ORIGINAL  
Niger J Paed 2015; 42 (2): 142 –146  
Okocha EC  
Ibeh NC  
Ukaejiofor EO  
Ebenebe JC  
Aneke JC  
Serum Levels of Pro-inflammatory  
Cytokines in relationship to  
outcomes in Children with P.  
falciparum malaria, in Nnewi-South  
east Nigeria  
Okonkwo KU  
Onah C  
DOI:http://dx.doi.org/10.4314/njp.v42i2.14  
Accepted: 12th February 2015  
Abstract: Background and Objec-  
tive: In P. falciparum malaria (PFM)  
infestation there are marked changes  
in cytokine production as the body  
mounts an immune response to it.  
Hence we set out to study these  
changes.  
factor alpha (TNF-α) were seen in the  
uncomplicated and severe forms of  
PFM. It was observed that the elevated  
cytokine values correlated with PD (in  
uncomplicated PFM but not in the  
severe forms). The difference between  
PD/absolute monocyte count (AMC)  
ratio was not significant (p=0.13);  
while PD/platelet count (PC) and PC/  
AMC ratios were significant (p=0.01,  
and 0.03 respectively) when compared  
between uncomplicated and severe  
disease.  
Conclusion: Our data seems to suggest  
that subjects with an adequate immune  
response to the parasite density, in  
terms of pro-inflammatory cytokine  
levels, presented with uncomplicated  
disease; while those who have an in-  
adequate response presented with se-  
vere disease. The ratios of (PD/PC)  
and (PC/AMC), in the positive and  
negative directions respectively, may  
be predictors of increased disease se-  
verity. These observations may have  
implications for predicting disease  
outcome and PFM therapy.  
(
)
Okocha EC  
Aneke JC, Okonkwo KU  
Department of Haematology,  
Ibeh NC  
Department of Medical Laboratory  
Science,  
Methods: A total of 158 cases of  
PFM among children attending the  
paediatric unit of our hospital and 56  
healthy controls were studied. Chil-  
dren with febrile illness were  
screened for malaria using 10%  
Giemsa stained blood smear. Patients  
with positive smears were recruited;  
co-infected patients – those infected  
by another organism in addition to  
plasmodium specie.- were excluded.  
Whole blood was collected, some into  
plain tubes for serum cytokine testing  
and some into EDTA bottles for com-  
plete blood count and parasite density  
(PD) determination. Controls with  
asymptomatic parasitaemia were ex-  
cluded.  
Ebenebe JC  
Department of Paediatrics,  
Onah C  
Department of Chemical Pathology,  
Nnamdi Azikiwe University Teaching  
Hospital, PMB 5025,  
Nnewi, Anambra State, Nigeria.  
Email: onyichideokocha@yahoo.com  
Ukaejiofor EO  
Department of Medical Laboratory  
Science, University of Nigeria, Enugu  
Campus, Enugu State, Nigeria.  
Results: Using the World Health  
Organization criteria for defining  
severe malaria; we identified 15 cases  
of severe and 143 cases of uncompli-  
cated PFM. Significantly elevated  
levels of interleukin-1 (IL-1), inter-  
leukin 6 (IL-6) and tumour necrosis  
Key Words: plasmodium falciparum  
malaria, pro-inflammatory cytokines,  
Parasite density/Platelet count ratio,  
Platelet count/Absolute monocyte  
Introduction  
IL1, IL-2, IL-12, and TNF-α has been confirmed in in-  
fected individuals . Parasite factors such as the density  
3
TNF-α has been implicated in the pathogenesis of ma-  
laria fever and appears to play a central role; comple-  
mented by the effects of other cytokines such as IL-1  
and their ability to infect a high percentage of erythro-  
cyte can correlate positively to the synthesis of inflam-  
matory cytokines, and consequently contribute to the  
1
,2  
6
and IL-6 . Following infection by P.falciparum, the pro  
severity of the disease . Other lines of evidence, how-  
-
(
immune response . These mediators elicit anti-parasitic  
activities resulting in inhibition of parasiteamia and  
stimulation of phagocytosis to enhance parasite clear-  
inflammatory cytokines such as TNF-α and interferon  
ever seem to suggest that parasite density do not corre-  
7
,8  
IFN)-γ are produced during the early stages of the host  
late with clinical symptoms and by extension severity .  
