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. 2025 Aug 13;20(8):e0322765. doi: 10.1371/journal.pone.0322765

Molecular surveillance of hepatitis E virus in wastewater in Yaoundé, Cameroon

Dowbiss Meta-Djomsi 1,2,*,#, Marie Atsama-Amougou 1,3,#, Modeste Romuald Ngamaleu 1,4,5, Celestin Godwe 1,#, Martin Maidadi-Foudi 1,#, Marcel Tongo 1, Joseph Fokam 5,6,7, Charles Kouanfack 1,8,9, Ahidjo Ayouba 1,10
Editor: Janin Nouhin11
PMCID: PMC12348994  PMID: 40802610

Abstract

Background

Hepatitis E virus (HEV) is a zoonotic pathogen mainly transmitted through contaminated food or water in sub-Saharan countries, highlighting the need for environmental surveillance. This study aimed to assess the burden and molecular characterization of HEV in environmental wastewater.

Method

A community-based surveillance was conducted in Yaoundé, Cameroon, using untreated wastewater samples collected monthly from January to December 2023 from hospitals, residential sewage systems, markets, and plant watering points. Molecular phylogeny was performed on sequences from the Open Reading Frame 1 region.

Results

HEV was detected in 26.4% (19/72) of all sites, with prevalence ranging from 8.3% (1/12) in hospitals to 41.7% (5/12) in residential areas (p = 0.0022). Of the 19 positives, HEV detection was highest in specific residential areas (26.3%) and plant watering points (15.8%). Detection rates were significantly higher during the short dry season (36.8%) and long dry season (31.6%) compared to the short-wet season (21.05%) and long-wet season (10.53%) (p = 0.034). Phylogenetic analysis of the sequenced samples revealed that the detected HEV strains are closely related to Orthohepevirus C genotype C1 previously associated with rodents rather than to the classical human HEV genotypes. This finding raises important questions about possible zoonotic transmission in densely populated urban areas.

Conclusion

This is the first study to report HEV detection and genetic analysis in wastewater from the Mfoundi Division of Yaoundé, and only the second such report in Cameroon. The presence of HEV in community wastewater, especially from residential and irrigation sites, suggests widespread circulation and potential environmental and foodborne risks. The identification of HEV-C1-like strains highlights the possible role of rodents in transmission. These findings emphasize the importance of integrating wastewater surveillance into public health strategies and call for further research on zoonotic sources through a One Health lens.

Introduction

The enteric zoonotic pathogen known as the hepatitis E virus (HEV) can cause either acute or chronic viral hepatitis in humans. It is primally transmitted through contaminated water and contaminated food, or by direct contact with infected animals [1–4]. Poor sanitation in developing countries frequently contaminates water supplies with waste [5–7]. The World Health Organization (WHO) estimates that there are approximately 20 million cases of HEV annually, leading to more than 44,000 deaths and 3,000 stillbirths globally [8].

The hepatitis E virus (HEV) is a non-enveloped, single-stranded, positive-sense RNA virus belonging to the Hepeviridae family, and the Paslahepevirus genus. Its genome is approximately 7.2 kilobases (kb) in length and comprises three open reading frames (ORFs). ORF1 encodes non-structural proteins involved in viral replication, ORF2 encodes the viral capsid protein, and ORF3 encodes a small multifunctional protein associated with virus egress and host interaction [9–11]. Among the eight identified HEV genotypes (HEV-1 to HEV-8), five (HEV-1, HEV-2, HEV-3, HEV-4 and HEV-7) are known to infect humans. HEV genotype 3 (HEV-3) is zoonotic and widely distributed among both humans and animals, particularly in developed and transitional countries. The primary animal hosts of HEV-3 include pigs, rabbits, deer, and mongooses. HEV-3 is further subdivided into multiple subtypes (e.g., 3a to 3j) based on phylogenetic differences. Similarly, HEV genotype 4 (HEV-4) infects both humans and pigs. Genotypes 3, 4, and 7 exhibit zoonotic potential. Genotypes 5 and 6 have been identified in wild boars, while genotypes 7 and 8 have recently been isolated from camelids and dromedaries [9,11].

The distribution of HEV varies globally. HEV-1 is mainly found in South and Central Asia and North Africa, while HEV-2 is primarily found in Central America and West Africa. HEV-3 is widespread, and HEV-4 is mainly found in Asia and Europe. HEV-1 and HEV-2 are associated with high mortality rates, particularly during the third trimester of pregnancy, and can increase the risk of acute liver failure. In contrast, HEV-3 and HEV-4 are more prevalent in industrialized countries and can cause persistent infections in immunocompromised individuals, which may subsequently lead to accelerated progression toward liver cirrhosis. The primary modes of virus transmission are through contact with infected animals or through consumption of infected animal products or contaminated food and drink [12–16].

