[Objective] To explore the temperature parameters affecting the polybrene test and determine the optimal temperature conditions for detecting unexpected antibodies of the Rh system. [Methods] The reaction of IgG human anti-D antibody with different dilutions (undiluted, 1∶2, 1∶4, 1∶8, 1∶16, 1∶32，1∶64) with D antigen-positive red blood cells was detected by manual polybrene test (MPT). Different temperatures (25℃ and 37℃) were set, and the reaction time with low ionic medium was 4 minutes. The agglutination integral value of anti-D and red cell depolymerization time were compared to observe the effect of enhanced agglutination reaction, thereby establishing the test temperature reaction conditions for enhancing the MPT. The same reaction condition was applied to 36 blood samples containing unexpected antibodies of the Rh system, and the effect of enhanced MPT was observed in comparison with the polybrene method and the antiglobulin test (column agglutination). [Results] With all other conditions held constant, when low ionic medium was added, the incubation temperature of 25℃ and 37℃ resulted in different total agglutination integral values for anti-D (20.9±2.025 vs 25.5±2.635), and the comparison showed a significant difference (P<0.05). When the antibody dilution was 1∶16, the incubation temperature of 25℃ and 37℃ resulted in different agglutination integral values (3.9±0.738 vs 5.8±0.632), and the comparison showed a significant difference (P<0.05). Erythrocyte depolymerization time (62.8±8.149 vs 90.1±10.713) was significantly different (P<0.05). At a dilution of 1∶32, the incubation temperatures of 25℃ and 37℃ resulted in different agglutination integral values (2.5±0.527 vs 4.3±0.675), as well as different red blood cell dissociation times (35.4±7.792 vs 57.4±10.885)(P<0.05), and the comparison showed a significant difference (P<0.05), with no differences observed in the other groups. In the detection of 36 Rh system unexpected antibody samples, when the antibody titer was ≤2, the enhanced polybrene method had a higher positive rate, and when the antibody titer was ≥4, the detection rates of the three methods were consistent. [Conclusion] The reference temperature condition for the modified MPT is incubation at 37℃ for 4 min after the addition of low ionic medium. The application of this temperature condition to unexpected antibody samples of Rh system could achieve a significant enhancement effect, thereby increasing transfusion safety for the treatment of emergency patients, and is worth popularizing.

Advancements in artificial intelligence (AI) and emerging technologies are rapidly expanding the exploration of chemical space, facilitating innovative drug discovery. However, the transformation of novel compounds into safe and effective drugs remains a lengthy, high-risk, and costly process. Comprehensive early-stage evaluation is essential for reducing costs and improving the success rate of drug development. Despite this need, no comprehensive tool currently supports systematic evaluation and efficient screening. Here, we present druglikeFilter, a deep learning-based framework designed to assess drug-likeness across four critical dimensions: 1) physicochemical rule evaluated by systematic determination, 2) toxicity alert investigated from multiple perspectives, 3) binding affinity measured by dual-path analysis, and 4) compound synthesizability assessed by retro-route prediction. By enabling automated, multidimensional filtering of compound libraries, druglikeFilter not only streamlines the drug development process but also plays a crucial role in advancing research efforts towards viable drug candidates, which can be freely accessed at https://idrblab.org/drugfilter/.

Hemoglobin, the principal protein in red blood cells, is crucial for oxygen transport in the bloodstream. The quantification of hemoglobin concentration is indispensable in medical diagnostics and health management, which encompass the diagnosis of anemia and the screening of various blood disorders. Immunological methods, based on antigen-antibody interactions, are distinguished by their high sensitivity and accuracy. Consequently, it is necessary to develop hemoglobin-specific antibodies characterized by high specificity and affinity to enhance detection accuracy. In this study, we immunized a Bactrian camel (Camelus bactrianus) with human hemoglobin and subsequently constructed a nanobody library. Utilizing a solid-phase screening method, we selected nanobodies and evaluated the binding activity of the screened nanobodies to hemoglobin. Initially, human hemoglobin was used to immunize a Bactrian camel. Following four immunization sessions, blood was withdrawn from the jugular vein, and a nanobody library with a capacity of 2.85×10⁸ colony forming units (CFU) was generated. Subsequently, ten hemoglobin-specific nanobody sequences were identified through three rounds of adsorption-elution-enrichment assays, and these nanobodies were subjected to eukaryotic expression. Finally, enzyme-linked immunosorbent assay and biolayer interferometry were employed to evaluate the stability, binding activity, and specificity of these nanobodies. The results demonstrated that the nanobodies maintained robust binding activity within the temperature range of 20-40 ℃ and exhibited the highest binding activity at pH 7.0. Furthermore, the nanobodies were capable of tolerating a 10% methanol solution. Notably, among the nanobodies tested, VHH-12 displayed the highest binding activity to hemoglobin, with a half maximal effective concentration (EC₅₀) of 10.63 nmol/L and a equilibrium dissociation constant (K_D) of 2.94×10^-7 mol/L. VHH-12 exhibited no cross-reactivity with a panel of eight proteins, such as ovalbumin and bovine serum albumin, while demonstrating partial cross-reactivity with hemoglobin derived from porcine, goat, rabbit, and bovine sources. In this study, a hemoglobin-specific high-affinity nanobody was successfully isolated, demonstrating potential applications in disease diagnosis and health monitoring.
Animals ; Camelus/immunology* ; Single-Domain Antibodies/immunology* ; Hemoglobins/immunology* ; Humans ; Peptide Library

