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.

To investigate the transcriptionally regulatory mechanism of the senp8 promoter in yellow cat-fish(Pelteobagrus fulvidraco);this study used P.fulvidraco as the research subject.Dual-luciferase re-porter assay and electrophoretic mobility shift assay were employed to analyze the functional activity of the promoter;coupled with in vivo experiments.The results indicated that the 2 045 bp senp8 promoter se-quence contained key transcription factor binding sites such as SP1;TATA-Box;CCAAT-Box;SREBP1;PPARα;and PPARγ.The binding sites of SREBP1(-901/-910 bp);PPARα(-1 291/-1 308 bp);and PPARγ(-1 292/-1 306 bp)in the senp8 promoter positively regulate its activity;and oleic acid or palmitic acid promote this binding.Furthermore;high-fat feeding promoted the expression of the senp8 gene and its protein in the liver of P.fulvidraco;oleic acid or palmitic acid treatment significantly en-hanced the activity of the senp8 promoter;and this enhancement could be achieved through the regulatory effects of SREBP1;PPARα;and PPARγ response elements.Additionally;high-fat feeding influenced the mRNA and protein expression levels of genes related to deSUMOylation modification in the liver of P.fulvidraco.This study provides new insights into the relationship between deSUMOylation modification and the regulation of lipid metabolism in the vertebrates.

To investigate the transcriptionally regulatory mechanism of the senp8 promoter in yellow cat-fish(Pelteobagrus fulvidraco);this study used P.fulvidraco as the research subject.Dual-luciferase re-porter assay and electrophoretic mobility shift assay were employed to analyze the functional activity of the promoter;coupled with in vivo experiments.The results indicated that the 2 045 bp senp8 promoter se-quence contained key transcription factor binding sites such as SP1;TATA-Box;CCAAT-Box;SREBP1;PPARα;and PPARγ.The binding sites of SREBP1(-901/-910 bp);PPARα(-1 291/-1 308 bp);and PPARγ(-1 292/-1 306 bp)in the senp8 promoter positively regulate its activity;and oleic acid or palmitic acid promote this binding.Furthermore;high-fat feeding promoted the expression of the senp8 gene and its protein in the liver of P.fulvidraco;oleic acid or palmitic acid treatment significantly en-hanced the activity of the senp8 promoter;and this enhancement could be achieved through the regulatory effects of SREBP1;PPARα;and PPARγ response elements.Additionally;high-fat feeding influenced the mRNA and protein expression levels of genes related to deSUMOylation modification in the liver of P.fulvidraco.This study provides new insights into the relationship between deSUMOylation modification and the regulation of lipid metabolism in the vertebrates.

BACKGROUND: Atrial fibrillation (AF) is a common cardiac arrhythmia in the elderly. This study aimed to evaluate urban-rural disparities in its prevalence and management in elderly Chinese. METHODS: Consecutive participants aged ≥ 65 years attending outpatient clinics were enrolled for AF screening using handheld single-lead electrocardiogram (ECG) from April 2017 to December 2022. Each ECG rhythm strip was reviewed from the research team. AF or uninterpretable single-lead ECGs were referred for 12-lead ECG. Primary study outcome comparison was between rural and urban areas for the prevalence of AF. The Student's t-test was used to compare mean values of clinical characteristics between rural and urban participants, while the Pearson's chi-square test was used to compare between-group proportions. Multivariate stepwise logistic regression analysis was performed to estimate the association between AF and various patient characteristics. RESULTS: The 29,166 study participants included 13,253 men (45.4%) and had a mean age of 72.2 years. The 7073 rural participants differed significantly (P ≤ 0.02) from the 22,093 urban participants in several major characteristics, such as older age, greater body mass index, and so on. The overall prevalence of AF was 4.6% (n = 1347). AF was more prevalent in 7073 rural participants than 22,093 urban participants (5.6% vs. 4.3%, P < 0.01), before and after adjustment for age, body mass index, blood pressure, pulse rate, cigarette smoking, alcohol consumption and prior medical history. Multivariate logistic regression analysis identified overweight/obesity (OR = 1.35, 95% CI: 1.17-1.54) in urban areas and cigarette smoking (OR = 1.62, 95% CI: 1.20-2.17) and alcohol consumption (OR = 1.42, 95% CI: 1.04-1.93) in rural areas as specific risk factors for prevalent AF. In patients with known AF in urban areas (n = 781) and rural areas (n = 338), 60.6% and 45.9%, respectively, received AF treatment (P < 0.01), and only 22.4% and 17.2%, respectively, received anticoagulation therapy (P = 0.05). CONCLUSIONS In China, there are urban-rural disparities in AF in the elderly, with a higher prevalence and worse management in rural areas than urban areas. Our study findings provide insight for health policymakers to consider urban-rural disparity in the prevention and treatment of AF.

