Evidence map›Paper›PMID 25859394›Full record

ArticleAntibiotics (Basel, Switzerland)2014

Antimicrobial Activity of Chemokine CXCL10 for Dermal and Oral Microorganisms.

Grant O Holdren, David J Rosenthal, Jianyi Yang, Amber M Bates, Carol L Fischer, Yang Zhang, Nicole K Brogden, Kim A Brogden

Open access · goldAbstract read
In one paragraph

Article in Antibiotics (Basel, Switzerland), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Frontiers in microbiology · 2017
    Article
  7. 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

8 authors at 2 institutions in 1 country.

Grant O HoldrenDivision of Pharmaceutics and Translational Therapeutics, Department of Pharmaceutical Sciences and Experimental Therapeutics, College of Pharmacy, The University of Iowa, Iowa City, IA 52242, USA.
David J RosenthalDows Institute for Dental Research, College of Dentistry, The University of Iowa, Iowa City, IA 52242, USA.
Jianyi YangDepartment of Computational Medicine and Bioinformatics, The University of Michigan, 100 Washtenaw Avenue, Ann Arbor, MI 48109-2218, USA.
Amber M BatesDows Institute for Dental Research, College of Dentistry, The University of Iowa, Iowa City, IA 52242, USA.
Carol L FischerDows Institute for Dental Research, College of Dentistry, The University of Iowa, Iowa City, IA 52242, USA.
Yang ZhangDepartment of Computational Medicine and Bioinformatics, The University of Michigan, 100 Washtenaw Avenue, Ann Arbor, MI 48109-2218, USA.
Nicole K BrogdenDivision of Pharmaceutics and Translational Therapeutics, Department of Pharmaceutical Sciences and Experimental Therapeutics, College of Pharmacy, The University of Iowa, Iowa City, IA 52242, USA.
Kim A BrogdenDows Institute for Dental Research, College of Dentistry, The University of Iowa, Iowa City, IA 52242, USA ; Periodontics, College of Dentistry, The University of Iowa, Iowa City, IA 52242, USA.
University of Iowa · USUniversity of Michigan–Ann Arbor · US

Funding

University of Iowa Institutional Training Program in Oral Health ResearchT90DE023520 · NIDCR · UNIVERSITY OF IOWA · PI STEVEN M. LEVY · 2013 to 2026
$5.6M
I-TASSER based atomic-level protein structure predictionR01GM083107 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ZHANG, YANG · 2008 to 2019
$3.5M
Defensin-induced Adaptive Immunity to HagBR01DE014390 · NIDCR · UNIVERSITY OF IOWA · PI BROGDEN, KIM A · 2003 to 2014
$3.4M
University of Iowa Institutional Training Program in Oral Health ResearchR90DE024296 · NIDCR · UNIVERSITY OF IOWA · PI STEVEN M. LEVY · 2013 to 2026
$1.8M
Atomic-level, large-scale structure prediction of G protein-coupled receptorsR01GM084222 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ZHANG, YANG · 2009 to 2012
$1.3M
NIDCR NIH HHS R01 DE014390NIDCR NIH HHS R90 DE024296NIDCR NIH HHS T90 DE023520NIGMS NIH HHS R01 GM083107NIGMS NIH HHS R01 GM084222
6 · The paper itself

Abstract

CXCL10 (IP-10) is a small 10 kDa chemokine with antimicrobial activity. It is induced by IFN-γ, chemoattracts mononuclear cells, and promotes adhesion of T cells. Recently, we detected CXCL10 on the surface of the skin and in the oral cavity. In the current study, we used broth microdilution and radial diffusion assays to show that CXCL10 inhibits the growth of Escherichia coli, Staphylococcus aureus, Corynebacterium jeikeium, Corynebacterium striatum, and Candida albicans HMV4C, but not Corynebacterium bovis, Streptococcus mutans, Streptococcus mitis, Streptococcus sanguinis, Fusobacterium nucleatum, Aggregatibacter actinomycetemcomitans, Poryphromonas gingivalis, or C. albicans ATCC 64124. The reason for the selective antimicrobial activity is not yet known. However, antimicrobial activity of CXCL10 may be related to its composition and structure, as a cationic 98 amino acid residue molecule with 10 lysine residues, 7 arginine residues, a total net charge of +11, and a theoretical pI of 9.93. Modeling studies revealed that CXCL10 contains an α-helix at the N-terminal, three anti-parallel β-strands in the middle, and an α-helix at the C-terminal. Thus, CXCL10, when produced on the surface of the skin or in the oral cavity, likely has antimicrobial activity and may enhance innate antimicrobial and cellular responses to the presence of select commensal or opportunistic microorganisms.

Indexed as

antimicrobialCXCL10dermal microorganismsIP-10oral microorganismsSMAP28

Identifiers

PMID25859394
PMCPMC4387564
OpenAlexW2085460015

What OpenQuestion 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 OpenQuestion graph.