Inferring Multi-Organ Genetic Causal Connections using Imaging and Clinical Data through Mendelian Randomization DOI Creative Commons
Juan Shu, Rong Qin Zheng, Julio A. Chirinos

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: May 28, 2023

Abstract Understanding the complex causal relationships among major clinical outcomes and interplay multiple organs remains a significant challenge. By using imaging phenotypes, we can characterize functional structural architecture of human organs. Mendelian randomization (MR) provides valuable framework for inferring causality by leveraging genetic variants as instrumental variables. In this study, conducted systematic multi-organ MR analysis involving 402 traits 372 outcomes. Our revealed 184 links 58 diseases 56 across various organs, tissues, systems, including brain, heart, liver, kidney, lung, pancreas, spleen, adipose tissue, skeletal system. We identified intra-organ connections, such bidirectional between Alzheimer’s disease brain function, well inter-organ effects, impact heart on health. Metabolic disorders, diabetes, exhibited effects These findings shed light spanning providing insights into intricate organ functions

Language: Английский

Brain functional alteration and cognitive performance in cardiovascular diseases: a systematic review of fMRI studies DOI Creative Commons
Syeda Humayra, Noorazrul Yahya, Chai Jia Ning

et al.

Frontiers in Neurology, Journal Year: 2024, Volume and Issue: 15

Published: Oct. 15, 2024

Background Functional magnetic resonance imaging (fMRI) is a useful tool to evaluate brain inefficiencies secondary cardiovascular diseases (CVDs); nevertheless, limited fMRI studies have been conducted investigate the effect of CVDs on functional changes and cognitive function. This systematic review aims explore, synthesise, report outcomes (resting state task-based) performance in patients with CVDs. Methods Two reviewers independently searched published literature until April 2024 ScienceDirect, PubMed, Web Science, ClinicalTrials.gov adhering PRISMA protocol. A total 26 eligible were considered for full-text screening, which 10 included this review. The methodological quality was assessed by mixed methods appraisal reported as empirically fair. Results Among 336 subjects CVDs, aged between 49.90 ± 6.10 72.20 5.70 years, majority had coronary artery (n = 177, 52.68%) hypertension 200, 59.52%), approximately half them females 169, 50.30%). Based qualitative synthesis, demonstrated an increased decline (reduced Mini-Mental State Examination/Montreal Cognitive Assessment mean values) attenuated task (lower 2-back scores slower reaction time). also indicated impaired activity at supplementary motor area associated poor ejection fraction; reduced default mode network suppression linked high low-density lipoprotein cholesterol; lower regional homogeneity amplitude low-frequency fluctuation values; connectivity. In summary, alterations networks connectivity may contributed diseases. Conclusion It can be extrapolated that tend alter result impairment poorer performance. However, future studies, more stringent homogenous demographic data are highly recommended.

Language: Английский

Citations

0

A Mechatronic Cardiovascular Simulation System for Jugular Venous Echo-Doppler Training DOI Open Access
Antonino Proto, Andrea Cavalieri, Giacomo Gadda

et al.

Electronics, Journal Year: 2023, Volume and Issue: 12(11), P. 2419 - 2419

Published: May 26, 2023

Echo-doppler examination of the jugular vessel is a powerful tool for early diagnosis cardiovascular disorders that can be further related to central nervous system diseases. Unfortunately, ultrasound technique strongly operator-dependent, so quality scan, accuracy measurement, and therefore rapidity robustness reflect degree training. The paper presents development mechatronic simulation improving skill novice physicians in echo-doppler procedures. patient simulated by silicone manikin whose materials are designed have realistic response. Two tubes allow blood-mimicking fluid flow inside manikin, simulating hemodynamics internal vein. controlling waveform, reproduce several clinical cases interest diagnosis. experiments investigate measurements performed on proposed operators using real scanner.

Language: Английский

Citations

0

Inferring Multi-Organ Genetic Causal Connections using Imaging and Clinical Data through Mendelian Randomization DOI Creative Commons
Juan Shu, Rong Qin Zheng, Julio A. Chirinos

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: May 28, 2023

Abstract Understanding the complex causal relationships among major clinical outcomes and interplay multiple organs remains a significant challenge. By using imaging phenotypes, we can characterize functional structural architecture of human organs. Mendelian randomization (MR) provides valuable framework for inferring causality by leveraging genetic variants as instrumental variables. In this study, conducted systematic multi-organ MR analysis involving 402 traits 372 outcomes. Our revealed 184 links 58 diseases 56 across various organs, tissues, systems, including brain, heart, liver, kidney, lung, pancreas, spleen, adipose tissue, skeletal system. We identified intra-organ connections, such bidirectional between Alzheimer’s disease brain function, well inter-organ effects, impact heart on health. Metabolic disorders, diabetes, exhibited effects These findings shed light spanning providing insights into intricate organ functions

Language: Английский

Citations

0