Clinical characteristics and outcomes of COVID-19 in pediatric patients with rheumatic diseases.

BACKGROUND: This study investigates the clinical characteristics and outcomes of pediatric patients with rheumatic diseases infected with COVID-19 in China. METHODS: We conducted a retrospective analysis of pediatric patients with rheumatic diseases who contracted COVID-19. Data were collected via a comprehensive questionnaire with a 14-day follow-up. Multivariable logistic regression was used to assess severe outcomes, and network analyses evaluated symptom correlations. RESULTS: A total of 1070 cases were collected. Fever (88.05%) and cough (62.75%) were the most common symptoms. Cough, nasal congestion, and runny nose exhibited a stronger correlation with each other. A higher incidence of fever reduced the incidence of two single symptoms (nasal congestion [r = -0.833], runny nose [r = -0.762]). Vaccinated children showed a shorter time to negative COVID-19 conversion (7.21 days vs. 7.63 days, p < 0.05) and lower hospitalization rates (p = 0.025). Prolonged symptom duration was associated with older age (OR: 1.07 [1.04-1.11]; p < 0.001) and systemic lupus erythematosus (OR: 1.47 [1.01-2.12]; p = 0.046). CONCLUSIONS: Pediatric patients with rheumatic diseases exhibited a wide range of clinical symptoms after COVID-19 infection. The infection generally did not lead to severe outcomes in this study. COVID-19 vaccination was associated with reduced hospitalization risk and expediting the time to negativity for virus. IMPACTS: This manuscript demonstrates a comprehensive analysis of the clinical characteristics and outcomes of COVID-19 infection in pediatric patients with rheumatic diseases in China. It provides critical insights into the specific challenges faced by this vulnerable population and offers practical recommendations for improving patient management during periods of increased infectious risk.

Causal Relationships between Lymphocyte Subsets and Risk of Coronary Artery Disease: A Two-Sample Mendelian Randomization Study.

Background: Currently, the causal relationship between lymphocyte subsets and coronary artery disease (CAD) remains unclear. Therefore, we utilized Mendelian randomization (MR) to assess the association between lymphocyte subsets and CAD. Methods: We performed a two-sample MR analysis using publicly available genome-wide association studies (GWAS) datasets. The primary method of analysis to comprehensively evaluate causal effects was the inverse variance-weighted (IVW) method. The four additional MR approaches were MR-Egger, weighted median, simple mode, and weighted mode. Sensitivity analysis incorporated Cochran's Q and MR-Egger intercept tests to identify residual heterogeneity and potential horizontal pleiotropy, respectively. The MR-PRESSO distortion test was applied to identify potential pleiotropic outliers. Leave-one-out analysis confirmed that no single single-nucleotide polymorphism (SNP) significantly affected the MR estimate. We conducted reverse MR analysis to investigate the impact of variables correlated with outcomes in forward MR analysis. Results: The IVW method revealed a significant positive association between B cell count and CAD (odds ratio (OR) = 1.08 (95% CI: 1.04, 1.11), p = 2.67 × 10-5). A similar association was observed between B cell count and myocardial infarction (MI) (OR = 1.07 (95% CI: 1.03, 1.11), p = 5.69 × 10-4). Sensitivity analyses detected no outliers, heterogeneity, or pleiotropy. The reverse MR analysis was conducted to investigate the impact of CAD and MI on B cell count, and the IVW results showed no statistical significance. Conclusions: Our study suggests that a higher absolute B cell count is linked to an increased risk of CAD and MI.

Discovery of novel fructose-1,6-bisphosphatase inhibitors bearing benzimidazole scaffold using a dual-ligand molecular docking model.

