Evidence map›Paper›PMID 35072665›Full record

ReviewInternational journal of occupational medicine and environmental health2022

Lipidomic profiles as a tool to search for new biomarkers.

Anna Pisarska, Wojciech Wąsowicz, Jolanta Gromadzińska

Abstract readReview
In one paragraph

Review in International journal of occupational medicine and environmental health, 2022. 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
–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

7 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Review
  6. 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

3 authors.

Anna PisarskaNofer Institute of Occupational Medicine, Łódź, Poland (Department of Biological and Environmental Monitoring).
Wojciech WąsowiczNofer Institute of Occupational Medicine, Łódź, Poland (Department of Biological and Environmental Monitoring).
Jolanta GromadzińskaNofer Institute of Occupational Medicine, Łódź, Poland (Department of Biological and Environmental Monitoring).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lipidomics belongs to the family of the so-called omics domains, which, based on modern chemical technologies, strive to explain the biological principles of the organism's functioning. Main biological functions of lipids include energy storage, the formation of cell membranes, and participation in the transmission of biological signals, and their dysregulation is responsible for the development of pathological states. Thanks to lipid profiling, potential biomarkers for disease diagnosis and prognosis can be identified. This paper discusses selected examples of the use of lipidomic tests in the diagnosis of the kidney, metabolic and neoplastic diseases based on research papers published over the last few years (since 2016). Only works based on the study of human biological material by mass spectrometry methods were taken into account. The examples of lipidomics application presented in this publication are only a few of the possibilities of this technique. As potential possibilities have already been discovered, the next step for the research community is to work on standardization of the approach to lipidomic research and to develop bioinformatics methods that allow efficient processing and analysis of large amounts of data generated in this technique. Int J Occup Med Environ Health. 2022;35(2):111-26.

Indexed as

LipidomicsNeoplasmsBiomarkersHumansLipid MetabolismLipidsBiomarkersLipidsbiomarkerscancerkidney diseaselipidomicslipidsmetabolomic disease

Identifiers

PMID35072665
PMCPMC10464741

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.