Next Article in Journal
Echinococcus multilocularis and Other Taeniid Metacestodes of Muskrats in Luxembourg: Prevalence, Risk Factors, Parasite Reproduction, and Genetic Diversity
Previous Article in Journal
Transcriptome Profiling in Swine Macrophages Infected with African Swine Fever Virus (ASFV) Uncovers the Complex and Close Relationship with Host
Previous Article in Special Issue
The Efficiency of Commercial Immunodiagnostic Assays for the Field Detection of Schistosoma japonicum Human Infections: A Meta-Analysis
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Detection of Schistosoma mekongi DNA in Human Stool and Intermediate Host Snail Neotricula aperta via Loop-Mediated Isothermal Amplification Assay in Lao PDR

by
Takashi Kumagai
1,*,
Emilie Louise Akiko Matsumoto-Takahashi
2,3,
Hirofumi Ishikawa
1,
Sengdeuane Keomalaphet
4,
Phonepadith Khattignavong
4,
Pheovaly Soundala
4,
Bouasy Hongvanthong
5,
Kei Oyoshi
6,
Yoshinobu Sasaki
6,
Yousei Mizukami
6,
Shigeyuki Kano
2,4,
Paul T. Brey
4 and
Moritoshi Iwagami
2,4
1
Department of Parasitology and Tropical Medicine, Tokyo Medical and Dental University, Tokyo 113-8510, Japan
2
Research Institute, National Center for Global Health and Medicine, Tokyo 162-8655, Japan
3
Graduate School of Public Health, St. Luke’s International University, Tokyo 104-0044, Japan
4
Institut Pasteur du Laos, Ministry of Health, Vientiane P.O. Box 3560, Laos
5
Center of Malariology, Parasitology and Entomology, Ministry of Health, Vientiane P.O. Box 0100, Laos
6
Earth Observation Research Center, Japan Aerospace Exploration Agency (JAEA), Tsukuba 305-8505, Japan
*
Author to whom correspondence should be addressed.
Pathogens 2022, 11(12), 1413; https://doi.org/10.3390/pathogens11121413
Submission received: 25 October 2022 / Revised: 9 November 2022 / Accepted: 21 November 2022 / Published: 24 November 2022
(This article belongs to the Special Issue Advanced Diagnosis of Schistosomiasis)

Abstract

:
Schistosomiasis mekongi infection represents a public health concern in Laos and Cambodia. While both countries have made significant progress in disease control over the past few decades, eradication has not yet been achieved. Recently, several studies reported the application of loop-mediated isothermal amplification (LAMP) for detecting Schistosoma DNA in low-transmission settings. The objective of this study was to develop a LAMP assay for Schistosoma mekongi using a simple DNA extraction method. In particular, we evaluated the utility of the LAMP assay for detecting S. mekongi DNA in human stool and snail samples in endemic areas in Laos. We then used the LAMP assay results to develop a risk map for monitoring schistosomiasis mekongi and preventing epidemics. A total of 272 stool samples were collected from villagers on Khon Island in the southern part of Laos in 2016. DNA for LAMP assays was extracted via the hot-alkaline method. Following the Kato-Katz method, we determined that 0.4% (1/272) of the stool samples were positive for S. mekongi eggs, as opposed to 2.9% (8/272) for S. mekongi DNA based on the LAMP assays. Snail samples (n = 11,762) were annually collected along the riverside of Khon Island from 2016 to 2018. DNA was extracted from pooled snails as per the hot-alkaline method. The LAMP assay indicated that the prevalence of S. mekongi in snails was 0.26% in 2016, 0.08% in 2017, and less than 0.03% in 2018. Based on the LAMP assay results, a risk map for schistosomiasis with kernel density estimation was created, and the distribution of positive individuals and snails was consistent. In a subsequent survey of residents, schistosomiasis prevalence among villagers with latrines at home was lower than that among villagers without latrines. This is the first study to develop and evaluate a LAMP assay for S. mekongi detection in stools and snails. Our findings indicate that the LAMP assay is an effective method for monitoring pathogen prevalence and creating risk maps for schistosomiasis.

1. Introduction

Schistosomiasis is a neglected tropical disease (NTD), occurring mainly in tropical and sub-tropical regions, which is associated with the conditions of poverty in developing countries [1]. Schistosoma mekongi, the causative pathogen, is distributed in the southern part of the Lao People’s Democratic Republic (Laos) and the northern part of Cambodia, along the Mekong River. A risk of infection with S. mekongi was reported for around 50,000 households, comprising an estimated 150,000 people in Laos and Cambodia [2]. The intermediate host snail, Neotricula aperta, is frequently found in the Mekong River [3]. In particular, a more widespread larger-river dwelling form is found in southern Laos and northern Cambodia [4]. There are three strains of N. aperta (α-, β- and γ-strains), among which the γ-strain is the only strain capable of transmitting S. mekongi in nature [3]. The period of highest transmission, March–April, coincides with the dry season when water levels are low, with the observed snail populations reaching their maximum [3]. Most residents of the region depend on fishing and use the river water for personal hygiene and occupational, and recreational activities [3]. Schistosome re-infection has severe consequences and is associated with various complications in endemic areas [5].
In Laos, schistosomiasis mekongi has been endemic in the Khong (152 villages) and Mounlapamok (50 villages) districts of the Champasak Province. To control the disease, six rounds of preventative chemotherapy (or mass drug administration: MDA) with praziquantel were implemented in the endemic areas of Laos during the period of 1989–1998 [6]. As a result, the infection rate drastically decreased to an average of 2.1% in the Khong and 0.4% in the Mounlapamok District [6]. However, a field survey conducted by the Lao Ministry of Health with support from the WHO in 2003 revealed that the infection rate had increased again, to an average of 11% (0–47.2%) across 64 endemic communities in the Khong District [7]. The average infection rate in the Mounlapamok District was 0.7%. As a result, the Lao MoH resumed MDA to the high-risk population (5 to 60 years of age) in the two endemic districts in 2007 [3,7].
In 2017, the Lao MoH and WHO adopted goals and indicators for the elimination of schistosomiasis from the Western Pacific Region [8]. These are as follows: (a) the reduction in human infections to zero, (b) the reduction in animal infections to zero, and (c) the reduction in snail infections to zero, all by 2025. These goals are expected to eliminate schistosomiasis by 2030. In 2017, infection prevalence in Laos was below 3%, with only 0.1% being high-intensity infections. In 2018, the infection prevalence was 3.2%, but there were no patients with high-intensity infection [7].
The monitoring systems for schistosomiasis mekongi currently employed in Laos are insufficient. In fact, up-to-date information on the areas at risk of schistosomiasis is lacking. An effective monitoring system is of utmost necessity for endemic areas. Effective surveillance systems should be implemented after eliminating schistosomiasis so as to monitor and prevent its re-introduction into endemic areas [9]. The Kato–Katz microscopy-based method has been used as the golden standard for detecting S. mekongi eggs in human stool samples as a means of disease monitoring. However, the sensitivity of this method is not sufficient for detecting minor infections, which are currently predominant among patients in the endemic areas in Laos. A highly sensitive diagnostic method is, thus, urgently needed in order to monitor the prevalence and evaluate interventions in the region.
Molecular diagnostic methods for schistosomiasis mekongi have been reported using real-time PCR, but infection experiments have been performed in a laboratory and have not been tested in the field [10]. In addition, DNA detection from serum has also been reported, but the sensitivity is not sufficient [11]. Several studies have reported that a novel molecular method, the loop-mediated isothermal amplification (LAMP) assay, is useful for the detection and monitoring of schistosomiasis in endemic areas [12,13,14,15,16,17,18]. The LAMP method enabled detection in low-transmission areas and can be applied for point-of-care testing in resource-limited settings [19,20,21].
In the present study, we developed a LAMP assay for detecting the ITS1 region of S. mekongi ribosomal DNA and evaluated its detection capacity in human stool samples, comparing it to the Kato–Katz method. We also examined infection prevalence in the intermediate host snail N. aperta, collected from riversides in the endemic areas where the human stools were also collected. Based on the distribution of schistosomiasis patients and infected snails, we created a heat map that shows the infection risk within the region.