Fructose-1,6-bisphosphatase (FBPase) is an emerging target in gluconeogenesis, inhibitors of which would be an effective treatment for elevated fasting blood glucose in patients with type 2 diabetes. Based on the lead compound G-1 (FBPase 10 µM inhibition = 64.3 %) and according to the X-ray crystal structure of FBPase, we designed and validated an innovative molecular docking method based on the dual-ligand model to explore the interactions between two identical ligands in neighboring targets. Based on the dual-ligand molecular docking model, a novel compound 45 bearing a benzimidazole scaffold was identified to show increased inhibitory activity against FBPase (IC50, 2.08 µM). An oral pyruvate tolerance test in ICR mice showed that 45 had a potent inhibitory effect on gluconeogenesis similar to that of metformin when administered as a single dose in vivo. Compound 45 did not inhibit the common subtypes of the human cytochrome P450 system, indicating that it may have a reduced propensity for drug-drug interactions. The findings of this study may pave the way for further development of FBPase inhibitors with novel structural features, improved activity, and good druggability.

Tricyclic Benzo[1,3]oxazinyloxazolidinones as Potent Antibacterial Agents against Drug-Resistant Pathogens.

Herein, we developed a series of benzo[1,3]oxazinyloxazolidinones as potent antibacterial agents. Some of the compounds exhibited potent antibacterial activity against a range of clinical drug-resistant pathogens, including Mtb, MRSA, MRSE, VISA, and VRE. Notably, compound 16d inhibited protein synthesis and displayed potent activity against linezolid-resistant Enterococcus faecalis. Although 16d showed cross-resistance to linezolid-resistant MRSA, the frequency of resistance development of MRSA against 16d was lower compared to that of linezolid. Additionally, 16d exhibited excellent pharmacokinetic properties and superior in vivo efficacy compared to linezolid. Furthermore, compound 16d modulated cytokine levels and ameliorated histopathological changes in major organs of bacterially infected mice. Hoechst-PI double staining and scanning electron microscopy analyses revealed that 16d exhibited some similarities with linezolid in its effects while also demonstrating a distinct mechanism characterized by cell membrane damage. Moreover, 16d significantly disrupted the MRSA biofilms. The antibacterial agent 16d represents a promising candidate for the treatment of serious infections caused by drug-resistant bacteria.

The predictive value of coronary computed tomography angiography-derived fractional flow reserve for perioperative cardiac events in lung cancer surgery.

PURPOSE: As a non-invasive coronary functional examination, coronary computed tomography angiography (CCTA)-derived fractional flow reserve (CT-FFR) showed predictive value in several non-cardiac surgeries. This study aimed to evaluate the predictive value of CT-FFR in lung cancer surgery. METHOD: We retrospectively collected 227 patients from January 2017 to June 2022 and used machine learning-based CT-FFR to evaluate the stable coronary artery disease (CAD) patients undergoing lung cancer surgery. The major adverse cardiac event (MACE) was defined as perioperative myocardial injury (PMI), myocardial infarction, heart failure, atrial and ventricular arrhythmia with hemodynamic disorder, cardiogenic shock and cardiac death. The multivariate logistic regression analysis was performed to identify risk factors for MACE and PMI. The discriminative capacity, goodness-of-fit, and reclassification improvement of prediction model were determined before and after the addition of CT-FFR≤0.8. RESULTS: The incidence of MACE was 20.7 % and PMI was 15.9 %. CT-FFR significantly outperformed CCTA in terms of accuracy for predicting MACE (0.737 vs 0.524). In the multivariate regression analysis, CT-FFR≤0.8 was an independent risk factor for both MACE [OR=10.77 (4.637, 25.016), P<0.001] and PMI [OR=8.255 (3.372, 20.207), P<0.001]. Additionally, we found that the performance of prediction model for both MACE and PMI improved after the addition of CT-FFR. CONCLUSIONS: CT-FFR can be used to assess the risk of perioperative MACE and PMI in patients with stable CAD undergoing lung cancer surgery. It adds prognostic information in the cardiac evaluation of patients undergoing lung cancer surgery.

Radiomics Analysis of CTO Plaques for Predicting Successful Guidewire Crossing Within 30 Minutes of PCI.