Objective To explore the effect of task-oriented training of intelligent mirror gloves combined with low-frequency repeti-tive transcranial magnetic stimulation(rTMS)on hand function recovery in stroke patients. Methods From October 1st,2022 to June 30th,2023,136 stroke patients in Northern Jiangsu People's Hospital were ran-domly divided into control group,mirror group,rTMS group and combination group,with 34 patients in each group.All the groups received routine rehabilitation treatment.In addition,the mirror group received task-orient-ed training of intelligent mirror gloves,rTMS group received low-frequency rTMS,and the combination group received task-oriented training combined with low-frequency rTMS,for four weeks.The Fugl-Meyer Assess-ment-Upper Extremities(FMA-UE)score,Wolf Motor Function Test(WMFT)score,and surface electromyo-graphic root mean square(RMS)of forearm extensor and flexor muscle groups on the affected/healthy side be-fore and after treatment were compared.And the differences of transcranial magnetic stimulation-motor-evoked potentials(MEP)between rTMS group and combination group before and after treatment were also compared. Results Four cases in the control group,seven in the mirror group,five in rTMS group and six in the combination group dropped off.The intra-group effect(F>996.656,P<0.001),inter-group effect(F>20.333,P<0.001)and inter-action effect(F>72.796,P<0.001)were significant in the scores of FMA-UE and WMFT,and the RMS ratio of forearm extensor and flexor muscle groups among four groups,in which the combination group was the best.After treatment,the amplitude of MEP increased in rTMS group and combination group(|t|>3.842,P<0.05),and was higher in the combination group than in rTMS group(t=-3.060,P<0.01). Conclusion The task-oriented training of intelligent mirror gloves combined with low-frequency rTMS could effectively promote the recovery of hand function in stroke patients.

Objective To explore the current research status and frontier hotspot of task-state functional magnetic resonance imaging(fMRI)based on language task in the field of neuropsychiatric diseases. Methods Literature about the application of task-state fMRI based on language task in neuropsychiatric disorders was re-trieved from CNKI,VIP and Web of Science Core Collection databases up to November 12nd,2023.The includ-ed literature was analyzed using CiteSpace and VOSviewer. Results A total of 91 literatures were included.The researches about application of task-state fMRI based on language task in the field of neuropsychiatric disorders were reported since 2002,and developed uniformly;particularly for the diagnosis and treatment of stroke,brain tumors,epilepsy,schizophrenia and other neuropsychiatric disorders,as well as in studies of brain functional connectivity.Research hotspots included mechanisms of aphasia recov-ery,brain functional changes,functional connectivity and language laterality.Journals of psychology,education and sociology played the core role,disciplines such as neurology also contributed to the advancement of this tech-nology. Conclusion Task-state fMRI based on language task demonstrates significant potential in elucidating the mechanisms of how the brain processes language in neuropsychiatric disorders.

Background::The Global Leadership Initiative on Malnutrition (GLIM) criteria were published to build a global consensus on nutritional diagnosis. Reduced muscle mass is a phenotypic criterion with strong evidence to support its inclusion in the GLIM consensus criteria. However, there is no consensus regarding how to accurately measure and define reduced muscle mass in clinical settings. This study aimed to investigate the optimal reference values of skeletal muscle mass index for diagnosing sarcopenia and GLIM-defined malnutrition, as well as the prevalence of GLIM-defined malnutrition in hospitalized cirrhotic patients.Methods::This retrospective study was conducted on 1002 adult patients with liver cirrhosis between January 1, 2018, and February 28, 2022, at Beijing You-An Hospital, Capital Medical University. Adult patients with a clinical diagnosis of liver cirrhosis and who underwent an abdominal computed tomography (CT) examination during hospitalization were included in the study. These patients were randomly divided into a modeling group (cohort 1, 667 patients) and a validation group (cohort 2, 335 patients). In cohort 1, optimal cut-off values of skeletal muscle index at the third lumbar skeletal muscle index (L3-SMI) were determined using receiver operating characteristic analyses against in-hospital mortality in different gender groups. Next, patients in cohort 2 were screened for nutritional risk using the Nutritional Risk Screening 2002 (NRS-2002), and malnutrition was diagnosed by GLIM criteria. Additionally, the reference values of reduced muscle mass in GLIM criteria were derived from the L3-SMI values from cohort 1. Multivariate logistic regression analysis was used to analyze the association between GLIM-defined malnutrition and clinical outcomes.Results::The optimal cut-off values of L3-SMI were 39.50 cm 2/m 2 for male patients and 33.06 cm 2/m 2 for female patients. Based on the cut-off values, 31.63% (68/215) of the male patients and 23.3% (28/120) of the female patients had CT-determined sarcopenia in cohort 2. The prevalence of GLIM-defined malnutrition in cirrhotic patients was 34.3% (115/335) and GLIM-defined malnutrition was an independent risk factor for in-hospital mortality in patients with liver cirrhosis ( Wald = 6.347, P = 0.012). Conclusions::This study provided reference values for skeletal muscle mass index and the prevalence of GLIM-defined malnutrition in hospitalized patients with liver cirrhosis. These reference values will contribute to applying the GLIM criteria in cirrhotic patients.

