scholarly journals Lymphocyte Subsets in HIV-Exposed Uninfected Infants: The Impact of Neonatal Postexposure Prophylaxis With Zidovudine

2020 ◽  
Vol 7 (4) ◽  
Author(s):  
Beat M Greiter ◽  
Christian R Kahlert ◽  
Nadia Eberhard ◽  
Leila Sultan-Beyer ◽  
Christoph Berger ◽  
...  

Abstract HIV-exposed, uninfected (HEU) infants receiving neonatal postexposure prophylaxis with zidovudine showed nonsignificant trends of lower CD4 and CD8 T cells as well as CD19 B cells than those who did not, suggesting toxicity that might impact the overall health of HEU children.

2014 ◽  
Vol 17 (3) ◽  
pp. 421-426 ◽  
Author(s):  
B. Tokarz-Deptuła ◽  
P. Niedźwiedzka-Rystwej ◽  
B. Hukowska-Szematowicz ◽  
M. Adamiak ◽  
A. Trzeciak-Ryczek ◽  
...  

Abstract In Poland, rabbit is a highly valued animal, due to dietetic and flavour values of its meat, but above all, rabbits tend to be commonly used laboratory animals. The aim of the study was developing standards for counts of B-cells with CD19+ receptor, T-cells with CD5+ receptor, and their subpopulations, namely T-cells with CD4+, CD8+ and CD25+ receptor in the peripheral blood of mixed-breed Polish rabbits with addition of blood of meet breeds, including the assessment of the impact of four seasons of the year and animal sex on the values of the immunological parameters determined. The results showed that the counts of B- and T-cells and their subpopulations in peripheral blood remain within the following ranges: for CD19+ B-cells: 1.05 - 3.05%, for CD5+ T-cells: 34.00 - 43.07%, CD4+ T-cells: 23.52 - 33.23%, CD8+ T-cells: 12.55 - 17.30%, whereas for CD25+ T-cells: 0.72 - 2.81%. As it comes to the season of the year, it was observed that it principally affects the values of CD25+ T-cells, while in the case of rabbit sex, more changes were found in females.


Blood ◽  
2004 ◽  
Vol 104 (11) ◽  
pp. 408-408 ◽  
Author(s):  
Yoshiyuki Takahashi ◽  
S. Chakrabarti ◽  
R. Sriniivasan ◽  
A. Lundqvist ◽  
E.J. Read ◽  
...  

Abstract AMD3100 (AMD) is a bicyclam compound that rapidly mobilizes hematopoietic progenitor cells into circulation by inhibiting stromal cell derived factor-1 binding to its cognate receptor CXCR4 present on CD34+ cells. Preliminary data in healthy donors and cancer patients show large numbers of CD34+ cells are mobilized following a single injection of AMD3100. To determine whether AMD3100 mobilized cells would be suitable for allografting, we performed a detailed phenotypic analysis using 6 color flow cytometry (CYAN Cytometer MLE) of lymphocyte subsets mobilized following the administration of AMD3100, given as a single 240mcg/kg injection either alone (n=4) or in combination with G-CSF (n=2: G-CSF 10 mcg/kg/day x 5: AMD3100 given on day 4). Baseline peripheral blood (PB) was obtained immediately prior to mobilization; in recipients who received both agents, blood was analyzed 4 days following G-CSF administration as well as 12 hours following administration of AMD3100 and a 5th dose of G-CSF. AMD3100 alone significantly increased from baseline the PB WBC count (2.8 fold), Absolute lymphocyte count (ALC: 2.5 fold), absolute monocyte count (AMC: 3.4 fold), and absolute neutrophil count (ANC: 2.8 fold). Subset analysis showed AMD3100 preferentially increased from baseline PB CD34+ progenitor counts (5.8 fold), followed by CD19+ B-cells (3.7 fold), CD14+ monocytes (3.4 fold), CD8+ T-cells (2.5 fold), CD4+ T-cells (1.8 fold), with a smaller increase in CD3−/CD16+ or CD56+ NK cell counts (1.6 fold). There was no change from baseline in the % of CD4+ or CD8+ T-cell expressing CD45RA, CD45RO, or CD56, CD57, CD27, CD71 or HLA-DR. In contrast, there was a decline compared to baseline in the mean percentage of CD3+/CD4+ T-cells expressing CD25 (5.5% vs 14.8%), CD62L (12.1% vs 41.1%), CCR7 (2.1% vs 10.5%) and CXCR4 (0.5% vs 40.9%) after AMD3100 administration; similar declines in expression of the same 4 surface markers were also observed in CD3+/CD8+ T-cells. A synergistic effect on the mobilization of CD34+ progenitors, CD19+ B cells, CD3+ T-cells and CD14+ monocytes occurred when AMD3100 was combined with G-CSF (Figure). In those receiving both AMD3100 and G-CSF, a fall in the % of T-cells expressing CCR7 and CXCR4 occurred 12 hours after the administration of AMD3100 compared to PB collected after 4 days of G-CSF; no other differences in the expression of a variety activation and/or adhesion molecules on T-cell subsets were observed. Whether differences in lymphocyte subsets mobilized with AMD3100 alone or in combination with G-CSF will impact immune reconstitution or other either immune sequela (i.e. GVHD, graft-vs-tumor) associated with allogeneic HCT is currently being assessed in an animal model of allogeneic transplantation.


