{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T10:05:57Z","timestamp":1790762757149,"version":"4.1.0"},"reference-count":35,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2027,2,1]],"date-time":"2027-02-01T00:00:00Z","timestamp":1801440000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2027,2,1]],"date-time":"2027-02-01T00:00:00Z","timestamp":1801440000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2027,2,1]],"date-time":"2027-02-01T00:00:00Z","timestamp":1801440000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2027,2,1]],"date-time":"2027-02-01T00:00:00Z","timestamp":1801440000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2027,2,1]],"date-time":"2027-02-01T00:00:00Z","timestamp":1801440000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2027,2,1]],"date-time":"2027-02-01T00:00:00Z","timestamp":1801440000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2027,2,1]],"date-time":"2027-02-01T00:00:00Z","timestamp":1801440000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Computational Biology and Chemistry"],"published-print":{"date-parts":[[2027,2]]},"DOI":"10.1016\/j.compbiolchem.2026.109417","type":"journal-article","created":{"date-parts":[[2026,9,15]],"date-time":"2026-09-15T18:02:42Z","timestamp":1789495362000},"page":"109417","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"P1","title":["Bioinformatics-driven discovery and cross-cohort validation of a two-gene signature (RPH3A and HIGD1B) associated with Alzheimer's disease"],"prefix":"10.1016","volume":"126","author":[{"given":"Fuqiang","family":"Chen","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.compbiolchem.2026.109417_bib1","doi-asserted-by":"crossref","DOI":"10.3389\/fmed.2026.1767090","article-title":"Advances in AI-based diagnosis of Alzheimer's disease using MRI: a comprehensive survey","volume":"13","author":"Alyaqoobi","year":"2026","journal-title":"Front. Med."},{"issue":"4","key":"10.1016\/j.compbiolchem.2026.109417_bib2","doi-asserted-by":"crossref","first-page":"1598","DOI":"10.1002\/alz.13016","article-title":"2023 Alzheimer's disease facts and figures","volume":"19","year":"2023","journal-title":"Alzheimers Dement."},{"issue":"1","key":"10.1016\/j.compbiolchem.2026.109417_bib3","doi-asserted-by":"crossref","first-page":"301","DOI":"10.3233\/JAD-190568","article-title":"Inferring the molecular mechanisms of noncoding Alzheimer's disease-associated genetic variants","volume":"72","author":"Amlie-Wolf","year":"2019","journal-title":"J. Alzheimers Dis."},{"key":"10.1016\/j.compbiolchem.2026.109417_bib4","doi-asserted-by":"crossref","first-page":"367","DOI":"10.1007\/s13167-020-00216-z","article-title":"Differences in cohort study data affect external validation of artificial intelligence models for predictive diagnostics of dementia\u2014lessons for translation into clinical practice","volume":"11","author":"Birkenbihl","year":"2020","journal-title":"EPMA J."},{"key":"10.1016\/j.compbiolchem.2026.109417_bib5","doi-asserted-by":"crossref","DOI":"10.1016\/j.nbd.2023.106127","article-title":"Respective influence of beta-amyloid and APOE \u03b54 genotype on medial temporal lobe subregions in cognitively unimpaired older adults","volume":"181","author":"de Flores","year":"2023","journal-title":"Neurobiol. Dis."},{"key":"10.1016\/j.compbiolchem.2026.109417_bib6","doi-asserted-by":"crossref","DOI":"10.3389\/fnagi.2025.1591946","article-title":"Predictive gene expression signatures for Alzheimer's disease using post-mortem brain tissue","volume":"17","author":"Duche","year":"2025","journal-title":"Front. Aging Neurosci."},{"key":"10.1016\/j.compbiolchem.2026.109417_bib7","doi-asserted-by":"crossref","DOI":"10.1016\/j.compbiolchem.2025.108475","article-title":"Identification and validation of biomarkers in Alzheimer's disease based on machine learning algorithms and single-cell sequencing analysis","volume":"118","author":"Fan","year":"2025","journal-title":"Comput. Biol. Chem."},{"key":"10.1016\/j.compbiolchem.2026.109417_bib8","doi-asserted-by":"crossref","first-page":"6479","DOI":"10.1038\/s41598-025-90578-z","article-title":"Identification of UBE2N as a biomarker of Alzheimer's disease by combining WGCNA with machine learning algorithms","volume":"15","author":"Feng","year":"2025","journal-title":"Sci. Rep."},{"key":"10.1016\/j.compbiolchem.2026.109417_bib9","doi-asserted-by":"crossref","first-page":"1","DOI":"10.18637\/jss.v033.i01","article-title":"Regularization paths for generalized linear models via coordinate descent","volume":"33","author":"Friedman","year":"2010","journal-title":"J. Stat. Softw."