The innate immune system can be boosted in response to subsequent triggers by pre-exposure to microbes or microbial products, known as “trained immunity”. Compared to classical immune memory, innate trained immunity has several different features. Firstly, the molecules involved in trained immunity differ from those involved in classical immune memory. Innate trained immunity mainly involves innate immune cells (e.g., myeloid immune cells, natural killer cells, innate lymphoid cells) and their effector molecules (e.g., pattern recognition receptor (PRR), various cytokines), as well as some kinds of non-immune cells (e.g., microglial cells). Secondly, the increased responsiveness to secondary stimuli during innate trained immunity is not specific to a particular pathogen, but influences epigenetic reprogramming in the cell through signaling pathways, leading to the sustained changes in genes transcriptional process, which ultimately affects cellular physiology without permanent genetic changes (e.g., mutations or recombination). Finally, innate trained immunity relies on an altered functional state of innate immune cells that could persist for weeks to months after initial stimulus removal. An appropriate inducer could induce trained immunity in innate lymphocytes, such as exogenous stimulants (including vaccines) and endogenous stimulants, which was firstly discovered in bone marrow derived immune cells. However, mature bone marrow derived immune cells are short-lived cells, that may not be able to transmit memory phenotypes to their offspring and provide long-term protection. Therefore, trained immunity is more likely to be relied on long-lived cells, such as epithelial stem cells, mesenchymal stromal cells and non-immune cells such as fibroblasts. Epigenetic reprogramming is one of the key molecular mechanisms that induces trained immunity, including DNA modifications, non-coding RNAs, histone modifications and chromatin remodeling. In addition to epigenetic reprogramming, different cellular metabolic pathways are involved in the regulation of innate trained immunity, including aerobic glycolysis, glutamine catabolism, cholesterol metabolism and fatty acid synthesis, through a series of intracellular cascade responses triggered by the recognition of PRR specific ligands. In the view of evolutionary, trained immunity is beneficial in enhancing protection against secondary infections with an induction in the evolutionary protective process against infections. Therefore, innate trained immunity plays an important role in therapy against diseases such as tumors and infections, which has signature therapeutic effects in these diseases. In organ transplantation, trained immunity has been associated with acute rejection, which prolongs the survival of allografts. However, trained immunity is not always protective but pathological in some cases, and dysregulated trained immunity contributes to the development of inflammatory and autoimmune diseases. Trained immunity provides a novel form of immune memory, but when inappropriately activated, may lead to an attack on tissues, causing autoinflammation. In autoimmune diseases such as rheumatoid arthritis and atherosclerosis, trained immunity may lead to enhance inflammation and tissue lesion in diseased regions. In Alzheimer’s disease and Parkinson’s disease, trained immunity may lead to over-activation of microglial cells, triggering neuroinflammation even nerve injury. This paper summarizes the basis and mechanisms of innate trained immunity, including the different cell types involved, the impacts on diseases and the effects as a therapeutic strategy to provide novel ideas for different diseases.

[Objective] To study the relationship between the expression intensity of HLA-Ⅰ platelet antibodies in patients with platelet transfusion refractoriness (PTR) and platelet cross-matching, and to further evaluate other factors in order to provide relevant data support for improving platelet transfusion efficiency and optimizing platelet transfusion regimens. [Methods] Luminex single antigen flow cytometry was used to detect platelet specific antibodies in 35 patients with hematological disease. Subsequently, the Capture-P method was employed to perform 102 crossmatchings between plasma with HLA-Ⅰ antibodies and platelets with known HLA-Ⅰ genotypes. The cross-matching results were assessed and the clinical transfusion outcomes were tracked. [Results] The positive detection rate of HLA-Ⅰ and HPA antibodies in this study was 48.6% (17/35). The negative rate of cross-matching in 102 cases was 37.3% (38/102). Multiple factors affect platelet cross-matching, such as HLA-Ⅰ antibody expression level and antibody type, antigen expression level, cross-reactivity group and eplets. Among them, the expression level and antibody type of HLA-Ⅰ antibody are the main influencing factors. However, the effectiveness of clinical platelet transfusion is not completely determined by the compatibility of platelet cross-matching. [Conclusion] In addition to avoiding strong positive HLA-Ⅰ antibodies, clinical matching should also be vigilant against the serological cross-incompatibility caused by weak positive HLA-Ⅰ antibodies. It may be necessary to establish HLA-Ⅰ low expression antigen database as a better alternative platelet donor selection strategy, and gradually explore the effectiveness of ‘low expression mismatch’ strategy for clinical platelet transfusion.

