Evidence map›Paper›PMID 42295343›Full record

ReviewArchives of toxicology2026

Circadian regulation of hepatic detoxification: implications for drug-induced liver injury.

Ruiming Wen, Haixia Wang, Songtao Wang

Abstract readReview
PubMed Publisher
In one paragraph

Review in Archives of toxicology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Ruiming Wen *School of Physical Education and Sports Science, South China Normal University, Guangzhou, 510006, Guangdong Province, China.ORCID 0009-0004-1636-106X
Haixia Wang *School of Physical Education and Sports Science, South China Normal University, Guangzhou, 510006, Guangdong Province, China.ORCID 0000-0001-9789-997X
Songtao WangSchool of Physical Education and Sports Science, South China Normal University, Guangzhou, 510006, Guangdong Province, China. wangsongtao@m.scnu.edu.cn.ORCID 0000-0002-9426-2030

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The hepatic capacity for xenobiotic detoxification exhibits pronounced circadian rhythmicity. The molecular basis of this rhythm lies in the autonomous transcriptional-translational feedback loops constituted by clock-controlled genes (CCGs). These loops temporally regulate the expression of a vast array of drug-metabolizing enzymes (DMEs) and transporters, thereby determining the liver's detoxification efficacy at different times of day. Dysfunction of CCGs, such as reverse erythroblastosis virus α (Rev-erbα), brain and muscle ARNT-like 1 (Bmal1), circadian locomotor output cycles kaput (Clock), and period (Per), directly disrupts this metabolic timing and alters the liver's susceptibility to specific toxicants. Therefore, this review elaborates on the circadian characteristics of hepatic detoxification function, analyzes the complex network through which CCGs regulate hepatotoxicity, and further explores how external zeitgebers (e.g., light, food) and the timing of drug administration influence the outcomes of liver injury by either synchronizing or disrupting endogenous rhythms. These findings provide a theoretical basis for applying chronopharmacological principles to prevent and mitigate drug-induced liver injury through time-based intervention strategies, such as optimizing drug administration timing and managing lifestyle factors.

Indexed as

Chemical and Drug Induced Liver InjuryCircadian RhythmLiverXenobioticsAnimalsHumansInactivation, MetabolicXenobioticsChronopharmacologyCircadian rhythmDrug-metabolizing enzymesHepatotoxicityZeitgeber

Identifiers

What OpenQuestion holds

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Registered trials

None linked

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.