| Literature DB >> 30563486 |
Kari Otterdal1, Aase Berg2,3, Annika E Michelsen4,5, Sam Patel3, Marit G Tellevik6, Christel G Haanshuus6, Børre Fevang4,7,8, Pål Aukrust4,5,7,8, Nina Langeland9,10,11, Thor Ueland4,5,8,12.
Abstract
BACKGROUND: The immune response during P. falciparum infection is a two-edged sword, involving dysregulation of the inflammatory responses with several types of immune cells participating. Here we examined T-cell, monocyte/macrophage and neutrophil activation during P. falciparum infection by using soluble activation markers for these leukocyte subsets.Entities:
Keywords: HIV; MPO; Macrophage; Malaria; Monocyte; Neutrophil; P. falciparum; Parasitemia; T-cell; sCD25
Mesh:
Substances:
Year: 2018 PMID: 30563486 PMCID: PMC6299500 DOI: 10.1186/s12879-018-3593-8
Source DB: PubMed Journal: BMC Infect Dis ISSN: 1471-2334 Impact factor: 3.090
Clinical characteristicsa) of the patient populationb)
| N | HIV only | Malaria only | Malaria & HIV |
|---|---|---|---|
| 58 | 61 | 70 | |
| Age, years | 39 (22–84) | 40 (18–79) | 40 (20–65) |
| Sex, females | 50 (29/58) | 41 (25/61) | 50 (35/70) |
| Hemoglobin (g/dL) | 8.9 (2.9–15.2) | 11.2 (3.2–17.0) | 9.4 (2.5–15.7) |
| Leukocytes (× 109/L) | 8.2 (0.3–25.4) | 6.9 (1.3–15.5) | 7.8 (0.9–21.8) |
| Platelets (×109/L) | 220 (13–682) | 124 (11–452) | 90 (8–330) |
| Se-Creatinine (μmol/L) | 161 (41–873) | 127 (57–357) | 223 (62–1529) |
| Se-Glucosis (mmol/L) | 6.1 (3.3–10.6) | 8.7 (3.6–40.5) | 6.12 (1.5–27.0) |
| Liverfailurec) | 5 (4/57) | 5 (3/61) | 19 (13/70) |
| Coagulation disturb.d) | 0 | 2 (1/61) | 13 (9/70) |
| Cerebral disturb. e) | 33 (19/58) | 25 (15/61) | 31 (22/70) |
| Systolic blood pressure | 115 (90–160) | 122 (70–240) | 115 (80–170) |
| Respiratory rate | 29 (12–56) | 22 (12–68) | 24 (16–42) |
| Case fatality rate | 27.8 (15/54) | 1.7 (1/59) | 13.0f) (9/69) |
a) Values in mean (min-max) or percentage and proportion
b) The 52 healthy controls are not included
c) Defined as jaundice/ bilirubine> 43 μmol/L
d) Defined as bleeding disturbances/ hemolysis
e) Defined as GCS ≤ 11, convulsions or confusion
f) One patient died of non-malarial cause, he is excluded
Fig. 1Levels of soluble leukocyte activation markers in patients. Plasma/serum levels of MPO (a), sCD25 (b), sCD14 (c) and sCD163 (d) in patients with HIV infection without malaria (n = 58), patients with falciparum malaria without (n = 61) and with HIV infection (n = 70). Data are given as median and 25-75th percentiles. **p < 0.01 and ***p < 0.001 versus HIV without malaria. †p < 0.05 versus falciparum malaria without HIV. The horizontal grey shaded area represent levels 25-75th percentiles in age- and sex-matched healthy controls (n = 52). In all three groups of patients, all parameters were significantly raised compared with levels in controls (p < 0.001 for all comparisons)
Fig. 2Levels of soluble leukocyte activation markers at admission and follow-up. Plasma/serum levels of MPO (a), sCD25 (b), sCD14 (c) and sCD163 (d) in patients with HIV infection without malaria (n = 49), patients with falciparum malaria without (n = 6) and with HIV infection (n = 22) at admission (before) and 48 h thereafter (after). Data are given as median and 25-75th percentiles. **p < 0.01 and ***p < 0.001 versus levels at admission. The horizontal grey shaded area represent levels 25-75th percentiles in age- and sex-matched healthy controls (n = 52). In all three groups of patients, all parameters were significantly raised compared with levels in controls both at admission and during follow-up (p < 0.001 for all comparisons)
Correlation between disease severity and leukocyte activation markers in patients with (n = 70) and without (n = 61) HIV
| Malaria | Malaria + HIV | |
|---|---|---|
| sCD14 | 0.33a | 0.08 |
| sCD25 | 0.23 | 0.27a
|
| MPO | 0.13 | 0.21 |
| sCD163 | 0.05 | 0.17 |
aCorrelation is significant at the 0.05 level (2-tailed)
Fig. 3Correlations between soluble leukocyte activation markers and degree of parasitemia. Correlations between MPO (a), sCD25 (b), sCD14 (c) and sCD163 (d) and the degree of parasitemia could be assessed by quantitative P. falciparum PCR in 93 of the malaria patients (39 patients had levels below the detection limit of the assay). The figure present data from these 93 patients (49 with and 44 without co-infection with HIV)
Fig. 4Markers of T-cell subsets activation and T-cell exhaustion during falciparum malaria. Plasma levels of TIM-3 (a), granzyme B (GrB) (b) and fractalkine (CX3CL1) (c) in patients with HIV infection without malaria (n = 58), patients with falciparum malaria without (n = 61) and with (n = 70) HIV infection. Data are given as median and 25-75th percentiles. **p < 0.01 and ***p < 0.001 versus HIV without malaria. ††p < 0.01 versus falciparum malaria without HIV. The horizontal grey shaded area represent levels 25-75th percentiles in age- and sex-matched healthy controls (n = 52). For the malaria with and without HIV infection, all markers were raised compared with levels in controls (p < 0.001). For the HIV group without malaria, TIM-3 but not GrB or CX3CL1, was raised compared to controls (p < 0.001)