BACKGROUND: Coronary computed tomography angiography provides valuable information for evaluating the difficulty of chronic total occlusion (CTO) percutaneous coronary intervention. This study aimed to investigate the value of CTO plaque characteristics derived from radiomics analysis for predicting the difficulty of percutaneous coronary intervention. METHODS: Patients with CTO were retrospectively enrolled from a hospital as training and internal test sets and from the other 2 territory hospitals as external test sets. Radiomics characteristics were extracted from the CTO segment on coronary computed tomography angiography. Radiomics and combined models were developed to predict successful guidewire crossing within 30 minutes (guidewire success) of CTO percutaneous coronary intervention. Subgroup analysis was conducted to investigate the influence of potential risk factors on the radiomics model performance. RESULTS: A total of 551 patients (median, 60; interquartile range, 52.00-66.00 years, 460 men) with 565 CTO lesions were finally enrolled. In the training, internal test, and external test sets, 203 of 357, 85 of 149, and 38 of 59 CTO lesions achieved guidewire success, respectively. Six radiomics features were selected for constructing the radiomics model. In the external test set, the area under the receiver operating characteristic curve of the radiomics model was significantly higher than prior prediction models (P<0.05 for all) with the area under the receiver operating characteristic curve, accuracy, sensitivity, and specificity of 0.86, 74.58%, 81.58%, and 61.90%, respectively. The performance of the radiomics model was dependent on calcification, CTO location, adjacent branch(es), and operator caseload. CONCLUSIONS: CTO characteristics revealed by radiomics analysis can be used as effective imaging biomarkers for predicting guidewire success. However, the performance of the radiomics model depends on anatomic and operator factors.

Association between complementary anthropometric measures and all-cause mortality risk in adults: NHANES 2011-2016.

BACKGROUND: Previous studies using a single obesity indicator cannot fully assess the association between body shape and mortality. We aimed to investigate the association between complementary anthropometric measures and all-cause mortality risk. METHODS: We combined National Health and Nutrition Examination Survey (NHANES) data from 2011 to 2016 with mortality data up to December 31, 2019. After excluding individuals with cancer at baseline, 13,728 participants were included. Cox regression models and restricted cubic spline (RCS) analyses were used to explore the association between general obesity, central obesity, and peripheral fat indicators and all-cause mortality risk. RESULTS: A total of 743 deaths occurred over a median follow-up of 5.83 years. In multivariable-adjusted Cox models, each 10-cm increase in waist circumference (WC), each 0.1-unit increase in waist-to-height ratio (WHtR), and each 0.01-unit increase in A Body Shape Index (ABSI) were associated with 20% (HR = 1.20; 95% CI: 1.02-1.41), 119% (2.19; 1.70-2.83), and 5% (1.05; 1.03-1.08) increased all-cause mortality risk, respectively. Conversely, each 1-cm increment in mid-arm circumference (MAC) was associated with 13% (HR = 0.87; 95% CI: 0.83-0.92) decreased mortality risk. Compared with normal group (body mass index (BMI): 18.5- <25.0), underweight (HR = 1.97; 95% CI: 1.12-3.45) and grade 3 obesity (1.37; 1.04-1.81) were at higher mortality risk. However, after further adjustment for WC, the effect of grade 3 obesity disappeared, and the RCS analyses for BMI changed from a J-shaped (P < 0.05 for non-linearity test) to a negative association (P < 0.01). CONCLUSIONS: Underweight, grade 3 obesity, and central obesity were associated with an increased mortality risk, while peripheral fat was inversely associated with mortality.

Distribution of EGFR fusions in 35,023 Chinese patients with solid tumors-the frequency, fusion partners and clinical outcome.

