{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,27]],"date-time":"2026-10-27T19:38:42Z","timestamp":1793129922587,"version":"4.5.0"},"reference-count":37,"publisher":"American Society for Microbiology","issue":"10","license":[{"start":{"date-parts":[[2026,10,20]],"date-time":"2026-10-20T00:00:00Z","timestamp":1792454400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,10,20]],"date-time":"2026-10-20T00:00:00Z","timestamp":1792454400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.asm.org\/non-commercial-tdm-license"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2024YFC2309904"],"award-info":[{"award-number":["2024YFC2309904"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2022YFC3602000"],"award-info":[{"award-number":["2022YFC3602000"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81874038"],"award-info":[{"award-number":["81874038"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["journals.asm.org"],"crossmark-restriction":true},"short-container-title":["mSystems"],"published-print":{"date-parts":[[2026,10,20]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title\/>\n                    <jats:p>\n                      Although gut microbiome alterations have been reported in hepatitis E (HE), the taxonomic and functional determinants of disease severity remain poorly defined. Here, we performed shotgun metagenomic sequencing of fecal samples from 125 individuals spanning acute non-icteric hepatitis (ANIH), acute icteric hepatitis (AIH), acute liver failure (ALF), and healthy controls. We constructed a\n                      <jats:bold>s<\/jats:bold>\n                      urrogate clinical severity index from routine blood parameters and developed an integrative analytical framework that combined XGBoost-based taxonomic modeling with LASSO-driven functional feature selection to explore microbiome-severity associations. The taxonomic model discriminated patients from controls (area under the curve [AUC] = 0.944) and identified nine bacterial species significantly associated with severity, independent of age, sex, and body mass index (BMI) (permutation test,\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      &lt; 0.05), with\n                      <jats:italic toggle=\"yes\">Veillonella atypica<\/jats:italic>\n                      emerging as the most robust candidate biomarker. The signature featured enrichment of lactate-utilizing\n                      <jats:italic toggle=\"yes\">Veillonella<\/jats:italic>\n                      spp. and\n                      <jats:italic toggle=\"yes\">Ligilactobacillus salivarius<\/jats:italic>\n                      , alongside depletion of beneficial commensals (\n                      <jats:italic toggle=\"yes\">Dorea longicatena<\/jats:italic>\n                      ,\n                      <jats:italic toggle=\"yes\">Ruminococcus timonensis<\/jats:italic>\n                      ,\n                      <jats:italic toggle=\"yes\">Eubacterium ramulus<\/jats:italic>\n                      ), collectively suggesting a pathogenic \u201clactate axis.\u201d The HE-enriched lactate utilizers were positively associated with 13 core severity-increasing KOs involved in oxidative stress adaptation (\n                      <jats:italic toggle=\"yes\">npr<\/jats:italic>\n                      ,\n                      <jats:italic toggle=\"yes\">hemQ<\/jats:italic>\n                      ,\n                      <jats:italic toggle=\"yes\">NUDT1<\/jats:italic>\n                      ,\n                      <jats:italic toggle=\"yes\">nfr1<\/jats:italic>\n                      ) and secretion\/biofilm formation (\n                      <jats:italic toggle=\"yes\">gspD<\/jats:italic>\n                      ,\n                      <jats:italic toggle=\"yes\">fhaC<\/jats:italic>\n                      ,\n                      <jats:italic toggle=\"yes\">vpr<\/jats:italic>\n                      ,\n                      <jats:italic toggle=\"yes\">sinR<\/jats:italic>\n                      ) and negatively with three severity-decreasing KOs, including the butyrate fermentation gene (K14534). Strikingly, the stringent 16-KO core (intersection of four methods) explained more variance in disease severity than the broader set identified by at least three methods (\n                      <jats:italic toggle=\"yes\">R<\/jats:italic>\n                      \u00b2 = 0.61 vs. 0.47). Collectively, these findings reveal a strong link between microbiome-derived lactate metabolism and HE severity, highlighting its potential as a basis for microbiome-based severity stratification and motivating further mechanistic exploration.\n                    <\/jats:p>\n                    <jats:sec>\n                      <jats:title>IMPORTANCE<\/jats:title>\n                      <jats:p>\n                        Hepatitis E virus (HEV) infection ranges from ANIH to ALF, yet the role of the gut microbiome remains poorly understood across the severity spectrum. By performing shotgun metagenomic sequencing on fecal samples from 125 individuals and applying an integrative framework combining XGBoost-based taxonomic modeling with LASSO-driven functional selection, we identified robust microbiome\u2013severity associations as quantified by a surrogate clinical severity index derived from routine blood parameters. These associations were characterized by enrichment of lactate-utilizing\n                        <jats:italic toggle=\"yes\">Veillonella<\/jats:italic>\n                        species (notably\n                        <jats:italic toggle=\"yes\">Veillonella atypica<\/jats:italic>\n                        ), depletion of beneficial butyrate-producing commensals, and severity-linked shifts in microbial functional gene profiles. Such patterns are consistent with a perturbed microbial \u201clactate axis\u201d in gut\u2013liver crosstalk, although all associations remain correlational. Our findings nominate candidate microbial markers for severity stratification in hepatitis E and provide a hypothesis-generating framework to guide future mechanistic studies and microbiome-based therapeutic strategies.\n                      <\/jats:p>\n                    <\/jats:sec>\n                  <\/jats:sec>","DOI":"10.1128\/msystems.00956-26","type":"journal-article","created":{"date-parts":[[2026,9,25]],"date-time":"2026-09-25T13:01:56Z","timestamp":1790341316000},"update-policy":"https:\/\/doi.org\/10.1128\/asmj-crossmark-policy-page","source":"Crossref","is-referenced-by-count":0,"title":["Clinical severity score-guided metagenomic analysis identifying gut microbial taxonomic and functional markers for severe hepatitis E progression"],"prefix":"10.1128","volume":"11","author":[{"given":"Haiyan","family":"Shi","sequence":"first","affiliation":[{"id":[{"id":"https:\/\/ror.org\/00a2xv884","id-type":"ROR","asserted-by":"publisher"}],"name":"State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, China-Singapore Belt and Road Joint Laboratory on Infection Research and Drug Development, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine","place":["Hangzhou, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2185-9303","authenticated-orcid":true,"given":"Yanfei","family":"Chen","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/00a2xv884","id-type":"ROR","asserted-by":"publisher"}],"name":"State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, China-Singapore Belt and Road Joint Laboratory on Infection Research and Drug Development, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine","place":["Hangzhou, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoli","family":"Liu","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/00a2xv884","id-type":"ROR","asserted-by":"publisher"}],"name":"State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, China-Singapore Belt and Road Joint Laboratory on Infection Research and Drug Development, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine","place":["Hangzhou, 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