Evidence map›Paper›PMID 33870144›Full record

ArticleiScience2021

Hidden suppressive interactions are common in higher-order drug combinations.

Natalie Ann Lozano-Huntelman, April Zhou, Elif Tekin, Mauricio Cruz-Loya, Bjørn Østman, Sada Boyd, Van M Savage, Pamela Yeh

Open access · goldAbstract read
In one paragraph

Article in iScience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Natalie Ann Lozano-HuntelmanEcology and Evolutionary Biology, University of California, Los Angeles, 90095, USA.
April ZhouEcology and Evolutionary Biology, University of California, Los Angeles, 90095, USA.
Elif TekinEcology and Evolutionary Biology, University of California, Los Angeles, 90095, USA.
Mauricio Cruz-LoyaComputational and Systems Biology, University of California, Los Angeles, 90095, USA.
Bjørn ØstmanEcology and Evolutionary Biology, University of California, Los Angeles, 90095, USA.
Sada BoydEcology and Evolutionary Biology, University of California, Los Angeles, 90095, USA.
Van M SavageEcology and Evolutionary Biology, University of California, Los Angeles, 90095, USA.
Pamela YehEcology and Evolutionary Biology, University of California, Los Angeles, 90095, USA.
University of California, Los Angeles · USSanta Fe Institute · US

Funding

UPLIFT: UCLA Postdocs' Longitudinal Investment in Faculty TrainingK12GM106996 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CAREY, MICHAEL F, VILLANUEVA, CLAUDIO J · 2016 to 2025
$7.1M
NIGMS NIH HHS K12 GM106996
6 · The paper itself

Abstract

The rapid increase of multi-drug resistant bacteria has led to a greater emphasis on multi-drug combination treatments. However, some combinations can be suppressive-that is, bacteria grow faster in some drug combinations than when treated with a single drug. Typically, when studying interactions, the overall effect of the combination is only compared with the single-drug effects. However, doing so could miss "hidden" cases of suppression, which occur when the highest order is suppressive compared with a lower-order combination but not to a single drug. We examined an extensive dataset of 5-drug combinations and all lower-order-single, 2-, 3-, and 4-drug-combinations. We found that a majority of all combinations-54%-contain hidden suppression. Examining hidden interactions is critical to understanding the architecture of higher-order interactions and can substantially affect our understanding and predictions of the evolution of antibiotic resistance under multi-drug treatments.

Indexed as

MicrobiologySystems Biology

Identifiers

PMID33870144
PMCPMC8044428
OpenAlexW3143625685

What OpenQuestion 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 OpenQuestion graph.