Shared risk factors for COVID-19 and preeclampsia in the first trimester: An observational study

Coronavirus disease 2019; First trimester; PreeclampsiaCoronavirus 2019; Primer trimestre; PreeclàmpsiaCoronavirus 2019; Primer trimestre; PreeclampsiaIntroduction: The association between preeclampsia and coronavirus disease 2019 (COVID-19) is under study. Previous publications have hypothesized the existence of shared risk factors for both conditions or a deficient trophoblastic invasion as possible explanations for this association. The primary aim of this study was to examine baseline risk factors measured in the first-trimester combined screening for preeclampsia in pregnant women with COVID-19 compared with the general population. A secondary aim of this study was to compare risk factors among patients with mild and severe COVID-19. Material and methods: This was an observational retrospective study conducted at Vall d'Hebron Hospital Campus (Catalonia, Spain). Study patients were 231 pregnant women undergoing the first-trimester screening for preeclampsia and positive for severe acute respiratory syndrome coronavirus 2 between February 2020 and September 2021. The reference cohort were 13 033 women of the general population from six centers across Catalonia from May 2019 to June 2021. Based on the need for hospitalization, patients were classified in two groups: mild and severe COVID-19. First-trimester screening for preeclampsia included maternal history, mean arterial blood pressure, mean uterine artery pulsatility index (UtAPI), placental growth factor (PlGF), and pregnancy-associated plasma protein-A (PAPP-A). Results: The proportion of cases at high risk for preeclampsia was significantly higher among the COVID-19 group compared with the general population (19.0% and 13.2%, respectively; p = 0.012). When analyzing risk factors for preeclampsia individually, women with COVID-19 had higher median body mass index (25.2 vs 24.5, p = 0.041), higher UtAPI multiple of the median (MoM) (1.08 vs 1.00, p < 0.001), higher incidence of chronic hypertension (2.8% vs 0.9%, p = 0.015), and there were fewer smokers (5.7% vs 11.6%, p = 0.007). The MoMs of PlGF and PAPP-A did not differ significantly between both groups (0.96 vs 0.97, p = 0.760 and 1.00 vs 1.01, p = 0.432; respectively). Conclusions: In patients with COVID-19, there was a higher proportion of women at high risk for preeclampsia at the first-trimester screening than in the general population, mainly because of maternal risk factors, rather than placental signs of a deficient trophoblastic invasion

Impact of simulation-based teamwork training on COVID-19 distress in healthcare professionals

Non-technical skills such as leadership, communication, or situation awareness should lead to effective teamwork in a crisis. This study aimed to analyse the role of these skills in the emotional response of health professionals to the COVID-19 pandemic. Before the COVID-19 outbreak, 48 doctors and 48 nurses participated in a simulation-based teamwork training program based on teaching non-technical skills through simulation. In May 2020, this group of professionals from a COVID-19 referral hospital was invited to participate in a survey exploring stress, anxiety, and depression, using the PSS-14 (Perceived Stress Scale) and the HADS (Hospital Anxiety and Depression Scale) measures. A control group that did not receive the training was included. We conducted a logistic regression to assess whether having attended a simulation-based teamwork training program modified the probability of presenting psychological distress (PSS-14 > 18 or HADS> 12). A total of 141 healthcare professionals were included, 77 in the intervention group and 64 in the control group. Based on the PSS-14, 70.1% of the intervention group and 75% of the control group (p = 0.342) had symptoms of stress. Having contact with COVID-19 patients [OR 4.16(1.64-10.52)]; having minors in charge [OR 2.75 (1.15-6.53)]; working as a doctor [0.39(0.16-0.95)], and being a woman [OR 2.94(1.09-7.91)] were related with PSS14 symptoms. Based on the HADS, 54.6% of the intervention group and 42.2% of the control group (p = 0.346) had symptoms of anxiety or depression. Having contact with COVID-19 patients [OR 2.17(1.05-4.48)] and having minors in charge [OR 2.14(1.06-4.32)] were related to HADS symptoms. Healthcare professionals who attended COVID-19 patients showed higher levels of anxiety and depression [OR 2.56(1.03-6.36) (p = 0.043)]. Healthcare professionals trained in non-technical skills through simulation tended towards higher levels of anxiety and depression and fewer levels of stress, during the COVID-19 pandemic