HEV spreads through the faecal-oral route. In less developed countries, it is commonly considered a waterborne disease, as it is often transmitted through contaminated water due to poor sanitation. However, in more developed countries, it can also be contracted by eating undercooked, contaminated meat, particularly pork [3,14,17,18]. The presence of HEV in drinking and irrigation water is a growing public health concern, as it can contaminate these vital resources. HEV has been detected in wastewater samples from several countries [16]. Previous studies have identified genotypes 1, 3, and 4 in humans and pigs, establishing Cameroon as an endemic country for HEV [19–21]. However, there is limited information on the prevalence and diversity of HEV in Cameroonian wastewater. Currently, only preliminary data is available on HEV in environmental sewage is available from the northern region, where HEV genotype 3, subtype 3a, has been detected [19]. Our aim is to evaluate the prevalence and molecular characteristics of circulating HEV strains in environmental wastewater in Yaoundé, Cameroon, by analyzing wastewater samples collected from various sites, including hospitals, markets, residential areas and irrigation systems.

Materials and methods

Study sites

This research was carried out in Yaoundé, the capital city of Cameroon, located in the Mfoundi department of the central region as described in our recent article [22]. The city covers an area of about 256 km² and is situated between latitudes 4°45’N and 4°00’N, and longitudes 11°20’E and 11°40’E. Yaoundé has a tropical climate with two main seasons: dry and wet. The city experiences a long dry season from December to February, followed by a shorter one in July and August. The rainy periods are split into two: from March to June and again from September to November. This pattern of alternating dry and wet seasons is typical of the region.

Inclusivity in global research

As a national reference laboratory for emerging and re-emerging epidemic preparedness and response, our work focuses on supporting public health efforts (S1 file). No permits were required to access the field sites.

Sampling and concentration

Untreated wastewater samples were collected monthly from various locations, including the hospital (CHUY_university hospital center), residential sewage systems (BONAS, PAPOSY, Biyem Assi, Mvog Ada), and factory water points (Diderot) [22]. The samples were taken early in the morning, between 6:00 and 6:30, using sterile tubes that were kept at temperatures between 4°C and 8°C and transported to the laboratory within six hours. In the laboratory, the samples were concentrated using the polyethylene glycol (PEG) precipitation method as described by Greening et al. in 2022 and modified by Fatawou et al. in 2023 [19,23]. Briefly, 500 mL of wastewater was pre-treated by centrifugation at 1,940 g and 4 °C for 30 minutes to minimise the presence of PCR inhibitors. The resulting supernatant was then chemically treated using a 1 mol/L NaOH solution. Next, a mixture of 39.5 mL of 22% dextran, 287 mL of 29% PEG 6000, and 35 mL of 5 M NaCl solution was added. The resulting pellet was treated with chloroform to obtain a clear sample, and Gentamicin 100 mg/mL reduce bacterial contamination.

Molecular detection and characterization of HEV

Total DNA/RNA was extracted from 200 µL of concentrated wastewater using a commercial purification kit with an inhibitor removal spin column (DaAnGene®), following the manufacturer’s instructions. 50 μL of elution buffer was used to elute the isolated nucleic acids, which were then kept at −80°C for additional analysis. The partial HEV ORF1 (Open Reading Frame 1) gene fragment (440 bp) was amplified using a heminested PCR-based assay, as previously described [4]. The extracted nucleic acid was reverse transcribed into cDNA using 10 µL of RNA and random hexamers, with the RevertAid First Strand cDNA Synthesis kit (Thermo Fisher Scientific) according to the manufacturer’s protocol. First and second-round PCR was performed using the HotStarTaq PCR kit (QIAGEN, Germany) and denatured primers DE-F4228 (ACYTTYTGTGCYYTITTT GGTCCITGGTT), DE-R4598 (CCGGGTTCRCCIGAGTGTTTCTTCCA), and DE-R4565 (GCCATGTTCCAGAYGGTGTTCCA) [24]. Gel electrophoresis on 1% agarose gels was used to separate the PCR products. Amplicons of approximately 440 bp from the second round of PCR were considered positive.

HEV Genotyping

HEV genotyping was performed by comparing Cameroonian samples with strains from other geographic regions available in GenBank, using sequencing and phylogenetic analysis.

Phylogenetic trees were constructed using the neighbor-joining method and the Kimura two-parameter model in the MEGA 10 software, based on the nucleotide sequences of the amplified gene. Sequencing was conducted using the 3730XL DNA Analyzer (Applied Biosystems). To ensure the accuracy of the phylogenetic tree analysis, bootstrap resampling was performed 1,000 times. The sequences obtained for this study were uploaded to GenBank with accession numbers PP764563 to PP764569.

Statistical analysis

Statistical analyses were performed using IBM SPSS Statistics 25.0 software. Qualitative variables were presented as frequencies, and the chi-square test was used to compare proportions, with a significance level set at p values <0.05”.

Results

HEV detection

A total of 72 wastewater samples were collected from January to December 2023. These included 12 samples from the CHUY_ university hospital center, 12 from the Diderot factory, 12 from the Mvog Ada market, and 36 from three residential wastewater treatment systems in the Mfoundi department (Bonas, Paposy, and Biyem Assi), with 12 samples taken from each site.

As shown in Table 1, HEV was detected in 26.4% (19 out of 72) of wastewater samples. Notably, HEV was identified in samples from all six study locations. The highest detection rates were observed in Bonas and Paposy, at 41.7% (05 out of 12 samples each), while the lowest rate was recorded in CHUY at 8.4% (one out of 12 samples). Biyem Assi and Diderot showed detection rates of 25% (03 out of 12 samples), while Mvog Ada’s rate was 16.7% (two out of 12 samples).