Thus this present study involving aged matched Nige-  
rian children with severe and uncomplicated malaria,  
sought to examine cytokine production and to determine  
whether differences in serum cytokine levels correlated  
with varied disease severity; and if these varied manifes-  
tation can be predicted by simple laboratory parameters  
such as parasite density, platelet count and absolute  
monocyte count  
3
4
ance . At the later stages of infection, anti-inflammatory  
cytokines such as IL-10 are produced and down regu-  
lates the potentially pathogenic inflammatory resp5onses  
that are important for controlling parasiteamia. The  
presence of increased type-1 cytokines, including IFN-γ,  
1
43  
Subjects, materials and methods  
Study site and subject enrollment  
manufactured by Sysmex Corporation 1-5 Wakinohama-  
Kigandori, Chuo-ku, Kobe 651-0073, Japan. The 3ml  
blood sample collected into the plain tubes was left to  
0
Serum and sequestrated whole blood were obtained  
from 210 Nigerian children (3 months to 144 months)  
attending children outpatient clinic (CHOP), children  
emergency room (CHER) and hospitalized patients of  
our hospital in Nnewi, (population,4,177,828 - National  
stand in a vertical position for 1hour at 25 C and al-  
lowed to clot. This was then centrifuged at 1000 x g for  
10 minutes. The separated serum was dispensed in four  
0
aliquots and stored frozen at –70 C until cytokine testing  
was performed in less than 3months of collection.  
9
Bureau of Statistics, ) Anambra State, South- East Nige-  
ria, between March and December, 2011. Nnewi has an  
intense seasonal transmission -March to December of  
Plasmodium falciparum malaria (PFM). Cases were  
classified base0d on criteria described by World Health  
Measurement of circulating cytokines  
The levels of TNF-α, IL-I, and IL-6 in the serum were  
determined using Enzyme linked inmmunosorbent as-  
say, (ELISA) Kit procured from Abcam, Cambridge,  
United Kingdom, according to manufacturer’s recom-  
mendations. The choice of this method was informed by  
its high sensitivity and the fact that micro (100µl) quan-  
tities of samples are required. The test kits are sensitive  
enough to detect cytokines levels less than 0.8pg/ml and  
cross reactivity has not been observed for any other pro-  
teins tested. All quality controls measures as prescribed  
by the manufacturer were observed.  
1
Organization thus: 143 subjects had uncomplicated  
malaria, 15 had complicated malaria and 52 subjects  
without malaria served as the control group.  
At enrollment, relevant clinical features including vital  
signs were assessed and documented by the attending  
paediatrican. Clinical information obtained was entered  
into standardized forms. For the patients who were feb-  
0
rile axillary temperature above 37.4 C) a drop of blood  
through finger prick was obtained to make peripheral  
blood smears for microscopy both thick and thin- for  
diagnosis and speciation respectively. The smear was  
stained with 10% Giemsia stain for 10 minutes and ex-  
amined under the microscope immediately (using x100  
objective). The number of parasites per 200 white blood  
cells and the number of parasites per microliter of blood  
cells determined (parasite density), the presence of ma-  
laria pigment (haemozoins) were checked for. A blood  
slide was considered negative after scanning through  
Statistical analysis  
Statistical analysis was performed with SPSS version  
10; (SPS Inc., Chicago IL). Descriptive statistics were  
expressed as means and standard deviations while the  
student’s t- test and Chi square analysis were used for  
testing differences in cytokines levels between clinical  
groups. Comparison of intra group differences was done  
using a post-hoc Bonferoni multiple comparative analy-  
sis while associations were tested using the Pearson’s  
linear regression for bivariate correlation. The level of  
statistical difference was set at p <0.05.  
1
00 fields and no malaria parasite was encountered. Dif-  
ferential WBC and morphological examination of cells  
were done. The result was communicated immediately  
to the attending doctor for management of the patient.  
The patients that have positive smears were recruited as  
subjects.  
Results  
Controls were recruited from healthy afebrile clients  
attending the infant welfare clinic (Immunization Clinic)  
of the hospital and from apparently healthy clients who  
came in for routine checkup and medical examination.  
The control subjects were of the same age brackets as  
the patients (3 months to 144 months). Smears were also  
made as in the study group and examined for possible  
presence of asymptomatic parasiteamia; those with  
negative smears for P. falciparum were enrolled as con-  
trols.  
A total number of five hundred and fifty-three (553)  
febrile children presenting at peadiatrics unit of our hos-  
pital were screened for possible presence of malaria  
parasiteamia according to the study protocol between the  
months of March and December 2011. One hundred and  
fifty-eight (158) patients tested positive for P. falcipa-  
rum by microscopic examination of Giemsa stained  
blood slide, giving a prevalence of 35% (158/553). Five  
(5) patients had mixed infection of P. falciparum and P.  
malariae species (5/553) placing a prevalence of 3% for  
P. malariae species. No other species were seen. Using  
Study protocols were reviewed and approved by  
Nnamdi Azikiwe University Teaching Hospital Ethics  
Committee. Subjects and controls were recruited follow-  
ing due ethical consent from their parents/guardians.  
