Explore the vast range of titles available.

Alzheimer’s disease and Parkinson’s disease are the two most common, progressive central neurodegenerative diseases affecting the population over the age of 60 years. Apart from treatments that temporarily improve symptoms, there is no medicine currently available to inhibit or reverse the progression of Alzheimer’s disease and Parkinson’s disease. In traditional Chinese medicine, the root of Scutellaria baicalensis Georgi is a classic compatible component in the decoction of herbal medicine used for treating central nervous system diseases. Modern pharmacokinetic studies have confirmed that baicalein (5,6,7-trihydroxyflavone) is a major bioactive flavone constituent root of S. baicalensis Georgi . Studies showed that baicalein possesses a range of key pharmacological properties, such as reducing oxidative stress, anti-inflammatory properties, inhibiting aggregation of disease-specific amyloid proteins, inhibiting excitotoxicity, stimulating neurogenesis and differentiation action, and anti-apoptosis effects. Based on these properties, baicalein shows therapeutic potential for Alzheimer’s disease and Parkinson’s disease. In this review, we summarize the pharmacological protective actions of baicalein that make it suitable for the treatment of Alzheimer’s disease and Parkinson’s disease, and discuss the potential mechanisms underlying the effects.

Insulin resistance (IR), the hallmark of type 2 diabetes, may be under epigenetic control. This study examines the association between global DNA methylation and IR using 84 monozygotic twin pairs. IR was estimated using homeostasis model assessment (HOMA). Global DNA methylation of Alu repeats in peripheral blood leukocytes was quantified by bisulfite pyrosequencing. The association between global DNA methylation and IR was examined using generalized estimating equation (GEE) and within-twin pair analyses, adjusting for potential confounders. Results show that methylation levels at all four CpG sites were individually associated with IR by GEE (all false discovery rate-adjusted P values≤0.026). A 10% increase in mean Alu methylation was associated with an increase of 4.55 units (95% CI 2.38-6.73) in HOMA. Intrapair difference in IR was significantly associated with intrapair difference in global methylation level. A 10% increase in the difference in mean Alu methylation was associated with an increase of 4.54 units (0.34-8.71; P=0.036) in the difference in HOMA. Confirmation of the results by intrapair analyses suggests that genetic factors do not confound the association between global DNA methylation and IR. Exclusion of twins taking diabetes medication (n=17) did not change our results.

DNA methylation plays an important role in major depressive disorder (MDD), but the specific genes and genomic regions associated with MDD remain largely unknown. Here we conducted genome-wide profiling of DNA methylation (Infinium MethylationEPIC BeadChip) and gene expression (RNA-seq) in peripheral blood monocytes from 79 monozygotic twin pairs (mean age 38.2 ± 15.6 years) discordant on lifetime history of MDD to identify differentially methylated regions (DMRs) and differentially expressed genes (DEGs) associated with MDD, followed by replication in brain tissue samples. Integrative DNA methylome and transcriptome analysis and network analysis was performed to identify potential functional epigenetic determinants for MDD. We identified 39 DMRs and 30 DEGs associated with lifetime history of MDD. Some genes were replicated in postmortem brain tissue. Integrative DNA methylome and transcriptome analysis revealed both negative and positive correlations between DNA methylation and gene expression, but the correlation pattern varies greatly by genomic locations. Network analysis revealed distinct gene modules enriched in signaling pathways related to stress responses, neuron apoptosis, insulin receptor signaling, mTOR signaling, and nerve growth factor receptor signaling, suggesting potential functional relevance to MDD. These results demonstrated that altered DNA methylation and gene expression in peripheral blood monocytes are associated with MDD. Our results highlight the utility of using peripheral blood epigenetic markers and demonstrate that a monozygotic discordant co-twin control design can aid in the discovery of novel genes associated with MDD. If validated, the newly identified genes may serve as novel biomarkers or druggable targets for MDD and related disorders.

Research is needed to identify lipidomic markers associated with habitual physical activity (PA) among American Indian adults and examine their associations with diabetes risk. We performed LC-MS to quantify 1,542 fasting plasma lipids from 1,779 participants at baseline and 1,406 at follow-up (about 5.5-year apart). PA was objectively measured using pedometers at both visits. We identified lipids associated with PA using mixed-effects linear regression, adjusting for BMI and other covariates. Logistic and linear regression was used to evaluate the associations of PA-related lipids with incident diabetes/prediabetes and glucose/insulin metrics. Mediation role of lipids was examined. Among 1,047 participants with normal fasting glucose at baseline, 68 developed diabetes and 178 developed prediabetes. PA was associated with 127 lipids (q < 0.05), including positive associations with glycerophospholipids and inverse associations with triacylglycerols. Eighteen of the 36 annotated lipids were associated with incident diabetes/prediabetes, with 16 linked to lower PA and higher diabetes risk. Most PA-related lipids were also associated with changes in glucose/insulin metrics, and 28 lipids mediated the positive association between PA and insulin sensitivity. Overall, we identified lipidomic signatures of PA among American Indians. These lipids were associated with diabetes risk, potentially through mediating the protective effects of PA on insulin sensitivity.

