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Record W4416023742 · doi:10.1016/j.jhepr.2025.101671

Circulating HBV RNA and hepatitis B core-related antigen as determinants of HBsAg loss in persons with HIV in Europe

2025· article· en· W4416023742 on OpenAlexaff
Lorin Begré, Anders Boyd, Marie‐Laure Plissonnier, Barbara Testoni, Charles Béguelin, Franziska Suter‐Riniker, Caroline Scholtès, Karine Lacombe, Lars Peters, Marintha Heil, Massimo Levrero, Fabien Zoulim, Gilles Wandeler, Heiner C. Bucher, Christian R. Kahlert, Arjan Harxhi, M. Losso, M Kundro, Michael Knappik, Piotr Cichon, Klinik Penzing, M. Sarcletti, Igor Karpov, В. М. Мицура, D. Paduto, Nathan Clumeck, M. Delforge, Maartje Van Frankenhuijsen, Marie‐Angélique De Scheerder, J. Topalovic, J. Begovac, David Jilich, Ladislav Machala, Dalibor Sedláček, Thomas Benfield, Jan Gerstoft, Anne‐Mette Lebech, Ole Kirk, Işık Somuncu Johansen, Lothar Wiese, Lise Nikolic Nielsen, K. Zilmer, Viard Jp, Éric Fontas, Claudine Duvivier, Jürgen K. Rockstroh, Olaf Degen, Christian Hoffmann, Christopher J. Stefan, Johannes R. Bogner, Clara Lehmann, Akaki Abutidze, H Sambatakou, Georgios Adamis, N. Paissios, János Szlávik, Magnús Gottfreðsson, E. Devitt, O.V. Bondarenko, L.M. Wattad, Hila Elinav, Daniel Elbirt, Giulia Marchetti, G. Guaraldi, C Mussini, Antonella Castagna, Anna Lisa Ridolfo, Filippo Schiavo, Vilma Uždavinienė, Raimonda Matulionytė, Thérèse Staub, R. Batutu, J. Trajanovska, Dag Henrik Reikvam, Brygida Knysz, Bartosz Szetela, Małgorzata Inglot, Elżbieta Bąkowska, Miłosz Parczewski, Bogusz Aksak‐Wąs, Marek Beniowski, E. Mularska, Elżbieta Jabłonowska, Juliusz Kamerys, Kamila Wójcik, Iwona Mozer‐Lisewska, Błażej Rozpłochowski, Alexandra Zagalo, K. Mansinho, Fernando Maltêz, Roxana Rădoi, C. Oprea, Д. А. Гусев, T. Trofimova, Elena Kuzovatova, Е. А. Бородулина, Е. С. Вдоушкина, Jovan Ranin, Janez Tomažič, Elisa Martínez, José M. Miró, Montserrat Laguno, José Luís Blanco, Maria Martínez‐Rebollar, Juan Ambrosioni, Berta Torres, Ana Gonzalez‐Cordón, Iván Chivite, Alberto Foncillas, E. de Lazzaari, Leire Berrocal, Pilar Callau, Alexy Inciarte, José Alcamı́, Josep Mallolas, Roger Paredes, Javier Juega Puig, José Ramón Santos, Carolina Miranda, Peré Domingo, Guang-Yuan Mar, María Pilar Rivero Gracia, Ester Sáez de Adana Arróniz, Anders Sönnerborg, Johanna Brännström, Karolin Falconer, Fredrik Månsson, Katharina Kusejko, Alexandra Calmy, H Furrer, Manuel Battegay, Patrick Schmid, Enos Bernasconi, Anastasiia Kuznetsova, Larisa Hetman, Alina Kryshchuk, Marta Boffito, Simon Edwards, Fiona Burns, C. Orkin, Alan Winston, Amy L. Clarke, CG Mackintosh, Christoph Boesecke, Eduardo Martínez, J. Lundgren, Lasse Dam Rasmussen, О. В. Нестерова, Silvia Nozza, Jens Fromholt Larsen, Masyar Gardizi, Nadine Jaschinski, A Timiryasova, Bastian Neesgaard, F. Roper, David Raben, Andrew H. Fischer, Alessandro Cozzi‐Lepri, Wade Bannister, T W Elsing, Lalit Kumar, S. Shahi, Brandon Elliott Pepa, Patrick Miailhes, Caroline Lascoux‐Combe, Julie Chas, Pierre‐Marie Girard, Joël Gozlan, Constance Delaugerre, Hayette Rougier

Bibliographic record

VenueJHEP Reports · 2025
Typearticle
Languageen
FieldMedicine
TopicHepatitis B Virus Studies
Canadian institutionsInstitute of Infection and Immunity
FundersEuropean AIDS Treatment NetworkSwiss HIV Cohort Research FoundationSchweizerische Akademie der Medizinischen WissenschaftenGottfried und Julia Bangerter-Rhyner-StiftungDanmarks GrundforskningsfondMSD Sharp and DohmeAgence Nationale de la RechercheFP7 Coordination of Research ActivitiesInselspital, Universitätsspital BernJanssen Scientific AffairsSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungGilead SciencesSidactionBristol-Myers Squibb
KeywordsHBsAgHepatitis B virusHuman immunodeficiency virus (HIV)Hepatitis BAntigenRNAAntibodyTransmission (telecommunications)

Abstract

fetched live from OpenAlex

Background & Aims: HBsAg loss improves clinical outcomes in persons with HIV and HBV coinfection. We aimed to evaluate if hepatitis B core-related antigen and circulating HBV RNA levels were associated with HBsAg loss in Euro-B, a multi-cohort collaboration including data from the Swiss HIV Cohort Study, EuroSIDA, and the French HIV/HBV cohort. Methods: quantitative HBsAg <0.05 IU/ml) during tenofovir therapy. Results: Among 599 participants median age was 41 years (IQR 35-47), 18.4% were female and 47.3% HBeAg-positive. We observed HBsAg loss in 12.9% of participants after 2 years and in 18.2% during a median follow-up of 8.2 years (IQR 3.6-13.1). Individuals who were HBeAg-negative were more likely to have a negative hepatitis B core-related antigen and HBV RNA below the detection limit than participants who were HBeAg-positive. Quantitative HBsAg ≤1,000 IU/ml at baseline was the strongest predictor of HBsAg loss regardless of HBeAg status. Additionally, HBsAg loss was associated with lower baseline HBV RNA levels (odds ratio 0.66, 95% CI 0.49-0.88) and higher baseline HBV DNA levels in participants who were HBeAg-positive. Conclusions: In this European cohort of persons with HIV/HBV, 18% experienced HBsAg loss during tenofovir-containing antiretroviral therapy. In addition to low baseline quantitative HBsAg levels, HBV RNA may predict HBsAg loss in individuals who are HBeAg-positive. Impact and implications: The present study builds on a multi-cohort collaboration including persons with HIV/HBV from Europe. It provides estimates on the probability of HBsAg loss during long-term tenofovir-containing antiretroviral therapy and describes the potential of the novel biomarkers HBV RNA and hepatitis B core-related antigen as its predictors. The discrepancies regarding HBV RNA and HBcrAg levels before and during therapy observed between persons who were HBeAg-negative and HBeAg-positive with HIV/HBV may influence treatment decisions and the development of new treatment strategies. Clinical Trials Registration: The study is registered at ClinicalTrials.gov (NCT04984772).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.286
Teacher spread0.270 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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