ObjectiveThis study leverages structural data from antigen-antibody complexes of the influenza A virus neuraminidase (NA) protein to investigate the spatial recognition relationship between the antigenic epitopes and antibody paratopes. MethodsStructural data on NA protein antigen-antibody complexes were comprehensively collected from the SAbDab database, and processed to obtain the amino acid sequences and spatial distribution information on antigenic epitopes and corresponding antibody paratopes. Statistical analysis was conducted on the antibody sequences, frequency of use of genes, amino acid preferences, and the lengths of complementarity determining regions (CDR). Epitope hotspots for antibody binding were analyzed, and the spatial structural similarity of antibody paratopes was calculated and subjected to clustering, which allowed for a comprehensively exploration of the spatial recognition relationship between antigenic epitopes and antibodies. The specificity of antibodies targeting different antigenic epitope clusters was further validated through bio-layer interferometry (BLI) experiments. ResultsThe collected data revealed that the antigen-antibody complex structure data of influenza A virus NA protein in SAbDab database were mainly from H3N2, H7N9 and H1N1 subtypes. The hotspot regions of antigen epitopes were primarily located around the catalytic active site. The antibodies used for structural analysis were primarily derived from human and murine sources. Among murine antibodies, the most frequently used V-J gene combination was IGHV1-12*01/IGHJ2*01, while for human antibodies, the most common combination was IGHV1-69*01/IGHJ6*01. There were significant differences in the lengths and usage preferences of heavy chain CDR amino acids between antibodies that bind within the catalytic active site and those that bind to regions outside the catalytic active site. The results revealed that structurally similar antibodies could recognize the same epitopes, indicating a specific spatial recognition between antibody and antigen epitopes. Structural overlap in the binding regions was observed for antibodies with similar paratope structures, and the competitive binding of these antibodies to the epitope was confirmed through BLI experiments. ConclusionThe antigen epitopes of NA protein mainly ditributed around the catalytic active site and its surrounding loops. Spatial complementarity and electrostatic interactions play crucial roles in the recognition and binding of antibodies to antigenic epitopes in the catalytic region. There existed a spatial recognition relationship between antigens and antibodies that was independent of the uniqueness of antibody sequences, which means that antibodies with different sequences could potentially form similar local spatial structures and recognize the same epitopes.

Objective: To analyze the disease burden and trends of oral diseases among China’s elderly population (1990-2021) and provide evidence for developing targeted intervention strategies Methods : Using data from the Global Burden of Disease (GBD) 2021 study, we extracted prevalence, incidence, and disability-adjusted life years (DALYs) for oral conditions (permanent dental caries, edentulism, periodontal diseases, and other oral disorders) in individuals aged ≥60 years in China. Due to data limitations, other oral diseases only included DALYs and prevalence. Age-standardized rates (ASR)—including age-standardized prevalence rate (ASPR), age-standardized incidence rate (ASIR), and age-standardized DALYs rate (ASDR)--were calculated. Trends were assessed via Joinpoint regression using average annual percentage change (AAPC), stratified by sex and age groups (60-64, 65-69, 70-74, 75-79, 80-84, 85-89, 90-94, 95+ years). Results: From 1990 to 2021, China’s elderly population exhibited distinct trends in oral disease burden. Overall oral diseases showed declining ASDR and ASPR, yet ASIR slightly increased. Permanent dental caries demonstrated significant rises across ASDR, ASIR, and ASPR. Edentulism showed declining ASDR and ASPR alongside stable ASIR. 95+ age group saw rising rates. Periodontal diseases remained largely stable in ASDR and ASPR but experienced a slight ASIR decline. Other oral disorders showed mild ASDR decline and stable ASPR. Notably, sex and age disparities persisted. Women consistently bore higher burdens for overall oral diseases, caries, edentulism, and other oral diseases but lower periodontal disease rates compared to men. 85-89, 90-95, 95+ age group faced rising DALYs and prevalence for overall oral diseases, while all other age groups demonstrated declining trends in both DALYs and prevalence; for permanent caries, the 60-64 age group showed the largest increases in DALY rate, incidence, and prevalence; edentulism demonstrated the most pronounced and sustained rises in DALY rate and prevalence in the 95+ group, while declining most rapidly in the 60-64 age group; for periodontal disease, both DALY rates and prevalence declined in the 90-94 and 95+ age groups, but increased across all measures (DALY rate, incidence, and prevalence) in the 70-74 and 75-79 age group; other oral conditions exhibited relatively stable burden distributions or minor changes, with no significant age-specific shifting trends observed. Conclusion From 1990 to 2021, China’s elderly oral disease burden declined overall, but caries surged, edentulism improved, periodontal diseases stabilized, and other oral diseases slightly declined. Prioritizing older women and the adults aged 85+ is critical to addressing evolving oral health needs.

