Evidence map›Paper›PMID 35813936›Full record

ReviewComplex psychiatry2021

Molecular Mechanisms Associated with Antidepressant Treatment on Major Depression.

Lívia Ramos-da-Silva, Pamela T Carlson, Licia C Silva-Costa, Daniel Martins-de-Souza, Valéria de Almeida

Abstract readReview
In one paragraph

Review in Complex psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

  1. Pooled it
  2. Pharmaceuticals (Basel, Switzerland) · 2026
    Review
  3. New Personalized Medicine Model for Medication Management.Journal of personalized medicine · 2026
    Review
  4. Article
  5. Advancing past ketamine: emerging glutamatergic compounds for the treatment of depression.European archives of psychiatry and clinical neuroscience · 2025
    Review
  6. Anhedonia: Current and future treatments.PCN reports : psychiatry and clinical neurosciences · 2025
    Review
  7. Pharmaco-Multiomics: A New Frontier in Precision Psychiatry.International journal of molecular sciences · 2025
    Review
  8. Article
  9. Review
  10. Article
  11. Review
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

5 authors.

Lívia Ramos-da-SilvaDepartment of Biochemistry and Tissue Biology, Laboratory of Neuroproteomics, Institute of Biology, University of Campinas (UNICAMP), Campinas, Brazil.
Pamela T CarlsonDepartment of Biochemistry and Tissue Biology, Laboratory of Neuroproteomics, Institute of Biology, University of Campinas (UNICAMP), Campinas, Brazil.
Licia C Silva-CostaDepartment of Biochemistry and Tissue Biology, Laboratory of Neuroproteomics, Institute of Biology, University of Campinas (UNICAMP), Campinas, Brazil.
Daniel Martins-de-SouzaDepartment of Biochemistry and Tissue Biology, Laboratory of Neuroproteomics, Institute of Biology, University of Campinas (UNICAMP), Campinas, Brazil.
Valéria de AlmeidaDepartment of Biochemistry and Tissue Biology, Laboratory of Neuroproteomics, Institute of Biology, University of Campinas (UNICAMP), Campinas, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Major depressive disorder (MDD) is a complex and multifactorial psychiatric disorder that causes serious health, social, and economic concerns worldwide. The main treatment of the symptoms is through antidepressant (AD) drugs. However, not all patients respond properly to these drugs. Omic sciences are widely used to analyze not only biomarkers for the AD response but also their molecular mechanism. In this review, we aimed to focus on omics data to better understand the molecular mechanisms involving AD effects on MDD. We consistently found, from preclinical to clinical data, that glutamatergic transmission, immune/inflammatory processes, energy metabolism, oxidative stress, and lipid metabolism were associated with traditional and potential new ADs. Despite efforts of studies investigating biomarkers of response to ADs, which could contribute to personalized treatment, there is no biomarker panel available for clinical application. From clinical genomic studies, we found that the main findings contribute to the development of pharmacogenomic tests for AD efficacy for each patient. Several studies pointed at

Indexed as

AntidepressantGenomicsMetabolomicsProteomicsTranscriptomics

Identifiers

PMID35813936
PMCPMC8739385

What Socratic holds

Textmetadata
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.