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'''Luigi Barberini''' is the Coordinator of the Italian Research Unit “Unità di Analisi dei Segnali e delle BioImmagini”, University of Cagliari, Italy<ref name="Home">[https://people.unica.it/uasb/ Home - UASB - Università di Cagliari]</ref>.
'''Luigi Barberini''' is a Medical Physics Specialist, Expert for the safety in NIR (Non Ionizing Radiation), Expert for the Magnetic Resonance Safety, Expert for the Medical LASERs Safety, Expert for Electromagnetic Fields Safety and Expert in Radioprotection. He is an official of the University of Cagliari and he is the head of the Medical and Health Physics service of the University Hospital of Cagliari.”<ref name="Home">[https://people.unica.it/uasb/ Home - UASB - Università di Cagliari]</ref>.


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Revision as of 08:01, 1 March 2023

Luigi Barberini is a Medical Physics Specialist, Expert for the safety in NIR (Non Ionizing Radiation), Expert for the Magnetic Resonance Safety, Expert for the Medical LASERs Safety, Expert for Electromagnetic Fields Safety and Expert in Radioprotection. He is an official of the University of Cagliari and he is the head of the Medical and Health Physics service of the University Hospital of Cagliari.”[1].

Luigi Barberini
Born
July 1964, Rome, Italy
Nationality
Italian
Education
University of Cagliari, Italy. Specialization in Medical Physics, 2013
University of Cagliari, Italy. PhD Chemistry, 2007
University of Rome “La Sapienza, Italy Physic Degree, 1998
Fields
Medical Physics, Bioimages Analysis, Networks Analysis, Metabolomics
Institutions
AOUCA Azienda Ospedaliero-Universitaria di Cagliari, Italy (2016-Present)
University of Cagliari, Italy (1998-Present)
Notes
Top Italian Scientist in Physics [2]

He is a Specialists in Medical Physics, Expert for the safety in NIR (Non Ionizing Radiation), Expert for the Magnetic Resonance Safety, Expert for the Medical LASERs Safety, Expert for Electromagnetic Fields Safety and Expert in Radioprotection.

His researches are devoted to apply the brain analysis technique as EEG and fMRI and developing new methods of integration between imaging and innovative biological techniques (Metabolomics) to improve the quality of diagnosis processes. As Coordinator of the medical Physics Service of the AOUCA [3], his contributions are strictly related to quality safety and cost-effectiveness of healthcare services. From this point of view, his activities are patient-oriented, and he is involved in the specification, selection, acceptance testing, commissioning, quality assurance/control and optimised clinical use of medical devices. Further, his activity regard patient risks evaluation and protection from all associated physical agents (x-rays, electromagnetic fields, laser light, radionuclides activity), including the prevention of unintended or accidental exposures.

Author of the following book chapters:

  1. Imaging in Neurodegenerative Disorders.
  2. Developmental Nephrology: from Embryology to Metabolomics.
  3. Magnetic Resonance Imaging Handbook.
  4. Neuroimaging of Pain.
  5. Elementi di radiobiologia e Radioprotezione.

and Editor in Chief of two Journals of Public Health research:

  1. Editor in Chief Journal of Public Health Research[4].
  2. Editor in Chief Healthcare in low-resource Settings[5].

Education and career

Degree in Physics in 1998, PhD in Chemistry in 2007 and Medical Physics Specialization in 2013. Medical Physicist at the University Hospital of Cagliari AOUCA, Italy. Research and clinical activities for the AOUCA Medical Physics Service: Coordinator of the Medical Physics Service, coordinator of the Research unit “Unità di Analisi dei Segnali e delle BioImmagini”; Expert in Medical Physics, Expert for the NIR “Non Ionizing Radiation”; Expert for Magnetic Resonance Safety; Expert for the Medical LASERs Safety; Expert in Radioprotection.

Consultant Referee of International journals of Physics in Medicine. Invited Speaker in several Medical Congresses. Principal Investigator or co-investigator in research projects funded by public or private agencies or pharmaceutical companies. Participant in research projects funded by national and local agencies and Private Companies. Adjunct Professor of Medical Physics and Computational Neurosciences since 2001. Member of Academic Senate of Cagliari University.

Professional Membership: Italian Physicists Professional Register N. 467/A - Settore Fisico; ANPEQ Associazione Nazionale Professionale Esperti Qualificati; AIFM Italian Association for Medical Physics; ISMRM Italian Chapter of international Society of Magnetic Resonance in Medicine; GIRPR Italian Researchers Group for Pattern Recognition; Member of CEI - CT 76 (IEC and CENELEC connection of UNI CEI “Laser”); Member of CEI - CT 106 (IEC and CENELEC connection of UNI CEI “human exposure to electromagnetic fields”).[6][7][8][9][1][10]

Research interests

Medical Physics

In the recent period he mostly studied the interdependence among interacting brain regions to investigate how the resulting connectivity patterns and networks may organize themselves under any conceivable scenario revealed by the functional connectivity magnetic resonance imaging technique, fc-MRI, and EEG-fMRI Electroencephalography intra-resonance imaging EEG fingerprints under naturalistic viewing using a portable device. In the starting period of his career at the university of Cagliari, he studied the properties of some kind of particles detector, synthetic diamond films, they critically discuss the possibility of using this kind of detectors, grown with the Chemical Vapour Deposition (CVD) technique, as imaging detector in the extreme UV energy range.