BACKGROUND: Epidermal growth factor receptor (EGFR) fusions are rare but potentially actionable oncogenic drivers across multiple solid tumors. However, the distribution and molecular characteristics of EGFR fusions in Chinese patients with solid malignancies have not been explored. METHODS: Panel-based next-generation sequencing (NGS) data of 35,023 patients with various types of solid tumors was collected and analyzed from the Simcere Diagnostics (Nanjing, China) database. A 9563-patient cohort was derived from The Cancer Genome Atlas (TCGA) to explore the relationship between EGFR fusion status and overall survival (OS). RESULTS: In this study, prevalence of functional EGFR fusions was 0.303% (106/35,023) in total across solid tumors, which occur more commonly in gastroesophageal junction cancer (1/61, 1.613%), followed by medulloblastoma (1/66, 1.515%) and glioma (33/2409, 1.370%). Analysis showed a prevalence for fusion partners in different tumor types. The top 3 co-mutant genes with EGFR fusion were TP53 (mutation frequency, MF: 65%), BRCA2 (MF: 43%), and ALK (MF: 41%). Furthermore, patients in the EGFR fusion group had a significantly shorter OS than those in the non-EGFR fusion group (p < 0.0001) in the TCGA cohort, suggesting that EGFR fusion might be a high-risk factor for poor prognosis. CONCLUSIONS: Our study is the first retrospective analysis of EGFR fusions in a large-scale solid tumor population, which may provide a reference for future EGFR-TKI clinical trials with EGFR fusions.

Associations between oral health and depression and anxiety: A cross-sectional and prospective cohort study from the UK Biobank.

AIM: To investigate the associations between oral health and depression, anxiety and their comorbidity in the UK Biobank cohort. MATERIALS AND METHODS: Oral health problems were self-reported at baseline. Symptoms of depression and anxiety were assessed using the Mental Health Questionnaire (PHQ-4) in a cross-sectional study. In the cohort study, diagnoses of depression and anxiety disorders were based on hospital records. Logistic regression and Cox regression models were used to analyse the association between oral health and depression/anxiety. RESULTS: A total of 305,188 participants were included in the cross-sectional study, and multivariate analysis showed that periodontal disease was associated with depression and/or anxiety (odds ratio [OR]: 1.79, 95% confidence interval [CI]: 1.73-1.86). In the prospective cohort study involving 264,706 participants, periodontal disease was significantly associated with an increased risk of depression and/or anxiety (hazard ratio [HR]: 1.14, 95% CI: 1.10-1.19), depression (HR: 1.19, 95% CI: 1.13-1.25) and anxiety (HR: 1.13, 95% CI: 1.07-1.19). Periodontal disease was also significantly associated with comorbid depression and anxiety (HR: 1.27, 95% CI: 1.16-1.38). Multiple mediation analysis using baseline inflammatory factors showed that white blood cell count and C-reactive protein explained 3.07% and 3.15% of the association between periodontal disease and depression and anxiety, respectively. However, the results of longitudinal multiple mediation analysis of inflammatory factors at first follow-up (N = 10,673) were not significant. CONCLUSIONS: Periodontal disease was found to be consistently associated with an increased risk of depression, anxiety and their comorbidity.

Long noncoding RNA UCA1 promotes the chondrogenic differentiation of human bone marrow mesenchymal stem cells via regulating PARP1 ubiquitination.

Bone marrow mesenchymal stem cells (BMSCs) possess the potential to differentiate into cartilage cells. Long noncoding RNA (lncRNAs) urothelial carcinoma associated 1 (UCA1) has been confirmed to improve the chondrogenic differentiation of marrow mesenchymal stem cells (MSCs). Herein, we further investigated the effects and underlying mechanisms of these processes. The expression of UCA1 was positively associated with chondrogenic differentiation and the knockdown of UCA1 has been shown to attenuate the expression of chondrogenic markers. RNA pull-down assay and RNA immunoprecipitation showed that UCA1 could directly bind to PARP1 protein. UCA1 could improve PARP1 protein via facilitating USP9X-mediated PARP1 deubiquitination. Then these processes stimulated the NF-κB signaling pathway. In addition, PARP1 was declined in UCA1 knockdown cells, and silencing of PARP1 could diminish the increasing effects of UCA1 on the chondrogenic differentiation from MSCs and signaling pathway activation. Collectively, these outcomes suggest that UCA1 could act as a mediator of PARP1 protein ubiquitination and develop the chondrogenic differentiation of MSCs.

