scholarly journals The clinical potential of circulating immune cell counts in primary gastric lymphoma

2021 ◽  
Vol 12 (2) ◽  
pp. 365-376
Author(s):  
Ayman Haimour ◽  
Osama Abu-Shawer ◽  
Mohammad Abu-Shawer ◽  
Ali Al-Taji ◽  
Tamer Altamimi ◽  
...  
Processes ◽  
2019 ◽  
Vol 7 (5) ◽  
pp. 301
Author(s):  
Muying Wang ◽  
Satoshi Fukuyama ◽  
Yoshihiro Kawaoka ◽  
Jason E. Shoemaker

Motivation: Immune cell dynamics is a critical factor of disease-associated pathology (immunopathology) that also impacts the levels of mRNAs in diseased tissue. Deconvolution algorithms attempt to infer cell quantities in a tissue/organ sample based on gene expression profiles and are often evaluated using artificial, non-complex samples. Their accuracy on estimating cell counts given temporal tissue gene expression data remains not well characterized and has never been characterized when using diseased lung. Further, how to remove the effects of cell migration on transcript counts to improve discovery of disease factors is an open question. Results: Four cell count inference (i.e., deconvolution) tools are evaluated using microarray data from influenza-infected lung sampled at several time points post-infection. The analysis finds that inferred cell quantities are accurate only for select cell types and there is a tendency for algorithms to have a good relative fit (R 2 ) but a poor absolute fit (normalized mean squared error; NMSE), which suggests systemic biases exist. Nonetheless, using cell fraction estimates to adjust gene expression data, we show that genes associated with influenza virus replication and increased infection pathology are more likely to be identified as significant than when applying traditional statistical tests.


1987 ◽  
Vol 74 (6) ◽  
pp. 483-487 ◽  
Author(s):  
M. S. Hockey ◽  
Jean Powell ◽  
J. Crocker ◽  
J. W. L. Fielding

2011 ◽  
Vol 18 (6) ◽  
pp. 940-946 ◽  
Author(s):  
Nancy F. Crum-Cianflone ◽  
Mollie Roediger ◽  
Lynn E. Eberly ◽  
Anuradha Ganesan ◽  
Amy Weintrob ◽  
...  

ABSTRACTPrior studies have shown that weight may impact immune cell counts. However, few data exist about the relationship of weight and immune cell counts among HIV-infected patients. We examined documented HIV seroconverters (mean window, 15.7 months) in a prospective U.S. Military HIV Natural History Study (1 January 1986 to 20 January 2010). We estimated the association of the time-updated body mass index (BMI) category with changes in immune cell counts from HIV diagnosis across time (mean follow-up of 5.1 years) using multiply adjusted longitudinal linear mixed-effects models. Of 1,097 HIV seroconverters, 448 (41%) were overweight and 93 (8%) were obese at HIV diagnosis. Immune cell counts at HIV diagnosis did not significantly differ by BMI category. In the longitudinal models for those diagnosed before the advent of the highly active antiretroviral therapy (HAART) era, mean postdiagnosis decreases in the white cell count, total lymphocyte count, CD4 count, CD4 percentage, and CD4/CD8 ratio were less as the BMI category increased (all withPvalues of <0.05). Among HIV seroconverters diagnosed in the HAART era, obese compared to normal-weight patients had significantly smaller increases in CD4 counts, CD4 percentages, and the CD4/CD8 ratio (all withPvalues of <0.05). Similar findings were also noted among underweight versus normal-weight patients. In conclusion, although BMI was not associated with immune cell levels at the time of HIV diagnosis, weight appears to affect immune cells counts over the course of infection. In the HAART era, being either underweight or obese was associated with smaller increases in several important immune cell levels, including the CD4/CD8 ratio.


2006 ◽  
Vol 38 ◽  
pp. S108
Author(s):  
A. Zullo ◽  
A. Andriani ◽  
F. Di Raimoudo ◽  
C. Patti ◽  
L. Tedeschi ◽  
...  

1995 ◽  
Vol 19 (5-6) ◽  
pp. 461-466 ◽  
Author(s):  
Pier Luigi Zinzani ◽  
Giampiero Frezza ◽  
Maurizio Bendandi ◽  
Enza Barbieri ◽  
Filippo Gherlinzoni ◽  
...  

2014 ◽  
Vol 4 ◽  
pp. 273-278 ◽  
Author(s):  
Kucukoner Mehmet ◽  
Cihan Sener ◽  
Ummugul Uyeturk ◽  
Mesut Seker ◽  
Didem Tastekin ◽  
...  

Radiology ◽  
1987 ◽  
Vol 165 (3) ◽  
pp. 821-826 ◽  
Author(s):  
L Bolondi ◽  
P Casanova ◽  
G C Caletti ◽  
W Grigioni ◽  
L Zani ◽  
...  

2018 ◽  
Vol 25 (1) ◽  
Author(s):  
Christiane Schmautz ◽  
Nadine Müller ◽  
Marlene Auer ◽  
Ines Ballweg ◽  
Michael W. Pfaffl ◽  
...  

eLife ◽  
2021 ◽  
Vol 10 ◽  
Author(s):  
Farina Karim ◽  
Inbal Gazy ◽  
Sandile Cele ◽  
Yenzekile Zungu ◽  
Robert Krause ◽  
...  

There are conflicting reports on the effects of HIV on COVID-19. Here we analyzed disease severity and immune cell changes during and after SARS-CoV-2 infection in 236 participants from South Africa, of which 39% were people living with HIV (PLWH), during the first and second (beta dominated) infection waves. The second wave had more PLWH requiring supplemental oxygen relative to HIV negative participants. Higher disease severity was associated with low CD4 T cell counts and higher neutrophil to lymphocyte ratios (NLR). Yet, CD4 counts recovered and NLR stabilized after SARS-CoV-2 clearance in wave 2 infected PLWH, arguing for an interaction between SARS-CoV-2 and HIV infection leading to low CD4 and high NLR. The first infection wave, where severity in HIV negative and PLWH was similar, still showed some HIV modulation of SARS-CoV-2 immune responses. Therefore, HIV infection can synergize with the SARS-CoV-2 variant to change COVID-19 outcomes.


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