Article in Nature metabolism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
0numbers the graph read from it
0cells of the map it votes in
5citing 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.
Pradip K SahaDivision of Diabetes, Endocrinology and Metabolism, Baylor College of Medicine, Houston, TX, USA.
Evelyn L de GrootDivision of Diabetes, Endocrinology and Metabolism, Baylor College of Medicine, Houston, TX, USA.
Lin TanMetabolomics Core Facility, Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Robert SharpDivision of Diabetes, Endocrinology and Metabolism, Baylor College of Medicine, Houston, TX, USA.
Elizabeth S AnayaDivision of Diabetes, Endocrinology and Metabolism, Baylor College of Medicine, Houston, TX, USA.
Yafang LiDepartment of Medicine, Baylor College of Medicine, Houston, TX, USA.
Philip L LorenziMetabolomics Core Facility, Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID http://orcid.org/0000-0003-0385-7774
Sean M HartigDivision of Diabetes, Endocrinology and Metabolism, Baylor College of Medicine, Houston, TX, USA. hartig@bcm.edu.ORCID http://orcid.org/0000-0002-2695-2072
Funding
Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI DIANE BODURKA · 1985 to 2026
$290.8M
Tumor BiologyP30CA125123 · NCI · BAYLOR COLLEGE OF MEDICINE · PI Suzanne AW Fuqua · 2007 to 2026
$73.9M
Washington University Nutrition Obesity Research CenterP30DK056341 · NIDDK · WASHINGTON UNIVERSITY · PI Dominic N Reeds · 1999 to 2026
$30.2M
Tissue Analysis & Molecular Imaging CoreP30DK056338 · NIDDK · BAYLOR COLLEGE OF MEDICINE · PI Hashem B El-Serag · 2001 to 2026
$28.3M
Translational Research Support CoreP30ES030285 · NIEHS · BAYLOR COLLEGE OF MEDICINE · PI Cheryl L. Walker · 2019 to 2026
$14.7M
METABOLIC IMPACTS OF TYPE II INTERFERON SIGNALS IN OBESITYR01DK114356 · NIDDK · BAYLOR COLLEGE OF MEDICINE · PI HARTIG, SEAN · 2017 to 2025
$4.6M
Metabolic impact of FGF-21 in adipose tissue and liver of PLWHR01DK126042 · NIDDK · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI LAKE, JORDAN E · 2020 to 2024
$3.4M
Assessing the Interrelationship Between Adipose Tissue Thermogenesis and Fibrosis in the Metabolic Health of People Living with HIVR01DK141041 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PETER W HUNT, SUNEIL Krishna KOLIWAD · 2024 to 2026
$2.3M
MICRORNA REGULATION OF ADIPOSE TISSUE IMMUNE RESPONSE IN OBESITYR01DK139397 · NIDDK · BAYLOR COLLEGE OF MEDICINE · PI Sean Hartig, Huaizhu Wu · 2024 to 2026
$2.0M
Molecular regulation of leptin bioavailabilityR01DK138018 · NIDDK · BAYLOR COLLEGE OF MEDICINE · PI Sean Hartig · 2024 to 2026
$1.9M
ACQUISITION OF THE YOKOGAWA CV8000 HIGH THROUGHPUT SPINNING DISK MICROSCOPE AND ROBOTICSS10OD030414 · OD · BAYLOR COLLEGE OF MEDICINE · PI MANCINI, MICHAEL A. · 2022 to 2022
$1.4M
Understanding methionine metabolism and its therapeutic potential in cancerR00CA237618 · NCI · BAYLOR COLLEGE OF MEDICINE · PI GAO, XIA · 2022 to 2024
$747k
NCI NIH HHS P30 CA016672NCI NIH HHS P30 CA125123NCI NIH HHS R00 CA237618NIDDK NIH HHS F31 DK130596NIDDK NIH HHS P30 DK056338NIDDK NIH HHS P30 DK056341NIDDK NIH HHS R01 DK114356NIDDK NIH HHS R01 DK126042NIDDK NIH HHS R01 DK138018NIDDK NIH HHS R01 DK139397NIDDK NIH HHS R01 DK141041NIDDK NIH HHS R56 DK133997NIEHS NIH HHS P30 ES030285NIH HHS S10 OD030414U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) R00CA237618U.S. Department of Health & Human Services | NIH | National Institute of Diabetes and Digestive and Kidney Diseases (National Institute of Diabetes & Digestive & Kidney Diseases) F31DK130596U.S. Department of Health & Human Services | NIH | National Institute of Diabetes and Digestive and Kidney Diseases (National Institute of Diabetes & Digestive & Kidney Diseases) R01DK114356U.S. Department of Health & Human Services | NIH | National Institute of Diabetes and Digestive and Kidney Diseases (National Institute of Diabetes & Digestive & Kidney Diseases) R01DK138018U.S. Department of Health & Human Services | NIH | National Institute of Diabetes and Digestive and Kidney Diseases (National Institute of Diabetes & Digestive & Kidney Diseases) R01DK139397
6 · The paper itself
Abstract
N-acetylaspartate (NAA), the brain's second most abundant metabolite, provides essential substrates for myelination through its hydrolysis
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.
N-acetylaspartate from fat cells regulates postprandial body temperature. · full record | OpenQuestion