Literature DB >> 30737461

Plasmodium falciparum histidine-rich protein (PfHRP2 and 3) diversity in Western and Coastal Kenya.

David Nderu1,2, Francis Kimani3, Kelvin Thiong'o3, Evaline Karanja4, Maureen Akinyi3, Edwin Too3, William Chege3, Eva Nambati3, Christian G Meyer1,5,6, Thirumalaisamy P Velavan7,8,9,10.   

Abstract

Plasmodium falciparum histidine-rich proteins 2 (PfHRP2) based RDTs are advocated in falciparum malaria-endemic regions, particularly when quality microscopy is not available. However, diversity and any deletion in the pfhrp2 and pfhrp3 genes can affect the performance of PfHRP2-based RDTs. A total of 400 samples collected from uncomplicated malaria cases from Kenya were investigated for the amino acid repeat profiles in exon 2 of pfhrp2 and pfhrp3 genes. In addition, PfHRP2 levels were measured in 96 individuals with uncomplicated malaria. We observed a unique distribution pattern of amino acid repeats both in the PfHRP2 and PfHRP3. 228 PfHRP2 and 124 PfHRP3 different amino acid sequences were identified. Of this, 214 (94%) PfHRP2 and 81 (65%) PfHRP3 amino acid sequences occurred only once. Thirty-nine new PfHRP2 and 20 new PfHRP3 amino acid repeat types were identified. PfHRP2 levels were not correlated with parasitemia or the number of PfHRP2 repeat types. This study shows the variability of PfHRP2, PfHRP3 and PfHRP2 concentration among uncomplicated malaria cases. These findings will be useful to understand the performance of PfHRP2-based RDTs in Kenya.

Entities:  

Mesh:

Substances:

Year:  2019        PMID: 30737461      PMCID: PMC6368535          DOI: 10.1038/s41598-018-38175-1

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


Introduction

Malaria associated morbidity and mortality has steadily declined in recent years due to increased use of bed nets and other pertinent control measures[1,2]. Although malaria is an easily treatable parasitic disease, the rapid development of antimalarial drug resistance considerably threatens control efforts. Microscopic examination of stained blood smears continues to serve as the gold standard for malaria diagnosis[3]. However, it is not readily available in resource-limited areas due to the scarcity of skilled personnel, reliable electricity supply, good quality reagents and infrastructure[3]. The WHO and national malaria control programmes (NMCPs) have put in place strategies to circumvent this pitfall. One of these strategies is compulsory malaria testing by appropriate test systems, including rapid diagnostic tests (RDTs) prior to the prescription of antimalarial drugs. Discrepancies in the performance of antigen detecting tests are attributed to a combination of factors such as parasite levels, interpretation of RDT results and/or the handling and storage of RDT kits. However, some of the inconsistencies observed with results from Plasmodium falciparum histidine-rich protein 2 (PfHRP2)-based RDTs may also be explained by the deletion of the pfhrp2 gene and its structural homologue, pfhrp3, in some parasite isolates. In the 1990s, the first hand−held immunochromatographic malaria diagnostic test known as rapid diagnostic test (RDT), was developed to address the shortcomings of microscopy[4]. RDTs detect Plasmodium antigens using monoclonal antibodies (MAbs) impregnated on a nitrocellulose membrane[5]. About 10 µl of blood is required to perform the test. The antigens targeted by commercially available RDTs include P. falciparum histidine-rich protein 2 (PfHRP2), lactate dehydrogenase (LDH) and aldolase. PfHRP2 is P. falciparum-specific, aldolase is genus-specific, and LDH is available in three formats, namely P. falciparum-specific, P. vivax-specific and genus-specific[6]. Currently, there are more than 200 commercially available malaria RDT brands. The RDTs differ between manufacturers, depending on the antigen or combination of antigens that can be detected[7]. The WHO recommendation on the RDT format to be used in a given geographical area depends on the predominant Plasmodium species. For regions where P. falciparum is predominant such as sub-Saharan Africa, the WHO recommends the use of PfHRP2-based RDTs. Eighty-three percent of RDTs procured in 2016, globally, were supplied to African countries[2]. Ninety percent of these RDTs target PfHRP2[8]. The national malaria control programme of Kenya adopted the use of PfHRP2 detecting RDTs in 2012[9,10]. Future use of this test is threatened in many malaria-endemic areas including Kenya by the deletion of the gene coding for P. falciparum PfHRP2 and extensive antigen diversity that contributes to variation of the sensitivity of these tests[11-17]. There has been a considerable increase in the number of countries with P. falciparum isolates devoid of pfhrp2 and/or pfhrp3 over the last eight years. Recent entrants include Mozambique, Eritrea, Rwanda and Kenya[8,12,15,18-23]. It is therefore important to monitor parasite factors that can undermine malaria RDT-based diagnosis and, in the long run, safeguard the efficacy of antimalarial drugs and promote prompt and appropriate management of febrile illnesses. The present study aimed to investigate the diversity of PfHRP2 and its homologue PfHRP3 as well as variation of PfHRP2 levels in uncomplicated malaria cases from two malaria-endemic regions located in Western and Coastal Kenya.

Results

Exon 2 of both pfhrp2 and pfhrp3 was detected in all the 400 samples analysed in this study. Of this, 244 pfhrp2 and 267 pfhrp3 PCR products were successfully sequenced and their amino acid sequences deduced for an assessment of PfHRP2 and PFHRP3 diversity, respectively. The remaining 156 pfhrp2 and 133 pfhrp3 PCR products were excluded from further analysis because the nucleotide sequences for these amplicons could not be obtained despite repeated attempts. PfHRP2 and PfHRP3 amino acid sequence diversity among Kenyan P. falciparum isolates was characterised by differences in the frequency, occurrence and structural organisation of different amino acid repeat types.

