Evidence map›Paper›PMID 40014569›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

Tandem metabolic reaction-based sensors unlock in vivo metabolomics.

Xuanbing Cheng, Zongqi Li, Jialun Zhu, Jingyu Wang, Ruyi Huang, Lewis W Yu, Shuyu Lin, Sarah Forman, Evelina Gromilina, Sameera Puri and 19 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

29 authors.

Xuanbing Cheng *Interconnected and Integrated Bioelectronics Lab (I²BL), Department of Electrical and Computer Engineering, Samueli School of Engineering, University of California, Los Angeles, CA 90095.ORCID 0000-0001-7682-0759
Zongqi Li *Interconnected and Integrated Bioelectronics Lab (I²BL), Department of Electrical and Computer Engineering, Samueli School of Engineering, University of California, Los Angeles, CA 90095.
Jialun Zhu *Interconnected and Integrated Bioelectronics Lab (I²BL), Department of Electrical and Computer Engineering, Samueli School of Engineering, University of California, Los Angeles, CA 90095.
Jingyu WangDepartment of Chemistry and Biochemistry, University of California, Los Angeles, CA 90095.ORCID 0000-0003-2657-7345
Ruyi HuangDepartment of Neurosurgery, David Geffen School of Medicine, University of California, Los Angeles, CA 90095.
Lewis W YuDepartment of Integrative Biology and Physiology, University of California, Los Angeles, CA 90095.
Shuyu LinInterconnected and Integrated Bioelectronics Lab (I²BL), Department of Electrical and Computer Engineering, Samueli School of Engineering, University of California, Los Angeles, CA 90095.ORCID 0000-0002-5248-6124
Sarah FormanInterconnected and Integrated Bioelectronics Lab (I²BL), Department of Electrical and Computer Engineering, Samueli School of Engineering, University of California, Los Angeles, CA 90095.
Evelina GromilinaInterconnected and Integrated Bioelectronics Lab (I²BL), Department of Electrical and Computer Engineering, Samueli School of Engineering, University of California, Los Angeles, CA 90095.
Sameera PuriInterconnected and Integrated Bioelectronics Lab (I²BL), Department of Electrical and Computer Engineering, Samueli School of Engineering, University of California, Los Angeles, CA 90095.
Pritesh PatelInterconnected and Integrated Bioelectronics Lab (I²BL), Department of Electrical and Computer Engineering, Samueli School of Engineering, University of California, Los Angeles, CA 90095.
Mohammadreza BahramianInterconnected and Integrated Bioelectronics Lab (I²BL), Department of Electrical and Computer Engineering, Samueli School of Engineering, University of California, Los Angeles, CA 90095.
Jiawei TanInterconnected and Integrated Bioelectronics Lab (I²BL), Department of Electrical and Computer Engineering, Samueli School of Engineering, University of California, Los Angeles, CA 90095.
Hannaneh HojaijiInterconnected and Integrated Bioelectronics Lab (I²BL), Department of Electrical and Computer Engineering, Samueli School of Engineering, University of California, Los Angeles, CA 90095.ORCID 0000-0002-1963-5458
David JelinekDepartment of Molecular, Cell and Developmental Biology, University of California, Los Angeles, CA 90095.
Laurent VoisinDepartment of Molecular, Cell and Developmental Biology, University of California, Los Angeles, CA 90095.
Kristie B YuDepartment of Integrative Biology and Physiology, University of California, Los Angeles, CA 90095.
Ao ZhangDepartment of Materials Science and Engineering, Samueli School of Engineering, University of California, Los Angeles, CA 90095.
Connie HoInterconnected and Integrated Bioelectronics Lab (I²BL), Department of Electrical and Computer Engineering, Samueli School of Engineering, University of California, Los Angeles, CA 90095.
Lei LeiDepartment of Molecular, Cell and Developmental Biology, University of California, Los Angeles, CA 90095.
Hilary A CollerDepartment of Molecular, Cell and Developmental Biology, University of California, Los Angeles, CA 90095.
Elaine Y HsiaoDepartment of Integrative Biology and Physiology, University of California, Los Angeles, CA 90095.
Beck L ReyesDivision of Pediatric Neurology, Department of Pediatrics, University of California, Los Angeles, CA 90095.
Joyce H MatsumotoDivision of Pediatric Neurology, Department of Pediatrics, University of California, Los Angeles, CA 90095.
Daniel C LuDepartment of Neurosurgery, David Geffen School of Medicine, University of California, Los Angeles, CA 90095.
Chong LiuDepartment of Chemistry and Biochemistry, University of California, Los Angeles, CA 90095.ORCID 0000-0001-5546-3852
Carlos MillaThe Stanford Cystic Fibrosis Center, Center for Excellence in Pulmonary Biology, Stanford University School of Medicine, Stanford, CA 94305.ORCID 0000-0001-5515-3053
Ronald W DavisStanford Genome Technology Center, Stanford University School of Medicine, Stanford, CA 94304.ORCID 0000-0003-3123-2333
Sam EmaminejadInterconnected and Integrated Bioelectronics Lab (I²BL), Department of Electrical and Computer Engineering, Samueli School of Engineering, University of California, Los Angeles, CA 90095.ORCID 0000-0003-0132-152X

