Evidence map›Paper›PMID 27827927›Full record

ReviewInternational journal of molecular sciences2016

Lipidomics-Reshaping the Analysis and Perception of Type 2 Diabetes.

Daniel F Markgraf, Hadi Al-Hasani, Stefan Lehr

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
–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

29 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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  14. Fatty acids and their role in type-2 diabetes (Review).Experimental and therapeutic medicine · 2021
    Review
  15. Article
  16. Review
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  18. Article
  19. Diabetes, metabolic syndrome and obesity : targets and therapy · 2020
    Article
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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

3 authors.

Daniel F MarkgrafInstitute for Clinical Diabetology, German Diabetes Center, c/o Auf'm Hennekamp 65, D-40225 Düsseldorf, Germany. daniel.markgraf@ddz.uni-duesseldorf.de.
Hadi Al-HasaniGerman Center for Diabetes Research (DZD e.V.), München, D-85764 Neuherberg, Germany. hadi.al-hasani@ddz.uni-duesseldorf.de.
Stefan LehrGerman Center for Diabetes Research (DZD e.V.), München, D-85764 Neuherberg, Germany. stefan.lehr@ddz.uni-duesseldorf.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As a consequence of a sedentary lifestyle as well as changed nutritional behavior, today's societies are challenged by the rapid propagation of metabolic disorders. A common feature of diseases, such as obesity and type 2 diabetes (T2D), is the dysregulation of lipid metabolism. Our understanding of the mechanisms underlying these diseases is hampered by the complexity of lipid metabolic pathways on a cellular level. Furthermore, overall lipid homeostasis in higher eukaryotic organisms needs to be maintained by a highly regulated interplay between tissues, such as adipose tissue, liver and muscle. Unraveling pathological mechanisms underlying metabolic disorders therefore requires a diversified approach, integrating basic cellular research with clinical research, ultimately relying on the analytical power of mass spectrometry-based techniques. Here, we discuss recent progress in the development of lipidomics approaches to resolve the pathological mechanisms of metabolic diseases and to identify suitable biomarkers for clinical application. Due to its growing impact worldwide, we focus on T2D to highlight the key role of lipidomics in our current understanding of this disease, discuss remaining questions and suggest future strategies to address them.

Indexed as

Lipid MetabolismAdipose TissueAnimalsBiomarkersCeramidesDiabetes Mellitus, Type 2DiglyceridesHomeostasisHumansInsulin ResistanceLiverMass SpectrometryMetabolomicsMuscle, SkeletalObesityBiomarkersCeramidesDiglyceridesceramide (CER)diabetesdiacylglycerol (DAG)lipid induced insulin resistancelipid metabolismlipidomicsmetabolic disordertype 2 diabetes

Identifiers

PMID27827927
PMCPMC5133841

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.