Evidence map›Paper›PMID 24008816›Full record

ArticleInflammation research : official journal of the European Histamine Research Society ... [et al.]2013

Docosahexaenoic acid reduces inflammation and joint destruction in mice with collagen-induced arthritis.

Melissa V Olson, Ying-Chun Liu, Bindi Dangi, J Paul Zimmer, Norman Salem, Julie M Nauroth

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Article in Inflammation research : official journal of the European Histamine Research Society ... [et al.], 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.5field-weighted citation impact, top 12% 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

21 citing papers in PubMed, 44 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

6 authors at 1 institution in 1 country.

Melissa V OlsonDSM Nutritional Products, 6480 Dobbin Road, Columbia, MD, 21045, USA.
Ying-Chun Liu
Bindi Dangi
J Paul Zimmer
Norman Salem
Julie M Nauroth
Nutrition 21 (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study was designed to determine the anti-inflammatory activity of docosahexaenoic acid (DHA), alone and in combination with eicosapentaenoic acid (EPA), in a murine model of rheumatoid arthritis, collagen induced arthritis (CIA).

methodsThe CIA was induced in DBA/1OlaHsd mice by the injection of bovine type II collagen in Freunds's complete adjuvant on days 0 and 21. Mice were fed modified diets containing DHA and/or EPA for 4 weeks prior to the initial collagen injection until study termination at day 45. The severity of CIA was assessed by measuring erythema, edema and mobility of the digits on the fore and hind paws, as well as histology. The level of serum anti-collagen antibodies was determined by ELISA. The ex vivo effects of DHA and/or EPA on splenocyte proliferation and cytokine production were evaluated by BrdU method and ELISA.

resultsProphylactic treatment with DHA, and not DHA/EPA, significantly reduced arthritis severity and joint damage. Treatment with DHA also decreased anti-collagen (CII) antibodies in vivo, downregulated interleukin-1β, interferonγ and upregulated protective interleukin-10 ex vivo.

conclusionProphylactic treatment with DHA was efficacious in a mouse model of rheumatoid arthritis and may be a useful intervention strategy against inflammatory arthritis.

Indexed as

AnimalsAnti-Inflammatory AgentsArthritis, ExperimentalArthritis, RheumatoidCollagen Type IICytokinesDocosahexaenoic AcidsFoot JointsImmunoglobulin GMaleMiceAnti-Inflammatory AgentsCollagen Type IICytokinesDocosahexaenoic AcidsImmunoglobulin G

Identifiers

PMID24008816
OpenAlexW2033314898

What OpenQuestion holds

Textmetadata
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.