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Great progress on malaria elimination has been achieved in China, and thousands of imported malaria cases annually remain a key focus in malaria elimination and the post-elimination phase in China (1-2). In 2012, China established the malaria diagnosis reference laboratory network focusing on malaria diagnosis, treatment, and surveillance, which covered national, provincial, and county levels (3). According to the World Health Organization (WHO) malaria surveillance reference manual in the elimination stage, the antimalarial drug resistance surveillance network in China was established in 2016 and covered 8 provincial-level administrative divisions (PLADs) with more imported malaria cases or a high risk of malaria re-transmission including the following: Yunnan, Henan, Zhejiang, Shandong, Shanghai, Hunan, Sichuan, and Guangxi. This network depended on the malaria diagnosis reference laboratories and the Chinese Infectious Disease Reporting System (CIDRS), the largest web-based communicable diseases reporting system to provide diagnostic and treatment support and case information for drug resistance surveillance (2).
Up to now, P. falciparum has developed resistance to nearly all antimalarial drugs, including artemisinin and its derivatives (4). Antimalarial resistance surveillance is designed to monitor the efficacy against any Plasmodium spp. of the recommended first and second line drugs, and any new medicine or drug that is to be evaluated before being introduced into the national drug policy (5). Therapeutic efficacy studies (TES) remain the gold standard for assessing the efficacy of antimalarial drug, and integrated drug efficacy studies (iDES) will be introduced in low malaria transmission or malaria elimination areas, where surveillance capacity is strong enough to ensure all the data on malaria cases can be used to generate information on drug efficacy. Currently, molecular markers involved in P. falciparum resistance against antimalarial drugs have been confirmed (Table 1): chloroquine (CQ) resistance markers of P. falciparum CQ-resistance transporter (Pfcrt), multidrug resistance gene of P. falciparum multidrug resistance gene 1 (Pfmdr1), and P. falciparum dihydrofolate reductase (Pfdhfr) and P. falciparum dihydropteroate synthase (Pfdhps) conferring resistance to pyrimethamine and sulfadoxine (SP), respectively. Point mutations in PfK13 propeller region have been confirmed to be associated with artemisinin resistance (6). Since 2008, TES and molecular markers surveillance, 2 primary tools for monitoring antimalarial drug resistance, have been implemented in China for several years (7-9). The aim of this study was to investigate the efficacy of first line drugs for malaria treatment in Yunnan Province and characterize the drug resistance genes in the imported P. falciparum isolates from 2016 to 2020 in order to produce a systematic picture of antimalarial resistance to guide drug policy.
Genes Regions and countries (n) Haplotype Number Prevalence Drug Chemical family Pfcrt (n=2,492) Eastern Africa (145),
Western Africa (957),
Central Africa (733),
Southern Africa (619),
North Africa (2),
Other regions (36)Wild type (CVMNK) 1,747 70.1% Chloroquine 4-Aminoquinolines CVIET 484 19.4% CVMNT 120 4.8% CV M/I N/E K/T 74 3.0% Others * 67 2.7% Pfmdr1 (n=617) Eastern Africa (20),
Western Africa (185),
Central Africa (165),
Southern Africa (247)Wild type (NYD) 307 49.8% Amodiaquine Lumefantrine 4-Aminoquinolines Amino-alcohols NFD 124 20.1% YFD 82 13.3% N Y/F D 42 6.8% YYD 31 5.0% Others † 31 5.0% Pfdhfr (n=228) Angola (158),
Equatorial Guinea (70)Wild type (ANCSI) 3 1.3% Pyrimethamine Antifolates AIRNI 160 70.2% AICNI 55 24.1% Others § 10 4.4% Pfdhps (n=228) Angola (158),
Equatorial Guinea (70)Wild type (SAKAA) 11 4.8% Sulfadoxine Antifolates SGKAA 153 67.1% SGEAA 25 11.0% AGKAA 24 10.5% Others ¶ 15 6.6% * CVMEK; SVMNT; CVINT; CVIKK; SVINK; CVIKT; CVMK K/T; C/S VMN K/T; CV M/I N/E/D K/T.
† YYY; NFY; N/Y FD; N/Y YD; Y Y/F D; N/Y Y/F D; N/Y Y D/Y.
§ ANRNI; AIRNI; AIRNL.
¶ AAKAA.Table 1. Haplotypes of Pfcrt, Pfmdr1, Pfdhfr, and Pfdhps genes conferring resistance to antimalarial drugs in Plasmodium falciparum isolates.
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A total of 60 participants were enrolled and received observed treatment with DHA-PPQ or CQ between 2016 and 2020. The outcome of DHA-PPQ efficacy was adjusted and corrected using a nested polymerase chain reaction (PCR) assay. Overall, 39 participants with P. falciparum infection completed the 42 days of follow-up and 1 was lost to follow-up. The average ACPR rate for DHA-PPQ in 2016 (9/10), 2017 (15/16), and 2018 (12/13) was 92.0% (minimum: 90.0%; maximum: 93.8%) (Table 1). In 2017, 1 patient showed recurrent parasite infection after DHA-PPQ treatment and was originally determined as treatment failure but corrected to P. vivax infection by PCR amplification. In addition, 3 out of 39 patients (7.7%) were still positive on Day 3 by microscopy detection, which indicated that the time of parasite clearance was delayed and was an early warning of antimalarial drug resistance. The iDES was initiated in Yunnan Province in 2020. A total of 19 imported P. vivax patients were recruited and finished the 28 days of follow-up. Among them, 2 participants were lost and end of follow-up. The cure rate of CQ for P. vivax treatment in Yunnan Province was 100.0% (17/17).
