Evidence map›Paper›PMID 23943280›Full record

ReviewJournal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune Pharmacology2013

Approach to cerebrospinal fluid (CSF) biomarker discovery and evaluation in HIV infection.

Richard W Price, Julia Peterson, Dietmar Fuchs, Thomas E Angel, Henrik Zetterberg, Lars Hagberg, Serena Spudich, Richard D Smith, Jon M Jacobs, Joseph N Brown and 1 more

Abstract readReview
In one paragraph

Review in Journal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune Pharmacology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. A new perspective on HIV: effects of HIV on brain-heart axis.Frontiers in cardiovascular medicine · 2023
    Review
  5. Review
  6. Review
  7. Neurocognitive Complications of Pediatric HIV Infections.Current topics in behavioral neurosciences · 2021
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Neurologic Complications in Treated HIV-1 Infection.Current neurology and neuroscience reports · 2016
    Review
  16. Article
  17. Article
  18. Article
  19. Review
  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

11 authors.

Richard W PriceDepartment of Neurology, University of California San Francisco, San Francisco General Hospital, Bldg 1 Room 101, Potrero Avenue, Box 0870 1001, San Francisco, CA, 94110, USA, rwprice@sfgh.ucsf.edu.
Julia Peterson
Dietmar Fuchs
Thomas E Angel
Henrik Zetterberg
Lars Hagberg
Serena Spudich
Richard D Smith
Jon M Jacobs
Joseph N Brown
Magnus Gisslen

Funding

Virology CoreP30AI027763 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PETER W HUNT · 1988 to 2026
$93.6M
WORKSHOP AND TRAINING ACTIVITIESP41RR018522 · NCRR · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI BELOV, MIKHAIL · 2003 to 2011
$25.1M
CSF & Lymphocyte Dynamics in HIV InfectionR01MH062701 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PRICE, RICHARD W. · 2000 to 2010
$3.5M
The Cerebrospinal Fluid Proteome in HIV-1 Infection and Opiate AddictionP01DA026134 · NIDA · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI PRICE, RICHARD W. · 2008 to 2010
$3.0M
The Neuropathobiology of Primary HIV-1 InfectionR01MH081772 · NIMH · YALE UNIVERSITY · PI SPUDICH, SERENA S · 2008 to 2013
$2.7M
Defining CNS HIV Infection in Treated Patients: Foundation for EradicationR21MH096619 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PRICE, RICHARD W. · 2012 to 2013
$390k
NCRR NIH HHS P41 RR018522NCRR NIH HHS RR18522NIAID NIH HHS P30 AI027763NIDA NIH HHS P01 DA026134NIMH NIH HHS R01 MH062701NIMH NIH HHS R01 MH081772NIMH NIH HHS R01 MH62701NIMH NIH HHS R21 MH096619NIMH NIH HHS R21MH096619PHS HHS R024131
6 · The paper itself

Abstract

Central nervous system (CNS) infection is a nearly universal facet of systemic HIV infection that varies in character and neurological consequences. While clinical staging and neuropsychological test performance have been helpful in evaluating patients, cerebrospinal fluid (CSF) biomarkers present a valuable and objective approach to more accurate diagnosis, assessment of treatment effects and understanding of evolving pathobiology. We review some lessons from our recent experience with CSF biomarker studies. We have used two approaches to biomarker analysis: targeted, hypothesis-driven and non-targeted exploratory discovery methods. We illustrate the first with data from a cross-sectional study of defined subject groups across the spectrum of systemic and CNS disease progression and the second with a longitudinal study of the CSF proteome in subjects initiating antiretroviral treatment. Both approaches can be useful and, indeed, complementary. The first is helpful in assessing known or hypothesized biomarkers while the second can identify novel biomarkers and point to broad interactions in pathogenesis. Common to both is the need for well-defined samples and subjects that span a spectrum of biological activity and biomarker concentrations. Previously-defined guide biomarkers of CNS infection, inflammation and neural injury are useful in categorizing samples for analysis and providing critical biological context for biomarker discovery studies. CSF biomarkers represent an underutilized but valuable approach to understanding the interactions of HIV and the CNS and to more objective diagnosis and assessment of disease activity. Both hypothesis-based and discovery methods can be useful in advancing the definition and use of these biomarkers.

Indexed as

AIDS Dementia ComplexBiomarkersHIV InfectionsHumansBiomarkers

Identifiers

PMID23943280
PMCPMC3889225

What OpenQuestion holds

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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.