@article {456, title = {Integrative multi-omics analysis of childhood aggressive behavior}, journal = {Behavior Genetics}, volume = {53}, year = {2023}, pages = {101{\textendash}117}, abstract = {

This study introduces and illustrates the potential of an integrated multi-omics approach in investigating the underlying biology of complex traits such as childhood aggressive behavior. In 645 twins (cases\ =\ 42\%), we trained single- and integrative multi-omics models to identify biomarkers for subclinical aggression and investigated the connections among these biomarkers. Our data comprised transmitted and two non-transmitted polygenic scores (PGSs) for 15 traits, 78,772 CpGs, and 90 metabolites. The single-omics models selected 31 PGSs, 1614 CpGs, and 90 metabolites, and the multi-omics model comprised 44 PGSs, 746 CpGs, and 90 metabolites. The predictive accuracy for these models in the test (N\ =\ 277, cases\ =\ 42\%) and independent clinical data (N\ =\ 142, cases\ =\ 45\%) ranged from 43 to 57\%. We observed strong connections between DNA methylation, amino acids, and parental non-transmitted PGSs for ADHD, Autism Spectrum Disorder, intelligence, smoking initiation, and self-reported health. Aggression-related omics traits link to known and novel risk factors, including inflammation, carcinogens, and smoking.

}, keywords = {childhood aggression, DNA methylation, Genetic nurturing, metabolomics, Multi-omics, polygenic scores}, doi = {10.1007/s10519-022-10126-7}, author = {Hagenbeek, Fiona A and van Dongen, Jenny and Pool, Ren{\'e} and Roetman, Peter J and Harms, Amy C and Hottenga, Jouke Jan and Kluft, Cornelis and Colins, Olivier F and van Beijsterveldt, Catharina E M and Fanos, Vassilios and Ehli, Erik A and Hankemeier, Thomas and Vermeiren, Robert R J M and Bartels, Meike and D{\'e}jean, S{\'e}bastien and Boomsma, Dorret I} } @article {471, title = {Integrative multi-omics analysis of genomic, epigenomic, and metabolomics data leads to new insights for Attention-Deficit/Hyperactivity Disorder}, journal = {American Journal of Medical Genetics Part B: Neuropsychiatric Genetics}, year = {2023}, pages = {e32955}, abstract = {

The evolving field of multi-omics combines data and provides methods for simultaneous analysis across several omics levels. Here, we integrated genomics (transmitted and non-transmitted polygenic scores [PGSs]), epigenomics, and metabolomics data in a multi-omics framework to identify biomarkers for Attention-Deficit/Hyperactivity Disorder (ADHD) and investigated the connections among the three omics levels. We first trained single- and next multi-omics models to differentiate between cases and controls in 596 twins (cases\ =\ 14.8\%) from the Netherlands Twin Register (NTR) demonstrating reasonable in-sample prediction through cross-validation. The multi-omics model selected 30 PGSs, 143 CpGs, and 90 metabolites. We confirmed previous associations of ADHD with glucocorticoid exposure and the transmembrane protein family TMEM, show that the DNA methylation of the MAD1L1 gene associated with ADHD has a relation with parental smoking behavior, and present novel findings including associations between indirect genetic effects and CpGs of the STAP2 gene. However, out-of-sample prediction in NTR participants (N\ =\ 258, cases\ =\ 14.3\%) and in a clinical sample (N\ =\ 145, cases\ =\ 51\%) did not perform well (range misclassification was [0.40, 0.57]). The results highlighted connections between omics levels, with the strongest connections between non-transmitted PGSs, CpGs, and amino acid levels and show that multi-omics designs considering interrelated omics levels can help unravel the complex biology underlying ADHD.

}, keywords = {ADHD, DNA methylation, genetic nurture, metabolites, Multi-omics, polygenic scores}, doi = {10.1002/ajmg.b.32955}, author = {Hubers, Nikki and Hagenbeek, Fiona A and Pool, Ren{\'e} and D{\'e}jean, S{\'e}bastien and Harms, Amy C and Roetman, Peter J and van Beijsterveldt, Catharina E M and Fanos, Vassilios and Ehli, Erik A and Vermeiren, Robert R J M and Bartels, Meike and Hottenga, Jouke Jan and Hankemeier, Thomas and van Dongen, Jenny and Boomsma, Dorret I} } @article {457, title = {Heritability of urinary amines, organic acids, and steroid hormones in children}, journal = {Metabolites}, volume = {12}, year = {2022}, pages = {474}, abstract = {

