Experimental results show that our algorithm performed best in terms of F1 score and AUC value. The AUC value for anomaly detection is 0.982, and the F1 score is 0.905, which is 4% higher than the best-performing baseline algorithm, Transformer with a Discriminator for Anomaly Detection (TDAD). It also provides accurate anomaly interpretation capability.

RESUMEN

Melanosomes are specialized membrane-bound organelles where melanin is synthesized and stored. The levels of melanin can be effectively reduced by inhibiting melanin synthesis or promoting melanosome degradation via autophagy. Ceramide, a key component in the metabolism of sphingolipids, is crucial for preserving the skin barrier, keeping it hydrated, and warding off the signs of aging. Our preliminary study indicated that a long-chain C22-ceramide compound (Ehux-C22) isolated from the marine microalga Emiliania huxleyi, reduced melanin levels via melanosomal autophagy in B16 cells. Recently, microRNAs (miRNAs) were shown to act as melanogenesis-regulating molecules in melanocytes. However, whether the ceramide Ehux-C22 can induce melanosome autophagy at the post-transcriptional level, and which potential autophagy-dependent mechanisms are involved, remains unknown. Here, miR-199a-3p was screened and identified as a novel upregulated miRNA in Ehux-C22-treated B16 cells. An in vitro high melanin expression model in cultured mouse melanoma cells (B16 cells) was established by using 0.2 µM alpha-melanocyte-stimulating hormone(α-MSH) and used for subsequent analyses. miR-199a-3p overexpression significantly enhanced melanin degradation, as indicated by a reduction in the melanin level and an increase in melanosome autophagy. Further investigation demonstrated that in B16 cells, Ehux-C22 activated miR-199a-3p and inhibited mammalian target of rapamycin(mTOR) level, thus activating the mTOR-ULK1 signaling pathway by promoting the expression of unc-51-like autophagy activating kinase 1 (ULK1), B-cell lymphoma-2 (Bcl-2), Beclin-1, autophagy-related gene 5 (ATG5), and microtubule-associated protein light chain 3 (LC3-II) and degrading p62. Therefore, the roles of Ehux-C22-regulated miR-199a-3p and the mTOR pathway in melanosomal autophagy were elucidated. This research may provide novel perspectives on the post-translational regulation of melanin metabolism, which involves the coordinated control of melanosomes.

Asunto(s)

RESUMEN

OBJECTIVES: Severe fever with thrombocytopenia syndrome (SFTS) is a newly emerging infectious disease caused by a novel bunyavirus in which host immune system suppression is thought to be crucial in disease development. Dendritic cells (DCs) are professional antigen-presenting cells (APCs) critical for initiation and orchestration of the immune response. And it have been suggested that functionally impaired DCs may mediate the suppression of host-specific T-cell immune responses and thus facilitate viral persistence and disease progression.This study was designed to improve the in vitro culture method for DCs and investigate the different immunologic functions of DCs between SFTS patients and healthy people. METHODS: All confirmed SFTS patients (N = 10) were recruited from the Jinan Infectious Diseases Hospital in 2019; routine laboratory parameters were collected. The frequencies, phenotypes were analyzed by flow cytometry. And the levels of 8 cytokines in the cell culture supernatant were detected by flow cytometry. RESULTS: On day 8 of the incubation period, cells were harvested and analyzed by flow cytometry. There were significant differences in the rates of CD1a-, CD83-positive cells between SFTS patients and healthy people (all P < 0.05). The detection of 8 cytokines in the culture supernatant showed that the expressions of IFN-α and IFN-γ in the culture supernatant of DC cells in SFTS patients were lower than those in normal people (P < 0.05, P < 0.01). CONCLUSIONS: The present results indicate that DCs may be functionally impaired in SFTS. A decreased level of circulating mDCs was closely correlated with SFTS progression.

