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This study evaluated the neuroprotective potential of a combination therapy using liraglutide (LIRA), an antidiabetic agent, and rivastigmine (RIVA), a standard treatment for Alzheimer's disease (AD), in a rat model of aluminum chloride (AlCl₃)-induced AD. Male rats were divided into five groups: control, AD (AlCl₃,75 mg/kg for 60 days), RIVA-treated (1 mg/kg daily for 6 weeks), LIRA-treated (300 µg/kg daily for 6 weeks), and combination-treated (LIRA + RIVA). Cognitive function was assessed behaviorally, and hippocampal biomarkers related to AD-such as microtubule-associated protein Tau (MAPt), Beta-Site Amyloid Precursor Protein Cleaving Enzyme 1 (BACE1), Sequestosome 1 (SQSTM1/p62), and acetylcholinesterase (AChE) activity-were evaluated. Histopathological changes, immunohistochemistry, and transmission electron microscopy were also assessed. The levels of MAPt, BACE1, SQSTM1/p62, and AChE in the LIRA + RIVA group were 11.32 ± 0.467 ng/mL, 1069 ± 80.1 pg/mL, 408.7 ± 19.41 pg/mL, and 0.805 ± 0.342 µmol of acetylthiocholine iodide hydrolyzed/min/g of tissue, respectively. These levels were significant (p < 0.01) when compared with the AlCl Show less

Diabetes, a prevalent chronic disease known for its complications such as cardiovascular issues, eye damage, and neuropathy, has increasingly been linked to an elevated risk of Alzheimer's disease and cognitive impairment. Individuals with diabetes are approximately twice as likely to experience cognitive dysfunction compared to the general population. This heightened risk is potentially mediated by factors such as hypoglycemic episodes, which can negatively impact brain function, particularly the hippocampus, a key region for memory. Furthermore, shared molecular and cellular characteristics between diabetes and Alzheimer's, such as the role of insulin in amyloid plaque formation, suggest a direct link between insulin resistance in the brain and the development of Alzheimer's-related pathology. This study investigates the potential of two commonly prescribed diabetes medications, Show less

Alzheimer's disease (AD) is the most common cause of dementia, characterized by progressive cognitive decline and neuropathological hallmarks, including amyloid-β (Aβ) plaques, neurofibrillary tangles (NFTs), and neurodegeneration. Since the amyloid cascade hypothesis was proposed, Aβ has remained a central therapeutic target, with interventions aiming to reduce Aβ production, aggregation, or downstream toxicity. This review first outlines the historical development of the Aβ hypothesis and the two major APP processing pathways (α-cleavage and β-cleavage), highlighting the role of biomarkers in early diagnosis, patient stratification, and regulatory approval. We then summarize the development and clinical outcomes of anti-Aβ small-molecule drugs, including β-secretase inhibitors, γ-secretase modulators, Aβ aggregation inhibitors, receptor/synapse modulators, and metabolic or antioxidant modalities. We further review the progression of biologic therapies, with a particular focus on monoclonal antibodies, vaccines, and emerging gene-silencing strategies, such as small interfering RNA (siRNA) and antisense oligonucleotides. Finally, we discuss future perspectives, including next-generation biologics, multi-target approaches, optimized delivery platforms, and early-prevention strategies. Collectively, these efforts underscore both the challenges and opportunities in translating anti-Aβ therapies into meaningful clinical benefits for patients with AD. Show less

Alzheimer's disease (AD) is a progressive neurodegenerative disorder and the leading cause of dementia, with current therapies offering only limited symptomatic relief and lacking disease-modifying efficacy. Addressing this critical therapeutic gap, natural multi-target compounds like mulberroside A (MsA)-a bioactive glycoside from Show less