PfHRP2 diversity

A total of 228 different PfHRP2 amino acid sequences were identified among 244 PfHRP2 sequences deduced in this study. The size of PfHRP2 was between 206 and 317 amino acids. Overall, PfHRP2 had a total of 20 to 37 amino acid repeat types per isolate. The organization of the amino acid repeat types in PfHRP2 was highly diverse. Thus, 94% (214/228) of PfHRP2 sequences occurred once only. The remainder (14) were shared among 30 isolates of which 12 sequences were identified in 2 isolates and 2/14 sequences occurred in 3 isolates. Thirteen previously reported PfHRP2 amino acid repeat types were identified in P. falciparum isolates from Kenya as shown in Table 1[16]. The frequency of these repeat types was similar among Western and Coastal Kenyan isolates. Table 2 shows the occurrence of PfHRP2 repeat types in this study. Repeat types 2 and 7 were identified in all isolates, whereas repeat types 1, 3, 5, 6, 8, 10 and 12 were observed in 80% to 99% of the isolates. Repeat type 4 (27%) occurred in a few isolates only. Repeat types 13 (8.2%), 14 (6.6%) and 19 (1.2%) were rare. All isolates lacked repeat types 9 and 11. Repeat type 14 did not occur in Tiwi, Coastal Kenya, and repeat type 19 was identified in only three isolates (3%) from Busia, Western Kenya. Most of the PfHRP2 repeat types had a similar occurrence within and between Western and Coastal Kenya, except for four repeat types (Table 2). Type 6 was significantly more prevalent and type 10 was significantly less prevalent in Western than in Coastal Kenya. Type 14 was significantly more prevalent in Msambweni than in Tiwi. Thirty-nine new PfHRP2 repeat types, which have not been reported previously, were identified at low frequencies with repeat type AHHAAH (5.7%) being the most common one (Table 3).
Table 1

Comparison of the range of individual PfHRP2 and PfHRP3 repeat types in malaria-endemic sites of Kenya.

Repeat typesRepeat sequencePfHRP2PfHRP3Malaria-endemic regionOverall
WesternCoastal
Type 1AHHAHHVAD++0–60–90–9
0–4 1–3 0–4
Type 2AHHAHHAAD++7–186–166–18
0–1 0 0
Type 3AHHAHHAAY+0–30–30–3
Type 4AHH++0–60–60–6
1 1 1
Type 5AHHAHHASD+0–30–30–3
Type 6AHHATD+0–80–60–8
Type 7AHHAAD++2–121–121–12
0–1 1 0–1
Type 8AHHAAY+0–30–30–3
Type 10AHHAAAHHATD+0–30–30–3
Type 12AHHAAAHHEAATH+0–10–10–1
Type 13AHHASD+0–20–20–2
Type 14AHHAHHATD+0–20–20–2
Type 15AHHAHHAAN+ 0–1 0–1 0–1
Type 16AHHAAN+ 6–18 9–15 6–18
Type 17AHHDG+ 3–10 3–8 3–10
Type 18AHHDD+ 1–4 1–3 1–4
Type 19AHHAA+0–100–1
Type 20SHHDD+ 1 1 1

The plus (+) and minus (−) signs show the presence or absence, respectively, of individual amino acid repeats in PfHRP2 and PfHRP3. The range of individual amino acid repeats in PfHRP3 is shown in bold.

Table 2

Comparison of the occurrence of individual PfHRP2 repeat types within and between two malaria-endemic regions in Kenya.

Repeat typesWesternCoastalRegional TotalOverall
Nyando n (%)Busia n (%)Mbita n (%)p-valueaMsambweni n (%)Tiwi n (%)p-valueaWestern n (%)Coastal n (%)p-valuebTotal n (%)
Type 130 (96.8)116 (99.1)24 (96.0)ns37 (94.9)32 (100)ns170 (98.3)69 (97.2)ns239 (98.0)
Type 231 (100)117 (100)25 (100)ns39 (100)32 (100)ns173 (100)71 (100)ns244 (100)
Type 329 (93.5)109 (93.2)21 (84)ns33 (84.6)29 (90.6)ns159 (91.9)62 (87.3)ns221 (90.6)
Type 48 (25.8)28 (23.9)7 (28.0)ns10 (25.6)13 (40.6)ns43 (24.9)23 (32.4)ns66 (27.0)
Type 525 (80.6)91(77.8)19 (76.0)ns35 (89.7)26 (81.3)ns135 (78)61 (85.9)ns196 (80.3)
Type 631 (100)116 (99.1)25 (100)ns32 (82.1)32 (100) 0.014 172 (99.4)64 (90.1) 0.001 236 (96.7)
Type 731 (100)117 (100)25 (100)ns39 (100)32 (100)ns173 (100)71 (100)ns244 (100)
Type 830 (96.8)111 (94.9)24 (96.0)ns38 (97.4)31 (96.9)ns165 (95.4)69 (97.2)ns234 (95.9)
Type 1027 (87.1)97 (82.9)23 (92.0)ns38 (97.4)31 (96.9)ns147 (85)69 (97.2) 0.007 216 (88.5)
Type 1230 (96.8)100 (85.5)24 (96.0)ns36 (92.3)29 (90.6)ns154 (89)65 (91.5)ns219 (89.8)
Type 132 (6.5)9 (7.7)3 (12.0)ns3 (7.7)3 (9.4)ns14 (8.1)6 (8.5)ns20 (8.2)
Type 141 (3.2)13 (11.1)2 (8.0)ns8 (20.5)0 0.007 16 (9.2)8 (11.3)ns24 (9.8)
Type 1903 (2.6)0ns00ns3 (1.7)0ns3 (1.2)

The 244 isolates analysed were distributed as follows; Nyando 31, Busia 117, Mbita 25, Msambweni 39 and Tiwi 32 isolates. The superscript letters show the p-values of comparison of the occurrence of repeat types within (a) and between (b) malaria-endemic regions in Kenya. Statistically significant difference (p < 0.05) shown in bold. ns: not significant.

