| Literature DB >> 31809965 |
Luyi Zhao1, Liang Pi1, Yucheng Qin2, Yuxin Lu2, Weilin Zeng1, Zheng Xiang1, Pien Qin2, Xi Chen1, Cuiying Li1, Yanmei Zhang1, Siqi Wang1, Yu Si1, Gongchao Yang3, Benjamin M Rosenthal4, Yaming Huang5, Zhaoqing Yang6.
Abstract
BACKGROUND: Imported cases of infectious disease provide invaluable information about epidemiological conditions abroad, and should guide treatment decisions at home and abroad. Here, we examined cases of malaria imported from Africa to China for mutations eroding the efficacy of sulfadoxine-pyrimethamine (SP), sometimes used as an intermittent preventive treatment during for pregnant women and infants.Entities:
Keywords: Africa; Anti-malarial drug resistance; Plasmodium falciparum; Sulfadoxine–pyrimethamine
Mesh:
Substances:
Year: 2019 PMID: 31809965 PMCID: PMC6909128 DOI: 10.1016/j.ijpddr.2019.11.002
Source DB: PubMed Journal: Int J Parasitol Drugs Drug Resist ISSN: 2211-3207 Impact factor: 4.077
Fig. 1Map of isolates returned from Central Africa and Western Africa.
Prevalence distribution of pfdhfr and pfdhps gene mutations among two groups.
| Gene | Codon | % (n) of isolates | ||
|---|---|---|---|---|
| Western Africa | Central Africa | |||
| N = 165 | N = 43 | |||
| N51I | 86.1 (142) | 90.7 (39) | 0.611 | |
| C59R | 90.3 (149) | 93.0 (40) | 0.799 | |
| S108N | 93.3 (154) | 93.0 (40) | 1 | |
| I164L | 11.5 (19) | 4.7 (2) | 0.295 | |
| N = 147 | N = 40 | |||
| I431V | 0.7 (1) | 0.0 (0) | 1.000 | |
| S436 A/F | 57.1 (84) | 45.0 (18) | 0.211 | |
| A437G | 87.8 (129) | 70.0 (28) | 0.015* | |
| K540 E/N | 12.9 (19) | 10.0 (4) | 0.820 | |
| A581G | 11.6 (17) | 0.0 (0) | 0.052 | |
| A613 S/T | 10.9 (16) | 5.0 (2) | 0.414 | |
*:P < 0.05.
Prevalence of Pfdhfr and Pfdhps haplotypes in isolates.
| Gene | Haplotype | Total | Total | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Liberia | Sierra Leone | Mali | Ghana | Congo | Cameroon | Congo, DRC | Central African | |||||
| N = 165 | N = 7 | N = 3 | N = 1 | N = 154 | N = 43 | N = 10 | N = 24 | N = 5 | N = 4 | |||
| NCSI (WT) | 6.7 (11) | 0 | 0 | 100.00 (1) | 6.5 (10) | 7.0 (3) | 10.00 (1) | 8.3 (2) | 0 | 0 | 0.792 | |
| 3.0 (5) | 0 | 0 | 0 | 3.3 (5) | 0 | 0 | 0 | 0 | 0 | 0.551 | ||
| N | 7.3 (12) | 14.3 (1) | 100 (3) | 0 | 5.2 (8) | 2.3 (1) | 10.00 (1) | 0 | 0 | 0 | 0.401 | |
| 71.5 (118) | 85.7 (6) | 0 | 0 | 72.7 (112) | 86.1 (37) | 70.00 (7) | 91.7 (22) | 80.0 (4) | 100.0 (4) | 0.051 | ||
| 11.5 (19) | 0 | 0 | 0 | 12.3 (19) | 4.7 (2) | 10.00 (1) | 0 | 20.0 (1) | 0 | 0.295 | ||
| N = 147 | N = 8 | N = 3 | N = 1 | N = 135 | N = 40 | N = 4 | N = 25 | N = 6 | N = 5 | |||
| ISAKAA (WT) | 1.4 (2) | 1.3 (1) | 0 | 0 | 0.74 (1) | 5.0 (2) | 0 | 8.0 (2) | 0 | 0 | 0.201 | |
| I | 8.8 (13) | 0 | 33.3 (1) | 0 | 8.9 (12) | 22.5 (9) | 0 | 32.0 (8) | 0 | 20.0 (1) | 0.036* | |
| IS | 29.3 (43) | 50.0 (4) | 33.3 (1) | 100.0 (1) | 27.4 (37) | 40.0 (16) | 0 | 40.0 (10) | 83.3 (5) | 20.0 (1) | 0.195 | |
| I | 36.1 (53) | 37.5 (3) | 0 | 0 | 37.0 (50) | 17.5 (7) | 0 | 16.0 (4) | 4.0 (1) | 40.0 (2) | 0.026* | |
| I | 2.0 (3) | 0 | 0 | 0 | 2.2 (3) | 2.5 (1) | 0 | 0 | 0 | 20.0 (1) | 1 | |
| IS | 2.7 (4) | 0 | 33.3 (1) | 0 | 2.2 (3) | 10.0 (4) | 100.00 (4) | 0 | 0 | 0 | 0.115 | |
| I | 1.4 (2) | 0 | 0 | 0 | 1.4 (2) | 0 | 0 | 0 | 0 | 0 | 1 | |
| I | 7.5 (11) | 0 | 0 | 0 | 8.2 (11) | 2.5 (1) | 0 | 4.0 (1) | 0 | 0 | 0.438 | |
| IS | 8.8 (13) | 0 | 0 | 0 | 9.6 (13) | 0 | 0 | 0 | 0 | 0 | 0.11 | |
| I | 0.7 (1) | 0 | 0 | 0 | 0.7 (1) | 0 | 0 | 0 | 0 | 0 | 1 | |
| IS | 0.7 (1) | 0 | 0 | 0 | 0.7 (1) | 0 | 0 | 0 | 0 | 0 | 1 | |
| 0.7 (1) | 0 | 0 | 0 | 0.7 (1) | 0 | 0 | 0 | 0 | 0 | 1 | ||
*: P < 0.05.
