Evidence map›Paper›PMID 22644001›Full record

ArticleJournal of visualized experiments : JoVE2012

The α-test: rapid cell-free CD4 enumeration using whole saliva.

Cynthia L Bristow, Mariya A Babayeva, Rozbeh Modarresi, Carole P McArthur, Santosh Kumar, Charles Awasom, Leo Ayuk, Annette Njinda, Paul Achu, Ronald Winston

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In one paragraph

Article in Journal of visualized experiments : JoVE, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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

10 authors at 3 institutions in 2 countries.

Cynthia L BristowDepartment of Medicine, Weill Cornell Medical College. cyb2005@med.cornell.edu
Mariya A Babayeva
Rozbeh Modarresi
Carole P McArthur
Santosh Kumar
Charles Awasom
Leo Ayuk
Annette Njinda
Paul Achu
Ronald Winston
Cornell University · USUniversity of Missouri–Kansas City · USWeill Cornell Medical College in Qatar · QA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is an urgent need for affordable CD4 enumeration to monitor HIV disease. CD4 enumeration is out of reach in resource-limited regions due to the time and temperature restrictions, technical sophistication, and cost of reagents, in particular monoclonal antibodies to measure CD4 on blood cells, the only currently acceptable method. A commonly used cost-saving and time-saving laboratory strategy is to calculate, rather than measure certain blood values. For example, LDL levels are calculated using the measured levels of total cholesterol, HDL, and triglycerides. Thus, identification of cell-free correlates that directly regulate the number of CD4(+) T cells could provide an accurate method for calculating CD4 counts due to the physiological relevance of the correlates. The number of stem cells that enter blood and are destined to become circulating CD4(+) T cells is determined by the chemokine CXCL12 and its receptor CXCR4 due to their influence on locomotion. The process of stem cell locomotion into blood is additionally regulated by cell surface human leukocyte elastase (HLE(CS)) and the HLE(CS)-reactive active α(1)proteinase inhibitor (α(1)PI, α(1)antitrypsin, SerpinA1). In HIV-1 disease, α(1)PI is inactivated due to disease processes. In the early asymptomatic categories of HIV-1 disease, active α(1)PI was found to be below normal in 100% of untreated HIV-1 patients (median=12 μM, and to achieve normal levels during the symptomatic categories. This pattern has been attributed to immune inactivation, not to insufficient synthesis, proteolytic inactivation, or oxygenation. We observed that in HIV-1 subjects with >220 CD4 cells/μl, CD4 counts were correlated with serum levels of active α(1)PI (r(2)=0.93, p<0.0001, n=26) and inactive α(1)PI (r(2)=0.91, p<0.0001, n=26). Administration of α(1)PI to HIV-1 infected and uninfected subjects resulted in dramatic increases in CD4 counts suggesting α(1)PI participates in regulating the number of CD4(+) T cells in blood. With stimulation, whole saliva contains sufficient serous exudate (plasma containing proteinaceous material that passes through blood vessel walls into saliva) to allow measurement of active α(1)PI and the correlation of this measurement is evidence that it is an accurate method for calculating CD4 counts. Briefly, sialogogues such as chewing gum or citric acid stimulate the exudation of serum into whole mouth saliva. After stimulating serum exudation, the activity of serum α(1)PI in saliva is measured by its capacity to inhibit elastase activity. Porcine pancreatic elastase (PPE) is a readily available inexpensive source of elastase. PPE binds to α(1)PI forming a one-to-one complex that prevents PPE from cleaving its specific substrates, one of which is the colorimetric peptide, succinyl-L-Ala-L-Ala-L-Ala-p-nitroanilide (SA(3)NA). Incubating saliva with a saturating concentration of PPE for 10 min at room temperature allows the binding of PPE to all the active α(1)PI in saliva. The resulting inhibition of PPE by active α(1)PI can be measured by adding the PPE substrate SA(3)NA. (Figure 1). Although CD4 counts are measured in terms of blood volume (CD4 cells/μl), the concentration of α(1)PI in saliva is related to the concentration of serum in saliva, not to volume of saliva since volume can vary considerably during the day and person to person. However, virtually all the protein in saliva is due to serum content, and the protein content of saliva is measurable. Thus, active α(1)PI in saliva is calculated as a ratio to saliva protein content and is termed the α(1)PI Index. Results presented herein demonstrate that the α(1)PI Index provides an accurate and precise physiologic method for calculating CD4 counts.

Indexed as

alpha 1-AntitrypsinCD4 Lymphocyte CountCD4-Positive T-LymphocytesFemaleHIV-1HIV InfectionsHumansMaleSalivaalpha 1-Antitrypsin

Identifiers

PMID22644001
PMCPMC3468187
OpenAlexW1965975577

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.