Evidence map›Paper›PMID 39385300›Full record

ReviewHuman genomics2024

Implementing differentially pigmented skin models for predicting drug response variability across human ancestries.

Sophie Zaaijer, Simon C Groen

Abstract readReview
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Trial
  2. Review
  3. 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

2 authors.

Sophie ZaaijerCornell Tech, New York, NY, USA. sophie@zaaijer.org.
Simon C GroenUniversity of California Riverside, Riverside, CA, USA. simon.groen@ucr.edu.

Funding

Evolutionary Systems Biology of Host-Parasite InteractionsR35GM151194 · NIGMS · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI Simon Cornelis Groen · 2023 to 2026
$1.5M
NIGMS NIH HHS R35 GM151194NIH HHS R35GM151194
6 · The paper itself

Abstract

Persistent racial disparities in health outcomes have catalyzed legislative reforms and heightened scientific focus recently. However, despite the well-documented properties of skin pigments in binding drug compounds, their impact on therapeutic efficacy and adverse drug responses remains insufficiently explored. This perspective examines the intricate relationships between variation in melanin-based skin pigmentation and pharmacokinetics and -dynamics, highlighting the need for considering diversity in skin pigmentation as a variable to advance the equitability of pharmacological interventions. The article provides guidelines on the selection of New Approach Methods (NAMs) to foster inclusive study designs in preclinical drug development pipelines, leading to an improved level of translatability to the clinic.

Indexed as

Skin PigmentationDrug DevelopmentHumansMelaninsSkinMelaninsAICell modelDiversityDrug BioavailabilityEquityInclusivityIVIVEMelaninNAMPharmacodynamicsPharmacokineticsPhototoxicity

Identifiers

PMID39385300
PMCPMC11465898

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.