Evidence map›Paper›PMID 37551287›Full record

ReviewAsian biomedicine : research, reviews and news2022

Chirality of antidepressive drugs: an overview of stereoselectivity.

Vinod Kumar Vashistha, Sonika Sethi, Inderjeet Tyagi, Dipak Kumar Das

Abstract readReview
In one paragraph

Review in Asian biomedicine : research, reviews and news, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Stereoselective analysis of chiral pesticides: a review.Environmental monitoring and assessment · 2024
    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

4 authors.

Vinod Kumar VashisthaDepartment of Chemistry, GLA University, Mathura, Uttar Pradesh 281406, India.ORCID https://orcid.org/0000-0002-8987-5297
Sonika SethiDepartment of Chemistry, GD Goenka University, Gurgaon, Haryana 122103, India.ORCID https://orcid.org/0000-0002-9188-7465
Inderjeet TyagiCentre for DNA Taxonomy, Molecular Systematics Division, Zoological Survey of India, Ministry of Environment, Forest and Climate Change, Government of India, Kolkata 700053, India.ORCID https://orcid.org/0000-0002-2157-0075
Dipak Kumar DasDepartment of Chemistry, GLA University, Mathura, Uttar Pradesh 281406, India.ORCID https://orcid.org/0000-0002-1718-0218

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stereochemistry plays an important role in drug design because the enantiomers of a drug frequently vary in their biological action and pharmacokinetic profiles. Racemates of a drug with either an inactive or an unsafe enantiomer can lead to detrimental effects. The manufacturing industry may still produce racemates, but such decisions must pass through rigorous analyses of the pharmacological and pharmacokinetic characteristics of the particular enantiomer related to the racemates. The pharmacokinetics of antidepressants or antidepressive agents is stereoselective and predominantly favors one enantiomer. The use of pure enantiomers offers (i) better specificity than the racemates in terms of certain pharmacological actions, (ii) enhanced clinical indications, and (iii) optimized pharmacokinetics. Therefore, controlling the stereoselectivity in the pharmacokinetics of antidepressive drugs is of critical importance in dealing with depression and psychiatric conditions. The objective of this review is to highlight the importance of the stereochemistry of antidepressants in the context of the design and development of new chirally pure pharmaceuticals, the potential complications caused by using racemates, and the benefits of using pure enantiomers.

Indexed as

antidepressive agentschiraldepressionpharmacokineticsstereoselective

Identifiers

PMID37551287
PMCPMC10321182

What OpenQuestion holds

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Registered trials

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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.