Objective To construct large medical model named by "Huaxi HongYi"and explore its application effectiveness in assisting medical record generation. Methods By the way of a full-chain medical large model construction paradigm of "data annotation - model training - scenario incubation", through strategies such as multimodal data fusion, domain adaptation training, and localization of hardware adaptation, "Huaxi HongYi" with 72 billion parameters was constructed. Combined with technologies such as speech recognition, knowledge graphs, and reinforcement learning, an application system for assisting in the generation of medical records was developed. Results Taking the assisted generation of discharge records as an example, in the pilot department, after using the application system, the average completion times of writing a medical records shortened (21 min vs. 5 min) with efficiency increased by 3.2 time, the accuracy rate of the model output reached 92.4%. Conclusion It is feasible for medical institutions to build independently controllable medical large models and incubate various applications based on these models, providing a reference pathway for artificial intelligence development in similar institutions.

This study constructed a LHCGR-CRE-luc-HEK293 transgenic cell line according to the activation of the cAMP signaling pathway after recombinant human chorionic gonadotropin binding to the receptor. The biological activity of recombinant human chorionic gonadotropin was assayed using a luciferase assay system. The relative potency of the samples was calculated using four-parameter model. And the method conditions were optimized to validate the specificity, relative accuracy, precision and linearity of the method. The results showed that there was a quantitative potency relationship of human chorinonic gonadotropin (hCG) in the method and it was in accordance with the four-parameter curve. After optimization, the conditions were determined as hCG dilution concentration of 2.5 μg·mL^-1, dilution ratio of 1∶4, cell number of 10 000-15 000 cells/well, and induction time of 6 h. The method had good specificity, relative accuracy with relative bias ranging from -8.9% to 3.4%, linear regression equation correlation coefficient of 0.996, intermediate precision geometric coefficient of variation ranging from 3.3% to 15.0%, and linearity range of 50% to 200%. This study successfully established and validated a reporter gene method to detect hCG biological activity, which can be used for hCG biological activity assay and quality control.

As color doppler ultrasound listed as the thyroid to regular physical examination project, the positive detection rate of benign and malignant thyroid diseases has increased year by year. The population of patients after thyroid surgery is getting larger and larger, however, the research on how to replace the absent thyroid with exogenous thyroid hormone is not perfect. As the switch of thyroid hormone activation and deactivation, deiodinase plays an important role in maintaining the internal environment of human body. The expression of these enzymes will change with the different needs of each organ in the individual. In the past, many authors have made a detailed description of deiodinase in basic medicine, but the principle of action in clinical aspects is relatively lacking. In this paper, the mechanism of deiodinase was reviewed through literature reading, to explore the basic principle of deiodinase in exogenous thyroid hormone supplementation after thyroid surgery.

Objective To analyze the atrioventricular synchronization rate after implantation of Micra AV leadless pacemaker,and the impact of postoperative programming optimization on atrioventricular synchronization rate.Methods A prospective cohort study was conducted to select patients with complete atrioventricular block who underwent Micra AV leadless pacemaker implantation at Beijing Anzhen Hospital from August 2022 to June 2023.Programming optimization were performed at 1 week,1 month,and 3 months postoperatively,and atrioventricular synchronization rate,electrical parameters,and echocardiography were recorded.Results A total of 68 patients with complete atrioventricular block implanted with Micra AV were selected,with an average age of(68.2±9.7)years,including 47 males(69.1％).All patients were successfully implanted with Micra AV,and there were no serious postoperative complications;The average threshold,sense,and impedance parameters were stable during 1 week,1 month,and 3 months after the procedure;There was no significant difference in the EF value of postoperative echocardiography(P=0.162);The average atrioventricular synchronization rates at 1 week,1 month,and 3 months postoperatively were(75.2％vs.83.8％vs.91.6％,P=0.001).Conclusions As an mechanical atrial sensing,Micra AV requires personalized adjustment of relevant parameters;Postoperative follow-up programming optimization plays an important role in the atrioventricular synchronization and comfort level in patients with complete atrioventricular block after implantation of Micra AV leadless pacemaker.

