Biomolecules & biomedicine最新文献

Postoperative pneumonia (PP) is one of the most serious complications following coronary artery bypass graft (CABG) surgery. The recently developed admission blood glucose (ABG)/estimated average glucose (eAG) ratio has been identified as a prognostic marker in cardiovascular diseases. This study aimed to investigate the predictive role of the modified ABG/eAG (mABG/eAG) ratio in the development of pneumonia during the early postoperative period in diabetic patients undergoing CABG surgery. In this single-center study, diabetic patients who underwent isolated coronary bypass surgery at the Training and Research Hospital between 1 January 2018 and 1 January 2023 were included. Patients who did not develop PP were assigned to the control group, while those who developed PP were assigned to the PP group. A total of 549 patients were included in the study, 478 patients in the control group (median age = 58 years [range 35-81]) and 71 patients in the PP group (median age = 63 years [37-86]). In the multivariate analysis, the use of packed blood products (odds ratio [OR] = 1.685, 95% confidence interval [CI]: 1.453 - 1.892; P = 0.027), mABG/eAG ratio (OR = 1.659, 95% CI: 1.190 - 2.397; P = 0.019), and re-intubation (OR = 1.829, 95% CI: 1.656 - 1.945; P = 0.034) were identified as independent predictors for the development of PP. Our findings demonstrate that the mABG/eAG ratio is an independent predictor of PP in diabetic patients undergoing CABG surgery. Based on our results, high-risk patients can be identified by calculating the mABG/eAG ratio.

Circular RNA (circRNA) has been widely studied as a competitive endogenous RNA targeting microRNA (miRNA)/messenger RNA to regulate cancer progression. However, the regulatory mechanism of circ_0023179 in non-small cell lung cancer (NSCLC) remains unclear. The expression levels of circ_0023179, miR-615-5p and Cadherin 3 (CDH3) in NSCLC were detected using quantitative real-time polymerase chain reaction. The stability of circ_0023179 was verified using ribonuclease R enzyme, actinomycin D and agarose gel electrophoresis. Colony formation and thymidine analog 5-ethynyl-2'-deoxyuridine assays were performed to examine proliferation changes in NSCLC cells. Western blot was used to assess the levels of CDH3 and epithelial-mesenchymal transition (EMT)-related marker proteins to evaluate EMT. Dual-luciferase reporter, RNA immunoprecipitation (RIP), and RNA pull-down assays were performed to explore the potential mechanisms of circ_0023179 in regulating NSCLC progression. Finally, the effects of circ_0023179 on NSCLC tumour growth in vivo were explored using a nude mouse subcutaneous tumour model. The results showed that the expression of circ_0023179 was remarkably higher in NSCLC tissues and cells, and it had a significant effect on NSCLC cell proliferation. Additionally, the knockdown of circ_0023179 significantly inhibited tumour growth in NSCLC mice. Mechanistically, circ_0023179 alleviated its inhibition of downstream CDH3 through the sponge-like adsorption of miR-615-5p. The downregulation of miR-615-5p and the upregulation of CDH3 mitigated the inhibitory effect of silencing circ_0023179 on NSCLC cell proliferation. In conclusion, silencing circ_0023179 inhibited NSCLC cell proliferation by targeting the miR-615-5p/CDH3 axis involved in NSCLC progression.

Coarctation of the aorta (CoA) ranks among the most prevalent congenital heart defects and poses a life-threatening risk if left undiagnosed. Herein, we utilized fetal heart quantification (HQ) technology to improve the prenatal prediction of CoA. A retrospective analysis was conducted on 64 fetal cases with suspected aortic arch constriction, identified through prenatal ultrasound findings between November 2020 and March 2022 at the Department of Ultrasound, Sir Run Run Shaw Hospital, Zhejiang University. According to the follow-up results, these cases were divided into two groups: 35 cases confirmed as CoA by postpartum surgery or induction, and 29 cases initially suspected of CoA prenatally but subsequently ruled out postnatally. Additionally, 88 cases of normal fetuses were randomly selected as the control group. Both conventional M-mode ultrasound techniques and Fetal HQ software were utilized for fetal analysis across all groups. Parameters related to the heart were measured, including fetal 4-CV length, width, Global Spherical Index (GSI), Mitral Annular Plane Systolic Excursion (MAPSE), areas and ratios of the left and right ventricles, as well as lengths and ratios of the left and right ventricles. Functional measurements of the left and right ventricles included ejection fraction (EF), fractional area change (FAC), global longitudinal strain (GLS), fractional shortening (FS), end-diastolic diameter (ED), and sphericity index (SI). Left ventricular (LV)-GLS, LV-FAC, LV-EF, and LV-EF Z-score could potentially differentiate between true CoA and false CoA or normal groups and serve as potential indicators for the clinical diagnosis of CoA. The receiver operating characteristic (ROC) curves indicated that LV-GLS and LV-EF Z-score have the greatest predictive power for CoA diagnosis. The segments 6-12 of FS in the confirmed CoA group were significantly lower than those in the false CoA and normal groups. Fetal HQ technology, by assessing changes in the size and shape of the heart, can provide relatively reliable parameter support for the prenatal diagnosis of fetal aortic coarctation.

