Evidence map›Paper›PMID 34677385›Full record

ArticleMetabolites2021

Local and Systemic Changes in Lipid Profile as Potential Biomarkers for Canine Atopic Dermatitis.

Jackeline Franco, Bartek Rajwa, Paulo Gomes, Harm HogenEsch

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

12 citing papers in PubMed, 12 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

4 authors at 1 institution in 1 country.

Jackeline FrancoDepartment of Comparative Pathobiology, Purdue University, West Lafayette, IN 47907, USA.ORCID 0000-0002-0737-4764
Bartek RajwaBindley Bioscience Center, Purdue University, West Lafayette, IN 47907, USA.ORCID 0000-0001-7540-8236
Paulo GomesDepartment of Veterinary Clinical Sciences, Purdue University, West Lafayette, IN 47907, USA.
Harm HogenEschDepartment of Comparative Pathobiology, Purdue University, West Lafayette, IN 47907, USA.ORCID 0000-0002-2738-9189
Purdue University West Lafayette · US

Funding

American Kennel Club Canine Health Foundation 02651
6 · The paper itself

Abstract

Lipids play a critical role in the skin as components of the epidermal barrier and as signaling and antimicrobial molecules. Atopic dermatitis in dogs is associated with changes in the lipid composition of the skin, but whether these precede or follow the onset of dermatitis is unclear. We applied rapid lipid-profiling mass spectrometry to skin and blood of 30 control and 30 atopic dogs. Marked differences in lipid profiles were observed between control, nonlesional, and lesional skin. The lipid composition of blood from control and atopic dogs was different, indicating systemic changes in lipid metabolism. Female and male dogs differed in the degree of changes in the skin and blood lipid profiles. Treatment with oclacitinib or lokivetmab ameliorated the skin condition and caused changes in skin and blood lipids. A set of lipid features of the skin was selected as a biomarker that classified samples as control or atopic dermatitis with 95% accuracy, whereas blood lipids discriminated between control and atopic dogs with 90% accuracy. These data suggest that canine atopic dermatitis is a systemic disease and support the use of rapid lipid profiling to identify novel biomarkers.

Indexed as

biomarkerscanine atopic dermatitisdiagnosticdisease progressionflow-injection mass-spectrometrylipidomicspredictive elastic net regression

Identifiers

PMID34677385
PMCPMC8541266
OpenAlexW3205408113

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.