To investigate the role of lncRNA BACE1-AS in neuronal injury and neurological deficits after ischemic stroke and explore its underlying molecular mechanism. MCAO rat model and OGD/R cell model were established. BACE1-AS expression was detected by RT-qPCR. Neurological function was evaluated by mNSS and MWM test. Inflammatory factors (TNF-α, IL-6, IL-10), neuronal injury markers (NSE, GFAP), and apoptosis-related markers (Bcl-2, Bax, Caspase-3) were detected by ELISA and RT-qPCR. Bioinformatics analysis, dual-luciferase reporter assay, and RIP assay were used to validate the targeting relationship between BACE1-AS and miR-103a-3p. BACE1-AS was significantly upregulated in both MCAO rats and OGD/R-treated SH-SY5Y cells. Silencing BACE1-AS alleviated neurological deficits, reduced pro-inflammatory cytokine levels, and inhibited neuronal apoptosis. Mechanistically, BACE1-AS targeted miR-103a-3p, and inhibiting miR-103a-3p reversed the neuroprotective effects of BACE1-AS silencing in vivo and in vitro. Silencing BACE1-AS mitigates neuronal injury and neurological deficits after ischemic stroke by targeting miR-103a-3p, providing a novel therapeutic target for ischemic stroke. Show less

This objective of this study was to investigate how aluminum affects the PKA-PGC1α-BACE1 pathway in PC12 cells and its role in neurotoxicity. According to the exposure dose of aluminum maltol, PC12 cells were selected for research and divided into five experimental groups and six intervention groups. After 24 h of 8-Bromo-cAMP intervention, they were treated with Al-(mal) Under the microscope, the number of cells in the aluminum maltol group decreased, the morphology changed, and the number of intercellular connections decreased. However, after treatment with the 8-Bromo-cAMP agonist, a significant increase in the number of cells was observed, and significant morphological changes occurred, with a gradual increase in intercellular connections. CCK-8 assays showed that cell viability gradually decreased with increasing aluminum exposure doses. Western blot showed that PKA and PGC1α expressions decreased with higher aluminum doses, while BACE1 increased; agonist treatment upregulated PGC1α and downregulated BACE1, with minimal effect on PKA; and ELISA results indicated that aluminum reduced PKA enzyme activity but increased BACE1 activity and Aβ levels. Exposure to aluminum inhibits the PKA-PGC1α-BACE1 signaling pathway, while PKA agonists can alleviate neurotoxicity by restoring this pathway. Show less

Alzheimer's disease (AD) is a progressive neurodegenerative disorder affecting millions of people worldwide, with its prevalence expected to rise in the coming years. Due to the complexity of AD and the intricate interplay among its pathological mechanisms, the development of multitarget-directed ligands (MTDLs) has emerged as a promising therapeutic strategy. These compounds could simultaneously modulate multiple pathogenic pathways. Specifically, cholinergic and amyloid mechanisms, implicated in the onset of the disease, are regulated by AChE and BACE1, respectively. Therefore, targeting both pathways offers substantial therapeutic potential for AD. Computational tools can be useful in the identification of potential MTDL for these enzymes, reducing both costs and time in the drug discovery process. This review explores the relevance of this approach in the research and development for novel AD therapies, highlighting ongoing efforts focused on the identification and development of MTDLs for AChE and BACE1 inhibition through in silico methods. Virtual screening was the most frequently applied technique for a fast selection of ligands based on their affinity for the enzymes of interest. The in silico ADMET prediction also appears with a technique that allows the screening of compounds with drug-likeness. Moreover, evidence suggests that combining multiple computational methods can effectively identify drug candidates with optimized properties for target modulation and brain bioavailability. Show less