Further laboratory procedures  
8
the criteria for severe malaria, (anemia with Hb level  
5g/dL, acute respiratory distress, renal failure, prostra-  
tion, shock, abnormal bleeding and/or disseminated in-  
travascular coagulation, (parasitaemia >2,000/µl of  
blood, repeated generalized seizures. 15 cases were  
identified as severe malaria – 5 with anemia (as de-  
scribed above), 2 with acute respiratory distress, 3 with  
generalized seizures and 5 with high parasitaemia (as  
described above). The mean duration of symptom before  
presentation was 3 days in this category and 2.2 days in  
the uncomplicated group. The mean ages for the various  
For all recruited subjects who have met the clinical and  
parasitological criteria, and also for the control subjects,  
5
ml of venous blood sample was withdrawn; 2ml into  
tubes containing EDTA and 3ml into sterile plain tubes.  
The sequestrated blood sample was used for full blood  
count determination which was carried out using Sys-  
mex KX-21N automated haematology analyzer machine  
1
44  
groups – control, uncomplicated and complicated ma-  
laria – were 29.5 ± 39.28, 33.9 ± 34.37 and 40.9 ±  
and complicated malaria groups respectively; but did  
not indicate any significant differences when percent-  
ages of neutrophil values were compared between  
groups.  
Table 2 shows a statistically significant relationship in  
the means of serum pro-inflammatory cytokines in con-  
trol, uncomplicated and complicated malaria groups of  
subjects.  
2
5.77; the difference between them were not statistically  
significant (p= 0.51). Table 1 shows the hematological  
parameters of the subjects studied according to their  
categories. A post-hoc multiple comparative analyses  
revealed that the control group had significantly (P<0.01  
or ) lower WBC but higher haemoglobin concentration  
(
Hb) and haematocrit compared to the uncomplicated  
Table 1: Haematological parameters of children with complicated and uncomplicated malaria compared  
with healthy control group.  
Variables  
Control Group  
(N = 52)  
Uncomplicated  
Malaria Group  
Complicated  
Malaria Group  
(N = 15)  
F-Stat  
P
Value  
(N = 143)  
Age (months)  
WBC (x109 /L)  
RBC (x1012 /L)  
Haemoglobin(g/dl)  
Haematocrit (l/l)  
Platelet (x109 /L)  
PCT (%)  
MCV (fl)  
MCH (pg)  
MCHC (g/l)  
RDW  
MPV  
29.5 ± 39.28  
4.8 ± 1.29  
4.8 ± 0.52  
33.9 ± 34.37  
9.2 ± 5.02  
4.8 ± 4.20  
40.9 ± 25.77  
13.2 ± 12.22  
3.0 ± 1.12  
0.67  
20.03  
1.78  
51.71  
59.52  
9.92  
27.13  
17.43  
0.85  
0.51  
0.000*  
0.17  
0.000*  
0.000*  
0.000*  
0.000*  
0.000*  
0.43  
11.8 ± 1.23  
35.4 ± 3.65  
267.9±84.55  
21.0 ± 10.07  
74.1 ± 4.80  
24.6 ± 1.71  
33.1 ± 1.53  
16.6 ± 5.99  
8.5 ± 0.79  
10.4 ± 1.92  
32.6 ± 5.36  
278.4 ± 142.9  
14.3 ± 14.54  
72.5 ± 10.03  
24.6 ± 16.34  
32.2 ± 5.10  
31.7 ± 23.67  
9.3 ± 1.23  
12.3 ± 3.75  
42.9 ± 16.51  
11.2 ± 4.69  
45.7 ± 19.80  
4096.4±169.54  
5.9 ± 3.63  
18.2 ± 9.58  
125.7±54.01  
3.6 ± 5.17  
58.2 ± 14.53  
19.8 ± 5.99  
33.6 ± 2.75  
19.8 ± 5.99  
8.3 ± 0.94  
11.2 ± 2.40  
48.1 ± 15.29  
7.1 ± 5.06  
36.8 ± 22.69  
55008.2±941.12 -14.42  
1.38  
0.25  
11.87  
10.48  
1.89  
7.91  
8.57  
0.000*  
0.000*  
0.15  
0.000*  
0.000*  
0.029*  
0.000*  
PDW  
11.3 ± 1.79  
54.9 ± 24.61  
9.0 ± 3.10  
%
%
%
Lymphocytes  
Monocytes  
Neutrophils  
38.9 ± 10.72  
3.59  
Parasite density (cells/ul)  
Data is expressed as mean ± standard deviation. * Significant difference (P<0.05 or P<0.001). Abbreviations: WBC = White blood cell;  
RBC = Red blood cell; PCT = Plateletcrit; MCV = Mean cell volume; MCH = Mean corpuscular haemoglobin; MCHC = Mean corpus-  
cular haemoglobin concentration; RDW = Red cell distribution width; MPV = Mean platelet volume; PDW = Platelet distribution  
width.  
