Malaria & Vector Research Group (MVRG), Biotechnology Research Center, Pasteur Institute of Iran, Tehran, Iran.
Indian J Med Res. 2010 Jul;132:31-5.
BACKGROUND & OBJECTIVES: Species identification and information on transmission pattern of malaria parasite in any malaria endemic area is key to success for a malaria control programme. In this investigation, malaria diagnosis using molecular method was used to assess the transmission pattern of malaria parasite in three malaria endemic regions: Afghanistan, Iran and Pakistan.
Blood samples were collected from the patients presenting with vivax malaria from Afghanistan (n=108), Iran (n=200) and Pakistan (n=199). Malaria parasite detection was made by the gold standard (microscopy) and also nested-PCR assay, using 18S small sub-unit ribosomal RNA (ssrRNA) gene.
Based on microscopy method, the level of mixed infection was zero to 2.5 per cent; however, nested-PCR assay detected 6.5, 22 and 23.5 per cent mixed infections in samples collected from Afghanistan, Iran and Pakistan, respectively. The present results showed that the co-infection of P. vivax with P. falciparum was frequent in malaria endemic regions of Iran and Pakistan.
INTERPRETATION & CONCLUSION: The present data suggest the need for improving microscopy diagnosis method and the clinician should also have careful clinical observation, along with the reports on Giemsa- stained thick blood films, particularly in summer time when P. vivax is predominant. Also sharing information on transmission pattern of mixed infection among these countries may help in designing better control strategies for malaria.
在任何疟疾流行地区,对疟原虫的种属鉴定和传播模式信息的了解是疟疾控制规划取得成功的关键。在这项研究中,采用分子方法进行疟疾诊断,以评估三个疟疾流行地区(阿富汗、伊朗和巴基斯坦)的疟原虫传播模式。
从来自阿富汗(n=108)、伊朗(n=200)和巴基斯坦(n=199)的间日疟患者中采集血液样本。使用金标准(显微镜)和巢式 PCR 检测法,利用 18S 小亚基核糖体 RNA(ssrRNA)基因进行疟原虫检测。
根据显微镜方法,混合感染的水平为零至 2.5%;然而,巢式 PCR 检测法在从阿富汗、伊朗和巴基斯坦采集的样本中分别检测到 6.5%、22%和 23.5%的混合感染。本研究结果表明,在伊朗和巴基斯坦的疟疾流行地区,间日疟原虫与恶性疟原虫的合并感染较为常见。
本研究数据表明,需要改进显微镜诊断方法,临床医生还应进行仔细的临床观察,并结合对吉姆萨染色厚血膜的报告,特别是在以间日疟原虫为主的夏季。此外,分享这些国家间混合感染传播模式的信息可能有助于制定更好的疟疾控制策略。