Table 3

List of new PfHRP2 and PfHRP3 amino acid repeat types identified in Kenya.

PfHRP2PfHRP3
Repeat TypesKnown repeatsNovel Repeats(%)Repeat TypeKnown repeatsNovel Repeats(%)
Type 1AHHAHHVADAHHAHHVAY0.8Type 1AHHAHHVADAHHAHHGAE0.3
AHHAHHVPD0.4AHHSHHVAD0.7
AHHTHHVAD0.4AHQAHHVAD0.3
Type 2AHHAHHAADAHHADHAAD0.4AQHAHHVAD0.3
AHHAHHAAH*4.1Type 7AHHAADAHHADD0.3
AHHAHHADD1.2Type 15AHHAHHAANAHHAHHAPH0.3
AHHAHHADH0.4Type 16AHHAANAHHAAH*0.7
AHHAHHAPD0.8AHHADN0.3
AHHAHHAPH0.4AHHAPH0.3
Type 4AHHAHQ0.4AHHASN*1.5
ADH0.4AHHTAN0.3
Type 5AHHAHHASDAHHAPHASD0.4AHQADN*0.3
AHHDHHASD0.4AYHASH0.3
Type 6AHHATDAHHATH0.4Type 17AHHDGAHHDE0.3
Type 7AHHAADAHHAPD0.4AHHDH0.3
AHHAAH*5.7AHYDG0.3
AHHADD*2.0PHHDG0.7
AHHAHD0.4PHQDG0.3
AHHAND1.2SHHDG9.7
AHHANH0.4Type 18AHHDDAPHDD0.3
Type 8AHHAAYAHHADY0.4
Type 10AHHAAAHHATDAHHAAAHDAND0.4
AHHAAAHHAND0.8
AHHAAAHHATG0.4
AHHAATHHATD1.2
AHHAATHHATD0.4
Type 12AHHAAAHHEAATHADHAAAHDDAATH0.4
ADHAAAHHEAATH0.4
AHHAAAHDDHATH0.4
AHHAAAHDEAATH0.8
AHHAAAHHEAAAH0.8
AHHAAAHHEAASH0.4
AHHAAAHHESATH0.4
AHHAAAHHHAATH0.4
AHHAAAHPEAATH0.4
AHHAAPHHEAATH0.4
AHHADAHHDAATH0.4
Type 13AHHASDAHHASH0.4

The asterisks (*) shows new repeat types with >1 copy per isolate. The single-letter amino acid code in bold shows the position where the novel repeat types differ from the known repeat types. % shows the occurrence of the novel repeat types.

Comparison of the range of individual PfHRP2 and PfHRP3 repeat types in malaria-endemic sites of Kenya. The plus (+) and minus (−) signs show the presence or absence, respectively, of individual amino acid repeats in PfHRP2 and PfHRP3. The range of individual amino acid repeats in PfHRP3 is shown in bold. Comparison of the occurrence of individual PfHRP2 repeat types within and between two malaria-endemic regions in Kenya. The 244 isolates analysed were distributed as follows; Nyando 31, Busia 117, Mbita 25, Msambweni 39 and Tiwi 32 isolates. The superscript letters show the p-values of comparison of the occurrence of repeat types within (a) and between (b) malaria-endemic regions in Kenya. Statistically significant difference (p < 0.05) shown in bold. ns: not significant. List of new PfHRP2 and PfHRP3 amino acid repeat types identified in Kenya. The asterisks (*) shows new repeat types with >1 copy per isolate. The single-letter amino acid code in bold shows the position where the novel repeat types differ from the known repeat types. % shows the occurrence of the novel repeat types. We classified P. falciparum isolates into groups A, B, I and C based on the product of the number of repeat type 2 and type 7 (type 2 × type 7), as described in the methods section (PfHRP2 and PfHRP3 diversity), to determine their distribution on basis PfHRP2 diversity. Our study revealed that most of the isolates were in group B (type 2 × type 7; ranges from 50 to 100) (Table 4). The occurrence of group A (type 2 × type 7; >100) was significantly higher in Mbita than in Busia and Nyando, Western Kenya. In the Coastal region, however, the occurrence of group C (type 2 × type 7; <43) was significantly higher in Tiwi than in Msambweni.
Table 4

Comparison of the occurrence of PfHRP2 groups (Baker model) within and between malaria-endemic regions of Kenya.

