AIM: To investigate the effect of intense pulsed light(IPL)combined with Yuyin Runmu formula fumigation and meibomian gland massage on the treatment of patients with meibomian gland dysfunction(MGD)-related dry eye.METHODS: Prospectively selected 198 cases(396 eyes)of MGD-related dry eye patients admitted to our hospital from November 2021 to November 2023, and they were randomly divided into 99 cases(198 eyes)in control group treated with fumigation of Yuyin Runmu formula and meibomian gland massage, and 99 cases(198 eyes)in observation group treated with combined IPL on the basis of the control group. The efficacy of the two groups was compared, as well as the changes in the levels of ocular indexes [tear film break-up time(BUT), Schirmer I test(SⅠt)], visual quality [objective scattering index(OSI), Strehl ratio(SR), and modulation transfer function(MTF)], lipid layer thickness(LLT)of the tear film, and changes in tear fluid levels of inflammatory factors [tumour necrosis factor-α(TNF-α)and transforming growth factor-beta 1(TGF-β1)].RESULTS: All the patients completely received the treatment and follow-up. The levels of BUT, SⅠt, SR, MTF, and LLT increased and the levels of OSI, TNF-α, and TGF-β1 decreased in the two groups at 2 mo after treatment(all P<0.001), and the observation group was more favourable(all P<0.001).CONCLUSION: IPL combined with Yuyin Runmu formula fumigation and meibomian gland massage is effective in treating MGD-related dry eye, improving patients' ocular parameters, visual quality, and LLT, and decreasing the levels of inflammatory factors in the tear fluid.

RNA-binding proteins (RBPs) are ubiquitous components within cells, fulfilling essential functions in a myriad of biological processes. These proteins interact with RNA molecules to regulate gene expression at various levels, including transcription, splicing, transport, localization, translation, and degradation. Understanding the intricate network of RBP-RNA interactions is crucial for deciphering the complex regulatory mechanisms that govern cellular function and organismal development. Ultravidet (UV) cross-linking and immunoprecipitation (CLIP) stands out as a powerful approach designed to map the precise locations where RBPs bind to RNA. By using UV light to create covalent bonds between proteins and RNA, followed by immunoprecipitation to isolate the protein-RNA complexes, researchers can identify the direct targets of specific RBPs. The advent of high-throughput sequencing technologies has revolutionized CLIP, enabling the identification of not only the types but also the exact sequences of RNA bound by RBPs on a genome-wide scale. The evolution of CLIP has led to the development of specialized variants, each with unique features that address specific challenges and expand the scope of what can be studied. High-throughput sequencing CLIP (HITS-CLIP) was one of the first advancements, significantly increasing the throughput and resolution of RNA-protein interaction mapping. Photoactivatable-ribonucleoside-enhanced CLIP (PAR-CLIP) introduced the use of photoactivatable ribonucleosides to enhance cross-linking efficiency and specificity, reducing background noise and improving the detection of low-abundance RNA-protein interactions. Individual-nucleotide resolution CLIP (iCLIP) further refined the technique, achieving unprecedented precision by resolving individual nucleotides involved in RBP binding, which is particularly valuable for studying the fine details of RNA structure and function. Despite the remarkable progress, there remains room for improvement in CLIP technology. Researchers continue to seek methods to increase sensitivity, reduce technical variability, and improve the reproducibility of results. Advances in sample preparation, data analysis algorithms, and computational tools are critical for addressing these challenges. Moreover, the application of CLIP to more diverse biological systems, including non-model organisms and clinical samples, requires the development of tailored protocols and the optimization of existing ones. Looking forward, the field of RNA biology is poised to benefit greatly from ongoing innovations in CLIP technology. The exploration of non-canonical RNA-protein interactions, such as those involving long non-coding RNAs (lncRNAs) and circular RNAs (circRNAs), promises to reveal new layers of cellular regulation and may lead to the discovery of novel therapeutic targets. Furthermore, integrating CLIP data with other omics approaches, such as proteomics and metabolomics, will provide a more comprehensive understanding of the dynamic interplay between RNA and its binding partners within the cell. In conclusion, the continuous refinement and expansion of CLIP techniques have not only deepened our knowledge of RNA biology but have also opened up new avenues for investigating the molecular underpinnings of health and disease. As the technology matures, it is expected to play an increasingly pivotal role in both basic and applied research, contributing to the advancement of medical science and biotechnology.