Funding

UCLA-Caltech Medical Scientist Training ProgramT32GM008042 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI AJIJOLA, OLUJIMI A, DAWSON, DAVID WAYNE · 1985 to 2023
$29.9M
Stimulation of novel spinal respiratory circuit to restore breathing in ventilator-dependent patients with SCI.UH3NS119772 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Daniel Lu · 2021 to 2026
$4.9M
Characterization of Novel Neural Respiratory Circuit to Counter Opioid-Induced Respiratory DepressionR01DA047637 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LU, DANIEL · 2020 to 2024
$3.5M
Spatiotemporal control of concentration gradients with electrochemistry in extracelluar spaceR35GM138241 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Chong Liu · 2020 to 2026
$2.8M
An Autonomous, Non-invasive, and Bioanalytics-enabled Wearable Platform for Precision Nutrition and Personalized MedicineR33DK128711 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI EMAMINEJAD, SAM, MILLA, CARLOS · 2023 to 2025
$1.9M
Dissecting Microbiota-Gut-Brain Interactions for the Anti-Seizure Effects of the Ketogenic DietR01NS115537 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HSIAO, ELAINE · 2020 to 2024
$1.7M
An Autonomous, Non-invasive, and Bioanalytics-enabled Wearable Platform for Precision Nutrition and Personalized MedicineR21DK128711 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI EMAMINEJAD, SAM, MILLA, CARLOS · 2021 to 2022
$407k
Elisabeth K. Harris Foundation Trust N/AHHS | National Institutes of Health (NIH) 5R21DK128711-02HHS | National Institutes of Health (NIH) R01NS115537HHS | National Institutes of Health (NIH) R35GM138241HHS | NIH | National Institute of Neurological Disorders and Stroke (NINDS) UH3NS119772HHS | NIH | National Institute on Drug Abuse (NIDA) R01DA047637NIDA NIH HHS R01 DA047637NIDDK NIH HHS R21 DK128711NIDDK NIH HHS R33 DK128711NIGMS NIH HHS R35 GM138241NIGMS NIH HHS T32 GM008042NINDS NIH HHS R01 NS115537NINDS NIH HHS UH3 NS119772
6 · The paper itself

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 metabolites, with 100-fold-enhanced signal-to-noise ratio and days-long stability. Leveraging these sensors, we monitored trace endogenous metabolites in sweat/saliva for noninvasive health monitoring, and a bacterial metabolite in the brain, marking a key milestone for unraveling gut microbiota-brain axis dynamics.

Indexed as

Biosensing TechniquesMetabolomicsBrainElectrochemical TechniquesElectrodesGastrointestinal MicrobiomeHumansMetabolic Networks and PathwaysMetabolomeNanotubes, CarbonSweatNanotubes, Carboncofactor-assisted enzymatic reactionsin vivo metabolomicsmicrobiomepersonalized medicinewearable and implantable metabolite sensors

Identifiers

PMID40014569
PMCPMC11892595

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.