Cell type-specific analysis is crucial for uncovering biological insights hidden in bulk tissue data, yet single-cell or single-nuclei approaches are often cost-prohibitive for large samples. We introduce EPIC-unmix, a novel two-step empirical Bayesian method combining reference single-cell/single-nuclei and bulk RNA-seq data to improve cell type-specific inference, accounting for the difference between reference and target datasets. Under comprehensive simulations, we demonstrate that EPIC-unmix outperforms alternative methods in accuracy. Applied to Alzheimer’s disease brain RNA-seq data, EPIC-unmix identifies multiple differentially expressed genes in a cell type-specific manner, and empowers cell type-specific eQTL analysis.

Although fMRI has been widely used in the field of acupuncture. However, the literature analysis in this field still has significant differences. This study summarizes the current status of functional magnetic resonance imaging (fMRI) in the field of acupuncture and moxibustion and predicts its future trends through Web of Science bibliometric analysis. This study uses \"fMRI\" and \"acupuncture\" as keywords to search for literature related to functional magnetic resonance imaging (fMRI) in acupuncture research in the Web of Science Core Collection database from January 1, 2004, to April 30, 2024. Visualization analyses were conducted using Citespace (version 6.3 R1) and VOSviewer (version 1.6.20). Citespace was employed to analyze annual publications, countries, institutions, keywords, and co-cited references. VOSviewer was used to analyze authors and co-cited authors, as well as journals and co-cited journals. From 2004 to 2024, a total of 967 publications were retrieved, of which 557 were included after screening. Despite annual fluctuations, the overall trend shows an increase. China and the Chinese Academy of Sciences are the countries and institutions with the highest number of publications, with Tian, J being the author with the most publications, and Kong, J having the highest Co-citation frequency. The article by Dhond, RP, published in 2008, has the highest Co-citation frequency among the co-cited literature. Evidence-based Complementary and Alternative Medicine is the journal with the most publications, while Neuroimage is the co-cited journal with the highest citation frequency. Keyword co-occurrence and burst reveal the main research hotspots, including the diversity of intervention methods, cortical activation, mechanisms related to pain-associated diseases, and brain-related diseases. Keyword burst detection reflects emerging trends, including meta-analysis and systematic reviews, the relationship between ischemic stroke and women, and the connection between mild cognitive impairment and prevention. This study employs bibliometric methods to explore the current status, research hotspots, and frontier issues regarding the application of functional magnetic resonance imaging (fMRI) technology in the field of acupuncture, providing new perspectives and directions for acupuncture fMRI research.

5-hydroxymethylcytosine, also known as the sixth DNA base of the genome, plays an important role in brain aging and neurological disorders such as Alzheimer’s disease. However, little is known about its genome-wide distribution and its association with Alzheimer’s disease pathology. Here, we report a genome-wide profiling of 5-hydroxymethylcytosine in 1079 autopsied brains (dorsolateral prefrontal cortex) of older individuals and assess its association with multiple measures of Alzheimer’s disease pathologies, including pathological diagnosis of Alzheimer’s disease, amyloid-β load, and PHFtau tangle density. Of 197,765 5-hydroxymethylcytosine regions detected, we identified 2821 differentially hydroxymethylated regions associated with Alzheimer’s disease neuropathology after controlling for multiple testing and covariates. Many differentially hydroxymethylated regions are located within known Alzheimer’s disease loci, such as RIN3, PLCG2, ITGA2B , and USP6NL . Integrative multi-omics analyses support a potential mechanistic role of 5-hydroxymethylcytosine alterations in Alzheimer’s disease. Our study presents a large-scale genome-wide atlas of 5-hydroxymethylcytosine in Alzheimer’s brain and offers insight into the mechanism underlying Alzheimer’s disease pathogenesis. 5-hydroxymethylcytosine, the sixth DNA base, plays a key role in brain aging and Alzheimer’s disease. Here, the authors study over 1000 deceased brains to identify genes with 5-hydroxymethylcytosine alterations linked to Alzheimer’s pathology.