In recent years, the application of artificial intelligence (AI) in the field of biology has witnessed remarkable advancements. Among these, the most notable achievements have emerged in the domain of protein structure prediction and design, with AlphaFold and related innovations earning the 2024 Nobel Prize in Chemistry. These breakthroughs have transformed our ability to understand protein folding and molecular interactions, marking a pivotal milestone in computational biology. Looking ahead, it is foreseeable that the accurate prediction of various physicochemical properties of proteins—beyond static structure—will become the next critical frontier in this rapidly evolving field. One of the most important protein properties is thermodynamic stability, which refers to a protein’s ability to maintain its native conformation under physiological or stress conditions. Accurate prediction of protein stability, especially upon single-point mutations, plays a vital role in numerous scientific and industrial domains. These include understanding the molecular basis of disease, rational drug design, development of therapeutic proteins, design of more robust industrial enzymes, and engineering of biosensors. Consequently, the ability to reliably forecast the stability changes caused by mutations has broad and transformative implications across biomedical and biotechnological applications. Historically, protein stability was assessed via experimental methods such as differential scanning calorimetry (DSC) and circular dichroism (CD), which, while precise, are time-consuming and resource-intensive. This prompted the development of computational approaches, including empirical energy functions and physics-based simulations. However, these traditional models often fall short in capturing the complex, high-dimensional nature of protein conformational landscapes and mutational effects. Recent advances in machine learning (ML) have significantly improved predictive performance in this area. Early ML models used handcrafted features derived from sequence and structure, whereas modern deep learning models leverage massive datasets and learn representations directly from data. Deep neural networks (DNNs), graph neural networks (GNNs), and attention-based architectures such as transformers have shown particular promise. GNNs, in particular, excel at modeling spatial and topological relationships in molecular structures, making them well-suited for protein modeling tasks. Furthermore, attention mechanisms enable models to dynamically weigh the contribution of specific residues or regions, capturing long-range interactions and allosteric effects. Nevertheless, several key challenges remain. These include the imbalance and scarcity of high-quality experimental datasets, particularly for rare or functionally significant mutations, which can lead to biased or overfitted models. Additionally, the inherently dynamic nature of proteins—their conformational flexibility and context-dependent behavior—is difficult to encode in static structural representations. Current models often rely on a single structure or average conformation, which may overlook important aspects of stability modulation. Efforts are ongoing to incorporate multi-conformational ensembles, molecular dynamics simulations, and physics-informed learning frameworks into predictive models. This paper presents a comprehensive review of the evolution of protein thermodynamic stability prediction techniques, with emphasis on the recent progress enabled by machine learning. It highlights representative datasets, modeling strategies, evaluation benchmarks, and the integration of structural and biochemical features. The aim is to provide researchers with a structured and up-to-date reference, guiding the development of more robust, generalizable, and interpretable models for predicting protein stability changes upon mutation. As the field moves forward, the synergy between data-driven AI methods and domain-specific biological knowledge will be key to unlocking deeper understanding and broader applications of protein engineering.

Objective: Data on syncopal donation-related vasovagal reaction (DRVR) collected from 74 blood centers between 2020 and 2023 was statistically analyzed to provide a reference for developing preventive strategies against syncopal DRVR. Methods: Data on blood donation adverse reactions and basic information of donors from 2020 to 2023 were collected through the information management system at monitoring sentinel sites. Statistical analysis was performed on the following aspects of syncopal DRVR: characteristics of donors who experienced syncope, reported incidence, triggers, duration, presence and occurrence time of syncope-related trauma, clinical management including outpatient and inpatient treatment, and severity grading. Results: From 2020 to 2023, 45 966 donation-related adverse reactions were recorded. Of these, 1 665 (3.72%) cases were syncopal DRVR. The incidence of syncopal DRVR decreased with age, being the highest in the 18-22 age group. Incidence was significantly higher in female donors than male donors, in first-time donors than repeat donors, and in university and individual donors than group donors (all P<0.05). There was no statistically significant difference among different blood donation locations (P>0.05). The top three triggers were tension, fatigue, and needle phobia or fear of blood. Among syncopal DRVR cases, 60.36% occurred during blood collection, 87.63% lasted for less than 60 seconds, and 5.05% were accompanied by trauma. Notably, 57.14% of these traumas occurred after donor had left the blood collection site. Syncope severity was graded based on required treatment: grade 1 (fully recovered without treatment, 95.50%); grade 2 (recovered after outpatient treatment, 4.02%); and grade 3 (recovered after inpatient treatment, 0.48%). Conclusion: By analyzing the data of syncopal DRVR cases, it is possible to provide a reference for formulating blood donor safety policies.