Variation in metabolite levels reflects individual differences in genetic and environmental factors. Here, we investigated the role of these factors in urinary metabolomics data in children. We examined the effects of sex and age on 86 metabolites, as measured on three metabolomics platforms that target amines, organic acids, and steroid hormones. Next, we estimated their heritability in a twin cohort of 1300 twins (age range: 5.7-12.9 years). We observed associations between age and 50 metabolites and between sex and 21 metabolites. The monozygotic (MZ) and dizygotic (DZ) correlations for the urinary metabolites indicated a role for non-additive genetic factors for 50 amines, 13 organic acids, and 6 steroids. The average broad-sense heritability for these amines, organic acids, and steroids was 0.49 (range: 0.25-0.64), 0.50 (range: 0.33-0.62), and 0.64 (range: 0.43-0.81), respectively. For 6 amines, 7 organic acids, and 4 steroids the twin correlations indicated a role for shared environmental factors and the average narrow-sense heritability was 0.50 (range: 0.37-0.68), 0.50 (range; 0.23-0.61), and 0.47 (range: 0.32-0.70) for these amines, organic acids, and steroids. We conclude that urinary metabolites in children have substantial heritability, with similar estimates for amines and organic acids, and higher estimates for steroid hormones.

}, keywords = {amines, children, classical twin design, heritability, metabolites, organic acids, steroid hormones, urine}, doi = {10.3390/metabo12060474}, author = {Hagenbeek, Fiona A and van Dongen, Jenny and Pool, Ren{\'e} and Harms, Amy C and Roetman, Peter J and Fanos, Vassilios and van Keulen, Britt J and Walker, Brian R and Karu, Naama and Hulshoff Pol, Hilleke E and Rotteveel, Joost and Finken, Martijn J J and Vermeiren, Robert R J M and Kluft, Cornelis and Bartels, Meike and Hankemeier, Thomas and Boomsma, Dorret I} } @article {465, title = {Overview of CAPICE - Childhood and Adolescence Psychopathology: unravelling the complex etiology by a large Interdisciplinary Collaboration in Europe - an EU Marie Sk{\l}odowska-Curie International Training Network}, journal = {European Child \& Adolescent Psychiatry}, volume = {31}, year = {2022}, pages = {829{\textendash}839}, abstract = {

The Roadmap for Mental Health and Wellbeing Research in Europe (ROAMER) identified child and adolescent mental illness as a priority area for research. CAPICE (Childhood and Adolescence Psychopathology: unravelling the complex etiology by a large Interdisciplinary Collaboration in Europe) is a European Union (EU) funded training network aimed at investigating the causes of individual differences in common childhood and adolescent psychopathology, especially depression, anxiety, and attention deficit hyperactivity disorder. CAPICE brings together eight birth and childhood cohorts as well as other cohorts from the EArly Genetics and Life course Epidemiology (EAGLE) consortium, including twin cohorts, with unique longitudinal data on environmental exposures and mental health problems, and genetic data on participants. Here we describe the objectives, summarize the methodological approaches and initial results, and present the dissemination strategy of the CAPICE network. Besides identifying genetic and epigenetic variants associated with these phenotypes, analyses have been performed to shed light on the role of genetic factors and the interplay with the environment in influencing the persistence of symptoms across the lifespan. Data harmonization and building an advanced data catalogue are also part of the work plan. Findings will be disseminated to non-academic parties, in close collaboration with the Global Alliance of Mental Illness Advocacy Networks-Europe (GAMIAN-Europe).

}, keywords = {anxiety, Attention deficit hyperactivity disorder (ADHD), Childhood and adolescence psychopathology, Depression, Psychiatric genetics}, doi = {10.1007/s00787-020-01713-2}, author = {Rajula, Hema Sekhar Reddy and Manchia, Mirko and Agarwal, Kratika and Akingbuwa, Wonuola A and Allegrini, Andrea G and Diemer, Elizabeth and Doering, Sabrina and Haan, Elis and Jami, Eshim S and Karhunen, Ville and Leone, Marica and Schellhas, Laura and Thompson, Ashley and van den Berg, St{\'e}phanie M and Bergen, Sarah E and Kuja-Halkola, Ralf and Hammerschlag, Anke R and J{\"a}rvelin, Marjo Riitta and Leval, Amy and Lichtenstein, Paul and Lundstr{\"o}m, Sebastian and Mauri, Matteo and Munaf{\`o}, Marcus R and Myers, David and Plomin, Robert and Rimfeld, Kaili and Tiemeier, Henning and Ystrom, Eivind and Fanos, Vassilios and Bartels, Meike and Middeldorp, Christel M} } @article {426, title = {Urinary Amine and organic acid metabolites evaluated as markers for childhood aggression: The ACTION biomarker study}, journal = {Frontiers in Psychiatry}, volume = {11}, year = {2020}, pages = {165}, abstract = {