2020 ◽  
Author(s):  
Hasi Chaolu ◽  
Xinri Zhang ◽  
Xin Li ◽  
Xin Li ◽  
Dongyan Li

To investigate the immune status of people who previously had COVID-19 infections, we recruited patients 2 weeks post-recovery and analyzed circulating cytokines and lymphocyte subsets. We measured levels of total lymphocytes, CD4+ T cells, CD8+ T cells, CD19+ B cells, CD56+ NK cells, and the serum concentrations of interleukin (IL)-1, IL-4, IL-6, IL-8, IL-10, transforming growth factor beta (TGF-β), tumor necrosis factor alpha (TNF-α), and interferon gamma (IFN-γ) by flow cytometry. We found that in most post-recovery patients, levels of total lymphocytes (66.67%), CD3+ T cells (54.55%), CD4+ T cells (54.55%), CD8 + T cells (81.82%), CD19+ B cells (69.70%), and CD56+ NK cells(51.52%) remained lower than normal, whereas most patients showed normal levels of IL-2 (100%), IL-4 (80.88%), IL-6 (79.41%), IL-10 (98.53%), TNF-α (89.71%), IFN-γ (100%) and IL-17 (97.06%). Compared to healthy controls, 2-week post-recovery patients had significantly lower absolute numbers of total lymphocytes, CD3+ T cells, CD4+ T cells, CD8+ T cells, CD19+ B cells, and CD56+ NK cells, along with significantly higher levels of IL-2, IL-4, IL-6, IL-10, TNF-α, IFN-γ and IL-17. Among post-recovery patients, T cells, particularly CD4+ T cells, were positively correlated with CD19+ B cell counts. Additionally, CD8+ T cells positively correlated with CD4+ T cells and IL-2 levels, and IL-6 positively correlated with TNF-α and IFN-γ. These correlations were not observed in healthy controls. By ROC curve analysis, post-recovery decreases in lymphocyte subsets and increases in cytokines were identified as independent predictors of rehabilitation efficacy. These findings indicate that the immune system has gradually recovered following COVID-19 infection; however, the sustained hyper-inflammatory response for more than 14 days suggests a need to continue medical observation following discharge from the hospital. Longitudinal studies of a larger cohort of recovered patients are needed to fully understand the consequences of the infection.


2017 ◽  
Vol 24 (5) ◽  
pp. 632-641 ◽  
Author(s):  
Vinzenz Fleischer ◽  
Michaela Friedrich ◽  
Ayman Rezk ◽  
Ulrike Bühler ◽  
Esther Witsch ◽  
...  

Background: The effect of dimethyl fumarate (DMF) on circulating lymphocyte subsets and their contribution as predictors of clinical efficacy have not yet been investigated in multiple sclerosis (MS). Objective: To evaluate lymphocytes and lymphocyte subsets (analyzed 6 months after DMF start) in MS patients with and without disease activity after 1 year of treatment in a retrospective study. Methods: Peripheral blood lymphocyte subsets were analyzed by flow cytometry. Untreated MS patients ( n = 40) were compared to those 6 months after onset of DMF treatment ( n = 51). Clinical and magnetic resonance imaging (MRI) disease activity of DMF-treated patients were assessed in the first year under treatment. Results: Stable patients showed significantly lower lymphocytes, CD4+ and CD8+ T cells as well as CD19+ B cells compared to active patients under DMF treatment. Furthermore, an increased CD4/CD8 ratio ( p < 0.025) in stable patients indicated a disproportionate reduction of CD8+ T cells relative to CD4+ T cells. Reduced lymphocytes, CD8+ T cells, and CD19+ B cells 6 months after DMF start allowed prediction of the treatment response in the first year. Conclusion: DMF treatment response is reflected by lower circulating lymphocytes and specific lymphocyte subsets. Changes in the cellular immune profiles under DMF treatment are clinically relevant and might serve as a surrogate marker of treatment response.


