Evidence map›Paper›PMID 42439573›Full record

ArticleMicrobiology spectrum2026

Clinical impact of 16S rRNA RC-PCR NGS on infectious disease management.

Merlijn H I van Haren, Lieke Ten Have, Pieter D Koopman, Jochem B Buil, Ianthe Maat, Janette C Rahamat-Langendoen, Liesbeth Martens, Simone J C F M Moorlag, Bart van den Bosch, Ellen Koenraad and 3 more

Abstract read
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

13 authors.

Merlijn H I van Haren *Department of Medical Microbiology, Radboudumc Community for Infectious Diseases, Radboudumc, Nijmegen, the Netherlands.ORCID 0000-0003-2281-8834
Lieke Ten Have *Department of Medical Microbiology, Radboudumc Community for Infectious Diseases, Radboudumc, Nijmegen, the Netherlands.ORCID 0009-0007-3545-1409
Pieter D KoopmanDepartment of Medical Microbiology, Radboudumc Community for Infectious Diseases, Radboudumc, Nijmegen, the Netherlands.
Jochem B BuilDepartment of Medical Microbiology, Radboudumc Community for Infectious Diseases, Radboudumc, Nijmegen, the Netherlands.ORCID 0000-0003-4031-0778
Ianthe MaatDepartment of Medical Microbiology, Radboudumc Community for Infectious Diseases, Radboudumc, Nijmegen, the Netherlands.
Janette C Rahamat-LangendoenDepartment of Medical Microbiology, Radboudumc Community for Infectious Diseases, Radboudumc, Nijmegen, the Netherlands.ORCID 0000-0003-0120-7962
Liesbeth MartensDepartment of Medical Microbiology, Radboudumc Community for Infectious Diseases, Radboudumc, Nijmegen, the Netherlands.
Simone J C F M MoorlagDepartment of Medical Microbiology, Radboudumc Community for Infectious Diseases, Radboudumc, Nijmegen, the Netherlands.ORCID 0000-0001-8884-8417
Bart van den BoschDepartment of Medical Microbiology, Radboudumc Community for Infectious Diseases, Radboudumc, Nijmegen, the Netherlands.
Ellen KoenraadDepartment of Medical Microbiology, Radboudumc Community for Infectious Diseases, Radboudumc, Nijmegen, the Netherlands.
Heiman F L WertheimDepartment of Medical Microbiology, Radboudumc Community for Infectious Diseases, Radboudumc, Nijmegen, the Netherlands.
Willem J G MelchersDepartment of Medical Microbiology, Radboudumc Community for Infectious Diseases, Radboudumc, Nijmegen, the Netherlands.ORCID 0000-0002-5446-2230
Suzan D PasDepartment of Medical Microbiology, Radboudumc Community for Infectious Diseases, Radboudumc, Nijmegen, the Netherlands.ORCID 0000-0003-1943-1217

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

16S rRNA metagenomics provides a culture-independent method for diagnosing infections with fastidious or uncultivable organisms, guiding targeted therapy, and detecting polymicrobial communities. This study utilizes reverse complement (RC)-PCR next-generation sequencing (NGS) to accurately identify bacterial pathogens from clinical specimens and assess its impact on clinical decision-making, setting it apart from conventional 16S sequencing approaches. A retrospective analysis of an ISO 15189 accredited 16S RC-PCR NGS diagnostic workflow targeting the V1-6 and V9 regions of the 16S rRNA gene was conducted over a 2-year period, including 390 clinical specimens from 316 patients. 16S RC-PCR NGS results were discussed in a multidisciplinary consultation and subsequently reported to the clinic. In total, 1,283 RC-PCR results were analyzed, of which 517 were from clinical specimens, 284 were negative controls, 66 were positive controls, and 416 were from wet lab and bioinformatic pipeline validation. 16S RC-PCR NGS assay detected bacterial taxa in 179/390 (45.9%) of clinical specimens, while 201/390 (51.5%) were negative, and 10/390 (2.6%) yielded uninterpretable results. The specimen types pus, pleural fluid, and heart valves exhibited the highest positivity rate (68% to 70%). Overall, 16S RC-PCR NGS influenced diagnostic decision making in 145/282 (51.4%) clinical cases and guided therapeutic management in 77/282 (27.3%) cases. Results providing definite evidence for either the presence or absence of bacterial infection were considered clinically valuable. Integration of 16S RC-PCR NGS pathogen detection with multidisciplinary consultation markedly improved clinical management, directly impacting diagnosis and treatment of complex clinical cases in a tertiary care setting. The effect was most pronounced in brain abscess patients, where RC-PCR results guided treatment decisions in 9/13 (69.2%) of cases.IMPORTANCETimely and accurate diagnosis is essential for managing serious infections, yet clinicians often face situations where routine laboratory tests do not provide clear answers. This study demonstrates that next-generation sequencing (NGS) of the bacterial 16S rRNA gene can decisively resolve these uncertainties. By revealing whether bacteria are present in clinical specimens, this approach influenced clinical reasoning and supported treatment decisions across a variety of challenging cases. 16S reverse-complement PCR was especially powerful for brain abscesses and infections where the causative microorganism was unclear, providing clarity that directly improved patient care. These findings show that integrating advanced sequencing with expert clinical interpretation can enhance the management of complex infections and support more confident, evidence-based therapy.

Indexed as

BacteriaBacterial InfectionsCommunicable DiseasesHigh-Throughput Nucleotide SequencingPolymerase Chain ReactionRNA, Ribosomal, 16SClinical Decision-MakingDNA, BacterialHumansMetagenomicsMolecular Diagnostic TechniquesRetrospective StudiesDNA, BacterialRNA, Ribosomal, 16S16S rRNAclinical impactmetagenomicsmolecular diagnosticsNGS

Identifiers

PMID42439573
PMCPMC13436334

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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.