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The Metabolic Maternal-Fetal Research Group is a multidisciplinary group (basic and clinical research staff in pediatrics and gynecology) that studies several metabolic and epigenetic markers associated with pre and postnatal development in order to identify the pediatric population at risk of developing metabolic diseases.

The group is characterized by extensive experience in both clinical and basic applied research, supported by competitive and overlapping funding of National and European research projects, as well as by publications in international journals of the first quartile and decile in the line of energy metabolism from gestation to the pediatric age.

Main lines of research

Main line of research:

  • Fetal metabolic programming and its impact on the child's health

Specific lines of research:

  • Metabolic programming and low birth weight:
    • Study new biomarkers to identify small-for-gestational-age (SGA) newborns that will show postnatal catch-up growth
    • Determine the effect of metformin on recuperative growth.
  • Epigenetics and metabolic programming of childhood obesity:
    • Study the influence of placental fatty acids as predictors of childhood obesity.
    • Identify epigenetic marks (miRNA and DNA methylation) during gestation (maternal plasma, placenta and umbilical cord) as predictors of childhood obesity.
Strategic objectives
  • Generate new knowledge about the pathophysiology of low birth weight
  • Study the mechanisms involved in metabolic programming during pregnancy
  • Describe new biomarkers that may be useful to identify the pediatric population susceptible to developing metabolic problems and obesity
  • Develop new technologies applied to maternal and child health
Publications
Carreras-Badosa G, Remesar X, Prats-Puig A, Xargay-Torrent S, Lizarraga-Mollinedo E, de Zegher F, Ibáñez L, Bassols J, López-Bermejo A

<i>Dlk1</i> expression relates to visceral fat expansion and insulin resistance in male and female rats with postnatal catch-up growth (vol 86, pg 195, 2019)

PEDIATRIC RESEARCH, 2024, 95, 406-406 dx.doi.org/10.1038/s41390-023-02691-2
Mas-Parés B, Xargay-Torrent S, Carreras-Badosa G, Gómez-Vilarrubla A, Niubó-Pallàs M, Tibau J, Reixach J, Prats-Puig A, de Zegher F, Ibañez L, Bassols J, López-Bermejo A

Gestational Caloric Restriction Alters Adipose Tissue Methylome and Offspring's Metabolic Profile in a Swine Model

INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2024, 25 dx.doi.org/10.3390/ijms25021128
Gómez-Vilarrubla A, Mas-Parés B, Carreras-Badosa G, Bonmatí-Santané A, Martínez-Calcerrada JM, Niubó-Pallàs M, de Zegher F, Ibáñez L, López-Bermejo A, Bassols J

DNA Methylation Signatures in Paired Placenta and Umbilical Cord Samples: Relationship with Maternal Pregestational Body Mass Index and Offspring Metabolic Outcomes

Biomedicines, 2024, 12 dx.doi.org/10.3390/biomedicines12020301
Osinga JAJ, Liu Y, Männistö T, Vafeiadi M, Tao FB, Vaidya B, Vrijkotte TGM, Mosso L, Bassols J, López-Bermejo A, Boucai L, Aminorroaya A, Feldt-Rasmussen U, Hisada A, Yoshinaga J, Broeren MAC, Itoh S, Kishi R, Ashoor G, Chen L, Veltri F, Lu X, Taylor PN, Brown SJ, Chatzi L, Popova PV, Grineva EN, Ghafoor F, Pirzada A, Kianpour M, Oken E, Suvanto E, Hattersley A, Rebagliato M, Riaño-Galán I, Irizar A, Vrijheid M, Delgado-Saborit JM, Fernández-Somoano A, Santa-Marina L, Boelaert K, Brenta G, Dhillon-Smith R, Dosiou C, Eaton JL, Guan H, Lee SY, Maraka S, Morris-Wiseman LF, Nguyen CT, Shan Z, Guxens M, Pop VJM, Walsh JP, Nicolaides KH, D'Alton ME, Visser WE, Carty DM, Delles C, Nelson SM, Alexander EK, Chaker L, Palomaki GE, Peeters RP, Bliddal S, Huang K, Poppe KG, Pearce EN, Derakhshan A, Korevaar TIM