Acetylcholinesterase (AChE) inhibitors are crucial for the symptomatic management of Alzheimer's disease (AD), with natural products-particularly botanical sources like Yellow Gastrodia elata (YGE)-serving as promising reservoirs of such inhibitors. Nevertheless, comprehensive screening and mechanistic characterization of their inhibitory potential remain limited. This study sought to identify potent AChE inhibitors from YGE, investigate their mechanisms of action, and assess their therapeutic prospects for AD. Methodologically, an integrated approach was employed, combining ultrafiltration-liquid chromatography (UF-LC) for rapid inhibitor screening, molecular docking and dynamics simulations for mechanistic insight, two-stage high-speed countercurrent chromatography for compound isolation, enzyme kinetics to delineate inhibition modalities, and network pharmacology to uncover relevant AD-related targets. The findings identified seven active constituents with notable AChE inhibition, among which parishins A and G were obtained at high purity (98.26% and 97.26%, respectively) and exhibited mixed-type inhibition with low IC Show less

Fibroblast growth factor receptor 1 (FGFR1) is recognized as an oncogene that fosters tumor development, playing a vital role in cancer progression. This has established it as a promising target for cancer drug development. However, existing FGFR1 inhibitors are often limited by drug resistance and lack of specificity, emphasizing the need for more selective and potent alternatives. To address this challenge, the present study employed an AI-driven virtual screening approach, integrating molecular docking (MD) and molecular dynamics simulations (MDS) to discover novel FGFR1 inhibitors. A voting classifier integrating three machine learning classifiers was utilized to screen 10 million compounds from the eMolecules database, leading to 44 promising candidates with a prediction probability exceeding 80%. MD identified compound with PubChem Compound Identifier (CID) 165426608 (-10.8 kcal/mol) as the highest-scoring ligand, while compounds with CID 145940129 (-9.8 kcal/mol), CID 131910163 (-9.4 kcal/mol), CID 155915988 (-9.2 kcal/mol), and CID 132423733 (-9.1 kcal/mol), exhibited binding affinities comparable to or slightly lower than that of the native ligand (-10.4 kcal/mol). MDS further revealed that all these compounds, except CID 131910163, maintained structural stability with time. Thermodynamic stability assessment confirmed the spontaneity and feasibility of their complex formation reactions with negative ΔGBFE values ranging from -21.87 to -12.76 kcal/mol. Decomposition of binding free energy change further provided key stabilizing residues. The heatmaps and histograms of the interaction over the full 200 ns simulation period highlighted the prominent interaction profiles. Structural similarity analysis of the four MDS-stable compounds displayed the dice similarity scores of 0.200000 to 0.452830 with known FGFR1 inhibitors. Additionally, the pIC50 prediction using a voting regressor indicated promising pIC50 values (7.07 to 7.47), highlighting their potential as hit candidates for further structural optimization and therapeutic development. Further, this study underscores the efficiency of machine learning-based virtual screening and in silico analysis as a cost-effective and reliable strategy for accelerating hit drug discovery from large datasets, even with limited resources and time. Show less

Alzheimer's disease (AD) and type 2 diabetes mellitus (DM), both of which are characterized by increased prevalence with aging, have considerable overlap in their risk factors, comorbidities and pathophysiological mechanisms including insulin resistance. While Alzheimer's β-secretase BACE1 is primarily expressed in the brain, it is also present in peripheral tissues at lower levels. Interestingly, BACE1 not only initiates the sequential cleavage of amyloid precursor protein to generate amyloid-β (Aβ) peptides but also cleaves the ectodomain of insulin receptors. Given a growing body of research showing that increased Aβ and insulin resistance elevate BACE1 level/activity, BACE1 represents a key molecule that is situated at the crossroads of a vicious circle between AD and DM. Remarkably, BACE1 level/activity is found to increase under insulin resistance in type 2 DM patients and animal models, which may represent a contributing factor to the progression to AD. This review provides an overview of BACE1 mechanism as a dual disease-modifying therapeutic target to mitigate Show less

