Immune thrombocytopenia (ITP) is a hemorrhagic autoimmune disease characterized by antibody-mediated platelet injury. ITP has complicated immunopathological mechanisms that need further elucidation. It is well known that the costimulatory molecules OX40 ligand (OX40L) and OX40 play essential roles in the immunological mechanisms of autoimmune diseases. Previously, we discovered that the expression of OX40L and OX40 is significantly increased in the peripheral blood mononuclear cells (PBMCs) of ITP patients. In our present study, OX40L-induced follicular helper T (Tfh) cells exhibited an activated phenotype with elevated expression of inducible T-cell costimulator (ICOS), programmed cell death protein-1 (PD-1), and cluster of differentiation 40 ligand (CD40L) in vitro. Moreover, aberrant OX40L‒OX40 expression might promote the Tfh1-to-Tfh2 shift in vivo, inducing the generation of autoantibodies by enhancing the helper function of Tfh cells for B lymphocytes in a mouse model, which might accelerate the progression of ITP. Additionally, signal transduction through the OX40L‒OX40 axis might be related to the activation of tumor necrosis factor receptor-associated factor (TRAF)‒nuclear factor-κB (NF-κB) and Janus kinase (JAK)‒signal transducer and activator of transcription (STAT) signaling pathways. Overall, OX40L‒OX40 signaling is proposed as a potential novel therapeutic target for ITP.
Animals ; OX40 Ligand/physiology* ; Purpura, Thrombocytopenic, Idiopathic/immunology* ; Cell Differentiation ; Mice ; T-Lymphocytes, Helper-Inducer/cytology* ; T Follicular Helper Cells/cytology* ; Signal Transduction ; Receptors, OX40 ; Mice, Inbred C57BL ; Humans ; Female

Temporal interference (TI) is a form of stimulation that epitomizes an innovative and non-invasive approach for profound neuromodulation of the brain, a technique that has been validated in mice. Yet, the thin cranial bone structure of mice has a marginal influence on the effect of the TI technique and may not effectively showcase its effectiveness in larger animals. Based on this, we carried out TI stimulation experiments on rats. Following the TI intervention, analysis of electrophysiological data and immunofluorescence staining indicated the generation of a stimulation focus within the nucleus accumbens (depth, 8.5 mm) in rats. Our findings affirm the viability of the TI methodology in the presence of thick cranial bones, furnishing efficacious parameters for profound stimulation with TI administered under such conditions. This experiment not only sheds light on the intervention effects of TI deep in the brain but also furnishes robust evidence in support of its prospective clinical utility.
Animals ; Deep Brain Stimulation/methods* ; Nucleus Accumbens/physiology* ; Male ; Rats ; Rats, Sprague-Dawley ; Time Factors

OBJECTIVES: This study aims to investigate factors influencing dental arch development in patients aged 0-6 years with cleft palate after Sommerlad-Furlow (SF) palatoplasty. METHODS: A total of 183 patients who underwent primary SF repair for cleft lip and palate before 18 months of age were included. Follow-ups were conducted at different ages, and digital dental casts of the maxillary dental arch were obtained using 3-matic Research 12.0 software. The length and width of the dental arch and palate were measured to explore developmental changes in the maxillary dental arch of the patients after the procedure. The study also investigated the influence of gender, age, cleft palate type, and relaxation incision on maxillary dental arch development. RESULTS: After SF, maxillary dental arch measurements showed statistically significant differences between children aged 0-2 years and those aged 3-6 years (P<0.05). However, no statistically significant differences were observed among different age groups within the 3-6 years range. Statistically significant differences were detected between males and females, with males having greater width of the posterior dental arch and palate (P=0.001) and shorter length of the anterior dental arch and entire dental arch (P<0.05). The unilateral cleft lip and palate group had shorter dental arch length (P<0.01) and wider posterior palate (P<0.01) than the cleft palate only group. Maxillary dental arch measurements had no statistically significant differences between groups with or without a relaxing incision. CONCLUSIONS Gender and age influence the width of the maxillary dental arch in children aged 0-6 years after SF, while age and cleft palate type affect dental arch length.
Humans ; Child, Preschool ; Male ; Cleft Palate/surgery* ; Female ; Child ; Infant ; Dental Arch/growth & development* ; Maxilla/growth & development* ; Cleft Lip/surgery* ; Age Factors ; Sex Factors ; Palate/surgery* ; Infant, Newborn

