Evidence map›Paper›PMID 39788961›Full record

ArticleScientific data2025

Deep sequencing-derived Metagenome Assembled Genomes from the gut microbiome of liver transplant patients.

Goutam Banerjee, Suraya Rahman Papri, Hai Huang, Sanjaya Kumar Satapathy, Pratik Banerjee

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

5 authors.

Goutam BanerjeeDepartment of Food Science and Human Nutrition, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
Suraya Rahman PapriDepartment of Food Science and Human Nutrition, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
Hai HuangThe Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA.
Sanjaya Kumar SatapathyDivision of Hepatology, Sandra Atlas Bass Center for Liver Diseases & Transplantation, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell Health, Manhasset, NY, USA. ssatapat@northwell.edu.
Pratik BanerjeeDepartment of Food Science and Human Nutrition, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA. pratik@illinois.edu.ORCID http://orcid.org/0000-0001-5553-5350

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recurrence of metabolic dysfunction-associated steatotic liver disease (MASLD) after liver transplantation (LT) is a continuing concern. The role of gut microbiome dysbiosis in MASLD initiation and progression has been well established. However, there is a lack of comprehensive gut microbiome shotgun sequence data for patients experiencing MASLD recurrence after LT. In this data descriptor, we describe a dataset of deep metagenomic sequences of a well-defined LT recipient population. Community-based analysis revealed a high abundance of Akkermansia muciniphila, consistently observed in most patient samples with a low (0-2) MASLD Activity Score (NAS). We constructed 357 metagenome-assembled genomes (MAGs), including 220 high-quality MAGs (>90% completion). The abundance of different species of Bacteroides MAGs dominated in patient samples with NAS > 5 ("definite MASH"). In contrast, the MAGs of A. muciniphila, Akkermansia sp., and Blutia sp. dominated in samples from patients without MASH (NAS = 0-2). In addition, the phylogenetic analysis of A. muciniphila and Akkermansia sp. MAGs identified two new phylogroups of Akkermansia that are distinct from the previously reported three phylogroups.

Indexed as

Gastrointestinal MicrobiomeLiver TransplantationMetagenomeAkkermansiaFatty LiverHigh-Throughput Nucleotide SequencingHumans

Identifiers

PMID39788961
PMCPMC11717916

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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.