HNF1A-MODY, the most prevalent form of monogenic diabetes, displays incomplete penetrance, indicating the involvement of other environmental and genetic factors in the disease etiology. Currently, it is largely unknown what the influence of environmental factors, such as toxins or diet, is on HNF1A-MODY onset and progression. Here we address this issue by exploring the impact of diet on islet and insulin-secreting beta-cells in the context of HNF1A mutation. Transgenic mice allowing the specific Hnf1a mutation in insulin-secreting beta-cells were exposed to four distinct dietary regimens including combinations of high-fat diet and caloric restriction. In vitro stem cell islets bearing the HNF1A Hnf1a-deficient beta-cells exhibited high sensitivity to dietary cues. Exposure to a high-fat diet exacerbated the glucose regulation defects, while caloric restriction significantly improved blood glucose levels in vivo, without perturbing islet architecture. The high-throughput methods identified changes in the Hnf1a-deficient beta-cells proteome landscape, involving conserved critical regulators of metabolic and growth processes, such as the Carbohydrate Response Element Binding Protein (Chrebp/Mlxipl) and ATP citrate lyase (Acly) among others. This study hallmarks the important impact of diet on Hnf1a-deficient beta-cells, stemming new therapeutic perspectives, such as future diet management approaches. Show less

The high mortality rate of severe heat stroke is mainly related to multiple organ dysfunction syndrome (MODS), and respiratory failure caused by acute lung injury (ALI) is a significant factor in the development of MODS during the course of severe heat stroke. Previous research has demonstrated that severe heat stroke-induced acute lung injury (sHS-ALI) is associated with an increase in reactive oxygen species (ROS) in vascular endothelial cells (VECs), but the specific initiating factors and intermediate mechanisms involved are unclear. In this study, the mRNA profiles of mouse lung tissues were analysed using high-throughput sequencing. Genome-wide knockout was performed using CRISPR-Cas9 technology to identify a cohort of differentially expressed genes that promote human umbilical vein endothelial cells survival after heat stress. The expression of key proteins [fibroblast growth factor 23 (FGF23), phosphorylated fibroblast growth factor receptor-1 (p-FGFR-1), FGFR-1, phosphorylated phospholipase C-γ2 (p-PLC-γ2), PLC-γ2, p-p47 In this study, we first screened sHS-ALI target genes by cross-comparison This study confirmed that FGF23/FGFR1 signalling, as an upstream priming factor, mediated NOX2-ROS activation in VECs after heat stress, thus participating in the sHS-ALI process. FGFR-1 Y766 phosphorylation is essential for FGF23/FGFR-1 signalling activation in VECs, which is involved in sHS-ALI. These findings further clarify the mechanism underlying sHS-ALI and contribute to reducing the mortality and morbidity of severe heat stroke. Show less

Epithelial-mesenchymal transition (EMT) of alveolar epithelial cells is an important mechanism for the onset and development of broncho-pulmonary dysplasia (BPD). Fibroblast growth factor 2 (FGF2) is involved in the development and repair of injury in many organs, particularly the lung. The role of FGF2 in BPD is currently unclear. The aim of our study was to investigate the expression of FGF2 in lung tissue of BPD mice, to further clarify the effect of FGF2 on EMT in alveolar epithelial cells and to actively search for possible signaling pathways. The BPD model was induced by exposure to hyperoxia. Lung tissue samples were collected and hematoxylin and eosin staining was used to determine the modeling effect. Quantitative real-time polymerase chain reaction (QRT-PCR), immunohistochemistry was used to detect FGF2 expression in BPD mice. To further investigate the effect of FGF2 supplementation and deficiency on EMT in alveolar epithelial cells, A549 cells were cryopreserved, resuspended, cultured, and passaged. Transforming growth factor-β1 (TGF-β1) was used to induce EMT. FGF2 small interfering RNA fragments were synthesized and screened. Fibroblast growth factor receptor 1 (FGFR1) expression was inhibited by BGJ398. (3-(4, 5-dimethylthiazol-2-yl)-5-(3-carboxymethoxyphenyl)-2-(4-sulfophenyl)-2H tetrazolium) (MTS) assay was used to detect the effect of FGF2 and infigratinib (BGJ398) on cell proliferation. We used qRT-PCR and Western blot to detect the expression of epithelial cell markers, mesenchymal cell markers and EMT-related signaling pathway proteins. Our results showed that the successful established hyperoxia mice model were characteristic by BPD. Hyperoxia decreased FGF2 on day 4, upregulated FGF2 on day 21, which resulted in EMT. In vitro, we found that FGF2 alone increased the expression of mesenchymal markers, decreased the expression of epithelial markers and activated phosphatidylinositol 3-kinase/protein kinase B (PI3K/AKT), small mother against decapentaplegic (Smad), mitogen-activated protein kinase (P38), and extracellular signal-regulated kinase (ERK) signaling pathways. FGF2 could not reverse but synergistically promote Transforming growth factor-β1 (TGF-β1)-induced EMT of alveolar epithelial cells. Silencing FGF2 increased the expression of epithelial marker E-cadherin, inhibited the PI3K/AKT, Smad, and P38 signaling pathways activated by TGF-β1, but activated ERK signaling. FGF2 receptor inhibitor BGJ398 reversed TGF-β1-induced EMT, decreased the expression of FGFR1, and inhibited ERK signaling pathway activation. FGF2 was closely associated with EMT in BPD mice. Both high and low levels of FGF2 promoted EMT in A549. The FGF2 receptor inhibitor BGJ398 reversed TGF-β1-induced EMT in A549 by inhibiting the FGFR1/P-ERK signaling pathway. Show less