Biomarkers are of interest as potential diagnostic and predictive instruments in personalized medicine. We present the first urinary metabolomics biomarker study of childhood aggression. We aim to examine the association of urinary metabolites and neurotransmitter ratios involved in key metabolic and neurotransmitter pathways in a large cohort of twins (N = 1,347) and clinic-referred children (N = 183) with an average age of 9.7 years. This study is part of ACTION (Aggression in Children: Unraveling gene-environment interplay to inform Treatment and InterventiON strategies), in which we developed a standardized protocol for large-scale collection of urine samples in children. Our analytical design consisted of three phases: a discovery phase in twins scoring low or high on aggression (N = 783); a replication phase in twin pairs discordant for aggression (N = 378); and a validation phase in clinical cases and matched twin controls (N = 367). In the discovery phase, 6 biomarkers were significantly associated with childhood aggression, of which the association of O-phosphoserine ($\beta$ = 0.36; SE = 0.09; p = 0.004), and gamma-L-glutamyl-L-alanine ($\beta$ = 0.32; SE = 0.09; p = 0.01) remained significant after multiple testing. Although non-significant, the directions of effect were congruent between the discovery and replication analyses for six biomarkers and two neurotransmitter ratios and the concentrations of 6 amines differed between low and high aggressive twins. In the validation analyses, the top biomarkers and neurotransmitter ratios, with congruent directions of effect, showed no significant associations with childhood aggression. We find suggestive evidence for associations of childhood aggression with metabolic dysregulation of neurotransmission, oxidative stress, and energy metabolism. Although replication is required, our findings provide starting points to investigate causal and pleiotropic effects of these dysregulations on childhood aggression.

}, keywords = {amines, biomarkers, childhood aggression, metabolites, metabolomics, neurotransmitters, organic acids, oxidative stress}, doi = {10.3389/fpsyt.2020.00165}, author = {Hagenbeek, Fiona A and Roetman, Peter J and Pool, Ren{\'e} and Kluft, Cornelis and Harms, Amy C and van Dongen, Jenny and Colins, Olivier F and Talens, Simone and van Beijsterveldt, Catharina E M and Vandenbosch, Marjolein M L J Z and de Zeeuw, Eveline L and D{\'e}jean, S{\'e}bastien and Fanos, Vassilios and Ehli, Erik A and Davies, Gareth E and Hottenga, Jouke Jan and Hankemeier, Thomas and Bartels, Meike and Vermeiren, Robert R J M and Boomsma, Dorret I} } @article {417, title = {DNA methylation signatures of breastfeeding in buccal cells collected in mid-childhood}, journal = {Nutrients}, volume = {11}, year = {2019}, pages = {2804}, abstract = {

Breastfeeding has long-term benefits for children that may be mediated via the epigenome. This pathway has been hypothesized, but the number of empirical studies in humans is small and mostly done by using peripheral blood as the DNA source. We performed an epigenome-wide association study (EWAS) in buccal cells collected around age nine (mean = 9.5) from 1006 twins recruited by the Netherlands Twin Register (NTR). An age-stratified analysis examined if effects attenuate with age (median split at 10 years; n10 = 489, mean age = 11.2). We performed replication analyses in two independent cohorts from the NTR (buccal cells) and the Avon Longitudinal Study of Parents and Children (ALSPAC) (peripheral blood), and we tested loci previously associated with breastfeeding in epigenetic studies. Genome-wide DNA methylation was assessed with the Illumina Infinium MethylationEPIC BeadChip (Illumina, San Diego, CA, USA) in the NTR and with the HumanMethylation450 Bead Chip in the ALSPAC. The duration of breastfeeding was dichotomized (\&$\#$39;never\&$\#$39; vs. \&$\#$39;ever\&$\#$39;). In the total sample, no robustly associated epigenome-wide significant CpGs were identified ($\alpha$ = 6.34 $\times$ 10-8). In the sub-group of children younger than 10 years, four significant CpGs were associated with breastfeeding after adjusting for child and maternal characteristics. In children older than 10 years, methylation differences at these CpGs were smaller and non-significant. The findings did not replicate in the NTR sample (n = 98; mean age = 7.5 years), and no nearby sites were associated with breastfeeding in the ALSPAC study (n = 938; mean age = 7.4). Of the CpG sites previously reported in the literature, three were associated with breastfeeding in children younger than 10 years, thus showing that these CpGs are associated with breastfeeding in buccal and blood cells. Our study is the first to show that breastfeeding is associated with epigenetic variation in buccal cells in children. Further studies are needed to investigate if methylation differences at these loci are caused by breastfeeding or by other unmeasured confounders, as well as what mechanism drives changes in associations with age.