Risk Factors for Thyroid Dysfunction in Pregnancy: An Individual Participant Data Meta-Analysis

Thyroid, 2024, 34, 646-658 dx.doi.org/10.1089/thy.2023.0646
Martínez-Diago, C, Mademont-Soler, I, Bonmati, A, Rodo, C, Alberch, A, Obon, M, Fuertes, B, Maroto, A

Novel variant in <i>ACTA1</i> identified in a fetus with akinesia deformation sequence and cortical development delay

PRENATAL DIAGNOSIS, 2024, 44, 996-998 dx.doi.org/10.1002/pd.6568
Bonmatí-Santané, A, López, RC, Saltos, JJA, Martínez, JC, Paez, CN, Sánchez, JP, Figueredo, NV, González, AM

Managing a Pregnancy in the Presence of the Rare Blood Group Antibody PP1Pk

Womens Health Reports, 2024, 5, 319-323 dx.doi.org/10.1089/whr.2023.0120
Vasileva, F, Carreras-Badosa, G, Bassols, J, Serrano-Ferrer, J, Font-Lladó, R, López-Ros, V, Osiniri, I, Martínez-Calcerrada, JM, San Millán, M, López-Bermejo, A, Prats-Puig, A

Insulin resistance, C-reactive protein, diastolic to systolic blood pressure ratio and epicardial fat are related to sedentary time, and inversely related to physical activity in school-aged children

Frontiers in Public Health, 2024, 12, 1339860-1339860 dx.doi.org/10.3389/fpubh.2024.1339860
Osinga JAJ, Nelson SM, Walsh JP, Ashoor G, Palomaki GE, López-Bermejo A, Bassols J, Aminorroaya A, Broeren MAC, Chen L, Lu X, Brown SJ, Veltri F, Huang K, Männistö T, Vafeiadi M, Taylor PN, Tao FB, Chatzi L, Kianpour M, Suvanto E, Grineva EN, Nicolaides KH, D'Alton ME, Poppe KG, Alexander E, Feldt-Rasmussen U, Bliddal S, Popova PV, Chaker L, Visser WE, Peeters RP, Derakhshan A, Vrijkotte TGM, Pop VJM, Korevaar TIM

Defining gestational thyroid dysfunction through modified non-pregnancy reference intervals: an individual participant meta-analysis.

JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM, 2024, 109, 2151-2158 dx.doi.org/10.1210/clinem/dgae528
López, B, Galera, D, López-Bermejo, A, Bassols, J

Frequent Patterns of Childhood Overweight from Longitudinal Data on Parental and Early-Life of Infants Health

Artificial Intelligence In Medicine, Pt I, Aime 2024, 2024, 14844, 64-69 dx.doi.org/10.1007/978-3-031-66538-7_7
Marzuillo P, Carreras-Badosa G, Martínez-Calcerrada JM, Guarino S, Palma PL, Petrone D, Miraglia Del Giudice E, Bassols J, López-Bermejo A

Body surface area-based kidney length percentiles misdiagnose small kidneys in children with overweight/obesity

PEDIATRIC NEPHROLOGY, 2023, 38, 1523-1532 dx.doi.org/10.1007/s00467-022-05718-8
Competitive projects
Metabolic and Maternal-fetal

Inteligencia artificial, epigenética y predicción de la obesidad infantil

Codi oficial: IA, epigenetica y predicción de la obesidad infantil Start date:01/06/2022 Data fi: 31/12/2025 Investigador/a principal: JUDIT BASSOLS CASADEVALL Organisme finançador: SOCIEDAD ESPAÑOLA DE ENDOCRINOLOGÍA PEDIÁTRICA (SEEP)
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