Based on ultra-high performance liquid chromatography-quadrupole-Exactive Orbitrap mass spectrometry(UPLC-Q-Exactive Orbitrap-MS) technology and network pharmacology, this study explored the pharmacodynamic substances and potential mechanisms of Huazhuo Sanjie Chubi Decoction in the treatment of gouty arthritis(GA). UPLC-Q-Exactive Orbitrap-MS technology was used to identify the components in Huazhuo Sanjie Chubi Decoction, and the qualitative analysis of its active ingredients was carried out, with a total of 184 active ingredients identified. A total of 897 active ingredient targets were screened through the PharmMapper database, and 491 GA-related disease targets were obtained from the OMIM, GeneCards, CTD databases. After Venn analysis, 60 intersecting targets were obtained. The component target-GA target network was constructed through the Cytoscape platform, and the STRING database was used to construct a protein-protein interaction network, with 16 core targets screened. The core targets were subjected to Gene Ontology(GO) and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment analyses, and the component-target-pathway network was constructed. It was found that the main active ingredients of the formula for the treatment of GA were phenols, flavonoids, alkaloids, and terpenoids, and the key targets were SRC, MMP3, MMP9, REN, ALB, IGF1R, PPARG, MAPK1, HPRT1, and CASP1. Through GO analysis, it was found that the treatment of GA mainly involved biological processes such as lipid response, bacterial response, and biostimulus response. KEGG analysis showed that the pathways related to the treatment of GA included lipids and atherosclerosis, neutrophil extracellular traps(NETs), IL-17, and so on. In summary, phenols, flavonoids, alkaloids, and terpenoids may be the core pharmacodynamic substances of Huazhuo Sanjie Chubi Decoction in the treatment of GA, and the pharmacodynamic mechanism may be related to SRC, MMP3, MMP9, and other targets, as well as lipids and atherosclerosis, NETs, IL-17, and other pathways.
Drugs, Chinese Herbal/therapeutic use* ; Network Pharmacology ; Arthritis, Gouty/metabolism* ; Chromatography, High Pressure Liquid/methods* ; Humans ; Mass Spectrometry/methods* ; Protein Interaction Maps/drug effects*

OBJECTIVE: To analyze the significance of total vitamin D (tVD), total procollagen type I amino-terminal propeptide (tPINP) and β-CrossLaps (β-CTx) in the staging and prognosis of patients with multiple myeloma (MM). METHODS: A total of 54 patients with newly diagnosed MM admitted to the Second Affiliated Hospital of Fujian Medical University from 2020 to 2022 were selected as the observation group (MM group), and 50 healthy persons who underwent physical examinations in our hospital were selected as the control group. The expression levels of tVD, tPINP and β-CTx in the two groups were detected by chemiluminescence method. The differences in the expression levels of tVD, tPINP and β-CTx among MM patients at different ISS stages were analyzed. The expression levels of tVD, tPINP and β-CTx in MM patients with different levels of hemoglobin (Hb), serum calcium (Ca), creatinine (Crea), albumin (ALB), β₂-microglobulin (β₂-MG) and lactate dehydrogenase (LDH) were compared. The correlations between the expression levels of tVD, tPINP, β-CTx and the aforementioned clinical parameters were analyzed, respectively. The relationship between the expression levels of tVD, tPINP, β-CTx and the progression-free survival (PFS) of MM patients was analyzed. RESULTS: The expression level of tVD in the MM group was significantly lower than that in the control group (21.73±14.45 ng/ml vs 30.78±9.94 ng/ml, P =0.022). The expression level of β-CTx in the MM group was significantly higher than that in the control group (1.43±0.99 ng/ml vs 0.53±0.29 ng/ml, P =0.013). The tVD level in MM patients with ISS stage I-II was significantly higher than that of MM patients with ISS stage III (29.50±14.59 ng/ml vs 12.62±7.73 ng/ml, P =0.028), indicating that the higher the ISS stage, the lower the tVD level. The tPINP and β-CTx levels in MM patients with high Ca levels (>2.65 mmol/L) were significantly higher than those in patients with low Ca levels (≤2.65 mmol/L) (P =0.016, P =0.021). The tVD level of MM patients was positively correlated with the ALB level (r =0.570), tPINP was positively correlated with Ca and β₂-MG levels (r =0.791,r =0.673), and β-CTx was positively correlated with tPINP level (r =0.616). The PFS of the low tVD expression group was significantly lower than that of the high tVD expression group (P =0.041). CONCLUSION The expression level of tVD is decreased in MM patients, which can be used as an indicator to evaluate the disease stage and prognosis of the patients. The β-CTx expression level is increased in MM patients. tPINP and β-CTx may be correlated with clinical symptoms such as osteolytic lesions and renal function changes in MM patients.
Humans ; Multiple Myeloma/pathology* ; Procollagen/blood* ; Vitamin D/blood* ; Prognosis ; Peptide Fragments/blood* ; Collagen Type I/blood* ; Female ; Male ; Middle Aged ; Aged ; Neoplasm Staging