2016 ◽  
Vol 23 (7) ◽  
pp. 576-585 ◽  
Author(s):  
Eunice W. Nduati ◽  
Irene N. Nkumama ◽  
Faith K. Gambo ◽  
Daniel M. Muema ◽  
Miguel G. Knight ◽  
...  

Improved HIV care has led to an increase in the number of HIV-exposed uninfected (HEU) infants born to HIV-infected women. Although they are uninfected, these infants experience increased morbidity and mortality. One explanation may be that their developing immune system is altered by HIV exposure, predisposing them to increased postnatal infections. We explored the impact of HIV exposure on the B-cell compartment by determining the B-cell subset distribution, the frequency of common vaccine antigen-specific memory B cells (MBCs), and the levels of antibodies to the respective antigens in HEU and HIV-unexposed uninfected (HUU) infants born to uninfected mothers, using flow cytometry, a B-cell enzyme-linked immunosorbent spot assay, and an enzyme-linked immunosorbent assay, respectively, during the first 2 years of life. For the majority of the B-cell subsets, there were no differences between HEU and HUU infants. However, HIV exposure was associated with a lower proportion of B cells in general and MBCs in particular, largely due to a lower proportion of unswitched memory B cells. This reduction was maintained even after correcting for age. These phenotypic differences in the MBC compartment did not affect the ability of HEU infants to generate recall responses to previously encountered antigens or reduce the antigen-specific antibody levels at 18 months of life. Although HIV exposure was associated with a transient reduction in the proportion of MBCs, we found that the ability of HEU infants to mount robust MBC and serological responses was unaffected.


Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 1955-1955
Author(s):  
Christelle Retiere ◽  
Catherine Willem ◽  
Thierry Guillaume ◽  
Henri Vié ◽  
Laetitia Gautrot-Rolland ◽  
...  

