Evidence mapPaperPMID 39376479Full record

Review3 Biotech2024

Recent advances in the synthesis of antidepressant derivatives: pharmacologic insights for mood disorders.

Jeetendra Kumar Gupta, Kuldeep Singh, Alok Bhatt, Prateek Porwal, Rekha Rani, Anubhav Dubey, Divya Jain, Sachchida Nand Rai

Abstract readReview
In one paragraph

Review in 3 Biotech, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Jeetendra Kumar GuptaDepartment of Pharmacology, Institute of Pharmaceutical Research, GLA University, Mathura, Uttar Pradesh India.
Kuldeep SinghDepartment of Pharmacology, Institute of Pharmaceutical Research, GLA University, Mathura, Uttar Pradesh India.
Alok BhattSchool of Pharmacy, Graphic Era Hill University, Bell Road, Clement Town, Dehradun, Uttarakhand India.
Prateek PorwalFS College of Pharmacy and Research Centre, FS University, Near Balaji Mandir, ShikohabadFirozabad, Uttar Pradesh India.
Rekha RaniDepartment of Chemistry, School of Pharmacy, ITM University, Gwalior, Madhya Pradesh India.
Anubhav DubeyDepartment of Pharmacology, Maharana Pratap College of Pharmacy, Kanpur, Uttar Pradesh India.
Divya JainDepartment of Microbiology, School of Applied & Life Sciences, Uttaranchal University, Dehradun, Uttarakhand 248007 India.ORCID 0000-0001-7220-5687
Sachchida Nand RaiCentre of Experimental Medicine and Surgery, Banaras Hindu University, Varanasi, Uttar Pradesh 221005 India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mood disorders, including depression, remain a significant global health concern, necessitating continuous efforts to develop novel and more effective antidepressant therapies. Although there have been significant advancements in comprehending the biology of Major Depressive Disorder (MDD), a considerable number of people suffering from depression do not exhibit positive responses to the pharmacologic treatments now available. This study specifically examines emerging targets and potential future approaches for pharmaceutical interventions in the treatment of MDD. The discussion revolves around novel therapeutic agents and their effectiveness in treating depression. The focus is on the specific pathophysiological pathways targeted by these agents and the amount of evidence supporting their use. While conventional antidepressants are anticipated to continue being the primary treatment for MDD in the foreseeable future, there is currently extensive research being conducted on numerous new compounds to determine their effectiveness in treating MDD. Many of these compounds have shown encouraging results. This review highlighted the recent advances in the synthesis of antidepressant derivatives and explores their pharmacologic insights for the treatment of mood disorders.

Indexed as

Antidepressant derivativesDepressionDopamineMood disordersPharmacological insightsSerotonin

Identifiers

PMID39376479
PMCPMC11456089

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.