PfHRP2 groupsWesternCoastalRegional totalp-valuebOverall
Nyando n (%)Busia n (%)Mbita n (%)p-valueaMsambweni n (%)Tiwi n (%)p-valueaWestern n (%)Coastal n (%)Total n (%)
Group A010 (8.5)5 (20.0) 0.025 2 (5.1)1 (3.1)ns15 (8.7)3 (4.2)ns18 (7.4)
Group B27 (87.1)90 (76.9)17 (68.0)ns30 (76.9)21 (65.8)ns134 (77.5)51 (71.8)ns185 (75.8)
Group I08 (6.8)2 (8.0)ns5 (12.8)2 (6.3)ns10 (5.7)7 (9.9)ns17 (7.0)
Group C4 (12.9)9 (7.7)1 (4.0)ns2 (5.1)8 (25.8) 0.035 14 (8.1)10 (14.1)ns24 (9.8)

Groups A, B, I and C constitute PfHRP2 sequence whose Baker repeat type 2 × type 7 number is >100, ranges from 50 to 100, ranges from 44 to 49 and <43, respectively. The superscript letters show the p-values of the comparison group occurrence within (a) and between (b) malaria-endemic regions of Kenya. Statistically significant difference (p < 0.05) shown in bold. ns: not significant.

Comparison of the occurrence of PfHRP2 groups (Baker model) within and between malaria-endemic regions of Kenya. Groups A, B, I and C constitute PfHRP2 sequence whose Baker repeat type 2 × type 7 number is >100, ranges from 50 to 100, ranges from 44 to 49 and <43, respectively. The superscript letters show the p-values of the comparison group occurrence within (a) and between (b) malaria-endemic regions of Kenya. Statistically significant difference (p < 0.05) shown in bold. ns: not significant. The structural organisation of the PfHRP2 repeat types was highly variable. Nevertheless, three characteristic features were observed. The repetitive region of most of the PfHRP2 sequences began with repeat type 1 in 96% to 99% of the P. falciparum isolates, ended with type 12 in 85.5% to 96.8% of P. falciparum isolates and had a semi−conserved PfHRP2 repeat type motif composed of repeat types 2, 3, 5, 7 and 8 in 50% (121/244) of the isolates as illustrated in Fig. 1a. Twenty−eight percent of the isolates shared parts of this motif composed of types 7, 8 and 2. These two motifs were not identified in 55 isolates.
Figure 1

Schematic diagram of the structural organisation of PfHRPs 2 and 3 amino acid repeat types in Kenya. (a) P. falciparum histidine-rich protein 2. (b) P. falciparum histidine-rich protein 3. *Semi-conserved amino acid repeat motif; **partial amino acid repeat motif.

Schematic diagram of the structural organisation of PfHRPs 2 and 3 amino acid repeat types in Kenya. (a) P. falciparum histidine-rich protein 2. (b) P. falciparum histidine-rich protein 3. *Semi-conserved amino acid repeat motif; **partial amino acid repeat motif.

PfHRP3 diversity

A total of 124 different PfHRP3 amino acid sequences were deduced from 267 pfhrp3 (exon 2) nucleotide sequences obtained in this study. The size of PfHRP3 ranged from 160 to 247 amino acids, whereas the total number of amino acid repeat types per isolate ranged between 18 and 33 types. Repeat types 1, 4 and 7 identified in PfHRP2 were also present in PfHRP3. The number of repeat types 16, 17 and 18 per isolates varied most (Table 1). Apart from type 2, which occurred only in one isolate from Nyando, the other repeat types had an occurrence of ≥97%. We identified 20 new PfHRP3 repeat types that have not been reported previously at low frequencies (Table 3). The amino acid sequence SHHDG was the most common (9.7%) novel PfHRP3 repeat type. Structurally, PfHRP3 was more conserved than PfHRP2. Eighty-one out of 124 (65.3%) different PfHRP3 sequences occurred only once, whereas 43/124 (34.7%) different PfHRP3 sequences were shared by 2–17 isolates each. In addition, the organisation of repeats was conserved between isolates as shown in Fig. 1b. A non-repetitive sequence was located between two PfHRP3 repetitive motifs.

PfHRP2 concentration in whole blood samples

PfHRP2 levels were measured in samples from 96 uncomplicated malaria cases with a median parasite density of 21,400 parasites/µl (interquartile range, IQR: 7,781–34,180 parasites/µl) and a mean haemoglobin level of 10.48 g/dl (95% CI 10.13–10.82 g/dl). The concentration of PfHRP2 in whole blood among the participants was highly variable. It ranged from 339.3 ng/ml to 13,766 ng/ml with a median of 2,470 ng/ml (IQR: 980.8 ng/ml–6,670 ng/ml). PfHRP2 levels did not correlate with parasitemia, the number of individual PfHRP2 repeat types per isolate and the product of the number of repeat types 2 and 7 per isolate (Fig. 2).
Figure 2

Results of Spearman’s correlation analysis between PfHRP2 levels and three P. falciparum parameters. (a) PfHRP2 vs. Parasitemia. (b) PfHRP2 vs. Total number of PfHRP2 repeat types per isolate. (c) PfHRP2 vs. Product of the number of repeat types 2 and 7. Statistical significance set at p-value < 0.05.

Results of Spearman’s correlation analysis between PfHRP2 levels and three P. falciparum parameters. (a) PfHRP2 vs. Parasitemia. (b) PfHRP2 vs. Total number of PfHRP2 repeat types per isolate. (c) PfHRP2 vs. Product of the number of repeat types 2 and 7. Statistical significance set at p-value < 0.05.