Hepatic stellate cells (HSCs) are the primary fibrogenic cells in the liver, and their activation plays a crucial role in the development and progression of hepatic fibrosis. Here, we report that retinoid X receptor-alpha (RXRα), a unique member of the nuclear receptor superfamily, is a key modulator of HSC activation and liver fibrosis. RXRα exerts its effects by modulating calcium/calmodulin-dependent protein kinase kinase β (CaMKKβ)-mediated activation of AMP-activated protein kinase-alpha (AMPKα). In addition, we demonstrate that K-80003, which binds RXRα by a unique mechanism, effectively suppresses HSC activation, proliferation, and migration, thereby inhibiting liver fibrosis in the CCl₄ and amylin liver NASH (AMLN) diet animal models. The effect is mediated by AMPKα activation, promoting mitophagy in HSCs. Mechanistically, K-80003 activates AMPKα by inducing RXRα to form condensates with CaMKKβ and AMPKα via a two-phase process. The formation of RXRα condensates is driven by its N-terminal intrinsic disorder region and requires phosphorylation by CaMKKβ. Our results reveal a crucial role of RXRα in liver fibrosis regulation through modulating mitochondrial activities in HSCs. Furthermore, they suggest that K-80003 and related RXRα modulators hold promise as therapeutic agents for fibrosis-related diseases.

Early-life stress (ES) leads to cognitive dysfunction in female adolescents, but the underlying neural mechanisms remain elusive. Recent evidence suggests that the cell adhesion molecules NECTIN1 and NECTIN3 play a role in cognition and ES-related cognitive deficits in male rodents. In this study, we aimed to investigate whether and how nectins contribute to ES-induced cognitive dysfunction in female adolescents. Applying the well-established limited bedding and nesting material paradigm, we found that ES impairs recognition memory, suppresses prefrontal NECTIN1 and hippocampal NECTIN3 expression, and upregulates corticotropin-releasing hormone (Crh) and its receptor 1 (Crhr1) mRNA levels in the hippocampus of adolescent female mice. Genetic experiments revealed that the reduction of dorsal CA1 (dCA1) NECTIN3 mediates ES-induced object recognition memory deficits, as knocking down dCA1 NECTIN3 impaired animals' performance in the novel object recognition task, while overexpression of dCA1 NECTIN3 successfully reversed the ES-induced deficits. Notably, prefrontal NECTIN1 knockdown did not result in significant cognitive impairments. Furthermore, acute systemic administration of antalarmin, a CRHR1 antagonist, upregulated hippocampal NECTIN3 levels and rescued object and spatial memory deficits in stressed mice. Our findings underscore the critical role of dCA1 NECTIN3 in mediating ES-induced object recognition memory deficits in adolescent female mice, highlighting it as a potential therapeutic target for stress-related psychiatric disorders in women.
Animals ; Female ; Mice ; CA1 Region, Hippocampal/metabolism* ; Cell Adhesion Molecules/metabolism* ; CRF Receptor, Type 1/metabolism* ; Memory Disorders/etiology* ; Mice, Inbred C57BL ; Nectins/genetics* ; Receptors, Corticotropin-Releasing Hormone/antagonists & inhibitors* ; Recognition, Psychology/physiology* ; Stress, Psychological/complications*