Based on the viewpoints of turbidity and toxin and years of clinical experience,professor Wei Aisheng proposed that spleen qi deficiency leading to internal retention of turbidity and toxin contributes to the key pathogenesis of patients with type 2 diabetes mellitus(T2DM)characterized by obesity or metabolic disorders.For T2DM patients with obesity or metabolic disorders in the middle and end stages,long-term retention of turbidity and toxin leads to unsmooth qi movement of triple energizer and damage of viscera.Therefore,Professor Wei put forward the viewpoint of cutting off the toxin in the early stage,and established the therapy of replenishing qi,respectively expelling pathogens and eliminating turbidity from triple energizer.Professor Wei formulated Sanhuang Yinchen Wuling San as the primary prescription for T2DM.The prescription is derived from the classical formula Yinchen Wuling San with the herbs of Astragali Radix,Coptidis Rhizoma and Ephedrae Herba added,having the actions of replenishing qi and supporting healthy qi,respectively expelling pathogens from triple-energizer to resolve phlegm-damp and stagnated heat.The application of Sanhuang Yinchen Wuling San for T2DM can invigorate spleen qi,smooth qi movement of triple energizer,and eliminate turbidity and toxin,and enhance the efficacy for T2DM.

Objective To investigate the efficacy of Lishui Xiaozhong Granules combined with Conbercept for the treatment of diabetic macular edema(DME).Methods From December 2022 to June 2023,46 patients(46 eyes)with DME of spleen and kidney yang deficiency complicated with blood-stasis obstructing the eye collaterals syndrome admitted to Foshan Hospital of Traditional Chinese Medicine were selected as the study objects.According to the principle of single-blind randomized controlled trial,the patients were randomly divided into treatment group and control group by random number table method,with 23 cases(23 eyes)in each group.The control group was treated with intravitreal injection of Conbercept,and the treatment group was treated with oral use of Lishui Xiaozhong Granules on the basis of treatment for the control group.The course of treatment lasted 3 months and then a follow-up for 6 months was conducted.Before and after treatment,the two groups were observed int the changes of traditional Chinese medicine(TCM)syndrome score,best corrected visual acuity(BCVA,LogMAR),central macular thickness(CMT),mean vessel density(VD)of superficial capillary plexus(SCP)and deep capillary plexus(DCP)in macular area,and the amplitude density and the latency of P1 and N1 wave in the R1 ring of multifocal electroretinogram(mf-ERG).Results(1)After 1,3 and 6 month(s)of treatment,BVCA in the two groups was improved when compared with that at the previous observation time point(P＜0.05),and the improvement in the treatment group was superior to that in the control group after 1,3 and 6 month(s)of treatment(P＜0.01).(2)After 1,3 and 6 month(s)of treatment,the CMT of the two groups was lowered as compared with that at the previous observation time point(P＜0.05),and the decrease in the treatment group was significantly superior to that in the control group(P＜0.01).(3)After 6 months of treatment,SCP-VD and DCP-VD in the two groups showed no obvious changes when compared with those before treatment(P＞0.05),the differences between the two groups after treatment were no statistically significant,either(P＞0.05).(4)After 1,3 and 6 month(s)of treatment,the amplitude densities of P1 wave and N1 wave in the R1 ring of mf-ERG in the two groups were increased when compared with those at the previous observation time point(P＜0.05),and the latency of P1 wave and N1 wave was shortened when compared with that at the previous observation time point(P＜0.05),and the treatment group had stronger effect on increasing the amplitude densities and on shortening the latency than the control group(P＜0.01).(5)After 6 months of treatment,the scores of TCM syndromes in the treatment group were lowered(P＜0.05)while the scores in the control group showed no obvious changes as compared with those before treatment.The intergroup comparison showed that the decrease of TCM syndrome score in the treatment group was significantly superior to that in the control group(P＜0.01).Conclusion In the treatment of DME with spleen and kidney yang deficiency complicated with blood-stasis obstructing the eye collaterals syndrome,Lishui Xiaozhong Granules combined with Conbercept have no influence on improving the SCP-VD and DCP-VD,but the combined therapy exerts satisfactory efficacy on increasing BCVA and on improving macular oedema,retinal function in the macular area and systemic symptoms.