RESUMEN

OBJECTIVES: As populations age, the issue of social participation among older adults has gained prominence. Studies indicate variability in social participation trajectories among this demographic, yet the transition patterns and their effects on depression remain unclear. This longitudinal study aims to explore the latent classes and transition patterns in social participation among older adults and to evaluate their effects on depression. METHODS: Data from the Chinese Longitudinal Healthy Longevity Survey (CLHLS) in 2014 (T1) and 2018 (T2) were analyzed, including 2293 older adults. Latent class analysis (LCA) and latent transition analysis (LTA) were employed to identify latent classes of social participation at T1 and T2, as well as the transition probabilities between these classes. Multinomial logistic regression was used to examine predictors of transitions, and depression levels at T2 were compared across transition patterns. RESULTS: The LCA results supported a 3-class model labeled as low, moderate, and high social participation. The probabilities of remaining stable and transitioning to other classes were similar across the three classes (ranging from 0.50 to 0.54). Age, gender, and other baseline characteristics emerged as significant predictors of transition patterns. Older adults experiencing positive transitions exhibited reduced depression compared to those in their original class over time, while those with negative transitions showed increased depression. CONCLUSIONS: This research prompts a deep understanding of social participation dynamics in older adults and their effects on depression. Identifying social participation classes and transition patterns could inform interventions to enhance social participation and reduce depression among older adults.

Asunto(s)

RESUMEN

Objective: The purpose of this study is to investigate the impact of dietary fibre on the mental health and cognitive function of children and adolescents. Methods: All interventional and observational studies that contained information on the relevant population (children and adolescents), intervention/exposures (high dietary fibre consumption) and outcomes (mental and cognitive parameters) were eligible. Eight electronic databases (Embase, Medline, Pubmed, Web of Science, Scopus, PsycINFO, Cochrane Library and ClinicalTrials.gov) were searched up to December 11, 2023. Results: A total of 15 studies (n = 4628) met inclusion criteria, consisting of 9 intervention trials and 6 observational studies. According to observational studies, higher dietary fibre consumption was associated with a 49% reduction in the odds of depression compared to lower intake (P < 0.0001; OR = 0.51; 95% CI: 0.38, 0.69; I2 = 0%). Furthermore, no significant correlations were found between dietary fibre consumption and intelligence or anxiety. Among intervention studies, no significant difference was observed between fibre supplementation and placebo in terms of anxiety (standardized mean difference (SMD): -0.23; 95% CI: -0.72, 0.27), stress (SMD: 0.03; 95% CI: -0.21, 0.28), memory (SMD: 0.46; 95% CI: -0.79, 1.71), or attention (SMD: -2.72; 95% CI: -6.30, 0.86). Conclusion: Evidence from observation studies demonstrated that higher dietary fibre consumption is associated with a decreased odds of depression symptoms, both in childhood and adolescence. However, the causal relationship between dietary fibre intake and mental and cognitive function in children and adolescents still requires further clarification through high-quality intervention studies in the future.

Asunto(s)

RESUMEN

Coronavirus disease 2019 (COVID-19) is a highly infectious disease caused by a novel human coronavirus called severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Diabetes is a well-known risk factor for infectious diseases with high prevalence and increased severity. Here, we elucidated the possible factors for the increased vulnerability of diabetic patients to SARS-CoV-2 infection and the more severe COVID-19 illness. The worsened prognosis of patients with both COVID-19 and diabetes may be attributable to host receptor angiotensin-converting enzyme 2-assisted viral uptake. Moreover, insulin resistance is often associated with impaired mucosal and skin barrier integrity, resulting in mic-robiota dysbiosis, which increases susceptibility to viral infections. It may also be associated with higher levels of pro-inflammatory cytokines resulting from an impaired immune system in diabetics, inducing a cytokine storm and excessive inflammation. This review describes diabetes mellitus and its complications, explains the risk factors, such as disease characteristics and patient lifestyle, which may contribute to the high susceptibility of diabetic patients to COVID-19, and discusses preventive and therapeutic strategies for COVID-19-positive diabetic patients.

