Genetic estimation of correlations and causalities between multifaceted modifiable factors and gastro-oesophageal reflux disease

Exploring the Effects and Mechanisms of Valerian Volatile Oil in Treating Insomnia Using Network Pharmacology, Molecular Docking, and Molecular Dynamics Simulation-Based Approaches

Valerian possesses a multitude of pharmacological effects, including sedative and hypnotic properties, antihypertensive effects, antibacterial activity, and liver protection. Insomnia, one of the most prevalent disorders in contemporary society, significantly impacts people's daily lives. This study aims to explore the anti-insomnia effects of valerian volatile oil (VVO) and investigate its potential mechanism of action through chemical analysis, network pharmacology, molecular docking, molecular dynamics simulations, and experimental validation. Through gas chromatography-mass spectrometry (GC-MS) analysis and drug-likeness screening, we identified 38 active compounds. Network pharmacology studies revealed that these 38 compounds might affect 103 targets associated with insomnia, such as monoamine oxidase B (MAOB), dopamine receptor D2 (DRD2), monoamine oxidase A (MAOA), interleukin 1β (IL1B), solute carrier family 6 member 4 (SLC6A4), prostaglandin-endoperoxide synthase 2 (PTGS2), and 5-hydroxytryptamine receptor 2A (HTR2A), which contribute to regulating the neuroactive ligand-receptor interaction, 5-hydroxytryptaminergic synapse, and calcium signaling pathways. The results of the molecular dynamics simulations indicated that bis[(6,6-dimethyl-3-bicyclo[3.1.1]hept-2-enyl)methyl] (E)-but-2-enedioate exhibited a stabilizing interaction with MAOB. The animal studies demonstrated that gavage administration of a high dose (100 mg/kg) of VVO significantly diminished autonomous activity, decreased sleep latency, and extended sleep duration in mice. Furthermore, the results of the Western blot experiment indicated that VVO interacts with MAOB, resulting in decreased expression levels of MAOB in the cerebral cortex. This study demonstrates the protective mechanism of VVO against insomnia through chemical analysis, network pharmacology, and experimental validation and extends the possible applications of VVO, which is a potential therapeutic ingredient for use in insomnia treatment.

Causal Association Between Sedentary Behaviors and Health Outcomes: A Systematic Review and Meta-Analysis of Mendelian Randomization Studies

BACKGROUND

Different types of sedentary behavior are associated with several health outcomes, but the causality of these associations remains unclear.

OBJECTIVES

To conduct a systematic review and meta-analysis of Mendelian randomization (MR) studies investigating the associations between sedentary behaviors and health outcomes.

METHODS

A systematic search on PubMed, Embase, Web of Science, Scopus, and PsycINFO up to August 2023 was conducted to identify eligible MR studies. We selected studies that assessed associations of genetically determined sedentary behaviors and health outcomes. A meta-analysis was conducted to examine the causal associations when two or more MR studies were available. We graded the evidence level of each MR association based on the results of the main method and sensitivity analyses in MR studies.

RESULTS

A total of 31 studies with 168 MR associations between six types of sedentary behavior and 47 health outcomes were included. Results from meta-analyses suggested a total of 47 significant causal associations between sedentary behaviors and health outcomes. Notably, more leisure TV watching is robustly correlated with increased risks of myocardial infarction, coronary artery disease, all-cause ischemic stroke, and type 2 diabetes. Conversely, robust inverse associations were observed between leisure computer use and risks of rheumatoid arthritis, Alzheimer's disease, and gastroesophageal reflux disease.

CONCLUSION

These findings suggest that different types of sedentary behavior have distinct causal effects on health outcomes. Therefore, interventions should focus not only on reducing sedentary time but also on promoting healthier types of sedentary behavior.

PROSPERO REGISTRATION

CRD42023453828.

Sedentary and 21 gastrointestinal disorders: A Mendelian randomization study

Sedentary behavior (SB) has been linked in the past by observational studies to gastrointestinal illnesses, although the exact cause of the link is still unknown. To deal with this problem, we carried out a Mendelian randomization (MR) study to thoroughly examine the connection between SB and common gastrointestinal illnesses. We selected instrumental variables representing the SB from the UK Biobank study, including watching television viewing, playing computer, and driving. In addition, we obtained genetic associations of 21 common gastrointestinal disorders from the FinnGen research. After adjusting for common risk factors associated with gastrointestinal diseases, we analyzed the independent association between genetic. Furthermore, we used the inverse-variance weighted (IVW) method in conjunction with complementing techniques like MR-Egger (Mendelian randomization based on Egger Regression) and weighted median to assure the accuracy and dependability of the results. Our findings suggest that genetic susceptibility to prolonged television viewing is significantly associated with an increased risk of 9 out of 21 gastrointestinal disorders. Specifically, these disorders include gastroesophageal reflux disease, chronic gastritis, cholelithiasis, acute pancreatitis, chronic pancreatitis, gastroduodenal ulcer, fatty liver, irritable bowel syndrome, and acute appendicitis. These associations remained significant even after correcting for potential confounding factors. The replication analysis confirms the same conclusion. The results of this study demonstrate a causal relationship between cachexia and genetically predicted SB. To further understand the underlying pathogenic mechanisms at play, more study is required.