Associations of vegetable and fruit intake, physical activity, and school bullying with depressive symptoms in secondary school students: the mediating role of internet addiction.

BACKGROUND: Few studies have simultaneously focused on the associations of vegetable and fruit intake, physical activity, school bullying, and Internet addiction (IA) with depressive symptoms. This study aimed to explore the direct and indirect effects of the above factors on depressive symptoms in adolescents by constructing a structural equation model (SEM). METHODS: This study was conducted in Qingdao from September to November 2021. A total of 6195 secondary school students aged 10-19 years were included in the analysis. Information on all variables was assessed using a self-administered questionnaire. An SEM was constructed with depressive symptoms as the endogenous latent variable, IA as the mediating variable, and vegetable and fruit intake, physical activity, and school bullying as the exogenous latent variables. The standardized path coefficients (ß) were the direct effects between the latent variables, and the indirect effects were obtained by the product of direct effects between relevant latent variables. RESULTS: The median value with the interquartile range of depressive symptom scores was 7 (3,12). Vegetable and fruit intake (ß=-0.100, P<0.001) and physical activity (ß=-0.140, P<0.001) were directly negatively related to depressive symptoms. While school bullying (ß=0.138, P<0.001) and IA (ß=0.452, P<0.001) were directly positively related to depressive symptoms. IA had the greatest impact on depressive symptoms. Vegetable and fruit intake, physical activity, and school bullying could not only directly affect depressive symptoms, but also indirectly affect depressive symptoms through the mediating effect of IA, the indirect effects and 95% confidence intervals (CIs) were -0.028 (-0.051, -0.007), -0.114 (-0.148, -0.089) and 0.095 (0.060, 0.157), respectively. The results of the multi-group analysis showed that the SEM we constructed still fit in boy and girl groups. CONCLUSIONS: The results indicated that vegetable and fruit intake, physical activity, school bullying, and IA had a significant direct impact on depressive symptoms, among which IA had the greatest impact. In addition, both vegetable and fruit intake, school bullying, and physical activity indirectly affected depressive symptoms through the mediating effect of IA. The impact of IA on depressive symptoms should be given extra attention by schools and parents. This study provides a scientific and effective basis for the prevention and control of adolescent depressive symptoms.

Association between BCL11B gene polymorphisms and age-related hearing loss in the elderly: A case-control study in Qingdao, China.

Age-related hearing loss is a complex disease caused by a combination of genetic and environmental factors, and a study have conducted animal experiments to explore the association between BCL11B heterozygosity and age-related hearing loss. The present study used established genetic models to examine the association between BCL11B gene polymorphisms and age-related hearing loss. A total of 410 older adults from two communities in Qingdao, China, participated in this study. The case group comprised individuals aged ≥ 60 years with age-related hearing loss, and the control group comprised individuals without age-related hearing loss from the same communities. The groups were matched 1:1 for age and sex. The individual characteristics of the participants were analyzed descriptively using the Mann-Whitney U test and the chi-square test. To explore the association between BCL11B gene polymorphisms and age-related hearing loss, conditional logistic regression was performed to construct genetic models for two single-nucleotide-polymorphisms (SNPs) of BCL11B, and haplotype analysis was conducted to construct their haplotype domains. Two SNP sites of the BCL11B gene, four genetic models of rs1152781 (additive, dominant, recessive, and codominant), and five genetic models of rs1152783 (additive, dominant, recessive, codominant, and over dominant) were significantly associated with age-related hearing loss in the models both unadjusted and adjusted for all covariates (P < 0.05). Additionally, a linkage disequilibrium between rs1152781 and rs1152783 was revealed through haplotype analysis. Our study revealed that BCL11B gene polymorphisms were significantly associated with age-related hearing loss.

TrG2P: A transfer-learning-based tool integrating multi-trait data for accurate prediction of crop yield.

