Evidence mapPaperPMID 36067168Full record

ArticlePloS one2022

Spatially resolved characterization of tissue metabolic compartments in fasted and high-fat diet livers.

Sylwia A Stopka, Jiska van der Reest, Walid M Abdelmoula, Daniela F Ruiz, Shakchhi Joshi, Alison E Ringel, Marcia C Haigis, Nathalie Y R Agar

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.3field-weighted citation impact, top 21% of its field
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

10 citing papers in PubMed, 15 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Sylwia A StopkaDepartment of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United Statees of America.ORCID 0000-0003-3761-6899
Jiska van der ReestDepartment of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United Statees of America.ORCID 0000-0002-7579-8905
Walid M AbdelmoulaDepartment of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United Statees of America.
Daniela F RuizDepartment of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United Statees of America.
Shakchhi JoshiDepartment of Cell Biology, Blavatnik Institute, Ludwig Center, Harvard Medical School, Boston, MA, United Statees of America.
Alison E RingelDepartment of Cell Biology, Blavatnik Institute, Ludwig Center, Harvard Medical School, Boston, MA, United Statees of America.
Marcia C HaigisDepartment of Cell Biology, Blavatnik Institute, Ludwig Center, Harvard Medical School, Boston, MA, United Statees of America.ORCID 0000-0003-2530-2681
Nathalie Y R AgarDepartment of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United Statees of America.ORCID 0000-0003-3149-3146
Brigham and Women's Hospital · USHarvard University · US

Funding

TRD 3 - Enabling Technologies for Intraprocedural GuidanceP41EB028741 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · 2022 to 2025
$6.8M
CaNCURE: Cancer Nanomedicine Co-ops for Undergraduate Research ExperiencesR25CA174650 · NORTHEASTERN UNIVERSITY · 2025 to 2025
$308k
NCI NIH HHS R25 CA174650NCI NIH HHS U54 CA210180NIBIB NIH HHS P41 EB028741NIDDK NIH HHS R01 DK127278
6 · The paper itself

Abstract

Cells adapt their metabolism to physiological stimuli, and metabolic heterogeneity exists between cell types, within tissues, and subcellular compartments. The liver plays an essential role in maintaining whole-body metabolic homeostasis and is structurally defined by metabolic zones. These zones are well-understood on the transcriptomic level, but have not been comprehensively characterized on the metabolomic level. Mass spectrometry imaging (MSI) can be used to map hundreds of metabolites directly from a tissue section, offering an important advance to investigate metabolic heterogeneity in tissues compared to extraction-based metabolomics methods that analyze tissue metabolite profiles in bulk. We established a workflow for the preparation of tissue specimens for matrix-assisted laser desorption/ionization (MALDI) MSI that can be implemented to achieve broad coverage of central carbon, nucleotide, and lipid metabolism pathways. Herein, we used this approach to visualize the effect of nutrient stress and excess on liver metabolism. Our data revealed a highly organized metabolic tissue compartmentalization in livers, which becomes disrupted under high fat diet. Fasting caused changes in the abundance of several metabolites, including increased levels of fatty acids and TCA intermediates while fatty livers had higher levels of purine and pentose phosphate-related metabolites, which generate reducing equivalents to counteract oxidative stress. This spatially conserved approach allowed the visualization of liver metabolic compartmentalization at 30 μm pixel resolution and can be applied more broadly to yield new insights into metabolic heterogeneity in vivo.

Indexed as

Diet, High-FatFastingLiverMetabolomicsSpectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization

Identifiers

PMID36067168
PMCPMC9447892
OpenAlexW4294797980

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.