OBJECTIVE: During an epidemiological study (January-July 2012) on malaria in forest villages of Central India, Plasmodium malariae-like malaria parasites were observed in blood smears of fever cases. We aimed to confirm the presence of P. malariae using molecular tools i.e. species-specific nested polymerase chain reaction (PCR) and DNA sequencing. METHODS: All fever cases or cases with history of fever in 25 villages of Balaghat district were screened for malaria parasite using bivalent rapid diagnostic test and microscopy after obtaining written informed consent. Nested PCR was employed on microscopically suspected P. malariae cases. DNA sequences in the target region for PCR diagnosis were analysed for all the suspected cases of P. malariae. RESULTS: Among the 22 microscopy suspected P. malariae cases, nested PCR confirmed the identity of P. malariae in 19 cases. Among these 14 were mono P. malariae infections, three were mixed infection of P. malariae with Plasmodium falciparum and two were mixed infection of P. malariae with Plasmodium vivax. Clinically P. malariae subjects generally presented with fever and headache. However, the typical 3-day pattern of quantum malaria was not observed. The parasite density of P. malariae was significantly lower than that of P. vivax and P. falciparum. DISCUSSIONS: Plasmodium malariae may have been in existence in forest villages of central India but escaped identification due to its close resemblance to P. vivax. The results re-affirm the importance of molecular methods of testing on routine basis for efficacious control strategies against malaria.
OBJECTIVE: During an epidemiological study (January-July 2012) on malaria in forest villages of Central India, Plasmodium malariae-like malaria parasites were observed in blood smears of fever cases. We aimed to confirm the presence of P. malariae using molecular tools i.e. species-specific nested polymerase chain reaction (PCR) and DNA sequencing. METHODS: All fever cases or cases with history of fever in 25 villages of Balaghat district were screened for malaria parasite using bivalent rapid diagnostic test and microscopy after obtaining written informed consent. Nested PCR was employed on microscopically suspected P. malariae cases. DNA sequences in the target region for PCR diagnosis were analysed for all the suspected cases of P. malariae. RESULTS: Among the 22 microscopy suspected P. malariae cases, nested PCR confirmed the identity of P. malariae in 19 cases. Among these 14 were mono P. malariae infections, three were mixed infection of P. malariae with Plasmodium falciparum and two were mixed infection of P. malariae with Plasmodium vivax. Clinically P. malariae subjects generally presented with fever and headache. However, the typical 3-day pattern of quantum malaria was not observed. The parasite density of P. malariae was significantly lower than that of P. vivax and P. falciparum. DISCUSSIONS: Plasmodium malariae may have been in existence in forest villages of central India but escaped identification due to its close resemblance to P. vivax. The results re-affirm the importance of molecular methods of testing on routine basis for efficacious control strategies against malaria.
Authors: Sweta Mishra; Praveen K Bharti; Man M Shukla; Nazia A Ali; Sher S Kashyotia; Avdhesh Kumar; Akshay C Dhariwal; Neeru Singh Journal: Pathog Glob Health Date: 2017-05-26 Impact factor: 2.894
Authors: Neeru Singh; Sunil K Chand; Praveen K Bharti; Mrigendra P Singh; Gyan Chand; Ashok K Mishra; Man M Shukla; Man M Mahulia; Ravendra K Sharma Journal: PLoS One Date: 2013-09-02 Impact factor: 3.240
Authors: Ravendra K Sharma; Mrigendra P Singh; Kalyan B Saha; Praveen K Bharti; Vidhan Jain; P P Singh; Nipun Silawat; R Patel; M Hussain; S K Chand; Arvind Pandey; Neeru Singh Journal: Indian J Med Res Date: 2015-05 Impact factor: 2.375
Authors: Paola Andrea Camargo-Ayala; Juan Ricardo Cubides; Carlos Hernando Niño; Milena Camargo; Carlos Arturo Rodríguez-Celis; Teódulo Quiñones; Lizeth Sánchez-Suárez; Manuel Elkin Patarroyo; Manuel Alfonso Patarroyo Journal: PLoS One Date: 2016-07-28 Impact factor: 3.240