Abstract Introduction: The influence of PTCY on early immune reconstitution after allo-SCT has been poorly studied so far, especially in comparison to standard use of ATG as GVHD prophylaxis. Patients and Methods: A prospective study was conducted at the CHU of Nantes with the aim to compare early immune recovery between patients receiving PTCY or ATG as GVHD prophylaxis after a RIC allo-SCT. Secondary objectives were to study the impact of 1 vs 2 days of PTCY (CY1 vs CY2) or ATG (A1 vs A2), and of fludarabine (Flu) vs clofarabine (Clo) as part of the RIC regimen. As such, 3 RIC regimens were considered in both groups: FluCY2 (Baltimore regimen, Luznic, BBMT 2008), FluCY1, CloCY2 (where Clo replaces Flu), on one hand, and FluB2A2, CloB2A2, CloB2A1 (Chevallier, Haematologica, 2014), on the other hand. FluCY2 and FluB2A2 are currently standard of care RIC regimens for patients with haplo-identical and matched donors, respectively. Five patients had to be included in each RIC subgroup, depending on the type of disease and donor (/): FB2A2 (lymphoid/matched); FluCY2 (lymphoid/haplo); CloB2A2 or CloB2A1 (myeloid/matched); CloCY2 (myeloid/haplo), FluCY1 (myeloid or lymphoid/matched). The source of graft was peripheral blood stem cells for all cases. Blood samples were collected before starting the conditioning regimen then 3 times per week from day +0 until day+30, and at days +60 and +90. The following cell subsets were studied: a/b and g/d CD3+, CD8+ and regulatory (Tregs) T cells, B and NK cells and monocytes. The median percentage (%) compared to total lymphocytes was considered for all lymphocytes subsets between days 0-30. Thereafter, median absolute numbers (AN)/mm3 were considered for samples collected at days +30, +60 and +90. The study was approved by the IRB of the CHU of Nantes and all patients provided informed consent. Results: Between August 2014 and May 2015, thirty patients were included, including 15 in both groups and 5 in each RIC subgroups. Median age was 61 years. There were more patients with active disease at transplant (47% vs 7%) and more haplo-identical donors (67% vs 0%) in the PTCY group. All patients engrafted and were alive at day +90. However, 1 PTCY patient with T-ALL relapsed before day+100. Within the first month post-transplant, PTCY group had a significantly higher median % of a/b T cells (69.1 vs 18.9, p<0.0001) and Tregs (3.46 vs 0.45, p<0.0001) while ATG group had higher median % of NK (23 vs 2.57, p<0.0001) and B-cells (0.88 vs 0.43, p=0.0002). Between day+30 and day+90, ATG group had significant higher median counts of a/b T cells at days +60 (1316 vs 79.6, p=0.0001) and +90 (795.8 vs 151.6, p=0.03); g/d T cells at day+60 (27.6 vs 1.26, p=0.002); CD8 T cells at day+60 (735 vs 29.6, p=0.008); NK cells at day+30 (203.7 vs 89, p=0.04) and monocytes at days +30 (455.5 vs 221.7, p=0.009) and +60 (832.5 vs 247.2, p=0.004). Compared to the standard FluCY2 regimen, although not significant, FluCY1 was associated with higher median %, between days 0-30 of g/d T cells (2.32 vs 0.8) and higher median AN of g/d T cells at days +30 (9.2 vs 1.02) and +60 (9.22 vs 1.05), of B cells at days +30 (0.4 vs 0.14) and +60 (1.6 vs 0.39) and of NK cells at day+30 (213.9 vs 82.7). Compared to the standard FB2A2 regimen, although not always significant, CloB2A1 was associated with higher median % between days 0-30 of Tregs (0.97 vs 0.25, p=0.002) and higher median AN of g/d T cells at day+30 (6.8 vs 2), B cells at days +30 (2.35 vs 0) and +60 (43.7 vs 0.19), NK cells at day +30 (288 vs 62.1) and Tregs at days +30 (4.3 vs 0.2), +60 (8.8 vs 1.14) and +90 (8.96 vs 3.45). Compared to the standard FB2A2 regimen, although not always significant, CloB2A2 was associated with higher median % between days 0-30 of a/b T cells (28.87 vs 3.78, p=0.01) and B cells (0.76 vs 0.5, p=0.02) and higher median AN of a/b T cells at days +30 (324.3 vs 125.8) and +90 (1594 vs 604.3), of g/d T cells at day +30 (7.35 vs 2), of CD8 + T cells at days +30 (209.7 vs 38.9) and +90 (1211.7 vs 504.6), of B cells at day +30 ( 1.41 vs 0), of NK cells at days +30 (303 vs 62.1), +60 (514.5 vs 225.7) and +90 (647 vs 102.8, p=0.03) and of monocytes at days +30 (688.9 vs 257.4, p=0.03) and +90 (2157.4 vs 611.2). Conclusion: Strong differences exist in term of early immune recovery when using PTCY or ATG as part of the GHVD prophylaxis for RIC allo-SCT. Dose or drug modifications within the standard RIC regimen in both groups may be envisaged to favor some cell population recoveries after allo-SCT in order to increase outcome in patients. Disclosures No relevant conflicts of interest to declare.


Author(s):  
Xiaoping Chen ◽  
Jiaxin Ling ◽  
Pingzheng Mo ◽  
Yongxi Zhang ◽  
Qunqun Jiang ◽  
...  

SummaryBackgroundViral clearance is one important indicator for the recovery of SARS-CoV-2 infected patients. Previous studies have pointed out that suboptimal T and B cell responses can delay viral clearance in MERS-CoV and SARS-CoV infected patients. The role of leukomonocytes in viral clearance of COVID-19 patients is not yet well defined.MethodsFrom January 26 to February 28, 2020, an observational study was launched at the Department of Infectious Diseases, Zhongnan Hospital of Wuhan University, Wuhan, China. We enrolled 25 laboratory-confirmed COVID-19 patients, whose throat-swab specimens were tested positive for SARS-CoV-2 infection by qRT-PCR. To investigate the factors that contribute to the viral clearance, we comprehensively analyzed clinical records, counts of lymphocyte subsets including CD3+, CD4+, CD8+ T cells, B cells and NK cells in the patients who successfully cleared SARS-CoV-2, and compared to those that failed to, after a standardized treatment of 8-14 days.FindingsIn 25 enrolled COVID-19 patients, lymphopenia was a common feature. After the treatment, 14 out of the 25 enrolled patients were tested negative for SARS-CoV-2. The patients that cleared the infection had restored the numbers of CD3+, CD4+, CD8+ T cells and B cells as compared to the still viral RNA positive patients, while the recovered patients had a higher count of leukomonocytes.ConclusionsBy comparison of leukomonocytes counts in COVID-19 patients at different stages of the disease, we found that CD3+, CD4+, CD8+ T cells and B cells appear to play important roles in viral clearance. The restoration of leukomonocytes counts from peripheral blood can be used as prognosis for the recovery of an COVID-19 infection. We propose that restoration of leukomonocytes counts can be added to the COVID-19 diagnostic guidance as a criterion for releasing and discharging patients.


