{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,12]],"date-time":"2026-10-12T12:56:34Z","timestamp":1791809794509,"version":"4.3.4"},"reference-count":224,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2023,12,18]],"date-time":"2023-12-18T00:00:00Z","timestamp":1702857600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Metabolites"],"abstract":"<jats:p>Huntington\u2019s disease (HD) is a progressive, fatal neurodegenerative disease characterized by motor, cognitive, and psychiatric symptoms. The precise mechanisms of HD progression are poorly understood; however, it is known that there is an expansion of the trinucleotide cytosine-adenine-guanine (CAG) repeat in the Huntingtin gene. Important new strategies are of paramount importance to identify early biomarkers with predictive value for intervening in disease progression at a stage when cellular dysfunction has not progressed irreversibly. Metabolomics is the study of global metabolite profiles in a system (cell, tissue, or organism) under certain conditions and is becoming an essential tool for the systemic characterization of metabolites to provide a snapshot of the functional and pathophysiological states of an organism and support disease diagnosis and biomarker discovery. This review briefly highlights the historical progress of metabolomic methodologies, followed by a more detailed review of the use of metabolomics in HD research to enable a greater understanding of the pathogenesis, its early prediction, and finally the main technical platforms in the field of metabolomics.<\/jats:p>","DOI":"10.3390\/metabo13121203","type":"journal-article","created":{"date-parts":[[2023,12,18]],"date-time":"2023-12-18T03:59:24Z","timestamp":1702871964000},"page":"1203","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["Metabolomics: An Emerging \u201cOmics\u201d Platform for Systems Biology and Its Implications for Huntington Disease Research"],"prefix":"10.3390","volume":"13","author":[{"given":"Sumeyya","family":"Akyol","sequence":"first","affiliation":[{"name":"NX Prenatal Inc., 4350 Brownsboro Road, Louisville KY 40207, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nadia","family":"Ashrafi","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynecology, Oakland University-William Beaumont School of Medicine, 318 Meadow Brook Road, Rochester, MI 48309, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ali","family":"Yilmaz","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynecology, Oakland University-William Beaumont School of Medicine, 318 Meadow Brook Road, Rochester, MI 48309, USA"},{"name":"Metabolomics Division, Beaumont Research Institute, 3811 W. 13 Mile Road, Royal Oak, MI 48073, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Onur","family":"Turkoglu","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynecology, Oakland University-William Beaumont School of Medicine, 318 Meadow Brook Road, Rochester, MI 48309, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1001-0002","authenticated-orcid":false,"given":"Stewart F.","family":"Graham","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynecology, Oakland University-William Beaumont School of Medicine, 318 Meadow Brook Road, Rochester, MI 48309, USA"},{"name":"Metabolomics Division, Beaumont Research Institute, 3811 W. 13 Mile Road, Royal Oak, MI 48073, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2023,12,18]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Hasin, Y., Seldin, M., and Lusis, A. 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