Fetal Transient Skin Edema in Two Pregnant Women With Coronavirus Disease 2019 (COVID-19)

Altres ajuts: Funding was provided for the Gesta-COVID19 Study by Instituto de Salud Carlos III (ISCIII) (PR(AMI)181/2020) (ISCIII's reference: COV20/00188).Fetal skin edema in the second trimester might be associated with maternal coronavirus disease 2019 (COVID-19). The risk of vertical transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection remains unknown. Positive reverse-transcription polymerase chain reaction (RT-PCR) test results for SARS-CoV-2 infection in neonates and placental tissue have been reported, and immunoglobulin M antibodies have been detected in neonates born to mothers with infection. The first case is a woman at 22 3/7 weeks of gestation with coronavirus disease 2019 (COVID-19) who was admitted to the intensive care unit. In the second case, the patient remained at home with mild symptoms, starting at 20 weeks of gestation. In both cases, fetal skin edema was observed on ultrasound examination while maternal SARS-COV-2 RT-PCR test results were positive and resolved when maternal SARS-COV-2 RT-PCR test results became negative. The RT-PCR test result for SARS-CoV-2 in amniotic fluid was negative in both cases. The two pregnancies are ongoing and uneventful. Transient fetal skin edema noted in these two patients with COVID-19 in the second trimester may represent results of fetal infection or altered fetal physiology due to maternal disease or may be unrelated to the maternal illness

Analysis of Few-Shot Techniques for Fungal Plant Disease Classification and Evaluation of Clustering Capabilities Over Real Datasets

[EN] Plant fungal diseases are one of the most important causes of crop yield losses. Therefore, plant disease identification algorithms have been seen as a useful tool to detect them at early stages to mitigate their effects. Although deep-learning based algorithms can achieve high detection accuracies, they require large and manually annotated image datasets that is not always accessible, specially for rare and new diseases. This study focuses on the development of a plant disease detection algorithm and strategy requiring few plant images (Few-shot learning algorithm). We extend previous work by using a novel challenging dataset containing more than 100,000 images. This dataset includes images of leaves, panicles and stems of five different crops (barley, corn, rape seed, rice, and wheat) for a total of 17 different diseases, where each disease is shown at different disease stages. In this study, we propose a deep metric learning based method to extract latent space representations from plant diseases with just few images by means of a Siamese network and triplet loss function. This enhances previous methods that require a support dataset containing a high number of annotated images to perform metric learning and few-shot classification. The proposed method was compared over a traditional network that was trained with the cross-entropy loss function. Exhaustive experiments have been performed for validating and measuring the benefits of metric learning techniques over classical methods. Results show that the features extracted by the metric learning based approach present better discriminative and clustering properties. Davis-Bouldin index and Silhouette score values have shown that triplet loss network improves the clustering properties with respect to the categorical-cross entropy loss. Overall, triplet loss approach improves the DB index value by 22.7% and Silhouette score value by 166.7% compared to the categorical cross-entropy loss model. Moreover, the F-score parameter obtained from the Siamese network with the triplet loss performs better than classical approaches when there are few images for training, obtaining a 6% improvement in the F-score mean value. Siamese networks with triplet loss have improved the ability to learn different plant diseases using few images of each class. These networks based on metric learning techniques improve clustering and classification results over traditional categorical cross-entropy loss networks for plant disease identification.This project was partially supported by the Spanish Government through CDTI Centro para el Desarrollo Tecnológico e Industrial project AI4ES (ref CER-20211030), by the University of the Basque Country (UPV/EHU) under grant COLAB20/01 and by the Basque Government through grant IT1229-19