},{"key":"10.1016\/j.compbiolchem.2026.109417_bib10","doi-asserted-by":"crossref","DOI":"10.1016\/j.bspc.2025.108582","article-title":"Gastric cancer detection using a hybrid version of gated recurrent unit network and adjusted Tyrannosaurus Optimization Algorithm","volume":"112","author":"Gong","year":"2026","journal-title":"Biomed. Signal. Process. Control."},{"key":"10.1016\/j.compbiolchem.2026.109417_bib11","doi-asserted-by":"crossref","DOI":"10.1016\/j.bspc.2024.106324","article-title":"Timely detection of skin cancer: an AI-based approach on the basis of the integration of echo state network and adapted seasons optimization algorithm","volume":"94","author":"Han","year":"2024","journal-title":"Biomed. Signal. Process. Control."},{"key":"10.1016\/j.compbiolchem.2026.109417_bib12","doi-asserted-by":"crossref","first-page":"535","DOI":"10.1016\/j.jalz.2018.02.018","article-title":"NIA-AA research framework: toward a biological definition of Alzheimer's disease","volume":"14","author":"Jack","year":"2018","journal-title":"Alzheimers Dement."},{"key":"10.1016\/j.compbiolchem.2026.109417_bib13","doi-asserted-by":"crossref","DOI":"10.1126\/sciadv.abh2169","article-title":"A single-cell type transcriptomics map of human tissues","volume":"7","author":"Karlsson","year":"2021","journal-title":"Sci. Adv."},{"key":"10.1016\/j.compbiolchem.2026.109417_bib14","doi-asserted-by":"crossref","first-page":"419","DOI":"10.1038\/nrn.2017.48","article-title":"Cerebral blood flow regulation and neurovascular dysfunction in Alzheimer disease","volume":"18","author":"Kisler","year":"2017","journal-title":"Nat. Rev. Neurosci."},{"key":"10.1016\/j.compbiolchem.2026.109417_bib15","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1016\/j.ymeth.2021.08.001","article-title":"NetAUC: a network-based multi-biomarker identification method by AUC optimization","volume":"198","author":"Li","year":"2022","journal-title":"Methods"},{"key":"10.1016\/j.compbiolchem.2026.109417_bib16","doi-asserted-by":"crossref","DOI":"10.1016\/j.bspc.2024.106024","article-title":"Hybrid convolutional neural network and flexible dwarf mongoose optimization algorithm for strong kidney stone diagnosis","volume":"91","author":"Liu","year":"2024","journal-title":"Biomed. Signal. Process. Control."},{"key":"10.1016\/j.compbiolchem.2026.109417_bib17","doi-asserted-by":"crossref","DOI":"10.1016\/j.ijmedinf.2025.105970","article-title":"Show and tell: a critical review on robustness and uncertainty for a more responsible medical AI","volume":"202","author":"Marconi","year":"2025","journal-title":"Int. J. Med. Inform."},{"key":"10.1016\/j.compbiolchem.2026.109417_bib18","doi-asserted-by":"crossref","first-page":"296","DOI":"10.1016\/j.neuron.2014.12.032","article-title":"Blood-brain barrier breakdown in the aging human hippocampus","volume":"85","author":"Montagne","year":"2015","journal-title":"Neuron"},{"key":"10.1016\/j.compbiolchem.2026.109417_bib19","doi-asserted-by":"crossref","DOI":"10.1038\/s41598-024-66693-8","article-title":"Multiple transcriptomic analyses explore potential synaptic biomarker Rabphilin-3A for Alzheimer's disease","volume":"14","author":"Nguyen","year":"2024","journal-title":"Sci. Rep."},{"issue":"2","key":"10.1016\/j.compbiolchem.2026.109417_bib20","doi-asserted-by":"crossref","first-page":"549","DOI":"10.3892\/mmr.2021.12188","article-title":"HIGD-1B inhibits hypoxia-induced mitochondrial fragmentation by regulating OPA1 cleavage in cardiomyocytes","volume":"24","author":"Pang","year":"2021","journal-title":"Mol. Med. Rep."},{"key":"10.1016\/j.compbiolchem.2026.109417_bib21","doi-asserted-by":"crossref","DOI":"10.1016\/j.exger.2022.111828","article-title":"The role of mitochondrial dysfunction in Alzheimer's disease: a potential pathway to treatment","volume":"164","author":"Reiss","year":"2022","journal-title":"Exp. Gerontol."},{"key":"10.1016\/j.compbiolchem.2026.109417_bib22","doi-asserted-by":"crossref","DOI":"10.1093\/nar\/gkv007","article-title":"limma powers differential expression analyses for RNA-sequencing and microarray studies","volume":"43","author":"Ritchie","year":"2015","journal-title":"Nucleic Acids Res."},{"key":"10.1016\/j.compbiolchem.2026.109417_bib23","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1186\/1471-2105-12-77","article-title":"pROC: an open-source package for R and S+ to analyze and compare ROC curves","volume":"12","author":"Robin","year":"2011","journal-title":"BMC Bioinforma."