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Al-Mutairat RMKF, Iqbal J, El Sayad MH, Farag HF, Kethireddy AV, Sher A, El-Taweel HA. Epidemiological characteristics and molecular identification of Plasmodium species among cases of imported malaria in Kuwait during the COVID-19 pandemic. J Parasit Dis 2024; 48:493-500. [PMID: 39145370 PMCID: PMC11319538 DOI: 10.1007/s12639-024-01686-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Accepted: 05/08/2024] [Indexed: 08/16/2024] Open
Abstract
Cases of imported malaria are reported each year in several malaria non-endemic countries, including Kuwait. PCR testing is the ideal method for identification of the infecting Plasmodium spp. The present study documented the epidemiologic characteristics of molecularly confirmed cases of imported malaria in Kuwait during the first year of COVID-19 pandemic. During the period from February 2020 to February 2021, 100 travelers with suspected malaria who had come from malaria-endemic countries of Africa (n = 60) and Asia (n = 40) were examined. Malaria diagnosis was made by microscopy of blood-stained smears and confirmed by a multiplex real-time PCR assay. Samples with discordant species identification results were sequenced. A total of 27 cases (27%) [P. falciparum, 14; P. vivax, 11; P. ovale, 1; mixed P. falciparum and P. malariae, 1] were detected, of whom 12 came to Kuwait for the first time and 15 were returning after visiting their home countries. Most of the returning travelers (12 out of 15 cases, 80%) had not received malaria chemoprophylaxis. Most cases of falciparum malaria (13/15) were Africans while most of the vivax cases (9/11) were Asians. Malaria was more common among subjects entering Kuwait for the first time (OR = 4.025, CI 1.07,15.1) and illiterates (OR = 13.8, CI 1.8,101.4). In conclusion, imported malaria caused mainly by P. falciparum and P. vivax was an ongoing problem during the COVID-19 pandemic. Travel history and education level were significant predictors of malaria among suspected cases.
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Affiliation(s)
| | - Jamshaid Iqbal
- Department of Medical Microbiology, College of Medicine, Kuwait University, Jabriya, Kuwait
| | - Mona Hassan El Sayad
- Department of Parasitology, Medical Research Institute, Alexandria University, Alexandria, Egypt
| | - Hoda Fahmy Farag
- Department of Parasitology, Medical Research Institute, Alexandria University, Alexandria, Egypt
| | - Ananthalakshmi V. Kethireddy
- OMICSRU-Research Core Facility, College of Medicine, Kuwait University, Jabriya, Kuwait
- MedGenome, 348 Hatch Drive, Foster City, CA USA
| | - Ali Sher
- Infectious Diseases Hospital Labs (IDHL), Al Jahra, Kuwait
| | - Hend Aly El-Taweel
- Department of Parasitology, Medical Research Institute, Alexandria University, Alexandria, Egypt
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Dong L, Xu Q, Shen L, Cao R, Deng X, Chen J, Jiang H, Guan M. EasyNAT Malaria: a simple, rapid method to detect Plasmodium species using cross-priming amplification technology. Microbiol Spectr 2024; 12:e0058324. [PMID: 38869308 PMCID: PMC11302059 DOI: 10.1128/spectrum.00583-24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2024] [Accepted: 05/14/2024] [Indexed: 06/14/2024] Open
Abstract
Malaria infection remains a serious threat to human health worldwide. Rapid and accurate detection technology is crucial for preventing malaria transmission and minimizing damage. We aimed to establish and validate a new rapid molecular detection method for malaria, called EasyNAT Malaria Assay, targeting Plasmodium vivax, Plasmodium falciparum, Plasmodium ovale, and Plasmodium malariae. The analytical performance of EasyNAT Malaria Assay was determined using positive materials. We identified 42 clinical samples as malaria positive and 95 negative samples. Each sample was examined by four methods: light microscopy, rapid diagnostic test, EasyNAT Malaria Assay, and digital PCR. Diagnostic accuracy and clinical performance were evaluated. The limit of detection (LOD)95% of EasyNAT Malaria was consistently 40 parasites/mL. It specifically amplified Plasmodium and performed with reliable repeatability and reproducibility. In 137 clinical samples, EasyNAT Malaria detected four more positive samples than microscopic examination and two more positive samples than rapid diagnostic test (RDT). One clinical sample was positive only under digital PCR. However, no significant differences statistically in sensitivity or specificity were observed. Compared with microscopy, the total, positive, and negative concordance rates of EasyNAT were 97.08%, 100%, and 95.79%, respectively. Enhanced diagnostic accuracy of EasyNAT Malaria in patients who had taken anti-malarial medication before their clinical appointment was observed. The EasyNAT Malaria Assay has good detection efficiency for clinical samples, presents a promising molecular detection tool in clinical practice, and is particularly suitable for rapid screening of high-risk populations in the emergency room. IMPORTANCE This study established and validated EasyNAT Malaria Assay as a promising molecular detection tool for malaria screening of high-risk populations in clinical practice. This novel isothermal amplification method may effectively facilitate the rapid diagnosis of malaria and prevent its transmission.
