ReviewFrontiers in pharmacology2016
Preclinical
Review in Frontiers in pharmacology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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.
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.
Who cites it
14 citing papers in PubMed, 25 citations in OpenAlex.
- Systemic and cardiac pathology induced by a clinically relevant USP8 activating mutation.Disease models & mechanisms · 2026Article
- Profiles, tissue, and microbial integrity of cadavers used in medical faculties in South-western Uganda: implication in anatomical education.Anatomy & cell biology · 2025Article
- Non-invasive optoacoustic imaging of dermal microcirculatory revascularization in diet-induced obese mice undergoing exercise intervention.Photoacoustics · 2024Article
- Are MTV and TLG Accurate for Quantifying the Intensity of Brown Adipose Tissue Activation?Biomedicines · 2024Article
- Emerging technologies in adipose tissue research.Adipocyte · 2023Review
- Association between Body Composition Contents and Hepatic Fibrosis in Sarcopenic Obesity.Journal of clinical medicine · 2023Article
- Extracellular Vesicles from Mesenchymal Stem Cells: Towards Novel Therapeutic Strategies for Neurodegenerative Diseases.International journal of molecular sciences · 2023Review
- Bioluminescence imaging of mouse monocyte chemoattractant protein-1 expression in inflammatory processes.Acta biochimica et biophysica Sinica · 2022Article
- Quantification of brown adipose tissueQuantitative imaging in medicine and surgery · 2022Article
- Development of CIDEA reporter mouse model and its application for screening thermogenic drugs.Scientific reports · 2021Article
- Molecular Imaging of Brown Adipose Tissue Mass.International journal of molecular sciences · 2021Review
- Sex-dependent effects of forced exercise in the body composition of adolescent rats.Scientific reports · 2021Article
- Magnetic Resonance Imaging Techniques for Brown Adipose Tissue Detection.Frontiers in endocrinology · 2020Review
- Morphology of the Vasculature and Blood Supply of the Brown Adipose Tissue Examined in an Animal Model by Micro-CT.BioMed research international · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Localization, differentiation, and quantitative assessment of fat tissues have always collected the interest of researchers. Nowadays, these topics are even more relevant as obesity (the excess of fat tissue) is considered a real pathology requiring in some cases pharmacological and surgical approaches. Several weight loss medications, acting either on the metabolism or on the central nervous system, are currently under preclinical or clinical investigation. Animal models of obesity have been developed and are widely used in pharmaceutical research. The assessment of candidate drugs in animal models requires non-invasive methods for longitudinal assessment of efficacy, the main outcome being the amount of body fat. Fat tissues can be either quantified in the entire animal or localized and measured in selected organs/regions of the body. Fat tissues are characterized by peculiar contrast in several imaging modalities as for example Magnetic Resonance Imaging (MRI) that can distinguish between fat and water protons thank to their different magnetic resonance properties. Since fat tissues have higher carbon/hydrogen content than other soft tissues and bones, they can be easily assessed by Computed Tomography (CT) as well. Interestingly, MRI also discriminates between white and brown adipose tissue (BAT); the latter has long been regarded as a potential target for anti-obesity drugs because of its ability to enhance energy consumption through increased thermogenesis. Positron Emission Tomography (PET) performed with
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Registered trials
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.