Table 1. Summary of hepatitis E virus detection at each collection site.

Sites N tested N detected % of detection
Biyem Assi 12 3 25
Bonas 12 5 41.7
CHUY 12 1 8.4
Diderot 12 3 25
Mvogada 12 2 16.7
Paposy 12 5 41.7
Total 72 19 26.4

N=Total number of samples, %= percentage.

Detection rates varied by source type. HEV was detected significantly more frequently in wastewater from residential areas than in wastewater from other sites (p = 0.0022), followed by wastewater from markets and then from hospitals. Specifically, HEV was found in wastewater from the CHUY hospital at a rate of 8.4% (1/12), from the Mvog Ada market at 16.7% (2/12) and from the Diderot plant watering point at 25% (3/12). In contrast, residential wastewater showed higher positivity rates: 25% (3/12) in Biyem Assi and 41.7% (5/12) in both Paposy and Bonas.

In this study, 52.6% (10/19) of the HEV-detectable samples exhibited a robust signal under UV illumination after electrophoresis, suggesting a higher concentration of HEV RNA. The signal intensity was assessed visually on the gel and scored on a scale from 1 to 3, where 1 indicates the weakest signal and 3 indicates the strongest. Of the samples that tested strongly positive, 30% (3/10) were from BONAS, 10% (1/10) from CHUY, 20% (2/10) from DIDEROT, 30% (3/10) from PAPOSY and 10% (1/10) from BIYEMASSI. The HEV signal detections were found at the plant watering point and in effluent from domestic sewage systems.

Seasonal distribution of HEV

The selected sites were monitored for a full year (January to December) to determine whether seasonal factors influenced the significant variation in HEV detection in wastewater. This study observed seasonal differences in HEV distribution. The highest HEV detection rates overall were recorded during the short and long dry seasons, at 36.8% (7/19) and 31.6% (6/19), respectively. By contrast, the long-wet season had a detection rate of 21.05% (4/19), while the extended wet season had the lowest rate at 10.53% (2/19) (p = 0.034). Notably, effluent from BONAS consistently showed the highest HEV detection across all seasons (Fig. 1).

Fig 1. Seasonal prevalence of HIV among sampling areas.

Fig 1

Phylogenetic analysis

The results of the phylogenetic analysis are shown in Fig 2. Out of the 10 positive samples with strong HEV RNA signals detected by nested RT-PCR, only seven (70%) produced good sequencing results. The nucleotide sequences of these seven HEV strains have been uploaded to GenBank and can be accessed using the following accession numbers: PP764563 to PP764569 (S2 table). This study involved conducting a phylogenetic analysis of HEV strains identified in various types of wastewater in the Centre Region of Cameroon, specifically in Yaoundé. This analysis compared a highly conserved 440 bp region of ORF1 with HEV strains from different geographical areas that were available in GenBank. Phylogenetic analysis of the seven sequences indicated that they all clustered with HEV-3.

Fig 2. Phylogenetic tree based on a fragment of the ORF1 region of GenBank sequences.

Fig 2

Only bootstrap values greater than 70% are shown. For each GenBank HEV strain included in the phylogenetic analysis, the accession number, host, genotype/subtype, and country of origin are provided. The strains identified in this study are outlined with a red circle and indicated by their accession number.

Discussion

This is the second report of the detection of the hepatitis E virus (HEV) genome in environmental wastewater samples in Cameroon. HEV was first detected and characterized in sewage environmental samples of the North Region in 2023 [19]. This study presents the first report on the detection and characterization of HEV in wastewater from the Mfoundi Division in Cameroon’s Centre Region. The present study provides information on the circulation of HEV in the untreated wastewater of a hospital (CHUY), a residential area (Bonas, Paposy, Biyem Assi), a market (Mvog Ada) and a plant watering point (Diderot).

In the current work, HEV was detected in all six of the selected sites with an overall detection rate of 26.4% and the detection rates of 5.3%, 10.5%, 15.8% and 26.3% for CHUY, Mvog Ada, Biyem Assi and Paposy, respectively. Consistent with other studies, we observed a higher prevalence of HEV in various types of untreated wastewater in the Mfoundi Division. Our results suggest widespread circulation of HEV in Yaoundé communities in Cameroon. Our findings are consistent with data reported in many other studies [15,16,25–27]. Notably, a high HEV detection rate was observed in wastewater from residential systems, as we found, 68% (13/19) of the samples tested positive. This observation highlights that the presence of HEV in the environment resulting from viral excretion by infected individuals may contribute to exposure risk in Cameroon. It suggests that untreated wastewater can serve as a useful tool for monitoring HEV and other enteric pathogens within the community, even during non-epidemic periods.

This study detected varying degrees of HEV RNA in different geographic locations of sample sites. The present study found that wastewater from residential systems had the highest HEV detection rate, with a global detection rate above 70%. This may be due to the large number of people, the type of residence, poor hygiene conditions and a lack of a potable water supply, as well as population density. These findings suggest that overcrowding and poor sanitation increase the risk of HEV transmission through contaminated wastewater [1,28].