ObjectiveTo provide more basic information of comparative medicine for the study of biological changes and pathogenesis of COVID-19 by systematical sorting and analyzing the transcriptome data.MethodsFollowing a retrieval strategy, using COVID-19 and SARS-CoV-2 as key words, transcriptome datasets related to COVID-19 from January 2020 to May 2023 were collected from GEO, ArrayExpress and GEN Transcriptome databases. The composition, distribution, and research application of COVID-19 transcriptome data resources were analyzed. Data distribution was visually displayed and correlation analysis was performed. The research applications and limitations of existing COVID-19 transcriptome data were analyzed from the perspectives of clinical medicine and comparative medicine, focusing on clinical-related molecular mechanisms, biomarkers and related immune responses, treatment intervention strategies, etc. The research value and application prospects were discussed.Results A total of 975 sets of COVID-19 transcriptome data were included. Among three databases, datasets from humans accounted for the highest proportion, namely 71.9%, 77.9%, and 90%, respectively. Species other than humans, such as mice, were the main sources of data, with the respiratory and nervous systems having the highest distribution of data. Twenty-seven datasets were associated with clinical significance. Analysis revealed that respiratory tract injury and other related molecular mechanisms were obtained through transcriptome data mining. Biomarkers such as cfDNA could be used as therapeutic targets. The severity of COVID-19 infection was associated with cell changes and disorders represented by M1 macrophages. Comparative medical analysis showed that mice, hamsters, and other animals were susceptible to SARS-CoV-2. Rhesus monkeys and cynomolgus monkeys exhibited infection characteristics highly similar to human. Apart from respiratory symptoms, hamsters also exhibited digestive system symptoms. SARS-CoV-2 can replicate in the respiratory organs of various susceptible animals, the intestines of ferrets and the ears of minks, resulting in interstitial pneumonia, diffuse lung injury and other pathological changes of varying degrees. Based on the differences in immune responses, hamsters can be used for neutralizing antibody reaction research.Conclusion Currently there is a wealth of COVID-19 transcriptome data, but there is a lack of comparative transcriptome research. Transcriptomics can be combined with comparative medicine to further explore the differences in comparative medicine of COVID-19.

Objective To compare the diagnostic performance of a multi-marker panel(copeptin,cardiac troponin T[cTnT],and heart-type fatty acid-binding protein[HFABP])with the single marker cTnT in the diagnosis of type 4a acute myocardial infarction(AMI),and explore the application value of combined detectionmodel with the multiple markers.Methods The enrolled non-AMI pa-tients underwent elective percutaneous coronary intervention(PCI)at Nanjing Medical University First Affiliated Hospital during the period from March to December 2022 and were assessed as postoperative elevation of cTnT above the 99th percentile upper reference limit(URL).According to the Fourth Universal Definition of Myocardial Infarction,the patients were divided into non-type 4a AMI group and type 4a AMI group based on whether type 4a AMI occurred after surgery.The concentrations of AMI biomarkers were meas-ured using a chemiluminescent immuno-gold nanoassembly immunosensor array(chemiluminescent immuno-Gold,ciGold).Receiver operating characteristic(ROC)curves were used to analyze the performance of the diagnostic models with single and combined cardiac biomarkers.The sensitivity and specificity were also obtained from the ROC curves,and the area under the ROC curve(AUCROC)was calculated to evaluate respective diagnostic value.Kappa analysis was used to assess the consistency between the results combined de-tection model of multiple biomarkers and the diagnosis based on the Fourth Universal Definition of Myocardial Infarction.Results In this study,a total of 65 patients were included in whom females accounted for 23.1％.The ROC curve indicated that the combined de-tection model of multiple cardiac biomarkers showed specificity of 96.5％,sensitivity of 92.3％,agreement rate of 94.6％,positive pre-dictive value of 92.3％,negative predictive value of 96.2％,and AUCROC of 0.979.The single cTnT diagnostic model showed specificity of 94.2％,sensitivity of 100％,agreement rate of 95.7％,positive predictive value of 100％,negative predictive value of 94.9％,and AUCROC of 0.987.Although the combined detection model of multiple biomarkers had lower sensitivity(P=0.011),it showed higher specificity(P=0.016).The analysis of AUCROC differences between the two diagnostic models showed P＞0.05,indicating no signifi-cantly statistical difference for the diagnostic accuracy.Kappa analysis demonstrated a strong consistency between the combined detec-tion model of multiple cardiac biomarkers and the diagnosis of type 4a AMI based on the Fourth Universal Definition of Myocardial In-farction with a Cohen's Kappa coefficient of 0.818.Conclusion The multi-marker combined detection model showed similar perform-ance of cTnT in diagnos of type 4a AMI with strong diagnostic consistency.However,the combined detection model exhibited an advan-tage of higher specificity.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