RESUMEN

Given the worldwide epidemic of overweight and obesity among children, evidence-based dietary recommendations are fundamentally important for obesity prevention. Although the significance of the human gut microbiome in shaping the physiological effects of diet and obesity has been widely recognized, nutritional therapeutics for the mitigation of pediatric obesity globally are only just starting to leverage advancements in the nutritional microbiology field. In this review, we extracted data from PubMed, EMBASE, Scopus, Web of Science, Google Scholar, CNKI, Cochrane Library and Wiley online library that focuses on the characterization of gut microbiota (including bacteria, fungi, viruses, and archaea) in children with obesity. We further review host-microbe interactions as mechanisms mediating the physiological effects of dietary fibers and how fibers alter the gut microbiota in children with obesity. Contemporary nutritional recommendations for the prevention of pediatric obesity are also discussed from a gut microbiological perspective. Finally, we propose an experimental framework for integrating gut microbiota into nutritional interventions for children with obesity and provide recommendations for the design of future studies on precision nutrition for pediatric obesity.

Asunto(s)

RESUMEN

Trichoderma harzianum T4 is a soil fungus that plays an important role in the biological control of plant diseases. The aim of this study was to functionally characterize the ß-1,6-glucanase gene Neg1 in T. harzianum T4 and to investigate the effect of its overexpression on biocontrol traits, especially antagonism against pathogenic fungi. We found that overexpression of Neg1 did not affect growth of T. harzianum but enhanced sporulation of T. harzianum T4 cultures. Generally, spores are closely related to the defense ability of defense fungi and can assist their proliferation and improve their colonization ability. Secondly, overexpression of Neg1 also increased the secretion level of various hydrolytic enzymes and enhanced the antagonistic ability against phytopathogenic fungi of Fusarium spp. The results suggest that Neg1 is a key gene for improving the biocontrol effect of T. harzianum T4, which contributes to a better understanding of the mechanism of action of T. harzianum T4 as a fungal biocontrol agent.

Asunto(s)

RESUMEN

Background: In operable chronic thromboembolic pulmonary hypertension (CTEPH) patients, the utilization of bridging therapy with targeted medications prior to pulmonary endarterectomy (PEA) remains a topic of controversy, despite being common in cases of severe hemodynamic impairment. This study aims to assess the impact of riociguat as a bridging therapy on postoperative hemodynamics and outcomes. Methods: We conducted a retrospective study involving patients undergoing PEA from December 2016 to November 2023. Patients were categorized into two groups based on the use of riociguat before PEA. Pulmonary vascular resistance (PVR) following riociguat administration was assessed pre-PEA. Postoperative outcomes, including mortality, complications, and hemodynamics, were compared, employing propensity score matching analysis. Results: Among the patients, 41.8% (n=56) received riociguat as bridging therapy. In patients with PVR ≥800 dynes·sec·cm-5, riociguat resulted in a reduction in PVR {1,207 [974-1,698] vs. 1,125 [928-1,486] dynes·sec·cm-5, P<0.01}, while no significant difference was observed in patients with PVR <800 dynes·sec·cm-5 {641 [474-740] vs. 600 [480-768] dynes·sec·cm-5, P=0.46}. After propensity score matching, each group included 26 patients. The overall perioperative mortality rate was 2.6%. Postoperative PVR {326 [254-398] vs. 361 [290-445] dynes·sec·cm-5, P=0.35} was similar in the riociguat group compared to the control group. The incidence of residual pulmonary hypertension (PH) and other postoperative outcomes were also comparable. Conclusions: The use of riociguat as bridging therapy demonstrated hemodynamic improvement before PEA in patients with high preoperative PVR. However, no additional benefits in postoperative mortality or hemodynamics were observed.