Yield prediction is the primary goal of genomic selection (GS)-assisted crop breeding. Because yield is a complex quantitative trait, making predictions from genotypic data is challenging. Transfer learning can produce an effective model for a target task by leveraging knowledge from a different, but related, source domain and is considered a great potential method for improving yield prediction by integrating multi-trait data. However, it has not previously been applied to genotype-to-phenotype prediction owing to the lack of an efficient implementation framework. We therefore developed TrG2P, a transfer-learning-based framework. TrG2P first employs convolutional neural networks (CNN) to train models using non-yield-trait phenotypic and genotypic data, thus obtaining pre-trained models. Subsequently, the convolutional layer parameters from these pre-trained models are transferred to the yield prediction task, and the fully connected layers are retrained, thus obtaining fine-tuned models. Finally, the convolutional layer and the first fully connected layer of the fine-tuned models are fused, and the last fully connected layer is trained to enhance prediction performance. We applied TrG2P to five sets of genotypic and phenotypic data from maize (Zea mays), rice (Oryza sativa), and wheat (Triticum aestivum) and compared its model precision to that of seven other popular GS tools: ridge regression best linear unbiased prediction (rrBLUP), random forest, support vector regression, light gradient boosting machine (LightGBM), CNN, DeepGS, and deep neural network for genomic prediction (DNNGP). TrG2P improved the accuracy of yield prediction by 39.9%, 6.8%, and 1.8% in rice, maize, and wheat, respectively, compared with predictions generated by the best-performing comparison model. Our work therefore demonstrates that transfer learning is an effective strategy for improving yield prediction by integrating information from non-yield-trait data. We attribute its enhanced prediction accuracy to the valuable information available from traits associated with yield and to training dataset augmentation. The Python implementation of TrG2P is available at https://github.com/lijinlong1991/TrG2P. The web-based tool is available at http://trg2p.ebreed.cn:81.

The impact of sunlight exposure on brain structural markers in the UK Biobank.

Sunlight is closely intertwined with daily life. It remains unclear whether there are associations between sunlight exposure and brain structural markers. General linear regression analysis was used to compare the differences in brain structural markers among different sunlight exposure time groups. Stratification analyses were performed based on sex, age, and diseases (hypertension, stroke, diabetes). Restricted cubic spline was performed to examine the dose-response relationship between natural sunlight exposure and brain structural markers, with further stratification by season. A negative association of sunlight exposure time with brain structural markers was found in the upper tertile compared to the lower tertile. Prolonged natural sunlight exposure was associated with the volumes of total brain (ß: - 0.051, P < 0.001), white matter (ß: - 0.031, P = 0.023), gray matter (ß: - 0.067, P < 0.001), and white matter hyperintensities (ß: 0.059, P < 0.001). These associations were more pronounced in males and individuals under the age of 60. The results of the restricted cubic spline analysis showed a nonlinear relationship between sunlight exposure and brain structural markers, with the direction changing around 2 h of sunlight exposure. This study demonstrates that prolonged exposure to natural sunlight is associated with brain structural markers change.

The role of the immunoproteasome in cardiovascular disease.

The ubiquitinproteasome system (UPS) is the main mechanism responsible for the intracellular degradation of misfolded or damaged proteins. Under inflammatory conditions, the immunoproteasome, an isoform of the proteasome, can be induced, enhancing the antigen-presenting function of the UPS. Furthermore, the immunoproteasome also serves nonimmune functions, such as maintaining protein homeostasis and regulating signalling pathways, and is involved in the pathophysiological processes of various cardiovascular diseases (CVDs). This review aims to provide a comprehensive summary of the current research on the involvement of the immunoproteasome in cardiovascular diseases, with the ultimate goal of identifying novel strategies for the treatment of these conditions.

An epigenome-wide association study of waist circumference in Chinese monozygotic twins.

