Maria Manuel Silva

Dr. Maria Manuel Silva

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Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

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

Representative Publications

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21 May 2021 in Diabetology & Metabolic Syndrome
Verified
Journal Article
Open access
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ELEva Lau
Eva Lau
EBEugeni Belda
Eugeni Belda
PPPaul Picq
Paul Picq
DCDavide Carvalho
Davide Carvalho
MFManuel Ferreira-Magalhães
Manuel Ferreira-Magalhães
EPEdi Prifti
Edi Prifti
Background: Roux-en-Y gastric bypass (RYGB) surgery is one of the most efficient procedures for the treatment of obesity, also improving metabolic and inflammatory status, in patients with mild obesity. The underlying mechanisms have not been fully understood, but gut microbiota is hypothesized to play a key role. Our aim was to evaluate the association between gut microbiota changes and anthropometric, metabolic and inflammatory profiles after metabolic surgery compared with medical therapy, in type 2 diabetic (T2DM) adults with mild obesity (BMI 30–35 kg/m2). Methods: DM2 was an open-label, randomised controlled clinical trial (RCT: ISRCTN53984585) with 2 arms: (i) surgical, and (ii) medical. The main outcome was gut microbiota changes after: metabolic surgery (Roux-en-Y gastric bypass—RYGB) versus standard medical therapy. Secondary outcomes included anthropometric, metabolic and inflammatory profiles. Clinical visits, blood workup, and stool samples were collected at baseline and months (M)1, 3, 6, 12. Gut microbiota was profiled using 16S rRNA targeted sequencing. Results: Twenty patients were included: 10 in surgical and 10 in medical arm. Anthropometric and metabolic comparative analysis favoured RYGB over medical arm. At M12, the percentage of weight loss was 25.5 vs. 4.9% (p < 0.001) and HbA1c was 6.2 vs. 7.7% (p < 0.001) respectively. We observed a continuous increase of genus richness after RYGB up until M12. In the medical arm, genus richness ended-up being significantly lower at M12. Composition analysis indicated significant changes of the overall microbial ecosystem (permanova p = 0.004, [R2 = 0.17]) during the follow-up period after RYGB. There was a strong association between improvement of anthropometric/metabolic/inflammatory biomarkers and increase in microbial richness and Proteobacterial lineages. Conclusions: This was the first RCT studying composite clinical, analytic, and microbiome changes in T2DM patients with class 1 obesity after RYGB versus standard medical therapy. The remarkable phenotypic improvement after surgery occurred concomitantly with changes in the gut microbiome, but at a lower level. Trial registration: ISRCTN53984585

25 May 2020 in Obesity Surgery
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Journal Article
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GAGrupo Amtco
Grupo Amtco
MFMaria João Silva Ferreira
Maria João Silva Ferreira
DSDaniela Alves Salazar
Daniela Alves Salazar
JNJoão Sérgio Neves
João Sérgio Neves
JPJorge Pedro
Jorge Pedro
DCDavide Carvalho
Davide Carvalho

27 September 2022 in Biomedicines
Verified
Journal Article
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MCMarta Borges Canha
Marta Borges Canha
JNJoão Sérgio Neves
João Sérgio Neves
MSMaria Manuel Silva
Maria Manuel Silva
FMFernando Mendonça
Fernando Mendonça
TMTelma Moreno
Telma Moreno
CGCRIO Group
CRIO Group
Non-alcoholic fatty liver disease (NAFLD) is associated with several other metabolic disorders, which are typically pro-inflammatory states. Body fat content is an important marker of metabolic health and abdominal fat is associated with harmful cardiometabolic outcomes. We aimed to evaluate the association between the risk of NAFLD (through Fatty Liver Index (FLI), and BMI, AST/ALT ratio, and presence of diabetes (BARD)), and anthropometric parameters, predictors of metabolic status, in patients with morbid obesity, and to evaluate the association of FLI and BARD scores with pro-inflammatory markers. We have retrospectively studied patients with morbid obesity followed in our center. In total, 2184 participants were included, with an average age of 42.8 ± 10.6 years, 84.5% being females. We report a positive association of FLI with waist circumference (β = 0.10 [0.09 to 0.11], p < 0.01) and waist-to-hip ratio (β = 8.68 [6.85 to 10.52, p < 0.01]), even after adjusting for age, sex, body mass index, diabetes, and dyslipidemia (p < 0.01 for both adjusted models). The associations of BARD with anthropometric measures were significant only in the non-adjusted model. There was a positive association between both FLI and BARD and C-reactive protein. Our results point towards a positive association between waist-to-hip ratio and the risk of hepatic steatosis, and between pro-inflammatory markers and both hepatic steatosis and fibrosis.

