Evidence map›Paper›PMID 32676581›Full record

ArticleFASEB bioAdvances2020

Metabolic response of Insulinoma 1E cells to glucose stimulation studied by fluorescence lifetime imaging.

Gianmarco Ferri, Marta Tesi, Federico Massarelli, Lorella Marselli, Piero Marchetti, Francesco Cardarelli

Open access · goldAbstract read
In one paragraph

Article in FASEB bioAdvances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

13 citing papers in PubMed, 17 citations in OpenAlex.

  1. Metabolic trajectories in developing human neocortical neurons.Proceedings of the National Academy of Sciences of the United States of America · 2026
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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 2 institutions in 1 country.

Gianmarco FerriLaboratorio NEST - Scuola Normale Superiore Pisa Italy.
Marta TesiDepartment of Clinical and Experimental Medicine Islet Cell Laboratory University of Pisa Pisa Italy.
Federico MassarelliDipartimento di Fisica "E. Fermi" Università di Pisa Pisa Italy.
Lorella MarselliDepartment of Clinical and Experimental Medicine Islet Cell Laboratory University of Pisa Pisa Italy.
Piero MarchettiDepartment of Clinical and Experimental Medicine Islet Cell Laboratory University of Pisa Pisa Italy.
Francesco CardarelliLaboratorio NEST - Scuola Normale Superiore Pisa Italy.
University of Pisa · ITNational Enterprise for NanoScience and NanoTechnology · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A cascade of highly regulated biochemical processes connects glucose stimulation to insulin secretion in specialized cells of mammalian pancreas, the β-cells. Given the importance of this process for systemic glucose homeostasis, noninvasive and fast strategies capable to monitor the response to glucose in living cells are highly desirable. Here, we use the phasor-based approach to Fluorescence Lifetime IMaging (FLIM) microscopy to quantify the ratio between protein-bound and free Nicotinamide adenine dinucleotide (phosphate) species in their reduced form (NAD(P)H), and the Insulinoma cell line INS-1E as a β-like cellular model. Phasor-FLIM analysis shows that the bound/free ratio of NAD(P)H species increases upon pulsed glucose stimulation. Such response is impaired by 48-hours preincubation of cells under hyperglycemic conditions. Phasor-FLIM concomitantly monitors the appearance of long-lifetime species (LLS) as characteristic products of hyperglycemia-induced oxidative stress.

Indexed as

glucotoxicityhyperglycemiaINS‐1 Einsulin secretionmetabolic imagingNADH

Identifiers

PMID32676581
PMCPMC7354695
OpenAlexW3030818649

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.