RESUMEN

Severe acute respiratory syndrome coronavirus-2 is a highly contagious positive-sense, single-stranded RNA virus that has rapidly spread worldwide. As of December 17, 2023, 772838745 confirmed cases including 6988679 deaths have been reported globally. This virus primarily spreads through droplets, airborne transmission, and direct contact. Hospitals harbor a substantial number of confirmed coronavirus disease 2019 (COVID-19) patients and asymptomatic carriers, accompanied by high population density and a larger susceptible population. These factors serve as potential triggers for nosocomial infections, posing a threat during the COVID-19 pandemic. Nosocomial infections occur to varying degrees across different countries worldwide, emphasizing the urgent need for a practical approach to prevent and control the intra-hospital spread of COVID-19. This study primarily concentrated on a novel strategy combining preventive measures with treatment for combating COVID-19 nosocomial infections. It suggests preventive methods, such as vaccination, disinfection, and training of heathcare personnel to curb viral infections. Additionally, it explored therapeutic strategies targeting cellular inflammatory factors and certain new medications for COVID-19 patients. These methods hold promise in rapidly and effectively preventing and controlling nosocomial infections during the COVID-19 pandemic and provide a reliable reference for adopting preventive measures in the future pandemic.

RESUMEN

Objective: Pulmonary artery sarcoma (PAS) is an exceedingly rare and insufficiently investigated disease, leading to uncertain in its optimal management. This study aims to present our institutional experience and the outcomes of pulmonary endarterectomy for PAS. Methods: We gathered clinical characteristics, intraoperative data, postoperative outcomes, and prognosis information from PAS patients who underwent surgical treatment at our institution between December 2016 and September 2023. Results: A total of 20 patients with PAS underwent pulmonary endarterectomy. The median age of the patients was 52 (IQR 45, 57) years, with 12 patients (60%) being female. Intimal sarcoma was confirmed in 19 patients, while the remaining one was diagnosed with large cell neuroendocrine carcinoma. The perioperative mortality rate was three cases (15%). Follow-up was conducted for a median duration of 14 months (range: 1-61). During the follow-up period, 11 patients experienced recurrence or metastasis, and 5 patients succumbed to the disease. The estimated cumulative survival rates at 1 and 2 years for all 20 patients were 66.4% and 55.3%, respectively. Conclusion: Pulmonary endarterectomy emerges as a palliative but effective approach for managing PAS, particularly when complemented with postoperative therapies such as chemotherapy and targeted therapy, which collectively contribute to achieving favorable long-term survival outcomes.

RESUMEN

PURPOSE: This study aimed to confirm whether Kirsten rat sarcoma viral oncogene (KRAS) mutations affect the therapeutic efficacy of non-small cell lung cancer (NSCLC) and, if so, to explore what the possible mechanisms might be. METHODS: We retrospectively analyzed the efficacy of immunochemotherapy in KRAS-mutant NSCLC patients compared to driver-negative patients. Online data platforms were used to find immunotherapy cases, and survival analysis compared treatments' efficacy. Cytotoxicity assays measured chemosensitivity in KRAS-mutant versus wild-type NSCLC to drugs like paclitaxel, carboplatin, and pemetrexed. Bioinformatics confirmed the KRAS-SLC7A11 link and cell experiments tested SLC7A11's role in chemoresistance. Animal studies verified the antitumor effects of SLC7A11 inhibitors with chemotherapy. RESULTS: Patients with KRAS-mutated NSCLC have a shorter therapeutic effectiveness duration with immunochemotherapy than patients with driver gene-negative status. The efficacy of immunotherapy alone is similar between the two groups. The KRAS mutation can enhance chemoresistance by upregulating SLC7A11, and inhibiting SLC7A11 can increase the sensitivity of KRAS-mutated NSCLC to chemotherapy. CONCLUSION: This study suggests that KRAS-mutant NSCLC can enhance its acquired chemoresistance by overexpressing SLC7A11, leading to poorer therapeutic outcomes. Targeting the KRAS-SLC7A11 axis could increase sensitivity to chemotherapeutic drugs, providing theoretical support for future treatment directions.