Discussion

PfHRP2 targeting RDTs are an important pillar of malaria control programmes and promote access to malaria diagnosis where microscopy is not available. Future use of these tests in malaria-endemic countries is threatened by the spread of isolates that do not express PfHRP2[18,24,25]. Since most of the commercially available RDTs target PfHRP2 expressed solely by P. falciparum, analysis of pfhp2/3 genetic diversity is of public health importance. We analysed the diversity of pfhrp2 and pfhrp3 among 400 isolates collected at five different time points (2007–2016) in Coastal and Western Kenya. Our study shows that pfhrp2 and pfhrp3 deletion did not occur among these isolates. This is consistent with two previous reports[16,17]. In 2017, however, Beshir et al. published the first report of pfhrp2 deletion in Mbita, Kenya[15]. We analysed 58 samples collected from this area in 2007, seven years before the Beshir et al. sample collection in 2014. Absence of pfhrp2/3 deletion in the present study strongly suggests that the reported pfhrp2 and pfhrp3 deletion may have occurred only recently in Mbita. It is important to note that the analysis of a small sample size in our study and the inclusion of symptomatic malaria cases may have influenced the results of this study. The latter is highly plausible considering that the Beshir et al. study analysed isolates obtained from asymptomatic malaria cases. Moreover, differences in the complexity of infection (COI) could have limited the detection of pfhrp2/3 deletion as reported recently[26]. At the amino acid sequence level, the structural organisation of repeat types was highly diverse. Ninety−four percent of the different PfHRP2 sequences identified in this study occurred only once. Similar findings have been reported in other malaria-endemic countries with Peruvian isolates being the least diverse[16,17]. Nevertheless, several characteristics were shared between isolates. Majority of the PfHRP2 sequences started with repeat type 1 and terminated with type 12, unlike in isolates from Senegal where type 12 was uncommon[27]. Similarly, 50% of the isolates had a previously described motif of repeat types 2, 3, 5, 7, 8, 2 and 7, which has been identified in 44% of P. falciparum isolates globally[16]. An additional 27% of our isolates had part of this motif (7, 8, 2 and 7), which is predominant in isolates from Madagascar[28]. The motif of types 2, 4, 5, 6, 7 and 8 found in Indian isolates was absent[13]. In contrast to the diverse structural organisation described here, subtle differences were observed in the occurrence and number of PfHRP2 repeat types per isolate between and within Kenyan malaria-endemic sites. We found types 2 and 7 in all isolates, however, types 9 and 11 were completely absent in all isolates as reported elsewhere[13,16,27-32]. Type 4 was found in a few isolates (27%) and the rare types 13 and 14 were found in <8% of isolates[27,29-31,33]. Our data show for the first time the occurrence of type 19 (3 isolates) in Kenya. Other countries where type 19 was found are Uganda, Senegal, Mali and the Philippines[16,30,33]. The prevalence of the other repeat types identified were >80% consistent with earlier reports. PfHRP3, on the other hand, showed lower variation than PfHRP2 in its structural organisation, occurrence and number of repeat types. This is reflected by the omnipresence of eight PfHRP3 repeat types identified previously[17], the presence of a conserved repeat type organisation and a lower proportion (65%) of different PfHRP3 repeat type profiles. The identification of type 2 in the PfHRP3 of one isolate from Nyando confirmed our previous observation of the occurrence of this repeat in one isolate from Busia, Western Kenya, during the evaluation of a malaria RDT[34]. This strengthens our earlier hypothesis that type 2 presence in PfHRP3 may have occurred recently among Kenyan P. falciparum isolates. Beyond the Kenyan borders, the presence of type 2 in PfHRP3 has been reported from India at a prevalence of 2.9%[33]. Another characteristic feature of histidine-rich proteins 2 and 3 from Kenyan isolates was the presence of repeat types that have not been described previously. Here, we identified 59 new repeat types arising from replacement of ≥1 amino acid of the previously described PfHRP2 and PfHRP3 repeat types. Majority of these new repeat types (39/59) were identified in PfHRP2, consistent with its higher diversity. A similar phenomenon was observed among isolates from the Chinese-Myanmar border where novel PfHRP2 repeat types originated from replacement of a single amino acid of eight amino acid repeats types, compared to the replacement ≥1 amino acid in 14 repeat types reported in this study[31]. Five additional repeats types (novel) have also been identified in Indian isolates[33]. Our study corroborates the existence of repeat types that are yet to be described and shows that they have a low prevalence. It also shows that there is a limited distribution of the new repeat types between different geographical regions. This is exemplified by the observation of the novel repeats types AHHAHHVAY (PfHRP2) and SHHDG (PfHRP3) among Kenyan isolates that were previously found in isolates from the China-Myanmar border and India, respectively[31,33]. Nevertheless, the new PfHRP2 repeat type AHHAAH (6%) and the new PfHRP3 repeat type SHHDG (10%) were most frequent in this study. Currently it is of major importance in how far PfHRP2 diversity may affect malaria diagnoses based on the detection of PfHRP2. Baker et al. demonstrated, using a binary logistic regression model (Baker model), that the observed inter-study sensitivity variation of PfHRP2-based RDTs is linked to the product of the number of type 2 and type 7 (type 2 × type 7), especially with parasite densities of ≤250 parasites/µl[17]. In 2010, Baker et al. showed that RDT sensitivity does not correlate with type 2 × type 7 of isolates from different geographical areas[16]. Studies by Kumar et al. (2012) and Wurtz et al. (2013) have, however, associated type 2 × type 7 below 43 (group C) with RDT false negativity and reduced limited of detection, respectively[13,14]. This study was not able investigate this relationship in Kenyan isolates owing to the lack of PfHRP2-based RDT testing of the samples analysed here. Nevertheless, we utilized PfHRP2 classification of isolates based on type 2 × type 7 to determine the distribution of Kenyan isolates on basis of PfHRP2 diversity[17]. Our data reveals that most of Kenyan isolates (76%) are in group B (type 2 × type 7; ranges from 50 to 100). This finding is congruent with studies from Madagascar (69%) and Senegal (71%)[27,28] and is comparable to our recent observation of 71% group B isolates in a small size of 38 samples[34]. PfHRP2-specific monoclonal antibodies have been reported to also detect PfHRP3, a PfHRP2 homologue[17,35]. This cross-reactivity originates from the presence of repeat types 1, 2, 4 and 7, which are also found in PfHRP2. Consistent with this observation, we identified repeat types 1, 4 and 7 in PfPHP2 and PfHRP3 of Kenyan isolates apart from one isolate that exhibited these repeat types in addition to type 2. This implies that PfHRP3 may be useful in modulating the impact of PfHRP2 antigenic polymorphism in the context of malaria diagnosis using PfHRP2-based RDTs[15,36,37]. Whether cross-reactivity offers a diagnostic advantage remains to be validated due to the current lack of PfHRP3-specific monoclonal antibodies. Along with genetic deletion and diversity of histidine-rich proteins 2 and 3, suboptimal antigen levels can contribute to false negative results of RDTs[38]. We observed a significant variation of PfHRP2 concentrations among uncomplicated malaria cases from Busia County, Kenya. Furthermore, the level of PfHRP2 did not correlate with parasitemia or the number of PfHRP2 repeat types per isolate. While we could not assess RDT sensitivity directly, our findings suggest that repeat type is not likely to be associated with RDT sensitivity, as previously observed by Baker et al.[16]. A previous study demonstrated, in vitro, that PfHRP2 expression varies between strains, the erythrocytic stages of P. falciparum and the mature schizonts account for most of the PfHRP2 released[39]. This presents a methodological challenge when investigating factors influencing PfHRP2 levels in the host. Additional confounding factors include PfHRP2 antibody cross-reaction with PfHRP3, PfHRP2 expression by gametocytes, slow antigen clearance and residual PfHRP2 from previous infections[6,40-42]. Nevertheless, the potential impact of PfHRP2 levels on sensitivity needs also to be considered during the evaluation of RDTs. Taken together, this study shows extensive diversity of Plasmodium falciparum histidine-rich proteins 2 and 3 in Kenyan isolates. It also highlights the existence of additional amino acid repeat types which extends PfHRP2 and PfHPR3 antigenic variability. Information from this study will be useful to understand the performance of PfHRP2-detecting RDTs in this setting.

