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Record W4410974132 · doi:10.1038/s41423-025-01298-3

Liver macrophages: development, dynamics, and functions

2025· review· en· W4410974132 on OpenAlexaff
Ysbrand Nusse, Paul Kubes

Bibliographic record

VenueCellular and Molecular Immunology · 2025
Typereview
Languageen
FieldImmunology and Microbiology
TopicPhagocytosis and Immune Regulation
Canadian institutionsQueen's UniversityUniversity of Calgary
Fundersnot available
KeywordsDynamics (music)BiologyComputational biologyCell biologyChemistryPhysics

Abstract

fetched live from OpenAlex

The liver is a sizeable visceral organ whose primary functions involve nutrient metabolism, clearance of toxins, and energy storage. Besides these critical functions, the liver is also a major immunological site. It is populated by several specialized resident immune cells, including B cells, T Cells, dendritic cells, and several populations of macrophages. It is also the site for the production and release of acute-phase proteins during inflammation. One reason for garrisoning these immune sentinels and effectors in the liver is its relative location in the circulatory system. The liver is the first significant organ downstream of the intestine, where blood originating from the intestine enters the liver through the portal vein. This organization facilitates the liver's uptake and processing of nutrient-rich blood directly from the intestinal source. However, the intestine is also home to trillions of microbes, many of which are commensals but also represent potential pathogens. As such, the portal blood supply represents an avenue for systemic infection. To sterilize the portal blood, the liver immune system filters pathogens, which is primarily accomplished by liver macrophages. Here, we will discuss the major populations of macrophages resident in the liver, their location, functions, development, and role in maintaining the liver in the face of injury and infection.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.002

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 head0.011
GPT teacher head0.239
Teacher spread0.228 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations31
Published2025
Admission routes1
Has abstractyes

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