Table 2: Mean serum levels of the pro-inflammatory cytokines  
in control, uncomplicated malaria and complicated malaria  
groups of subjects.  
data and the uncomplicated malaria group as shown in  
Table 4. In the complicated malaria group, no significant  
correlations were observed between parasite density and  
all the cytokines (P>0.05). The difference between PD/  
absolute monocyte count (AMC) ratio, was not signifi-  
cant (p=0.13); while PD/platelet count (PC) and PC/  
AMC ratios were significant (p=0.01, and 0.03 respec-  
tively) when compared between uncomplicated and se-  
vere disease.  
Vari-  
ables  
Pg/Ml)  
Control  
group  
(N = 52)  
Uncomplicated  
malaria group  
(N = 143)  
Complicated  
malaria group  
(N =15)  
P
Value  
(
IL-1  
IL-6  
TNF-α  
45.6±37.04  
48.0±35.27  
48.9±58.98  
177.9 ± 316.31  
492.3 ± 596.84  
132.2 ± 229.42  
315.8± 233.71  
1275.3±605.37  
369.0 ± 453.45  
0.001*  
0.000*  
0.000*  
Data is expressed as mean ± standard deviation. * Significant differ-  
ence (P<0.001). Abbreviations: IL-1 = Interleukin - 1; IL-6 = Inter-  
leukin - 6; TNF-α = Tumor Necrosis Factor - Alpha.  
Table 3: Bonferonni Post-Hoc multiple comparison test  
Variables  
Control  
Control  
Uncomplicated  
verses  
verses  
verses  
Uncomplicated  
P - value  
0.008  
0.000  
0.071*  
complicated  
P-value  
0.002  
0.000  
0.000  
Complicated  
P-value  
0.183  
0.000  
0.000  
Bonferroni comparison test showed statistically lower  
levels of IL-6 in controls compared to subjects with  
complicated and uncomplicated malaria, as shown in  
Table 3. The levels of TNF-α were statistically lower in  
controls compared to subjects with complicated malaria  
and similarly lower for subjects with uncomplicated  
malaria compared to those with complicated malaria, as  
shown in Table 3. The levels of IL-1 were statistically  
lower in controls compared to subjects with complicated  
malaria, but not in the other subjects as shown in Table  
IL1  
IL6  
TNF-α  
Abbreviations: IL-1 = Interleukin - 1; IL-6 = Interleukin - 6; TNF-α =  
Tumor Necrosis Factor - Alpha.* Non significant difference (P> 0.05)  
3
. Pearson’s linear regression test indicated significant  
positive correlations between parasite density level and  
all cytokines studied in the combined ‘all’ (test subjects)  
1
45  
Table 4: Bivariate correlation between parasite density level  
and the pro-inflammatory cytokines in study subjects  
causal relationship between onset of blood stage infec-  
tion, initiation of the immune response and subsequent  
1
5
15  
Variables  
All test subjects  
Uncomplicated  
malaria Group  
Complicated ma-  
laria Group  
parasite growth . However, Walther and colleagues ,  
also noted that expression of these pro-inflammatory  
cytokines that brings about parasite control on the para-  
site proliferation comes at the cost of developing clinical  
symptoms, suggesting that the initial innate response  
may have far reaching consequences on disease out  
come. This highlights the question of balance proposed  
Coeffi-  
cient  
P
Coeffi-  
cient  
P
Coeffi-  
cient  
P
Parasite  
Density  
vs IL-1  
Parasite  
Density  
vs IL-6  
Parasite  
Density  
vs. TNF-α  
0.161  
0.433  
0.170  
0.043  
0.169  
0.308  
0.268  
0.04  
3
0.077  
0.441  
-0.345  
0.784  
0.000  
0.033  
0.00  
0
0.100  
0.207  
1
6
by a number of scholars; Kresmer et al. , Perkins et  
17  
18  
al. , Tiago et. al . Although this study did not deter-  
mine the levels of type 2 cytokines, it is evident that the  
pathological alterations and outcome of the infection  
depend on the reciprocal regulation of type 1 and type 2.  
