
Neurotherapeutics, Journal Year: 2022, Volume and Issue: 19(1), P. 186 - 208
Published: Jan. 1, 2022
Language: Английский
Neurotherapeutics, Journal Year: 2022, Volume and Issue: 19(1), P. 186 - 208
Published: Jan. 1, 2022
Language: Английский
Neurotherapeutics, Journal Year: 2021, Volume and Issue: 19(1), P. 173 - 185
Published: Nov. 2, 2021
Language: Английский
Citations
225MedComm, Journal Year: 2023, Volume and Issue: 4(4)
Published: July 31, 2023
Multi-omics usually refers to the crossover application of multiple high-throughput screening technologies represented by genomics, transcriptomics, single-cell proteomics and metabolomics, spatial so on, which play a great role in promoting study human diseases. Most current reviews focus on describing development multi-omics technologies, data integration, particular disease; however, few them provide comprehensive systematic introduction multi-omics. This review outlines existing technical categories multi-omics, cautions for experimental design, focuses integrated analysis methods especially approach machine learning deep integration corresponding tools, medical researches (e.g., cancer, neurodegenerative diseases, aging, drug target discovery) as well open-source tools databases, finally, discusses challenges future directions precision medicine. With algorithms, important disease research, also provided detailed introduction. will guidance researchers, who are just entering into research.
Language: Английский
Citations
172Science Advances, Journal Year: 2022, Volume and Issue: 8(37)
Published: Sept. 16, 2022
Lipids are crucial components of cellular function owing to their role in membrane formation, intercellular signaling, energy storage, and homeostasis maintenance. In the brain, lipid dysregulations have been associated with etiology progression neurodegeneration other neurological pathologies. Hence, brain lipids emerging as important potential targets for early diagnosis prognosis diseases. This review aims highlight significance usefulness lipidomics diagnosing treating We explored alterations diseases, paying attention organ-specific characteristics functions lipids. As recent advances would impossible without analytical techniques, we provide up-to-date information on mass spectrometric approaches integrative analysis omic approaches. Last, present applications combined artificial intelligence techniques interdisciplinary collaborative research diseases clinical heterogeneities.
Language: Английский
Citations
142International Journal of Molecular Sciences, Journal Year: 2022, Volume and Issue: 23(10), P. 5404 - 5404
Published: May 12, 2022
Alzheimer's disease (AD) constitutes the most prominent form of dementia among elderly individuals worldwide. Disease modeling using murine transgenic mice was first initiated thanks to discovery heritable mutations in amyloid precursor protein (APP) and presenilins (PS) genes. However, due repeated failure translational applications from animal models human patients, along with recent advances genetic susceptibility our current understanding on biology, these have evolved over time an attempt better reproduce complexity this devastating improve their applicability. In review, we provide a comprehensive overview about major pathological elements AD (plaques, tauopathy, synaptic damage, neuronal death, neuroinflammation glial dysfunction), discussing knowledge that available mouse provided mechanisms underlying disease. Moreover, highlight pros cons models, revolution offered by concomitant use omics technologies may lead more rapid improvement present battery.
Language: Английский
Citations
81Nature Reviews Neurology, Journal Year: 2023, Volume and Issue: 19(5), P. 261 - 277
Published: April 6, 2023
Language: Английский
Citations
79Trends in Neurosciences, Journal Year: 2023, Volume and Issue: 46(3), P. 176 - 198
Published: Jan. 13, 2023
Neurological and psychiatric diseases have high degrees of genetic pathophysiological heterogeneity, irrespective clinical manifestations. Traditional medical paradigms focused on late-stage syndromic aspects these diseases, with little consideration the underlying biology. Advances in disease modeling methodological design paved way for development precision medicine (PM), an established concept oncology growing attention from other specialties. We propose a PM architecture central nervous system built four converging pillars: multimodal biomarkers, systems medicine, digital health technologies, data science. discuss Alzheimer's (AD), area significant unmet need, as case-in-point proposed framework. AD can be seen one most advanced PM-oriented models compelling catalyzer towards neuroscience drug healthcare practice.
Language: Английский
Citations
68Current Pharmaceutical Analysis, Journal Year: 2023, Volume and Issue: 19(4), P. 267 - 281
Published: April 11, 2023
Abstract: Multi-omics approaches have developed as a profitable technique for plant systems, popular method in medical and biological sciences underlining the necessity to outline new integrative technology functions facilitate multi-scale depiction of systems. Understanding system through various omics layers reveals supplementary sources variability probably inferring sequence cases leading definitive process. Manuscripts reviews were searched on PubMed with keywords multi-omics, data analysis, omics, integration, deep learning multi-omics integration. Articles that published after 2010 prioritized. The authors focused mainly publications developing approaches. Omics reveal interesting tools produce behavioral interactions microbial communities, integrating details into risk assessment will an impact food safety, also relevant spoilage control procedures. datasets, comprehensively characterizing at molecular level, are continually increasing both dimensionality complexity. analysis is appropriate treatment optimization, testing disease prognosis, achieve mechanistic understandings diseases. New effective solutions together well-designed components recommended many trials. goal this mini-review article introduce technologies considering different analyses.
Language: Английский
Citations
53Journal of the American Heart Association, Journal Year: 2023, Volume and Issue: 12(21)
Published: Nov. 6, 2023
Cardiovascular disease (CVD) remains one of the leading causes morbidity and mortality in aging adults across United States. Prior studies indicate that presence atherosclerosis, pathogenic basis CVD, is linked with dementias. Alzheimer's (AD) AD-related dementias are a major public health challenge Recent ≈3.7 million Americans ≥65 years age had clinical AD 2017, projected increases to 9.3 by 2060. Treatment options for remain limited. Development disease-modifying therapies challenging due, part, long preclinical window AD. The incubation period starts midlife, providing critical identification optimization risk factors. Studies link CVD factors such as hypertension, inflammation, dyslipidemia. Both progressive diseases decades-long development periods. can clinically manifest several earlier than AD, making its potential predictor future current review focuses on state literature molecular metabolic pathways modulating heart-brain axis underlying association midlife their effect related Further, we explore CVD/dementia preventive strategies during opportunity research field multiomics novel biomarker use era.
Language: Английский
Citations
49Diagnostics, Journal Year: 2021, Volume and Issue: 11(8), P. 1473 - 1473
Published: Aug. 14, 2021
Decades of experimental and clinical research have contributed to unraveling many mechanisms in the pathogenesis Alzheimer's disease (AD), but puzzle is still incomplete. Although we can suppose that there no complete set pieces, recent growth open data-sharing initiatives collecting lifestyle, clinical, biological data from AD patients has provided a potentially unlimited amount information about disease, far exceeding human ability make sense it. Moreover, integrating Big Data multi-omics studies provides potential explore pathophysiological entire continuum AD. In this context, Artificial Intelligence (AI) offers wide variety methods analyze large complex order improve knowledge field. review, focus on findings future challenges for AI research. particular, discuss use Computer-Aided Diagnosis tools diagnosis support practices prediction individual risk conversion as well patient stratification finally develop effective personalized therapies.
Language: Английский
Citations
89Journal of Neural Transmission, Journal Year: 2021, Volume and Issue: 129(1), P. 1 - 24
Published: Dec. 17, 2021
Language: Английский
Citations
86