It is well known that surface waters from different sources are commonly used as crop irrigation sources worldwide, which could cause HEV contamination of irrigated crops [18,29]. In the present study, HEV RNA was detected at high levels in wastewater used for irrigation (Diderot) in the Mfoundi Division. The detection of HEV in irrigation water sources and plant samples should raise concerns for the public health system and local health authorities. Our result reveals a possible foodborne transmission through crops in this area and the wide distribution of HEV RNA in Diderot strengthens the importance of HEV environmental surveillance in Cameroon. Importantly, simple and low-cost measures can be implemented to reduce the risk of infection for communities in Cameroon.

Seasonal pattern of HEV positivity was described in the literature [25,30–34] but much less is known about seasonal influences of HEV distribution in Africa, and specifically in the countries with equatorial climate seasons. In this study, a seasonal pattern of HEV RNA positivity was observed in sewage samples collected over the course of a year in the Mfoundi Division, Yaoundé, Cameroon. A high detection rate of HEV RNA was observed at all collection sites during the short (36.8%) and long (31.6%) dry seasons, while a lower positivity rate was found during the long-wet season. These findings are consistent with previous studies on HEV detection in environmental water, providing evidence that changes in climate conditions are linked to the rate of viral particle detection in environmental waters in Cameroon. [25,33]. This finding could be related to the fact that a reduction of water flow level may increase viral contamination when feces are discharged into the river. By contrast, our findings were markedly different from those reported in the Central African Republic where HEV was highly detected during rainfall season or flood in human samples from Bangui [34].

Our phylogenetic analysis of viral sequences from wastewater samples collected in Yaoundé revealed a clearly defined monophyletic cluster, suggesting that the viruses are genetically very similar. This points to the local circulation of a single variant or a group of closely related hepatitis E virus (HEV) strains. The clustering pattern aligns with what has been seen in other studies from low-sanitation environments, where wastewater reflects population-level virus circulation [35,36]. What stands out in our findings is that these sequences are more closely related to viruses from the Orthohepevirus C group particularly genotype C1 than to the classical human HEV genotypes (HEV-1 to HEV-4) [37]. Orthohepevirus C is typically associated with rodents and was, until recently, though not to infect humans. But that view has changed. A few recent studies from Europe have reported confirmed cases of human infection with HEV-C1, including in patients with acute hepatitis and weakened immune systems [38,39]. These cases suggest that this rodent-associated virus may be crossing into human populations more often than previously thought, and could be an emerging zoonotic threat.

Detecting HEV-C1-like sequences in wastewater from an urban setting like Yaoundé raises important public health questions. It’s not yet clear whether these viruses are coming from infected people or from rodent populations shedding the virus into the environment. Either way, it highlights the need for stronger surveillance especially in crowded cities where contact with contaminated water or rodent reservoirs is more likely. Given these findings, there’s a clear need to: carry out full-genome sequencing to confirm exactly which virus is circulating, explore possible animal reservoirs, particularly rodents in urban areas, and include environmental data like this in One Health strategies that link human, animal, and environmental health.

Our study has some limitations. The sample size was relatively small, and half of the sampling sites were residential areas, which might not fully represent the city’s wastewater landscape. Still, even with these constraints, our data show that wastewater can be a powerful tool for tracking enteric viruses in the population and can offer early warning signals about potential outbreaks.

We also emphasize the need for further research, particularly involving comparative sequence analysis between HEV strains detected in wastewater and those from both human and animal origins especially local swine populations. Such investigations would be crucial to elucidate the role of zoonotic transmission and to deepen our understanding of the molecular epidemiology and transmission dynamics of HEV in the region.

Conclusion

This study provides the first evidence of hepatitis E virus (HEV) detection and genetic characterization in wastewater from the Mfoundi Division in Yaoundé, Cameroon, and marks only the second report of environmental HEV in the country. HEV RNA was found in all six sampled sites, with particularly high detection rates in wastewater from residential areas and irrigation sources. These findings suggest that HEV is circulating widely in the community and that wastewater may be an important route of environmental exposure especially in areas with poor sanitation, overcrowding, and limited access to clean water. The presence of HEV RNA in irrigation water is particularly concerning, as it raises the possibility of foodborne transmission through contaminated crops. This reinforces the importance of environmental monitoring, even outside known outbreaks, as a way to detect early warning signs of viral spread in the population. Interestingly, our genetic analysis showed that the detected sequences are more closely related to Orthohepevirus C (genotype C1), which is typically found in rodents. This raises important public health questions about possible zoonotic transmission, particularly in urban settings where humans and rodents live in close proximity. Though traditionally considered non-infectious to humans, HEV-C1 has recently been linked to cases of hepatitis in Europe, suggesting it may be an emerging threat. While our study is limited by the number and type of sites sampled, it clearly demonstrates the value of wastewater surveillance in tracking the spread of enteric viruses like HEV. Going forward, more extensive sampling and genome sequencing will be needed to confirm the viral sources and clarify whether transmission involves animal reservoirs especially local rodent and swine populations. These efforts will be key to understanding how HEV circulates in Cameroon and to designing effective public health responses grounded in a One Health approach.

