ArticleResearch square2026
Hyperpolarized
Tamara Vasilkovska, Lydia M Le Page, Caroline Guglielmetti, Marina Radoul, Huihui Li, Xiao Ji, Jeremy W Gordon, Ken Nakamura, Myriam M Chaumeil
Abstract readPreprint
In one paragraphArticle in Research square, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
9 authors.
Tamara VasilkovskaUniversity of California, San Francisco.
Lydia M Le PageUniversity of California, San Francisco.
Caroline GuglielmettiUniversity of California, San Francisco.
Marina RadoulUniversity of California, San Francisco.
Huihui LiGladstone Institutes.
Xiao JiUniversity of California, San Francisco.
Jeremy W GordonUniversity of California, San Francisco.
Ken NakamuraGladstone Institutes.
Myriam M ChaumeilUniversity of California, San Francisco.
Funding
Defining Strategies to Target Energy Failure in Metabolically Vulnerable Human CellsR01AG065428 · NIA · J. DAVID GLADSTONE INSTITUTES · PI NAKAMURA, KEN · 2020 to 2024
$3.7MUnderstand and probing disrupted glucose metabolism in Alzheimer's diseaseRF1AG064170 · NIA · J. DAVID GLADSTONE INSTITUTES · PI CHAUMEIL, MYRIAM MARIANNE, NAKAMURA, KEN · 2019 to 2019
$3.6MMR Metabolic Imaging of Multiple SclerosisR01NS102156 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Jeremy William Gordon, Ari J Green · 2017 to 2026
$3.4MEXTRAMULAR RESEARCH FACILITIES CONSTRUCTIONC06RR018928 · NCRR · J. DAVID GLADSTONE INSTITUTES · PI MAHLEY, ROBERT W. · 2003 to 2003
$2.1MImaging innate and adaptive immune response in MS using using [18F]F-AraG PET and hyperpolarized 13C MRSIR21AI153749 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CHAUMEIL, MYRIAM MARIANNE, GUGLIELMETTI, CAROLINE · 2020 to 2021
$444kNCRR NIH HHS C06 RR018928NIAID NIH HHS R21 AI153749NIA NIH HHS R01 AG065428NIA NIH HHS RF1 AG064170NINDS NIH HHS R01 NS102156
6 · The paper itselfAbstract
Impaired brain energy metabolism is an early feature of Alzheimer's disease (AD), but the standard metabolic imaging tool, [
Indexed as
Alzheimer’s diseaseamyloid betabiomarkerbrain metabolismhyperpolarized 13C MRSImetabolomics
Identifiers
PMID42620228
PMCPMC13484443
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