A comprehensive evaluation of the relationship between the densities of various cell types in the breast cancer tumor microenvironment and patient prognosis is currently lacking. Additionally, the absence of a large patch-level whole slide imaging (WSI) dataset of breast cancer with annotated cell types hinders the ability of artificial intelligence to evaluate cell density in breast cancer WSI. We first employed Lasso-Cox regression to build a breast cancer prognosis assessment model based on cell density in a population study. Pathology experts manually annotated a dataset containing over 70,000 patches and used transfer learning based on ResNet152 to develop an artificial intelligence model for identifying different cell types in these patches. The results showed that significant prognostic differences were observed among breast cancer patients stratified by cell density score (P = 0.0018), with the cell density score identified as an independent prognostic factor for breast cancer patients (P < 0.05). In the validation cohort, the predictive performance for overall survival (OS) was satisfactory, with area under the curve (AUC) values of 0.893 (OS) at 1-year, 0.823 (OS) at 3-year, and 0.861 (OS) at 5-year intervals. We trained a robust model based on ResNet152, achieving over 99% classification accuracy for different cell types in patches. These achievements offer new public resources and tools for personalized treatment and prognosis assessment.

The association between serum pentraxin-3 (PTX-3) levels and chronic obstructive pulmonary disease (COPD) has been explored in several studies. However, the results remain inconsistent. This meta-analysis aims to evaluate the differences in serum PTX-3 levels between COPD patients and healthy controls, as well as between patients with acute exacerbations of COPD (AECOPD) and stable COPD. Databases including PubMed, Embase, Web of Science, Wanfang, and China National Knowledge Infrastructure (CNKI) were systematically searched. A random-effects model was used to pool the results, accounting for the potential impact of heterogeneity. Subgroup and meta-regression analyses were performed to evaluate the influence of study characteristics on the outcome. The initial search identified 274 articles, with 17 studies meeting the inclusion criteria. These studies included a total of 996 AECOPD patients, 1414 stable COPD patients, and 1016 healthy controls. The meta-analysis showed significantly higher serum PTX-3 levels in COPD patients compared to healthy controls (standardized mean difference [SMD]: 0.51, 95% confidence interval [CI]: 0.30 to 0.73, P < 0.001; I² = 85%). Subgroup and meta-regression analyses suggested that the results were not significantly affected by the age, sex, or smoking status of the patients. Additionally, serum PTX-3 levels were higher in AECOPD patients compared to stable COPD patients (SMD: 0.58, 95% CI: 0.41 to 0.74, P < 0.001; I² = 59%). In conclusion, serum PTX-3 levels are elevated in COPD patients, particularly during acute exacerbations, compared to stable COPD patients and healthy controls. PTX-3 may serve as a potential biomarker for COPD severity and exacerbation status.

Sepsis, a systemic inflammatory response caused by infection, can lead to sepsis-associated encephalopathy (SAE), characterized by brain dysfunction without direct central nervous system infection. The pathogenesis of SAE involves blood-brain barrier disruption, neuroinflammation and neuronal death, with neuroinflammation being the core process. Nogo-A, a neurite growth-inhibitory protein in the central nervous system, is not well understood in sepsis. This study explores Nogo-A's mechanisms in sepsis, focusing on SAE. Using in vivo and in vitro methods, healthy SPF C57BL/6J male mice were divided into Sham, Nogo-A-NC-Model, and Nogo-A-KD-Model groups, with sepsis induced by abdominal ligation and puncture. Morris water maze tests assessed learning and memory, and brain tissues underwent hematoxylin-eosin (HE) staining, Nissl staining, and Western blot analysis. In vitro, Nogo-A gene knockdown models were constructed using BV-2 microglia cells to study inflammation and oxidative stress. Results showed Nogo-A expression affected learning and memory in septic mice, with knockdown reducing neuronal damage. Bioinformatics analysis suggested Nogo-A may activate reactive oxygen species (ROS) to inhibit p-SHP2, activating mitochondrial autophagy and promoting neuronal apoptosis. Western blot results confirmed that Nogo-A affects mitochondrial autophagy and neuronal survival by inhibiting SHP2 and activating ROS. Nogo-A's role in neuroinflammation and neuroprotection was emphasized, revealing its impact on endoplasmic reticulum (ER) stress, mitochondrial autophagy, and NLRP3 inflammasome activation. This study provides a theoretical basis for SAE treatment, suggesting further multi-gene and multi-pathway analyses and validation in clinical samples. Developing gene therapy and drug interventions targeting Nogo-A pathways will offer more effective treatment strategies.