}, keywords = {ALSPAC., breastfeeding, DNA methylation, EPIC, EWAS, NTR, twins}, doi = {10.3390/nu11112804}, author = {Odintsova, Veronika V and Hagenbeek, Fiona A and Suderman, Matthew and Caramaschi, Doretta and van Beijsterveldt, Catharina E M and Kallsen, Noah A and Ehli, Erik A and Davies, Gareth E and Sukhikh, Gennady T and Fanos, Vassilios and Relton, Caroline and Bartels, Meike and Boomsma, Dorret I and van Dongen, Jenny} } @article {230, title = {Childhood aggression and the co-occurrence of behavioural and emotional problems: results across ages 3{\textendash}16~years from multiple raters in six cohorts in the EU-ACTION project}, journal = {European Child {\&} Adolescent Psychiatry}, year = {2018}, month = {May}, abstract = {

Childhood aggression and its resulting consequences inflict a huge burden on affected children, their relatives, teachers, peers and society as a whole. Aggression during childhood rarely occurs in isolation and is correlated with other symptoms of childhood psychopathology. In this paper, we aim to describe and improve the understanding of the co-occurrence of aggression with other forms of childhood psychopathology. We focus on the co-occurrence of aggression and other childhood behavioural and emotional problems, including other externalising problems, attention problems and anxiety\–depression. The data were brought together within the EU-ACTION (Aggression in Children: unravelling gene-environment interplay to inform Treatment and InterventiON strategies) project. We analysed the co-occurrence of aggression and other childhood behavioural and emotional problems as a function of the child\&$\#$39;s age (ages 3 through 16\ years), gender, the person rating the behaviour (father, mother or self) and assessment instrument. The data came from six large population-based European cohort studies from the Netherlands (2x), the UK, Finland and Sweden (2x). Multiple assessment instruments, including the Child Behaviour Checklist (CBCL), the Strengths and Difficulties Questionnaire (SDQ) and Multidimensional Peer Nomination Inventory (MPNI), were used. There was a good representation of boys and girls in each age category, with data for 30,523 3- to 4-year-olds (49.5{\%} boys), 20,958 5- to 6-year-olds (49.6{\%} boys), 18,291 7- to 8-year-olds (49.0{\%} boys), 27,218 9- to 10-year-olds (49.4{\%} boys), 18,543 12- to 13-year-olds (48.9{\%} boys) and 10,088 15- to 16-year-olds (46.6{\%} boys). We replicated the well-established gender differences in average aggression scores at most ages for parental ratings. The gender differences decreased with age and were not present for self-reports. Aggression co-occurred with the majority of other behavioural and social problems, from both externalising and internalising domains. At each age, the co-occurrence was particularly prevalent for aggression and oppositional and ADHD-related problems, with correlations of around 0.5 in general. Aggression also showed substantial associations with anxiety\–depression and other internalizing symptoms (correlations around 0.4). Co-occurrence for self-reported problems was somewhat higher than for parental reports, but we found neither rater differences, nor differences across assessment instruments in co-occurrence patterns. There were large similarities in co-occurrence patterns across the different European countries. Finally, co-occurrence was generally stable across age and sex, and if any change was observed, it indicated stronger correlations when children grew older. We present an online tool to visualise these associations as a function of rater, gender, instrument and cohort. In addition, we present a description of the full EU-ACTION projects, its first results and the future perspectives.

Related interactive tool here.

