Association between Cardiometabolic index and cognitive function: a cross-sectional study in a diabetic-based population.

BACKGROUND: Diabetes is a significant risk factor for cognitive impairment. Therefore early identification of cognitive impairment in diabetic patients is particularly important. The aim of this study was to assess the relationship between Cardiometabolic index（CMI） and cognitive function in a diabetic population. METHODS: A cross-sectional study was conducted by collecting information from the National Health and Nutrition Examination Survey (NHANES) 2011-2014. Multiple linear regression models were used to investigate the correlation between CMI and low cognitive function in a diabetic population. Threshold effects analysis and fitted smoothing curves were used to describe the nonlinear links. Interaction tests and subgroup analyses were also performed. RESULTS: A total of 1050 people participated in this study, including 561 men and 489 women. In the fully corrected model, CMI was positively associated with low cognitive performance as assessed by CERAD W-L, AFT and DSST [OR=1.37 (1.14, 1.72),P=0.0074], [OR=1.21 (1.04, 1.51),P=0.0126] and [OR=1.27 (1.08, 1.63),P= 0.0253]. Our study found that diabetic patients with higher CMI were at greater risk of developing low cognitive function. The effect of the subgroups on the positive association of CMI with cognitive impairment was not significant. A non-linear association between low cognitive performance and CMI was determined by CERAD W-L, AFT and DSST (log likelihood ratio < 0.05). In addition our also study found that CMI was a better predictor of cognitive impairment in diabetes than WWI. CONCLUSION: Increased CMI is associated with an increased risk of cognitive impairment in people with diabetes.CMI can be used as a new anthropometric measure for predicting cognitive impairment in diabetes.

Mechanism of Dahuang Mudan Decotion in the treatment of colorectal cancer based on network pharmacology and experimental validation.

Objective: The objective of this study was to assess the pharmacological activity and therapeutic mechanism of Dahuang Mudan Decotion (DHMDD) for colorectal cancer using ultra-performance liquid chromatography tandem mass spectrometry (UPLC-MS), network pharmacology and in vitro experiments. Methods: The chemical components of DHMDD were identified by UPLC-MS. Network pharmacological analysis was utilized to screen the active ingredients and targets associated with DHMDD for colorectal cancer. Based on the results of network pharmacology, the potential mechanism of DHMDD on colorectal cancer predicted was experimentally studied and verified in vitro. Results: DHMDD primarily exerts its effects on colorectal cancer through 52 active ingredients. AKT1, ESR1, HSP90AA1, JUN, PIK3CA, PIK3CB, PIK3R1, SRC, STAT3, TP53 were the top 10 targets. The top 10 ingredient nodes were Quercetin, Physcione, Pontigenin, Crysophanol, Linolenic acid, Piceatannol, Adenosine, Emodin, Sambunigrin, and Prunasin. The main compounds and the target proteins exhibited strong binding ability in molecular docking studies. The results of cell experiments demonstrated that DHMDD can inhibit the proliferation, invasion and migration of CRC cells through the PI3K/Akt pathway. Conclusion: Through network pharmacology analysis and cell experiments, this study suggests that DHMDD can exert its therapeutic effects on colorectal cancer through a combination of multiple components and targets.

Multiple coronary heart diseases are risk factors for mental health disorders: A mendelian randomization study.