OBJECTIVES: Central obesity poses significant health risks because it increases susceptibility to multiple chronic diseases. Epigenetic features such as DNA methylation may be associated with specific obesity traits, which could help us understand how genetic and environmental factors interact to influence the development of obesity. This study aims to identify DNA methylation sites associated with the waist circumference (WC) in Northern Han Chinese population, and to elucidate potential causal relationships. METHODS: A total of 59 pairs of WC discordant monozygotic twins (ΔWC >0) were selected from the Qingdao Twin Registry in China. Generalized estimated equation model was employed to estimate the methylation levels of CpG sites on WC. Causal relationships between methylation and WC were assessed through the examination of family confounding factors using FAmiliaL CONfounding (ICE FALCON). Additionally, the findings of the epigenome-wide analysis were corroborated in the validation stage. RESULTS: We identified 26 CpG sites with differential methylation reached false discovery rate (FDR) < 0.05 and 22 differentially methylated regions (slk-corrected p < 0.05) strongly linked to WC. These findings provided annotations for 26 genes, with notable emphasis on MMP17, ITGA11, COL23A1, TFPI, A2ML1-AS1, MRGPRE, C2orf82, and NINJ2. ICE FALCON analysis indicated the DNA methylation of ITGA11 and TFPI had a causal effect on WC and vice versa (p < 0.05). Subsequent validation analysis successfully replicated 10 (p < 0.05) out of the 26 identified sites. CONCLUSIONS: Our research has ascertained an association between specific epigenetic variations and WC in the Northern Han Chinese population. These DNA methylation features can offer fresh insights into the epigenetic regulation of obesity and WC as well as hints to plausible biological mechanisms.

The Association between Dietary Protein Intake and Sources and the Rate of Longitudinal Changes in Brain Structure.

Few studies have examined dietary protein intake and sources, in combination with longitudinal changes in brain structure markers. Our study aimed to examine the association between dietary protein intake and different sources of dietary protein, with the longitudinal rate of change in brain structural markers. A total of 2723 and 2679 participants from the UK Biobank were separately included in the analysis. The relative and absolute amounts of dietary protein intake were calculated using a 24 h dietary recall questionnaire. The longitudinal change rates of brain structural biomarkers were computed using two waves of brain imaging data. The average interval between the assessments was three years. We utilized multiple linear regression to examine the association between dietary protein and different sources and the longitudinal changes in brain structural biomarkers. Restrictive cubic splines were used to explore nonlinear relationships, and stratified and sensitivity analyses were conducted. Increasing the proportion of animal protein in dietary protein intake was associated with a slower reduction in the total hippocampus volume (THV, ß: 0.02524, p < 0.05), left hippocampus volume (LHV, ß: 0.02435, p < 0.01) and right hippocampus volume (RHV, ß: 0.02544, p < 0.05). A higher intake of animal protein relative to plant protein was linked to a lower atrophy rate in the THV (ß: 0.01249, p < 0.05) and LHV (ß: 0.01173, p < 0.05) and RHV (ß: 0.01193, p < 0.05). Individuals with a higher intake of seafood exhibited a higher longitudinal rate of change in the HV compared to those that did not consume seafood (THV, ß: 0.004514; p < 0.05; RHV, ß: 0.005527, p < 0.05). In the subgroup and sensitivity analyses, there were no significant alterations. A moderate increase in an individual's intake and the proportion of animal protein in their diet, especially from seafood, is associated with a lower atrophy rate in the hippocampus volume.

Mediation role of DNA methylation in association between handgrip strength and cognitive function in monozygotic twins.

Handgrip strength is a crucial indicator to monitor the change of cognitive function over time, but its mechanism still needs to be further explored. We sampled 59 monozygotic twin pairs to explore the potential mediating effect of DNA methylation (DNAm) on the association between handgrip strength and cognitive function. The initial step was the implementation of an epigenome-wide association analysis (EWAS) in the study participants, with the aim of identifying DNAm variations that are associated with handgrip strength. Following that, we conducted an assessment of the mediated effect of DNAm by the use of mediation analysis. In order to do an ontology enrichment study for CpGs, the GREAT program was used. There was a significant positive association between handgrip strength and cognitive function (ß = 0.194, P < 0.001). The association between handgrip strength and DNAm of 124 CpGs was found to be statistically significant at a significance level of P < 1 × 10-4. Fifteen differentially methylated regions (DMRs) related to handgrip strength were found in genes such as SNTG2, KLB, CDH11, and PANX2. Of the 124 CpGs, 4 within KRBA1, and TRAK1 mediated the association between handgrip strength and cognitive function: each 1 kg increase in handgrip strength was associated with a potential decrease of 0.050 points in cognitive function scores, mediated by modifications in DNAm. The parallel mediating effect of these 4 CpGs was -0.081. The presence of DNAm variation associated with handgrip strength may play a mediated role in the association between handgrip strength and cognitive function.