19 December 2019 in Obesity Surgery
Verified
Journal Article
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DSDaniela Alves Salazar
Daniela Alves Salazar
MFMaria João Silva Ferreira
Maria João Silva Ferreira
JNJoão Sérgio Neves
João Sérgio Neves
JPJorge Pedro
Jorge Pedro
VGVanessa Alexandra Guerreiro
Vanessa Alexandra Guerreiro
DCDavide Carvalho
Davide Carvalho

23 October 2023 in Cureus
Verified
Journal Article
Open access
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MSMaria Manuel Silva
Maria Manuel Silva
MCMarta Canha
Marta Canha
DSDaniela Salazar
Daniela Salazar
JNJoão Sergio Neves
João Sergio Neves
GFGonçalo Ferreira
Gonçalo Ferreira
HDHugo Duarte
Hugo Duarte
Purpose: Peptide receptor radionuclide therapy (PRRT) is an effective and safe treatment of unresectable or metastatic, progressive neuroendocrine tumours (NETs). However, if progression occurs after the initial PRRT, treatment options remain limited. Our aim was to evaluate the efficacy and safety of a repeat 177Lutetium-[DOTA°,Tyr3]octreotate ([177Lu]Lu-DOTA-TATE) PRRT course in patients with progressive NET after the first [177Lu]Lu-DOTA-TATE PRRT (peptide receptor radionuclide therapy first treatment (PRRT1)). Methods: This is a nine-year retrospective observational study of 20 patients who were re-treated with PRRT (peptide receptor radionuclide therapy retreatment (PRRTR)) after PRRT1. Results: The median progression-free survival (PFS) following PRRT1 was 32 months (interquartile range (IQR): 16.5-44.5). After PRRT1, all 20 patients progressed. Of the 20 patients included, two were lost during follow-up. The median PFS after PRRTR was 17.5 months (IQR: 7-39). At the time of analysis, 15/18 patients progressed, and 3/18 had stable disease after PRRTR. Among those patients who progressed, the median time to progression was nine months (IQR: 0-17). The median overall survival from the time of the first cycle of PRRT1 was 66 months (IQR: 65-90). No significant renal or liver toxicity was reported, nor was there a drop in haemoglobin. The decrease in platelet count after PRRTR was statistically significant (p=0.03). Two cycles at PRRTR (vs. 1) were associated with a longer PFS (p=0.014) and the presence of metastases pre-PRRTR was associated with a shorter time to progression following PRRTR (p=0.04). Conclusion: Patients who progressed after PRRT1 can achieve good PFS and minor toxicity. Our study reinforces the efficacy and safety of PRRTR and provides an analysis of factors associated with better outcomes, which can aid clinicians in clinical decision-making.

6 July 2022 in Diabetology & Metabolic Syndrome
Verified
Journal Article
Open access
PDF file
VGVanessa Guerreiro
Vanessa Guerreiro
AAAna Ana
Ana Ana
JNJoão Sérgio Neves
João Sérgio Neves
DSDaniela Salazar
Daniela Salazar
MFMaria João Ferreira
Maria João Ferreira
AGAMTCO Group
AMTCO Group
Background: One hour plasma glucose concentration (1hPG) during an oral glucose tolerance test (OGTT) may be an alternative to 2-h plasma glucose concentration (2hPG) in the identification of individuals at increased risk of hyperglycaemia, although its role is not fully understood. Aim: We aim to investigate the relationship of these measures with other glucose parameters, as well as their relationship with cardiometabolic risk markers and the level of agreement for prediabetes mellitus diagnosis, in a sample of patients with morbid obesity. Methods: We retrospectively evaluated 656 patients with morbid obesity without diagnosed diabetes. To define prediabetes with 2hPG, 2022 American Diabetes Association guidelines criteria were used, while for 1hPG, glucose ≥ 155 mg/dL was considered. Cohen’s Kappa coefficient was used to assess the agreement between both measures of prediabetes mellitus diagnosis. Results: A Cohen’s Kappa coefficient of 0.405 (p < 0.001) was obtained. The 1hPG were positively correlated with homeostatic model assessment for insulin resistance (HOMA-IR) (ρ = 0.281, p < 0.001), fasting plasma glucose (FPG) (ρ = 0.581, p < 0.001), glycated haemoglobin (Hb1AC) (ρ = 0.347, p < 0.001) and were negatively correlated with homeostatic model assessment for cell-β function (HOMA-β) (ρ = −0.092, p = 0.018). 2hPG were also correlated with the same parameters, except for HOMA-β. Conclusion: A fair agreement between 1 and 2hPG was verified. 1hPG criteria may be a useful indicator of β-cell dysfunction and insulin resistance in patients with morbid obesity without diabetes diagnosis.