BACKGROUND: Previous observational studies have suggested associations between Coronary Heart Disease (CHD) and Mental Health Disorders (MHD). However, the causal nature of these relationships has remained elusive. OBJECTIVE: The purpose of this study is to elucidate the causal relationships between eight distinct types of CHD and six types of MHD using Mendelian randomization (MR) analysis. METHODS: The MR analysis employed a suite of methods including inverse variance-weighted (IVW), MR-Egger, weighted mode, weighted median, and simple mode techniques. To assess heterogeneity, IVW and MR-Egger tests were utilized. MR-Egger regression also served to investigate potential pleiotropy. The stability of IVW results was verified by leave-one-out sensitivity analysis. RESULTS: We analyzed data from over 2,473,005 CHD and 803,801 MHD patients, informed by instrumental variables from large-scale genomic studies on European populations. The analysis revealed a causal increase in the risk of Major Depressive Disorder and Mania associated with Coronary Artery Disease and Myocardial Infarction. Heart Failure was found to causally increase the risk for Bipolar Disorder and Schizophrenia. Atrial Fibrillation and Ischemic Heart Diseases were positively linked to Generalized Anxiety Disorder and Mania, respectively. There was no significant evidence of an association between Hypertensive Heart Disease, Hypertrophic Cardiomyopathy, Pulmonary Heart Disease, and MHD. Reverse MR analysis indicated that MHD do not serve as risk factors for CHD. CONCLUSIONS: The findings suggest that specific types of CHD may act as risk factors for certain MHDs. Consequently, incorporating psychological assessments into the management of patients with CHD could be advantageous.

The role of ferroptosis in diabetic cardiovascular diseases and the intervention of active ingredients of traditional Chinese medicine.

Cardiovascular diseases (CVDs), encompassing ischaemic heart disease, cardiomyopathy, and heart failure, among others, are the most prevalent complications of diabetes and the leading cause of mortality in patients with diabetes. Cell death modalities, including apoptosis, necroptosis, and pyroptosis, have been demonstrated to be involved in the pathogenesis of CVDs. As research progresses, accumulating evidence also suggests the involvement of ferroptosis, a novel form of cell death, in the pathogenesis of CVDs. Ferroptosis, characterised by iron-dependent lipid peroxidation, which culminates in membrane rupture, may present new therapeutic targets for diabetes-related cardiovascular complications. Current treatments for CVDs, such as antihypertensive, anticoagulant, lipid-lowering, and plaque-stabilising drugs, may cause severe side effects with long-term use. Traditional Chinese medicine, with its broad range of activities and minimal side effects, is widely used in China. Numerous studies have shown that active components of Chinese medicine, such as alkaloids, polyphenols, and saponins, can prevent CVDs by regulating ferroptosis. This review summarises the recent findings on the regulatory mechanisms of active components of Chinese medicine against ferroptosis in CVDs, aiming to provide new directions and a scientific basis for targeting ferroptosis for the prevention and treatment of diabetic CVDs.

Natural products for the treatment of depression: Insights into signal pathways influencing the hypothalamic-pituitary-adrenal axis.

Depression, a prevalent psychiatric malady, afflicts a substantial global demographic, engendering considerable disease burden due to its elevated morbidity and mortality rates. Contemporary therapeutic approaches for depression encompass the administration of serotonin reuptake inhibitors, monoamine oxidase inhibitors, and tricyclic antidepressants, albeit these pharmaceuticals potentially induce adverse neurological and gastrointestinal effects. Traditional Chinese Medicine (TCM) natural products proffer the benefits of multi-target, multi-level, and multi-channel depression treatment modalities. In this investigation, we conducted a comprehensive literature review of the past 5 years in PubMed and other databases utilizing the search terms "Depression," "Natural medicines," "Traditional Chinese Medicine," and "hypothalamic-pituitary-adrenal axis." We delineated the 5 most recent and pertinent signaling pathways associated with depression and hypothalamic-pituitary-adrenal (HPA) axis dysregulation: nuclear factor kappa light-chain-enhancer of activated B cell, brain-derived neurotrophic factor, mitogen-activated protein kinase, cyclic AMP/protein kinase A, and phosphoinositide 3-kinase/protein kinase B. Additionally, we deliberated the antidepressant mechanisms of natural medicines comprising alkaloids, flavonoids, polyphenols, saponins, and quinones via diverse pathways. This research endeavor endeavored to encapsulate and synthesize the progression of TCMs in modulating HPA axis-associated signaling pathways to mitigate depression, thereby furnishing robust evidence for ensuing research in this domain.

Reverse predictive analysis of Rhizoma Pinelliae and Rhizoma Coptidis on differential miRNA target genes in lung adenocarcinoma.