Confirmation of preeclampsia-like syndrome induced by severe COVID-19 : An Observational Study

Since the outbreak of the COVID-19 pandemic, some studies have reported an increased preeclampsia (PE) incidence in pregnant women with SARS-CoV-2 infection. Several explanations for this association have been proposed, including a preeclampsia-like syndrome induced by severe COVID-19. This syndrome was described in a small case series and has not been confirmed in larger studies and its impact in perinatal outcomes has not been studied. The aim of this study was to confirm the preeclampsia-like syndrome due to COVID-19 and to investigate its implications in pregnancy outcomes and prognosis. This was a prospective, observational study conducted in a tertiary referral hospital. Inclusion criteria were pregnant women admitted to the Intensive Care Unit for severe pneumonia due to COVID-19. They were classified in three groups based on clinical and laboratory findings: PE, PE-like syndrome, and women without PE features. The three cohorts were analyzed and compared at three different times: before, during and after severe pneumonia. The main outcomes were incidence of adverse perinatal outcomes and signs and symptoms of PE, such as hypertension, proteinuria, thrombocytopenia, elevated liver enzymes and increased angiogenic factors (soluble fms-like tyrosine kinase-1 to placental growth factor ratio [sFlt-1/PlGF]). A total of 106 women were admitted to Intensive Care Unit due to severe pneumonia and 68 were included in the study. Of those, 53 (50.0%) did not meet the diagnostic criteria for PE and remained pregnant after pneumonia (non-PE), seven (6.6%) met the diagnostic criteria for PE, had abnormal (>38) sFlt-1/PlGF (PE) and delivered during severe pneumonia, and eight (7.5%) met the diagnostic criteria for PE, had normal (≤38) sFlt-1/PlGF (PE-like) and did not deliver during pneumonia. Despite not having delivered, most PE-related features improved after severe pneumonia in women with PE-like syndrome. Women with PE had significantly poorer outcomes than women with PE-like syndrome or without PE. More than 50% of women with severe COVID-19 and diagnostic criteria for PE may not be PE but a PE-like syndrome, which may affect up to 7.5% of women with severe COVID-19. PE-like syndrome might have similar perinatal outcomes to those of normotensive women with severe pneumonia due to COVID-19. For these reasons, PE-like syndrome should be excluded by using sFlt-1/PlGF in future research and before making clinical decisions

Gestation and COVID-19 : clinical and microbiological observational study (Gesta-COVID19)

The Coronavirus Disease 2019 (COVID-19) is a novel disease which has been having a worldwide affect since December 2019. Evidence regarding the effects of SARS-CoV-2 during pregnancy is conflicting. The presence of SARS-CoV-2 has been demonstrated in biological samples during pregnancy (placenta, umbilical cord or amniotic fluid); however, maternal and fetal effects of the virus are not well known. Descriptive, multicentre, longitudinal, observational study in eight tertiary care hospitals throughout Spain, that are referral centres for pregnant women with COVID-19. All pregnant women with positive SARS-CoV-2 real-time reverse transcriptase polymerase chain reaction during their pregnancy or 14 days preconception and newborns born to mothers infected with SARS-CoV-2 will be included. They will continue to be followed up until 4 weeks after delivery. The aim of the study is to investigate both the effect of COVID-19 on the pregnancy, and the effect of the pregnancy status with the evolution of the SARS-CoV-2 disease. Other samples (faeces, urine, serum, amniotic fluid, cord and peripheral blood, placenta and breastmilk) will be collected in order to analyse whether or not there is a risk of vertical transmission and to describe the behaviour of the virus in other fluids. Neonates will be followed until 6 months after delivery to establish the rate of neonatal transmission. We aim to include 150 pregnant women and their babies. Ethics approval will be obtained from all the participating centres. There is little information known about COVID-19 and its unknown effects on pregnancy. This study will collect a large number of samples in pregnant women which will allow us to demonstrate the behaviour of the virus in pregnancy and postpartum in a representative cohort of the Spanish population

