Evidence map›Paper›PMID 41660233›Full record

ReviewiScience2026

Agnostic capture of pathogens for the detection and diagnostics of emerging threats.

Anastasiya Sakkos, Brandon Saint-John, Tomas Tyml, Eva Myskova, Lorenzo Aureli, Jamie L Inman, Antoine M Snijders, Nigel J Mouncey, Harshini Mukundan, Frederik Schulz

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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.

Anastasiya SakkosDOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
Brandon Saint-JohnBiological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
Tomas TymlDOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
Eva MyskovaDOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
Lorenzo AureliDOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
Jamie L InmanBiological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
Antoine M SnijdersBiological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
Nigel J MounceyDOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
Harshini MukundanOffice of National and Homeland Security, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
Frederik SchulzDOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The continued emergence of pathogens, whether novel, re-emerging, or engineered, poses a persistent global biosecurity and public health challenge. Recent outbreaks, including COVID-19, Lassa fever, Marburg virus, mpox, and avian influenza, underscore the urgent need for robust systems that enable rapid surveillance, early diagnosis, and timely countermeasures before widespread human transmission occurs. In this article, we focus on early detection technologies and systematically evaluate current diagnostic and sensing modalities. We highlight sequencing and spectroscopy as two complementary approaches capable of providing broad, agnostic detection and rich biological insight. Our analysis emphasizes that scientific innovation alone is insufficient: effective preparedness also requires improved data curation, integration, and sharing to build AI-ready resources that accelerate future responses. We argue for coordinated advances in both technological capabilities and supporting infrastructure to enable the rapid identification and characterization of emerging pathogens and to fully leverage modern science against evolving infectious threats.

Indexed as

Environmental healthMicrobiologyPathogenic organismPublic health

Identifiers

PMID41660233
PMCPMC12874134

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.