Evidence map›Paper›PMID 35327421›Full record

ReviewBiomedicines2022

Proteomic Studies of Psoriasis.

Vladimir V Sobolev, Anna G Soboleva, Elena V Denisova, Eva A Pechatnikova, Eugenia Dvoryankova, Irina M Korsunskaya, Alexandre Mezentsev

Open access · goldAbstract readReview
In one paragraph

Review in Biomedicines, 2022. 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 20% 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, 16 citations in OpenAlex.

  1. Observational
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
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  10. Review
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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

7 authors at 2 institutions in 1 country.

Vladimir V SobolevCentre of Theoretical Problems of Physico-Chemical Pharmacology, Russian Academy of Sciences, 119334 Moscow, Russia.ORCID 0000-0003-4779-156X
Anna G SobolevaCentre of Theoretical Problems of Physico-Chemical Pharmacology, Russian Academy of Sciences, 119334 Moscow, Russia.ORCID 0000-0002-9158-1933
Elena V DenisovaCentre of Theoretical Problems of Physico-Chemical Pharmacology, Russian Academy of Sciences, 119334 Moscow, Russia.
Eva A PechatnikovaDepartment of Dermatology and Cosmetology, Pirogov Russian National Research Medical University, 117997 Moscow, Russia.
Eugenia DvoryankovaCentre of Theoretical Problems of Physico-Chemical Pharmacology, Russian Academy of Sciences, 119334 Moscow, Russia.
Irina M KorsunskayaCentre of Theoretical Problems of Physico-Chemical Pharmacology, Russian Academy of Sciences, 119334 Moscow, Russia.
Alexandre MezentsevCentre of Theoretical Problems of Physico-Chemical Pharmacology, Russian Academy of Sciences, 119334 Moscow, Russia.
Center for Theoretical Problems of Physicochemical Pharmacology · RUPirogov Russian National Research Medical University · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this review paper, we discuss the contribution of proteomic studies to the discovery of disease-specific biomarkers to monitor the disease and evaluate available treatment options for psoriasis. Psoriasis is one of the most prevalent skin disorders driven by a Th17-specific immune response. Although potential patients have a genetic predisposition to psoriasis, the etiology of the disease remains unknown. During the last two decades, proteomics became deeply integrated with psoriatic research. The data obtained in proteomic studies facilitated the discovery of novel mechanisms and the verification of many experimental hypotheses of the disease pathogenesis. The detailed data analysis revealed multiple differentially expressed proteins and significant changes in proteome associated with the disease and drug efficacy. In this respect, there is a need for proteomic studies to characterize the role of the disease-specific biomarkers in the pathogenesis of psoriasis, develop clinical applications to choose the most efficient treatment options and monitor the therapeutic response.

Indexed as

biomarkerscomorbiditiesLC-MS/MSmass spectrometrypredispositionproximity extension assaypsoriasisrisk factorsSOMAscan™

Identifiers

PMID35327421
PMCPMC8945259
OpenAlexW4220931606

What Socratic 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 Socratic graph.