2. Materials and Methods

2.1. Study Area

One human field survey in April 2016 and three snail field surveys in April 2016, 2017, and 2018 were conducted in Don Khon, that is, Khon Island, Khong District and Champasak Province, Laos (Figure 1). In 2016, the total of villagers of each of the villages in Don Khon, Khon Neua and Khon tai in the north was 1441 (809 males and 632 females) in 234 households, while the total of villagers of Hang Khon in the south was 366 (246 males and 116 females) in 55 households. These two areas cover most of the island’s population. This island was chosen as the study area due to a high prevalence of schistosomiasis in a preliminary survey in 2015, despite the annual MDA with praziquantel. Surveys were carried out at the end of the dry season because this is the only time when snail collection is possible.

2.2. Human Stool Sampling

A total of 272 villagers from the 3 villages voluntarily participated in the study, which was announced to them by village chiefs (Figure 1). Our study team was based at two temples (Khon Neua and Khon Tai) and a school (Hang Khon) where the participants would visit us. An interview survey about lifestyle habits related to parasite infection was conducted by our team using a questionnaire form. A stool container was given to each participant after the survey, and a single stool sample was collected from each participant on the next day. Each stool sample was fixed with 70% EtOH on site, after making three slides of Kato–Katz thick smears for microscopy analysis. Samples for LAMP assays were stored at room temperature.

2.3. Snail Sampling

Three snail field surveys were conducted on Khon Island in April 2016, 2017, and 2018. The intermediate host snail N. aperta was collected at several sites along the riverside of the island (Figure 1). N. aperta was morphologically identified using stereoscopic microscopy. The total number of collected N. aperta individuals was 2862, 5900, and 3000 in 2016, 2017, and 2018, respectively. All host snail samples were fixed with 70% EtOH on site and stored at room temperature for subsequent LAMP assays.
All stool and snail samples were transported to Tokyo Medical and Dental University, Japan, after obtaining authorization for shipment from the Lao MoH.

2.4. Parasitological Tests Using the Kato–Katz Method

Three slides of the Kato–Katz thick smear were prepared from each stool sample using a commercially available Kato–Katz Stool Examination Kit (Mahidol University, Nakhon Pathom, Thailand), according to the manufacturer’s instructions. The slides were observed by experienced technicians under a microscope in order to detect S. mekongi eggs. Approximately 40 mg of stool was mounted on each slide. When one of the three slides was positive for S. mekongi eggs, the participant was considered schistosomiasis-positive, that is, a schistosomiasis mekongi patient.

2.5. DNA Extraction

For stool samples, an easy heat alkaline DNA extraction method was applied as described in a previous study, with slight modifications [12,22]. Briefly, 500 mg of the EtOH-fixed stool sample was collected from a stool container and washed with distilled water. The sample was heated in 1 mL of 50 mM NaOH at 95 °C for 1 h by vortexing the sample several times. After centrifugation at 15,000 rpm for 5 min, the supernatant was collected and diluted with distilled water 20 times the volume. The diluted DNA solution was immediately used as the template for LAMP assays.
The same DNA extraction method was used for host snail samples. In brief, the EtOH-fixed snails were washed with distilled water in a 50 mL tube. Pools of snails (50 or 200 snails per group) were crushed with scissors in 5 mL of 50 mM NaOH. The snail solution was heated to 95 °C for 1 h and centrifuged at 15,000 rpm for 5 min. The supernatant (DNA solution) was collected in 1.5 mL tubes and stored at −30 °C, until the LAMP assay was performed.

2.6. LAMP Assay

The ITS-1 region of the S. mekongi ribosomal DNA gene (GenBank accession no. U82284.1) was selected as the target sequence for LAMP detection. We designed specific primer sets (Table S1) using PrimerExplorer V5 software on the website of Eiken Chemical, Inc., Tokyo, Japan. The LAMP assay was performed using Loopamp™ DNA Amplification Reagent and Fluorescent Detection Reagent, according to the manufacturer’s instructions (Eiken Science, Tokyo, Japan). The reaction tubes were incubated at a constant temperature of 63 °C for 60 min and then at 85 °C for 5 min to stop the reaction. Positive (S. mekongi DNA) and negative (water) controls were used in each assay. Amplification of the target gene was confirmed using a fluorescence dye under UV.

2.7. Heat Mapping

High-resolution satellite images (110 km2) of Khon Island, Khong District and Champasak Province, Laos, were purchased from the JAPAN SPACE IMAGING CORPORATION (Tokyo, Japan; https://www.jsicorp.jp/en.html, accessed on 10 October 2022). The houses of the patients diagnosed via LAMP assays were plotted using a Quantum Geographic Information (QGIS) System 2.18.22 (Development Team-Open-Source Geospatial Foundation Project, 2018). We also plotted the locations at which infected snails were collected. Using the QGIS heat-map plugin, we created heat maps of S. mekongi-positive snails and humans using LAMP assays. The plugin is based on kernel density, which smoothly estimates the whole distribution of specimens. JPMAP utilizes GSMaP [23] provided by JAXA as the precipitation data and the MOD11/MYD11 products [24] provided by the National Aeronautics and Space Administration (NASA)/United States Geological Survey (USGS) as the land surface temperature (LST) data. JPMAP allows users to search for and obtain data within a selected period or area (point, a rectangle administrative area) via a user-friendly website (https://www.jpmap-jaxa.jp/jpmap/en/, accessed on 10 October 2022).