OBJECTIVE: To develop and validate a nomogram model for predicting 30-day mortality among elderly patients with sepsis-associated liver dysfunction (SALD), to identify high-risk patients and improve prognosis. METHODS: A retrospective cohort study was conducted using data extracted from the Medical Information Mart for Intensive Care-IV (MIMIC-IV) database for elderly patients with SALD who were first admitted to the intensive care unit (ICU) of Beth Israel Deaconess Medical Center between 2008 and 2019, including basic characteristics, severity scores, underlying diseases, infection foci, 24-hour vital signs, initial laboratory indicators, 24-hour complications, and prognosis related indicators. Patients were randomly assigned to training group and validation group in a ratio of 7 : 3. The training group used the LASSO regression analysis, as well as multivariate Logistic regression analysis to screen for independent risk factors for 30-day mortality. A nomogram prediction model was constructed, and receiver operator characteristic curve (ROC curve), calibration curves, and decision curve analysis (DCA) were used to evaluate the model, and validate the model using the validation cohort. RESULTS: A total of 630 elderly patients with SLAD were included in the study, including 441 in the training group and 189 in the validation group. Oxford acute severity of illness score (OASIS) for training group [odds ratio (OR) = 1.060, 95% confidence interval (95%CI) was 1.034-1.086], 24-hour pulse oxygen saturation (SpO₂; OR = 0.876, 95%CI was 0.797-0.962), initial mean corpuscular volume (MCV; OR = 1.043, 95%CI was 1.009-1.077), initial red blood cell distribution width (RDW; OR = 1.237, 95%CI was 1.123-1.362), initial blood glucose (OR = 1.008, 95%CI was 1.004-1.013), and initial aspartate aminotransferase (AST; OR = 1.000, 95%CI was 1.000-1.001) were independent risk factors for 30-day mortality in patients (all P < 0.05). Based on the above variables, a nomogram model was constructed, and the ROC curve showed that the area under the curve (AUC) of the model in the training group was 0.757 (95%CI was 0.712-0.803), with a sensitivity of 65.05% and a specificity of 74.90%; the AUC of the model in the validation group was 0.712 (95%CI was 0.631-0.792), with a sensitivity of 58.67% and a specificity of 81.58%. The calibration curves of the training and validation groups show that both the fitted curves were close to the standard curves. The Hosmer-Lemeshow test: the training group (χ ² = 6.729, P = 0.566), the validation group (χ ² = 13.889, P = 0.085), indicating that the model can fit the observed data well. The DCA curve shows that when the threshold probability of the training group was 16% to 94% and the threshold probability of the validation group was 27% to 99%, the net benefit of the model was good. CONCLUSIONS OASIS, 24-hour SpO₂, initial MCV, initial RDW, initial blood glucose and initial AST are independent risk factors for 30-day mortality in elderly patients with SALD. The nomogram based on these six variables demonstrates good predictive performance.
Humans ; Sepsis/complications* ; Retrospective Studies ; Nomograms ; Aged ; Prognosis ; Risk Factors ; Liver Diseases/mortality* ; Intensive Care Units ; ROC Curve ; Male ; Female ; Logistic Models

Objective:To investigate the effect of sleep on physical performance and the correlation between sleep quality and physical performance in the elderly.Methods:In this prospective multicenter case-control study, 472 elderly people aged 60-80 years were recruited from three regions in China, Beijing, Tianjin, and Hainan Province.Basic information of study participants was collected through face-to-face interviews, and physical performance of study participants was assessed by the time up and go(TUG)test on site, with 106 cases(22.5%)in the normal physical performance group and 366 cases(77.5%)in the abnormal group.The Pittsburgh Sleep Quality Index(PSQI)and the Epworth Sleepiness Scale(ESS)were applied to assess sleep quality of study subjects.Correlation analysis was performed to examine factors affecting subjects' physical performance.Results:Age, history of alcohol consumption, BMI, past medical history, the ESS score, daytime sleepiness, and some components of PSQI, such as sleep quality, sleep efficiency, sleep disturbances, use of sleeping drugs and daytime dysfunction, were influencing factors of the TUG score.Two components of PSQI, sleep duration and habitual sleep efficiency, and the ESS score were positively correlated with physical performance.Logistic regression analysis showed that risk factors for decreased physical performance in the elderly included increased age( OR=1.125, 95% CI: 1.083-1.168, P<0.01), history of alcohol consumption( OR=0.482, 95% CI: 0.384-0.605, P<0.001), abnormally high body mass index( OR=1.663, 95% CI: 1.340-2.063, P<0.01), hyperlipemia( OR=0.156, 95% CI: 0.077-0.318, P<0.01), digestive system diseases( OR=0.154, 95% CI: 0.044-0.532, P<0.01), use of sleeping drugs( OR=0.415, 95% CI: 0.202-0.854, P<0.05), daytime sleepiness( OR=4.234, 95% CI: 2.800-6.403, P<0.01), a high habitual sleep efficiency score of PSQI( OR=1.425, 95% CI: 1.214-1.672, P<0.01)and a high sleep disturbances score in PSQI( OR=3.356, 95% CI: 2.337-4.819, P<0.01). Conclusions:The incidence of physical performance decline is high in the elderly.There is a correlation between physical performance and sleep quality.