2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Hasichaolu ◽  
Xinri Zhang ◽  
Xin Li ◽  
Xin Li ◽  
Dongyan Li

To investigate the immune status of people who previously had COVID-19 infections, we recruited two-week postrecovery patients and analyzed circulating cytokine and lymphocyte subsets. We measured levels of total lymphocytes, CD3+ T cells, CD4+ T cells, CD8+ T cells, CD19+ B cells, and CD56+ NK cells and the serum concentrations of interleukin- (IL-) 1, IL-4, IL-6, IL-8, IL-10, transforming growth factor beta (TGF-β), tumor necrosis factor alpha (TNF-α), and interferon gamma (IFN-γ) by flow cytometry. We found that in most postrecovery patients, levels of total lymphocytes (66.67%), CD3+ T cells (54.55%), CD4+ T cells (54.55%), CD8+ T cells (81.82%), CD19+ B cells (69.70%), and CD56+ NK cells (51.52%) remained lower than normal, whereas most patients showed normal levels of IL-2 (100%), IL-4 (80.88%), IL-6 (79.41%), IL-10 (98.53%), TNF-α (89.71%), IFN-γ (100%), and IL-17 (97.06%). Compared to healthy controls, two-week postrecovery patients had significantly lower absolute numbers of total lymphocytes, CD3+ T cells, CD4+ T cells, CD8+ T cells, CD19+ B cells, and CD56+ NK cells, along with significantly higher levels of IL-2, IL-4, IL-6, IL-10, TNF-α, IFN-γ, and IL-17. Among postrecovery patients, T cells, particularly CD4+ T cells, were positively correlated with CD19+ B cell counts. Additionally, CD8+ T cells were positively correlated with CD4+ T cells and IL-2 levels, and IL-6 positively correlated with TNF-α and IFN-γ. These correlations were not observed in healthy controls. By ROC curve analysis, postrecovery decreases in lymphocyte subsets and increases in cytokines were identified as independent predictors of rehabilitation efficacy. These findings indicate that the immune system gradually recovers following COVID-19 infection; however, the sustained hyperinflammatory response for more than 14 days suggests a need to continue medical observation following discharge from the hospital. Longitudinal studies of a larger cohort of recovered patients are needed to fully understand the consequences of the infection.


Blood ◽  
2006 ◽  
Vol 108 (11) ◽  
pp. 3656-3656
Author(s):  
Gullu Gorgun ◽  
Fenglong Liu ◽  
Eleanor Howe ◽  
Patrick Philpot ◽  
Eva Guinan ◽  
...  