2.8. Statistical Analysis

Assessment of the S. mekongi infection rate in the host snails was followed by an exact binomial test. Fisher’s exact test and ANOVA were used to identify an association between the lifestyle of participants, including their socioeconomic status, and infection status, based on LAMP assay results. All statistical analyses were conducted using SPSS version 24.0 (SPSS Inc., Chicago, IL, USA).

3. Results

3.1. Sensitivity and Specificity of LAMP Assay Targeting S. mekongi

To date, only direct microscopic detection methods have been used to confirm S. mekongi infections in humans and snails. In this study, we developed a new approach for detecting S. mekongi infection using the LAMP method and created an infection risk map based on assay results. To achieve high sensitivity and specificity, we developed primers that target the ITS1 region of S. mekongi. The LAMP assay detection limit was 1 pg of S. mekongi DNA per reaction (Figure 2). We also confirmed that the LAMP assay did not amplify S. mansoni nor S. japonicum DNA (Figure 2). Such sensitivity is sufficient for the detection of a single miracidium of schistosomes. The specificity was also high, as the ITS1 DNA sequences of schistosomes are quite different from those of other flukes (e.g., Opisthorchis viverrini and Haplorchis taichui), which are prevalent in the same endemic areas of the Khong District, Laos.

3.2. Comparison of LAMP Detection and the Kato–Katz Method in Stool Samples

To investigate the utility of LAMP detection in the field, fecal samples were collected from residents of Don Khon, an endemic area for schistosomiasis mekongi in Lao PDR. In 2016, feces were collected from approximately 100 residents in 3 villages within Don Khon and were then subjected to detection via the Kato–Katz method (Figure 1). DNA was then extracted from the remaining feces and detected using the LAMP method. We employed an easy and cost-effective DNA extraction method, namely heat–NaOH DNA extraction [12,14,22], since we designed the LAMP system to be utilized for point-of-care testing in resource-limited settings.
Only 0.4% (1/272) of the stool samples from the Khon Tai village tested positive for S. mekongi eggs using the Kato–Katz method (Table 1). In contrast, 55.9% (152/272) of the stool samples were positive for eggs of the liver fluke O. viverrini, and 22.8% (62/210) were positive for hookworms (the species was not identified) (Table 1).
The LAMP assay results are shown in Table 1. In the Khon Neua village, 4.2% (4/96) of the stool samples were positive for S. mekongi DNA detected via the LAMP assay, whereas all the samples were negative based on Kato–Katz detection. In the Khon Tai village, 3.4% (3/89) of stool samples were positive for S. mekongi DNA versus 1.1% (1/89) via the Kato–Katz method. The Kato–Katz positive samples were also positive for S. mekongi DNA. In Hang Khon, 1.1% (1/87) of stool samples were positive for S. mekongi DNA, while the Kato–Katz method did not detect any eggs. Overall, 2.9% (8/272) of the stool samples were positive for S. mekongi DNA, as determined via the LAMP assay. Therefore, the LAMP assay exhibited sensitivity (2.9%) that was much higher than that of the Kato–Katz method (0.4%).

3.3. Large-Scale Monitoring of Snail Samples via LAMP Detection

Next, to determine the infection rates among intermediate host snails near the residential area, 2862 snails were collected at 6 breeding sites on the northeastern riverside in Don Khon during April 2016 (Table 2 and Figure 1). DNA was extracted from pooled host snails (86, 176, and 200 snails per group). LAMP assays were employed for the detection of S. mekongi DNA in the snails collected from three breeding sites (P2, P4, and P5) (Table 2). At the P2 breeding site, three positive groups were found among the seven groups. The infection rate of snails at the P2 site was calculated as 0.28%, with a 95% CI of 0.07–0.74%. Precise assessment of the infection rate could be achieved via one-by-one inspections of all snails, which would be impractical in the case of a large snail population with extremely low infection rates, as in the current study. Such cases require an alternative method for efficient infection rate estimation. This method examines a pool of snails that comprise a certain number (g) of snails crushed together, where the group composition number g satisfies the following condition: 1-(1-p max) g < 0.5 (p max being the assessed upper limit of the infection). In this area, the upper limit of S. mekongi infection in the snails (p max) was assessed to be 1% beyond the upper limit of 95% CI at the P2 breeding site in 2017, so that g = 50, that is, 50 snails were crushed together as a group, which satisfies the condition, as previously reported in the case of S. japonicum [13]. In 2017, at the P2 and P4 breeding sites, 1 positive group was found among 20 groups (1000 snails in total) and 12 groups (600 snails), respectively. Therefore, the infection rates of the P2 and the P4 sites were estimated at 0.10% with a 95% CI of 0.005–0.53% and 0.17% with a 95% CI of 0.008–0.92%, respectively (Table 2). We also conducted an experiment using 5 groups of 200 snails (1000 snails in total) simultaneously at the P2 breeding sites. The same positive rate of 0.10% (0.005–0.56%) was obtained in an experiment with 20 groups of 50 snails. In 2018, we analyzed 20 groups (1000 for each site) at 3 breeding sites (P2, P4, and P5). No positive group was found at any of the breeding sites (0/3000).

3.4. Heat Map of Infected Residents and Infected Snail Sampling Location and the Relationship between Infection and Lifestyle Habits

We plotted the location of schistosomiasis patient residences on a map, together with those of infected snail habitats from the 2016 survey. The map showed that the patients’ residences were located near the infected snail habitats (Figure 3A). In the Khon Neua and Hang Khong villages, no S. mekongi-infected snails were found, although infected patients lived there in 2016. A heat map was created based on the infection rates of both host snails and humans (Figure 3B). It suggested that the distribution of infected host snails had a strong influence on the risk of S. mekongi infection in humans. Finally, an interview survey was conducted to examine the characteristic lifestyles of residents determined as infected via LAMP assays. We found that the absence of a latrine in their house and the use of well water were correlated with S. mekongi infection (Table 3). This suggests that people living near infected snails are at risk of infection through contact with contaminated water.

