Evidence map›Paper›PMID 40617259›Full record

ArticleJournal of hepatology2025

Spatiotemporal liver dynamics shape hepatocellular heterogeneity and impact in vivo gene engineering.

Michela Milani, Francesco Starinieri, Stefano Beretta, Marco Monti, Cesare Canepari, Francesca Marabotti, Samuel Zambrano, Davide Mazza, Anna Fabiano, Chiara Simoni and 15 more

Abstract read
In one paragraph

Article in Journal of hepatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Spatiotemporal liver dynamics: How far can we take themLiver research (Beijing, China) · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

25 authors.

Michela MilaniSan Raffaele Telethon Institute for Gene Therapy, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Francesco StarinieriSan Raffaele Telethon Institute for Gene Therapy, IRCCS San Raffaele Scientific Institute, Milan, Italy; Vita Salute San Raffaele University, Milan, Italy.
Stefano BerettaSan Raffaele Telethon Institute for Gene Therapy, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Marco MontiSan Raffaele Telethon Institute for Gene Therapy, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Cesare CanepariSan Raffaele Telethon Institute for Gene Therapy, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Francesca MarabottiSan Raffaele Telethon Institute for Gene Therapy, IRCCS San Raffaele Scientific Institute, Milan, Italy; Vita Salute San Raffaele University, Milan, Italy.
Samuel ZambranoVita Salute San Raffaele University, Milan, Italy; IRCCS San Raffaele Scientific Institute, Milan, Italy.
Davide MazzaVita Salute San Raffaele University, Milan, Italy; IRCCS San Raffaele Scientific Institute, Milan, Italy.
Anna FabianoSan Raffaele Telethon Institute for Gene Therapy, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Chiara SimoniSan Raffaele Telethon Institute for Gene Therapy, IRCCS San Raffaele Scientific Institute, Milan, Italy; Vita Salute San Raffaele University, Milan, Italy.
Eugenia CammarotaIRCCS San Raffaele Scientific Institute, Milan, Italy.
Monica VolpinSan Raffaele Telethon Institute for Gene Therapy, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Giulia BortolussiICGEB, Trieste, Italy.
Fabio RussoSan Raffaele Telethon Institute for Gene Therapy, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Mauro BiffiSan Raffaele Telethon Institute for Gene Therapy, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Marco GenuaSan Raffaele Telethon Institute for Gene Therapy, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Sara Degl'InnocentiSan Raffaele Telethon Institute for Gene Therapy, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Francesca SanvitoSan Raffaele Telethon Institute for Gene Therapy, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Renato OstuniSan Raffaele Telethon Institute for Gene Therapy, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Andrés F MuroICGEB, Trieste, Italy.
Eugenio MontiniSan Raffaele Telethon Institute for Gene Therapy, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Federica MoalliIRCCS San Raffaele Scientific Institute, Milan, Italy.
Matteo IannaconeVita Salute San Raffaele University, Milan, Italy; IRCCS San Raffaele Scientific Institute, Milan, Italy.
Ivan MerelliInstitute for Biomedical Technologies, National Research Council, Milan, Italy.
Alessio CantoreSan Raffaele Telethon Institute for Gene Therapy, IRCCS San Raffaele Scientific Institute, Milan, Italy; Vita Salute San Raffaele University, Milan, Italy. Electronic address: cantore.alessio@hsr.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND &

aimsHepatocytes are the liver's main functional cells and are key targets for in vivo gene therapy to treat monogenic diseases. Integrating the transgene into the genome is critical for long-term expression from a single early-life dose, which is achievable via integrating vectors or genome editing. To ensure persistence through liver growth and cell turnover, it is also necessary to target the hepatocytes driving these processes. While liver regeneration and homeostasis have been studied extensively, hepatocyte growth and maturation remain less well understood. Here, we investigate how hepatocyte heterogeneity evolves during liver growth and its implications for in vivo gene engineering.

methodsWe performed clonal tracing, as well as single-cell and spatial transcriptomics, on mouse livers of various ages. We evaluated the efficiency, stability, and lobule distribution of lentiviral gene transfer and targeted transgene integration.

resultsWe found that a subset of clonogenic hepatocytes (15-20%) in the newborn liver generates >90% of the adult tissue and co-localizes with hematopoietic islands within a spatial niche. Preferential gene editing of these clonogenic hepatocytes resulted in an increased proportion of the gene-engineered liver area, supporting their role in liver growth. Age-dependent hepatocellular heterogeneity affected the efficiency of lentiviral gene delivery in vivo and its distribution throughout the hepatic lobule. The gradual establishment of metabolic zonation after weaning and elevated proteasome activity in the peri-central area in adults influenced the observed age-related outcomes.

conclusionThese insights into spatiotemporal hepatocyte dynamics enhance our understanding of liver biology and have important implications for therapeutic strategies. IMPACT AND IMPLICATIONS: We provide new insights into the spatiotemporal dynamics of the mouse liver during postnatal growth, highlighting both proliferative and transcriptomic heterogeneity among hepatocytes and their impact on the efficiency and distribution of in vivo lentiviral gene delivery and targeted gene editing. Understanding and manipulating the biological processes behind this heterogeneity can enhance gene transfer outcomes. We report that not all hepatocytes contribute equally to liver growth, indicating that effectively targeting clonogenic hepatocytes in the newborn liver is crucial for the long-term maintenance of therapeutic genetic modifications. Furthermore, this phenomenon can be leveraged to expand the pool of genetically corrected cells, as illustrated here by a targeted gene editing strategy. Finally, we reveal the existence of a tissue niche that supports the proliferation of both clonogenic hepatocytes and hematopoietic progenitors in neonatal livers. Gaining a deeper understanding of this niche and its signals may be beneficial for regenerative purposes.

Indexed as

Genetic EngineeringHepatocytesLiverAnimalsGene EditingGenetic TherapyGene Transfer TechniquesLiver RegenerationMaleMiceMice, Inbred C57BLhepatocyte maturationhepatocyte proliferationlentiviral vectorsliver gene therapyliver growthsingle-cell analysisspatial transcriptomicstargeted gene editingtissue niche

Identifiers

PMID40617259
PMCPMC12659782

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.