Evidence map›Paper›PMID 42047416›Full record

ArticleJACC. Basic to translational science2026

Rethinking Obesity Through the Lens of Lipid Spillover.

Shaun Khanna, Nitesh Nerlekar, Aditya Bhat

Abstract read
In one paragraph

Article in JACC. Basic to translational science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
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.

Shaun KhannaGeorge Institute for Global Health, UNSW Sydney, Barangaroo, New South Wales, Australia. Electronic address: shaunkhanna@hotmail.com.
Nitesh NerlekarVictorian Heart Hospital, Victorian Heart Institute, Melbourne, Victoria, Australia.
Aditya BhatDepartment of Cardiology, Westmead and Blacktown Hospitals, Sydney, New South Wales, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Conventional models frame obesity as excess caloric intake but do not explain why cardiometabolic disease develops in only a subset of individuals. Building on Unger's seminal lipotoxicity hypothesis and subsequent adipose expandability frameworks, the lipid spillover concept emphasizes adipose tissue dysfunction-rather than total fat mass-as the driver of disease. When subcutaneous adipose tissue reaches its safe storage capacity, adipocyte hypertrophy, inflammation, and insulin resistance increase lipolysis, raising circulating free fatty acids and promoting ectopic lipid deposition. Accumulation of fat in organs such as the liver, heart, skeletal muscle, pancreas, vasculature, and kidneys initiates organ-specific injury and systemic metabolic-vascular dysfunction that may occur independently of body mass index. Visceral, perivascular, and epicardial fat depots act as inflammatory reservoirs that exacerbate vascular disease and myocardial dysfunction. Advances in imaging and biomarker profiling now enable quantification of ectopic fat burden and activity, supporting risk stratification beyond body size alone. Therapeutic strategies that preferentially reduce ectopic fat through lifestyle intervention, pharmacotherapy, or bariatric surgery, offer targeted cardiometabolic risk reduction.

Indexed as

ectopic fatlipid spillover

Identifiers

PMID42047416
PMCPMC13131421

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.