}, issn = {1435-165X}, doi = {10.1007/s00787-018-1169-1}, url = {https://doi.org/10.1007/s00787-018-1169-1}, author = {Meike Bartels and Anne Hendriks and Matteo Mauri and Eva Krapohl and Alyce Whipp and Koen Bolhuis and Conde, Lucia Colodro and Luningham, Justin and Fung Ip, Hill and Fiona Hagenbeek and Roetman, Peter and Gatej, Raluca and Lamers, Audri and Michel G. Nivard and Jenny van Dongen and Lu, Yi and Christel Middeldorp and van Beijsterveldt, Toos and Vermeiren, Robert and Thomas Hankemeier and Kluft, Cees and Medland, Sarah and Lundstr{\"o}m, Sebastian and Richard J. Rose and Pulkkinen, Lea and Vuoksimaa, Eero and Korhonen, Tellervo and Martin, Nicholas G. and Gitta Lubke and Catrin Finkenauer and Vassilios Fanos and Henning Tiemeier and Lichtenstein, Paul and Robert Plomin and Kaprio, Jaakko and Dorret I. Boomsma} } @article {239, title = {Selected Lectures of the 14th International Workshop on Neonatology. LECT 33, Sharing research: communication can help}, journal = {Journal of Pediatric and Neonatal Individualized Medicine (JPNIM)}, volume = {7}, year = {2018}, month = {10/2018}, pages = {41-43}, type = {Proceedings of the 14{\textdegree} International Workshop on Neonatology, The revolution of microbiomics, Cagliari (Italy), October 24-27}, doi = {10.7363/070238}, url = {http://www.jpnim.com/index.php/jpnim/article/view/070238}, author = {Matteo Mauri and Vassilios Fanos} } @article {240, title = {Selected Lectures of the 14th International Workshop on Neonatology. LECT 31, Unraveling the complex genetics of childhood and adolescent psychopathology, including aggression, through international collaborations: update on the CAPICE and ACTION projects}, journal = {Journal of Pediatric and Neonatal Individualized Medicine (JPNIM)}, volume = {7}, year = {2018}, month = {10/2018}, pages = {38-39}, type = {Proceedings of the 14{\textdegree} International Workshop on Neonatology, The revolution of microbiomics, Cagliari (Italy), October 24-27}, doi = {10.7363/070238}, url = {http://www.jpnim.com/index.php/jpnim/article/view/070238}, author = {Mirko Manchia and Vassilios Fanos} } @article {212, title = {Selected Abstracts of the 13th International Workshop on Neonatology. ABS 72, An interactive tool shows comorbidities of child aggression with other childhood psychopathologies. Utilities and statistics of the website www.action-euproject.eu}, journal = {Journal of Pediatric and Neonatal Individualized Medicine (JPNIM)}, volume = {6}, year = {2017}, month = {10/2017}, type = {Proceedings of the 13{\textdegree} International Workshop on Neonatology, Twins: identical but different, Cagliari (Italy), October 25-28}, doi = {10.7363/060234}, url = {http://www.jpnim.com/index.php/jpnim/article/view/060234/468}, author = {Matteo Mauri and Anne Hendriks and Vassilios Fanos and Dorret I. Boomsma and Meike Bartels} } @article {208, title = {Selected Lectures of the 13th International Workshop on Neonatology. LECT 71, Aggressiveness from fetus to adult: the twins case}, journal = {Journal of Pediatric and Neonatal Individualized Medicine (JPNIM)}, volume = {6}, year = {2017}, month = {10/2017}, pages = {97-98}, type = {Proceedings of the 13{\textdegree} International Workshop on Neonatology, Twins: identical but different, Cagliari (Italy), October 25-28}, abstract = {

PDF Available here

}, keywords = {13th International Workshop on Neonatology, 2017, Cagliari}, doi = {10.7363/060235}, url = {http://www.jpnim.com/index.php/jpnim/article/view/060235/467}, author = {Pintus, Roberta and Dess{\`\i}, Angelica and Antonio Noto and Vassilios Fanos} } @article {209, title = {Selected Lectures of the 13th International Workshop on Neonatology. LECT 70, Integrating microbiomics and metabolomics data in behavioral complex traits: a role in aggression?}, journal = {Journal of Pediatric and Neonatal Individualized Medicine (JPNIM)}, volume = {6}, year = {2017}, month = {10/2017}, pages = {96}, type = {Proceedings of the 13{\textdegree} International Workshop on Neonatology, Twins: identical but different, Cagliari (Italy), October 25-28}, abstract = {

PDF Available here

}, keywords = {13th International Workshop on Neonatology, 2017, Aggression, Cagliari}, doi = {10.7363/060235}, url = {http://www.jpnim.com/index.php/jpnim/article/view/060235/467}, author = {Mirko Manchia and Vassilios Fanos} } @article {170, title = {Targeting aggression in severe mental illness: the predictive role of genetic, epigenetic, and metabolomic markers}, journal = {Progress in Neuro-Psychopharmacology and Biological Psychiatry}, volume = {77,}, year = {2017}, month = {07/2017}, pages = {32{\textendash}41}, abstract = {

