{"title":"尼日利亚卡杜纳州疟疾患者恶性疟原虫耐药性相关遗传标记的检测","authors":"G. Y. Benjamin, H. Inabo, M. Doko, B. Olayinka","doi":"10.4314/njpar.v42i2.3","DOIUrl":null,"url":null,"abstract":"Malaria is a disease of public health concern in Nigeria and sub-Saharan Africa. It is caused by intracellular parasites of the genus Plasmodium. The aim of this study was to detect genetic markers associated with Plasmodium falciparum drug resistance among malaria patients in Kaduna State, Nigeria. The study was a cross-sectional study that lasted from May 2018 to October 2018. Three hundred blood samples were collected from consenting individuals attending selected hospitals, in the three senatorial districts of Kaduna State, Nigeria. Structured questionnaire were used to obtain relevant data from study participants. The blood samples were screened for malaria parasites using microscopy and rapid diagnostic test kit. Polymerase Chain Reaction was used for detection of the drug resistance genes. Pfcrt, pfmdr1, pfdhfr, pfdhps and pfatpase6 genes were detected at expected amplicon sizes from the malaria positive samples. The pfatpase6 PCR amplicons were sequenced and a phylogenetic tree was created to determine their relatedness. Result showed that Pfcrt (80%) had the highest prevalence, followed by pfdhfr (60%), pfmdr1 (36%) and pfdhps (8%). Pfatpase6 was also detected in 73.3% of the samples, and a phylogenetic tree showed relatedness between the pfatpase6 sequences in this study and those deposited in the GenBank. In conclusion, the study detected that Plasmodium falciparum genes were associated with drug resistance to commonly used antimalarials.","PeriodicalId":19206,"journal":{"name":"Nigerian Journal of Parasitology","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Detection of Genetic markers associated with Plasmodium falciparum drug resistance among malaria patients in Kaduna State, Nigeria\",\"authors\":\"G. Y. Benjamin, H. Inabo, M. Doko, B. Olayinka\",\"doi\":\"10.4314/njpar.v42i2.3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Malaria is a disease of public health concern in Nigeria and sub-Saharan Africa. It is caused by intracellular parasites of the genus Plasmodium. The aim of this study was to detect genetic markers associated with Plasmodium falciparum drug resistance among malaria patients in Kaduna State, Nigeria. The study was a cross-sectional study that lasted from May 2018 to October 2018. Three hundred blood samples were collected from consenting individuals attending selected hospitals, in the three senatorial districts of Kaduna State, Nigeria. Structured questionnaire were used to obtain relevant data from study participants. The blood samples were screened for malaria parasites using microscopy and rapid diagnostic test kit. Polymerase Chain Reaction was used for detection of the drug resistance genes. Pfcrt, pfmdr1, pfdhfr, pfdhps and pfatpase6 genes were detected at expected amplicon sizes from the malaria positive samples. The pfatpase6 PCR amplicons were sequenced and a phylogenetic tree was created to determine their relatedness. Result showed that Pfcrt (80%) had the highest prevalence, followed by pfdhfr (60%), pfmdr1 (36%) and pfdhps (8%). Pfatpase6 was also detected in 73.3% of the samples, and a phylogenetic tree showed relatedness between the pfatpase6 sequences in this study and those deposited in the GenBank. In conclusion, the study detected that Plasmodium falciparum genes were associated with drug resistance to commonly used antimalarials.\",\"PeriodicalId\":19206,\"journal\":{\"name\":\"Nigerian Journal of Parasitology\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nigerian Journal of Parasitology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4314/njpar.v42i2.3\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Immunology and Microbiology\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nigerian Journal of Parasitology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4314/njpar.v42i2.3","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Immunology and Microbiology","Score":null,"Total":0}
Detection of Genetic markers associated with Plasmodium falciparum drug resistance among malaria patients in Kaduna State, Nigeria
Malaria is a disease of public health concern in Nigeria and sub-Saharan Africa. It is caused by intracellular parasites of the genus Plasmodium. The aim of this study was to detect genetic markers associated with Plasmodium falciparum drug resistance among malaria patients in Kaduna State, Nigeria. The study was a cross-sectional study that lasted from May 2018 to October 2018. Three hundred blood samples were collected from consenting individuals attending selected hospitals, in the three senatorial districts of Kaduna State, Nigeria. Structured questionnaire were used to obtain relevant data from study participants. The blood samples were screened for malaria parasites using microscopy and rapid diagnostic test kit. Polymerase Chain Reaction was used for detection of the drug resistance genes. Pfcrt, pfmdr1, pfdhfr, pfdhps and pfatpase6 genes were detected at expected amplicon sizes from the malaria positive samples. The pfatpase6 PCR amplicons were sequenced and a phylogenetic tree was created to determine their relatedness. Result showed that Pfcrt (80%) had the highest prevalence, followed by pfdhfr (60%), pfmdr1 (36%) and pfdhps (8%). Pfatpase6 was also detected in 73.3% of the samples, and a phylogenetic tree showed relatedness between the pfatpase6 sequences in this study and those deposited in the GenBank. In conclusion, the study detected that Plasmodium falciparum genes were associated with drug resistance to commonly used antimalarials.