--IMA.Boundary.485982618
Content-Type: text/plain; charset=US-ASCII; name="MIME bodypart headers"
Content-Transfer-Encoding: 7bit
Content-Description: cc:Mail note part
Received: from pasteur.hjf.org by inetgw.hjf.org with SMTP
(IMA Internet Exchange 1.04b) id 0a557d00; Sat, 11 Nov 95 21:11:28 -0500
Received: from flowcyt.cyto.purdue.edu by pasteur (5.0/SMI-SVR4)
id AA07163; Sat, 11 Nov 1995 21:11:40 +0500
Received: by flowcyt.cyto.purdue.edu (950215.SGI.8.6.10/930416.SGI.AUTO)
for cyto-sendout id TAA10274; Sat, 11 Nov 1995 19:26:52 -0500
Received: from biobase.dk by flowcyt.cyto.purdue.edu via SMTP (950215.SGI.8.6.10/
930416.SGI.AUTO)
for <cytometry@flowcyt.cyto.purdue.edu> id KAA08687; Sat, 11 Nov 1995 10:36:32 -
0500
Received: by biobase.dk; id AA31864; Sat, 11 Nov 1995 16:42:13 +0100
Date: Sat, 11 Nov 1995 16:42:13 +0100 (MET)
From: Bjarne Moeller <bkm@biobase.dk>
Subject: HIV viral load and flow cytometry: methods & perspectives?
To: cyto-inbox
Message-Id: <Pine.3.89.9511111627.A31536-0100000@biobase.dk>
Mime-Version: 1.0
Content-Type: TEXT/PLAIN; charset=US-ASCII
content-length: 925
--IMA.Boundary.485982618
Content-Type: text/plain; charset=US-ASCII
Content-Transfer-Encoding: quoted-printable
Content-Description: cc:Mail note part
=B7 To the best of my knowledge I have not seen any longitudinal data tha=
t has =
validated the number of infected cells with clinical outcome. We have do=
ne =
something a little bit different than what was originally published by =
Schmittman at the NIH when attempting to quantitate the number of infecte=
d cells =
in HIV. He used limiting dilution's followed by PCR for the gag products=
=2E In =
our approach we sorted cells into dilution's starting at 10K and ending a=
t 10 =
cells followed by PCR for the gag products. These were measured by a tec=
hnique =
known as the liquid hybridization protection assay which is a qualitative=
assay =
for the presence of these products. These results were only studied on a=
cross-
sectional basis and were only intended to answer questions related to oth=
er =
infected cell types such as monocytes. However, I wide range of results=
were =
seen, some positive at <100 cells and other still negative at 10,000 cel=
ls. =
This might lead one to believe a correlation might exist with clinical ou=
tcome.
Stephen P. Perfetto
Department of HIV Disease Prevention
Walter Reed Army Institute of Research
1600 East Gide Drive
Rockville, MD. 20850
_________________________________________________________________________=
______
Subject: HIV viral load and flow cytometry: methods & perspectives?
From: Bjarne Moeller <bkm@biobase.dk> at Internet_Gateway
Date: 11/11/95 4:42 PM
The clinicians at our center has confronted me with a few relatively =
simple questions, which I am not able to answer and therefore has =
forwarded to the List of Flow'ers:
We have been wondering if anybody has used flow cytometry to count the =
number of infected cells in HIV-1 patients. Any communications of =
correlation to molecular biology (ie. semiquantitative HIV-1 RNA-PCR)?
If so, is the infected fraction predictive of clinical outcome of HIV-1 =
infected patients? =
_________________________________________________________________
Bjarne K. Moeller, MD =
Dept. of Clin. Immunology Voice: +45 8949 5304
University Hospital of Aarhus Fax: +45 8949 6007
Skejby Sygehus =
DK-8200 Aarhus, Denmark E-mail: bkm@biobase.dk
_________________________________________________________________
--IMA.Boundary.485982618--