Evidence map›Paper›PMID 34587177›Full record

ArticlePloS one2021

Potential biomarkers of major depression diagnosis and chronicity.

Ana Cecília de Menezes Galvão, Raíssa Nobrega Almeida, Geovan Menezes de Sousa Júnior, Mário André Leocadio-Miguel, Fernanda Palhano-Fontes, Dráulio Barros de Araujo, Bruno Lobão-Soares, João Paulo Maia-de-Oliveira, Emerson Arcoverde Nunes, Jaime Eduardo Cecilio Hallak and 2 more

Abstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. 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

12 authors.

Ana Cecília de Menezes GalvãoLaboratory of Hormone Measurement, Postgraduate Program in Psychobiology and Department of Physiology and Behavior, Federal University of Rio Grande do Norte, Natal, RN, Brazil.ORCID 0000-0003-0073-877X
Raíssa Nobrega AlmeidaLaboratory of Hormone Measurement, Postgraduate Program in Psychobiology and Department of Physiology and Behavior, Federal University of Rio Grande do Norte, Natal, RN, Brazil.
Geovan Menezes de Sousa JúniorLaboratory of Hormone Measurement, Postgraduate Program in Psychobiology and Department of Physiology and Behavior, Federal University of Rio Grande do Norte, Natal, RN, Brazil.ORCID 0000-0002-8674-5067
Mário André Leocadio-MiguelLaboratory of Hormone Measurement, Postgraduate Program in Psychobiology and Department of Physiology and Behavior, Federal University of Rio Grande do Norte, Natal, RN, Brazil.ORCID 0000-0002-7248-3529
Fernanda Palhano-FontesBrain Institute, Federal University of Rio Grande do Norte, Natal, RN, Brazil.
Dráulio Barros de AraujoBrain Institute, Federal University of Rio Grande do Norte, Natal, RN, Brazil.
Bruno Lobão-SoaresNational Institute of Science and Technology in Translational Medicine, Ribeirao Preto, Brazil.
João Paulo Maia-de-OliveiraNational Institute of Science and Technology in Translational Medicine, Ribeirao Preto, Brazil.
Emerson Arcoverde NunesNational Institute of Science and Technology in Translational Medicine, Ribeirao Preto, Brazil.
Jaime Eduardo Cecilio HallakNational Institute of Science and Technology in Translational Medicine, Ribeirao Preto, Brazil.
Jerome SarrisNICM Health Research Institute, Western Sydney University, Westmead, Australia.ORCID 0000-0001-9287-8854
Nicole Leite Galvão-CoelhoLaboratory of Hormone Measurement, Postgraduate Program in Psychobiology and Department of Physiology and Behavior, Federal University of Rio Grande do Norte, Natal, RN, Brazil.ORCID 0000-0002-4887-8635

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMolecular biomarkers are promising tools to be routinely used in clinical psychiatry. Among psychiatric diseases, major depression disorder (MDD) has gotten attention due to its growing prevalence and morbidity.

methodsWe tested some peripheral molecular parameters such as serum mature Brain-Derived Neurotrophic Factor (mBDNF), plasma C-Reactive Protein (CRP), serum cortisol (SC), and the salivary Cortisol Awakening Response (CAR), as well as the Pittsburgh sleep quality inventory (PSQI), as part of a multibiomarker panel for potential use in MDD diagnosis and evaluation of disease's chronicity using regression models, and ROC curve.

resultsFor diagnosis model, two groups were analyzed: patients in the first episode of major depression (MD: n = 30) and a healthy control (CG: n = 32). None of those diagnosis models tested had greater power than Hamilton Depression Rating Scale-6. For MDD chronicity, a group of patients with treatment-resistant major depression (TRD: n = 28) was tested across the MD group. The best chronicity model (p < 0.05) that discriminated between MD and TRD included four parameters, namely PSQI, CAR, SC, and mBDNF (AUC ROC = 0.99), with 96% of sensitivity and 93% of specificity.

conclusionThese results indicate that changes in specific biomarkers (CAR, SC, mBDNF and PSQI) have potential on the evaluation of MDD chronicity, but not for its diagnosis. Therefore, these findings can contribute for further studies aiming the development of a stronger model to be commercially available and used in psychiatry clinical practice.

Indexed as

AdultAlgorithmsArea Under CurveBiomarkersBrain-Derived Neurotrophic FactorCase-Control StudiesC-Reactive ProteinFemaleHumansHydrocortisoneMajor Depressive DisorderMaleMiddle AgedModels, TheoreticalPrevalencePsychiatric Status Rating ScalesBDNF protein, humanBiomarkersBrain-Derived Neurotrophic FactorC-Reactive ProteinHydrocortisone

Identifiers

PMID34587177
PMCPMC8480905

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.