Melatonin (MLT) can improve mitophagy, thereby ameliorating cognitive deficits in Alzheimer's disease (AD) patients. Hence, our research focused on the potential value of MLT-related genes (MRGs) in AD through bioinformatic analysis. First, the key cells in the single-cell dataset GSE138852 were screened out based on the proportion of annotated cells and Fisher's test between the AD and control groups. The differentially expressed genes (DEGs) in the key cell and GSE5281 datasets were identified, and the MRGs in GSE5281 were selected via weighted gene coexpression network analysis. After intersecting two sets of DEGs and MRGs, we performed Mendelian randomization analysis to identify the MRGs causally related to AD. Biomarkers were further ascertained through receiver operating characteristic curve (ROC) and expression analysis in GSE5281 and GSE48350. Furthermore, gene set enrichment analysis, immune infiltration analysis and correlation analysis with metabolic pathways were conducted, as well as construction of a regulator network and molecular docking. According to the Fisher test, oligodendrocytes were regarded as key cells due to their excellent abundance in the GSE138852 dataset, in which there were 281 DEGs between the AD and control groups. After overlapping with 3,490 DEGs and 550 MRGs in GSE5281, four genes were found to be causally related to AD, namely, G protein-coupled receptor, family C, group 5, member B (GPRC5B), Methyltransferase-like protein 7 A (METTL7A), NF-κB inhibitor alpha (NFKBIA) and RAS association domain family 4(RASSF4). Moreover, GPRC5B, NFKBIA and RASSF4 were deemed biomarkers, except for METTL7A, because of their indistinctive expression between the AD and control groups. Biomarkers might be involved in oxidative phosphorylation, adipogenesis and heme metabolism. Moreover, T helper type 17 cells, natural killer cells and CD56dim natural killer cells were significantly correlated with biomarkers. Transcription factors (GATA2, POU2F2, NFKB1, etc.) can regulate the expression of biomarkers. Finally, we discovered that all biomarkers could bind to MLT with a strong binding energy. Our study identified three novel biomarkers related to MLT for AD, namely, GPRC5B, NFKBIA and RASSF4, providing a novel approach for the investigation and treatment of AD patients. Show less