The findings highlight new challenges in managing and protecting watersheds, given the potential for fecal contamination from both human and animal sources. Waterborne transmission of HEV is a public health concern that should lead to the inclusion of HEV in national public health surveillance protocols as a clinically relevant pathogen

Supporting information

S1 File. Inclusivity in global research.

(PDF)

pone.0322765.s001.pdf (212.6KB, pdf)
S2 Table. Dataset.

Summarize Result of HEV from wastewater.

(PDF)

pone.0322765.s002.pdf (156.6KB, pdf)

Acknowledgments

We are grateful to the field staff from the Mfoundi Division who participated in identifying the study sites, and to the workers involved in collecting wastewater samples.

Data Availability

All relevant data are within the manuscript and its Supporting Information files.

Funding Statement

The author(s) received no specific funding for this work.

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Decision Letter 0

Janin Nouhin

14 May 2025

PONE-D-25-16759Molecular Epidemiology of hepatitis E virus in wastewater in Yaoundé, Cameroon: Toward optimal prevention and control of emerging zoonotic pathogensPLOS ONE

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Comments to the Author

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Reviewer #1: Partly

Reviewer #2: Partly

**********

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Reviewer #1: No

Reviewer #2: N/A

**********

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Reviewer #1: Yes

Reviewer #2: Yes

**********

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Reviewer #1: Yes

Reviewer #2: Yes

**********

5. Review Comments to the Author

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Reviewer #1: General comments: This study describes the detection of HEV-3 in untreated wastewater collected monthly in 2023 in Yaoundé, Cameroon. The detection rate was 26.4% (19/72) of all sites, with significant differences in distinct locations and seasons. The study is well-designed, and the topic is important; however, some results are not appropriately presented. I have the following comments that the authors may consider.

Major comments:

� The current title seems too big. Consider removing “Toward optimal prevention and control of emerging zoonotic pathogens”.

� A brief introduction of genomic structure of HEV is suggested, since ORF1 gene has been mentioned in the main text. Additionally, the authors should also mention the classification of HEV-3 subtypes.

� Statistical analysis has not been described in Material and Methods.

� Figure 1: The texts are difficult to read. Please increase the resolution.

� Table 1: What is the meaning of “positif”?

� Line 126: This reviewer does not understand “In this study, 52.6% (10/19) of the samples showed a strong signal for HEV-RNA.” How did the authors determine a strong signal for HEV-RNA? Please specify this in more detail.

� Figure 2 is difficult to comprehend. Percentage (%) should be at least indicated in the Y axis.

� What is the subtype of these HEV-3 strains circulating in this region? Furthermore, the authors should conduct sequence analysis of HEV ORF1 fragments identified in this study. For example, the sequence identifies between them.

� Figure 3: In the phylogenetic tree, rat HEV-C1 strains are very divergent thus unnecessary to be shown; in contrast, representative HEV genotypes within Paslahepevirus balayani can be included in the phylogenetic analysis. In addition, please indicate the HEV-3 subtypes on the right of the tree for a better understanding (see PMID: 29514938).

� Discussion: As introduced in line 64, HEV-1 has been detected in Cameroon previously. Also, to the knowledge of this reviewer, both HEV-1 and HEV-2 are circulating in the neighbor country Nigeria (PMID: 30352598). The authors may discuss why no HEV-1/2 has been detected in the wastewater in this study.

� Discussion, line 202: The sentence is overstated. The findings in this study does not support the hypothesis of zoonotic transmission of HEV in Cameroon, unless identical HEV sequences could be identified in both humans and animals. Please revise it.

� Notably, references 19, 22, and 23 are identical! Please ensure that the references are properly cited.

Minor comments:

� Line 47: Humans are also hosts of HEV-3. Please refer to the relevant review (PMID: 32810801).

� Line 79: This sentence is figure legend which should be removed in the main text.

� Line 92: Define “ORF”.

� Line 93: The reference 2 is irrelevant.

� Line 106: Change “readability” to “accuracy”.

� Lines 110 and 115: “hepatitis E virus” has already been defined as “HEV” earlier.

� Lines 112-114: Please define the abbreviations.

� Lines 124-125: Remove this sentence which is a Table title.

� Line 137: Remove this sentence of figure legend.

� Line 140: It should be “Figure 3”.

� Lines 148-151: Remove the figure legend in the main text.

� Unify “HEV-3” and “HEV genotype 3” throughout the manuscript.

� Line 214: Delete “(2)”.

Reviewer #2: This study illustrates the interest of wastewater based epidemiology for HEV, an enteric virus that can be transmitted zoonotically. Despite the low number of water samples analysed this study indicates the predominance of HEV genotype 3 circulation in Yaounde, Cameroon, rather than HEV genotypes 1 or 2 that are strictly found in human. This topic is interesting but the manuscript needs corrections and can be improved.

Comments

1. Methods

The region targeted in ORF1 gene for PCR detection and sequencing must be indicated. What is the limit of detection of the assay ? Wastewater can contain PCR inhibitors ; how was the analytical process controlled ?

2. Results, line 116 – 123

There are discrepancies between the text and table 1 : eg BONAS detection rate at 10.5% (2/19) line 116 and 41.7% (5/12) in Table 1; no corresponding site for 15.8% (3/19) line 116; repetitions lines 121-123

3. Results line 126 :

Is the signal intensity sufficiently reliable ? Was the signal intensity reproducible in duplicate PCR experiments ? Fig 2a is not very useful.

