Evidence map›Paper›PMID 26965204›Full record

ReviewNature reviews. Drug discovery2016

Convertible visceral fat as a therapeutic target to curb obesity.

Antonio Giordano, Andrea Frontini, Saverio Cinti

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Drug discovery, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 112 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
112citing papers in PubMed, 2 pooled it
19.3field-weighted citation impact, top 1% 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

112 citing papers in PubMed, 2 syntheses or guidelines pooled it, 226 citations in OpenAlex.

  1. New Mediators in the Crosstalk between Different Adipose Tissues.International journal of molecular sciences · 2024
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  12. Effects of Particulate Matter on Obstructive Sleep Apnea and Obesity.Journal of rhinology : official journal of the Korean Rhinologic Society · 2025
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52 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

3 authors at 2 institutions in 1 country.

Antonio GiordanoDepartment of Experimental and Clinical Medicine, University of Ancona (Università Politecnica delle Marche), Via Tronto, 10/A 60020 Ancona, Italy.
Andrea FrontiniDepartment of Public Health Experimental and Forensic Medicine, University of Pavia, 27100 Pavia, Italy.
Saverio CintiDepartment of Experimental and Clinical Medicine, University of Ancona (Università Politecnica delle Marche), Via Tronto, 10/A 60020 Ancona, Italy.
Marche Polytechnic University · ITUniversity of Pavia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

New therapeutic and preventative strategies are needed to address the growing obesity epidemic. In animal models, brown adipose tissue activation and the associated heat produced contribute to countering obesity and the accompanying metabolic abnormalities. Adult humans also have functional brown fat. Here, we present and discuss the concepts of murine and human white adipose tissue plasticity and the transdifferentiation of white adipocytes into brown adipocytes. Human visceral adipocytes - which are crucial contributors to the burden of obesity and its complications - are particularly susceptible to such transdifferentiation. Therefore, we propose that this process should be a focus of anti-obesity research. Approved drugs that have browning properties as well as future drugs that target molecular pathways involved in white-to-brown visceral adipocyte transdifferentiation may provide new avenues for obesity therapy.

Indexed as

Cell DifferentiationAdipose Tissue, BrownAdipose Tissue, WhiteAdultHumansObesityThermogenesis

Identifiers

PMID26965204
OpenAlexW2294630337

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.