Sedentary lifestyle, physical activity, and gastrointestinal diseases: evidence from mendelian randomization analysis

BACKGROUND

The causal associations of physical activity and sedentary behavior with the risk of gastrointestinal disease are unclear. We performed a Mendelian randomization analysis to examine these associations.

METHODS

Genetic instruments associated with leisure screen time (LST, an indicator of a sedentary lifestyle) and moderate-to-vigorous intensity physical activity (MVPA) at the genome-wide significance (P < 5 × 10-8) level were selected from a genome-wide association study. Summary statistics for gastrointestinal diseases were obtained from the UK Biobank study, the FinnGen study, and large consortia. Multivariable MR analyses were conducted for genetically determined LST with adjustment for MVPA and vice versa. We also performed multivariable MR with adjustment for genetically proxied smoking, body mass index (BMI), waist-to-hip ratio, type 2 diabetes, and fasting insulin for both exposures.

FINDINGS

Genetically proxied longer LST was associated with an increased risk of gastrointestinal reflux, gastric ulcer, duodenal ulcer, chronic gastritis, irritable bowel syndrome, diverticular disease, Crohn's disease, ulcerative colitis, non-alcoholic fatty liver disease, alcoholic liver disease, cholangitis, cholecystitis, cholelithiasis, acute pancreatitis, chronic pancreatitis, and acute appendicitis. Most associations remained after adjustment for genetic liability to MVPA. Genetic liability to MVPA was associated with decreased risk of gastroesophageal reflux, gastric ulcer, chronic gastritis, irritable bowel syndrome, cholecystitis, cholelithiasis, acute and chronic pancreatitis. The associations attenuated albeit directionally remained after adjusting for genetically predicted LST. Multivariable MR analysis found that BMI and type 2 diabetes mediated the associations of LST and MVPA with several gastrointestinal diseases.

INTERPRETATION

The study suggests that a sedentary lifestyle may play a causal role in the development of many gastrointestinal diseases.

FUNDING

Natural Science Fund for Distinguished Young Scholars of Zhejiang Province (LR22H260001), Natural Science Foundation of Hunan Province (2021JJ30999), Swedish Heart-Lung Foundation (Hjärt-Lungfonden, 20210351), Swedish Research Council (Vetenskapsrådet, 2019-00977), Swedish Cancer Society (Cancerfonden), the Wellcome Trust (225790/7/22/Z), United Kingdom Research and Innovation Medical Research Council (MC_UU_00002/7) and National Institute for Health Research Cambridge Biomedical Research Centre (NHIR203312).

Molecular prognostic of nine parthanatos death-related genes in glioma, particularly in COL8A1 identification

Post-operative progression and chemotherapy resistance are the main causes of treatment failure in glioma patients. There is a lack of ideal prediction models for post-operative glioma patient progression and drug sensitivity. We aimed to develop a prognostic model of parthanatos mRNA biomarkers for glioma outcomes. A total of 11 parthanatos genes were obtained from ParthanatosCluster database. ConsensusClusterPlus and R "Limma" package were used to cluster The Cancer Genome Atlas (TCGA)-glioma cohort and analyze the differential mRNAs. Univariate Cox regression analysis, random survival forest model, and least absolute shrinkage and selection operator (LASSO) regression analysis were used to determine the nine ParthanatosScore prognostic genes combination. ParthanatosScore was verified by 656 patients and 979 patients in TCGA and CGCA-LGG/GBM datasets. Differences in genomic mutations, tumor microenvironments, and functional pathways were assessed. Drug response prediction was performed using pRRophetic. Kaplan-Meier survival analysis was analyzed. Finally, COL8A1 was selected to evaluate its potential biological function and drug sensitivity of temozolomide and AZD3759 in glioma cells. ParthanatosScore obtained a combination of nine glioma prognostic genes, including CD58, H19, TNFAIP6, FTLP3, TNFRSF11B, SFRP2, LOXL1, COL8A1, and FABP5P7. In the TCGA-LGG/GBM dataset, glioma prognosis was poor in high ParthanatosScore. Low-score glioma patients were sensitive to AZD3759_1915, AZD5582_1617, AZD8186_1918, Dasatinib_1079, and Temozolomide_1375, while high-score patients were less sensitive to these drugs. Compared with HA cells, COL8A1 was significantly over-expressed in LN229 and U251 cells. Silencing COL8A1 inhibited the malignant characterization of LN229 and U251 cells. Temozolomide and AZD3759 also promoted parthanatos gene expression in glioma cells. Temozolomide and AZD3759 inhibited COL8A1 expression and cell viability and promoted apoptosis in glioma cells and PGM cells. ParthanatosScore can accurately predict clinical prognosis and drug sensitivity after glioma surgery. Silencing COL8A1 inhibited the malignant characterization. Temozolomide and AZD3759 inhibited COL8A1 expression and cell viability and promoted apoptosis and parthanatos gene expression, which is a target to improve glioma.