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Affiliation(s)
- Liu Dong
- Department of Laboratory Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Qianqian Xu
- Department of Laboratory Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Linjie Shen
- Department of Laboratory Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Ruoshui Cao
- Department of Laboratory Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Xuan Deng
- Department of Laboratory Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Jian Chen
- Department of Laboratory Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Haoqin Jiang
- Department of Laboratory Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Ming Guan
- Department of Laboratory Medicine, Huashan Hospital, Fudan University, Shanghai, China
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Yuan H, Shan W, Zhang Y, Yan H, Li Y, Zhou Q, Dong H, Tao F, Liu H, Leng P, Peng H, Ma Y. High frequency of Voltage-gated sodium channel (VGSC) gene mutations in Aedes albopictus (Diptera: Culicidae) suggest rapid insecticide resistance evolution in Shanghai, China. PLoS Negl Trop Dis 2023; 17:e0011399. [PMID: 37267343 DOI: 10.1371/journal.pntd.0011399] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2022] [Accepted: 05/22/2023] [Indexed: 06/04/2023] Open
Abstract
BACKGROUND Dengue fever is an infectious disease that is imported into Shanghai, China and requires prevention and control measures. Controlling the vector Aedes albopictus through insecticide use is a key approach to dengue control. However, the rapid evolution of insecticide resistance in Ae. albopictus has raised concerns about the failure of dengue control efforts. Knockdown resistance (kdr) caused by point mutations in the voltage-gated sodium channel (VGSC) gene is a primary mechanism of pyrethroid resistance. In this study, we investigated the kdr mutations of Ae. albopictus in Shanghai and evaluated the trend in its evolution. METHODOLOGY/PRINCIPAL FINDINGS We collected 17 populations of Ae. albopictus from 15 districts in Shanghai in 2020, extracted genomic DNA from individual mosquitoes, and amplified Domain II, III, and IV in VGSC using PCR. Following sequencing, we obtained 658 VGSC sequences. We detected the nonsynonymous mutations V1016G, I1532T, and F1534S/C/I, among which V1016G and F1534C/I were reported in Shanghai for the first time and F1534I was a novel mutant allele in Ae. albopictus. The overall mutation frequency was 84.65%, with individual mutation frequencies ranging from 46.81% to 100%, excluding the Fengxian District population, which had a frequency of 0%. The V1016G and I1532T mutation types accounted for 7.14% and 3.42%, respectively. The mutant allele at codon 1534 accounted for 63.98% of all mutations, including TCC/S (62.77%), TGC/C (1.06%), and ATC/I (0.15%). We identified and classified five intron types in Domain III by length, including A (83 bp, 12.07%), B (68 bp, 87.30%), C (80 bp, 0.16%), D (72 bp, 0.16%), and E (70 bp, 0.31%). Individuals with intron B had a significant mutation tendency at codon 1534 relative to intron A (chi-square test, p < 0.0001). We found no correlation between mutation frequency and the amount of pyrethroid used (Pearson correlation, p = 0.4755). CONCLUSIONS/SIGNIFICANCE In recent years, kdr mutations in the Ae. albopictus population in Shanghai have rapidly evolved, as evidenced by an increase in mutation types and significantly increased mutation frequency. The F1534I/ATC mutant allele was found to be a novel mutation, F1534C/TGC was reported for the first time in Shanghai, and intron B in Domain III was significantly associated with mutation frequency at codon 1534. Continuous monitoring of resistance changes and strict regulation of insecticide use are required.