Objective To systematically evaluate the efficacy and safety of proximal gastrectomy (PG) versus total gastrectomy (TG) for the treatment of Siewert type Ⅱ/Ⅲ adenocarcinoma of the esophagogastric junction (AEG). Methods PubMed, The Cochrane Library, Web of Science, EMbase, CNKI, Wanfang, and VIP databases were searched for literature comparing the efficacy and safety of PG and TG for the treatment of Siewert type Ⅱ/Ⅲ AEG. The search period was from database inception to March 2023. Meta-analysis was performed using Review Manager 5.4 software. Results A total of 23 articles were included, including 16 retrospective cohort studies, 5 prospective cohort studies, and 2 randomized controlled trials. The total sample size was 2 826 patients, with 1 389 patients undergoing PG and 1 437 patients undergoing TG. Meta-analysis results showed that compared with TG, PG had less intraoperative blood loss [MD=−19.85, 95%CI (−37.20, −2.51), P=0.02] and shorter postoperative hospital stay [MD=−1.23, 95%CI (−2.38, −0.08), P=0.04]. TG had a greater number of lymph nodes dissected [MD=−6.20, 95%CI (−7.68, −4.71), P<0.001] and a lower incidence of reflux esophagitis [MD=3.02, 95%CI (1.24, 7.34), P=0.01]. There were no statistically significant differences between the two surgical approaches in terms of operative time, postoperative survival rate (1-year, 3-year, 5-year), and postoperative overall complications (P>0.05). Conclusion PG has advantages in terms of intraoperative blood loss and postoperative hospital stay, while TG has advantages in terms of the number of lymph nodes dissected and the incidence of reflux esophagitis. There is no significant difference in long-term survival between the two surgical approaches.

This review described the potential health threats to the cardiovascular system from micro-nano plastics (MNPs) and their multifaceted toxicity mechanisms. The article reviewed the environmental distribution of MNPs, exposure pathways, and their toxic effects on the cardiovascular system, and summarized the specific mechanisms of MNPs involving oxidative stress, inflammatory response, mitochondrial damage, apoptosis, pyroptosis, and autophagy dysregulation. Meanwhile, the combined toxic effects of MNPs with other environmental pollutants (e.g., heavy metals and polycyclic aromatic hydrocarbons), including synergistic, antagonistic, and dual effects, were analyzed, and the potential risks of MNPs as carriers of microorganisms and toxic chemicals were pointed out. The widespread presence of MNPs and their complex toxicity mechanisms may make them important triggers for cardiovascular diseases, but current research still suffers from unbalanced studies across environmental systems, incomplete understanding of plastic properties, and limited knowledge of long-term biological effects. Future research should focus on the long-term effects of MNPs, the joint toxicity mechanisms with other pollutants, and the differential effects across population subgroups. It is suggested to accelerate plastic recycling technology innovation, promote biodegradable materials, and optimize waste treatment process to mitigate the potential threat of MNPs pollution to human health. Through multidisciplinary collaboration and in-depth research, combining innovative concepts from toxicology, public health policy, and environmental science, it is expected to provide new methods and approaches for the prevention and treatment of cardiovascular diseases associated with MNPs.

Objective We aimed to evaluate the clinical efficacy of promoting blood circulation and eliminating phlegm method in preventing and treating patients with hydrocephalus after acute intracerebral hemorrhage.Methods This study included 139 patients with acute intracerebral hemorrhage who visited Affiliated Hospital of Chengdu University of Traditional Chinese Medicine,Guangyuan Hospital of Traditional Chinese Medicine,Affiliated Hospital of North Sichuan Medical College,Meishan Hospital of Traditional Chinese Medicine,and Xuyong Hospital of Traditional Chinese Medicine from September 2019 to June 2023.Patients who met the exposure factors of"using the method of promoting blood circulation and eliminating phlegm"were classified into the integrated Chinese and Western medicine cohort,while those who did not meet the exposure factors were classified into the Western medicine cohort.Clinical efficacy,incidence of hydrocephalus after intracerebral hemorrhage,sum of maximum distance between the anterior horn of the lateral ventricle and the head of the caudate nucleus(Huckman value),size of the hematoma,incidence of endpoint events,National Institutes of Health Stroke Scale(NIHSS)score,Modified Rankin Scale(mRS)score,and Barthel index score between two cohorts were compared.Results Total clinical effective rates for patients with hydrocephalus in the two cohorts were 60.0%and 75.0%,respectively.The total effective rate of the integrated Chinese and Western medicine cohort was higher than that of the Western medicine cohort(P<0.05).After 28 days of treatment,the incidence of hydrocephalus in patients in the integrated Chinese and Western medicine cohort was lower than that of the Western medicine cohort,and the Huckman value decreased compared with the Western medicine cohort(P<0.05).Compared with 24 hours after onset,both cohorts showed a reduction in hematoma size after 28 days of treatment;compared with the Western medicine cohort,patients in the integrated Chinese and Western medicine cohort had reduced hematoma size(P<0.05).After 6 months of onset,the number of deaths in the integrated Chinese and Western medicine cohort decreased compared with the Western medicine cohort(P<0.05).Compared with 28 days of treatment,the NIHSS and mRS scores of the patients in both cohorts decreased after 6 months,while the Barthel index score increased;compared with the Western medicine cohort,patients in the integrated Chinese and Western medicine cohort showed a decrease in the NIHSS and mRS scores after both 28 days of treatment and 6 months,while the Barthel index score increased(P<0.05).Conclusion Promoting blood circulation and eliminating phlegm can effectively prevent and treat hydrocephalus after intracerebral hemorrhage and does not increase the risk of bleeding within 24 hours.

Objective To evaluate the short-term results of sleeve wrapping technique using remnant aortic wall in modified Bentall procedure. Methods The patients undergoing modified Bentall procedure with the remnant aortic wall as a sleeve to cover the sewing area of composite valved graft and the aortic annulus for proximal hemostasis between March 2021 and March 2022 in Shenzhen Fuwai Hospital were enrolled. Short-term results were assessed by cardiopulmonary bypass time, aortic clamping time, mechanical ventilation time, ICU stay, postoperative hospital stay, effusion drainage on the first postoperative day, left ventricular ejection fraction (LVEF), left ventricular end diastolic diameter (LVEDD), and follow-up results. Results A total of 14 patients were collected, including 12 males and 2 females, with a mean age of 55.33±10.57 years. There was no postoperative or follow-up death. Cardiopulmonary bypass time was 147.90±21.29 min, aortic clamping time was 115.70±15.23 min, mechanical ventilation time was 19.42±8.98 h, ICU stay was 99.08±49.42 h, and postoperative hospital stay was 16.33±2.74 d. Thoracic drainage volume was 333.33±91.98 mL on the first postoperative day. Only 2 patients required blood transfusion (4.5 U and 2 U, respectively). During the follow-up of 6.17±3.69 months, there was no death, no aortic or valve-related complications. There was statistical difference in the LVEDD between preoperation and before discharge after surgery (P＜0.001), and between half a year after surgery and before discharge after surgery (P＜0.001). There was a little decrease of LVEF before discharge after surgery compared with preoperative LVEF, but there was no statistical difference (P=0.219). There was no statistical difference in the LVEF half a year after operation compared with that before operation (P=1.000). Conclusion Sleeve wrapping technique using remnant aortic wall in modified Bentall procedure has good short-term results. This modification may be a simple, effective way in controlling proximal bleeding.

A novel series of 2-aryl substituted benzothiopyranone compounds was designed and synthesized based on our previously obtained benzothiopyranone scaffold with significant antituberculosis activity. All target compounds were evaluated for their antimycobacterial activity and preliminary druggability was subsequently investigated for some selected compounds with good activity. The results indicated that most compounds showed good activity against Mycobacterium tuberculosis H₃₇Rv. Among them, compounds 8g, 8h, 8q and 9f showed potent activity with MIC ranged from 0.2 to 0.4 μg·mL^-1. Furthermore, some active compounds exhibited low cytotoxicity and cardiotoxicity risk. It is worth noting that compounds 8h and 8q with good liver microsome stability and low inhibition of CYPs 3A4/5 and 2C9 were suitable for combination drug regimen to treat tuberculosis.

In the present study, the antibacterial spectrum of turmeric extract was analyzed by measuring the minimum inhibitory concentration (MIC), and the antibacterial mechanism of turmeric extract was elaborated by determining its effects on the permeability and integrity of the cytoplasmic membrane, energy metabolism, and the morphology of the tested bacteria (Bacillus subtilis) with the highest susceptibility to the extract. The results showed that turmeric extract possessed broad-spectrum antibacterial activity against Gram-positive, Gram-negative bacteria and fungi, especially against Bacillus subtilis, with the MIC of 0.5 mg·mL^-1. Turmeric extract disrupted the liposome membrane and released calcein encapsulated within it. The permeability of the bacterial cell membrane was increased, leading to leakage of intracellular K⁺, Ca²⁺and cell wall proteins, and the integrity of the cell membrane was broken down, causing leakage of intracellular proteins and polysaccharides. Scanning electron microscope observation confirmed that the bacteria treated with turmeric extract was severely deformed. Simultaneously, cellular energy metabolism was affected, resulting in a significant reduction in the intracellular ATP content and ATPase activity in bacteria. In summary, the antibacterial mode of turmeric extract is closely related to its disruption of bacterial membrane structure.