Evidence map›Paper›PMID 41291376›Full record

ReviewCell biology and toxicology2025

NAD + in fatty liver disease: mechanistic insights and associated targets.

Yaxin Guo, Yuting Wang, Shiran Wu, Yong Wang, Xinde Liu

Abstract readReview
In one paragraph

Review in Cell biology and toxicology, 2025. 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

5 authors.

Yaxin Guo *Department of Dermatology, The First Hospital of China Medical University, Shenyang, 110801, China.
Yuting Wang *Department of General Surgery, The Fourth Affiliated Hospital of China Medical University, Shenyang, 110032, China.
Shiran WuDepartment of General Surgery, The Fourth Affiliated Hospital of China Medical University, Shenyang, 110032, China.
Yong WangDepartment of General Surgery, The Fourth Affiliated Hospital of China Medical University, Shenyang, 110032, China. wangyong@cmu.edu.cn.
Xinde LiuDepartment of General Surgery, The Fourth Affiliated Hospital of China Medical University, Shenyang, 110032, China. liuxinde@cmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fatty liver disease, encompassing metabolic dysfunction-associated steatotic liver disease (MASLD) and alcohol-associated liver disease (ALD), is frequently linked to high-calorie diets, excessive alcohol consumption, or other metabolic disorders. These conditions can escalate to cirrhosis and even hepatocellular cancer (HCC), resulting in a substantial economic burden worldwide. Nicotinamide adenine dinucleotide (NAD +) is a coenzyme that plays a critical role in cellular metabolism and homeostasis. Its depletion has been observed in cases of fatty liver disease, while restoration of NAD + levels has been shown to mitigate the initiation and progression of disease. This review presents advances of NAD + in the pathophysiology of fatty liver disease, focusing on the biological roles of NAD + in liver lipid accumulation, oxidative stress, endoplasmic reticulum stress (ERS), inflammation, autophagy, and liver fibrosis during the development of fatty liver disease. Furthermore, the potential of NAD + as a therapeutic target for fatty liver disease is also discussed.

Indexed as

Fatty LiverNADAnimalsAutophagyEndoplasmic Reticulum StressHumansLipid MetabolismLiverLiver CirrhosisNon-alcoholic Fatty Liver DiseaseOxidative StressNADALDAutophagyEndoplasmic reticulum stressInflammationLipid accumulationLiver fibrosisMASLDNAD +Oxidative stress

Identifiers

PMID41291376
PMCPMC12647238

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.