Objective To analyze the evaluation results of health enterprises in Beijing City and their influencing factors. Methods A total of 40 enterprises that passed the health enterprise evaluation in Beijing from 2021 to 2022 were selected as the study subjects using the judgment sampling method. The total evaluation scores and influencing factors were analyzed based on the size, nature, industry classification, and establishment time of the enterprises. Results The total evaluation score of the 40 health enterprises was (553.1±18.4) points. Scores for the primary evaluation indicators, including management organization and system, occupational disease prevention measures, health environment, health promotion measures, prevention measures for occupational stress caused damage, and musculoskeletal injury prevention measures, were (94.0±4.8), (94.0±4.3), (94.5±3.8), (89.7±4.8), (89.6±4.6), and (91.4±5.9) points, respectively. The result of multiple linear regression analysis showed that, large enterprises had higher total evaluation scores than medium enterprises and micro and small enterprises after controlling for confounding factors such as industry classification and establishment time (all P<0.10). The total evaluation scores of private enterprises and foreign-funded enterprises were lower than that of state-owned or state-participated enterprises (all P<0.10). Conclusion Enterprise size and nature are influencing factors for the total evaluation score of health enterprises. It is necessary to enhance resource and policy support for medium-sized, micro and small enterprises and private enterprises to improve the development of the health enterprises.

Objective This study analyzes the omics data resources in human-infecting coronavirus animal models collected from various public databases,focusing on data distribution,dataset quantity,data types,species,strains,and research content.It aims to enhance our understanding of biological characteristics and pathogenic mechanisms of coronaviruses,thereby providing a solid foundation for devising effective therapeutic strategies and preventive measures.Methods Query strategies,including specific virus names,time ranges,and inclusion and exclusion criteria,were defined to retrieve data from major public omics databases such as GEO and ArrayExpress.Secondary filtering was performed based on different field types to obtain a more accurate data list.An omics data text database was established for bibliometric analysis.Co-occurrence networks were constructed for the analysis of the correlation strengths between different research themes,technical methods,and involved species.The cell types,organs,and biological pathways involved in studies were examined to further elucidate the pathogenic interplay between pathogens and hosts.Results About twenty public databases containing coronavirus-related omics data were identified,with a primary focus on novel coronavirus infection.Commonly used species include humans,mice,hamsters,and monkeys,while the commonly used virus strains are Wuhan-Hu-1 and USA-WA1/2020.Lung tissues are primarily used in animal models such as mice,macaques,and ferrets,while airway epithelial cells and Calu-3 cells are predominantly employed in human-related studies.Expression profiling data indicate that gene pathways involved in inflammation,cytokine response,complement pathway,cell damage,proliferation,and differentiation are significantly upregulated after infection.Proteomics studies reveal significant changes in phosphoproteome,ubiquitinome,and total proteome of patient samples at different infection stages.Specific protein categories,including viral receptors and proteases,transcription factors,cytokines,proteins associated with coagulation system,angiogenesis-related proteins,and fibrosis markers,show alterations after coronavirus infection.In addition,metabolomics data suggest that phosphocholine,phosphoethanolamine,arachidonic acid,and oleic acid could serve as potential metabolic markers.Epigenomics research indicates m6A methylation plays a role in SARS-CoV-2 replication,infection,and transmission,affecting host cell-virus interactions.Among these,N,S,and non-structural proteins 2 and 3 exhibit the most significant ubiquitination.Trends in microbiomics research suggest that microbial communities in the gut and wastewater are emerging as new research focuses.Conclusion The data types of coronavirus omics are diverse,with a wide variety of models and cell types used.The selection of species and technical methods for modelling varies based on the characteristics of different viruses.Multi-omics data from animal models of coronavirus infection can reveal key interactions between hosts and pathogens,identifying biomarkers and potential therapeutic targets,and provide valuable information for a deeper understanding of biological characteristics and infection mechanisms of coronaviruses.