The etiology of pneumoconiosis is relatively clear, but the pathogenic mechanism is not fully understood, and there is no effective cure for pneumoconiosis. Clarifying the pathogenesis of pneumoconiosis and exploring relevant markers can help screen high-risk groups of dust exposure, and relevant markers can also be used as targets to intervene in the process of pulmonary fibrosis. The in-depth development of genomics, transcriptomics and proteomics has provided a new way to discover more potential markers of pneumoconiosis. In the future, the combination of multi-omics and multi-stage interactive analysis can systematically and comprehensively identify key genes (proteins) , metabolites and metabolic pathways in the occurrence and development of pneumoconiosis, build a core regulatory network, and then screen out sensitive markers related to early diagnosis and treatment of pneumoconiosis. This article summarizes the research progress of pneumoconiosis markers from the perspective of multi-omics, hoping to provide more basic data for the early prevention and diagnosis of pneumoconiosis, pathogenesis research, and therapeutic intervention.

Temporomandibular joint (TMJ) diseases are common clinical conditions. The number of patients with TMJ diseases is large, and the etiology, epidemiology, disease spectrum, and treatment of the disease remain controversial and unknown. To understand and master the current situation of the occurrence, development and prevention of TMJ diseases, as well as to identify the patterns in etiology, incidence, drug sensitivity, and prognosis is crucial for alleviating patients′suffering.This will facilitate in-depth medical research, effective disease prevention measures, and the formulation of corresponding health policies. Cohort construction and research has an irreplaceable role in precise disease prevention and significant improvement in diagnosis and treatment levels. Large-scale cohort studies are needed to explore the relationship between potential risk factors and outcomes of TMJ diseases, and to observe disease prognoses through long-term follw-ups. The consensus aims to establish a standard conceptual frame work for a cohort study on patients with TMJ disease while providing ideas for cohort data standards to this condition. TMJ disease cohort data consists of both common data standards applicable to all specific disease cohorts as well as disease-specific data standards. Common data were available for each specific disease cohort. By integrating different cohort research resources, standard problems or study variables can be unified. Long-term follow-up can be performed using consistent definitions and criteria across different projects for better core data collection. It is hoped that this consensus will be facilitate the development cohort studies of TMJ diseases.

The etiology of pneumoconiosis is relatively clear, but the pathogenic mechanism is not fully understood, and there is no effective cure for pneumoconiosis. Clarifying the pathogenesis of pneumoconiosis and exploring relevant markers can help screen high-risk groups of dust exposure, and relevant markers can also be used as targets to intervene in the process of pulmonary fibrosis. The in-depth development of genomics, transcriptomics and proteomics has provided a new way to discover more potential markers of pneumoconiosis. In the future, the combination of multi-omics and multi-stage interactive analysis can systematically and comprehensively identify key genes (proteins) , metabolites and metabolic pathways in the occurrence and development of pneumoconiosis, build a core regulatory network, and then screen out sensitive markers related to early diagnosis and treatment of pneumoconiosis. This article summarizes the research progress of pneumoconiosis markers from the perspective of multi-omics, hoping to provide more basic data for the early prevention and diagnosis of pneumoconiosis, pathogenesis research, and therapeutic intervention.

Objective:To find out how newly recruited nurses feel about the use of scenario simulation teaching in communication skill training, and to provide references and lessons for improving and perfecting the training of newly recruited nurses.Methods:Purposive sampling method was used to select 10 nurses who were newly recruited to a tertiary grade A hospital in Shanghai in July 2023 for semi-structured interviews. Colaizzi's 7-step analysis method was used to collate and analyze the data and develop themes.Results:Three themes were extracted from the feelings of newly recruited nurses about scenario simulation teaching, which were the improvement of learning ability, the cultivation of clinical comprehensive ability, and the improvement of communication and teamwork ability.Conclusions:Scenario simulation teaching can improve the clinical communication ability of newly recruited nurses and enhance their learning ability and comprehensive clinical ability. This study designed a scenario simulation teaching program oriented and targeted to highlight communication ability, which further proved its positive significance. However, attention needs to be paid to the construction of clinical teaching team, evaluation system, and feedback mechanism for targeted improvement to enhance the teaching effect.