Evidence map›Paper›PMID 38992308›Full record

ReviewMolecular diagnosis & therapy2024

Clinical Metagenomic Next-Generation Sequencing for Diagnosis of Central Nervous System Infections: Advances and Challenges.

LingHui David Su, Charles Y Chiu, David Gaston, Catherine A Hogan, Steve Miller, Dennis W Simon, Kiran T Thakur, Shangxin Yang, Anne Piantadosi

Abstract readReview
In one paragraph

Review in Molecular diagnosis & therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. Article
  2. Clinical utility of metagenomic next-generation sequencing in precision diagnosis of infectious diseases: a retrospective study based on bronchoalveolar lavage fluid, blood, and cerebrospinal fluid.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. [Advances in the Application of Artificial Intelligence in Clinical Microbiological Testing].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2026
    Review
  9. Integrating metagenomics and metatranscriptomics intoThe Journal of general virology · 2026
    Review
  10. Article
  11. ​C-arm-guided percutaneous biopsy combined with mNGS: a dual-modality strategy for op​timizing diagnosis and targeted management of spinal infections.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
    Review
  12. Article
  13. Article
  14. Fatal Pharyngeal Cellulitis Caused byInfection and drug resistance · 2026
    Article
  15. Article
  16. Article
  17. Article
  18. Case Report: FromFrontiers in immunology · 2026
    Article
  19. Article
  20. Article
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

9 authors.

LingHui David SuBritish Columbia Centre for Disease Control, Vancouver, British Columbia, Canada.
Charles Y ChiuThe Consortium for Clinical Metagenomics in Infectious Diseases, Nashville, TN, USA.
David GastonThe Consortium for Clinical Metagenomics in Infectious Diseases, Nashville, TN, USA.
Catherine A HoganBritish Columbia Centre for Disease Control, Vancouver, British Columbia, Canada.
Steve MillerThe Consortium for Clinical Metagenomics in Infectious Diseases, Nashville, TN, USA.
Dennis W SimonThe Consortium for Clinical Metagenomics in Infectious Diseases, Nashville, TN, USA.
Kiran T ThakurThe Consortium for Clinical Metagenomics in Infectious Diseases, Nashville, TN, USA.
Shangxin YangThe Consortium for Clinical Metagenomics in Infectious Diseases, Nashville, TN, USA.
Anne PiantadosiThe Consortium for Clinical Metagenomics in Infectious Diseases, Nashville, TN, USA. anne.piantadosi@emory.edu.ORCID 0000-0002-5942-1534

Funding

Impact of microbiota-derived metabolites on traumatic brain injury-related neurodegenerationR01NS127372 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Robert S B Clark, Michael Morowitz · 2023 to 2026
$2.2M
Clinical Impact of Early Pathogen Identification in Acute Neurological InfectionsK23NS105935 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI THAKUR, KIRAN TERESA · 2018 to 2022
$930k
NIH HHS 1K23NS105935-01NINDS NIH HHS K23 NS105935NINDS NIH HHS R01 NS127372
6 · The paper itself

Abstract

Central nervous system (CNS) infections carry a substantial burden of morbidity and mortality worldwide, and accurate and timely diagnosis is required to optimize management. Metagenomic next-generation sequencing (mNGS) has proven to be a valuable tool in detecting pathogens in patients with suspected CNS infection. By sequencing microbial nucleic acids present in a patient's cerebrospinal fluid, brain tissue, or samples collected outside of the CNS, such as plasma, mNGS can detect a wide range of pathogens, including rare, unexpected, and/or fastidious organisms. Furthermore, its target-agnostic approach allows for the identification of both known and novel pathogens. This is particularly useful in cases where conventional diagnostic methods fail to provide an answer. In addition, mNGS can detect multiple microorganisms simultaneously, which is crucial in cases of mixed infections without a clear predominant pathogen. Overall, clinical mNGS testing can help expedite the diagnostic process for CNS infections, guide appropriate management decisions, and ultimately improve clinical outcomes. However, there are key challenges surrounding its use that need to be considered to fully leverage its clinical impact. For example, only a few specialized laboratories offer clinical mNGS due to the complexity of both the laboratory methods and analysis pipelines. Clinicians interpreting mNGS results must be aware of both false negatives-as mNGS is a direct detection modality and requires a sufficient amount of microbial nucleic acid to be present in the sample tested-and false positives-as mNGS detects environmental microbes and their nucleic acids, despite best practices to minimize contamination. Additionally, current costs and turnaround times limit broader implementation of clinical mNGS. Finally, there is uncertainty regarding the best practices for clinical utilization of mNGS, and further work is needed to define the optimal patient population(s), syndrome(s), and time of testing to implement clinical mNGS.

Indexed as

Central Nervous System InfectionsHigh-Throughput Nucleotide SequencingMetagenomicsHumansMetagenomeMolecular Diagnostic Techniques

Identifiers

PMID38992308
PMCPMC11660858

What OpenQuestion holds

Textmetadata
LicenceTDM
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.