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.

This paper reported the clinical characteristics, diagnosis, and treatment of a case of recurrent endometrial stromal sarcoma with term pregnancy. The patient had undergone laparoscopic surgery to remove hysteromyoma before conception in 2017, which was pathologically diagnosed as low-grade endometrial stromal sarcoma after surgery. Due to her strong reproductive willingness, the patient attempted to conceive in light of her stable condition and no evidence of recurrence and was closely followed up with an informed choice. She conceived successfully in 2020 and underwent regular pregnancy examinations. Ultrasound examination at 37 +4 weeks of gestation revealed a slightly hypoechoic mass of about 6.3 cm×4.5 cm size in the pelvic cavity. After admission, a pelvic MRI indicated multiple solid nodules in the right adnexa uteri and beside the iliac vessels in the left pelvic wall and anterior pelvic wall with the larger one being about 58 mm×28 mm. Diffusion-weighted imaging showed multiple pelvic nodules and masses with significant diffusion restriction. The patient was diagnosed as having multiple solid nodules and masses in the pelvic cavity, and the recurrence of sarcoma was highly suspected. Brain CT and lung CT showed no obvious metastatic lesions. A consultation involving the Department of Gynecological Tumor Chemoradiotherapy was held and the sarcoma recurrence during pregnancy was prenatally diagnosed. After ruling out the contraindications for surgery, a cesarean section was performed in the lower segment of uterus under general anesthesia and a live female baby was delivered at 38 ＋3 weeks. The excised mass was confirmed as recurrent uterine stromal sarcoma by rapid freezing pathology during cesarean section. A combination surgery was performed subsequently, including total extra-fascial hysterectomy, bilateral oophorectomy, bilateral salpingectomy, appendectomy, greater omentum resection, pelvic lesion resection (right side), and pelvic adhesiolysis. Recurrent low-grade uterine stromal sarcoma was reconfirmed by postoperative pathology. The patient was discharged after recovery. After two years of follow-up, no distant metastasis recurrences were found.