Comparison between Western Africa and Central Africa.
Prevalence of Pfdhfr/Pfdhps genotype.
| Gene | No. of mutations | Total | Western Africa | Total | Central Africa | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Liberia | Sierra Leone % (n) | Ghana | Congo | Congo, DRC | Cameroon | |||||
| N = 98 | N = 5 | N = 2 | N = 91 | N = 21 | N = 1 | N = 1 | N = 19 | |||
| IA | 1 | 0 | 0 | 0 | 0 | 4.8 (1) | 0 | 0 | 5.3 (1) | 0.394 |
| I | 2 | 0 | 0 | 0 | 0 | 4.8 (1) | 0 | 0 | 5.3 (1) | 0.394 |
| IS | 3 | 4.1 (4) | 20.0 (1) | 0 | 3.3 (3) | 4.8 (1) | 0 | 0 | 5.3 (1) | 1 |
| ISAKAA/ | 3 | 1.0 (1) | 20.0 (1) | 0 | 0 | 9.5 (2) | 0 | 0 | 10.5 (2) | 0.137 |
| I | 3 | 2.0 (2) | 0 | 0 | 2.2 (2) | 0 | 0 | 0 | 0 | 1 |
| I | 4 | 2.0 (2) | 0 | 0 | 2.2 (2) | 0 | 0 | 0 | 0 | 1 |
| I | 4 | 1.0 (1) | 0 | 0 | 1.1 (1) | 0 | 0 | 0 | 0 | 1 |
| I | 4 | 4.1 (4) | 0 | 0 | 4.4 (4) | 0 | 0 | 0 | 0 | 0.794 |
| I | 4 | 10.2 (10) | 0 | 50.00 (1) | 9.9 (9) | 38.1 (8) | 0 | 0 | 42.1 (8) | 0.003* |
| I | 5 | 2.0 (2) | 0 | 0 | 2.2 (2) | 4.8 (1) | 0 | 0 | 5.3 (1) | 0.445 |
| I | 5 | 45.9 (45) | 60.0 (3) | 0 | 46.2 (42) | 14.3 (3) | 0 | 50.0 (1) | 10.5 (2) | 0.001* |
| IS | 5 | 3.1 (3) | 0 | 50.00 (1) | 2.2 (2) | 14.3 (3) | 0 | 0 | 15.7 (3) | 0.113 |
| IS | 5 | 0 | 0 | 0 | 0 | 4.8 (1) | 50.0 (1) | 0 | 0 | – |
| I | 5 | 9.2 (9) | 0 | 0 | 9.9 (9) | 0 | 0 | 0 | 0 | 0.322 |
| I | 6 | 2.0 (2) | 0 | 0 | 2.2 (2) | 0 | 0 | 0 | 0 | 1 |
| IS | 6 | 1.0 (1) | 0 | 0 | 1.10 (1) | 0 | 0 | 0 | 0 | 1 |
| I | 6 | 1.0 (1) | 0 | 0 | 1.10 (1) | 0 | 0 | 0 | 0 | 1 |
| IS | 7 | 9.2 (9) | 0 | 0 | 9.9 (9) | 0 | 0 | 0 | 0 | 0.322 |
| 7 | 1.0 (1) | 0 | 0 | 1.10 (1) | 0 | 0 | 0 | 0 | 1 | |
| IS | 7 | 1.0 (1) | 0 | 0 | 1.10 (1) | 0 | 0 | 0 | 0 | 1 |
*: P < 0.05.
Comparison between Western Africa and Central Africa.