Evidence map›Paper›PMID 37502953›Full record

ArticleResearch square2023

Application of VirCapSeq-VERT and BacCapSeq In the Diagnosis of Presumed and Definitive Neuroinfectious Diseases.

Abhilasha P Boruah, Adam Kroopnick, Riddhi Thakkar, Annie E Wapniarski, Carla Kim, Rachelle Dugue, Eileen Harrigan, W Ian Lipkin, Nischay Mishra, Kiran T Thakur

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In one paragraph

Article in Research square, 2023. 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, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Abhilasha P BoruahColumbia University Department of Neurology.
Adam KroopnickColumbia University Department of Neurology.
Riddhi ThakkarColumbia University Mailman School of Public Health.
Annie E WapniarskiColumbia University Department of Neurology.
Carla KimColumbia University Medical Center.
Rachelle DugueColumbia University Department of Neurology.
Eileen HarriganColumbia University Department of Neurology.
W Ian LipkinColumbia University Mailman School of Public Health.
Nischay MishraColumbia University Mailman School of Public Health.
Kiran T ThakurColumbia University Department of Neurology.ORCID 0000-0003-0050-0323
Columbia University · USColumbia University Irving Medical Center · US

Funding

Clinical Impact of Early Pathogen Identification in Acute Neurological InfectionsK23NS105935 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI THAKUR, KIRAN TERESA · 2018 to 2022
$930k
NINDS NIH HHS K23 NS105935
6 · The paper itself

Abstract

Background: Unbiased high-throughput sequencing (HTS) has enabled new insights into the diversity of agents implicated in central nervous system (CNS) infections. The addition of positive selection capture methods to HTS has enhanced the sensitivity while reducing sequencing costs and complexity of bioinformatic analysis. Here we report the use of virus capture based sequencing for vertebrate viruses (VirCapSeq-VERT) and bacterial capture sequencing (BacCapSeq) in investigating CNS infections. Design/Methods: Thirty-four samples were categorized: (1) Patients with definitive CNS infection by routine testing; (2) Patients meeting clinically Brighton Criteria (BC) for meningoencephalitis (3) Patients with presumptive infectious etiology highest on the differential. RNA extracts from cerebrospinal fluid (CSF) were used for VirCapSeq-VERT and DNA extracts were used for BacCapSeq analysis. Results: Among 8 samples from known CNS infections in group 1, VirCapSeq and BacCapSeq confirmed 3 expected diagnoses (42.8%), were negative in 2 (25%), yielded an alternative result in 1 (11.1%), and did not detect 2 expected negative pathogens. The confirmed cases identified HHV-6, HSV-2, and VZV while the negative samples included JCV and HSV-2. In groups 2 and 3,11/26 samples (42%) were positive for at least one pathogen, however 27% of the total samples (7/26) were positive for commensal organisms. No microbial nucleic acids were detected in negative control samples. Conclusions: HTS showed limited promise for pathogen identification in presumed CNS infectious diseases in our small sample. Before conducting larger-scale prospective studies to assess clinical value of this novel technique, clinicians should understand benefits and limitations of using this modality.

Indexed as

BacCapSeqHigh-throughput sequencing (HTS)Neuroinfectious DiseaseVirCapSeq-VERT

Identifiers

PMID37502953
PMCPMC10371130
OpenAlexW4383878405

What OpenQuestion holds

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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.