4. Discussion

Lao PDR is classified as a low-schistosomiasis-transmission country, meaning that less than 1% of high-intensity infections are recorded at sentinel sites, which has been the case since 2017. The next goal is to eliminate schistosomiasis transmission by 2030 [8]. In areas with low transmission, the occurrence of an outbreak following MDA discontinuation represents a challenge for eliminating schistosomiasis. It is also necessary to monitor and control the re-introduction of schistosomiasis, even after its elimination [25,26]. However, in Laos, the current monitoring system is limited to detecting mild infection, as only the Kato–Katz stool examination method is employed for the detection of Schistosoma mekongi infection throughout the country. Therefore, highly sensitive diagnostic methods, such as LAMP and PCR assays, are urgently needed. The LAMP assay has been widely employed for the detection of various parasitic diseases, becoming a standard molecular diagnostic method due to its greater sensitivity, convenience, and cost efficiency when compared to conventional PCR [2,27,28,29,30]. Some studies have employed LAMP for the control of schistosomiasis [13,19,31].
This is the first study in Lao PDR to employ LAMP for the detection of S. mekongi DNA in stool samples from residents and from snail samples of the intermediate host Neotricula aperta. The LAMP method detected infected fecal samples with higher sensitivity than the Kato–Katz method. This is in agreement with reports on other parasitic diseases, which also confirmed the superior sensitivity achieved via LAMP [27,28,29,30]. DNA extraction using the heat alkaline method is a simple, time-efficient, and low-cost method. However, as this method extracts a large amount of DNA from feces, it was also confirmed that diluting the sample with water yields better results. We are confident that the DNA extraction and LAMP methods employed herein are worthy of becoming the standard for fecal examination.
According to previous studies, the S. mekongi infection rate among N. aperta was reported to be very low (<0.3%) [2,32,33]. Therefore, large-scale sampling of host snails was performed annually in the endemic area from 2016 to 2018. In 2016, a pool of 200 snails was subjected to LAMP assays. S. mekongi-infected snails were present at the three breeding sites (P1, P2, and P3), whereas infected snails were detected in all groups at the other two breeding sites (P4 and P5). Thus, it was difficult to precisely estimate the infection rate at the two breeding sites (P4 and P5). Therefore, in 2017, DNA extraction was performed using a pool of 50, instead of 200, snails. The results of the analysis using 20 groups of 50 snails were in agreement with observations made by checking each snail individually. The infection rate analyzed in 20 groups of 50 snails was consistent with that determined via the analysis of 5 groups of 200 snails. These results suggest that in areas where the infection rate is low, an experiment using 50 snails may be a good fit for DNA detection-based monitoring. Indeed, in areas where the infection rate is about 0.1% and there is a large population of snails, it may be more appropriate to consider pooling 200 snails.
Heat mapping of S. mekongi infection areas based on the 2016 LAMP results revealed that most schistosomiasis patients lived close to the breeding sites of infected host snails in the Khon Tai village. These results suggest that the distribution of infected host snails has a strong influence on the risk of S. mekongi infection in humans. In fact, a number of previous studies reported a close association between schistosomiasis infection and water contact [34,35,36]. However, S. mekongi-infected snails were not detected in the Khon Neua village, although four schistosomiasis patients (4/96) and many N. aperta (n = 1150) were recorded in the village. In contrast, in the Hang Khon village, no N. aperta were found along the riverside in 2016 and 2017, although one schistosomiasis patient (1/87) was reported in 2016. One possible explanation for these results is that people move or travel more frequently and at greater distances than their host snails. Thus, S. mekongi human infections may occur at places that are not near the residence of the affected person, but also in other locations, e.g., during fishing.
Furthermore, as a result of our questionnaire survey, some of the participants’ lifestyles were found to be associated with S. mekongi infection. For example, no latrines and the use of a well at home were significantly correlated with the risk of S. mekongi infection (Table 3). However, it should be noted that our survey addressed the use of latrines with a “yes” or “no” question. Therefore, there were no data on latrine usage among the participants. It also remains unknown why the use of wells at home is correlated with S. mekongi infection risk.
However, several studies have suggested that the availability of water, sanitation, and hygiene (WASH), in addition to MDA, is likely to contribute to the prevention of schistosomiasis transmission [26,35,37,38,39,40]. In the case of S. haematobium, which is distributed in Africa, the use of water from an open source for household affairs, such as cleaning and bathing/swimming, was associated with a higher prevalence of S. haematobium infection, while the infection rate was significantly lower among those who preferred using latrines [41]. Furthermore, frequent contact with unprotected water sources, not using latrines, and the lack of information on schistosomiasis were suggested to predispose school children to S. haematobium infection [42]. Our data support the conclusion that hygiene, especially regarding latrine use, is important in the prevention of S. mekongi infection, as for other schistosomiasis infections.
This is the first study to develop and evaluate a LAMP assay for detecting S. mekongi DNA in human stool and host snail samples in elimination settings, that is, low-transmission areas of schistosomiasis mekongi. Our LAMP assay was proven to be highly sensitive compared with Kato–Katz stool examination, while also offering greater ease of handling and cost efficiency when compared to conventional PCR. Taken together, the LAMP assay represents an effective molecular tool for monitoring schistosomiasis mekongi prevalence through the analysis of human stool and host snail samples to then establish infection risk maps.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/pathogens11121413/s1, Table S1: primer lists for LAMP targeting Schistosoma mekongi DNA.

Author Contributions

Conceptualization, T.K.; methodology, T.K.; software, E.L.A.M.-T.; formal analysis, T.K., E.L.A.M.-T. and H.I.; sample resources, T.K., S.K. (Sengdeuane Keomalaphetand), P.K., P.S., B.H. and M.I.; satellite resources, K.O., Y.S. and Y.M.; data curation, T.K., E.L.A.M.-T. and H.I.; writing—original draft preparation, T.K. and M.I.; writing—review and editing, P.T.B.; visualization, T.K. and E.L.A.M.-T.; supervision, T.K.; project administration, S.K. (Shigeyuki Kano) and M.I.; funding acquisition, T.K., S.K. (Sengdeuane Keomalaphetand) and M.I. All authors have read and agreed to the published version of the manuscript.

Funding

This research was partly supported by JSPS KAKENHI Grant-in-Aid for Challenging Research (Exploratory): 22K19645; SATREPS Project (JICA/AMED) for Parasitic Diseases in Laos: Development of Innovative Research Technique Epidemiology of Malaria and other Parasitic Diseases (2013–2019); SATREPS Project (JICA/AMED) for Parasitic Diseases in Laos: Project for Malaria and Neglected Parasitic Diseases Control and Elimination using Advanced Research Technique, Communication Tools and Eco-Health Education (2022–2028).

