Evidence map›Paper›PMID 41535388›Full record

ArticleNature biomedical engineering2026

Digital CRISPR-based diagnostics for quantification of Candida auris and resistance mutations.

Justin C Rolando, Anton Thieme, Nicole E Weckman, Nayoung Kim, Helena de Puig, Xiao Tan, Emily Cotnoir, Vishnu Chaturvedi, James J Collins, David R Walt

Abstract read
PubMed Publisher
In one paragraph

Article in Nature biomedical engineering, 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

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

10 authors.

Justin C Rolando *Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA.ORCID http://orcid.org/0000-0001-8948-319X
Anton Thieme *Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA.ORCID http://orcid.org/0009-0002-1427-593X
Nicole E Weckman *Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA.ORCID http://orcid.org/0000-0001-5894-4926
Nayoung KimWyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA.ORCID http://orcid.org/0000-0002-3699-6458
Helena de PuigWyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA.ORCID http://orcid.org/0000-0002-5368-6996
Xiao TanWyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA.
Emily CotnoirWadsworth Center Mycology Lab, New York State Department of Health, Albany, NY, USA.
Vishnu ChaturvediWadsworth Center Mycology Lab, New York State Department of Health, Albany, NY, USA.
James J CollinsWyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA. jimjc@mit.edu.ORCID http://orcid.org/0000-0002-5560-8246
David R WaltDepartment of Pathology, Brigham and Women's Hospital, Boston, MA, USA. dwalt@bwh.harvard.edu.ORCID http://orcid.org/0000-0002-5524-7348

Funding

New York State Department of Health - Wadsworth Center (Department of Health, Wadsworth Center) WC-2019-01
6 · The paper itself

Abstract

Candida auris, an increasingly prevalent fungal pathogen, requires both rapid identification and antifungal susceptibility testing to enable proper treatment. This study introduces digital SHERLOCK (dSHERLOCK), a platform that combines CRISPR/Cas nucleic acid detection, single-template quantification and real-time kinetics monitoring. Assays implemented on this platform display excellent sensitivity to C. auris from major clades 1-4, while maintaining specificity when challenged with common environmental and pathogenic fungi. dSHERLOCK detects C. auris within 20 min in minimally processed swab samples and achieves sensitive quantification (1 c.f.u. µl

Identifiers

PMID41535388

What OpenQuestion holds

Textmetadata
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.