Evidence map›Paper›PMID 41778823›Full record

ArticleMicrobiology spectrum2026

Evaluation of the Ultima Genomics UG 100 sequencer for low-cost, high-sensitivity metagenomic pathogen detection from cerebrospinal fluid.

Ryan C Shean, Keith D Tardif, Alexandra Rangel, Jacob Dutrschi, David Bogumil, Alix Cruse, Samm Hernandez, Nika Iremadze, Sarah Pollock, Doron Lipson and 1 more

Abstract readEvaluation Study
In one paragraph

Article in Microbiology spectrum, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Ryan C SheanDepartment of Pathology, University of Utah, Salt Lake City, Utah, USA.ORCID 0000-0001-7855-4976
Keith D TardifARUP Laboratories, Salt Lake City, Utah, USA.
Alexandra RangelARUP Laboratories, Salt Lake City, Utah, USA.
Jacob DutrschiARUP Laboratories, Salt Lake City, Utah, USA.
David BogumilUltima Genomics, Fremont, California, USA.
Alix CruseUltima Genomics, Fremont, California, USA.
Samm HernandezUltima Genomics, Fremont, California, USA.
Nika IremadzeUltima Genomics, Fremont, California, USA.
Sarah PollockUltima Genomics, Fremont, California, USA.
Doron LipsonUltima Genomics, Fremont, California, USA.
Benjamin T BradleyDepartment of Pathology, University of Utah, Salt Lake City, Utah, USA.ORCID 0000-0002-8064-9314

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clinical metagenomic next-generation sequencing (mNGS) is a diagnostic tool allowing near-universal pathogen detection directly from clinical specimens. Despite promising clinical data, broad adoption of mNGS has been hindered by high cost and reduced sensitivity relative to targeted nucleic acid amplification tests (NAATs). Recently, Ultima Genomics introduced the UG 100 NGS platform which advertises 10 billion reads per $2,400 sequencing wafer. By lowering costs and improving sequencing depth, the historical value proposition of mNGS may be improved. This study evaluates the UG 100 sequencer's ability to generate reads for metagenomic pathogen detection from cerebrospinal fluid specimens. Ultima reads demonstrated 93% (26/28) positive agreement with orthogonal test results and 63% (10/16) negative agreement against a syndromic panel for meningitis and encephalitis. Near full-length genomes were recovered for three organisms (human herpesvirus-1 [HSV-1],

Indexed as

BacteriaCerebrospinal FluidEncephalitisHigh-Throughput Nucleotide SequencingMeningitisMetagenomicsHaemophilus influenzaeHerpesvirus 1, HumanHumansMolecular Diagnostic TechniquesSensitivity and SpecificityStreptococcus pneumoniaeclinical metagenomicsmetagenomicsmNGSnext-generation sequencingnovel diagnostics

Identifiers

PMID41778823
PMCPMC13055356

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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.