Institutional Review Board Statement

This study was approved by the National Ethics Committee for Health Research, Ministry of Health, Laos (No. 049 NIOPH/NECHR) and by the Medical School Ethics Review Committee, Tokyo Medical and Dental University (No. M2016-276).

Informed Consent Statement

Written informed consent was obtained from all participants prior to the interview and the collection of stool samples. The guardians of underage participants (<18 years) consented to their participation.

Data Availability Statement

Not applicable.

Acknowledgments

The authors would like to thank the staff members in the Champasak Provincial Health Department and Khong District Health Department for supporting the field surveys. The authors gratefully acknowledge the staff members in the health centers on Khon island, the chiefs of the villages, village health volunteers and all the study participants in the field surveys.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. WHO. Schistosomiasis and Soil-Transmitted Helminthiases: Numbers of People Treated in 2019–Schistosomiase et Géohelminthiases: Nombre de Personnes Traitées En 2019. Wkly. Epidemiol. Rec. = Relev. Épidémiologique HEBD. 2019, 95, 629–640. [Google Scholar]
  2. Ohmae, H.; Sinuon, M.; Kirinoki, M.; Matsumoto, J.; Chigusa, Y.; Socheat, D.; Matsuda, H. Schistosomiasis Mekongi: From Discovery to Control. Parasitol. Int. 2004, 53, 135–142. [Google Scholar] [CrossRef]
  3. Muth, S.; Sayasone, S.; Odermatt-Biays, S.; Phompida, S.; Duong, S.; Odermatt, P. Schistosoma Mekongi in Cambodia and Lao People’s Democratic Republic. Adv. Parasitol. 2010, 72, 179–203. [Google Scholar] [CrossRef]
  4. Attwood, S.W.; Fatih, F.A.; Campbell, I.; Upatham, E.S. The Distribution of Mekong Schistosomiasis, Past and Future: Preliminary Indications from an Analysis of Genetic Variation in the Intermediate Host. Parasitol. Int. 2008, 57, 256–270. [Google Scholar] [CrossRef]
  5. Biays, S.; Stich, A.H.R.; Odermatt, P.; Long, C.; Yersin, C.; Man, C.; Saem, C.; Lormand, J.D. Foyer de Bilharziose a Schistosoma Mekongi Redecouvert Au Nord Du Cambodge: I. Perception Culturelle de La Maladie; Description et Suivi de 20 Cas Cliniques Graves. Trop. Med. Int. Health 1999, 4, 662–673. [Google Scholar] [CrossRef]
  6. Urbani, C.; Sinoun, M.; Socheat, D.; Pholsena, K.; Strandgaard, H.; Odermatt, P.; Hatz, C. Epidemiology and Control of Mekongi Schistosomiasis. Acta Trop. 2002, 82, 157–168. [Google Scholar] [CrossRef]
  7. Khieu, V.; Sayasone, S.; Muth, S.; Kirinoki, M.; Laymanivong, S.; Ohmae, H.; Huy, R.; Chanthapaseuth, T.; Yajima, A.; Phetsouvanh, R.; et al. Elimination of Schistosomiasis Mekongi from Endemic Areas in Cambodia and the Lao People’s Democratic Republic: Current Status and Plans. Trop. Med. Infect. Dis. 2019, 4, 30. [Google Scholar] [CrossRef] [Green Version]
  8. WHO. Expert Consultation to Accelerate Elimination of Asian Schistosomiasis, Shanghai, China, 22–23 May 2017: Meeting Report. Manila: WHO Regional Office for the Western Pacific. 2017. Available online: https://apps.who.int/iris/handle/10665/259630 (accessed on 10 October 2022).
  9. Assaré, R.K.; Tra, M.B.I.; Ouattara, M.; Hürlimann, E.; Coulibaly, J.T.; N’Goran, E.K.; Utzinger, J. Sensitivity of the Point-of-Care Circulating Cathodic Antigen Urine Cassette Test for Diagnosis of Schistosoma Mansoni in Low-Endemicity Settings in Côte d’Ivoire. Am. J. Trop. Med. Hyg. 2018, 99, 1567–1572. [Google Scholar] [CrossRef]
  10. Sanpool, O.; Intapan, P.M.; Thanchomnang, T.; Sri-Aroon, P.; Lulitanond, V.; Sadaow, L.; Maleewong, W. Development of a Real-Time PCR Assay with Fluorophore-Labelled Hybridization Probes for Detection of Schistosoma Mekongi in Infected Snails and Rat Feces. Parasitology 2012, 139, 1266–1272. [Google Scholar] [CrossRef]
  11. Frickmann, H.; Loderstädt, U.; Nickel, B.; Poppert, S.; Odermatt, P.; Sayasone, S.; Van Esbroeck, M.; Micalessi, I.; Cnops, L.; Adisakwattana, P.; et al. Low Sensitivity of Real Time PCRs Targeting Retrotransposon Sequences for the Detection of Schistosoma Japonicum Complex DNA in Human Serum. Pathogens 2021, 10, 1067. [Google Scholar] [CrossRef]
  12. Kumagai, T.; Furushima-Shimogawara, R.; Ohmae, H.; Wang, T.P.; Lu, S.; Chen, R.; Wen, L.; Ohta, N. Detection of Early and Single Infections of Schistosoma Japonicum in the Intermediate Host Snail, Oncomelania Hupensis, by PCR and Loop-Mediated Isothermal Amplification (LAMP) Assay. Am. J. Trop. Med. Hyg. 2010, 83, 542–548. [Google Scholar] [CrossRef] [PubMed]
  13. Tong, Q.B.; Chen, R.; Zhang, Y.; Yang, G.J.; Kumagai, T.; Furushima-Shimogawara, R.; Lou, D.; Yang, K.; Wen, L.Y.; Lu, S.H.; et al. A New Surveillance and Response Tool: Risk Map of Infected Oncomelania Hupensis Detected by Loop-Mediated Isothermal Amplification (LAMP) from Pooled Samples. Acta Trop. 2015, 141, 170–177. [Google Scholar] [CrossRef] [PubMed]
  14. Hamburger, J.; Abbasi, I.; Kariuki, C.; Wanjala, A.; Mzungu, E.; Mungai, P.; Muchiri, E.; King, C.H. Evaluation of Loop-Mediated Isothermal Amplification Suitable for Molecular Monitoring of Schistosome-Infected Snails in Field Laboratories. Am. J. Trop. Med. Hyg. 2013, 88, 344–351. [Google Scholar] [CrossRef] [PubMed]
  15. Gandasegui, J.; Fernández-Soto, P.; Hernández-Goenaga, J.; López-Abán, J.; Vicente, B.; Muro, A. Biompha-LAMP: A New Rapid Loop-Mediated Isothermal Amplification Assay for Detecting Schistosoma Mansoni in Biomphalaria Glabrata Snail Host. PLoS Negl. Trop. Dis. 2016, 10, e0005225. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  16. Fernández-Soto, P.; Arahuetes, J.G.; Hernández, A.S.; Abán, J.L.; Santiago, B.V.; Muro, A. A Loop-Mediated Isothermal Amplification (LAMP) Assay for Early Detection of Schistosoma Mansoni in Stool Samples: A Diagnostic Approach in a Murine Model. PLoS Negl. Trop. Dis. 2014, 8, e3126. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  17. Lodh, N.; Mikita, K.; Bosompem, K.M.; Anyan, W.K.; Quartey, J.K.; Otchere, J.; Shiff, C.J. Point of Care Diagnosis of Multiple Schistosome Parasites: Species-Specific DNA Detection in Urine by Loop-Mediated Isothermal Amplification (LAMP). Acta Trop. 2017, 173, 125–129. [Google Scholar] [CrossRef] [Green Version]
  18. Caldeira, R.L.; Jannotti-Passos, L.K.; Dos Santos Carvalho, O. Use of Molecular Methods for the Rapid Mass Detection of Schistosoma mansoni (Platyhelminthes: Trematoda) in Biomphalaria spp. (Gastropoda: Planorbidae). J. Trop. Med. 2017, 2017, 8628971. [Google Scholar] [CrossRef] [Green Version]
  19. Javier, G.; Fernández-Soto, P.; Muro, A.; Barbosa, C.S.; de Melo, F.L.; Loyo, R.; de Souza Gomes, E.C. A Field Survey Using LAMP Assay for Detection of Schistosoma Mansoni in a Low-Transmission Area of Schistosomiasis in Umbuzeiro, Brazil: Assessment in Human and Snail Samples. PLoS Negl. Trop. Dis. 2018, 12, e0006314. [Google Scholar] [CrossRef]