Disruptive eating behaviors can negatively impact psychological well-being and increase the risk of metabolic diseases such as obesity, type 2 diabetes, and cardiovascular disease. While behavioral strategies remain central to dietary interventions, emerging research highlights genetic factors, particularly single nucleotide polymorphisms (SNPs), as contributors to individual differences in eating behaviors. This scoping review maps existing research on genetic modifiers of adult eating behaviors, identifying key variants and genetic predispositions. An extensive systematic search was conducted across 12 electronic databases, including PubMed, MEDLINE, and EMBASE, alongside relevant grey literature. Sixty-five studies published from 2014 to April 2024 met inclusion criteria. Data were synthesized using Covidence and NVivo for thematic mapping. Studies were eligible if they utilized genotyping to examine genetic markers, variations, or SNPs in relation to adult eating behaviors using validated questionnaires and/or dietary interventions. Six key themes emerged: taste perception; appetite and satiety; emotional eating; disinhibition; food timing and eating habits; and snacking, craving and binge eating. Frequently studied genes included CD36, MC4R, FTO, TAS1R, TAS2R, SLC4A5, SLC6A2, SLC6A4, DRD2, CLOCK, ADIPOQ and CA6, with some studies incorporating genetic risk scores. Across reviewed studies, there was a female predominance (female-to-male ratio of 1.6:1), while older adults were underrepresented (mean age: 35.2 ± 8.4 years). Cross-sectional study designs (58 %), highlighted a methodological gap, underscoring the need for longitudinal research to explore causality. This review provides valuable insights into the genetic underpinnings of eating behaviors and emphasizes the need for future research in more diverse populations to support precision nutrition strategies. Show less

To examine cross-sectional and longitudinal associations between vascular risk factors, APOE genotype, and perivascular spaces (PVS), with attention to sex- and region-specific patterns in older adults. Population-based observational study using automated PVS quantification and multivariable regression models. UK Biobank, a large prospective cohort study of community-dwelling adults across the United Kingdom. A total of 38,121 participants (aged 47-90) were included cross-sectionally, and 4,225 longitudinally (mean follow-up 2.61 ± 1.0 years). A deep learning model was applied to brain MRI to quantify PVS in the basal ganglia (BG) and centrum semiovale (CSO). Vascular risk factors included hypertension, hypercholesterolemia, obesity, diabetes, smoking, and alcohol consumption. Models were adjusted for age, sex, scanner, and APOE-ɛ4 carrier status. Cross-sectionally, hypertension (b = 0.089, 95% CI = 0.069-0.108), hypercholesterolemia (b = 0.043, 95% CI = 0.017-0.064), obesity (b = 0.040, 95% CI = 0.016-0.064), and smoking (b = 0.056, 95% CI = 0.037-0.074) were associated with more BG-PVS. APOE-ɛ4 carriers (b = 0.039, 95% CI = 0.0015-0.076) and hypertension (b = 0.093, 95% CI = 0.056-0.130) were linked to more CSO-PVS. Moderate alcohol intake was associated with fewer BG-PVS in males but was associated with higher BG-PVS in females. Longitudinally, risk factor associations with PVS were limited. These findings support the utility of PVS as a biologically meaningful indicator of vascular brain health, with potential relevance for early identification of neurodegenerative risk in older adults. Show less

Alzheimer's disease (AD) pathology is complex and involves mitochondrial dysfunction. There are emerging therapies targeting mitochondrial function in clinical trials for AD. This highlights the need for biomarkers that measure mitochondrial function. We determined the utility of a novel blood-based mitochondrial biomarker, the mitochondrial functional index (MFI), in the context of AD in a pilot study. In vitro and in vivo models of AD had a reduced MFI. MFI was lower in human AD subjects and APOE 𝜀4 carriers. Receiver operating characteristic analysis showed MFI had a higher area under the curve than other plasma biomarkers. The MFI biomarker correlated with the Mini-Mental State Examination (MMSE) and the Clinical Dementia Rating (CDR) scale. This study highlights the potential utility of MFI as a functional blood-based mitochondrial biomarker to interrogate energy metabolism. Ongoing studies are examining the relationship of MFI with brain energy metabolism outcomes. The MFI biomarker is reduced in cell and animal models of AD. The MFI biomarker is reduced in human AD subjects and APOE ε4 carriers. The MFI biomarker can discriminate between subjects with normal cognition and AD with better performance than other plasma biomarkers. The MFI biomarker correlates with cognitive scores. Show less

