Evidence map›Paper›PMID 41137863›Full record

ArticleBiological trace element research2026

Identification of Nuclearity of Chromium Binary Adducts with DNA by Negative Ion Mass Spectrometry: Short Communication.

Kaleb Kovitch, Qiaoli Liang, Katie Repke, Elizabeth K Atkinson, Stephen A Woski, John B Vincent

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biological trace element research, 2026. 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. Review
  2. Article
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

6 authors.

Kaleb KovitchDepartment of Chemistry and Biochemistry, The University of Alabama, Tuscaloosa, AL, 35487-0336, USA.
Qiaoli LiangDepartment of Chemistry and Biochemistry, The University of Alabama, Tuscaloosa, AL, 35487-0336, USA.
Katie RepkeDepartment of Chemistry and Biochemistry, The University of Alabama, Tuscaloosa, AL, 35487-0336, USA.
Elizabeth K AtkinsonDepartment of Chemistry and Biochemistry, The University of Alabama, Tuscaloosa, AL, 35487-0336, USA.
Stephen A WoskiDepartment of Chemistry and Biochemistry, The University of Alabama, Tuscaloosa, AL, 35487-0336, USA.
John B VincentDepartment of Chemistry and Biochemistry, The University of Alabama, Tuscaloosa, AL, 35487-0336, USA. jvincent@ua.edu.

Funding

Molecular Structure of Chromium-DNA AdductsR15ES033800 · NIEHS · UNIVERSITY OF ALABAMA IN TUSCALOOSA · PI VINCENT, JOHN BERTRAM, WISE, JOHN PIERCE · 2022 to 2022
$434k
NIEHS NIH HHS R15 ES033800NIH HHS R15ES033800
6 · The paper itself

Abstract

Chromium(VI) is a carcinogen and mutagen, and its mechanism of action is proposed to involve binding of its reduction product, chromium(III), to DNA. Recently, this laboratory has shown that small oligonucleotide duplexes of DNA can be used to generate binary adducts of Cr(III). The structure of the Cr(III) binding site on the duplex DNA can be established using a combination of paramagnetic NMR, EPR, and FTIR spectroscopies. These studies have shown that aquated mononuclear Cr(III) or aquated hydroxo-bridged binuclear Cr(III) moieties bind to N-7 of guanine residues of the DNA depending on the DNA sequence. In the past determining which of these binary adducts formed required time-consuming variable temperature magnetic susceptibility and related experiments. Negative ion mass spectrometry (MS) can be utilized to efficiently identify whether mononuclear or binuclear binary Cr(III) adducts are formed.

Indexed as

ChromiumDNADNA AdductsMass SpectrometryChromiumDNADNA AdductsBinary adductsChromiumDNAElectrospray ionizationMass Spectrometry

Identifiers

PMID41137863
PMCPMC12728886

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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.