4. The detection rate according to the different sites could be related to the population size. A potential relationship should be analysed.

5. Phylogenetic analysis

Reference HEV sequences (Smith et al J Gen Virol 2020) must be used for determining HEV-3 subtype. This is relevant because HEV subtype 3a was previously detected in Cameroon and a comparison with HEV 3 subtypes detected in animals could provide additional informations

6. Discussion :

HEV RNA was detected in Yaounde wastewaters. The source is probably from humans infected with HEV but an animal source is also possible (eg infected pigs)? This point should be documented and discussed.

7. Discussion, lines 165-167 : Beside foodborne transmission of HEV, waterborne transmission is a possibility. However, the detection of HEV in wastewater does not prove waterborne transmission because this reflects only excretion of the virus from infected individuals.

8. References

All the references must be checked. Duplicate and triplicate were detected (eg ref 16 and 30 ; ref 19, 22 and 23 with confusion between names and surnames)

9. Figures and Table :

- Fig 1 legend must give more detail

- Fig 3 is missing

- Table 1 : a column with the sampling area should be added.

10. Minor points in introduction

- Line 41 : add contaminated food

- Line 47 : five instead of four

- Line 53 : HEV4 mainly found in Asia

- Line 55-56 : persistent infectious lead to liver cirrhosis (and not the reverse)

- Line 63 : add reference 16

**********

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Reviewer #1: No

Reviewer #2: No

**********

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PLoS One. 2025 Aug 13;20(8):e0322765. doi: 10.1371/journal.pone.0322765.r002

Author response to Decision Letter 1


2 Jul 2025

Journal requirements:

When submitting your revision, we need you to address these additional requirements.

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Thank you for the reminder. We have updated the manuscript to fully comply with PLOS ONE’s style requirements.

2. Please include a complete copy of PLOS’ questionnaire on inclusivity in global research in your revised manuscript. Our policy for research in this area aims to improve transparency in the reporting of research performed outside of researchers’ own country or community. The policy applies to researchers who have travelled to a different country to conduct research, research with Indigenous populations or their lands, and research on cultural artefacts. The questionnaire can also be requested at the journal’s discretion for any other submissions, even if these conditions are not met. Please find more information on the policy and a link to download a blank copy of the questionnaire here: https://journals.plos.org/plosone/s/best-practices-in-research-reporting. Please upload a completed version of your questionnaire as Supporting Information when you resubmit your manuscript.”

In this study, the PLOS questionnaire on inclusivity in global research was not used, as the research did not involve travel to a different country, engagement with Indigenous populations or their lands, or work with cultural artefacts. All research activities were conducted within the researchers’ own country and community.

Thank you for your comments regarding the inclusivity of global research. We appreciate the opportunity to provide more information. The completed questionnaire provides detailed information on our research practices and considerations has been included as a supplementary file in our revised manuscript. We have also completed method section lines 105-107 as follows: “Further information on scientific considerations relating to inclusivity in global research can be found in the Supporting Information. As a national reference laboratory for emerging and re-emerging epidemic preparedness and response, our work focuses on supporting public health efforts. No permits were required to access the field sites.” We would like to clarify the following points: (1) Research context: Our laboratory's role is to support national health efforts, and this research contributes to that goal. (2). Field site access: No permits were required for accessing the field sites, as wastewater samples were collected from public gutters in areas accessible to the general public. (3). Sampling activities: The sampling did not involve restricted or protected sites, and samples were not transported across state lines.

3. In your Methods section, please provide additional information regarding the permits you obtained for the work. Please ensure you have included the full name of the authority that approved the field site access and, if no permits were required, a brief statement explaining why.

To conform to the Guidance of PLOS, we have added these sentence lines 105 to 107 as follows: As a national reference laboratory for emerging and re-emerging epidemic preparedness and response, our work focuses on supporting public health efforts. No permits were required to access the field sites. In addition, identification of the sample sites has been performed in collaboration with the staff of the Mfoundi Division. We have completed the Acknowledgements section lines x to y as follows: Acknowledgments: We are grateful to the field staff from the Mfoundi Division who participated in identifying the study sites, and to the workers involved in collecting wastewater samples.

4. We noticed you have some minor occurrence of overlapping text with the following previous publication(s), which needs to be addressed: https://d.docksci.com/first-evidence-of-the-hepatitis-e-virus-in-environmental-waters-in-colombia_59f0f730d64ab2a3b992cac0.html. In your revision ensure you cite all your sources (including your own works), and quote or rephrase any duplicated text outside the methods section. Further consideration is dependent on these concerns being addressed.

Thank you for bringing the minor overlap in text to our attention. We apologise for the duplication and have revised the manuscript accordingly. Specifically, we have rewritten the affected sections to eliminate redundancy and ensure originality. We have also thoroughly reviewed the manuscript to ensure that all sources, including our own work, are properly cited.

5. Please include your tables as part of your main manuscript and remove the individual files. Please note that supplementary tables (should remain/ be uploaded) as separate "supporting information" files.

Thank you for the guidance. As suggested, the table has been incorporated into the main manuscript on page 5, and the separate file has been removed.

6. We note that your Data Availability Statement is currently as follows: [All relevant data are within the manuscript and its Supporting Information files.] Please confirm at this time whether or not your submission contains all raw data required to replicate the results of your study. Authors must share the “minimal data set” for their submission. PLOS defines the minimal data set to consist of the data required to replicate all study findings reported in the article, as well as related metadata and methods (https://journals.plos.org/plosone/s/data-availability#loc-minimal-data-set-definition). For example, authors should submit the following data:

- The values behind the means, standard deviations and other measures reported;

- The values used to build graphs;

- The points extracted from images for analysis.

Authors do not need to submit their entire data set if only a portion of the data was used in the reported study. If your submission does not contain these data, please either upload them as Supporting Information files or deposit them to a stable, public repository and provide us with the relevant URLs, DOIs, or accession numbers. For a list of recommended repositories, please see https://journals.plos.org/plosone/s/recommended-repositories. If there are ethical or legal restrictions on sharing a de-identified data set, please explain them in detail (e.g., data contain potentially sensitive information, data are owned by a third-party organization, etc.) and who has imposed them (e.g., an ethics committee). Please also provide contact information for a data access committee, ethics committee, or other institutional body to which data requests may be sent. If data are owned by a third party, please indicate how others may request data access.

Thank you for your query regarding the data availability statement. We will revise it during the review process as follows: All of the data generated or analysed during the study are included in the article. The datasets used and/or analysed during the present research project are available from the corresponding author upon reasonable request. The viral sequences are available in GenBank.

7. When completing the data availability statement of the submission form, you indicated that you will make your data available on acceptance. We strongly recommend all authors decide on a data sharing plan before acceptance, as the process can be lengthy and hold up publication timelines. Please note that, though access restrictions are acceptable now, your entire data will need to be made freely accessible if your manuscript is accepted for publication. This policy applies to all data except where public deposition would breach compliance with the protocol approved by your research ethics board. If you are unable to adhere to our open data policy, please kindly revise your statement to explain your reasoning and we will seek the editor's input on an exemption. Please be assured that, once you have provided your new statement, the assessment of your exemption will not hold up the peer review process.

We apologise for this restriction and will review the data availability statement accordingly. “Data will be made available upon request to the corresponding author”.

8. Please amend your manuscript to include your abstract after the title page.

We apologise, we have already included our abstract after the title page (Lines 28 to 54) page 2.

9. We note that Figure 1 in your submission contain [map/satellite] images which may be copyrighted. All PLOS content is published under the Creative Commons Attribution License (CC BY 4.0), which means that the manuscript, images, and Supporting Information files will be freely available online, and any third party is permitted to access, download, copy, distribute, and use these materials in any way, even commercially, with proper attribution. For these reasons, we cannot publish previously copyrighted maps or satellite images created using proprietary data, such as Google software (Google Maps, Street View, and Earth). For more information, see our copyright guidelines: http://journals.plos.org/plosone/s/licenses-and-copyright.

We require you to either (1) present written permission from the copyright holder to publish these figures specifically under the CC BY 4.0 license, or (2) remove the figures from your submission:

Thank you for your note regarding the copyright of Figure 1. We confirm that the map was created using QGIS version 3.16.0 with administrative boundary data obtained from the Humanitarian Data Exchange (HDX), which is an open-source platform (https://data.humdata.org/). As the data from HDX is openly available, we believe the map can be published under the CC BY 4.0 license.

10. Please include a copy of Table 1 which you refer to in your text on page 5.

Thank you for the guidance. As requested, table 1 has been incorporated into the main manuscript on page 7, and the separate file has been removed.

Major comments: Molecular Epidemiology of hepatitis E virus in wastewater in Yaoundé, Cameroon: Toward optimal prevention and control of emerging zoonotic pathogens

� The current title seems too big. Consider removing “Toward optimal prevention and control of emerging zoonotic pathogens”.

We agree with Reviewer #1’s comment regarding the length of the original title and support their suggestion to remove the phrase 'Towards optimal prevention and control of emerging zoonotic pathogens'. As requested, we have revised the title to: “Molecular surveillance of hepatitis E virus in wastewater in Yaoundé, Cameroon”.

� A brief introduction of genomic structure of HEV is suggested, since ORF1 gene has been mentioned in the main text. Additionally, the authors should also mention the classification of HEV-3 subtypes.

We agree with Reviewer #1’s comment regarding the brief introduction of the genomic structure of HEV, the ORF1 gene, and the classification of HEV-3 subtypes. As requested and suggested, we have modified lines 62-74 of the “Introduction” as well as updated some references as follows: “The hepatitis E virus (HEV) is a non-enveloped, single-stranded, positive-sense RNA virus belonging to the Hepeviridae family, and the Paslahepevirus genus. Its genome is approximately 7.2 kilobases (kb) in length and comprises three open reading frames (ORFs). ORF1 encodes non-structural proteins involved in viral replication, ORF2 encodes the viral capsid protein, and ORF3 encodes a small multifunctional protein associated with virus egress and host interaction [9–11]. Among the eight identified HEV genotypes (HEV-1 to HEV-8), four (HEV-1, HEV-2, HEV-3, and HEV-4) are known to infect humans. HEV genotype 3 (HEV-3) is zoonotic and widely distributed among both humans and animals, particularly in developed and transitional countries. The primary animal hosts of HEV-3 include pigs, rabbits, deer, and mongooses. HEV-3 is further subdivided into multiple subtypes (e.g., 3a to 3j) based on phylogenetic differences. Similarly, HEV genotype 4 (HEV-4) infects both humans and pigs. Genotypes 3, 4, and 7 exhibit zoonotic potential. Genotypes 5 and 6 have been identified in wild boars, while genotypes 7 and 8 have recently been isolated from camelids and dromedaries [9,11]”.

� Statistical analysis has not been described in Material and Methods.

We apologise for the absence of this part. In line with the guidance and as requested, we have added the relevant information on page 5, lines 142–145, in the 'Materials and Methods' section, as follows: 'Statistical analysis: Statistical analyses were performed using IBM SPSS Statistics 25.0 software. Qualitative variables were presented as frequencies, and the chi-square test was used to compare proportions, with a significance level set at p values <0.05”.

� Figure 1: The texts are difficult to read. Please increase the resolution. Thank you for this observation.

We apologise for this. To comply with the reviewer's request, we have increased the resolution of Figure 1, as shown below:

� Table 1: What is the meaning of “positif”?

We apologise for this misunderstanding. Here, 'positive' refers to detection; we have replaced it in lines 142 and 145 as well as in the table as follows:

lines 152-156: As shown in Table 1, HEV was detected in 26.4% (19 out of 72) of wastewater samples. Notably, HEV was identified in samples from all six study locations. The highest detection rates were observed in Bonas and Paposy, at 41.7% (05 out of 12 samples each), while the lowest rate was recorded in CHUY at 8.4% (one out of 12 samples). Biyem Assi and Diderot showed detection rates of 25% (03 out of 12 samples), while Mvog Ada's rate was 16.7% (two out of 12 samples).

Table 1: Summary of hepatitis E virus detection at each collection site

Sites N tested N detected % of detection

Biyem Assi 12 3 25

Bonas 12 5 41.7

CHUY 12 1 8.4

Diderot 12 3 25

Mvogada 12 2 16.7

Paposy 12 5 41.7

Total 72 19 26.4

N=Total number of samples, %= percentage,

� Line 126: This reviewer does not understand “In this study, 52.6% (10/19) of the samples showed a strong signal for HEV-RNA.” How did the authors determine a strong signal for HEV-RNA? Please specify this in more detail.

We apologise for this misunderstanding. To clarify, the following details have been added to lines 165–170 on page 6: In this study, 52.6% (10/19) of the HEV-detectable samples exhibited a robust signal under UV illumination after electrophoresis, suggesting a higher concentration of HEV RNA. The signal intensity was assessed visually on the gel and scored on a scale from 1 to 3, where 1 indicates the weakest signal and 3 indicates the strongest. Of the samples that tested strongly positive, 30% (3/10) were from BONAS, 10% (1/10) from CHUY, 20% (2/10) from DIDEROT, 30% (3/10) from PAPOSY, and 10% (1/10) from BIYEMASSI.

� Figure 2 is difficult to comprehend. Percentage (%) should be at least indicated on the Y axis.

Thank you for the remarks, as suggested, the detail of different percentages was added in the figure 2 as follows:

� What is the subtype of these HEV-3 strains circulating in this region? Furthermore, the authors should conduct sequence analysis of HEV ORF1 fragments identified in this study. For example, the sequence identifies between them.

Thank you for your insightful comments on our manuscript. We appreciate your suggestion regarding subtypes circulating in this region. To address this issue, we have conducted further analysis of the sequences obtained in the present study. Our analysis revealed a high degree of similarity between our sequences and those of rat hepatitis E Orthohepevirus C genotype C1, as shown in Figure 3 below; The update was added on discussion, conclusion of the manuscript section line 234-283; and in result and conclusion of abstract line 40-51.

� Figure 3: In the phylogenetic tree, rat HEV-C1 strains are very divergent thus unnecessary to be shown; in contrast, representative HEV genotypes within Paslahepevirus balayani can be included in the phylogenetic analysis. In addition, please indicate the HEV-3 subtypes on the right of the tree

Attachment

Submitted filename: Response to reviewers.docx

pone.0322765.s004.docx (657.2KB, docx)

Decision Letter 1

Janin Nouhin

11 Jul 2025

Molecular surveillance of hepatitis e virus in wastewater in yaoundé, cameroon

PONE-D-25-16759R1

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Acceptance letter

Janin Nouhin

PONE-D-25-16759R1

PLOS ONE

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Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 File. Inclusivity in global research.

    (PDF)

    pone.0322765.s001.pdf (212.6KB, pdf)
    S2 Table. Dataset.

    Summarize Result of HEV from wastewater.

    (PDF)

    pone.0322765.s002.pdf (156.6KB, pdf)
    Attachment

    Submitted filename: Response to reviewers.docx

    pone.0322765.s004.docx (657.2KB, docx)

    Data Availability Statement

    All relevant data are within the manuscript and its Supporting Information files.


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