A systems pharmacology model for inflammatory bowel disease

Motivation The literature on complex diseases is abundant but not always quantitative. This is particularly so for Inflammatory Bowel Disease (IBD), where many molecular pathways are qualitatively well described but this information cannot be used in traditional quantitative mathematical models employed in drug development. We propose the elaboration and validation of a logic network for IBD able to capture the information available in the literature that will facilitate the identification/validation of therapeutic targets. Results In this article, we propose a logic model for Inflammatory Bowel Disease (IBD) which consists of 43 nodes and 298 qualitative interactions. The model presented is able to describe the pathogenic mechanisms of the disorder and qualitatively describes the characteristic chronic inflammation. A perturbation analysis performed on the IBD network indicates that the model is robust. Also, as described in clinical trials, a simulation of anti-TNFα, anti-IL2 and Granulocyte and Monocyte Apheresis showed a decrease in the Metalloproteinases node (MMPs), which means a decrease in tissue damage. In contrast, as clinical trials have demonstrated, a simulation of anti-IL17 and anti-IFNγ or IL10 overexpression therapy did not show any major change in MMPs expression, as corresponds to a failed therapy. The model proved to be a promising in silico tool for the evaluation of potential therapeutic targets, the identification of new IBD biomarkers, the integration of IBD polymorphisms to anticipate responders and non-responders and can be reduced and transformed in quantitative model/s

Confirmation of preeclampsia-like syndrome induced by severe COVID-19: an observational study

COVID-19; Preeclampsia; PregnancyCOVID-19; Preeclampsia; EmbarazoCOVID-19; Preeclampsia; EmbaràsBACKGROUND Since the outbreak of the COVID-19 pandemic, some studies have reported an increased preeclampsia incidence in pregnant women with SARS-CoV-2 infection. Several explanations for this association have been proposed, including a preeclampsia-like syndrome induced by severe COVID-19. This syndrome was described in a small case series and has not been confirmed in larger studies, and its effect on perinatal outcomes has not been studied. OBJECTIVE This study aimed to confirm the preeclampsia-like syndrome because of COVID-19 and to investigate its implications on pregnancy outcomes and prognosis. STUDY DESIGN This was a prospective, observational study conducted in a tertiary referral hospital. The inclusion criteria were pregnant women admitted to the intensive care unit for severe pneumonia because of COVID-19. They were classified into 3 groups based on clinical and laboratory findings: preeclampsia, preeclampsia-like syndrome, and women without preeclampsia features. The 3 cohorts were analyzed and compared at 3 different times: before, during, and after severe pneumonia. The main outcomes were incidence of adverse perinatal outcomes and signs and symptoms of PE, such as hypertension, proteinuria, thrombocytopenia, elevated liver enzymes, and increased angiogenic factors (soluble fms-like tyrosine kinase 1–to–placental growth factor ratio). RESULTS A total of 106 women were admitted to the intensive care unit because of severe pneumonia, and 68 women were included in the study. Of those, 53 (50.0%) did not meet the diagnostic criteria for preeclampsia and remained pregnant after pneumonia (non-preeclampsia); 7 (6.6%) met the diagnostic criteria for preeclampsia, had abnormal (>38) soluble fms-like tyrosine kinase 1–to–placental growth factor ratio (preeclampsia), and delivered during severe pneumonia, and 8 (7.5%) met the diagnostic criteria for preeclampsia, had normal (≤38) soluble fms-like tyrosine kinase 1–to–placental growth factor ratio (preeclampsia like), and did not deliver during pneumonia. Despite not having delivered, most preeclampsia-related features improved after severe pneumonia in women with preeclampsia-like syndrome. Women with preeclampsia had significantly poorer outcomes than women with preeclampsia-like syndrome or without preeclampsia. CONCLUSION More than 50% of women with severe COVID-19 and diagnostic criteria for preeclampsia may not be preeclampsia but a preeclampsia-like syndrome, which may affect up to 7.5% of women with severe COVID-19. Preeclampsia-like syndrome might have similar perinatal outcomes to those of normotensive women with severe pneumonia because of COVID-19. For these reasons, preeclampsia-like syndrome should be excluded by using soluble fms-like tyrosine kinase 1–to–placental growth factor ratio in future research and before making clinical decisions

