Evidence map›Paper›PMID 37193694›Full record

ArticleNature communications2023

Identification of indocyanine green as a STT3B inhibitor against mushroom α-amanitin cytotoxicity.

Bei Wang, Arabella H Wan, Yu Xu, Ruo-Xin Zhang, Ben-Chi Zhao, Xin-Yuan Zhao, Yan-Chuan Shi, Xiaolei Zhang, Yongbo Xue, Yong Luo and 4 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
7.5field-weighted citation impact, top 2% 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

17 citing papers in PubMed, 29 citations in OpenAlex.

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  15. Myocardial injury caused byWorld journal of emergency medicine · 2024
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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

14 authors at 3 institutions in 2 countries.

Bei Wang *Laboratory of Metabolism and Aging, School of Pharmaceutical Sciences (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, PR China.ORCID http://orcid.org/0009-0002-7992-6414
Arabella H Wan *Department of Pathology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, PR China.
Yu Xu *Laboratory of Metabolism and Aging, School of Pharmaceutical Sciences (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, PR China.
Ruo-Xin ZhangLaboratory of Metabolism and Aging, School of Pharmaceutical Sciences (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, PR China.ORCID http://orcid.org/0000-0002-8252-3141
Ben-Chi ZhaoLaboratory of Metabolism and Aging, School of Pharmaceutical Sciences (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, PR China.
Xin-Yuan ZhaoLaboratory of Metabolism and Aging, School of Pharmaceutical Sciences (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, PR China.ORCID http://orcid.org/0000-0003-2388-5967
Yan-Chuan ShiObesity and Metabolic Disease Research Group, Diabetes and Metabolism Division, Garvan Institute of Medical Research, Darlinghurst, Sydney, Australia.ORCID http://orcid.org/0000-0002-8368-6735
Xiaolei ZhangSchool of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, PR China.ORCID http://orcid.org/0000-0003-2395-2453
Yongbo XueSchool of Pharmaceutical Sciences (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, PR China.
Yong LuoSchool of Pharmaceutical Sciences (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, PR China.ORCID http://orcid.org/0000-0002-8217-5677
Yinyue DengSchool of Pharmaceutical Sciences (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, PR China.ORCID http://orcid.org/0000-0003-1511-0870
G Gregory NeelyDr. John and Anne Chong Laboratory for Functional Genomics, Charles Perkins Centre and School of Life & Environmental Sciences, The University of Sydney, Sydney, NSW, Australia.ORCID http://orcid.org/0000-0002-1957-9732
Guohui WanSchool of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, PR China. wanguoh@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0001-5170-7282
Qiao-Ping WangLaboratory of Metabolism and Aging, School of Pharmaceutical Sciences (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, PR China. wangqp7@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0003-2809-6457
Sun Yat-sen University · CNGarvan Institute of Medical Research · AUThe University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The "death cap", Amanita phalloides, is the world's most poisonous mushroom, responsible for 90% of mushroom-related fatalities. The most fatal component of the death cap is α-amanitin. Despite its lethal effect, the exact mechanisms of how α-amanitin poisons humans remain unclear, leading to no specific antidote available for treatment. Here we show that STT3B is required for α-amanitin toxicity and its inhibitor, indocyanine green (ICG), can be used as a specific antidote. By combining a genome-wide CRISPR screen with an in silico drug screening and in vivo functional validation, we discover that N-glycan biosynthesis pathway and its key component, STT3B, play a crucial role in α-amanitin toxicity and that ICG is a STT3B inhibitor. Furthermore, we demonstrate that ICG is effective in blocking the toxic effect of α-amanitin in cells, liver organoids, and male mice, resulting in an overall increase in animal survival. Together, by combining a genome-wide CRISPR screen for α-amanitin toxicity with an in silico drug screen and functional validation in vivo, our study highlights ICG as a STT3B inhibitor against the mushroom toxin.

Indexed as

HexosyltransferasesMycotoxinsAlpha-AmanitinAmanitaAnimalsAntidotesHumansIndocyanine GreenMaleMembrane ProteinsMiceAlpha-AmanitinAntidotesHexosyltransferasesIndocyanine GreenMembrane ProteinsMycotoxinsSTT3B protein, human

Identifiers

PMID37193694
PMCPMC10188588
OpenAlexW4376871750

What OpenQuestion holds

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LicenceCC BY
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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.