Evidence map›Paper›PMID 42012944›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2026

Targeting the polyene chain represents an adjuvant strategy for optimizing polyene antifungals.

Yishan Zhang, Xiaocong Liu, Luobei Weng, Shuixiu Li, Peiran Chen, Gehua Zhang, Jianqi Wang, Dongmei Zhang, Chuanyan Tang, Yunfeng Hu and 2 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 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

12 authors.

Yishan Zhang *State Key Laboratory of Bioactive Molecules and Druggability Assessment, The First Affiliated Hospital of Jinan University Guangzhou Guangdong 510630, China.
Xiaocong Liu *State Key Laboratory of Bioactive Molecules and Druggability Assessment, The First Affiliated Hospital of Jinan University Guangzhou Guangdong 510630, China.
Luobei Weng *State Key Laboratory of Bioactive Molecules and Druggability Assessment, The First Affiliated Hospital of Jinan University Guangzhou Guangdong 510630, China.
Shuixiu LiState Key Laboratory of Bioactive Molecules and Druggability Assessment, The First Affiliated Hospital of Jinan University Guangzhou Guangdong 510630, China.
Peiran ChenState Key Laboratory of Bioactive Molecules and Druggability Assessment, The First Affiliated Hospital of Jinan University Guangzhou Guangdong 510630, China.
Gehua ZhangDepartment of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University Guangzhou, Guangdong 510630, China.
Jianqi WangDepartment of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University Guangzhou, Guangdong 510630, China.
Dongmei ZhangState Key Laboratory of Bioactive Molecules and Druggability Assessment, The First Affiliated Hospital of Jinan University Guangzhou Guangdong 510630, China.
Chuanyan TangState Key Laboratory of Bioactive Molecules and Druggability Assessment, The First Affiliated Hospital of Jinan University Guangzhou Guangdong 510630, China.
Yunfeng HuState Key Laboratory of Bioactive Molecules and Druggability Assessment, The First Affiliated Hospital of Jinan University Guangzhou Guangdong 510630, China.
Wencai YeState Key Laboratory of Bioactive Molecules and Druggability Assessment, The First Affiliated Hospital of Jinan University Guangzhou Guangdong 510630, China.ORCID 0000-0002-2810-1001
Hong ZhangState Key Laboratory of Bioactive Molecules and Druggability Assessment, The First Affiliated Hospital of Jinan University Guangzhou Guangdong 510630, China.ORCID 0000-0002-5063-4082

Funding

Guangdong Engineering Technology Research Center of Skin Health and Disease 2023A171Innovation Team Project of Universities in Guangdong Province 2022KCXTD002MOE | Fundamental Research Funds for the Central Universities (Fundamental Research Fund for the Central Universities) 21623117MOST | National Key Research and Development Program of China (NKPs) 2021YFC2300400MOST | National Natural Science Foundation of China (NSFC) 82202545MOST | National Natural Science Foundation of China (NSFC) 82272357/82472306Science and Techonology Projects in Guangzhou 2025A03J3629/2025A04J3718
6 · The paper itself

Abstract

Polyene antifungals (PAs) have long constituted an irreplaceable lifesaving treatment for lethal fungal infections. However, PAs induce significant dose-dependent nephrotoxicity, primarily because of their binding to cholesterol in the renal cell membrane, which is structurally similar to their fungicidal target ergosterol in the fungal membrane. Efforts to optimize PAs have focused mainly on their mycosamine group and polyol chain, while the potential of the polyene chain remains underexplored. Here, we report that the polyene chain can function as a molecular switch, enabling hydrophobic coupling with structurally compatible adjuvants repurposed from clinically approved drugs. This hydrophobic coupling triggers conformational rearrangements of PAs, which are characterized by a reorientation of the mycosamine group, and increases the rigidity and length of the polyene chain, which can asymmetrically modulate the binding of PAs to membrane cholesterol and ergosterol, thereby attenuating nephrotoxicity and increasing effectiveness. Among them, vitamin D

Indexed as

Antifungal AgentsPolyenesAnimalsCholesterolErgosterolHumansHydrophobic and Hydrophilic InteractionsAntifungal AgentsCholesterolErgosterolPolyenesamphotericin Bdrug optimizationinvasive fungal infectionpolyene antifungalsvitamin D

Identifiers

PMID42012944
PMCPMC13123897

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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.