  20. Lindholz, C.G.; Favero, V.; de Marco Verissimo, C.; Candido, R.R.F.; de Souza, R.P.; dos Santos, R.R.; Morassutti, A.L.; Bittencourt, H.R.; Jones, M.K.; St. Pierre, T.G.; et al. Study of Diagnostic Accuracy of Helmintex, Kato-Katz, and POC-CCA Methods for Diagnosing Intestinal Schistosomiasis in Candeal, a Low Intensity Transmission Area in Northeastern Brazil. PLoS Negl. Trop. Dis. 2018, 12, e0006274. [Google Scholar] [CrossRef]
  21. He, P.; Gordon, C.A.; Williams, G.M.; Li, Y.; Wang, Y.; Hu, J.; Gray, D.J.; Ross, A.G.; Harn, D.; McManus, D.P. Real-Time PCR Diagnosis of Schistosoma Japonicum in Low Transmission Areas of China. Infect. Dis. Poverty 2018, 7, 8. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  22. Gandasegui, J.; Fernández-Soto, P.; Carranza-Rodríguez, C.; Pérez-Arellano, J.L.; Vicente, B.; López-Abán, J.; Muro, A. The Rapid-Heat LAMPellet Method: A Potential Diagnostic Method for Human Urogenital Schistosomiasis. PLoS Negl. Trop. Dis. 2015, 9, 1–23. [Google Scholar] [CrossRef]
  23. Kubota, T.; Shige, S.; Hashizume, H.; Aonashi, K.; Takahashi, N.; Seto, S.; Hirose, M.; Takayabu, Y.N.; Ushio, T.; Nakagawa, K.; et al. Global Precipitation Map Using Satellite-Borne Microwave Radiometers by the GSMaP Project: Production and Validation. IEEE Trans. Geosci. Remote Sens. 2007, 45, 2259–2275. [Google Scholar] [CrossRef]
  24. Wan, Z. New Refinements and Validation of the Collection-6 MODIS Land-Surface Temperature/Emissivity Product. Remote Sens. Environ. 2014, 140, 36–45. [Google Scholar] [CrossRef]
  25. Id, J.T.; Turner, H.C.; Truscott, J.E.; Werkman, M.; Phillips, E.; Id, R.A.; Medley, G.F.; King, C.H.; Anderson, R.M. The Design of Schistosomiasis Monitoring and Evaluation Programmes: The Importance of Collecting Adult Data to Inform Treatment Strategies for Schistosoma Mansoni. PLoS Negl. Trop. Dis. 2018, 12, e0006717. [Google Scholar] [CrossRef] [Green Version]
  26. Toor, J.; Alsallaq, R.; Truscott, J.E.; Turner, H.C.; Werkman, M.; Gurarie, D.; King, C.H.; Anderson, R.M. Are We on Our Way to Achieving the 2020 Goals for Schistosomiasis Morbidity Control Using Current World Health Organization Guidelines? Clin. Infect. Dis. 2018, 66, S245–S252. [Google Scholar] [CrossRef]
  27. De Ruiter, C.M.; Van Der Veer, C.; Leeflang, M.M.G.; Deborggraeve, S.; Lucas, C.; Adams, E.R. Molecular Tools for Diagnosis of Visceral Leishmaniasis: Systematic Review and Meta-Analysis of Diagnostic Test Accuracy. J. Clin. Microbiol. 2014, 52, 3147–3155. [Google Scholar] [CrossRef] [Green Version]
  28. Oriero, E.C.; Jacobs, J.; van Geertruyden, J.P.; Nwakanma, D.; D’alessandro, U. Molecular-Based Isothermal Tests for Field Diagnosis of Malaria and Their Potential Contribution to Malaria Elimination. J. Antimicrob. Chemother. 2015, 70, 2–13. [Google Scholar] [CrossRef] [Green Version]
  29. Rahman, S.M.M.; Song, H.B.; Jin, Y.; Oh, J.K.; Lim, M.K.; Hong, S.T.; Choi, M.H. Application of a Loop-Mediated Isothermal Amplification (LAMP) Assay Targeting Cox1 Gene for the Detection of Clonorchis Sinensis in Human Fecal Samples. PLoS Negl. Trop. Dis. 2017, 11, e0005995. [Google Scholar] [CrossRef] [Green Version]
  30. Wong, Y.P.; Othman, S.; Lau, Y.L.; Radu, S.; Chee, H.Y. Loop-Mediated Isothermal Amplification (LAMP): A Versatile Technique for Detection of Micro-Organisms. J. Appl. Microbiol. 2018, 124, 626–643. [Google Scholar] [CrossRef] [Green Version]
  31. Chadsuthi, S.; Chalvet-monfray, K.; Wiratsudakul, A.; Suwancharoen, D. A Remotely Sensed Flooding Indicator Associated with Cattle and Buffalo Leptospirosis Cases in Thailand 2011–2013. BMC Infect. Dis. 2018, 18, 602. [Google Scholar] [CrossRef] [Green Version]
  32. Kitikoon, V.; Schneider, C.R.; Sornmani, S.; Harinasuta, C.; Lanza, G.R. Mekong Schistosomiasis: 2. Evidence of the Natural Transmission of Schistosoma Japonicum, Mekong Strain, at Khong Island, Laos. Southeast Asian J Trop. Med. Public Health 1973, 4, 350–358. [Google Scholar] [PubMed]
  33. Attwood SW Schistosomiasis in the Mekong Region: Epidemiology and Phylogeography. Adv. Parasitol. 2001, 50, 87–152.
  34. Grimes, J.E.; Croll, D.; Harrison, W.E.; Utzinger, J.; Freeman, M.C.; Templeton, M.R. The Roles of Water, Sanitation and Hygiene in Reducing Schistosomiasis: A Review. Parasites Vectors 2015, 8, 156. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  35. Atalabi, T.E.; Adoh, S.D.; Eze, K.M. The Current Epidemiological Status of Urogenital Schistosomiasis among Primary School Pupils in Katsina State, Nigeria: An Imperative for a Scale up of Water and Sanitation Initiative and Mass Administration of Medicines with Praziquantel. PLoS Negl. Trop. Dis. 2018, 12, e0006636. [Google Scholar] [CrossRef] [Green Version]
  36. Abdulkareem, B.O.; Habeeb, K.O.; Kazeem, A.; Adam, A.O.; Samuel, U.U. Urogenital Schistosomiasis among Schoolchildren and the Associated Risk Factors in Selected Rural Communities of Kwara State, Nigeria. J. Trop. Med. 2018, 2018, 6913918. [Google Scholar] [CrossRef]
  37. Campbell, S.J.; Savage, G.B.; Gray, D.J.; Atkinson, J.A.M.; Soares Magalhães, R.J.; Nery, S.V.; McCarthy, J.S.; Velleman, Y.; Wicken, J.H.; Traub, R.J.; et al. Water, Sanitation, and Hygiene (WASH): A Critical Component for Sustainable Soil-Transmitted Helminth and Schistosomiasis Control. PLoS Negl. Trop. Dis. 2014, 8, e2651. [Google Scholar] [CrossRef] [Green Version]
  38. Grimes, J.E.T.; Templeton, M.R. School Water, Sanitation, and Hygiene to Reduce the Transmission of Schistosomes and Soil-Transmitted Helminths. Trends Parasitol. 2016, 32, 661–664. [Google Scholar] [CrossRef]
  39. Campbell, S.J.; Biritwum, N.K.; Woods, G.; Velleman, Y.; Fleming, F.; Stothard, J.R. Tailoring Water, Sanitation, and Hygiene (WASH) Targets for Soil-Transmitted Helminthiasis and Schistosomiasis Control. Trends Parasitol. 2018, 34, 53–63. [Google Scholar] [CrossRef] [Green Version]
  40. Madon, S.; Malecela, M.N.; Mashoto, K.; Donohue, R.; Mubyazi, G.; Michael, E. The Role of Community Participation for Sustainable Integrated Neglected Tropical Diseases and Water, Sanitation and Hygiene Intervention Programs: A Pilot Project in Tanzania. Soc. Sci. Med. 2018, 202, 28–37. [Google Scholar] [CrossRef]
  41. Abou-Zeid, A.H.A.; Abkar, T.A.; Mohamed, R.O. Schistosomiasis and Soil-Transmitted Helminths among an Adult Population in a War Affected Area, Southern Kordofan State, Sudan. Parasites Vectors 2012, 5, 133. [Google Scholar] [CrossRef] [Green Version]