Diabetic retinopathy (DR) is the main cause of blindness worldwide, and its prevalence rate is constantly rising. More in-depth exploration of its risk factors and pathogenic mechanisms is needed. This study systematically identified potential therapeutic targets for DR by evaluating causal effects of 16,989 genes and 2,923 proteins on DR/subtypes via two-sample Mendelian randomization (MR), validated with colocalization/Summary-data-based Mendelian randomization (SMR). National Health and Nutrition Examination Survey (NHANES) 1999-2010 cross-sectional data (weighted logistic/Restricted cubic spline (RCS)) pinpointed key risk factors; MR explored their links to DR subtypes. Bioinformatics (bulk and single-cell transcriptomics) analyzed molecular mechanisms of shared targets (gene expression, immune infiltration, pathway enrichment). Machine learning selected key targets for models. Finally, two-step mediation MR examined how targets regulate DR via risk factors. This study identified 64 core targets with causal links to DR. Subtype analysis revealed 2,128 causal genes and subtype-specific targets (e.g. 52 for background DR, 66 for proliferative DR). SMR validated these findings. NHANES data highlighted body mass index (BMI), stroke, hypertension (HBP), and C-reactive protein (CRP) as key DR risk factors, confirmed by MR. Transcriptomics identified 29 differentially expressed genes associated with both risk factors and DR, linked to immune cell regulation. Machine learning selected core targets (LY9, WWP2, etc.) and built a nomogram for DR risk prediction. Functional enrichment showed these targets enriched in chemokine/cytokine and immune-inflammatory pathways. Two-step mediation MR further revealed LY9, ARHGAP1, and WWP2 influence DR subtypes via regulating BMI, CRP, and HBP. This study systematically elucidates the key risk factors, potential molecular mechanisms, and core regulatory targets of DR through multi-omics integration, causal inference, and bioinformatics approaches. The results indicate that inflammation, immune dysregulation, and metabolic disorders play crucial roles in the pathogenesis of DR. Key genes such as LY9, ARHGAP1, and WWP2 could serve as potential intervention targets, offering theoretical foundations and strategic support for early warning and precision treatment of DR. Show less

Hyperlipidemia is characterized by an abnormally elevated serum cholesterol, triglycerides, or both. The relationship between an elevated level of LDL and cardiovascular diseases is well-established. Cholesteryl ester transfer protein (CETP) is an enzyme that moves cholesterol esters and triglycerides between LDL, VLDL, and HDL. CETP inhibition leads to a reduction in cardiovascular disease by raising HDL and minimizing LDL. This study synthesized ten meta-chlorinated benzene sulfonamides 6a-6j and explored their structure-activity relationship. The synthesized molecules were characterized using Based on It was found that a chloro moiety at the ortho-position, or a nitro group at the meta and para-positions, improves the CETP inhibitory activity of synthesized analogs. Computational studies suggest the formation of stable ligand-protein complexes between compounds 6a- 6j and CETP. Show less

