<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Cheng X</submitter><funding>HHS | National Institutes of Health</funding><funding>Elisabeth K. Harris Foundation Trust</funding><funding>HHS | National Institutes of Health (NIH)</funding><funding>NIDDK NIH HHS</funding><funding>NIDA NIH HHS</funding><funding>HHS | NIH | National Institute of Neurological Disorders and Stroke (NINDS)</funding><funding>HHS | NIH | National Institute of Neurological Disorders and Stroke</funding><funding>HHS | NIH | National Institute on Drug Abuse (NIDA)</funding><funding>HHS | NIH | National Institute on Drug Abuse</funding><funding>NINDS NIH HHS</funding><funding>NIGMS NIH HHS</funding><pagination>e2425526122</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11892595</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>122(9)</volume><pubmed_abstract>Mimicking metabolic pathways on electrodes enables in vivo metabolite monitoring for decoding metabolism. Conventional in vivo sensors cannot accommodate underlying complex reactions involving multiple enzymes and cofactors, addressing only a fraction of enzymatic reactions for few metabolites. We devised a single-wall-carbon-nanotube-electrode architecture supporting tandem metabolic pathway-like reactions linkable to oxidoreductase-based electrochemical analysis, making a vast majority of metabolites detectable in vivo. This architecture robustly integrates cofactors, self-mediates reactions at maximum enzyme capacity, and facilitates metabolite intermediation/detection and interference inactivation through multifunctional enzymatic use. Accordingly, we developed sensors targeting 12 met</pubmed_abstract><journal>Proceedings of the National Academy of Sciences of the United States of America</journal><pubmed_title>Tandem metabolic reaction-based sensors unlock in vivo metabolomics.</pubmed_title><pmcid>PMC11892595</pmcid><funding_grant_id>N/A</funding_grant_id><funding_grant_id>R33 DK128711</funding_grant_id><funding_grant_id>R35GM138241</funding_grant_id><funding_grant_id>5R21DK128711-02</funding_grant_id><funding_grant_id>R01DA047637</funding_grant_id><funding_grant_id>R01NS115537</funding_grant_id><funding_grant_id>UH3 NS119772</funding_grant_id><funding_grant_id>R01 DA047637</funding_grant_id><funding_grant_id>R01 NS115537</funding_grant_id><funding_grant_id>R35 GM138241</funding_grant_id><funding_grant_id>UH3NS119772</funding_grant_id><funding_grant_id>R21 DK128711</funding_grant_id><pubmed_authors>Bahramian M</pubmed_authors><pubmed_authors>Lei L</pubmed_authors><pubmed_authors>Reyes BL</pubmed_authors><pubmed_authors>Lin S</pubmed_authors><pubmed_authors>Davis RW</pubmed_authors><pubmed_authors>Hojaiji H</pubmed_authors><pubmed_authors>Jelinek D</pubmed_authors><pubmed_authors>Emaminejad S</pubmed_authors><pubmed_authors>Cheng X</pubmed_authors><pubmed_authors>Wang J</pubmed_authors><pubmed_authors>Huang R</pubmed_authors><pubmed_authors>Patel P</pubmed_authors><pubmed_authors>Gromilina E</pubmed_authors><pubmed_authors>Forman S</pubmed_authors><pubmed_authors>Milla C</pubmed_authors><pubmed_authors>Zhang A</pubmed_authors><pubmed_authors>Yu KB</pubmed_authors><pubmed_authors>Puri S</pubmed_authors><pubmed_authors>Tan J</pubmed_authors><pubmed_authors>Ho C</pubmed_authors><pubmed_authors>Lu DC</pubmed_authors><pubmed_authors>Li Z</pubmed_authors><pubmed_authors>Zhu J</pubmed_authors><pubmed_authors>Yu LW</pubmed_authors><pubmed_authors>Matsumoto JH</pubmed_authors><pubmed_authors>Coller HA</pubmed_authors><pubmed_authors>Liu C</pubmed_authors><pubmed_authors>Voisin L</pubmed_authors><pubmed_authors>Hsiao EY</pubmed_authors></additional><is_claimable>false</is_claimable><name>Tandem metabolic reaction-based sensors unlock in vivo metabolomics.</name><description>Mimicking metabolic pathways on electrodes enables in vivo metabolite monitoring for decoding metabolism. Conventional in vivo sensors cannot accommodate underlying complex reactions involving multiple enzymes and cofactors, addressing only a fraction of enzymatic reactions for few metabolites. We devised a single-wall-carbon-nanotube-electrode architecture supporting tandem metabolic pathway-like reactions linkable to oxidoreductase-based electrochemical analysis, making a vast majority of metabolites detectable in vivo. This architecture robustly integrates cofactors, self-mediates reactions at maximum enzyme capacity, and facilitates metabolite intermediation/detection and interference inactivation through multifunctional enzymatic use. Accordingly, we developed sensors targeting 12 met</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Mar</publication><modification>2026-05-29T16:49:24.279Z</modification><creation>2025-04-04T02:21:55.809Z</creation></dates><accession>S-EPMC11892595</accession><cross_references><pubmed>40014569</pubmed><doi>10.1073/pnas.2425526122</doi></cross_references></HashMap>