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Affiliation(s)
- Hao Yuan
- Department of Naval Medicine, Naval Medical University, Shanghai, China
| | - Wenqi Shan
- Department of Naval Medicine, Naval Medical University, Shanghai, China
| | - Yuhang Zhang
- The 1st Cadet Corp, College of Basic Medical Science, Naval Medical University, Shanghai, China
| | - Hanlu Yan
- The 1st Cadet Corp, College of Basic Medical Science, Naval Medical University, Shanghai, China
| | - Yikai Li
- The 1st Cadet Corp, College of Basic Medical Science, Naval Medical University, Shanghai, China
| | - Qiuming Zhou
- Department of Naval Medicine, Naval Medical University, Shanghai, China
| | - Haowei Dong
- Department of Pathogen Biology, College of Basic Medical Sciences, Naval Medical University, Shanghai, China
| | - Feng Tao
- Department of Naval Medicine, Naval Medical University, Shanghai, China
| | - Hongxia Liu
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Peien Leng
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Heng Peng
- Department of Pathogen Biology, College of Basic Medical Sciences, Naval Medical University, Shanghai, China
| | - Yajun Ma
- Department of Naval Medicine, Naval Medical University, Shanghai, China
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Dong L, Li W, Xu Q, Gu J, Kang Z, Chen J, Xu X, Zhang X, Zhang X, Jiang H, Guan M. A rapid multiplex assay of human malaria parasites by digital PCR. Clin Chim Acta 2023; 539:70-78. [PMID: 36495929 DOI: 10.1016/j.cca.2022.12.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2022] [Revised: 11/25/2022] [Accepted: 12/01/2022] [Indexed: 12/12/2022]
Abstract
BACKGROUND Blood smear examination through traditional optical microscopy is the gold standard for malaria diagnosis. However, it imposes strict requirements for operational staff and its sensitivity cannot perfectly satisfy the needs of clinical requirements. More sensitive and accurate modern technologies should be applied to this field. Digital PCR (dPCR), as an absolute quantification detection method, can serve as an effective tool to facilitate the diagnosis and classification of different malaria species. OBJECTIVE We aimed to establish a new multiplex dPCR detection system for four main Plasmodium species: P. vivax, P. falciparum, P. ovale and P. malariae, which can distinguish exact species of malaria by one PCR reaction. METHODS A total of 39 patients were identified as malaria-positive by microscopic examination in Huashan Hospital from 2016 to 2021; seventy blood samples from these patients were collected. Additionally, 20 healthy individuals, 20 patients with fever and 6 patients with other types of blood parasites infection were also included in this study. Each blood sample was subjected to examination by both blood smears and dPCR. By optimizing four different fluorescence-labeled probes in one reaction system, dPCR permitted the performance of accurate quantitation and working out the exact number of copies of malaria DNA per microliter in whole blood. Rapid diagnostic tests were also conducted to verify part of the results obtained by dPCR. RESULTS The dPCR system was able to make rapid diagnosis and quantification of malaria DNA samples. The analytical sensitivity of multiplex dPCR was as low as 0.557 copies/μL (95% CI 0.521 to 0.607), and it had a sensitivity of 98.0% and a specificity of 100% in clinical samples. Additionally, three multiple malaria co-infection samples have been detected by this dPCR system, including one triple malaria infection case. By testing consecutive daily blood samples of Patient 39, dPCR facilitated monitoring the efficacy of drug treatment. It showed that the DNA concentrations of P. falciparum ranged from 5474 copies/μL to 0 copies/μL, which can reflect the efficacy of antimalarials in real time. This study also found that haemocyte samples (plasma removed) rather than whole blood had higher malaria detection capability and an enhanced positive rate. CONCLUSION The multiplex dPCR system newly established here made a substantial contribution in detecting malaria infection at low concentrations. It is suitable for mixed-infection diagnosis and multi-sample continuous monitoring, and presents a promising candidate as an absolute quantitative tool in clinical practice.
