Evidence map›Paper›PMID 39641513›Full record

ArticleElectrophoresis2025

Quantitative Endogenous Polyamine Analysis via Capillary Electrophoresis/Mass Spectrometry: Characterization and Practical Considerations.

Cameron J Kaminsky, Jericha Mill, Thomas Raife, Lingjun Li

Abstract read
In one paragraph

Article in Electrophoresis, 2025. 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
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Cameron J KaminskyDepartment of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Jericha MillDepartment of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Thomas RaifeDepartment of Pathology & Laboratory Medicine, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Lingjun LiDepartment of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin, USA.

Funding

Biology of Aging and Age-Related Diseases Training GrantT32AG000213 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Rozalyn M. Anderson, Sanjay Asthana · 1991 to 2026
$9.9M
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 700 MHz NMR for Automated Chemical/Peptide Library ScreeningS10RR025084 · NCRR · DARTMOUTH COLLEGE · PI MIERKE, DALE F · 2010 to 2010
$1.8M
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
Probing Protein Structural Changes in Alzheimers DiseaseR21AG065728 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI LI, LINGJUN · 2020 to 2020
$420k
Biology of Aging and Age-Related Diseases T32AG000213NCRR NIH HHS S10 RR029531NIA NIH HHS R01 AG052324NIA NIH HHS R01 AG078794NIA NIH HHS R21 AG065728NIA NIH HHS T32 AG000213NIDDK NIH HHS R01 DK071801NIGMS NIH HHS T32 GM135066NIH HHS R01 DK071801NIH HHS R21AG065728NIH HHS S10 OD025084NIH HHS S10 OD028473NIH-NCRR S10OD025084NIH-NCRR S10OD028473NIH-NCRR S10RR029531
6 · The paper itself

Abstract

Commonly used analytical techniques for polyamine analysis, including derivatization and mixed-mode liquid chromatography (LC), have inherent disadvantages. Capillary electrophoresis (CE) is uniquely suited to analyze small, highly charged molecules because analytes are separated on the basis of their electrophoretic mobility, not polarity or association with a stationary phase. Microfluidic CE-mass spectrometry (mCE-MS) is a relatively recent addition to commercially available CE offerings that streamlines traditional CE-MS interfacing and has the potential to improve upon classic CE challenges to robustness and reproducibility. MS instrument choice and scanning parameters are strongly influenced by a need for high acquisition rate to adequately sample CE peaks. Alternatively, isotachophoresis on loading can be intentionally avoided to produce sufficiently wide peaks. The mCE platform utilized here performed very well in many metrics; a limit of detection (LOD) as low as 0.25 ng/mL was achieved for spermidine, and endogenous spermidine was easily detected in blood with this method. Both of these are challenging tasks for any separation technique and demonstrate a strong use case for the platform. During experimentation, various idiosyncrasies in the commercial CE-MS interface resulted in extensive chip-to-chip variability in both peak shape and LOD, complicating the application to robust absolute quantitation. Practical guidance for similar analyses is provided.

Indexed as

Mass SpectrometryPolyaminesSpermidineElectrophoresis, CapillaryHumansLimit of DetectionReproducibility of ResultsPolyaminesSpermidinemicrofluidicpolyaminequantitationspermidine

Identifiers

PMID39641513
PMCPMC11952281

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

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.