ObjectiveTo investigate the effect and mechanism of Taohong Siwutang （TSD） on myocardial ischemia reperfusion injury （MIRI） in ovariectomized （OVX） female mice. MethodAfter the OVX model of female mice was established， the estradiol （E₂） level was detected by enzyme-linked immunosorbent assay （ELISA） to verify the model. Sixty OVX mice were randomly divided into six groups： Sham operation group， model group， low， medium， and high dose groups （9， 18， 36 g·kg^-1） of TSD， and nuclear factor E₂-related factor 2 （Nrf2） inhibitor group， with 10 mice in each group. The MIRI model was verified by a laser speckle flowmeter. The pathological changes in myocardial tissue were detected by 2，3， 5-triphenyltetrazolium chloride （TTC） and hematoxylin-eosin （HE） staining. Serum creatine kinase isoenzyme （CK-MB）， cardiac troponin Ⅰ （CTnⅠ）， malondialdehyde （MDA）， superoxide dismutase （SOD）， interleukin-6 （IL-6）， and interleukin-10 （IL-10） levels were detected by ELISA. The expression of Nrf2 and heme oxygenase-1 （HO-1） were observed by immunofluorescence staining. The expressions of Nrf2， HO-1， apoptotic B-cell lymphomato-2 （Bcl-2）， Bcl-2 associated X protein （Bax）， inflammatory cytokines interleukin-18 （IL-18）， and interleukin-1β （IL-1β） were detected by Western blot. ResultCompared with the sham operation group， the serum levels of CK-MB， CTnⅠ， MDA， and IL-6 in the model group were increased （P<0.01）， and the levels of SOD and IL-10 were decreased （P<0.01）. The damage scores of TTC and HE staining in myocardial tissue were increased （P<0.01）. The expressions of Nrf2 and HO-1 in myocardial tissue by immunofluorescence were decreased （P<0.01）， and the protein expressions of Nrf2， HO-1， and Bcl-2 in myocardial tissue were decreased. The protein expressions of Bax， IL-18， and IL-1β were increased （P<0.01）. Compared with the model group， serum levels of CK-MB， CTnⅠ， MDA， and IL-6 of TSD groups were significantly decreased （P<0.05， P<0.01）， and SOD and IL-10 were significantly increased （P<0.05， P<0.01）. TTC staining and HE staining damage scores of myocardial tissue were significantly decreased （P<0.01）. The expressions of Nrf2 and HO-1 in myocardial tissue by immunofluorescence were increased （P<0.01）. The protein expressions of Nrf2， HO-1， and Bcl-2 were significantly increased （P<0.05， P<0.01）， and those of Bax， IL-18， and IL-1β were significantly decreased （P<0.05， P<0.01）. The effect of the high dose group of TSD was the most significant. The serum levels of CK-MB， CTnⅠ， MDA， and IL-6 in the Nrf2 inhibitor group were significantly increased （P<0.05， P<0.01）， and the levels of SOD and IL-10 were significantly decreased （P<0.05， P<0.01）. The damage scores of TTC and HE staining in myocardial tissue were significantly increased （P<0.01）. The expressions of Nrf2 and HO-1 in myocardial tissue by immunofluorescence were significantly decreased （P<0.01）. The protein expressions of Nrf2， HO-1， and Bcl-2 in myocardial tissue were significantly decreased， and those of Bax， IL-18， and IL-1β were significantly increased （P<0.01）. ConclusionTSD can alleviate MIRI in OVX mice， reduce oxidative stress response and the release of inflammatory factors， and inhibit apoptosis， playing a protective role in OVX mice with MIRI， which may be related to the activation of Nrf2/HO-1 signaling pathway.

Objective:To understand the serotype distribution, drug resistance and molecular characterization of invasive non-typhoid Salmonella (iNTS) in Guangdong Province from 2018 to 2022 and provide scientific evidence for the prevention and treatment of blood flow infection caused by Salmonella. Methods:Serological identification, antimicrobial susceptibility testing, multilocus sequence typing (MLST), and whole genome sequencing were performed on Salmonella isolated from blood and stool samples in Guangdong from 2018 to 2022. Simultaneously, annotated the sequencing results for drug resistance genes and virulence factors by a microbial gene annotation system. Results:The 136 iNTS strains were divided into 25 serotypes, and Salmonella enteritidis accounted for 38.24% (52/136). The OR of other iNTS serotypes were calculated with Salmonella typhimurium as the control. The OR values of Oreninburg, Rysson, and Pomona serotypes were the highest, which were 423.50, 352.92, and 211.75, respectively. The drug resistance rate of iNTS was 0.74%-66.91%, which was lower than that of non-iNTS (3.90%-77.21%). The main iNTS of drug resistance were ampicillin and tetracycline, with resistance rates of 66.91% (91/136) and 50.00% (68/136), respectively, while the resistance rates to ciprofloxacin (5.88%,8/136), ceftazidime (5.88%,8/136), gentamicin (5.13%,7/136) and cefoxitin (0.74%, 1/136) were relatively low. iNTS carried a variety of drug-resistance genes and virulence factors, but no standard virulence factor distribution has been found. MLST cluster analysis showed that iNTS was divided into 26 sequence types, and ST11 accounted for 38.24% (52/136). Conclusions:The iNTS strains in Guangdong were dominated by Salmonella enteritidis, of which three serotypes, Oreninburg, Rison, and Pomona, may be associated with a higher risk of invasive infection during 2018 to 2022 . iNTS was sensitive to clinical first-line therapeutic drugs (cephalosporins and fluoroquinolones), with highly diverse sequences and clear phylogenetic branches. ST11 was the local dominant clone group.