ArticleJHEP reports : innovation in hepatology2026
Loss, amplification or mistiming of the daily rhythms of metabolic markers in patients with cirrhosis.
Article in JHEP reports : innovation in hepatology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Circadian control of immune homeostasis in cardiovascular health and disease.Frontiers in immunology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background & Aims: The aim of the present study was to evaluate the temporal dynamics of metabolites in patients with cirrhosis using hourly plasma samples collected over a full 24-hour cycle in 17 outpatients with cirrhosis of varying severity (9 males, 58 [39-77] years, 12 compensated/5 decompensated) and 9 matched healthy controls (8 males, 60 [38-84] years). Methods: A total of 142 metabolites were quantified by targeted metabolomics, including 11 acylcarnitines, 19 amino acids, 9 biogenic amines, 88 glycerophospholipids, 14 sphingolipids, 1 monosaccharide and the circadian hormones melatonin and cortisol. Multivariate analyses were performed using PCA (principal component analysis) and OPLS-DA (orthogonal partial least squares-discriminant analysis). To assess 24-hour rhythmicity, a linear mixed-effect cosinor method was applied, providing peak times and amplitudes. Results: PCA and OPLS-DA revealed clear differences between groups. The four metabolites which best distinguished the groups were the glycerophospholipids P32:0 and PC O-32:1, the amino acid tyrosine and the biogenic amine methionine sulfoxide (VIP scores 1.59-1.62), all of which were increased in decompensated patients. Significant 24-hour rhythms were detected in 46% of metabolites and both circadian hormones in healthy volunteers, compared with 16% of metabolites and both hormones in patients. A significant phase advance was observed for acylcarnitines, while amino acids, glycerophospholipids, and both circadian hormones exhibited phase delays in patients relative to healthy controls. Additionally, some rhythmic metabolites showed progressively increased amplitudes in patients, indicating larger oscillations over the 24 hours. Conclusions: Major abnormalities in both absolute plasma metabolite concentrations and their daily rhythm were observed in a small but well characterised group of outpatients with cirrhosis of varying severity. Impact and implications: This study demonstrates significant disruptions in the daily rhythms of plasma metabolites in patients with cirrhosis that parallel disease severity. Although the underlying mechanisms and direct clinical consequences of these rhythm disturbances require further investigation, their potential long-term effects are likely to be important, particularly in the context of metabolic and nutritional health in this patient population. These findings highlight the need to consider temporal dynamics in both the assessment and management of cirrhosis and may inform future strategies for chronotherapy, dietary interventions, and personalized care.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.