  42. Nyati-Jokomo, Z.; Chimbari, M.J. Risk Factors for Schistosomiasis Transmission among School Children in Gwanda District, Zimbabwe. Acta Trop. 2017, 175, 84–90. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Study areas of Don Khon (Khon Island), Champasak Province, Laos. A map of Khon Island is also presented. Red stars show the locations where stool samples were collected from the study participants in 2016. Light blue circles show sampling sites of the host snail N. aperta from 2016 to 2018. Latitude and longitude are shown in parentheses. Background satellite image: WorldView2 © [2018] Maxar Technologies.
Figure 1. Study areas of Don Khon (Khon Island), Champasak Province, Laos. A map of Khon Island is also presented. Red stars show the locations where stool samples were collected from the study participants in 2016. Light blue circles show sampling sites of the host snail N. aperta from 2016 to 2018. Latitude and longitude are shown in parentheses. Background satellite image: WorldView2 © [2018] Maxar Technologies.
Pathogens 11 01413 g001
Figure 2. Sensitivity and specificity of LAMP assay that targets the ITS1 gene of S. mekongi. The LAMP assay was able to detect 1 pg of S. mekongi DNA, but neither S. mansoni nor S. japonicum DNA was detected. The left panel shows the LAMP results under daylight. The right panel shows LAMP results obtained under UV light. Fluorescence (light green) was confirmed in the reaction tubes containing S. mekongi DNA (10 pg and 1 pg).
Figure 2. Sensitivity and specificity of LAMP assay that targets the ITS1 gene of S. mekongi. The LAMP assay was able to detect 1 pg of S. mekongi DNA, but neither S. mansoni nor S. japonicum DNA was detected. The left panel shows the LAMP results under daylight. The right panel shows LAMP results obtained under UV light. Fluorescence (light green) was confirmed in the reaction tubes containing S. mekongi DNA (10 pg and 1 pg).
Pathogens 11 01413 g002
Figure 3. Mapping of LAMP-positive residents (schistosomiasis mekongi patients) and host snails, yielding a heat map of S. mekongi infection risk. (A) All houses in Khon Island were plotted as circles on the map. The snail sampling sites were also plotted as triangles (in 2016–2018). Locations of LAMP-positive residents and host snails are shown in red on the map (LAMP data in 2016). (B) A heat map was made using the kernel density estimation based on the data of LAMP-positive residents (red) and host snails (blue). Background satellite image: WorldView2 © [2018] Maxar Technologies.
Figure 3. Mapping of LAMP-positive residents (schistosomiasis mekongi patients) and host snails, yielding a heat map of S. mekongi infection risk. (A) All houses in Khon Island were plotted as circles on the map. The snail sampling sites were also plotted as triangles (in 2016–2018). Locations of LAMP-positive residents and host snails are shown in red on the map (LAMP data in 2016). (B) A heat map was made using the kernel density estimation based on the data of LAMP-positive residents (red) and host snails (blue). Background satellite image: WorldView2 © [2018] Maxar Technologies.
Pathogens 11 01413 g003
Table 1. Comparison of LAMP method and Kato–Katz method using stool samples collected from residents of Khon Island in 2016.
Table 1. Comparison of LAMP method and Kato–Katz method using stool samples collected from residents of Khon Island in 2016.
LAMP MethodKato–Katz Method
Schitosoma mekongiS. mekongiOpisthorchis viverriniHookwormsTrichuris trichiuraTaenia sp
VillagePositiveNegativePositiveNegativePositiveNegativePositiveNegativePositiveNegativePositiveNegative
Khon Neua 4 (4.2%)9209648 (50.0%)4822 (22.9%)741 (1.0%)952 (2.1%)94
Khon Tai 3 (3.4%)861 (1.1%)8859 (66.3%)3020 (22.5%)690895 (5.6%)84
Hang Khon 1 (1.1%)8608745 (51.7%)4220 (23.0%)673 (3.4%)84087
Total8 (2.9%)2641 (0.4%)271152 (55.9%)12062 (22.8%)2104 (1.5%)2687 (2.6%)265
Table 2. Results of the snail survey on Khon Island using a large-scale LAMP method from 2016 to 2018.
Table 2. Results of the snail survey on Khon Island using a large-scale LAMP method from 2016 to 2018.
Year201620172018
Spot Total Number of Examined SnailsNumber of Positive Groups/Number of Total Groups Infection Rate (95%CI) (%) Total Number of Examined SnailsNumber of Positive Groups/Number of Total Groups Infection Rate (95%CI) (%) Total Number of Examined SnailsNumber of Positive Groups /Number of Total Groups Infection Rate (95%CI) (%)
Group Size of Snails Crushed TogetherGroup size of Snails Crushed TogetherGroup Size of Snails Crushed Together
176 or 86200 50200 50
P1200-0/10 (0~1.49)-------
P21400-3/70.28 (0.07~0.74)10001/20-0.10 (0.005~0.56) a10000/200 (0~0.36)
P2----1000-1/50.11 (0.005~0.53) b---
P31760/1-0 (0~1.69)-------
P4400-2/2not calculated—(0.13~) c6001/12-0.17 (0.008~0.92)10000/200 (0~0.36)
P5861/1-not calculated—(0.06~) c7000/14-0 (0~0.54)10000/200 (0~0.36)
P6600-0/30 (0~0.50)4000/8-0 (0~0.90)---
P7----10500/21-0 (0~0.35)---
P8----11500/23-0 (0~0.31)---
Total 2862 5900 3000
c: 95%CI lower bound a: estimated value by using a group size of 50
b: estimated value by using a group size of 200
The light gray background shows the experiments of 50 crushed snails, and the dark gray background shows those of 200 crushed snails.
Table 3. Socio-economic status and lifestyle of residents with respect to Schistosoma mekongi infection diagnosed by LAMP method.
Table 3. Socio-economic status and lifestyle of residents with respect to Schistosoma mekongi infection diagnosed by LAMP method.
VariablesTotalNegativePositivep-Value
(n = 275)(n = 267)(n = 8)
Gender 1
Female16416040.414
Male1111074
Age 1
Child (≤18)535310.508
Adult2202127
Educational status 1
No grade completed424020.849
Primary school1351314
Secondary school96942
Higher220
Occupation 1,2
Agriculture17917360.667
Housewife20191
Other 18180
Village 1
Khon Neua969240.442
Khon Tai89863
Hang Khon90891
Number of people in the household (mean SD) 36.1 (2.3)6.3 (2.2)6.0 (2.7)0.753
Family use of Mekong River 1
No322930.054
Yes2432385
Well 1
No25224750.022 *
Yes23203
Rainwater storage 1
No26826080.811
Yes770
Purchase of bottled water 1
No21320580.126
Yes62620
Latrine1
No726750.031 *
Yes2032003
Enter Mekong River 1
No484530.147
Yes2272225
1 Fisher’s exact test between the results of parasitic infection by LAMP. 2 Only participants over 20 years old (n = 212). 3 ANOVA between the results of parasitic infection by LAMP. * S.D.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Kumagai, T.; Matsumoto-Takahashi, E.L.A.; Ishikawa, H.; Keomalaphet, S.; Khattignavong, P.; Soundala, P.; Hongvanthong, B.; Oyoshi, K.; Sasaki, Y.; Mizukami, Y.; et al. Detection of Schistosoma mekongi DNA in Human Stool and Intermediate Host Snail Neotricula aperta via Loop-Mediated Isothermal Amplification Assay in Lao PDR. Pathogens 2022, 11, 1413. https://doi.org/10.3390/pathogens11121413

