The identification and optimization of mutations in nanobodies are crucial for enhancing their therapeutic potential in disease prevention and control. However, this process is often complex and time-consuming, which limit its widespread application in practice. In this study, we developed a workflow, named Evolutionary-Nanobody (EvoNB), to predict key mutation sites of nanobodies by combining protein language models (PLMs) and molecular dynamic (MD) simulations. By fine-tuning the ESM2 model on a large-scale nanobody dataset, the ability of EvoNB to capture specific sequence features of nanobodies was significantly enhanced. The fine-tuned EvoNB model demonstrated higher predictive accuracy in the conserved framework and highly variable complementarity-determining regions of nanobodies. Additionally, we selected four widely representative nanobody-antigen complexes to verify the predicted effects of mutations. MD simulations analyzed the energy changes caused by these mutations to predict their impact on binding affinity to the targets. The results showed that multiple mutations screened by EvoNB significantly enhanced the binding affinity between nanobody and its target, further validating the potential of this workflow for designing and optimizing nanobody mutations. Additionally, sequence-based predictions are generally less dependent on structural absence, allowing them to be more easily integrated with tools for structural predictions, such as AlphaFold 3. Through mutation prediction and systematic analysis of key sites, we can quickly predict the most promising variants for experimental validation without relying on traditional evolutionary or selection processes. The EvoNB workflow provides an effective tool for the rapid optimization of nanobodies and facilitates the application of PLMs in the biomedical field.

Spontaneous intracerebral hemorrhage (ICH) is the second common subtype of stroke, characterized by high incidence, high mortality and high disability rates. The recurrent ICH not only brings physical pain to patients, but also increases the burden on families and society. In recent years, researches on the risk factors for recurrent ICH have been increasing day by day. This article reviews the risk factors for recurrent ICH from the perspectives of clinical features, biomarkers, and imaging characteristics, in order to provide a basis for the secondary prevention of ICH.

Cerebral blood flow directly affects the metabolism of substances and neural activity in the brain, and is closely associated with the occurrence and development of cerebral small vessel disease (CSVD). Multiple studies have revealed that various imaging biomarkers in patients with CSVD, such as lacunar infarction, enlarged perivascular spaces, cerebral microbleeds, cerebral atrophy, and white matter hyperintensities, are closely associated with cerebral autoregulation (CA) function. Therefore, understanding the regulatory mechanism of CA in patients with CSVD is of great significance for delaying the further development of CSVD, improving cerebral ischemia and cognitive impairment. This article reviews the correlation and mechanism between CA and CSVD.

Pressure ulcer is a common complication of long-term bed rest in intensive care unit(ICU)patients,which can increase the risk of infection and prolong ICU hospitalization.They are an important indicator of patient safety and nursing quality in medical institutions.Early prevention of pressure ulcer is an important means of controlling their development.At present,the prevention of pressure ulcer mainly involves timed flipping and the use of pressure reducing devices.However,during the flipping process,it often requires two or more nursing staff to complete,which increases the workload and also exacerbates the occurrence of occupational lower back pain among nursing staff.In addition,existing pressure reducing devices still have certain limitations in use,and their functions are single,often requiring the combination of multiple tools to increase material and financial resources.Based on this,the research team from the department of critical care medicine of Hospital of Chengdu University of Traditional Chinese Medicine,has designed a nursing device for preventing pressure ulcer in critically ill patients,and has obtained a National Utility Model Patent of China(Patent Number:ZL 202320609787.6).It has several inflation components and connecting structures.The inflation components are equipped with a connected air inlet,a connected air outlet,and a discharge port on the side;the inflatable components are fitted together and can be detachably connected through a connecting structure.The connected air inlet of one inflatable component corresponds to the connected air outlet of adjacent inflatable components.This device is connected by multiple inflation components,which lower or raise the height of the airbag through inflation and deflation,adjust the pressure on various parts of the patient's body,and solve the problem of labor-intensive and heavy workload in nursing work;In addition,multiple inflatable components can be detachably connected to form an inflatable mattress.When in use,the number of inflatable component connections can be selected according to the specific needs of different patients or nursing areas.The device is easy to operate,flexible in combination,and suitable for timed flipping pressure reduction regulation in pressure ulcer high-risk areas under various postures.It has good clinical application value.

Turning to critical illness is a common stage of various diseases and injuries before death. Patients usually have complex health conditions, while the treatment process involves a wide range of content, along with high requirements for doctor′s professionalism and multi-specialty teamwork, as well as a great demand for time-sensitive treatments. However, this is not matched with critical care professionals and the current state of medical care in China. Telemedicine, which shortens the distance of medical professionals and the gap of disease diagnosis and treatments in various regions through electronic information, can effectively solve the current problem. Therefore, there is an urgent need to develop a standardized, high-quality visualization telemedicine round system .Therefore, experts have been organized to search domestic and foreign literature on telemedicine round for critically ill patients and to form this consensus based on clinical experiences so as to further improve the level of critical care treatments in regions.

The identification and optimization of mutations in nanobodies are crucial for enhancing their thera-peutic potential in disease prevention and control.However,this process is often complex and time-consuming,which limit its widespread application in practice.In this study,we developed a work-flow,named Evolutionary-Nanobody(EvoNB),to predict key mutation sites of nanobodies by combining protein language models(PLMs)and molecular dynamic(MD)simulations.By fine-tuning the ESM2 model on a large-scale nanobody dataset,the ability of EvoNB to capture specific sequence features of nanobodies was significantly enhanced.The fine-tuned EvoNB model demonstrated higher predictive accuracy in the conserved framework and highly variable complementarity-determining regions of nanobodies.Additionally,we selected four widely representative nanobody-antigen complexes to verify the predicted effects of mutations.MD simulations analyzed the energy changes caused by these mu-tations to predict their impact on binding affinity to the targets.The results showed that multiple mu-tations screened by EvoNB significantly enhanced the binding affinity between nanobody and its target,further validating the potential of this workflow for designing and optimizing nanobody mutations.Additionally,sequence-based predictions are generally less dependent on structural absence,allowing them to be more easily integrated with tools for structural predictions,such as AlphaFold 3.Through mutation prediction and systematic analysis of key sites,we can quickly predict the most promising variants for experimental validation without relying on traditional evolutionary or selection processes.The EvoNB workflow provides an effective tool for the rapid optimization of nanobodies and facilitates the application of PLMs in the biomedical field.

Objective To investigate the sputum metabolic profiles of patients with occupational coal workers' pneumoconiosis (CWP) by an untargeted metabolomics method, and to identify relevant differential metabolic pathways and potential biomarkers. Methods A total of 12 male patients with stage Ⅰ CWP were selected as the CWP group, and 16 healthy male individuals were selected as the control group, using a judgmental sampling method. Sputum metabolites of individuals in both groups were detected to perform non-targeted metabolomic analysis using the ultra-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry. Differential metabolites (DMs) and their pathways were screened using principal component analysis, partial least squares discriminant analysis, and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. Potential biomarkers were analyzed and identified via the receiver operating characteristic curve (ROC). Results There were apparent metabolic alterations observed in sputum of CWP patients compared with healthy controls. In the positive ion mode, a total of 42 DMs were identified in sputum from CWP patients, including 19 downregulated and 23 upregulated metabolites. In the negative ion mode, a total of 25 DMs were identified in sputum from CWP patients, including 16 downregulated and 9 upregulated metabolites. KEGG enrichment analysis of sputum from CWP patients showed that seven DMs pathways were enriched in ABC transporters, histidine metabolism, phenylalanine metabolism, arachidonic acid metabolism, linoleic acid metabolism, purine metabolism, and oxidative phosphorylation, involving 26 DMs. ROC analysis indicated that 16(R)-hydroxyarachidonic acid, pyrophosphate, and 2-hydroxyphenylacetate of these 26 DMs may serve as potential biomarkers for CWP. Conclusion Sputum metabolomic profiles were altered in CWP patients compared with healthy controls. The potential biomarkers of CWP prevention and treatment are 16(R)-hydroxyarachidonic acid, pyrophosphate, and 2-hydroxyphenylacetate.

[Objective] To validate and optimize the platelet transfusion refractoriness (PTR) prediction model for patients with hematological disorders established by our center. [Methods] The data of patients with hematological diseases who received platelet transfusions from December 2021 to December 2022 were used as the training set, and data from January 2023 to December 2023 as the validation set. The validation set data was used to validate the predictive model constructed on the training set. Relevant risk factors for PTR were collected through literature review and preliminary studies。 The patients were divided into effective and ineffective groups according to the corrected count increment (CCI) of platelet counts. Predictive factors were screened using univariate and multivariate logistic regression. The calibration of the model were assessed via calibration curves, while discrimination, accuracy, sensitivity, and specificity were evaluated using receiver operating characteristic (ROC) curves Clinical utility was further analyzed with decision curve analysis (DCA). [Results] The Hosmer-Lemeshow (H-L) goodness-of-fit test for the validation set yielded S: P=0.000, indicating that the original model needs optimization. Baseline comparisons and logistic regression identified the number of red blood cell units (RBCU) and platelet units (PLT-U) transfused as key predictors for the optimized model. The H-L goodness-of-fit test S: P values for the training and validation sets were 0.930 and 0.056, respectively; the ROC areas were 0.793 5 and 0.809 4, specificities 90.95% and 84.21%, sensitivities 59.26% and 70.04%, and accuracies 78.14% and 74.10%, respectively. DCA demonstrated clinical net benefit within a prediction probability threshold range of 0.2-0.8. [Conclusion] Transfusion volumes of RBC-U and PLT-U were inversely associated with PTR in hematological patients. The resulting PTR prediction model exhibits moderate predictive efficacy and clinical benefit.

BACKGROUND: T-cell lymphoblastic lymphoma/acute lymphoblastic leukemia (T-LBL/ALL) is an aggressive form of hematological malignancy associated with poor prognosis in adult patients. Histone deacetylases (HDACs) are aberrantly expressed in T-LBL/ALL and are considered potential therapeutic targets. Here, we investigated the antitumor effect of a novel HDAC inhibitor, chidamide, on T-LBL/ALL. METHODS: HDAC1, HDAC2 and HDAC3 levels in T-LBL/ALL cell lines and patient samples were compared with those in normal controls. Flow cytometry, transmission electron microscopy, and lactate dehydrogenase release assays were conducted in Jurkat and MOLT-4 cells to assess apoptosis and pyroptosis. A specific forkhead box O1 (FOXO1) inhibitor was used to rescue pyroptosis and upregulated gasdermin E (GSDME) expression caused by chidamide treatment. The role of the FOXO1 transcription factor was evaluated by dual-luciferase reporter and chromatin immunoprecipitation assays. The efficacy of chidamide in vivo was evaluated in a xenograft mouse. RESULTS: The expression of HDAC1, HDAC2 and HDAC3 was significantly upregulated in T-LBL/ALL. Cell viability was obviously inhibited after chidamide treatment. Pyroptosis, characterized by cell swelling, pore formation on the plasma membrane and lactate dehydrogenase leakage, was identified as a new mechanism of chidamide treatment. Chidamide triggered pyroptosis through caspase 3 activation and GSDME transcriptional upregulation. Chromatin immunoprecipitation assays confirmed that chidamide led to the increased transcription of GSDME through a more relaxed chromatin structure at the promoter and the upregulation of FOXO1 expression. Moreover, we identified the therapeutic effect of chidamide in vivo . CONCLUSIONS This study suggested that chidamide exerts an antitumor effect on T-LBL/ALL and promotes a more inflammatory form of cell death via the FOXO1/GSDME axis, which provides a novel choice of targeted therapy for patients with T-LBL/ALL.
Humans ; Pyroptosis/drug effects* ; Forkhead Box Protein O1/genetics* ; Aminopyridines/pharmacology* ; Animals ; Mice ; Benzamides/pharmacology* ; Cell Line, Tumor ; Precursor T-Cell Lymphoblastic Leukemia-Lymphoma/drug therapy* ; Phosphate-Binding Proteins/metabolism* ; Histone Deacetylase Inhibitors/pharmacology* ; Jurkat Cells ; Histone Deacetylases/metabolism* ; Apoptosis/drug effects* ; Gasdermins

Objective To explore the relationship of microRNA(miR)-155,miR-92a and miR-126 with in-stent restenosis(ISR)after percutaneous coronary intervention(PCI)in elderly patients with coronary heart disease(CHD).Methods A total of 118 elderly CHD patients receiving PCI in our hospital from January 2021 to June 2023 were enrolled,and according to whether ISR occurred by coronary angiography(CAG)at 1 year after surgery,they were divided into a stenosis group(45 cases)and a non-stenosis group(73 cases).Their baseline data,number of stent,stent diameter,medication,coronary artery lesion score,and serum expression levels of miR-155,miR-92a and miR-126 were compared between the two groups.The correlation of expression levels of the three miRNAs and clinical indicators was analyzed.Multivariate logistic regression analysis was performed to identify the risk factors of ISR in elderly CHD patients.ROC curve was adopted to analyze the diagnostic value of the three miRNAs for ISR in the elderly patients.Results Signifi-cantly higher BMI,SBP and DBP,and larger proportions of stent count ≥3 and stent diameter＜3 mm were observed in the stenosis group than the non-stenosis group(P＜0.05,P＜0.01).The expression levels of miR-155 and miR-126 were obviously lower,while that of miR-92a was nota-bly higher in the stenosis group than the non-stenosis group(P＜0.01).Pearson correlation analy-sis showed that miR-155 and miR-126 were negatively correlated with BMI,SBP,DBP,and stent count,and positively correlated with stent diameter(P＜0.01);miR-92a was positively correlated with BMI,SBP,DBP,and stent count,and negatively with stent diameter(P＜0.01).Multivariate logistic regression analysis suggested that stent count,stent diameter and miR-92a were risk fac-tors for ISR in elderly CHD patients after PCI,and miR-155 and miR-126 were protective factors(P＜0.05,P＜0.01).ROC curve analysis revealed that the AUC value of miR-155,miR-92a,and miR-126 alone and combined together was 0.742,0.778,0.751 and 0.853,respectively,with a sen-sitivity of 86.67％,71.11％,73.33％and 93.33％respectively,and the combined detection showed better diagnostic value for ISR than the single detection(P＜0.01).Conclusion Down-regulation of miR-155 and miR-126 and up-regulation of miR-92a may be involved in the occurrence of ISR in elderly CHD patients after PCI.Monitoring the three miRNAs is beneficial to auxiliary clinical prediction for ISR after PCI.