Early-Stage Breast Cancer Detection in Breast Milk

Breast cancer; Breast milkCáncer de mama; Leche maternaCàncer de mama; Llet maternaBreast cancer occurring during pregnancy (PrBC) and postpartum (PPBC) is usually diagnosed at more advanced stages compared with other breast cancer, worsening its prognosis. PPBC is particularly aggressive, with increased metastatic risk and mortality. Thus, effective screening methods to detect early PrBC and PPBC are needed. We report for the first time that cell-free tumor DNA (ctDNA) is present in breast milk (BM) collected from patients with breast cancer. Analysis of ctDNA from BM detects tumor variants in 87% of the cases by droplet digital PCR, while variants remain undetected in 92% of matched plasma samples. Retrospective next-generation sequencing analysis in BM ctDNA recapitulates tumor variants, with an overall clinical sensitivity of 71.4% and specificity of 100%. In two cases, ctDNA was detectable in BM collected 18 and 6 months prior to standard diagnosis. Our results open up the potential use of BM as a new source for liquid biopsy for PPBC detection. Significance: For the first time, we show that BM obtained from patients with breast cancer carries ctDNA, surpassing plasma-based liquid biopsy for detection and molecular profiling of early-stage breast cancer, even prior to diagnosis by image.We thank the patients who participated in the study and donated samples for analysis for their generous contribution, with particular thanks to the first patient, Maite, and her daughter Àneu, who inspired us to initiate this study (oral consent to name the patient and her daughter was provided by the patient, and her legal partner provided written consent after patient's exitus). We are grateful to Javier Carmona for his valuable contributions and support in the manuscript's conceptualization, preparation, and revision. VHIO would like to acknowledge the Cellex Foundation for providing research facilities and equipment and the CERCA Programme from the Generalitat de Catalunya for their support of this research. The authors from VHIO acknowledge the State Agency for Research (Agencia Estatal de Investigación) for the financial support as a Center of Excellence Severo Ochoa (CEX2020-001024-S/AEI/10.13039/501100011033). This research is financially supported by the “El paseíco de la mama” Foundation. C. Saura was the recipient of a II FERO-GHD grant from the FERO Foundation (FERO/5086), a Junior Clinical award from the Spanish Association Against Cancer Foundation (FAECC; CLJUN212026ORTI), and a SEOM-Daiichi Sankyo grant for its support on the Breast Cancer Research Projects 2021 (SEOM/FECMA2022) and received funding from the Department of Health (Generalitat de Catalunya SLT008/18/00198) and from the Instituto de Salud Carlos III (ISCIII) and Fondo Europeo de Desarrollo Regional (FEDER), cofunded by the European Union (PI21/01020). C. Ortiz was the recipient of a Junior Clinician award from the FAECC (CLJUN212026ORTI) and a SEOM-Daiichi Sankyo grant for its support on the Breast Cancer Research Projects 2021 (SEOM/FECMA2022), and received funding from the Department of Health (Generalitat de Catalunya SLT008/18/00198). N. Bayó-Puxan received funding from the Department of Health (Generalitat de Catalunya SLT008/18/00205), MCIN/AEI/10.13039/501100011033 (GPE2022-001029) and MCIN/AEI/10.130.39/501100011033, and the European Union “Next GenerationEU/PRTR” (ECT2020-000827). J.M. Miquel received funding from the Department of Health (Generalitat de Catalunya SLT008/18/00205), MCIN/AEI/10.130.39/501100011033, and the European Union “Next GenerationEU/PRTR” (ECT2020-000827). J. Arribas is funded by the Breast Cancer Research Foundation (BCRF-23-008), Instituto de Salud Carlos III (project reference numbers AC15/00062, CB16/12/00449, and PI22/00001), and the European Commission under the framework of the ERA-NET TRANSCAN-2 initiative cofinanced by FEDER and Asociación Española Contra el Cáncer. A. Vivancos was the recipient of a project award from the FAECC (AVP/18/AECC/3219) and received funding from the Advanced Molecular Diagnostic (DIAMAV) program from the FERO Foundation (8361) and from ISDIN for supporting the development of liquid biopsy applications at the Cancer Genomics Lab (1848). M. Sansó was the recipient of a II FERO-GHD grant from the FERO Foundation (FERO/5086) and an investigator award from the FAECC (INVES19056SANS), and received funding from the Health Research Institute of the Balearic Islands (IdISBa), the RADIX-Janssen program (RADIX/JANSSEN21/01), and the Miguel Servet Program funded by the ISCIII (CP22/00131)