Objective:To investigate the correlation between serum growth differentiation factor 11 (GDF11) level and coronary artery lesions in patients with ST-segment elevation myocardial infarction (STEMI), and the predictive efficacy of nomogram risk prediction model based on GDF11 combined with traditional risk factors on the occurrence of STEMI.Methods:This study was a retrospective cross-sectional study. Patients hospitalized in the Department of Cardiology of the 904th Hospital of Joint Logistic Support Force of People′s Liberation Army of China from 2016 to 2018 were selected and divided into control group and STEMI group. The demographic data, blood lipid level, laboratory indicators of blood and GDF11 level were collected. Logistic regression analysis screened out independent correlated factors for the occurrence of STEMI. Spearman correlation analysis clarified the correlation of each indicator with the SYNTAX or Gensini scores. A nomogram risk prediction model for the risk of STEMI occurrence and the receiver operating characteristic curve was used to compare the prediction efficiency of each model.Results:A total of 367 patients were enrolled, divided into control group ( n=172) and STEMI group ( n=195), age (66.5±11.8), male 222 (60.49%). The serum GDF11 level of STEMI group was significantly lower than that of the control group (36.20 (16.60, 70.75) μg/L vs. 85.00 (53.93, 117.10) μg/L, P<0.001). The results of multivariate logistic regression analysis showed serum GDF11( OR=0.98, 95% CI: 0.97-0.99) and traditional independent risk factors such as smoking, diabetes, C-reactive protein, homocysteine, lipoprotein (a) and apolipoprotein A1/B were independent correlate factors for the occurrence of STEMI ( P<0.05). Spearman correlation analysis showed that serum GDF11 was negatively correlated with SYNTAX score and Gensini score ( P<0.05). The nomogram model constructed by serum GDF11 combined with traditional independent risk factors (AUC=0.85, 95% CI: 0.81-0.89) had better predictive value for the occurrence of STEMI than the traditional nomogram model constructed by independent risk factors(AUC=0.80, 95% CI:0.75-0.84) or serum GDF11 (AUC=0.76, 95% CI: 0.72-0.81), all P<0.01. Conclusions:Serum GDF11 is an independent correlate factor in the occurrence of STEMI and is negatively correlated with the severity of coronary artery lesions in patients with STEMI. The nomogram model constructed based on GDF11 combined with traditional risk factors can be a good predictor for the occurrence of STEMI.

Objective To investigate the food allergy situation of children in Changping District of Beijing,and to explore the influence of allergic family history,gender and mode of delivery on food allergy in children,the distribution of food allergy in different age groups,the types of food allergy that are easy to cause in this area,and the comorbidities of food allergy.Methods A total of 515 children aged 0 to 14 years who were admitted to the general pediatric outpatient and emergency department and inpatient of Beijing Changping Hospital from April to November 2023.Using immunoblotting to detect specific immunoglobulin E in the serum of pediatric patients,and using SPSS 26.0 statistical software to perform binomial tests on gender and delivery mode non parameters;Using custom Excel functions to statistically analyze the family history of allergies,the number of people in different age groups,and the frequency of allergic foods in each group;Use a self-made mini program to statistically analyze the combination of comorbid allergic diseases.Results ① The number of male children with food allergies(306 cases)was higher than that of female children(209 cases),and the difference was statistically significant(P＜0.05).(2)There were 109 cases of pediatric patients with parents who had no history of allergic diseases,accounting for 21.17％of the total cases;There were a total of 406 cases where at least one parent had a family history of allergies,accounting for 78.83％of the total cases.Among them,228 cases(44.27％)had one parent with a history of allergies,and 178 cases(34.56％)had both parents with a history of allergies.③ Among 515 children with positive food allergens,there were 10 cases(1.94％)in infancy,37 cases(7.19％)in early childhood,235 cases(45.63％)in preschool,192 cases(37.28％)in school age,and 41 cases(7.96％)in adolescence.The highest positivity rate for food allergens is in milk(444 times),followed by egg white(70 times),cashew nuts(57 times),crab(37 times),beef(26 times),mango(24 times),shrimp(21 times),pineapple(6 times),and shellfish(1 time).Milk protein is the most common allergen in all age groups.(4)Among 515 children with food allergies,399 cases were single food allergies,accounting for 77.47％;116 cases of multiple food allergies(2 or more types of food allergies),accounting for 22.53％.⑤ The most common comorbidity of food allergies is food allergy related gastrointestinal diseases combined with allergic rhinitis,with a total of 267 cases;Secondly,there were 192 cases of allergic rhinitis combined with chronic cough,and 124 cases of food allergy related gastrointestinal diseases combined with chronic cough.Conclusion Milk is the main allergen of food allergy in people of age 14 and under,and gastrointestinal symptoms are the most common in children with food allergy.