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Affiliation(s)
- Liu Dong
- Department of Laboratory Medicine, Huashan Hospital, Fudan University, Shanghai, 200040, PR China
| | - Weijia Li
- Department of Equipment, Huashan Hospital, Fudan University, Shanghai, PR China
| | - Qianqian Xu
- Department of Laboratory Medicine, Huashan Hospital, Fudan University, Shanghai, 200040, PR China
| | - Jianfei Gu
- Department of Laboratory Medicine, Huashan Hospital, Fudan University, Shanghai, 200040, PR China
| | - Zhihua Kang
- Department of Radiation Oncology, Rutgers Cancer Institute of New Jersey, Rutgers University, New Brunswick, USA
| | - Jian Chen
- Department of Laboratory Medicine, Huashan Hospital, Fudan University, Shanghai, 200040, PR China
| | - Xiao Xu
- Central Laboratory, Huashan Hospital, Fudan University, Shanghai, PR China
| | - Xinju Zhang
- Central Laboratory, Huashan Hospital, Fudan University, Shanghai, PR China
| | - Xiuming Zhang
- Medical Laboratory of Shenzhen Luohu Hospital Group, Shenzhen Luohu People's Hospital, Shenzhen, PR China.
| | - Haoqin Jiang
- Department of Laboratory Medicine, Huashan Hospital, Fudan University, Shanghai, 200040, PR China.
| | - Ming Guan
- Department of Laboratory Medicine, Huashan Hospital, Fudan University, Shanghai, 200040, PR China.
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Zhu M, Zhang C, Zhang Y, Wang Z, Ma X, Dai S, Chen J. An epidemiological analysis of imported malaria in Shanghai during a COVID-19 outbreak. Malar J 2022; 21:245. [PMID: 36008837 PMCID: PMC9406263 DOI: 10.1186/s12936-022-04273-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Accepted: 08/16/2022] [Indexed: 11/20/2022] Open
Abstract
BACKGROUND The goal of this study was to understand the epidemiological characteristics of imported malaria in Shanghai specifically during the epidemic period of novel corona-virus pneumonia (COVID-19), to provide a reference for preventing the transmission of imported malaria after this disease had been previously eliminated. METHODS The data of malaria cases reported in Shanghai from 2020 to 2021 were obtained from the China Information System for Disease Control and Prevention (CISDCP) and the Information System for Parasitic Disease Control and Prevention (ISPDCP). The characteristics of demographic and epidemiological distribution, travel-related information, diagnosis information, regions of infection acquisition and disposal information of epidemic situation were analysed with descriptive statistics. RESULTS A total of 112 cases of malaria were reported in Shanghai from January 2020 to December 2021. There were 18 cases and 94 cases in 2020 and 2021, respectively, reaching the lowest and highest levels in the past 10 years. The incidence of malaria associated with seasons had an increasing trend (χ2 = 81.143, P < 0.05). These cases included Plasmodium falciparum (97, 86.61%), Plasmodium vivax (4, 3.57%), Plasmodium ovale (8, 7.14%) and Plasmodium malariae (3, 2.68%). The median age of patients with malaria was 38.0 years, the majority of these individuals were males (109, 97.32%), and most of them were labour personnel (93, 83.04%). Of the reported cases, 8 of these individuals (7.14%) reported experiencing malaria symptoms before their arrival in China after their stay overseas; 97 of these individuals (86.61%) reported experiencing symptoms within 14 days after their initial arrival from overseas; 15 of these individuals (13.39%) were diagnosed with 'severe malaria'; and 4 of these individuals (3.57%) were also diagnosed with COVID-19. All cases were imported from Africa, and there were no indigenous cases and deaths. CONCLUSION Due to the impact of COVID-19, the number of imported malaria cases in Shanghai had greatly increased; however, prevention and control measures for imported malaria could be implemented to prevent re-transmission of this condition. Considering that the number of individuals returning from overseas labour is likely to increase in the next few years, it is necessary to strengthen the surveillance of imported malaria and to review the protocol for potential epidemic situations. Together, these measures could support the maintation of free-malaria status in Shanghai.
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Affiliation(s)
- Min Zhu
- Shanghai Municipal Center for Disease Control & Prevention, Shanghai, People's Republic of China.
| | - Chengang Zhang
- Shanghai Municipal Center for Disease Control & Prevention, Shanghai, People's Republic of China
| | - Yaoguang Zhang
- Shanghai Municipal Center for Disease Control & Prevention, Shanghai, People's Republic of China
| | - Zhenyu Wang
- Shanghai Municipal Center for Disease Control & Prevention, Shanghai, People's Republic of China
| | - Xiaojiang Ma
- Shanghai Municipal Center for Disease Control & Prevention, Shanghai, People's Republic of China
| | - Simin Dai
- Shanghai Municipal Center for Disease Control & Prevention, Shanghai, People's Republic of China
| | - Jian Chen
- Shanghai Municipal Center for Disease Control & Prevention, Shanghai, People's Republic of China
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