The Gastrointestinal (GI) microbiome and gut-brain axis are associated with the progression and pathology of Alzheimer's disease (AD). Amyloid deposition is thought to be a driver of AD, causing synaptic dysfunction and neuronal death in the brain. Chronic constipation is a common gastrointestinal (GI) dysmotility in AD patients, which impacts patient outcomes and quality of life. It is unknown if enteric amyloidosis disrupts myenteric neuron function and causes GI dysmotility. Untreated male and female APP/PS1 (a transgenic murine model of brain amyloidosis) and sex-matched control mice were followed until 12 months of age. A separate cohort of mice was treated with a vehicle or the beta-secretase (BACE1) inhibitor, lanabecestat, starting at 5 months of age until 7 months. GI motility was assessed in all mice by measuring whole GI transit in vivo. Propulsive colonic motility and GI smooth muscle contractions were measured ex vivo. At 7 or 12 months old, amyloidosis in the brain and myenteric plexus was determined by immunohistochemistry or ELISA; the myenteric neural density, including the cholinergic and nitrergic neurons, was evaluated by immune staining and RT-PCR; expression of pro-inflammatory factors in the GI wall was assessed by RT-PCR. By 7 months of age, male and female APP/PS1 mice developed abundant amyloid plaques in the brain. Aged untreated male APP/PS1 mice also demonstrated Aβ deposition in the colonic myenteric ganglia, which was associated with increased fecal output and faster whole GI transit starting at 4-7 months old, but vehicle- and lanabecestat-treated male APP/PS1 mice had similar GI motility to their non-genetic controls until 7 months old. None of the female APP/PS1 mice showed GI dysmotility or myenteric amyloidosis. Two months of lanabecestat treatment effectively reduced amyloid plaque burden in the brains of female APP/PS1 mice but not in male APP/PS1 mice. Treatment with lanabecestat did not affect myenteric Aβ intensity or GI motility in all APP/PS1 mice. All APP/PS1 mice did not show myenteric neuronal degeneration or inflammation until 12 months old. APP/PS1 mice do not recapitulate myenteric amyloidosis persistently and lack the phenotype of constipation observed in human AD patients; these mice should not be considered an adequate murine model for studying the role of myenteric amyloidosis in GI dysmotility. An adequate animal model with myenteric amyloidosis is required for further study. Show less

Dyslipidemia has been proved to play a pivotal role in biological aging. Atherogenic Index of Plasma (AIP), derived from serum triglyceride (TG) and high-density lipoprotein cholesterol (HDL-C), is an effective biomarker of dyslipidemia. However, whether AIP can be used as an indicator of biological aging remains unclear. This study aims to investigate the relationship between AIP and biological aging in the US adult population. 4,471 American adults with age over 20 years from the National Health and Nutrition Examination Survey (NHANES) database were included in this study. Biological aging was assessed by phenotypic age acceleration (PhenoAgeAccel). Multivariable linear regression models, subgroup analyses and interaction tests were employed to explore the association between AIP and PhenoAgeAccel. Furthermore, adjusted restricted cubic spline (RCS) analyses were employed to assess potential nonlinear relationships, while mediation analysis was utilized to identify the mediating effects of homeostatic model assessment of insulin resistance (HOMA-IR). Besides, network pharmacology was performed to determine the potential mechanisms underlying dyslipidemia-related aging acceleration. A total of 4,471 participants were included in this study, the median chronological age, PhenoAge and PhenoAgeAccel for the overall population were 49 (35-64) years, 42.85 (27.30-59.68) years, and - 6.92 (- 10.52 to -2.46) years, respectively. In the fully adjusted model, one unit increase of AIP was correlated with 1.820-year increase in PhenoAgeAccel (β = 1.820, 95% CI: 1.085-2.556), which was more pronounced among individuals being female, diabetic and hypertensive. Furthermore, RCS analysis revealed a nonlinear relationship between AIP and PhenoAgeAccel, with an inflection point identified at -0.043 for AIP via threshold and saturation effect analysis. AIP demonstrated a positive correlation with PhenoAgeAccel both before (β = 6.550, 95% CI: 5.070-8.030) and after (β = 3.898, 95% CI: 2.474-5.322) this inflection point. Additionally, HOMA-IR was found to mediate 39.21% of the association between AIP and PhenoAgeAccel. Finally, network pharmacology analysis identified INS, APOE, APOB, IL6, IL10, PPARG, MTOR, ACE, PPARGC1A, and SERPINE1 as core targets in biological aging, which were functionally linked to key signaling pathways like AMPK, apelin, JAK-STAT, FoxO, etc. CONCLUSIONS: An elevated AIP was notably and positively correlated with accelerated aging, suggesting that AIP may serve as an effective predictor to evaluate accelerated aging. Show less