Sónia Miranda

Ms. Sónia Miranda

IBMC - Instituto de Biologia Molecular e Celular, Universidade do Porto, Portugal
orcid

Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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16 February 2021 in Biology
Verified
Journal Article
Open access
PDF file
NFNuno Franco
Nuno Franco
SMSónia Miranda
Sónia Miranda
NKNóra Kovács
Nóra Kovács
ANAttila Nagy
Attila Nagy
QBQuoc Thien Bui
Quoc Thien Bui
OVOrsolya Varga
Orsolya Varga
Although there is a wide range of animal models of type 2 diabetes mellitus (T2DM) used in research; we have limited evidence on their translation value. This paper provides a) a comparison of preclinical animal and clinical results on the effect of five dipeptidyl peptidase-4 (DPP4) inhibitors by comparing the pharmaceutical caused glucose changes, and b) an evaluation of methodological and reporting standards in T2DM preclinical animal studies. DPP4 inhibitors play an important role in the clinical management of T2DM: if metformin alone is not sufficient enough to control the blood sugar levels, DPP4 inhibitors are often used as second-line therapy; additionally, DPP-4 inhibitors are also used in triple therapies with metformin and sodium-glucose co-transporter-2 (SGLT-2) inhibitors or with metformin and insulin. In our analysis of 124 preclinical studies and 47 clinical trials, (1) we found no evidence of species differences in glucose change response to DPP4 inhibitors, which may suggest that, for this drug class, studies in mice and rats may be equally predictive of how well a drug will work in humans; and (2) there is good reporting of group size, sex, age, euthanasia method and self-reported compliance with animal welfare regulations in animal studies but poor reporting of justification of group size, along with a strong bias towards the use of male animals and young animals. Instead of the common non-transparent model selection, we call for a reflective and evidenced-based assessment of predictive validity of the animal models currently available.

5 March 2020 in bioRxiv
Verified
Preprint
Open access
PDF file
NFNuno Franco
Nuno Franco
SMSónia Miranda
Sónia Miranda
NKNóra Kovács
Nóra Kovács
ANAttila Nagy
Attila Nagy
FAFolahanmi Akinsolu
Folahanmi Akinsolu
OVOrsolya Varga
Orsolya Varga
The importance of selecting accurate animal models of disease has become increasingly salient in recent years. This is particularly important for preclinical tests carried out to predict drug efficacy and safety for humans. We mapped past and current trends in animal model selection for type-2 Diabetes Mellitus (T2DM) antidiabetic drug research, and evaluate results in light of their implications for translational research. From data gathered from published studies on 41 orally administered antidiabetic drug classes from the ‘MEDLINE Evaluator’ web service, we found animal model choice trends within – and across – drug classes to be substantially similar, with outbred rat strains being more prevalently used, since the 1990s. The observed consistency in choice of animal models in T2DM is advantageous for replicability and comparability of experiments, but prevalence of outbred strains raises a few concerns. In face of current criticism of the translational value of animal tests, predictive validity must be assessed on a case-by-case basis. We address some of the issues pertaining the most popular animal models in antidiabetic drug development and testing, including the lack of information on their predictive validity, and propose a ‘back translation’ approach to estimate it retrospectively.