Longitudinal changes in adherence to the portfolio and DASH dietary patterns and cardiometabolic risk factors in the PREDIMED-Plus study

[Background & aims]: The Portfolio and Dietary Approaches to Stop Hypertension (DASH) diets have been shown to lower cardiometabolic risk factors in randomized controlled trials (RCTs). However, the Portfolio diet has only been assessed in RCTs of hyperlipidemic patients. Therefore, to assess the Portfolio diet in a population with metabolic syndrome (MetS), we conducted a longitudinal analysis of one-year data of changes in the Portfolio and DASH diet scores and their association with cardiometabolic risk factors in Prevención con Dieta Mediterránea (PREDIMED)-Plus trial. [Methods]: PREDIMED-Plus is an ongoing clinical trial (Trial registration: ISRCTN89898) conducted in Spain that includes 6874 older participants (mean age 65 y, 48% women) with overweight/obesity fulfilling at least three criteria for MetS. Data for this analysis were collected at baseline, six months and one year. Adherence to the Portfolio and DASH diet scores were derived from a validated 143-item food frequency questionnaire. We used linear mixed models to examine the associations of 1-SD increase and quartile changes in the diet scores with concomitant changes in cardiometabolic risk factors. [Results]: After adjusting for several potential confounders, a 1-SD increase in the Portfolio diet score was significantly associated with lower HbA1c (β [95% CI]: −0.02% [−0.02, −0.01], P < 0.001), fasting glucose (−0.47 mg/dL [−0.83, −0.11], P = 0.01), triglycerides (−1.29 mg/dL [−2.31, −0.28], P = 0.01), waist circumference (WC) (−0.51 cm [−0.59, −0.43], P < 0.001), and body mass index (BMI) (−0.17 kg/m2 [−0.19, −0.15], P < 0.001). A 1-SD increase in the DASH diet score was significantly associated with lower HbA1c (−0.03% [−0.04, −0.02], P < 0.001), glucose (−0.84 mg/dL [−1.18, −0.51], P < 0.001), triglycerides (−3.38 mg/dL [−4.37, −2.38], P < 0.001), non-HDL-cholesterol (−0.47 mg/dL [−0.91, −0.04], P = 0.03), WC (−0.69 cm [−0.76, −0.60 cm], P < 0.001), BMI (−0.25 kg/m2 [−0.28, −0.26 kg/m2], P < 0.001), systolic blood pressure (−0.57 mmHg [−0.81, −0.32 mmHg], P < 0.001), diastolic blood pressure (−0.15 mmHg [−0.29, −0.01 mmHg], P = 0.03), and with higher HDL-cholesterol (0.21 mg/dL [0.09, 0.34 mg/dL, P = 0.001]). Similar associations were seen when both diet scores were assessed as quartiles, comparing extreme categories of adherence. [Conclusions]: Among older adults at high cardiovascular risk with MetS, greater adherence to the Portfolio and DASH diets showed significant favourable prospective associations with several clinically relevant cardiometabolic risk factors. Both diets are likely beneficial for cardiometabolic risk reduction.The PREDIMED-Plus trial was supported by the Spanish government's official funding agency for biomedical research, ISCIII, through the Fondo de Investigación para la Salud (FIS) and co-funded by European Union