Evidence map›Paper›PMID 27444025›Full record

ArticleIET systems biology2016

Increased inflammation in sanctuary sites may explain viral blips in HIV infection.

E Fabian Cardozo, Michael J Piovoso, Ryan Zurakowski

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in IET systems biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 40% of its field
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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Review
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

3 authors at 3 institutions in 1 country.

E Fabian CardozoTheoretical Biology and Biophysics Group, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA. fabian_c@lanl.gov.
Michael J PiovosoElectrical Engineering Department, Pennsylvania State University, Malvern, Pennsylvania 19355, USA.
Ryan ZurakowskiElectrical and Computer Engineering Department, University of Delaware, Newark, Delaware 19716, USA.
Los Alamos National Laboratory · USPennsylvania State University · USUniversity of Delaware · US

Funding

HIV 2-LTR Dynamics and Cryptic ViremiaR21AI110288 · NIAID · UNIVERSITY OF DELAWARE · PI ZURAKOWSKI, RYAN M · 2014 to 2015
$418k
NIAID NIH HHS R21 AI110288
6 · The paper itself

Abstract

Combined antiretroviral therapy (cART) suppress HIV-1 viral replication, such that viral load in plasma remains below the limit of detection in standard assays. However, intermittent episodes of transient viremia (blips) occur in a set of HIV-patients. Given that follicular hyperplasia occurs during lymphoid inflammation as a normal response to infection, it is hypothesised that when the diameter of the lymph node follicle (LNF) increases and crosses a critical size, a viral blip occurs due to cryptic viremia. To study this hypothesis, a theoretical analysis of a mathematical model is performed to find the conditions for virus suppression in all compartments and different scenarios of LNF size changes are simulated. According to the analysis, blips with duration of around 30 days arise when the diameter rise rate is between 0.02 and 0.03 days(-1). Moreover, the final diameter of the site is directly related to the steady states of the virus load after the occurrence of a blip. When the value of R0 is around 2.1, to have a steady-state below the limit of detection after the viral blip, the maximum final diameters should be greater than 0.7 mm so that there is a relative loss of connection between compartments.

Indexed as

InflammationViral LoadViremiaHIV-1HIV InfectionsHumansModels, Theoretical

Identifiers

PMID27444025
PMCPMC5240816
OpenAlexW2407846966

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.