Methods

Study sites and sample selection

Four hundred P. falciparum isolates collected from symptomatic malaria cases in the frame of antimalarial drug efficacy trials conducted between 2007 and 2016, in malaria-endemic sites situated in Western (Mbita 2007, Nyando 2015 and Busia 2016) and Coastal (Tiwi 2008 and Msambweni 2013) Kenya were analysed in this study (Fig. 3). An inclusion criterion of >2,000 to 200,000 parasites/µl by microscopy was used in these studies. Samples were obtained before antimalarial drug administration and stored as dried blood spots (DBS) on filter papers, except isolates collected in Busia (whole blood in EDTA). Samples were included in the study after P. falciparum infection was confirmed using a P. falciparum-specific 18 S ribosomal RNA (rRNA) nested PCR.
Figure 3

Map of Kenya showing the geographical location of the study sites. MSW is an abbreviation for Msambweni. The number of P. falciparum isolates recruited per study site shown in parentheses.

Map of Kenya showing the geographical location of the study sites. MSW is an abbreviation for Msambweni. The number of P. falciparum isolates recruited per study site shown in parentheses.

Ethical Statement

The study was approved by the Scientific & Ethics Review Unit (SERU) of Kenya Medical Research Institute (KEMRI) Nairobi (KEMRI/SERU/0152/3250) and written informed consent was obtained from the parents/guardians of all children and from adult participants. All experiments were performed in accordance with relevant guidelines and regulations.

Molecular analysis

Genomic DNA was extracted using QIAamp DNA mini kit (Qiagen, Hilden, Germany) following the manufacturer’s instructions. Individual PCRs targeting P. falciparum 18S rRNA, pfhrp2 (exon 2) and pfhrp3 (exon 2) were performed as described previously (Table S1)[17,43]. Briefly, 1 µl of DNA template was added into a master mix containing 1 × PCR buffer (Qiagen, Hilden, Germany), 200 µM of each dNTP, 1 unit of Qiagen Taq DNA polymerase (Qiagen, Hilden, Germany), and 100 nM of each primer in a total volume of 20 µl. Genomic DNA of three P. falciparum strains was used as controls, namely 3D7 (pfhrp2+ and pfhrp3+), Dd2 (pfhrp2− and pfhrp3+) and Hb3 (pfhrp2+ and pfhrp3−). pfhrp2 and pfhrp3 PCR products were purified using SephadexTM G-50 fine DNA grade (GE Healthcare, Buckinghamshire, UK) and sequenced using the BigDye Terminator v3.1 Cycle Sequencing Kit (Applied Biosystems, CA, USA) according to the manufacturer’s instructions. PCR products were sequenced in the forward and reverse direction. DNA sequence chromatograms were visually inspected to resolve discordant base-calling. BioEdit (http://www.mbio.ncsu.edu/BioEdit/bioedit.html) was used to assemble the nucleic acid sequences using P. falciparum 3D7 pfhrp2 (PF3D7_0831800) and pfhrp3 (PF3D7_1372200) DNA sequences as the references as well as deduce amino acid sequences of PfHRP2 and PfHRP3.