Pulmonary artery smooth muscle cell (PASMC) dysfunction is the central pathogenic mechanism in pulmonary hypertension (PH). This study explored the mechanism of action of RUNX1, a potential therapeutic target for PH, in PASMCs. A PH mouse model was used to investigate the impacts of RUNX1 knockdown on hemodynamics, right ventricular hypertrophy (RVH), and pulmonary artery remodeling (hematoxylin–eosin [H&E] staining). Isolated PASMCs were transfected with RUNX1- or chromobox 5 (CBX5)-related vectors and then subjected to cell function assays. Immunoprecipitation was used to detect molecular binding and ubiquitination. RUNX1 knockdown reduced right ventricular systolic pressure (RVSP), RVH, and pulmonary artery remodeling in mice with PH. Knockdown of RUNX1 or CBX5 suppressed proliferation, invasion, and migration and stimulated apoptosis in PASMCs under hypoxia. RUNX1 enhanced ubiquitin-specific protease 15 (USP15) promoter activity. USP15 bound to CBX5 and reduced CBX5 ubiquitination, thereby promoting CBX5 expression. CBX5 overexpression promoted the proliferation and movement of hypoxic PASMCs with reduced RUNX1 expression and decreased their apoptosis. In conclusion, RUNX1 knockdown inhibits USP15 transcription to promote the ubiquitination and degradation of CBX5, thereby alleviating PH in mice and reducing hypoxia-induced PASMC dysfunction.

Cardiovascular diseases (CVDs) are a major challenge in global health. Despite significant advances in treatment and management, the incidence and mortality rates of CVDs have been rising in recent years, particularly in the United States. With continuous advancements in medical technology, perioperative transesophageal echocardiography (TEE) has become a key technology in cardiac surgery, enhancing surgical success rates and patient safety. The application of TEE spans preoperative planning, intraoperative monitoring, and postoperative evaluation, especially in complex procedures such as mitral valve repair and aortic valve replacement, where it plays an indispensable role. Simultaneously, the introduction of artificial intelligence (AI) brings new prospects for TEE image analysis and diagnostic support, significantly improving diagnostic accuracy and real-time decision-making capabilities. However, the application of TEE technology faces challenges such as high costs, uneven technological diffusion, and the high skill requirements for medical personnel. Therefore, establishing standardized training protocols and strengthening multidisciplinary collaboration are crucial. This paper reviews the application of TEE in cardiac surgery and its path toward educational and practical standardization from a global perspective, emphasizing its importance in improving the postoperative quality of life for patients and exploring future directions in technological innovation and educational optimization.

This study aimed to investigate the prognostic value of the Naples Prognostic Score (NPS) in patients with locally advanced cervical cancer (LACC) who received curative concurrent chemoradiotherapy (CCRT). Clinicopathological data from 213 (training set) and 106 (validation set) LACC cases undergoing CCRT were retrospectively analyzed. The receiver operating characteristic curve (ROC) was used to compare the predictive ability of NPS and other indicators for survival. Cox proportional hazard regression was conducted for overall survival (OS) and progression-free survival (PFS). A prediction model using a nomogram was developed with independent prognostic factors in the training set and validated in the validation set. The 5-year OS for the NPS = 1, 2, and 3 groups was 56.8%, 45.4%, and 28.9% (P < 0.001), and the 5-year PFS for the NPS = 1, 2, and 3 groups was 44.9%, 36.7%, and 28.4% (P = 0.001), respectively. NPS showed better predictive ability for OS and PFS compared to other indicators. Multivariate regression analysis identified NPS as an independent prognostic factor for OS (P < 0.001) and PFS (P < 0.001). A predictive nomogram based on NPS was established and validated. The C-indices of the nomogram in the training set were 0.722 for OS and 0.683 for PFS, while in the validation set the C-indices were 0.731 for OS and 0.693 for PFS. This study confirmed that preoperative NPS could serve as a useful independent prognostic factor in LACC patients treated with CCRT.

Gastric cancer (GC) remains a significant global health challenge, particularly prevalent in East Asia. Despite advancements in various treatment modalities, the prognosis for patients, especially those in advanced stages, remains poor, highlighting the need for innovative therapeutic approaches. This review explores the promising potential of diterpenes, naturally occurring compounds with robust anticancer properties, derived from diverse sources such as plants, marine organisms, and fungi. Diterpenes have shown the ability to influence reactive oxygen species (ROS) generation, ferroptosis, and autophagy, positioning them as attractive candidates for novel cancer therapies. This review explores the mechanisms of action of diterpenes and their clinical implications for the treatment of GC. Additionally, it addresses the challenges in translating these compounds from preclinical studies to clinical applications, emphasizing the need for further research to enhance their therapeutic profiles and minimize potential side effects. The discussion underscores the importance of diterpenes in future anticancer strategies, particularly in the fight against gastric cancer.