To use bioinformatics and network analysis to reveal the mechanism of "Rhizoma Pinelliae-Rhizoma Coptidis" herb pair in the treatment of lung adenocarcinoma. The target and pathway of "Rhizoma Pinelliae-Rhizoma Coptidis" herb pair in the treatment of lung adenocarcinoma were explored by online databases and network analysis tools, and the potential biomarkers of "Rhizoma Pinelliae-Rhizoma Coptidis" herb pair in the treatment of lung adenocarcinoma were predicted in reverse. A total of 59 traditional Chinese medicine compounds and 510 drug targets were screened in this study. A total of 25 micro-RNAs and 15,323 disease targets were obtained through GEO2R software analysis. In the end, 294 therapeutic targets and 47 core targets were obtained. A total of 186 gene ontology enrichment assays were obtained, and core therapeutic targets play multiple roles in biological processes, molecular functions, and cellular composition. Kyoto encyclopedia of genes and genomes pathway enrichment analysis showed that the core targets were mainly enriched in cancer-related pathways, immune-related pathways, endocrine-related pathways, etc, among which the non-small cell lung cancer pathway was the most significant core pathway. Molecular docking shows that the compound and the target have good binding ability. "Rhizoma Pinelliae-Rhizoma Coptidis" herb pair plays a mechanism of action in the treatment of lung adenocarcinoma through multiple targets and pathways. miR-5703, miR-3125, miR-652-5P, and miR-513c-5p may be new biomarkers for the treatment of lung adenocarcinoma.

Natural products of traditional Chinese medicine treat atherosclerosis by regulating inflammatory and oxidative stress pathways.

Atherosclerosis (AS) is a prevalent arteriosclerotic vascular disease that forms a pathological basis for coronary heart disease, stroke, and other diseases. Inflammatory and oxidative stress responses occur throughout the development of AS. Treatment for AS over the past few decades has focused on administering high-intensity statins to reduce blood lipid levels, but these inevitably damage liver and kidney function over the long term. Natural medicines are widely used to prevent and treat AS in China because of their wide range of beneficial effects, low toxicity, and minimal side effects. We searched for relevant literature over the past 5 years in databases such as PubMed using the keywords, "atherosclerosis," "traditional Chinese medicine," "natural medicines," "inflammation," and "oxidative stress." We found that the PI3K/AKT, TLR4, JAK/STAT, Nrf2, MAPK, and NF-κB are the most relevant inflammatory and oxidative stress pathways in AS. This review summarizes studies of the natural alkaloid, flavonoid, polyphenol, saponin, and quinone pathways through which natural medicines used to treat AS. This study aimed to update and summarize progress in understanding how natural medicines treat AS via inflammatory and oxidative stress-related signaling pathways. We also planned to create an information base for the development of novel drugs for future AS treatment.

Exploring the mechanism of Shendi Bushen capsule in anti-renal fibrosis using metabolomics theory and network analysis.

Shendi Bushen capsule (SDBS) is a Chinese patent medicine used for the treatment of renal fibrosis (RF). However, its mechanism of action in the treatment of RF is still unclear, which seriously restricts its clinical application. This study integrated metabolomics and biological network analysis of SDBS against RF mechanism. Metabolomic analysis of rat urine samples identified biomarkers of differential progression of RF and key metabolites regulated by SDBS. The key metabolic pathways and the related therapeutic targets of SDBS against RF were explored using biological network analysis tools. The study finds 12 metabolites as biomarkers for different stages of renal fibrosis progression. SDBS significantly modulates seven metabolites, D-erythro-imidazole-glycerol-phosphate, N-acetyl-L-aspartic acid, formiminoglutamic acid, malonic semialdehyde, 4-pyridoxic acid, isopyridox, and argininosuccinic acid. Network analysis found that alanine, aspartate and glutamate metabolism, glyoxylate and dicarboxylate metabolism, one carbon pool by folate, propanoate metabolism, and histidine metabolism are important pathways for SDBS against RF. The results showed that the therapeutic effect of SDBS was related to reducing inflammation and oxidative stress, and improving glomerular filtration function.