PfHRP2 and PfHRP3 diversity

The diversity of PfHRP2 and PfHRP3 was described based on the frequency, occurrence and organisation of histidine-rich protein repeat types (numerically coded as repeat types 1 to 24) as described by Baker et al.[16,17]. The product of the number of PfHRP2 repeat types 2 and 7 (type 2 × type 7) was used to classify P. falciparum isolates into four groups, namely group A (very sensitive), group B (sensitive), group I (borderline) and group C (non-sensitive) when the number of type 2 × type 7 was above 100, ranged from 50 to 100, ranged from 44 to 49, and less than 43, respectively. This was conducted to determine the distribution of P. falciparum isolates based on PfHRP2 diversity.

PfHRP2 quantification by enzyme-linked immunosorbent assay (ELISA)

The measurement of PfHRP2 levels in whole blood samples of uncomplicated malaria cases from Busia County was conducted using a commercial sandwich ELISA kit (Malaria Ag CelisaTM, Cellabs, Sydney, Australia) in accordance with the manufacturer’s instructions. The optical density (OD) was measured at 450 nm in a PHOmo reader (Autobio Diagnostics Co. Ltd, Zhengzhou, China). The OD cut-off level was set by calculating the mean OD + 3 SD of three negative controls included in each ELISA run. OD above and below the cut-off was regarded to be positive and negative, respectively. PfHRP2 concentration was calculated using a standard curve prepared using serial dilutions (1:1) of recombinant PfHRP2 in phosphate buffered saline (PBS).

Data Analysis

Chi-square and Fisher’s exact tests were used to compare the occurrence of amino acid repeat types between and within malaria-endemic sites. Kruskal Wallis and Mann-Whitney U tests were applied for analysis of non-parametric data. Significance was observed at a p-value < 0.05. Supplementary data on Primers and PCR conditions used
  35 in total

1.  Effect of sequence variation in Plasmodium falciparum histidine- rich protein 2 on binding of specific monoclonal antibodies: Implications for rapid diagnostic tests for malaria.

Authors:  Nelson Lee; Joanne Baker; Kathy T Andrews; Michelle L Gatton; David Bell; Qin Cheng; James McCarthy
Journal:  J Clin Microbiol       Date:  2006-08       Impact factor: 5.948

2.  Persistent ICT malaria P.f/P.v panmalarial and HRP2 antigen reactivity after treatment of Plasmodium falciparum malaria is associated with gametocytemia and results in false-positive diagnoses of Plasmodium vivax in convalescence.

Authors:  E Tjitra; S Suprianto; J McBroom; B J Currie; N M Anstey
Journal:  J Clin Microbiol       Date:  2001-03       Impact factor: 5.948

3.  Genetic diversity of Plasmodium falciparum histidine-rich protein 2 (PfHRP2) and its effect on the performance of PfHRP2-based rapid diagnostic tests.

Authors:  Joanne Baker; James McCarthy; Michelle Gatton; Dennis E Kyle; Vicente Belizario; Jennifer Luchavez; David Bell; Qin Cheng
Journal:  J Infect Dis       Date:  2005-07-21       Impact factor: 5.226

4.  Identification of optimal epitopes for Plasmodium falciparum rapid diagnostic tests that target histidine-rich proteins 2 and 3.

Authors:  Nelson Lee; Michelle L Gatton; Anita Pelecanos; Martin Bubb; Iveth Gonzalez; David Bell; Qin Cheng; James S McCarthy
Journal:  J Clin Microbiol       Date:  2012-01-18       Impact factor: 5.948

Review 5.  Update on rapid diagnostic testing for malaria.

Authors:  Clinton K Murray; Robert A Gasser; Alan J Magill; R Scott Miller
Journal:  Clin Microbiol Rev       Date:  2008-01       Impact factor: 26.132

6.  A large proportion of P. falciparum isolates in the Amazon region of Peru lack pfhrp2 and pfhrp3: implications for malaria rapid diagnostic tests.

Authors:  Dionicia Gamboa; Mei-Fong Ho; Jorge Bendezu; Katherine Torres; Peter L Chiodini; John W Barnwell; Sandra Incardona; Mark Perkins; David Bell; James McCarthy; Qin Cheng
Journal:  PLoS One       Date:  2010-01-25       Impact factor: 3.240

7.  Global sequence variation in the histidine-rich proteins 2 and 3 of Plasmodium falciparum: implications for the performance of malaria rapid diagnostic tests.

Authors:  Joanne Baker; Mei-Fong Ho; Anita Pelecanos; Michelle Gatton; Nanhua Chen; Salim Abdullah; Audrey Albertini; Frederic Ariey; John Barnwell; David Bell; Jane Cunningham; Djibrine Djalle; Diego F Echeverry; Dionicia Gamboa; Jeffery Hii; Myat Phone Kyaw; Jennifer Luchavez; Christopher Membi; Didier Menard; Claribel Murillo; Sina Nhem; Bernhards Ogutu; Pamela Onyor; Wellington Oyibo; Shan Qing Wang; James McCarthy; Qin Cheng
Journal:  Malar J       Date:  2010-05-17       Impact factor: 2.979

Review 8.  A review of malaria diagnostic tools: microscopy and rapid diagnostic test (RDT).

Authors:  Chansuda Wongsrichanalai; Mazie J Barcus; Sinuon Muth; Awalludin Sutamihardja; Walther H Wernsdorfer
Journal:  Am J Trop Med Hyg       Date:  2007-12       Impact factor: 2.345

9.  Transcription and expression of Plasmodium falciparum histidine-rich proteins in different stages and strains: implications for rapid diagnostic tests.