Pfcrt gene was sequenced in 2,492 P. falciparum isolates imported from Africa. The most prevalent haplotype was the wild type (70.1%, 1,747/2,492). A total of 8 mutant haplotypes including single, double, and triple mutant types were detected, and another 4 mixed mutant haplotypes were observed simultaneously (Table 2). The triple mutant haplotype CVIET (19.4%, 484/2,492) was the most common mutant type, followed by the single mutant haplotype CVMNT (4.8%, 120/2,492).
Item TES of DHA-PIP for P. falciparum treatment iDES of CQ for P. vivax treatment Total 2016 2017 2018 2020 ETF 1 2* 1 0 4 LCF 0 0 0 0 0 LPF 0 0 0 0 0 ACPR 9 14 12 19 55 PCR-corrected ACPR 9 15 12 19 56 LFU * 0 0 1 2 3 Total 10 16 13 21 60 No. of Day3 (+) 0 3 1 NA Abbreviations: ETF=early treatment failure; LCF=late clinical failure; LPF=late parasitological failure; ACPR=adequate clinical and parasitological response; LFU=lost to follow-up. DHA-PPQ=dihydroartemisinin–piperaquine; CQ=chloroquine; NA=not available.
* One patient in 2017 who showed treatment failure after DHA-PPQ treatment was confirmed to have P. vivax infection, using PCR amplification, and the outcome was changed to PCR-corrected ACPR.Table 2. Treatment outcome of therapeutic efficacy studies (TES) and integrated drug efficacy studies in Yunnan Province, 2016–2020.
There were 617 P. falciparum isolates collected from Southern Africa (n=247), Western Africa (n=185), Central Africa (n=165), and Eastern Africa (n=20) for Pfmdr1 gene sequencing. The Pfmdr1 wild type NYD was common (49.8%, 307/617). Point mutations were identified in codons 86 and 184, and the D1246Y mutation was absent. In addition, 2 single and 3 double mutant haplotypes were identified. The single mutant haplotype NFD was the highest prevalent mutation (20.1%, 124/617). The double mutant haplotype YFD (13.3%, 82/617) was more common than the haplotypes of YYY (0.5%, 3/617) and NFY (0.2%, 1/617). The mixed mutant haplotypes were detected. Among them, N Y/F D was the main one and detected in 42 isolates (Table 2).
Pfdhfr and Pfdhps were genotyped in 70 P. falciparum samples from Equatorial Guinea and 158 from Angola. Most of them revealed high mutant prevalence and only 3 contained the Pfdhfr wild type ANCSI (Table 2). A total of 5 mutant haplotypes were identified and the most prevalent was the triple mutant haplotype AIRNI (70.2%, 160/228), followed by AICNI (24.1%, 55/228). No mixed mutant haplotype in the Pfdhfr gene. There were 8 isolates in Pfdhps wild type SAKAA (4.8%, 11/228). In addition, 1 single mutant (AAKAA), 2 double mutants (SGEAA and AGKAA), 2 triple mutants (AGKAS and SGEGA), and 1 mixed mutant haplotype were identified. The haplotype SGKAA with single mutant was common, with a prevalence of 67.1% (153/228), while the haplotypes SGEAA (11.0%, 25/228) and AGKAA (10.5%, 24/228) with double mutant were relatively less prevalent.
A total of 2,483 samples were collected including 941 from western Africa, 746 from central Africa, 666 from southern Africa, 120 from eastern Africa, 4 from northern Africa, and 6 from Asia and Oceania. Of all the successful sequencing samples, 2,344 isolates were wild type, 87 isolates carried PfK13 non-synonymous (NS) mutations, and 26 synonymous mutations were detected in 52 samples (Table 3). The mutant alleles A578S was detected in 14 isolates (0.6%, 14/2,483), which was the most frequent PfK13 mutation. Q613E variant was carried by 6 samples, which was the second-most frequent mutation; 74.1% (40/54) and 65.4% (17/26) of the NS and synonymous mutations were identified in one sample each. There were 11 samples carried PfK13 mutations associated with artemisinin resistance consisting of C580Y, R561H, R539T, M476I, and P553L. C469C variants were detected in 10 isolates with the highest prevalence of synonymous mutation.
Non-synonymous mutations in PfK13 Synonymous mutations in PfK13 Variant n Proportion Variant n Proportion A578S 14 16.1% C469C 10 19.2% Q613E 6 6.9% R471R 6 11.5% C580Y 3 3.4% V589V 4 7.7% M579I 3 3.4% A676A 3 5.8% N664D 3 3.4% T478T 3 5.8% C580F 2 2.3% Y493Y 3 5.8% D464N 2 2.3% A627A 2 3.8% N694K 2 2.3% G496G 2 3.8% P441S 2 2.3% N664N 2 3.8% R539T 2 2.3% Others † 17 32.7% R561H 2 2.3% R575T 2 2.3% R622I 2 2.3% V589I 2 2.3% Others* 40 46.0% Total 87 100.0% 52 100.0% * Others refer to the other non-synonymous mutations and one isolate of each variant, including A481T, A569T, A578T, A621S, A626T, C469F, C469F, D462N, D464E, D584V, D648N, D648Y, E556K, F434Y, F662C, G665S, I634T, I646K, I683R, K503E, K610R, K658Q, L457S, L488V, L619E, L663V, M476I, M562I, N629S, P443R, P553L, P574L, Q613H, R575K, T437N, T474I, V589A, V603E, V650F, V692L.
† Others refer to the other synonymous mutations and one isolate of each variant, including A557A, G454G, G533G, G638G, K610K, L492L, P443P, R417R, R575R, S477S, T535T, T573T, T685T, V487V, V510V, V666V, Y502Y.Table 3. Numbers and proportion of non-synonymous and synonymous mutations in the PfK13 gene detected in imported P. falciparum isolates collected during 2012–2019.
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