Type 1 cytokines predominantly mediate cellular im-  
mune response as a result play important roles in de-  
layed-type hypersensitivity and in infections by intracel-  
lullar pathogens (such as malaria). These include inter-  
leukin-1 (IL-I), gamma interferon, interleukin-12 (IL-  
0.00  
1
Discussion  
P. falciparium malaria is characterized by marked  
19  
I2), and tumor necrosis factor-β (TNF-β) . Type 2 cy-  
changes in cytokine production arising from immune  
1
,2  
tokines are important in humoral immune response and  
infections that involve the development of hyper-  
gammaglobulinaemia, increased immunoglobulin E and  
eosinophilia, they include interleukin-4 (IL-4), inter-  
leukin-5 (IL-5), interleukin-6 (IL-6), interleukin-10 (IL-  
responses to infection . Malaria outcomes vary from  
1
1
mild to severe disease . This study documented ele-  
vated serum levels of pro-inflammatory cytokines in  
malaria infection. This study also found distinct differ-  
ences in cytokine production correlating with disease  
severity. Our results seem to suggest that individuals  
who had an adequate immune response to the parasite  
density they were infested with, in terms of proportion-  
ate cytokine response, presented with uncomplicated  
disease; while those who has an inadequate response  
presented with severe disease. Thus the clinical category  
of severity of malaria may be an indication of the degree  
of cytokine response to the infection. This observation  
shows that indeed the pathology observed in malaria is  
not directly as a result of the activities of the invading  
19  
I0), interleukin-13 (IL-I3) . Both of these cytokine  
types are produced by a number of cell types including  
CD4+ (T helper-1 and 2), CD8+ , Natural killer (NK), T  
20  
and B cells . Malaria infection has been reported to tilt  
the balance towards the production of more type 1 cyto-  
20  
kines . More so, marked imbalance between these two  
kinds of cytokines has been variously14,a15ssociated with  
differences in severity of the infection . Therefore in  
severe, acute infections such as malaria, the ability to  
mount an effective innate response may have implica-  
tion on survival as our data set demonstrated that the  
cytokine response of those with severe outcome com-  
pared to their parasite density seem to have been  
blunted. The significant difference between PD/PC and  
PC/AMC ratios in uncomplicated and severe disease  
seems to suggest that these ratios used in combination  
with other clinical methods, may be useful in predicting  
disease outcome. More work, however needs to be done,  
using larger data sets, to establish this.  
1
2
organism but the response of the individual to it . Ex-  
cess production of TNF-α may be responsible for the  
clinical and pathology (such as fever) seen in malaria.  
Previous studies had shown IL-6 as an important pro-  
inflammatory cytokine that is unregulated by TNF-α and  
acts in concert with3 other inflammatory mediators to  
1
control parasitaemia .  
This study found that both IL-6 and IL-1 appear to cor-  
relate with disease severity since elevated levels were  
noted in the severe malaria patients compared to the  
matched uncomplicated cases, as well as healthy con-  
1
1,14  
.
trols. This observation agrees with previous studies  
Conclusion  
We also observed that elevation in TNF-α level is asso-  
ciated with high density of P. falciparium infection, sug-  
gesting a correlation with level of parasiteamia. This  
finding could be responsible for the statistical difference  
observed in the mean TNF-α between the severe and  
control groups. Chotivanich and co-workers had in their  
previous study demonstrated that parasite factors such as  
the parasite density and their ability to infect high per-  
centage of erythrocytes correlate positively with the rate  
of synthesis of inflammatory cytokines and disease  
Subjects with an adequate immune response to the para-  
site density, in terms of proportionate increase in pro-  
inflammatory cytokine levels, presented with uncompli-  
cated disease; while those who have an inadequate re-  
sponse - in terms of disproportionate increase in pro-  
inflammatory cytokine levels, presented with severe  
disease. This observation makes immunotherapy an op-  
tion for the treatment of malaria. More so, disease sever-  
ity, may be predicted by ratios such as PD/PC and PC/  
AMC in combination with other clinical methods. More  
work, which should include anti-inflammatory cyto-  
kines, need to be done to corroborate this finding.  
6
11,12,14  
.
severity and consequently result in fatal outcome  
Other lines of evidence have demonstrated that increas-  
ing cytokine concentrations were coincident with rise in  
asexual parasiteamia, suggesting also that there is a  
1
46  
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