Evidence map›Paper›PMID 33508785›Full record

ReviewClinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology2021

Biomarkers of Major Depressive Disorder: Knowing is Half the Battle.

Sahil Malik, Ravinder Singh, Govind Arora, Akriti Dangol, Sanjay Goyal

Open access · diamondAbstract readReview
In one paragraph

Review in Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.0field-weighted citation impact, top 15% 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

25 citing papers in PubMed, 42 citations in OpenAlex.

  1. Trial
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Gut microbiota, nutrients, and depression.Frontiers in nutrition · 2025
    Review
  11. Article
  12. Feasibility of Using Serum, Plasma, and Platelet 5-hydroxytryptamine as Peripheral Biomarker for the Depression Diagnosis and Response Evaluation to Antidepressants: Animal Experimental Study.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2024
    Article
  13. Review
  14. Deconstructing depression by machine learning: the POKAL-PSY study.European archives of psychiatry and clinical neuroscience · 2024
    Article
  15. Review
  16. Exploring Clinical Subgroups of Participants with Major Depressive Disorder that may Benefit from Adjunctive Minocycline Treatment.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2024
    Article
  17. Article
  18. Article
  19. Article
  20. 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

5 authors at 2 institutions in 1 country.

Sahil MalikChitkara College of Pharmacy, Chitkara University, Rajpura, Punjab, India.ORCID https://orcid.org/0000-0002-8156-7601
Ravinder SinghChitkara College of Pharmacy, Chitkara University, Rajpura, Punjab, India.ORCID https://orcid.org/0000-0003-1565-9740
Govind AroraChitkara College of Pharmacy, Chitkara University, Rajpura, Punjab, India.ORCID https://orcid.org/0000-0001-9481-6868
Akriti DangolChitkara College of Pharmacy, Chitkara University, Rajpura, Punjab, India.ORCID https://orcid.org/0000-0002-5495-1034
Sanjay GoyalDepartment of Internal Medicine, Government Medical College, Patiala, India.ORCID https://orcid.org/0000-0002-7867-1280
Chitkara University · INGovernment Medical College · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Major depressive disorder (MDD) is a heterogeneous disease which is why there are currently no specific methods to accurately test the severity, endophenotype or therapy response. This lack of progress is partly attributed to the com-plexity and variability of depression, in association with analytical variability of clinical literature and the wide number of theoretically complex biomarkers. The literature accessible, indicates that markers involved in inflammatory, neuro-trophic and metabolic processes and components of neurotransmitters and neuroendocrine systems are rather strong indicators to be considered clinically and can be measured through genetic and epigenetic, transcriptomic and proteomic, metabolomics and neuroimaging assessments. Promising biologic systems/markers found were i.e., growth biomarkers, endocrine markers, oxidant stress markers, proteomic and chronic inflammatory markers, are discussed in this review. Several lines of evidence suggest that a portion of MDD is a dopamine agonist-responsive subtype. This review analyzes concise reports on the pathophysiological biomarkers of MDD and therapeutic reactions via peripheral developmental factors, inflammative cytokines, endocrine factors and metabolic markers. Various literatures also support that endocrine and metabolism changes are associated with MDD. Accumulating evidence suggests that at least a portion of MDD patients show characteristics pathological changes regarding different clinical pathological biomarkers. By this review we sum up all the different biomarkers playing an important role in the detection or treatment of the different patients suffering from MDD. The review also gives an overview of different biomarker's playing a potential role in modulating effect of MDD.

Indexed as

BDNFIGF-1IL-1bMajor depressive disordermood disorders

Identifiers

PMID33508785
PMCPMC7851463
OpenAlexW3121510462

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.