Evidence map›Paper›PMID 42846020›Full record

ArticleFrontiers in nutrition2026

Multi-omics profiling and cellular validation reveal distinct lipid networks of krill oil and its predicted mechanisms against insulin resistance.

Jinxin Lin, Jinfeng Zhou, Shiyu Luo, Haocheng Liu, Jiguo Yang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in nutrition, 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

5 authors.

Jinxin LinMedical Education Center of Jinan University/Department of Endocrinology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Jinfeng ZhouSchool of Food Science and Engineering, South China University of Technology, Guangzhou, China.
Shiyu LuoSchool of Food Science and Engineering, South China University of Technology, Guangzhou, China.
Haocheng LiuSchool of Public Health and Health Management, Gannan Medical University, Ganzhou, Jiangxi, China.
Jiguo YangSchool of Food Science and Engineering, South China University of Technology, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Insulin resistance is a major contributor to metabolic disorders. We compared krill oil (KO), fish oil (FO), and soybean lecithin (SL) using untargeted metabolomics (UHPLC-HRMS), untargeted lipidomics (UPLC-QTOF-MS), network pharmacology, molecular docking, and a TNF-alpha-induced 3T3-L1 adipocyte model. Metabolomics detected 3,314 annotated features. In the KO versus FO comparison, 378 features were up-regulated and 593 were down-regulated in positive-ion mode, whereas 365 were up-regulated and 925 were down-regulated in negative-ion mode. Lipidomics detected 4,667 lipid-associated features and revealed distinct product-specific patterns of phospholipids, free fatty acids, glycerolipids, and sphingolipids. Network pharmacology identified 394 intersecting candidate targets, with AKT1, IL6, PPARG, and SRC prioritized as high-centrality nodes. Molecular docking was used to prioritize predicted component-target interactions. In mature 3T3-L1 adipocytes, TNF-alpha reduced insulin-stimulated 2-NBDG uptake. KO, FO, and SL increased glucose uptake relative to the TNF-alpha plus insulin group, with KO showing the largest response among the tested oils. KO also increased the

Indexed as

3T3-L1 adipocytesinsulin resistanceinsulin signalingkrill oilnetwork pharmacologyuntargeted lipidomicsuntargeted metabolomics

Identifiers

PMID42846020
PMCPMC13642128

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.