Evidence map›Paper›PMID 41910313›Full record

ArticleAntimicrobial agents and chemotherapy2026

Human Dectin-1- and Dectin-2-targeted DectiSomes are effective against diverse pathogenic fungi.

Suresh Ambati, Xiaorong Lin, Zachary A Lewis, Jesse A Peter, Richard B Meagher

Abstract read
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Suresh AmbatiDepartment of Genetics, University of Georgia, Athens, Georgia, USA.ORCID 0000-0002-4658-0245
Xiaorong LinDepartment of Microbiology, University of Georgia, Athens, Georgia, USA.ORCID 0000-0002-3390-8387
Zachary A LewisDepartment of Microbiology, University of Georgia, Athens, Georgia, USA.ORCID 0000-0002-1735-8266
Jesse A PeterDepartment of Genetics, University of Georgia, Athens, Georgia, USA.ORCID 0009-0009-7589-3265
Richard B MeagherDepartment of Genetics, University of Georgia, Athens, Georgia, USA.ORCID 0000-0003-3928-8403

Funding

Targeted Pan-Antifungal LiposomesR01AI162989 · NIAID · UNIVERSITY OF GEORGIA · PI Zachary Lewis, Richard Brian Meagher · 2022 to 2026
$2.6M
Antifungal Liposomes Targeted to Cell Wall MannansR21AI148890 · NIAID · UNIVERSITY OF GEORGIA · PI MEAGHER, RICHARD BRIAN · 2020 to 2021
$415k
Targeted delivery of antifungal drug loaded liposomes to control mucormycosisR21AI171787 · NIAID · UNIVERSITY OF GEORGIA · PI MEAGHER, RICHARD BRIAN · 2022 to 2023
$415k
Antifungal ImunoliposomesR21AI144498 · NIAID · UNIVERSITY OF GEORGIA · PI MEAGHER, RICHARD BRIAN · 2019 to 2020
$415k
NIAID NIH HHS R01 AI162989NIAID NIH HHS R21 AI144498NIAID NIH HHS R21 AI148890NIH HHS R21AI171787NIH HHS RO1AI162989
6 · The paper itself

Abstract

Annually, aspergillosis, candidiasis, cryptococcosis, and mucormycosis result in approximately 1,500,000, 650,000, 120,000, and 59,000 deaths, respectively. Mortality rates among patients receiving antifungal drug treatment range from 30% to 90%. Therefore, there is an urgent need to improve the efficacy of antifungal drug therapies against infections by these high-priority fungal diseases.

Indexed as

Antifungal AgentsLectins, C-TypeLiposomesAnimalsAspergillus fumigatusCandida albicansCryptococcus neoformansDectin-1HumansMiceMicrobial Sensitivity TestsMucormycosisRhizopusAntifungal AgentsDectin-1dectin-2, mouseLectins, C-TypeLiposomesantifungal therapyaspergillosiscandidiasiscryptococcosisDectiSomeshuman dectinsliposomesmucormycosis

Identifiers

PMID41910313
PMCPMC13148054

What OpenQuestion holds

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LicenceCC BY
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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.