Evidence map›Paper›PMID 41794775›Full record

ArticleNature communications2026

High-resolution, high-throughput detection of hidden antibiotic resistance with the dilution-and-delay (DnD) susceptibility assay.

Muqing Ma, Minsu Kim

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Muqing MaDepartment of Physics, Emory University, Atlanta, GA, USA.ORCID http://orcid.org/0009-0001-1369-2689
Minsu KimDepartment of Physics, Emory University, Atlanta, GA, USA. minsu.kim@emory.edu.ORCID http://orcid.org/0000-0003-1594-4971

Funding

U.S. Department of Health & Human Services | NIH | National Institute of Allergy and Infectious Diseases (NIAID) 1U19AI158080
6 · The paper itself

Abstract

Rising rates of antibiotic treatment failure highlight the complexity of resistance mechanisms. While genetically encoded resistance is well established, recent clinical studies have uncovered noncanonical mechanisms driven by phenotypic heterogeneity, such as heteroresistance, persistence, or adaptive resistance. Yet, standard susceptibility tests lack the resolution or throughput to detect these diverse phenotypic mechanisms. To address these limitations, we develop a scalable, high-resolution assay-Dilution-and-Delay (DnD)-by implementing two basic principles of bacterial growth. DnD detects rare drug-insensitive cells at frequencies as low as 1 in 100 million, while also reporting bulk population inhibition as the conventional MIC. We demonstrate this capability across synthetic communities, heteroresistance, persistence, and evolutionary progression. These high-resolution data expose how traditional susceptibility assays are constrained by statistical detection limits. Scaling up DnD for high-throughput application to ~120 clinical isolates reveals that under-the-radar multidrug resistance or tolerance is common. By combining resolution with scalability, DnD provides an advanced platform for antibiotic susceptibility testing with broad impact on basic research, clinical practice, and epidemiological surveillance. It supports a new framework for measuring, defining, and understanding antibiotic resistance.

Indexed as

Anti-Bacterial AgentsBacteriaDrug Resistance, BacterialHigh-Throughput Screening AssaysDrug Resistance, Multiple, BacterialHumansMicrobial Sensitivity TestsAnti-Bacterial Agents

Identifiers

PMID41794775
PMCPMC13096344

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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.