This study aims to develop an advanced mathematic model and investigate when and how will the COVID-19 in the US be evolved to endemic. We employed a nonlinear ordinary differential equations-based model to simulate COVID-19 transmission dynamics, factoring in vaccination efforts. Multi-stability analysis was performed on daily new infection data from January 12, 2021 to December 12, 2022 across 50 states in the US. Key indices such as eigenvalues and the basic reproduction number were utilized to evaluate stability and investigate how the pandemic COVD-19 will evolve to endemic in the US. The transmissional, recovery, vaccination rates, vaccination effectiveness, eigenvalues and reproduction numbers ( R 0 and R 0 end ) in the endemic equilibrium point were estimated. The stability attractor regions for these parameters were identified and ranked. Our multi-stability analysis revealed that while the endemic equilibrium points in the 50 states remain unstable, there is a significant trend towards stable endemicity in the US. The study's stability analysis, coupled with observed epidemiological waves in the US, suggested that the COVID-19 pandemic may not conclude with the virus's eradication. Nevertheless, the virus is gradually becoming endemic. Effectively strategizing vaccine distribution is pivotal for this transition.

Fear of disease progression (FoP) is a multidimensional concept that refers to the fear or worry about disease progress. Little is known about the distinct FoP profiles and their determinants in culturally specific contexts, especially among hematologic malignancies (HM) patients in China. This study aimed to identify heterogeneous profiles of FoP and their associated predictors among Chinese patients with HM. A convenience sample of patients suffering from HM were enrolled from March 2023 to February 2024. To gather multidimensional data from the Fear of Progression Questionnaire-Short Form (FoP-Q-SF), the Brief Illness Perception Questionnaire (BIPQ), the Hospital Anxiety and Depression Scale (HADS), the Family Hardiness Index (FHI), and the EuroQol-Visual Analogue Scale (EQ-VAS), we performed a questionnaire-based cross-sectional study on 455 survivors with HM. The statistical method included latent profile analysis (LPA) and multivariate logistic regression. Three latent profiles of FoP were found: the low-risk fear group (20.88%), the moderate-risk fear group (54.73%), and the high-risk fear group (24.49%). Patients with higher levels of illness perception, anxiety, and depression were more likely to report higher levels of FoP. The study revealed that female gender (OR 2.295-2.577), age > 65 years (OR 4.140-9.363), lower education (OR 0.270-0.365), and lymphoma diagnosis (OR 2.95) significantly predicted higher FoP risk (all P < 0.05), while higher income (OR 0.390-0.477, P < 0.05) and greater family resilience showed protective effects. The findings underscore the need for risk-stratified interventions targeting psychosocial vulnerabilities, particularly in elderly and female adults with HM. This study provides empirical evidence supporting the application of precision psycho-oncology approaches in HM survivorship management. It also contributes to the broader comprehension of FoP and highlights the importance of family-centered interventions .

The Patient-Reported Outcomes Measurement Information System 29-item Profile version 2.1 (PROMIS-29 V2.1) is a widely utilized self-reported instrument for assessing health outcomes from the patients’ perspectives. This study aimed to evaluate the psychometric properties of the PROMIS-29 V2.1 Chinese version among patients with hematological malignancy. Conducted as a cross-sectional, this research was approved by the Medical Ethical Committee of the Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College (registration number QTJC2022002-EC-1). We employed convenience sampling to enroll eligible patients with hematological malignancy from four tertiary hospitals in Tianjin, Shandong, Jiangsu, and Anhui province in China between June and August 2023. Participants were asked to complete a socio-demographic information questionnaire, the PROMIS-29 V2.1, and the Functional Assessment of Cancer Therapy-General (FACT-G). We assessed the reliability, ceiling and floor effects, structural, convergent discriminant and criterion validity of the PROMIS-29 V2.1. A total of 354 patients with a mean age of 46.93 years was included in the final analysis. The reliability of the PROMIS-29 V2.1 was affirmed, with Cronbach’s α for the domains ranging from 0.787 to 0.968. Except sleep disturbance, the other six domains had ceiling effects, which were seen on physical function (26.0%), anxiety (37.0%), depression (40.4%), fatigue (18.4%), social roles (18.9%) and pain interference (43.2%), respectively. Criterion validity was supported by significant correlations between the PROMIS-29 V2.1 and FACT-G scores, as determined by the Spearman correlation test (P < 0.001). Confirmatory factor analysis (CFA) indicated a good model fit, with indices of χ 2 /df (2.602), IFI (0.960), and RMSEA (0.067). The Average Variance Extracted (AVE) values for the seven dimensions of PROMIS-29 V2.1, ranging from 0.500 to 0.910, demonstrated satisfactory convergent validity. Discriminant validity was confirmed by ideal √AVE values. The Chinese version of the PROMIS-29 V2.1 profile has been validated as an effective instrument for assessing symptoms and functions in patients with hematological malignancy, underscoring its reliability and applicability in this specific patient group.