Authors:  Joanne Baker; Michelle L Gatton; Jennifer Peters; Mei-Fong Ho; James S McCarthy; Qin Cheng
Journal:  PLoS One       Date:  2011-07-22       Impact factor: 3.240

10.  Country-wide assessment of the genetic polymorphism in Plasmodium falciparum and Plasmodium vivax antigens detected with rapid diagnostic tests for malaria.

Authors:  Natacha Mariette; Céline Barnadas; Christiane Bouchier; Magali Tichit; Didier Ménard
Journal:  Malar J       Date:  2008-10-28       Impact factor: 2.979

View more
  14 in total

1.  Assessment of Plasmodium falciparum histidine rich protein 2 and /3 (pfhrp 2&/ pfhrp 3) gene deletion or mutation in Plasmodium falciparum positive blood samples in a tertiary care centre in South India.

Authors:  Monika Sivaradjy; Abdoul Hamide; Sriram Krishnamoorthy; Nonika Rajkumari; Vamsi Mohan; Ferdina Marie Sharmila
Journal:  J Parasit Dis       Date:  2022-05-11

2.  Comparison of Rapid Diagnostic Test, Microscopy, and Polymerase Chain Reaction for the Detection of Plasmodium falciparum Malaria in a Low-Transmission Area, Jazan Region, Southwestern Saudi Arabia.

Authors:  Aymen M Madkhali; Ahmad Hassn Ghzwani; Hesham M Al-Mekhlafi
Journal:  Diagnostics (Basel)       Date:  2022-06-17

3.  High-throughput Plasmodium falciparum hrp2 and hrp3 gene deletion typing by digital PCR to monitor malaria rapid diagnostic test efficacy.

Authors:  Claudia A Vera-Arias; Aurel Holzschuh; Colins O Oduma; Kingsley Badu; Mutala Abdul-Hakim; Joshua Yukich; Manuel W Hetzel; Bakar S Fakih; Abdullah Ali; Marcelo U Ferreira; Simone Ladeia-Andrade; Fabián E Sáenz; Yaw Afrane; Endalew Zemene; Delenasaw Yewhalaw; James W Kazura; Guiyun Yan; Cristian Koepfli
Journal:  Elife       Date:  2022-06-28       Impact factor: 8.713

4.  Nationwide Surveillance of Pfhrp2 Exon 2 Diversity in Plasmodium falciparum Circulating in Symptomatic Malaria Patients Living in Ghana.

Authors:  Dorcas G Bredu; George K Ahadzi; Donu Dickson; Nana Y Peprah; Alexander Asamoah; George A Asumah; Benjamin Abuaku; Kwame K Asare; Dorcas Obiri-Yeboah; Colby T Ford; Eugenia Lo; Keziah L Malm; Linda E Amoah
Journal:  Am J Trop Med Hyg       Date:  2022-05-02       Impact factor: 3.707

5.  Using the Ultrasensitive Alere Plasmodium falciparum Malaria Ag HRP-2 Rapid Diagnostic Test in the Field and Clinic in Northeastern Uganda.

Authors:  Tonny Jimmy Owalla; Emmanuel Okurut; Gonzaga Apungia; Basil Ojakol; Jimmy Lema; Sean C Murphy; Thomas G Egwang
Journal:  Am J Trop Med Hyg       Date:  2020-06-25       Impact factor: 2.345

6.  An alternative dogma on reduced artemisinin susceptibility: A new shadow from east to west.

Authors:  Thirumalaisamy P Velavan; David Nderu; Tsiri Agbenyega; Francine Ntoumi; Peter G Kremsner
Journal:  Proc Natl Acad Sci U S A       Date:  2019-06-25       Impact factor: 11.205

7.  Genetic variations in histidine-rich protein 2 and histidine-rich protein 3 of Myanmar Plasmodium falciparum isolates.

Authors:  Hương Giang Lê; Jung-Mi Kang; Jinyoung Lee; Won Gi Yoo; Moe Kyaw Myint; Khin Lin; Tong-Soo Kim; Byoung-Kuk Na
Journal:  Malar J       Date:  2020-11-02       Impact factor: 2.979

8.  Impact of Plasmodium falciparum pfhrp2 and pfhrp3 gene deletions on malaria control worldwide: a systematic review and meta-analysis.

Authors:  Irene Molina-de la Fuente; Andrea Pastor; Zaida Herrador; Agustín Benito; Pedro Berzosa
Journal:  Malar J       Date:  2021-06-22       Impact factor: 2.979

9.  Plasmodium falciparum histidine-rich protein 2 diversity in Ghana.

Authors:  Otchere Addai-Mensah; Bismarck Dinko; Mark Noagbe; Selassie Louis Ameke; Max Efui Annani-Akollor; Eddie-Williams Owiredu; Kofi Mensah; Richmond Tackie; Eliezer Togbe; Comfort Agyare-Kwabi; Charles Gyasi; Constance Adu-Gyamfi; Alexander Yaw Debrah
Journal:  Malar J       Date:  2020-07-16       Impact factor: 2.979

10.  Genetic polymorphism of histidine rich protein 2 in Plasmodium falciparum isolates from different infection sources in Yunnan Province, China.

Authors:  Ying Dong; Shuping Liu; Yan Deng; Yanchun Xu; Mengni Chen; Yan Liu; Jingpo Xue
Journal:  Malar J       Date:  2019-12-30       Impact factor: 2.979

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.