Evidence map›Paper›PMID 36639423›Full record

ArticleCommunications biology2023

Multivariate chemogenomic screening prioritizes new macrofilaricidal leads.

Nicolas J Wheeler, Kaetlyn T Ryan, Kendra J Gallo, Clair R Henthorn, Spencer S Ericksen, John D Chan, Mostafa Zamanian

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.3field-weighted citation impact, top 13% 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

10 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Deep phenotypic profiling uncovers cryptic effects of antifilarial drugs.bioRxiv : the preprint server for biology · 2026
    Article
  4. Nematicidal indole oxazoles and chemoattractants from soil bacteria.bioRxiv : the preprint server for biology · 2026
    Article
  5. Review
  6. Article
  7. Article
  8. Phenotypic Profiling of Macrocyclic Lactones on ParasiticAntimicrobial agents and chemotherapy · 2023
    Article
  9. Article
  10. 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

7 authors at 2 institutions in 1 country.

Nicolas J WheelerDepartment of Pathobiological Sciences, University of Wisconsin-Madison, Madison, WI, USA.ORCID 0000-0002-5909-4190
Kaetlyn T RyanDepartment of Pathobiological Sciences, University of Wisconsin-Madison, Madison, WI, USA.ORCID 0000-0002-2051-7969
Kendra J GalloDepartment of Pathobiological Sciences, University of Wisconsin-Madison, Madison, WI, USA.ORCID 0000-0002-3212-9226
Clair R HenthornDepartment of Pathobiological Sciences, University of Wisconsin-Madison, Madison, WI, USA.ORCID 0000-0002-0224-7336
Spencer S EricksenSmall Molecule Screening Facility, Drug Development Core, UW-Carbone Cancer Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA.ORCID 0000-0003-4907-1160
John D ChanDepartment of Pathobiological Sciences, University of Wisconsin-Madison, Madison, WI, USA.
Mostafa ZamanianDepartment of Pathobiological Sciences, University of Wisconsin-Madison, Madison, WI, USA. mzamanian@wisc.edu.ORCID 0000-0001-9233-1760
University of Wisconsin–Madison · USUniversity of Wisconsin–Eau Claire · US

Funding

UW COMPREHENSIVE CANCER CENTER SUPPORTP30CA014520 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI Justine Yang Bruce · 1985 to 2026
$142.6M
Parasitology and Vector Biology Training ProgramT32AI007414 · NIAID · UNIVERSITY OF WISCONSIN-MADISON · PI Lyric Colleen Bartholomay · 1992 to 2026
$4.5M
Molecular mechanisms controlling secretion in filarial nematode parasitesR01AI151171 · NIAID · UNIVERSITY OF WISCONSIN-MADISON · PI Mostafa Zamanian · 2020 to 2026
$2.4M
A Machine Learning Platform for Adaptive Chemical ScreeningR01GM135631 · NIGMS · MORGRIDGE INSTITUTE FOR RESEARCH, INC. · PI GITTER, ANTHONY JAMES · 2020 to 2024
$2.1M
Determining the molecular basis of chemosensory behaviors in mosquito-borne filarial nematode parasitesF32AI152347 · NIAID · UNIVERSITY OF WISCONSIN-MADISON · PI WHEELER, NICOLAS J · 2021 to 2022
$121k
NCI NIH HHS P30 CA014520NIAID NIH HHS F32 AI152347NIAID NIH HHS R01 AI151171NIAID NIH HHS T32 AI007414NIGMS NIH HHS R01 GM135631
6 · The paper itself

Abstract

Development of direct acting macrofilaricides for the treatment of human filariases is hampered by limitations in screening throughput imposed by the parasite life cycle. In vitro adult screens typically assess single phenotypes without prior enrichment for chemicals with antifilarial potential. We developed a multivariate screen that identified dozens of compounds with submicromolar macrofilaricidal activity, achieving a hit rate of >50% by leveraging abundantly accessible microfilariae. Adult assays were multiplexed to thoroughly characterize compound activity across relevant parasite fitness traits, including neuromuscular control, fecundity, metabolism, and viability. Seventeen compounds from a diverse chemogenomic library elicited strong effects on at least one adult trait, with differential potency against microfilariae and adults. Our screen identified five compounds with high potency against adults but low potency or slow-acting microfilaricidal effects, at least one of which acts through a novel mechanism. We show that the use of microfilariae in a primary screen outperforms model nematode developmental assays and virtual screening of protein structures inferred with deep learning. These data provide new leads for drug development, and the high-content and multiplex assays set a new foundation for antifilarial discovery.

Indexed as

FilariasisAnimalsHumansMicrofilariae

Identifiers

PMID36639423
PMCPMC9839782
OpenAlexW4316036677

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.