Objective:To investigate the levels of diphtheria-specific binding antibodies and neutralizing antibodies in mice immunized with pneumococcal polysaccharide conjugate vaccine using diphtheria toxoid as a carrier.Methods:NIH mice were immunized with one batch of diphtheria, tetanus and acellular pertussis combined vaccine, absorbed (DTaP-1) or three different batches of 13-valent pneumococcal polysaccharide conjugate vaccine (PCV13, containing diphtheria toxoid vector) at three dilutions (5-, 10- and 20-fold dilution). Serum samples were collected to test for diphtheria-specific antibody titers and diphtheria potencies of the vaccines. Another three batches of DTaP vaccine and three batches of tetanus toxoid, reduced diphtheria toxoid and acellular pertussis combined vaccine (Tdap) were used to immunize NIH mice. Serum samples were collected and the diphtheria potencies were detected. Statistical analysis was performed using one-way analysis of variance.Results:At the 5-fold and 10-fold dilutions, the titers of diphtheria-specific antibodies induced by three batches of PCV13 vaccine were all lower than those by DTaP-1 vaccine (all P<0.001), while there was no statistically significant difference at the 20-fold dilution ( P>0.05). The diphtheria potencies of the DTaP-1 vaccine and the three batches of PCV13 vaccine were 100.5, 76.2, 64.5, and 62.0 IU/ml, respectively. The diphtheria potencies of another three batches of DTaP vaccine were 82.5, 83.6, and 79.9 IU/ml, respectively, and those of three batches of Tdap vaccine were 10.3, 12.2, and 12.9 IU/ml, respectively. There was no statistically significant difference in diphtheria potency between DTaP vaccine and PCV13 vaccine( P>0.05), while there was a statistically significant difference between Tdap vaccine and the PCV13 vaccine ( P<0.001). Conclusions:The pneumococcal polysaccharide conjugate vaccine with diphtheria toxoid has good diphtheria immunogenicity and can induce the production of higher levels of diphtheria-specific binding antibodies and protective neutralizing antibodies in vivo. Pneumococcal capsular polysaccharide exerts an immune enhancement effect on diphtheria toxoid. The relevant results provide valuable guidance for determining carrier protein dosage in bacterial polysaccharide conjugate vaccines, planning vaccine co-administration, and selecting the dosage of diphtheria toxoid antigen in the research and development of combined vaccines.

BACKGROUND: G protein-coupled receptor kinase 2 (GRK2) could participate in the regulation of diverse cells via interacting with non-G-protein-coupled receptors. In the present work, we explored how paroxetine, a GRK2 inhibitor, modulates the differentiation and activation of immune cells in rheumatoid arthritis (RA). METHODS: The blood samples of healthy individuals and RA patients were collected between July 2021 and March 2022 from the First Affiliated Hospital of Anhui Medical University. C57BL/6 mice were used to induce the collagen-induced arthritis (CIA) model. Flow cytometry analysis was used to characterize the differentiation and function of dendritic cells (DCs)/T cells. Co-immunoprecipitation was used to explore the specific molecular mechanism. RESULTS: In patients with RA, high expression of GRK2 in peripheral blood lymphocytes, accompanied by the increases of phosphatidylinositol 3 kinase (PI3K), protein kinase B (AKT), and mammalian target of rapamycin (mTOR). In animal model, a decrease in regulatory T cells (T regs ), an increase in the cluster of differentiation 8 positive (CD8 + ) T cells, and maturation of DCs were observed. Paroxetine, when used in vitro and in CIA mice, restrained the maturation of DCs and the differentiation of CD8 + T cells, and induced the proportion of T regs . Paroxetine inhibited the secretion of pro-inflammatory cytokines, the expression of C-C motif chemokine receptor 7 in DCs and T cells. Simultaneously, paroxetine upregulated the expression of programmed death ligand 1, and anti-inflammatory cytokines. Additionally, paroxetine inhibited the PI3K-AKT-mTOR metabolic pathway in both DCs and T cells. This was associated with a reduction in mitochondrial membrane potential and changes in the utilization of glucose and lipids, particularly in DCs. Paroxetine reversed PI3K-AKT pathway activation induced by 740 Y-P (a PI3K agonist) through inhibiting the interaction between GRK2 and PI3K in DCs and T cells. CONCLUSION Paroxetine exerts an immunosuppressive effect by targeting GRK2, which subsequently inhibits the metabolism-related PI3K-AKT-mTOR pathway of DCs and T cells in RA.
G-Protein-Coupled Receptor Kinase 2/metabolism* ; Arthritis, Rheumatoid/immunology* ; Animals ; Dendritic Cells/metabolism* ; Paroxetine/therapeutic use* ; Proto-Oncogene Proteins c-akt/metabolism* ; Mice ; Humans ; Mice, Inbred C57BL ; Signal Transduction/drug effects* ; Male ; Phosphatidylinositol 3-Kinases/metabolism* ; Lymphocyte Activation/drug effects* ; Female ; T-Lymphocytes/metabolism* ; Middle Aged

