Evidence map›Paper›PMID 40149902›Full record

ArticleBiomolecules2025

On-Tissue Chemical Derivatization for Mass Spectrometry Imaging of Fatty Acids with Enhanced Detection Sensitivity.

Malik Ebbini, Zicong Wang, Hua Zhang, Kelly H Lu, Penghsuan Huang, Cameron J Kaminsky, Luigi Puglielli, Lingjun Li

Abstract read
In one paragraph

Article in Biomolecules, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Malik EbbiniSchool of Pharmacy, University of Wisconsin-Madison, Madison, WI 53705, USA.
Zicong WangSchool of Pharmacy, University of Wisconsin-Madison, Madison, WI 53705, USA.ORCID 0009-0007-1965-6447
Hua ZhangSchool of Pharmacy, University of Wisconsin-Madison, Madison, WI 53705, USA.
Kelly H LuDepartment of Chemistry, University of Wisconsin-Madison, Madison, WI 53706, USA.ORCID 0000-0003-1194-5563
Penghsuan HuangDepartment of Chemistry, University of Wisconsin-Madison, Madison, WI 53706, USA.ORCID 0000-0002-5058-5399
Cameron J KaminskyDepartment of Chemistry, University of Wisconsin-Madison, Madison, WI 53706, USA.ORCID 0000-0002-5036-393X
Luigi PuglielliDepartment of Medicine, University of Wisconsin-Madison, Madison, WI 53705, USA.
Lingjun LiSchool of Pharmacy, University of Wisconsin-Madison, Madison, WI 53705, USA.ORCID 0000-0003-0056-3869

Funding

WU P&FP30DK020579 · NIDDK · WASHINGTON UNIVERSITY · PI David W Piston · 2013 to 2026
$27.1M
Biotechnology Training ProgramT32GM135066 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI SCOTT M. COYLE, BRIAN G FOX · 2020 to 2026
$7.0M
Mass Spectrometric Studies of Neuropeptides in FeedingR01DK071801 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI LINGJUN LI · 2006 to 2026
$6.7M
Creating a region- specific biomolecular atlas of the brain of Alzheimer’s diseaseR01AG078794 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI LINGJUN LI, Luigi Puglielli · 2022 to 2026
$3.7M
DiLeu-enabled multiplexed quantitation for biomarker discovery and validation in Alzheimer’s diseaseR01AG052324 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI LINGJUN LI · 2023 to 2026
$2.3M
Acquisition of a High-Field Dual Source FTICR-MS for Pharmaceutical ResearchS10RR029531 · NCRR · UNIVERSITY OF WISCONSIN-MADISON · PI LI, LINGJUN · 2011 to 2011
$2.1M
Acquisition of a Dual-Source, High-Performance, Ion Mobility, Quadrupole Time-of-Flight Mass Spectrometry System for Biomedical Research at UW-MadisonS10OD028473 · OD · UNIVERSITY OF WISCONSIN-MADISON · PI LI, LINGJUN · 2021 to 2021
$1.3M
Acquisition of a High Resolution High Speed MALDI Mass Spectrometer for Biomedical Research at UW-MadisonS10OD025084 · OD · UNIVERSITY OF WISCONSIN-MADISON · PI LI, LINGJUN · 2018 to 2018
$598k
NCRR NIH HHS S10 RR029531NIA NIH HHS R01 AG052324NIA NIH HHS R01 AG078794NIDDK NIH HHS P30 DK020579NIDDK NIH HHS R01 DK071801NIGMS NIH HHS T32 GM135066NIH HHS R01 AG078794, R01 DK071801, R01 AG052324, S10 OD025084, S10 OD028473, and S10 RR029531NIH HHS S10 OD025084NIH HHS S10 OD028473
6 · The paper itself

Abstract

The dysregulation of fatty acid (FA) metabolism is linked to various brain diseases, including Alzheimer's disease (AD). Mass spectrometry imaging (MSI) allows for the visualization of FA distribution in brain tissues but is often limited by low detection sensitivity and high background interference. In this work, we introduce a novel on-tissue chemical derivatization method for FAs using Girard's Reagent T (GT) as a derivatization reagent combined with 2-chloro-1-methylpyridinium iodide (CMPI) as a coupling reagent and triethylamine (TEA) to provide a basic environment for the reaction. This method significantly enhances the detection sensitivity of FAs, achieving a 1000-fold improvement over traditional negative ion mode analysis. Our method enabled us to observe a notable depletion of oleic acid in the corpus callosum of AD mouse model brain tissue sections compared to wild-type control brain tissue sections. The reliability of our method was validated using LC-MS/MS, which confirmed the presence of eight distinct GT-labeled FAs across various tissue locations. This approach not only improves FA detection in brain tissues but also has the potential to provide a deeper understanding of FA dynamics associated with AD pathogenesis.

Indexed as

Alzheimer DiseaseFatty AcidsAnimalsBrainChromatography, LiquidDisease Models, AnimalMiceMice, Inbred C57BLTandem Mass SpectrometryFatty AcidsAlzheimer’s disease mouse modelfatty acidsMALDImass spectrometry imagingon-tissue chemical derivatization

Identifiers

PMID40149902
PMCPMC11940502

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.