Evidence mapPaperPMID 42005042Full record

ArticleMetabolism open2026

Metabolic advances in 2025: from clinical breakthroughs to molecular reprogramming.

Maria Dalamaga, Junli Liu

Abstract readEditorial
In one paragraph

Article in Metabolism open, 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

2 authors.

Maria DalamagaDepartment of Biologic Chemistry, School of Medicine, National and Kapodistrian University of Athens, Mikras Asias 75, 115 27, Athens, Greece.
Junli LiuShanghai Key Laboratory of Metabolic Remodeling and Health, Institute of Metabolism and Integrative Biology, Fudan University, Shanghai, 200438, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The year 2025 represented a turning point in metabolic research, marked by advances that combined unprecedented clinical efficacy with deep mechanistic insight. Landmark obesity trials redefined therapeutic expectations, with head-to-head and combination studies showing that the depth and distribution of weight loss are critical determinants of metabolic benefit across obesity and type 2 diabetes. In parallel, gene-editing studies crossed a translational threshold, showing that durable modification of metabolic pathways in humans is feasible, from bespoke correction of inborn errors to population-scale lipid lowering. Mechanistic investigations challenged long-standing assumptions about metabolic regulation. Experimental work revealed that mitochondrial electron transport functions as a dynamic redox regulator rather than a passive energy conduit, linking coenzyme Q imbalance and reverse electron transport to hepatic steatosis and metabolic dysfunction. Other studies reframed nutrient exposure and endogenous metabolites, demonstrating that non-nutritive sweeteners and cyanide exert context-dependent metabolic effects through regulated endocrine and redox pathways. At the systems level, multi-omics analyses defined reproducible microbiome-metabolome signatures associated with impaired glucose regulation, while artificial intelligence and continuous glucose monitoring exposed dynamic glycemic phenotypes invisible to conventional biomarkers. Precision-nutrition studies further showed that selective manipulation of sulfur amino acid availability can program thermogenic and metabolic responses. Collectively, these studies illustrate how metabolism in 2025 was approached as a modifiable, programmable system, shaped by clinical intervention, molecular control, and data-driven phenotyping, and point toward an era of increasingly precise and integrated metabolic medicine.

Indexed as

Artificial intelligencegene editingGene editingGLP-1MetabolismMicrobiome–metabolomeObesityObesity pharmacotherapyPrecision nutritionRedox metabolismTirzepatideType 2 diabetes

Identifiers

PMID42005042
PMCPMC13083644

What Socratic 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 Socratic graph.