Evidence map›Paper›PMID 34445731›Full record

ReviewInternational journal of molecular sciences2021

Candidate Genes and Proteomic Biomarkers of Serum and Urine in Medication-Overuse Headache.

Natalia A Shnayder, Victoria B Sharavii, Marina M Petrova, Polina V Moskaleva, Elena A Pozhilenkova, Darya S Kaskaeva, Olga V Tutynina, Tatiana E Popova, Natalia P Garganeeva, Regina F Nasyrova

Open access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 51% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

10 authors at 5 institutions in 1 country.

Natalia A ShnayderThe Center of Personalized Psychiatry and Neurology, V. M. Bekhterev National Medical Research Center for Neurology and Psychiatry, 192019 Saint-Petersburg, Russia.ORCID 0000-0002-2840-837X
Victoria B SharaviiThe International School Medicine of the Future, I. M. Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia.ORCID 0000-0003-4411-3624
Marina M PetrovaThe Center of Collective Usage "Molecular and Cell Technologies", V. F. Voino-Yasenetsky Krasnoyarsk State Medical University, 660022 Krasnoyarsk, Russia.
Polina V MoskalevaThe Center of Collective Usage "Molecular and Cell Technologies", V. F. Voino-Yasenetsky Krasnoyarsk State Medical University, 660022 Krasnoyarsk, Russia.ORCID 0000-0002-8833-1052
Elena A PozhilenkovaThe Center of Collective Usage "Molecular and Cell Technologies", V. F. Voino-Yasenetsky Krasnoyarsk State Medical University, 660022 Krasnoyarsk, Russia.
Darya S KaskaevaThe Center of Collective Usage "Molecular and Cell Technologies", V. F. Voino-Yasenetsky Krasnoyarsk State Medical University, 660022 Krasnoyarsk, Russia.
Olga V TutyninaThe Center of Collective Usage "Molecular and Cell Technologies", V. F. Voino-Yasenetsky Krasnoyarsk State Medical University, 660022 Krasnoyarsk, Russia.
Tatiana E PopovaThe Yakutsk Scientific Center for Complex Medicine Problems, The Department of Epidemiology of Non-Infectious Diseases, 677018 Yakutsk, Russia.
Natalia P GarganeevaThe Department of General Medical Practice and Polyclinic Therapy, The Siberian State Medical University, 634050 Tomsk, Russia.
Regina F NasyrovaThe Center of Personalized Psychiatry and Neurology, V. M. Bekhterev National Medical Research Center for Neurology and Psychiatry, 192019 Saint-Petersburg, Russia.
Krasnoyarsk State Medical University · RUSt.Petersburg V.M.Bekhterev Psychoneurological Research Institute · RUIrkutsk Scientific Center of Surgery and Traumatology · RUSechenov University · RUSiberian State Medical University · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic headache is a topical problem of neurology, psychiatry and general practice. The medication-overuse headache (MOH) is one of the leading pathologies in the structure of chronic headache. However, early diagnosis of the MOH is challenging. We analyzed potential proteomic biomarkers of serum and urine in patients with MOH.

methodsWe searched PubMed, Springer, Scopus, Web of Science, ClinicalKey, and Google Scholar databases for English publications over the past 10 years using keywords and their combinations.

resultsWe found and analyzed seven studies that met the search criteria for the purpose of the review, including 24 serum proteomic biomarkers and 25 urine proteomic biomarkers of MOH. Moreover, the candidate genes and locus of the studied serum (vitamin D-binding protein, lipocalin-type prostaglandin D2 synthase, apolipoprotein E, etc.) and urine proteomic biomarkers (uromodulin, alpha-1-microglobulin, zinc-alpha-2-glycoprotein, etc.) of MOH are presented in this review.

conclusionsThe serum and urine proteomic biomarkers of MOH can potentially help with the identification of patients with MOH development. Due to the relevance of the problem, the authors believe that further investigation of the MOH proteomic biomarkers in different ethnic and racial groups of patients with primary headache is necessary. In addition, it is important to investigate whether medications of different drug classes influence the levels of serum and urine proteomic biomarkers.

Indexed as

ProteomeBiomarkersChronic PainHeadache Disorders, SecondaryHumansBiomarkersProteomechronic headacheheadacheproteogenomicsproteomicsserum biomarkerurine biomarker

Identifiers

PMID34445731
PMCPMC8396559
OpenAlexW3193961636

What OpenQuestion 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 OpenQuestion graph.