Evidence map›Paper›PMID 24749057›Full record

ReviewMolecular metabolism2014

Metabolic syndrome - Removing roadblocks to therapy: Antigenic immunotherapies.

Ken T Coppieters, Matthias G von Herrath

Abstract readReview
In one paragraph

Review in Molecular metabolism, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. 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

2 authors.

Ken T CoppietersType 1 Diabetes R&D Center, Novo Nordisk Inc., Seattle, WA, USA.
Matthias G von HerrathType 1 Diabetes R&D Center, Novo Nordisk Inc., Seattle, WA, USA ; Type 1 Diabetes Center, The La Jolla Institute for Allergy and Immunology, 9420 Athena Circle, La Jolla, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Up to 25 per cent of the world׳s adult population may have the metabolic syndrome, a condition closely associated with central obesity. The metabolic syndrome is a major risk factor for cardiovascular disease and type 2 diabetes and therefore represents an important worldwide health problem. In addition to metabolic abnormalities such as raised fasting plasma glucose, high cholesterol and high blood pressure, there is consensus that obese subjects develop a state of low-grade chronic immune activation. This sustained pro-inflammatory response in fat tissue is thought to worsen insulin resistance and dyslipidemia. Likewise, the immune system contributes to the detrimental cascade of events leading to plaque formation in atherosclerosis. It has long been assumed that the innate arm of the immune system was the only key player, but emerging evidence suggests that there is in fact a sizeable adaptive immune component to obesity and cardiovascular disease. From a therapeutic perspective, it could be envisioned that immune modulation drugs such as cytokine inhibitors, co-stimulation blockers or anti-T cell agents could offer benefit. It is questionable, however, whether chronic treatment with for instance biologicals will have a favorable risk/benefit profile in a silent condition such as the metabolic syndrome. An attractive alternative could be the development of antigen-specific T cell therapies, not unlike those currently in various phases of development for type 1 diabetes. In this article, we will give an overview of antigen-specific treatment modalities in type 1 diabetes, followed by a review of the evidence for T cell involvement in obesity and atherosclerosis.

Indexed as

Antigenic immunotherapiesAtherosclerosisMacrophagesMetabolic syndromeObesityT cellsType 1 diabetesType 2 diabetes

Identifiers

PMID24749057
PMCPMC3986497

What OpenQuestion holds

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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.