Abstract Retention of antigen (Ag) specific immunity to pathogens and tumor cells in the context of adequate control of alloreactivity remains a challenge for allogeneic hematopoietic stem cell transplantation (HSCT). Global or subset depletion of T cells achieves control of alloreactivity at the cost of loss of non-allospecific repertoire. Induction of Ag specific anergy has been explored as a way to selectively impact alloreactivity. Anergy is induced when Ag is presented to CD4 T cells without CD28:B7 mediated costimulation. We and others have shown that CD4 anergy results from a positive signaling cascade, rendering Ag specific T cells unable to proliferate and produce cytokines on Ag specific rechallenge. When this concept was translated to a haploidentical HSCT clinical trial, all donor marrow harvest mononuclear cells were subjected to inhibition of CD28 mediated costimulation by CTLA-4-Ig, a fusion protein binding both B7.1 and B7.2 costimulatory molecules. In our ongoing clinical trial, unfractionated donor peripheral blood mononuclear cells (PBMC) are cultured with allostimulators in the presence of costimulatory blockade (CSB) provided by anti-B7.1 and anti-B7.2 humanized monoclonal antibodies. To understand the impact of inducing alloAg specific CD4 T cell anergy on bystander PBMC, we investigated the effects on CD8 T cells, monocytes, B and NK cells. Mimicking our ex vivo clinical anergization protocol, primary MLR using PBMC from fully HLA mismatched healthy donors (n=12) were performed in the presence or absence of CSB. CSB resulted in 73% mean inhibition of proliferation after 72 hrs of primary MLR. CD4 and CD8 T cells, monocytes, NK and B cells from these MLRs were isolated by negative selection as were control unmanipulated CD4 and CD8 T cells. From each population, RNA was extracted and global gene expression profiling performed using Affymetrix human 133plus2 chips. Unsupervised analysis was performed using DNA-Chip Analyzer and supervised analysis using Significance Analysis for Microarrays. While the frequency of alloreactive CD4 T cells in human PBMC is only 1–10%, we observed global gene expression variance (436 genes) between unstimulated CD4 cells vs. CD4 cells isolated from MLR in the presence or absence of CSB (P≤0.05). Even more surprising was the impact of CSB on bystander CD8, monocytes, NK and B cells. Between cells from MLR with or without CSB, there were 632 differentially expressed genes in CD8 T cells, 105 differentially expressed in NK cells, 85 differentially expressed in monocytes and 1781 in B cells (P≤0.05 for all populations tested). We observed not only expected alterations (e.g, in inflammatory cytokines and receptor mediated signaling) but also observed changes [e.g. in proteasome degradation (i.e. CD4, CD8, NK and B cells) and in expression of genes regulating cell motility (i.e. CD8 T and NK cells)]. These results demonstrate that induction of alloAg specific anergy within a small population of alloreactive CD4 T cells results in dramatic alterations of the genetic repertoire of bystander cells. Thus, blockade of the CD28:B7 costimulatory pathway not only inactivates alloreactive CD4 T cells but also alters the functional program of other immune cells that will repopulate the host post-HSCT.


2018 ◽  
Vol 32 ◽  
pp. 205873841879231 ◽  
Author(s):  
Antonella Frattari ◽  
Ennio Polilli ◽  
Vanessa Primiterra ◽  
Vincenzo Savini ◽  
Tamara Ursini ◽  
...  

A better knowledge of factors predicting the development of sepsis in patients hospitalized in intensive care unit (ICU) might help deploy more targeted preventive and therapeutic strategies. In addition to the known clinical and demographic predictors of septic syndromes, in this study, we investigated whether measuring T and B lymphocyte subsets upon admission in the ICU may help individualize the prediction of ensuing sepsis during ICU stay. Between May 2015 and December 2016, we performed a prospective cohort study evaluating peripheral blood lymphocyte T-CD4+ (T-helper cells), T-CD8+ (cytotoxic T-cells), T-CD56 + (natural killer cells), and T-CD19+ (B-lymphocytes), using flow cytometry on blood samples collected 2 days after admission in the ICU. We enrolled 176 patients, 65.3% males, with mean age of 61.1 ± 15.4 years. At univariate analyses, higher percentages of CD19 B-cells were significantly associated with ensuing sepsis (20.5% (15.7–27.7)% vs 16.9% (11.3–22)%, P = 0.0001), whereas median interquartile range (IQR) proportions of CD4 T-cells (41.2% (33.4–50.6)% vs 40% (35–47)%, P = 0.5), CD8 T-cells (21.1% (15.8–28.2)% vs 19.6% (14.6–25.1)%, P = 0.2) and CD56 T-cells (1.7% (0.9–3.1)% vs 1.45% (0.7–2.3)%, P = 0.4) did not reveal any significant association. An unexpected, highly significant inverse correlation of CD8 T-cells and CD19 B-cells proportions, however, was observed, suggesting that patients with lower CD19 and higher CD8 proportions might be somehow protected from ensuing sepsis. We therefore studied the ability of the CD8/CD19 ratio to predict ensuing sepsis in our sample. In final models of multivariate logistic regression, the following independent associations were found: previous antibiotic exposure (odds ratio (OR): 3.8 (95% confidence interval (CI): 1.35–10.87), P = 0.01), isolation of at least one multi-drug resistant organism at any time during ICU stay (OR: 8.4 (95% CI: 3.47–20.6), P < 0.0001), decreasing age (OR: 0.9 (95% CI: 0.93–0.99), P = 0.02) and a CD8/CD19 ratio >2.2 (OR: 10.3 (95% CI: 1.91–55.36), P = 0.007). Our data provide preliminary evidence that immune characterization of critically ill patients on ICU admission may help personalize the prediction of ensuing sepsis during their ICU stay. Further polycentric evaluation of the true potential of this new tool is warranted.


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