AMA Style

Kumagai T, Matsumoto-Takahashi ELA, Ishikawa H, Keomalaphet S, Khattignavong P, Soundala P, Hongvanthong B, Oyoshi K, Sasaki Y, Mizukami Y, et al. Detection of Schistosoma mekongi DNA in Human Stool and Intermediate Host Snail Neotricula aperta via Loop-Mediated Isothermal Amplification Assay in Lao PDR. Pathogens. 2022; 11(12):1413. https://doi.org/10.3390/pathogens11121413

Chicago/Turabian Style

Kumagai, Takashi, Emilie Louise Akiko Matsumoto-Takahashi, Hirofumi Ishikawa, Sengdeuane Keomalaphet, Phonepadith Khattignavong, Pheovaly Soundala, Bouasy Hongvanthong, Kei Oyoshi, Yoshinobu Sasaki, Yousei Mizukami, and et al. 2022. "Detection of Schistosoma mekongi DNA in Human Stool and Intermediate Host Snail Neotricula aperta via Loop-Mediated Isothermal Amplification Assay in Lao PDR" Pathogens 11, no. 12: 1413. https://doi.org/10.3390/pathogens11121413

APA Style

Kumagai, T., Matsumoto-Takahashi, E. L. A., Ishikawa, H., Keomalaphet, S., Khattignavong, P., Soundala, P., Hongvanthong, B., Oyoshi, K., Sasaki, Y., Mizukami, Y., Kano, S., Brey, P. T., & Iwagami, M. (2022). Detection of Schistosoma mekongi DNA in Human Stool and Intermediate Host Snail Neotricula aperta via Loop-Mediated Isothermal Amplification Assay in Lao PDR. Pathogens, 11(12), 1413. https://doi.org/10.3390/pathogens11121413

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop