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The Journal of Infectious Diseases logoLink to The Journal of Infectious Diseases
. 2026 Jan 28;233(4):e1046–e1055. doi: 10.1093/infdis/jiaf615

Hepatitis E Virus Infection in Patients With Chronic Liver Diseases: A Latin American Multicenter Study

Anabella Clara Fantilli 1,2, María Belén Pisano 3,4, Maribel Martínez Wassaf 5, Guadalupe Di Cola 6,7, Domingo Balderramo 8, Pablo Romagnoli 9,10, Jhon Prieto 11, Marco Arrese 12, Enrique Carrera 13, Javier Díaz Ferrer 14, Angelo Z Mattos 15, Marina Fernández 16, Grisel Maribel Britos 17,18, María Eugenia Bernaschini 19,20, Santiago A Sepúlveda 21, Juan Carlos Roa 22, Sergio Grutadauria 23, Alina Zerega 24, Melina Ferreiro 25, Esteban González Ballerga 26, Jonathan Salmon 27, Andre Boonstra 28,#, José Daniel Debes 29,30,#,✉,c, Viviana Elizabeth Ré 31,32
PMCID: PMC13127749  PMID: 41603425

Abstract

Background

Hepatitis E virus (HEV) is a major cause of acute hepatitis worldwide, yet its impact in Latin America remains underexplored. Evidence suggests that chronic liver disease (CLD) patients infected with HEV face increased risks of disease progression and mortality. The PROGINS haplotype has been proposed to influence susceptibility to HEV. This study assessed HEV infection in CLD patients from Latin America and potential associated factors, including the PROGINS haplotype.

Methods

A total of 971 individuals—784 with CLD and 187 healthy controls (HC)—from six countries (Argentina, Brazil, Chile, Colombia, Ecuador, and Peru) were analyzed for anti-HEV IgG and IgM (ELISA), HEV-RNA (RT-qPCR and nested PCR with Sanger sequencing and phylogenetic analysis), and the PROGINS haplotype (PCR).

Results

The overall anti-HEV IgG seroprevalence was 15.2%: 15.4% in CLD and 14.4% in HC, with no statistical difference. Marked geographical disparities were observed, with Chile showing the highest (45.1%) and Argentina the lowest (4.2%) anti-HEV IgG detection rates. Cirrhosis and alcohol-related liver disease (ALD) were significantly associated with higher detection rates, while neither age nor sex influenced HEV seroprevalences. PROGINS haplotype showed no significant association with HEV infection. Anti-HEV IgM and HEV-RNA were detected in 11.2% and 0.4% of participants, respectively. Phylogenetic analysis confirmed zoonotic HEV-3 circulation in the region.

Conclusions

This first multinational assessment of HEV in Latin America reveals heterogeneous seroprevalence across countries. Findings support considering HEV testing in diagnostic protocols for CLD patients particularly those with cirrhosis or ALD- when presenting with unexplained hepatic decompensation or acute hepatitis.

Keywords: HEV seroprevalence, chronic liver disease, Latin America, alcohol-related liver disease, cirrhosis


This multicenter study across six Latin-American countries reveals heterogeneous hepatitis E seroprevalence in chronic liver disease patients, with higher rates in cirrhosis and alcohol-related liver disease, confirming zoonotic HEV-3 circulation and supporting HEV testing in patients with unexplained hepatic decompensation.

Graphical Abstract

Graphical Abstract.

For image description, please refer to the figure legend and surrounding text.

ALT TEXT Infographic showing a map of South America with highlighted countries and indicated sample sizes. Participants are categorized as healthy controls or patients with chronic liver disease. The figure illustrates the study methodology, including serological and molecular testing for anti-HEV IgG and IgM, HEV RNA detection, and analysis of the PROGINS haplotype. A heat map presents anti-HEV IgG seroprevalence by country. Factors assessed for their association with HEV infection include chronic liver diseases, cirrhosis, alcoholic liver disease, age, sex, and presence of the PROGINS haplotype.


The hepatitis E virus (HEV) is one of the main causes of acute hepatitis, with an estimated 20 million infections worldwide annually [1]. HEV (species Paslahepevirus balayani) is an RNA virus from the Hepeviridae family, divided into eight genotypes, of which genotypes 1 to 4 (HEV-1, HEV-2, HEV-3, and HEV-4) are most significant in human disease [2]. HEV-1 and HEV-2, transmitted through the fecal-oral route, circulate in endemic regions and cause large outbreaks, particularly in Asia, Africa, and Central America. In contrast, HEV-3 and HEV-4, primarily zoonotic, cause sporadic or clustered cases in resource-rich regions such as Europe, North America, and Japan [2]. Each genotype has been classified into subtypes and, for HEV-3, Smith et al. (2020) proposed two clades (abchijklm and efg) [3].

Most studies on HEV epidemiology originate from Europe, the Middle East, and North Africa [4]. In Latin America, HEV circulation has been reported mainly in Brazil and Argentina, with seroprevalence estimates ranging from 0% to 66.3%, depending on population group, country, and assay. Higher rates are observed among HIV-infected individuals, transplant recipients, patients on hemodialysis, and those with cirrhosis compared with healthy individuals [4, 5]. HEV-3 remains the most frequently detected genotype in human, animal, and environmental samples [5, 6]. Nevertheless, HEV remains underexplored in Latin America, where it is rarely included in national diagnostic algorithms and testing capacity is limited. This, combined with low clinical awareness, has likely led to substantial underreporting and limited understanding of HEV epidemiology in the region [5].

HEV-3 infections are often asymptomatic and subclinical, and the infection is primarily zoonotic and foodborne. Major risk factors include consumption of undercooked pork or game meat and contact with infected animals [2]. However, they pose significant risks to vulnerable populations, including immunocompromised individuals and patients with chronic liver diseases (CLD) [2]. In CLD patients, HEV infection can result in severe outcomes, including acute-on-chronic liver failure (ACLF) or progression to chronic hepatitis E. Additionally, HEV infection may accelerate pre-existing liver conditions and increase mortality risk [2, 7–9]. Only four publications from Latin America, from Argentina and Brazil, have reported HEV seroprevalences among CLD patients [10–13]. Moreover, two HEV-related-ACLF cases have been reported: one in Peru [14] and one in Argentina [15].

Several host factors, including immunosuppression, pregnancy, and genetic predisposition, have been identified as determinants of HEV infection severity and mortality [2, 16]. Among them genetic variations in the progesterone receptor (PR) gene stand out [16]. PROGINS haplotype -consisting of a 320-bp insertion in intron G and point mutations in exons 4 and 5- is associated with reduced transcript levels and lower progesterone response, altering its immune-regulatory effects [16]. PROGINS has been linked to increased HEV susceptibility [17], and higher risk of acute hepatitis and liver failure in HEV-infected pregnant women [16] and immunocompromised individuals, such as HIV-positive and liver transplant recipients, with controversial results [17–19]. Currently no data exist on PROGINS presence in CLD patients and its possible link to HEV infection.

This study used a large sample databank from six Latin American countries through the ESCALON project (H2020/825510) to investigate HEV infection in CLD patients and identify potential associated factors, including the PROGINS haplotype.

METHODS

Samples

We analyzed 971 patients from Latin America. Among these, 784 samples were from individuals with CLD, recruited from six South American countries as part of the ESCALON consortium (www.escalon.eu) between 2019 and 2023 in major hospitals: Argentina (n = 224 from Cordoba and Buenos Aires), Brazil (n = 69 from Porto Alegre), Chile (n = 115 from Santiago), Colombia (n = 259 from Bogotá), Ecuador (n = 61 from Quito), and Peru (n = 56 from Lima). Additionally, 187 samples from healthy controls (HC) were collected in Argentina, Brazil, Chile, and Colombia.

The sample size of individuals from each country for all participant groups including CLD and HC is described in Supplementary Table 1.

Briefly, recruitment of patients and HC for the ESCALON project was based on sample availability. Individuals aged 18 years or older with CLD of various etiologies were included, comprising metabolic dysfunction–associated steatotic liver disease (MASLD) (n = 406), alcohol-related liver disease (ALD) (n = 157), viral hepatitis (chronic hepatitis B and/or C) (n = 143), and other etiologies (n = 128). Some patients presented multiple etiologies and were also classified as having hepatocellular carcinoma (HCC) and/or cirrhosis (Supplementary Table 2). The ESCALON diagnostic criteria are described in Goble et al., 2023 [20]. HC, defined as individuals without CLD, were matched to the CLD cohort by age distribution.

Clinical information regarding age, sex, CLD etiology and comorbidities was obtained from the ESCALON REDCap database [21, 22].

Pre-existing comorbidities included diabetes (n = 261), hypertension (n = 287), renal disease (n = 23), dyslipidaemia (n = 120), coronary disease (n = 42), and others (n = 451).

Serological Tests

Anti-HEV IgG and IgM antibodies were tested by third-generation ELISA (Diapro, Italy; specificity ≥98%, sensitivity ≥98%). Results were based on the sample (S)/cut-off (CO) ratio: < 0.9 negative, 0.9–1.1 equivocal, > 1.1 positive. All samples were tested for anti-HEV IgG, and IgM was assessed in positive or equivocal samples.

HEV Molecular Detection, Genotyping, and Phylogenetic Analysis

A subset of samples (n = 561), stored under conditions suitable for molecular biology analyses and with sufficient volume for nucleic acid extraction, were tested for HEV RNA regardless of serological status. RNA/DNA Mini Kit (Thermo Fisher). HEV RNA detection targeted ORF-3 (70 bp) via real-time RT-PCR (TaqMan® Fast, Applied Biosystems) [23]. RNA-positive samples were further analyzed by RT-nested PCR for ORF-2 (348 bp) and ORF-1 (287 bp). cDNA synthesis used ImProm-II reverse transcriptase (Promega), and PCR products were sequenced by Sanger on a Genetic Analyzer 3500×L (Applied Biosystems).

Phylogenetic analysis used 750 ORF-2 sequences (342 bp), including this study's isolate (GenBank PQ310681) and HEV-3 clade abchijklm sequences available until January 2024. Analyses were performed in IQ-TREE v2.1 [24] using maximum likelihood with SH-aLRT (1000) and ultrafast bootstrap (10 000) for robustness.

PROGINS Detection in CLD Patients

Genomic DNA was extracted from whole blood. Among anti-HEV IgG-positive CLD patients, 98 samples were analyzed for PROGINS haplotype, and IgG-negative CLD patients (n = 119) were also included, depending on whole blood sample availability.

DNA was isolated from 2 mL whole blood using the Gentra Puregene kit (Qiagen). PCR with specific primers detected PROGINS haplotype [25], identifying homozygous wild type (WT), homozygous mutant, or heterozygous. Patients were grouped as PROGINS carriers (homozygous and heterozygous) or non-carriers (homozygous WT).

Statistical Analyses

Proportions with 95% confidence intervals (CIs) were calculated for dichotomous variables. Median and interquartile ranges (IQR) were reported for age. Recent HEV infection was defined by positive IgM and/or RNA.

Seroprevalence across groups was assessed using generalized linear mixed models (GLMM) with binomial responses and logit link functions. Geographical regions were included as random effects, while age and sex were fixed effects. Comorbidity was excluded, as it did not improve model fit, assessed by Likelihood Ratio Test (LRT). Categorical variable significance was also tested via LRT.

Log-linear models assessed seroprevalence across countries; Fisher's Exact Test compared IgG seroprevalence by CLD/HC status. Holm-adjusted P-values were used for multiple comparisons. Association with PROGINS was analyzed with GLMM and Fisher's test.

Odds ratios with 95% CIs were reported. P-values <.05 were considered significant. Analyses were conducted in R.

Ethics Statement

The study was conducted according to the guidelines of the Declaration of Helsinki (1964, amended 2008), and approved by the Ethics Committee RePIS-3817, Ministry of Health of Córdoba, Argentina, and each participating center obtained local ethical approval. Written informed consent was obtained from all participants enrolled in the ESCALON project, which included the investigation of hepatotropic viruses as potential risk factors for CLD.

RESULTS

Demographic and Baseline Characteristics of the Study Cohort

A total of 971 individuals from six Latin American countries were included. The main characteristics are summarized in Table 1. Of the 784 CLD patients, 627 (80.0%) had cirrhosis and 215 (27.4%) HCC. Baseline information by country is detailed in Supplementary Table 2.

Table 1.

Baseline Characteristics and Anti-HEV IgG Seroprevalence of Patients With CLD and HC

Cohort N
(%)
Age (median, IQR) Sex (n, % Male) Anti-HEV IgG + (n, %) [95% CI]
Overall 971 (100.0) 63.0, 14.0 458/971, 47.2 148/971, 15.2 [13.0–17.6]
CLD 784/971
(80.7)
63.0, 12.2 425/784, 54.2 121/784, 15.4 [13.0–18.1]
Cirrhosis 627/784
(80.0)
64.0, 12.0 359/627, 57.3 117/627, 18.7 [15.7–21.9]
HCCa 215/784
(27.4)
67.0, 11.0 139/215, 64.7 33/215, 15.3 [10.8–20.9]
HC 187/971
(19.3)
61.4, 20.5 33/187, 17.6 27/187, 14.4 [9.7–20.3]

Abbreviations: 95% CI, 95% confidence interval for proportions; CLD, chronic liver disease; HC, healthy controls; HCC, hepatocellular carcinoma; IQR, interquartile range.

a89.8% (193/215) of HCC patients also had cirrhosis.

Anti-HEV IgG Seroprevalences Across Latin American Countries

The overall anti-HEV IgG seroprevalence was 15.2%: 15.4% in CLD and 14.4% in HC, with no statistical differences (Table 1). When stratified by country, the highest seroprevalence was observed in Chile at 45.1% (73/162, 95% CI 37.2–53.1), and the lowest in Argentina (4.2%, 12/283, 95% CI 2.7–8.2). Figure 1 shows seroprevalences in HC and CLD by country.

Figure 1.

Map of South America showing anti-HEV IgG seroprevalence in chronic liver disease patients and healthy controls across six countries. Each country is labeled with sample size and prevalence percentages. Bar graphs display prevalence by group with confidence intervals.

Overall anti-HEV IgG seroprevalences in HC and CLD patients from each country. Numbers above bars indicate specific seroprevalence for each group; error bars indicate 95% Confidence Intervals. Fisher's Exact Test was used to compare anti-HEV IgG seroprevalence between CLD patients and healthy controls, but no statistically significant differences were observed. CLD, chronic liver diseases; HC, healthy controls.

Higher IgG rates were found in CLD compared with HC in all countries with both groups, except Colombia, where HC exceeded CLD. However, differences were not statistically significant (Figure 1).

Regional variations were significant: odds of being IgG-positive were higher in Chile than all others (P < .001). Argentina had significantly lower odds than other countries except Colombia. This pattern was consistent overall and within CLD and HC groups.

Association of Clinical and Demographic Variables With Anti-HEV IgG Seroprevalence

Individuals with cirrhosis showed higher IgG rates (18.7%; 117/627) than those without (3.8%; 6/157). Odds of being IgG + were 3.07 times higher in patients with cirrhosis compared with patients with CLD without cirrhosis (P = .01) (Figure 2; Supplementary Table 3). Considering cirrhosis and its etiology simultaneously significantly affected HEV seroprevalence (LRT X2 = 13.2, P = .004; Supplementary Table 4). Anti-HEV IgG detection rates were higher in alcohol-related cirrhosis patients (20.9%, OR 5.03) than in individuals with non-cirrhotic CLD of other etiologies (3.9%, P = .001) (Figure 2). Subgroup analysis considering only CLD patients, showed cirrhosis (LRT X²=4.2, P = .039) and ALD (LRT X²=4.5, P = .033) significantly influenced IgG seroprevalence (Table 2).

Figure 2.

Multi-panel figure showing anti-HEV IgG seroprevalence and statistical comparisons across liver disease categories. Panel A includes three bar graph sections: Section I compares healthy controls and patients with different liver disease etiologies. Section II compares individuals with and without cirrhosis and healthy controls. Section III compares individuals with cirrhosis and alcoholic liver disease, cirrhosis without alcoholic liver disease, and patients with chronic liver diseases without cirrhosis or alcoholic liver disease, and healthy controls. Bars are labeled with prevalence percentages and confidence intervals. Panel B presents forest plots showing odds ratios with confidence intervals and P-values for sex, age, and chronic liver disease categories.

(A): Overall anti-HEV IgG seroprevalence in the total study population (15.2%) and stratified by different categories: (I) CLD etiologies and HC individuals; (II) individuals with cirrhosis (CR) and without cirrhosis (non-CR) and HC group; and (III) individuals with and without CR alongside ALD etiology and HC individuals (Non-CR/ALD group was not included due to low sample size). Numbers above bars indicate specific seroprevalence for each group; error bars indicate 95% CIs. (B): Odds ratios derived from binomial GLMMs, with 95% CIs and P-values. HC, healthy controls; ALD, alcoholic liver disease; non-ALD, patients without alcoholic liver disease; MASLD, metabolic dysfunction–associated steatotic liver disease; CR, cirrhosis; non-CR, patients without chirrosis; CR/ALD, patients with cirrhosis and alcoholic liver disease; CR/Non-ALD, patients with cirrhosis and without alcoholic liver disease; Non-CR/Non-ALD, patients without chirrosis or alcoholic liver disease; 95% CI, 95% confidence interval for proportions; OR, odds ratios; GLMM (generalized linear mixed model). αP-values were obtained from LRT tests applied within binomial GLMMs with logit link functions. P-values <.05 were considered significant.

Table 2.

Analysis of Deviance of the Binomial Generalized Linear Mixed Models for the Effect of Sex, Age, the Presence of ALD and Cirrhosis as Fixed Effects, and Geographical Region as Random Effect, on Anti-HEV IgG Seroprevalences Among CLD Patients

Variable AIC LRT X2 P Valuea
Age 569.1 2.3 .129
Sex 567.9 1.0 .305
ALD 571.4 4.5 .033 *
Cirrhosis 571.1 4.2 .039 *

Abbreviations: AIC, Akaike information criterion; ALD, alcoholic liver disease; LRT, Likelihood Ratio Test.

a P-values were obtained from LRT tests applied within binomial GLMMs with logit link functions. * P-values <.05 were considered significant.

When CLD patients were reclassified by ALD status, ALD significantly influenced HEV seroprevalence (LRT X² = 7.4, P = .024; Supplementary Table 5). ALD patients had higher rates (20.4%) than HC (14.4%) and non-ALD (14.5%) (Figure 2). Pairwise comparisons showed ALD patients had 2.45 (P = .018) and 2.1 (P = .022) times higher odds of being IgG + than HC and non-ALD, respectively (Supplementary Table 5).

Overall, GLMMs consistently identified ALD and cirrhosis as factors associated with a higher risk of HEV infection, while age and sex had no significant effects.

HCC patients had anti-HEV IgG seroprevalence of 15.3% (Table 1), with no significant differences compared with patients with cirrhosis or HC.

Recent HEV Infections

Overall anti-HEV IgM positivity was 11.2% (20/179, 95% CI 7.1–16.9). All these individuals were also anti-HEV IgG+. Mean age was 63 (IQR 9), 60.0% male, and 55.0% were from Chile. IgM positivity was 9.4% (14/149, 95% CI 5.4–15.6) in CLD patients—78.6% male, 42.8% from Chile, median age 60- and 20.0% (6/30, 95% CI 8.4–39.1) in HC −16.7% male, 66.7% from Chile, median age 61 (Supplementary Table 6).

Of 561 patients analyzed by real-time-RT-PCR, two were RNA-HEV positive (0.4%, 95% CI .0–1.4), both males from Buenos Aires, Argentina, with cirrhosis and HCC, negative for IgG and IgM. One was coinfected with HCV and had ALD, the other had hemochromatosis. Both presented jaundice, high bilirubin levels and normal transaminases (Supplementary Table 6). One was RT-nested PCR positive and sequenced.

Phylogenetic Analysis

The isolated sample belonged to HEV-3, clade abchijklm, and grouped with high branch support (99.8% SH-aLRT/100.0% UFB) with sequences from Brazil and provinces of Argentina (Buenos Aires, Salta, and Cordoba), from various years and matrices (swine, wastewater, clinical samples, and recreational water) (Figure 3).

Figure 3.

Maximum likelihood phylogenetic tree of HEV-3 sequences based on the ORF-2 genomic region. Samples are annotated by clade, country, province, and source type. The sequence from this study is highlighted and shown within a zoomed-in subtree.

Maximum likelihood phylogenetic tree based on ORF-2 genomic region (length = 342 bp) of HEV-3 (reference sequences from clades abchijklm in red and efg in yellow). The monophyletic group that includes the sequence isolated from the sample of this study (highlighted and indicated with a *), is shown with more detail (99.8% SH-aLRT and 100.0% UFB supports for the group).

Association Between PROGINS Status and HEV Infection

Of the 98 IgG-positive patients, 20.4% were PROGINS carriers. In comparison, 25.2% of the IgG-negative patients were PROGINS carriers. Baseline characteristics of patients, categorized by PROGINS status and HEV serology, are summarized in Table 3.

Table 3.

Baseline Characteristics of Patients Analyzed by PROGINS and HEV Status

Characteristic Anti-HEV IgG + (n, %) [95% CI] Anti-HEV IgG− (n, %) [95% CI] TOTAL
(n, %) [95% CI]
PROGINS carriers 20/98, 20.4 [13.2–30.0] 30/119, 25.2 [17.9–34.2] 50/217, 23.0 [17.7–29.3]
Age (median, IQR) 64.0, 8.5 62.0, 14.0 62.5, 13.7
Sex (n, % male) 9/20, 45.0 15/30, 50.0 24/50, 48.0
Non-PROGINS carriers 78/98, 79.6 [70.0–86.8] 89/119, 74.8 [65.8–82.1] 167/217, 76.9 [70.7–82.3]
Age (median, IQR) 64.0, 11.0 64.0, 11.0 64.0, 12.0
Sex (n, % male) 50/78, 64.1 41/89, 46.1 91/167, 54.5
TOTAL 98 119 217
Age (median, IQR) 64.0, 11.0 63.0, 13.5 63.0, 12.0
Sex (n, % male) 59/98, 60.2 56/119, 47.1 115/217, 53.0

Abbreviations: 95% CI, 95% confidence interval for proportions; IQR, interquartile range.

The GLMM showed no association between the PROGINS haplotype and HEV infection in this cohort. When analyzing the association between the PROGINS haplotype and HEV infection within each country individually, no statistically significant association was observed (data not shown).

DISCUSSION

This multicenter study examined anti-HEV IgG prevalence across several Latin American countries, analyzing healthy controls and individuals with CLD of various etiologies. We used the same seroassay for anti-HEV IgG and IgM detection, ensuring uniform test results across cohorts and offering insights into HEV circulation where data have been scarce. Moreover, this study provides details on the molecular epidemiology of the virus and genetic analysis of potential predispositions. To our knowledge, it represents the first report among CLD patients in Chile, Colombia, and Peru, the first documented HEV epidemiology from Ecuador, and the first comprehensive study from Latin America.

In our study, CLD presence was not significantly associated with higher anti-HEV IgG seropositivity, either overall or by country. This contrasts with reports linking CLD to impaired immune function and greater vulnerability to other hepatitis infections, including HEV [7]. Studies in China, Vietnam, Nepal, France, the UK, Taiwan, and the United States have shown higher HEV seroprevalence and mortality among CLD patients compared with the general population [7, 8, 26, 27].

Similarly, studies from Cameroon and China reported higher anti-HEV IgG prevalence among HCC patients than in those with CLD without HCC or healthy controls [28, 29]. In contrast, our results did not show a significant association between HCC and HEV seroprevalence, consistent with reports that also failed to demonstrate a clear link [30, 31]. Notably, nearly 90% of HCC patients in our study also had cirrhosis, making it difficult to assess whether HCC itself is independently associated with HEV infection.

The absence of a marked difference in HEV seroprevalence between CLD patients—including those with HCC—and HC should be interpreted with caution, as it may reflect factors such as variability in immune response, cohort heterogeneity, and sample size limitations.

Significant disparities in seroprevalence were observed among countries, with Chile exhibiting substantially higher odds of anti-HEV IgG positivity. Previous studies on anti-HEV IgG seroprevalence in Latin America over the past decade, focused on general populations and blood donors, have reported wide ranges. In Brazil, the most studied country in the region, rates differ widely between the North (0.9%) and South (65.5%) [6]. Argentina has reported lower rates, from 4% to 16.7% in the general population [5]. Limited data exist for Colombia, Chile, and Peru, with HEV seroprevalence in blood donors reaching 30.1% in Chile [32] and 45.2% in Colombia's Antioquia region [33]. Peru has recently reported 14.3% in general population [34], and for Ecuador, no prior data were available. Remarkably, the highest and lowest seroprevalence values were observed in neighboring countries, Chile and Argentina. While age and sex were not significantly associated with HEV positivity, the contrast may reflect regional dietary and cultural practices. In particular, as a coastal country, Chile likely has higher consumption of seafood, which has been reported as a potential transmission route for HEV [2], and combined with differences in food preparation, water sources, and potential exposure to livestock, these factors may help explain the elevated anti-HEV IgG seroprevalence compared with Argentina.

It cannot be excluded that these regional variations in published studies are methodological, attributed to differences in the sensitivity and specificity of the serological kits used [5, 6], since the lack of standardization in commercial assays complicates comparisons and interpretations of HEV seroepidemiological studies [35] However, a strength of our study is the consistent use of one serological method, ensuring accurate estimates and comparable prevalence data across Latin American countries.

Our findings reveal significantly higher HEV IgG rates in the cirrhosis group (18.7%) compared with those without cirrhosis (3.8%). Multiple studies from Europe and Asia support our results, identifying cirrhosis of different etiologies as a risk factor for higher HEV infection rates [7–9, 27, 36–42]. Particularly relevant for Latin America, our team also reported HEV seroprevalence of 25% among subjects with cirrhosis versus 4% in healthy controls in Argentina [10]. In Brazil, HEV seroprevalence in HCV patients ranged from 10.2% to 12% [11, 12], with higher rates in those with cirrhosis [11], although these are similar to rates in blood donors and the general population [6, 13], reflecting ongoing controversies.

Although our findings indicate an association between cirrhosis and higher anti-HEV IgG seroprevalence, the direction of causality remains uncertain. Some authors suggest that cirrhosis represents an immunocompromised state [9, 38]. Abundant evidence supports the presence of cirrhosis-associated immune dysfunction (CAID), marked by defects in innate and adaptive immunity that increase susceptibility to bacterial and viral infections [43]. Conversely, the significantly higher seroprevalence observed in cirrhotic patients compared with those with non-cirrhotic CLD may point to a potential role of HEV in accelerating the progression from chronic hepatitis to cirrhosis. HEV—typically self-limiting in immunocompetent hosts—may persist or precipitate acute hepatic decompensation in CLD patients, potentially contributing to disease progression or causing ACLF with high mortality [9]. Further studies are warranted to elucidate this relationship, as emphasized by the European Association for the Study of the Liver (EASL) recommendations to test for HEV in patients with unexplained flares of CLD [44].

We found no significant differences in anti-HEV IgG positivity rates across CLD etiologies, except for ALD, which was associated with higher HEV infection rates. Interaction between HEV and excessive alcohol consumption has been widely studied, identifying alcohol as a risk factor for the clinical manifestation of HEV infection [31, 45]. Higher anti-HEV IgG seroprevalence has also been reported in alcohol-related cirrhosis compared with other causes [27, 41]. Similarly, our group previously found higher HEV seropositivity in alcohol-related cirrhosis (39.5%) than in other etiologies (12.4%) [10]. We documented a case in Argentina of a patient with alcohol-related cirrhosis who developed ACLF after HEV-3 infection [15]. The precise mechanism remains unclear. It has been proposed that alcohol may increase viral replication, weaken immune responses, and enhance oxidative stress [46]. Notably, binge drinking induces bacterial translocation into the bloodstream, potentially making individuals more vulnerable to viral translocations as well [47].

In this study, we examined for the first time the progesterone receptor haplotype (PROGINS) and its association with HEV in CLD in Latin America. Only three previous studies evaluated PROGINS in non-pregnant immunosuppressed cohorts: two by Debes et al. suggested an association with HEV seropositivity in liver transplant recipients and HIV + patients [17, 18], and López-López et al. reported a protective role against HEV in HIV-infected women [19]. Our results did not find any association, suggesting the mutation is unlikely a risk factor for HEV in this setting.

We detected HEV-RNA in only two serum samples (0.4%). Consistent with our results, several studies reported low HEV-RNA rates in CLD patients due to a brief transient viraemia during acute infection [7, 8, 13, 38, 40, 45]. Notably, both HEV-RNA-positive cases were negative for anti-HEV IgM and IgG, which represents an unexpected finding compared with previous studies reporting that IgM-negative samples are generally RNA-negative, such as the large study conducted in Bangladesh [48]. The higher IgM positivity observed among healthy controls compared with CLD patients may be influenced by the small number of IgM-positive cases and by differences in sex distribution and geographic origin between groups. It is also worth noting that anti-HEV IgM rates were obtained only among individuals who were anti-HEV IgG positive. These factors, along with the small number of RNA-positive, limit broader conclusions about recent HEV infection in this cohort.

The sample that could be sequenced was identified as HEV-3 within clade abchijklm, consistent with prior findings in Argentina and South America [4–6]. Phylogenetic analyses revealed that the sample grouped in the same monophyletic cluster with 99.8/100% of support alongside sequences from surface water, wastewater, swine, and human sources from Argentina and Brazil across multiple years, indicating a close genetic relationship and revealing persistent HEV infections with the same strains among human and swine populations throughout time within the country [49, 50]. These analyses provide further evidence that, similar to European countries where HEV-3 predominates, HEV infections of zoonotic origin might play a role in South America.

This study has some methodological limitations. Primarily, there were no available epidemiological data on certain risk factors previously linked to HEV infection, such as recent animal contact, diet, blood transfusions, and high-risk occupations, leaving some questions unanswered. Secondarily, the heterogeneity of the sample—with considerable diversity in patient categories, liver disease etiologies, and stages—made statistical analysis challenging, particularly for subgroup analyses that require sufficient power to detect effects, which may restrict generalizability. Additionally, the healthy control group showed a markedly different sex distribution compared with the other groups. Finally, another limitation is potential sampling bias, as all collection sites were major hospitals within each city. However, the large number of samples from diverse geocultural backgrounds provides unique and novel information from an underrepresented region in HEV research.

Our study adds information on HEV circulation among healthy control cohorts and CLD patients across Latin America. Particularly in Chile, HEV may be highly endemic, underscoring the need for increased screening efforts and awareness.

In light of the significantly higher rates of HEV infection among individuals with ALD and cirrhosis -and given that more severe courses of HEV infection have previously been reported in these populations- HEV testing should be considered during the initial diagnostic workup in these patients, particularly when they develop acute liver dysfunction or unexplained liver decompensation, to enhance early detection of HEV infections. Additionally, preventive strategies should prioritize high-risk groups, such as promoting sanitation practices and the avoidance of undercooked meat (pork, wild boar and venison) and shellfish, as recommended by the EASL guidelines. Further research is needed to better identify high-risk groups within the CLD population and assess whether HEV screening in specific cohorts could improve disease management and patient outcomes.

Supplementary Material

jiaf615_Supplementary_Data

Notes

Acknowledgments . This study was made possible thanks to the commitment and dedication of the health professionals, technicians, and administrators involved in patient recruitment for the Escalon project, as well as the invaluable participation of the patients. We also express our gratitude to the Tissue and Biofluids Biobank of the Pontificia Universidad Católica de Chile for generously providing access to their samples.

Author Contributions. F. A. C.: study concept and design, raw data preprocessing, analysis and interpretation of data, and writing—original draft. P. M. B.: study concept and design, supervision, validation, visualization, writing—review & editing. M. W. M., D. C. G.: analysis and interpretation of data, visualization, writing—review & editing. B. D., R. P., P. J., A. M., C. E., D. F. J., M. A. Z., F. M., S. S. A., R. J. C., G. S., Z. A., F. M., G. B. E., S. J.: Data acquisition, visualization, writing—review & editing. B. G. M. and B. M. E.: verification of data and statistical analysis. D. J. D. and B. A.: project administration, resources, validation, visualization, writing—review & editing, funding acquisition. R. V. E.: study concept and design, analysis and interpretation of data, writing—review & editing, funding acquisition. All authors had full access to all the data in the study and had final responsibility for the decision to submit for publication.

Financial support. This work was supported by the European-Latin American ESCALON consortium, funded by the Horizon 2020 program [grant number 825510 to B. A.]; the Ministry of Science, Technology and Productive Innovation Argentina [grant number PICT 2019–02222 to R. V. E.]; the National Institutes of Health [grant number R21TW012390-01A1 to D. J. D.]; and the Secretariat of Science and Technology of the National University of Córdoba, Argentina [grant number Consolidar-PIP-33620230100187-CB to R. V. E.]. The funding source had no role in the study design, data collection, data analysis, data interpretation, manuscript preparation, or in the decision to submit the article for publication.

Contributor Information

Anabella Clara Fantilli, Facultad de Ciencias Médicas, Instituto de Virología “Dr. J.M. Vanella”, Universidad Nacional de Córdoba, Córdoba, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina.

María Belén Pisano, Facultad de Ciencias Médicas, Instituto de Virología “Dr. J.M. Vanella”, Universidad Nacional de Córdoba, Córdoba, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina.

Maribel Martínez Wassaf, Departamento de Virología, LACE laboratorios, Córdoba, Argentina.

Guadalupe Di Cola, Facultad de Ciencias Médicas, Instituto de Virología “Dr. J.M. Vanella”, Universidad Nacional de Córdoba, Córdoba, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina.

Domingo Balderramo, Hospital Privado Universitario de Córdoba, Córdoba, Argentina.

Pablo Romagnoli, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina; Hospital Privado Universitario de Córdoba, Córdoba, Argentina.

Jhon Prieto, Centro de Enfermedades Hepáticas y Digestivas (CEHYD), Bogotá, Colombia.

Marco Arrese, Departamento de Gastroenterología, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile.

Enrique Carrera, Departamento de Gastroenterología y Hepatología, Hospital Especialidades Eugenio Espejo, Universidad San Francisco de Quito, Quito, Ecuador.

Javier Díaz Ferrer, Universidad San Martin de Porres, Lima, Perú.

Angelo Z Mattos, Graduate Program in Medicine: Hepatology, Federal University of Health Sciences of Porto Alegre, Porto Alegre, Brazil.

Marina Fernández, Hospital Privado Universitario de Córdoba, Córdoba, Argentina.

Grisel Maribel Britos, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina; Facultad de Matemática, Astronomía y Física, Universidad Nacional de Córdoba, Córdoba, Argentina.

María Eugenia Bernaschini, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina; Facultad de Matemática, Astronomía y Física, Universidad Nacional de Córdoba, Córdoba, Argentina.

Santiago A Sepúlveda, Departamento de Anatomía Patológica, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile.

Juan Carlos Roa, Departamento de Anatomía Patológica, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile.

Sergio Grutadauria, Laboratorio Central, Sanatorio Allende, Córdoba, Argentina.

Alina Zerega, Laboratorio Central, Sanatorio Allende, Córdoba, Argentina.

Melina Ferreiro, División de Gastroenterología, Hospital de Clínicas José de San Martín (UBA), Buenos Aires, Argentina.

Esteban González Ballerga, División de Gastroenterología, Hospital de Clínicas José de San Martín (UBA), Buenos Aires, Argentina.

Jonathan Salmon, División de Gastroenterología, Hospital de Clínicas José de San Martín (UBA), Buenos Aires, Argentina.

Andre Boonstra, Department of Gastroenterology and Hepatology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.

José Daniel Debes, Department of Gastroenterology and Hepatology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands; Department of Medicine, University of Minnesota, Minneapolis, Minnesota, USA.

Viviana Elizabeth Ré, Facultad de Ciencias Médicas, Instituto de Virología “Dr. J.M. Vanella”, Universidad Nacional de Córdoba, Córdoba, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina.

Supplementary Data

Supplementary materials are available at The Journal of Infectious Diseases online (http://jid.oxfordjournals.org/). Supplementary materials consist of data provided by the author that are published to benefit the reader. The posted materials are not copyedited. The contents of all supplementary data are the sole responsibility of the authors. Questions or messages regarding errors should be addressed to the author.

References

  • 1. World Health Organization . Hepatitis E—Fact Sheet. https://www.who.int/news-room/fact-sheets/detail/hepatitis-e. Accessed 15 October 2025.
  • 2. Kamar  N, Izopet  J, Pavio  N, et al.  Hepatitis E virus infection. Nat Rev  2017; 3:17086. [DOI] [PubMed] [Google Scholar]
  • 3. Smith  DB, Izopet  J, Nicot  F, et al.  Update: proposed reference sequences for subtypes of hepatitis E virus (species Orthohepevirus A). J General Virol  2020; 101:692–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4. Villalobos  NVF, Kessel  B, Rodiah  I, Ott  JJ, Lange  B, Krause  G. Seroprevalence of hepatitis E virus infection in the Americas: estimates from a systematic review and meta-analysis. PLoS One  2022; 17:e0269253. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Pisano  MB, Mirazo  S, Re  VE. Hepatitis E virus infection: is it really a problem in Latin America?  Clin Liver Dis (Hoboken)  2020; 16:108–13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6. de Oliveira  JM, dos Santos  DRL, Pinto  MA. Hepatitis E virus research in Brazil: looking back and forwards. Viruses  2023; 15:548. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7. Qiu  LX, Huang  Y, Quan  JL, et al.  Prognosis of hepatitis E infection in patients with chronic liver disease: a meta-analysis. J Viral Hepat  2023; 30:101–7. [DOI] [PubMed] [Google Scholar]
  • 8. Hoan  NX, Van Tong  H, Hecht  N, et al.  Hepatitis E virus superinfection and clinical progression in hepatitis B patients. EBioMedicine  2015; 2:2080–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Yang  H, Wen  J, Zhang  Q, et al.  Clinical characteristics of 1279 patients with hepatitis e in Tianjin. Epidemiol Infect  2023; 151:e157. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10. Fantilli  AC, Trinks  J, Marciano  S, et al.  Unexpected high seroprevalence of hepatitis e virus in patients with alcohol-related cirrhosis. PLoS One  2019; 14:1–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Bricks  G, Senise  JF, Pott  HJr, et al.  Previous hepatitis E virus infection, cirrhosis and insulin resistance in patients with chronic hepatitis C. Br J Infect Dis  2019; 23:45–52. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12. Zitelli  PMY, Gomes-Gouvêa  M, Mazo  DF, et al.  Hepatitis E virus infection increases the risk of diabetes and severity of liver disease in patients with chronic hepatitis C virus infection. Clinics  2021; 76:e3270. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13. Costa  MB, Gouvêa  MSG, Chuffi  S, et al.  Seroprevalence of hepatitis E virus in risk populations and blood donors in a referral hospital in the south of Brazil. Sci Rep  2021; 11:6011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Valenzuela  V, Pinto  J, Padilla  M, et al.  Severa descompensación por virus de hepatitis E en una paciente con hepatitis autoinmune: reporte de un caso. Rev gastroenterol Perú  2012; 32:187–91. [PubMed] [Google Scholar]
  • 15. Fantilli  A, López Villa  SD, Zerega  A, et al.  Hepatitis E virus infection in a patient with alcohol related chronic liver disease: a case report of acute-on-chronic liver failure. Virol J  2021; 18:1–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Bose  PD, Das  BC, Kumar  A, Gondal  R, Kumar  D, Kar  P. High viral load and deregulation of the progesterone receptor signaling pathway: association with hepatitis E-related poor pregnancy outcome. J Hepatol  2011; 54:1107–13. [DOI] [PubMed] [Google Scholar]
  • 17. Debes  JD, Groothuismink  ZMA, de Man  RA, Boonstra  A. Association between a progesterone receptor mutation and hepatitis E sero-positivity in liver transplant recipients. J Med Virol  2020; 92:3871–4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Debes  JD, Pas  SD, Groothuismink  ZMA, van der Ende  ME, de Man  RA, Boonstra  A. A mutation in the progesterone receptor predisposes to HEV infection in HIV-positive patients. Liver International  2018; 38:792–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19. López-López  P, Rivero-Juarez  A, Frias  M, et al.  Mutations in the progesterone receptor (PROGINS) may reduce the symptoms of acute hepatitis E and protect against infection. Front Microbiol  2019; 10:1–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20. Goble  S, Akambase  J, Prieto  J, et al.  MBOAT7 rs641738 variant is not associated with an increased risk of hepatocellular carcinoma in a Latin American cohort. Dig Dis Sci  2023; 68:4212–20. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21. Harris  PA, Taylor  R, Minor  BL, et al.  The REDCap consortium: building an international community of software platform partners. J Biomed Inform  2019; 95:103208. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22. Harris  PA, Taylor  R, Thielke  R, Payne  J, Gonzalez  N, Conde  JG. Research electronic data capture (REDCap)—a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform  2009; 42:377–81. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23. Jothikumar  N, Cromeans  TL, Robertson  BH, Meng  XJ, Hill  VR. A broadly reactive one-step real-time RT-PCR assay for rapid and sensitive detection of hepatitis E virus. J Virol Methods  2006; 131:65–71. [DOI] [PubMed] [Google Scholar]
  • 24. Minh  BQ, Schmidt  HA, Chernomor  O, et al.  IQ-TREE 2: new models and efficient methods for phylogenetic inference in the genomic era. Mol Biol Evol  2020; 37:1530–4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25. Agoulnik  IU, Tong  X-W, Fischer  D-C, et al.  A germline variation in the progesterone receptor gene increases transcriptional activity and may modify ovarian cancer risk. J Clin Endocrinol Metab  2004; 89:6340–7. [DOI] [PubMed] [Google Scholar]
  • 26. Wong  RJ, Cheung  R, Gish  RG, Chitnis  AS. Prevalence of hepatitis E infection among adults with concurrent chronic liver disease. J Viral Hepat  2021; 28:1643–55. [DOI] [PubMed] [Google Scholar]
  • 27. Yang  H, Wu  J, Yuan  Y, Huang  W, Jia  B. Retrospectively seroprevalence study on anti-HEV-IgG antibody in patients with chronic hepatitis or liver cirrhosis in a Chinese teaching hospital. J Med Virol  2019; 91:437–43. [DOI] [PubMed] [Google Scholar]
  • 28. Amougou Atsama  M, Atangana  PJA, Noah Noah  D, Moundipa  PF, Pineau  P, Njouom  R. Hepatitis E virus infection as a promoting factor for hepatocellular carcinoma in Cameroon: preliminary observations. Int J Infect Dis  2017; 64:4–8. [DOI] [PubMed] [Google Scholar]
  • 29. Bai  MJ, Zhou  N, Dong  W, Li  GX, Cong  W, Zhu  XQ. Seroprevalence and risk factors of hepatitis E virus infection in cancer patients in eastern China. Int J Infect Dis  2018; 71:42–7. [DOI] [PubMed] [Google Scholar]
  • 30. Mrzljak  A, Dinjar-Kujundzic  P, Jemersic  L, Vilibic-Cavlek  T. The burden of hepatitis e infection in chronic liver diseases in Croatia. Vector Borne Zoonotic Dis  2021; 21:67–8. [DOI] [PubMed] [Google Scholar]
  • 31. Schulz  M, Beha  D, Plehm  K, Zöllner  C, Hofmann  J, Schott  E. High prevalence of anti-hepatitis e virus antibodies in outpatients with chronic liver disease in a university medical center in Germany. Eur J Gastroenterol Hepatol  2016; 28:1431–6. [DOI] [PubMed] [Google Scholar]
  • 32. Covarrubias  N, Naveas  P, Miranda  J, et al.  Seroprevalencia de virus hepatitis E en donantes de sangre en un hospital universitario en Chile. Revista Chilena de Infectología  2018; 35:455–7. [DOI] [PubMed] [Google Scholar]
  • 33. Jaramillo  AD, Restrepo  L, Mantilla-Rojas  C, et al.  Frequency of antibodies to hepatitis E in blood donors in the municipality of yarumal, Antioquia. Rev Col Gastroenterol  2016; 31:229–34. [Google Scholar]
  • 34. Abanto  J, Sanchez Boluarte  AN, Castillo  Y, et al.  Increased prevalence of antibodies to hepatitis E virus in patients with neurocysticercosis. Am J Trop Med Hyg  2024; 110:1210–3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35. Pisano  MB, Campbell  C, Anugwom  C, Ré  VE, Debes  JD. Hepatitis E virus infection in the United States: seroprevalence, risk factors and the influence of immunological assays. PLoS One  2022; 17:e0272809. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36. Zhao  H, Ye  W, Yu  X, et al.  Hepatitis E virus superinfection impairs long-term outcome in hospitalized patients with hepatitis B virus-related decompensated liver cirrhosis. Ann Hepatol  2023; 28:100878. [DOI] [PubMed] [Google Scholar]
  • 37. Choi  JW, Son  HJ, Lee  SS, et al.  Acute hepatitis E virus superinfection increases mortality in patients with cirrhosis. BMC Infect Dis  2022; 22:62. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38. Paternostro  R, Traussnigg  S, Staufer  K, et al.  Prevalence of anti-Hepatitis E antibodies and impact on disease severity in non-alcoholic fatty liver disease. Hepatol Res  2021; 51:69–79. [DOI] [PubMed] [Google Scholar]
  • 39. Wang  Y, Liu  H, Jiang  Y, Pan  Q, Zhao  J. Poor outcomes of acute hepatitis e in patients with cirrhotic liver diseases regardless of etiology. Open Forum Infect Dis  2020; 7:1–5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40. Akyüz  F, Çavuş  B, Pınarbaşı  B, et al.  Cryptogenic liver cirrhosis and hepatitis E virus (HEV): are they related?  Ann Hepatol  2019; 18:585–9. [DOI] [PubMed] [Google Scholar]
  • 41. Parfieniuk-Kowerda  A, Jaroszewicz  J, Łapiński  TW, et al.  High prevalence of anti-HEV antibodies among patients with immunosuppression and hepatic disorders in eastern Poland. Arch Med Sci  2021; 17:675–81. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42. Kumar Acharya  S, Kumar Sharma  P, Singh  R, et al.  Hepatitis E virus (HEV) infection in patients with cirrhosis is associated with rapid decompensation and death. J Hepatol  2007; 46:387–94. [DOI] [PubMed] [Google Scholar]
  • 43. McGettigan  B, Hernandez-Tejero  M, Malhi  H, Shah  V. Immune dysfunction and infection risk in advanced liver disease. Gastroenterology  2025; 168:1085–100. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44. EASL . EASL clinical practice guidelines on hepatitis E virus infection. J Hepatol  2018; 68:1256–71. [DOI] [PubMed] [Google Scholar]
  • 45. Haim-Boukobza  S, Coilly  A, Sebagh  M, et al.  Hepatitis E infection in patients with severe acute alcoholic hepatitis. Liver International  2015; 35:870–5. [DOI] [PubMed] [Google Scholar]
  • 46. Xu  HQ, Wang  CG, Zhou  Q, Gao  YH. Effects of alcohol consumption on viral hepatitis B and C. World J Clin Cases  2021; 9:10052–63. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47. Bala  S, Marcos  M, Gattu  A, Catalano  D, Szabo  G. Acute binge drinking increases serum endotoxin and bacterial DNA levels in healthy individuals. PLoS One  2014; 9:8–12. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48. Paul  RC, Nazneen  A, Banik  KC, et al.  Hepatitis E as a cause of adult hospitalization in Bangladesh: results from an acute jaundice surveillance study in six tertiary hospitals, 2014–2017. PLoS Negl Trop Dis  2020; 14:e0007586. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49. Fantilli  AC, Masachessi  G, Di Cola  G, et al.  Integrated hepatitis e virus monitoring in central Argentina: a six-year analysis of clinical surveillance and wastewater-based epidemiology. Water Res  2024; 261:122004. [DOI] [PubMed] [Google Scholar]
  • 50. Di Cola  G, Di Cola  G, Fantilli  A, et al.  High circulation of hepatitis E virus (HEV) in pigs from the central region of Argentina without evidence of virus occurrence in pork meat and derived products. Res Vet Sci  2023; 164:105000. [DOI] [PubMed] [Google Scholar]

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