ERDF/ESF, “A way to make Europe”/“Investing in your future” (five coordinated FIS projects led by JS-S and JVid, including the following projects: PI13/00673, PI13/00492, PI13/00272, PI13/01123, PI13/00462, PI13/00233, PI13/02184, PI13/00728, PI13/01090, PI13/01056, PI14/01722, PI14/00636, PI14/00618, PI14/00696, PI14/01206, PI14/01919, PI14/00853, PI14/01374, PI14/00972, PI14/00728, PI14/01471, PI16/00473, PI16/00662, PI16/01873, PI16/01094, PI16/00501, PI16/00533, PI16/00381, PI16/00366, PI16/01522, PI16/01120, PI17/00764, PI17/01183,PI17/00855, PI17/01347, PI17/00525, PI17/01827, PI17/00532, PI17/00215, PI17/01441, PI17/00508, PI17/01732, PI17/00926, PI19/00957, PI19/00386, PI19/00309, PI19/01032, PI19/00576, PI19/00017, PI19/01226, PI19/00781, PI19/01560, and PI19/01332), the Special Action Project entitled: Implementación y evaluación de una intervención intensiva sobre la actividad física Cohorte PREDIMED-Plus grant to JS-S, the European Research Council (Advanced Research Grant 2014–2019, 340918) to MÁM-G, the Recercaixa Grant to JS-S (2013ACUP00194), grants from the Consejería de Salud de la Junta de Andalucía (PI0458/2013, PS0358/2016, and PI0137/2018), a grant from the Generalitat Valenciana (PROMETEO/2017/017), a SEMERGEN grant, and funds from the European Regional Development Fund (CB06/03). This research was also partially funded by EU-H2020 Grant (EAT2BENICE/H2020-SFS-2016-2; Ref 728018). Study resulting from the SLT006/17/00246 grant, funded by the Department of Health of the Generalitat de Catalunya by the call “Acció instrumental de programes de recerca orientats en l'àmbit de la recerca i la innovació en salut”. We thank CERCA Programme/Generalitat de Catalunya for institutional support. This work is partially supported by ICREA under the ICREA Academia programme. IP-G receives a grant from the Spanish Ministry of Education, Culture and Sports (FPU 17/01925). MRBL was supported by “Miguel Servet Type I” program (CP15/00028) from the ISCIII-Madrid (Spain), cofinanced by the Fondo Europeo de Desarrollo Regional-FEDER. AJG was supported by the Nora Martin Fellowship in Nutritional Sciences, the Banting & Best Diabetes Centre Tamarack Graduate Award in Diabetes Research, the Peterborough K.M. Hunter Charitable Foundation Graduate Award and an Ontario Graduate Scholarship. PH-A was supported by a postdoctoral fellowship (Juan de la Cierva-Formación), FJCI-2017–32205, funded by the Ministry of Science and Innovation. RE group has been supported by the ‘Ajut 2017-2021 SGR 1717 from the Generalitat de Catalunya. DJAJ was funded by the Government of Canada through the Canada Research Chair Endowment. JK was supported by the ‘FOLIUM’ programme within the FUTURMed project from the Fundación Instituto de Investigación Sanitaria Illes Balears (financed by 2017 annual plan of the sustainable tourism tax and at 50% with charge to the ESF Operational Program 2014–2020 of the Balearic Islands). JLS was funded by a Diabetes Canada Clinician Scientist Award