Evidence map›Paper›PMID 26740595›Full record

ArticleDiabetes2016

Functional Deficits Precede Structural Lesions in Mice With High-Fat Diet-Induced Diabetic Retinopathy.

Rithwick Rajagopal, Gregory W Bligard, Sheng Zhang, Li Yin, Peter Lukasiewicz, Clay F Semenkovich

Open access · bronzeAbstract read
In one paragraph

Article in Diabetes, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed
9.1field-weighted citation impact, top 2% of its field
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

62 citing papers in PubMed, 92 citations in OpenAlex.

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  16. Ocular manifestations of central insulin resistance.Neural regeneration research · 2023
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2 more citing papers are in PubMed but not listed here.

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

6 authors at 1 institution in 1 country.

Rithwick RajagopalDepartment of Ophthalmology and Visual Sciences, Washington University School of Medicine in St. Louis, St. Louis, MO.
Gregory W BligardDepartment of Ophthalmology and Visual Sciences, Washington University School of Medicine in St. Louis, St. Louis, MO.
Sheng ZhangDepartment of Ophthalmology and Visual Sciences, Washington University School of Medicine in St. Louis, St. Louis, MO.
Li YinDivision of Endocrinology, Metabolism, and Lipid Research, Washington University School of Medicine in St. Louis, St. Louis, MO.
Peter LukasiewiczDepartment of Ophthalmology and Visual Sciences, Washington University School of Medicine in St. Louis, St. Louis, MO.
Clay F SemenkovichDivision of Endocrinology, Metabolism, and Lipid Research, Washington University School of Medicine in St. Louis, St. Louis, MO csemenko@dom.wustl.edu.
Washington University in St. Louis · US

Funding

Washington University Nutrition Obesity Research CenterP30DK056341 · NIDDK · WASHINGTON UNIVERSITY · PI Brian N Finck · 1999 to 2026
$30.2M
WU P&FP30DK020579 · NIDDK · WASHINGTON UNIVERSITY · PI Irfan J Lodhi · 2013 to 2026
$27.1M
TRANSGENICS COREP60DK020579 · NIDDK · WASHINGTON UNIVERSITY · PI SCHAFFER, JEAN E. · 1986 to 2012
$25.2M
WASHINGTON UNIVERSITY CENTER VISION RESEARCHP30EY002687 · NEI · WASHINGTON UNIVERSITY · PI Philip Andrew Ruzycki · 1985 to 2026
$18.4M
Research Training Program in the Vision SciencesT32EY013360 · NEI · WASHINGTON UNIVERSITY · PI SHIMING CHEN, Daniel Kerschensteiner · 2000 to 2026
$5.6M
DE NOVO LIPOGENESIS AND METABOLIC DISEASER01DK076729 · NIDDK · WASHINGTON UNIVERSITY · PI SEMENKOVICH, CLAY F. · 2007 to 2015
$2.5M
MODULATING PHYSIOLOGIC EFFECTS OF PHOSPHOLIPID METABOLISM IN OBESITY AND DIABETESR01DK101392 · NIDDK · WASHINGTON UNIVERSITY · PI SEMENKOVICH, CLAY F. · 2015 to 2019
$2.0M
EARLY DETECTION OF DIABETIC RETINOPATHY BY PERIPHERAL BLOOD LIPID PROFILINGK08EY025269 · NEI · WASHINGTON UNIVERSITY · PI RAJAGOPAL, RITHWICK · 2016 to 2020
$980k
NEI NIH HHS K08 EY025269NEI NIH HHS P30 EY002687NEI NIH HHS T32 EY013360NIDDK NIH HHS P30 DK020579NIDDK NIH HHS P30 DK056341NIDDK NIH HHS P60 DK020579NIDDK NIH HHS R01 DK076729NIDDK NIH HHS R01 DK101392
6 · The paper itself

Abstract

Obesity predisposes to human type 2 diabetes, the most common cause of diabetic retinopathy. To determine if high-fat diet-induced diabetes in mice can model retinal disease, we weaned mice to chow or a high-fat diet and tested the hypothesis that diet-induced metabolic disease promotes retinopathy. Compared with controls, mice fed a diet providing 42% of energy as fat developed obesity-related glucose intolerance by 6 months. There was no evidence of microvascular disease until 12 months, when trypsin digests and dye leakage assays showed high fat-fed mice had greater atrophic capillaries, pericyte ghosts, and permeability than controls. However, electroretinographic dysfunction began at 6 months in high fat-fed mice, manifested by increased latencies and reduced amplitudes of oscillatory potentials compared with controls. These electroretinographic abnormalities were correlated with glucose intolerance. Unexpectedly, retinas from high fat-fed mice manifested striking induction of stress kinase and neural inflammasome activation at 3 months, before the development of systemic glucose intolerance, electroretinographic defects, or microvascular disease. These results suggest that retinal disease in the diabetic milieu may progress through inflammatory and neuroretinal stages long before the development of vascular lesions representing the classic hallmark of diabetic retinopathy, establishing a model for assessing novel interventions to treat eye disease.

Indexed as

Capillary PermeabilityDiabetes Mellitus, ExperimentalDiabetic RetinopathyAnimalsDiet, High-FatDisease ProgressionElectroretinographyFemaleMaleMiceMice, Inbred C57BLRetinal DiseasesRetinal Vessels

Identifiers

PMID26740595
PMCPMC5166563
OpenAlexW2232159238

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.