Are children with IgA nephropathy different from adult patients?

BACKGROUND: Previously, several studies have indicated that pediatric IgA nephropathy (IgAN) might be different from adult IgAN, and treatment strategies might be also different between pediatric IgAN and adult IgAN. METHODS: We analyzed two prospective cohorts established by pediatric and adult nephrologists, respectively. A comprehensive analysis was performed investigating the difference in clinical and pathological characteristics, treatment, and prognosis between children and adults with IgAN. RESULTS: A total of 1015 children and 1911 adults with IgAN were eligible for analysis. More frequent gross hematuria (88% vs. 20%, p < 0.0001) and higher proteinuria (1.8 vs. 1.3 g/d, p < 0.0001) were seen in children compared to adults. In comparison, the estimated glomerular filtration rate (eGFR) was lower in adults (80.4 vs. 163 ml/min/1.73 m2, p < 0.0001). Hypertension was more prevalent in adult patients. Pathologically, a higher proportion of M1 was revealed (62% vs. 39%, p < 0.0001) in children than in adults. S1 (62% vs. 28%, p < 0.0001) and T1-2 (34% vs. 8%, p < 0.0001) were more frequent in adults. Adjusted by proteinuria, eGFR, and hypertension, children were more likely to be treated with glucocorticoids than adults (87% vs. 45%, p < 0.0001). After propensity score matching, in IgAN with proteinuria > 1 g/d, children treated with steroids were 1.87 (95% CI 1.16-3.02, p = 0.01) times more likely to reach complete remission of proteinuria compared with adults treated with steroids. CONCLUSIONS: Children present significantly differently from adults with IgAN in clinical and pathological manifestations and disease progression. Steroid response might be better in children.

Epigenome-wide association study identifies DNA methylation loci associated with handgrip strength in Chinese monozygotic twins.

Background: The decline in muscle strength and function with aging is well recognized, but remains poorly characterized at the molecular level. Here, we report the epigenetic relationship between genome-wide DNA methylation and handgrip strength (HGS) among Chinese monozygotic (MZ) twins. Methods: DNA methylation (DNAm) profiling was conducted in whole blood samples through Reduced Representation Bisulfite Sequencing method. Generalized estimating equation was applied to regress the DNAm of each CpG with HGS. The Genomic Regions Enrichment of Annotations Tool was used to perform enrichment analysis. Differentially methylated regions (DMRs) were detected using comb-p. Causal inference was performed using Inference about Causation through Examination of Familial Confounding method. Finally, we validated candidate CpGs in community residents. Results: We identified 25 CpGs reaching genome-wide significance level. These CpGs located in 9 genes, especially FBLN1, RXRA, and ABHD14B. Many enriched terms highlighted calcium channels, neuromuscular junctions, and skeletal muscle organ development. We identified 21 DMRs of HGS, with several DMRs within FBLN1, SLC30A8, CST3, and SOCS3. Causal inference indicated that the DNAm of 16 top CpGs within FBLN1, RXRA, ABHD14B, MFSD6, and TYW1B might influence HGS, while HGS influenced DNAm at two CpGs within FBLN1 and RXRA. In validation analysis, methylation levels of six CpGs mapped to FLBN1 and one CpG mapped to ABHD14B were negatively associated with HGS weakness in community population. Conclusion: Our study identified multiple DNAm variants potentially related to HGS, especially CpGs within FBLN1 and ABHD14B. These findings provide new clues to the epigenetic modification underlying muscle strength decline.