},{"key":"10.1016\/j.compbiolchem.2026.109417_bib24","doi-asserted-by":"crossref","DOI":"10.1186\/s13195-026-02125-1","article-title":"Structural and molecular determinants of medial temporal lobe network vulnerability in aging and Alzheimer's disease","author":"Saul","year":"2026","journal-title":"Alzheimers Res. Ther."},{"key":"10.1016\/j.compbiolchem.2026.109417_bib25","doi-asserted-by":"crossref","first-page":"1577","DOI":"10.1016\/S0140-6736(20)32205-4","article-title":"Alzheimer's disease","volume":"397","author":"Scheltens","year":"2021","journal-title":"Lancet"},{"key":"10.1016\/j.compbiolchem.2026.109417_bib26","doi-asserted-by":"crossref","first-page":"193","DOI":"10.1101\/sqb.2018.83.036889","article-title":"A network explanation of Alzheimer's regional vulnerability","volume":"83","author":"Small","year":"2018","journal-title":"Cold Spring Harb. Symp. Quant. Biol."},{"key":"10.1016\/j.compbiolchem.2026.109417_bib27","doi-asserted-by":"crossref","DOI":"10.34133\/bmef.0202","article-title":"Scoping the landscape of deep learning for Alzheimer's disease stage classification: methods, challenges, and opportunities","volume":"6","author":"Sonko","year":"2025","journal-title":"BME Front."},{"key":"10.1016\/j.compbiolchem.2026.109417_bib28","first-page":"27","article-title":"Decreased rabphilin 3A immunoreactivity in Alzheimer's disease is associated with A\u03b2 burden","volume":"67","author":"Tan","year":"2014","journal-title":"Neurochem. Int."},{"key":"10.1016\/j.compbiolchem.2026.109417_bib29","doi-asserted-by":"crossref","DOI":"10.1038\/s41598-025-01017-y","article-title":"Cross study transcriptomic investigation of Alzheimer's brain tissue discoveries and limitations","volume":"15","author":"Tsurukawa","year":"2025","journal-title":"Sci. Rep."},{"issue":"12","key":"10.1016\/j.compbiolchem.2026.109417_bib30","doi-asserted-by":"crossref","first-page":"1651","DOI":"10.1093\/jamia\/ocz130","article-title":"Predictive analytics in health care: how can we know it works?","volume":"26","author":"Van Calster","year":"2019","journal-title":"J. Am. Med. Inform. Assoc."},{"key":"10.1016\/j.compbiolchem.2026.109417_bib31","doi-asserted-by":"crossref","first-page":"475","DOI":"10.1038\/nature25739","article-title":"A molecular atlas of cell types and zonation in the brain vasculature","volume":"554","author":"Vanlandewijck","year":"2018","journal-title":"Nature"},{"key":"10.1016\/j.compbiolchem.2026.109417_bib32","unstructured":"World Health Organization, 2026. Dementia. Available at: https:\/\/www.who.int\/news-room\/fact-sheets\/detail\/dementia (Accessed: 19 August 2026)."},{"key":"10.1016\/j.compbiolchem.2026.109417_bib33","doi-asserted-by":"crossref","first-page":"2348","DOI":"10.3390\/diagnostics15182348","article-title":"Data leakage in deep learning for Alzheimer's disease diagnosis: A scoping review of methodological rigor and performance inflation","volume":"15","author":"Young","year":"2025","journal-title":"Diagnostics"},{"key":"10.1016\/j.compbiolchem.2026.109417_bib34","doi-asserted-by":"crossref","DOI":"10.1016\/j.bspc.2023.105858","article-title":"A deep learning outline aimed at prompt skin cancer detection utilizing gated recurrent unit networks and improved orca predation algorithm","volume":"90","author":"Zhang","year":"2024","journal-title":"Biomed. Signal. Process. Control."},{"key":"10.1016\/j.compbiolchem.2026.109417_bib35","article-title":"Investigating the biomarkers for Alzheimer's disease: Insights from microarray analysis, Mendelian randomization, and experimental validation","author":"Zhu","year":"2025","journal-title":"Curr. Med. Chem."}],"container-title":["Computational Biology and Chemistry"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S147692712600544X?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S147692712600544X?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T09:50:38Z","timestamp":1790761838000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S147692712600544X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2027,2]]},"references-count":35,"alternative-id":["S147692712600544X"],"URL":"https:\/\/doi.org\/10.1016\/j.compbiolchem.2026.109417","relation":{},"ISSN":["1476-9271"],"issn-type":[{"value":"1476-9271","type":"print"}],"subject":[],"published":{"date-parts":[[2027,2]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Bioinformatics-driven discovery and cross-cohort validation of a two-gene signature (RPH3A and HIGD1B) associated with Alzheimer's disease","name":"articletitle","label":"Article Title"},{"value":"Computational Biology and Chemistry","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.compbiolchem.2026.109417","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"109417"}}