Human aggression is a complex and widespread social behavior that is overrepresented in individuals affected by severe mental illness (SMI), such as schizophrenia (SCZ), bipolar disorder (BD), autism spectrum disorder (ASD), and attention-deficit/hyperactivity disorder (ADHD). A substantial proportion of the liability threshold for aggressive behavior is determined by genetic factors, and environmental moderators might precipitate the manifestation of this behavioral phenotype through modification of gene expression via the epigenetic machinery. These specific alterations in the genetic and epigenetic make-up of aggressive individuals might determine distinct biochemical signatures detectable through metabolomics. An additional pathophysiological component playing a role in aggressive behavior might be determined by alterations of gut microbiota. Here, we present a selective review of human data on genetic, epigenetic, and metabolomic markers of aggressive behavior in SMI, discussing also the available evidence on the role of microbiome alterations. Clinical implication of these evidences, as well as future perspectives, will be discussed.

}, doi = {http://doi.org/10.1016/j.pnpbp.2017.03.024}, author = {Mirko Manchia and Vassilios Fanos} } @article {162, title = {Fetal programming of neuropsychiatric disorders.}, journal = {Birth Defects Res C Embryo Today}, volume = {108}, year = {2016}, month = {2016 Sep}, pages = {207-223}, abstract = {

Starting from the Developmental Origins of Health and Disease (DOHaD) hypotheses proposed by David Barker, namely fetal programming, in the past years, there is a growing evidence of the major role played by epigenetic factors during the intrauterine life and the perinatal period. Furthermore, it has been assessed that these factors can affect the health status in infancy and even in adulthood. In this review, we focus our attention on the fetal programming of the brain, analyzing the most recent literature concerning the epigenetic factors that can influence the development of neuropsychiatric disorders such as bipolar disorders, major depressive disorders, and schizophrenia. The perinatal epigenetic factors have been divided in two main groups: maternal factors and fetal factors. The maternal factors include diet, smoking, alcoholism, hypertension, malnutrition, trace elements, stress, diabetes, substance abuse, and exposure to environmental toxicants, while the fetal factors include hypoxia/asphyxia, placental insufficiency, prematurity, low birth weight, drugs administered to the mother or to the baby, and all factors causing intrauterine growth restriction. A better comprehension of the possible mechanisms underlying the pathogenesis of these diseases may help researchers and clinicians develop new diagnostic tools and treatments to offer these patients a tailored medical treatment strategy to improve their quality of life. Birth Defects Research (Part C) 108:207-223, 2016. \© 2016 Wiley Periodicals, Inc.

}, issn = {1542-9768}, doi = {10.1002/bdrc.21139}, author = {Faa, Gavino and Mirko Manchia and Pintus, Roberta and Gerosa, Clara and Marcialis, Maria Antonietta and Vassilios Fanos} } @article {78, title = {Selected Abstracts of the 11th International Workshop on Neonatology. ABS 100, Brain misteries from the womb to the adult: is aggression congenital?}, journal = {Journal of Pediatric and Neonatal Individualized Medicine (JPNIM)}, volume = {4}, year = {2015}, month = {10/2015}, pages = {231}, type = {Proceedings of the 11{\textdegree} International Workshop on Neonatology and Satellite Meetings, Cagliari (Italy), October 26-31}, abstract = {

PDF Available here

}, doi = {10.7363/040249}, url = {http://www.jpnim.com/index.php/jpnim/article/view/040249}, author = {Mirko Manchia and Vassilios Fanos} } @article {77, title = {Selected Abstracts of the 11th International Workshop on Neonatology. ABS 84, Biomarkers of aggression: metabolomics}, journal = {Journal of Pediatric and Neonatal Individualized Medicine (JPNIM)}, volume = {4}, year = {2015}, month = {10/2015}, pages = {210-211}, type = {Proceedings of the 11{\textdegree} International Workshop on Neonatology and Satellite Meetings, Cagliari (Italy), October 26-31}, abstract = {

PDF Available here

}, keywords = {11th International Workshop on Neonatology, 2015, Cagliari}, doi = {10.7363/040249}, url = {http://www.jpnim.com/index.php/jpnim/article/view/040249}, author = {Antonio Noto and Vassilios Fanos} }