Objective:To investigate the levels of diphtheria-specific binding antibodies and neutralizing antibodies in mice immunized with pneumococcal polysaccharide conjugate vaccine using diphtheria toxoid as a carrier.Methods:NIH mice were immunized with one batch of diphtheria, tetanus and acellular pertussis combined vaccine, absorbed (DTaP-1) or three different batches of 13-valent pneumococcal polysaccharide conjugate vaccine (PCV13, containing diphtheria toxoid vector) at three dilutions (5-, 10- and 20-fold dilution). Serum samples were collected to test for diphtheria-specific antibody titers and diphtheria potencies of the vaccines. Another three batches of DTaP vaccine and three batches of tetanus toxoid, reduced diphtheria toxoid and acellular pertussis combined vaccine (Tdap) were used to immunize NIH mice. Serum samples were collected and the diphtheria potencies were detected. Statistical analysis was performed using one-way analysis of variance.Results:At the 5-fold and 10-fold dilutions, the titers of diphtheria-specific antibodies induced by three batches of PCV13 vaccine were all lower than those by DTaP-1 vaccine (all P<0.001), while there was no statistically significant difference at the 20-fold dilution ( P>0.05). The diphtheria potencies of the DTaP-1 vaccine and the three batches of PCV13 vaccine were 100.5, 76.2, 64.5, and 62.0 IU/ml, respectively. The diphtheria potencies of another three batches of DTaP vaccine were 82.5, 83.6, and 79.9 IU/ml, respectively, and those of three batches of Tdap vaccine were 10.3, 12.2, and 12.9 IU/ml, respectively. There was no statistically significant difference in diphtheria potency between DTaP vaccine and PCV13 vaccine( P>0.05), while there was a statistically significant difference between Tdap vaccine and the PCV13 vaccine ( P<0.001). Conclusions:The pneumococcal polysaccharide conjugate vaccine with diphtheria toxoid has good diphtheria immunogenicity and can induce the production of higher levels of diphtheria-specific binding antibodies and protective neutralizing antibodies in vivo. Pneumococcal capsular polysaccharide exerts an immune enhancement effect on diphtheria toxoid. The relevant results provide valuable guidance for determining carrier protein dosage in bacterial polysaccharide conjugate vaccines, planning vaccine co-administration, and selecting the dosage of diphtheria toxoid antigen in the research and development of combined vaccines.

Objective:To evaluate the health status of elderly individuals by examining physical, psychological, and social health, as well as analyzing the risk factors that affect these dimensions of health among community-dwelling residents.Methods:Utilizing whole group sampling, a total of 404 elderly individuals from the Meiyuan community, located under the jurisdiction of Malianwa Street in Haidian District, Beijing, were selected for this study.The status of physical health, mental health, social health and overall health in the elderly were evaluated by a self-made questionnaire.The influencing factors of health status in all dimensions were analyzed by Chi-square test and multiple logistic regression.Results:The overall health rate among elderly community-dwelling residents in the study was 21.3%(86 cases), while the rates for physical health, mental health, and social health were 66.8%(270 cases), 86.6%(350 cases), and 24.3%(98 cases), respectively.Marital status( OR=2.872, 95% CI: 1.462-5.641), residential status( OR=4.819, 95% CI: 1.294-17.952), cognitive function( OR=3.833, 95% CI: 1.899-7.734), health literacy( OR=0.455, 95% CI: 0.226-0.916), social participation( OR=1.642, 95% CI: 1.192-2.263), social adaptation( OR=1.716, 95% CI: 1.125-2.618), and social network( OR=1.727, 95% CI: 1.147-2.598)were identified as influencing factors for physical health in the elderly(all P<0.05).Factors affecting mental health included instrumental activities of daily living( OR=3.248, 95% CI: 1.997-5.282)and health risk factors( OR=2.475, 95% CI: 1.315-4.656)(all P<0.05).For social health, the influencing factors were residence status( OR=3.158, 95% CI: 1.280-7.794), sleep status( OR=1.801, 95% CI: 1.101-2.947), instrumental activities of daily living( OR=2.966, 95% CI: 1.374-6.405), and life satisfaction( OR=2.362, 95% CI: 1.140-4.893)(all P<0.05).Additionally, education( OR=0.588, 95% CI: 0.360-0.962)and home care services( OR=2.272, 95% CI: 1.278-4.039)were found to affect the overall health of the elderly(all P<0.05). Conclusions:In this study, the overall health rate among community-dwelling elderly residents is reported to be 21.3%.Health status in this population gradually deteriorates with advancing age.Numerous factors influence the multidimensional health of the elderly, with education level and caregiving status identified as significant determinants of their overall health.

Objective:To evaluate the health status of elderly individuals by examining physical, psychological, and social health, as well as analyzing the risk factors that affect these dimensions of health among community-dwelling residents.Methods:Utilizing whole group sampling, a total of 404 elderly individuals from the Meiyuan community, located under the jurisdiction of Malianwa Street in Haidian District, Beijing, were selected for this study.The status of physical health, mental health, social health and overall health in the elderly were evaluated by a self-made questionnaire.The influencing factors of health status in all dimensions were analyzed by Chi-square test and multiple logistic regression.Results:The overall health rate among elderly community-dwelling residents in the study was 21.3%(86 cases), while the rates for physical health, mental health, and social health were 66.8%(270 cases), 86.6%(350 cases), and 24.3%(98 cases), respectively.Marital status( OR=2.872, 95% CI: 1.462-5.641), residential status( OR=4.819, 95% CI: 1.294-17.952), cognitive function( OR=3.833, 95% CI: 1.899-7.734), health literacy( OR=0.455, 95% CI: 0.226-0.916), social participation( OR=1.642, 95% CI: 1.192-2.263), social adaptation( OR=1.716, 95% CI: 1.125-2.618), and social network( OR=1.727, 95% CI: 1.147-2.598)were identified as influencing factors for physical health in the elderly(all P<0.05).Factors affecting mental health included instrumental activities of daily living( OR=3.248, 95% CI: 1.997-5.282)and health risk factors( OR=2.475, 95% CI: 1.315-4.656)(all P<0.05).For social health, the influencing factors were residence status( OR=3.158, 95% CI: 1.280-7.794), sleep status( OR=1.801, 95% CI: 1.101-2.947), instrumental activities of daily living( OR=2.966, 95% CI: 1.374-6.405), and life satisfaction( OR=2.362, 95% CI: 1.140-4.893)(all P<0.05).Additionally, education( OR=0.588, 95% CI: 0.360-0.962)and home care services( OR=2.272, 95% CI: 1.278-4.039)were found to affect the overall health of the elderly(all P<0.05). Conclusions:In this study, the overall health rate among community-dwelling elderly residents is reported to be 21.3%.Health status in this population gradually deteriorates with advancing age.Numerous factors influence the multidimensional health of the elderly, with education level and caregiving status identified as significant determinants of their overall health.

OBJECTIVES: To investigate the risk factors for neonatal asphyxia in Hubei Enshi Tujia and Miao Autonomous Prefecture and establish a nomogram model for predicting the risk of neonatal asphyxia. METHODS: A retrospective study was conducted with 613 cases of neonatal asphyxia treated in 20 cooperative hospitals in Enshi Tujia and Miao Autonomous Prefecture from January to December 2019 as the asphyxia group, and 988 randomly selected non-asphyxia neonates born and admitted to the neonatology department of these hospitals during the same period as the control group. Univariate and multivariate analyses were used to identify risk factors for neonatal asphyxia. R software (4.2.2) was used to establish a nomogram model. Receiver operator characteristic curve, calibration curve, and decision curve analysis were used to assess the discrimination, calibration, and clinical usefulness of the model for predicting the risk of neonatal asphyxia, respectively. RESULTS: Multivariate logistic regression analysis showed that minority (Tujia), male sex, premature birth, congenital malformations, abnormal fetal position, intrauterine distress, maternal occupation as a farmer, education level below high school, fewer than 9 prenatal check-ups, threatened abortion, abnormal umbilical cord, abnormal amniotic fluid, placenta previa, abruptio placentae, emergency caesarean section, and assisted delivery were independent risk factors for neonatal asphyxia (P<0.05). The area under the curve of the model for predicting the risk of neonatal asphyxia based on these risk factors was 0.748 (95%CI: 0.723-0.772). The calibration curve indicated high accuracy of the model for predicting the risk of neonatal asphyxia. The decision curve analysis showed that the model could provide a higher net benefit for neonates at risk of asphyxia. CONCLUSIONS The risk factors for neonatal asphyxia in Hubei Enshi Tujia and Miao Autonomous Prefecture are multifactorial, and the nomogram model based on these factors has good value in predicting the risk of neonatal asphyxia, which can help clinicians identify neonates at high risk of asphyxia early, and reduce the incidence of neonatal asphyxia.
Infant, Newborn ; Humans ; Male ; Pregnancy ; Female ; Nomograms ; Retrospective Studies ; Cesarean Section ; Risk Factors ; Asphyxia Neonatorum/etiology*