Metabolomics

He has introduced and developed in Cagliari the Applied Metabolomics, metabolomics applied to several clinical sectors. He has studied the small-molecule metabolite profiles that specific cellular processes leave behind.

Cardiovascular and coronary artery disease applications

The purpose of his studies in the cardiological field mainly was to assess whether metabolomics, associated with other medical diagnostic techniques, as echocardiography for example, was able to highlight pathophysiological differences between different cardiovascular pathologies as obstructive (OHCM) or non-obstructive (NOHCM) hypertrophic cardiomyopathy. Their data point out a different systolic function related to a specific metabolic activity in the two HCM phenotypic forms, with specific metabolites associated with better contractility in OHCM.

Autism applications

A supervised multivariate model to classify the metabolome alterations between autistic spectrum disorders (ASD) patients and controls, siblings of autistic patients, has been realized and used to realize a network model of the ASD patients’ metabolome. Children with autistic disease composing our studied population showed elevated concentration of several organic acids and sugars. Interactions among diet, intestinal flora and genes may explain such findings.

Cancer (CRC and limphoma) applications

Colorectal cancer (CRC) has been confirmed to be the third most commonly diagnosed cancer in males and the second in females. They investigated the blood plasma metabolome in CRC patients and in healthy adults to elucidate the role of some molecules, demsostrating that the abundance of D-mannose in CRC patient samples contributes to inhibiting the growth of cancer cells, while the abundance of fructose may be consistent either with low consumption of fructose by aerobic glycolysis within cancer cells or with a high bioavailability of fructose from diet. Overall, 125 metabolites were identified in plasma samples by GC, im proving the CRC mechanism interpretation.

With his team, they studied also the Lymphoma, which defines a group of different diseases. This study examined pre-treatment plasma samples from 66 adult patients (aged 20-74) newly diagnosed with any lymphoma subtype, and 96 frequency matched population controls. They used gas chromatography-mass spectrometry (GC-MS) to compare the metabolic profile by case/control status and across the major lymphoma subtypes. Metabolomic analysis was able to highlight interesting differences between lymphoma patients and population controls, allowing the discrimination between pathologic and healthy subjects. Further studies are warranted to understand whether the peculiar metabolic patterns observed might serve as early biomarkers of lymphoma.

Multiple sclerosis

Among the neurodegenerative disease he studied with his team the Multiple Sclerosis in order to investigate the metabolomic profiles of patients with multiple sclerosis (MS) and to define the metabolic pathways potentially related to MS pathogenesis. Using plasma samples from patients with MS (therapy-free for at least 90 days) and healthy controls (HC) characterised by means 1H-NMR spectroscopy they identified the metabolites discriminating the MS profiles. The model obtained with the OPLS-DA identified predictive metabolic differences between the patients with MS and HC and the suitability of the model was evaluated using an external set of samples. From their studies, Metabolomics appears to represent a promising non-invasive approach for the study of MS.

Bioimages Analysis

Clot characterization

Clot characterization is, to the present days, a multimodal approach: scanning the clot by electron microscopy (SEM) is helpful for the visualization of fibrin structure along with laboratory parameters such as the clot waveform analysis (CWA) and thrombin generation in different settings of clot abnormalities. This study aimed to assess whether the coagulative parameters were consistent with the clot images texture acquired by SEM, and therefore to propose a more generalist and integrative approach to clots classification.

Epilepsy

Seizures induced by musical stimulation are usually correlated to temporal epilepsy, although the precise localization of their epileptogenic networks are not well characterized. Usually, the brain images are correlated with off-line EEG recordings. In their study they used the EEG-fMRI technology with a EEG system operating directly in the MRI examination room for the simultaneous recording of EEG and f-MRI signals; the simultaneous multimodal recording of the episode of musicogenic epilepsy is mandatory to achieve a better foci localization. We described the EEG-fMRI co-recording of musicogenic elicited seizures in a case of simple partial epilepsy, and their results have shown that EEG features recorded in epileptogenic areas are largely coupled with rCBF increase.

Notable publications

  1. Metabolomics in newborns with intrauterine growth retardation (IUGR): urine reveals markers of metabolic syndrome. A Dessi, L Atzori, A Noto, GHA Visser, D Gazzolo, B L, V Fanos. THE JOURNAL OF MATERNAL-FETAL & NEONATAL MEDICINE 24, 36-40 2011.
  2. The urinary metabolomics profile of an Italian autistic children population and their unaffected siblings. A Noto, V Fanos, L Barberini, D Grapov, C Fattuoni, M Zaffanello, The Journal of Maternal-Fetal & Neonatal Medicine 27 (sup2), 46-52014.
  3. Increase in 20–50 Hz (gamma frequencies) power spectrum and synchronization after chronic vagal nerve stimulation. F Marrosu, F Santoni, M Puligheddu, L Barberini, A Maleci, F Ennas. Clinical neurophysiology 116 (9), 2026-20362005.
  4. Metabolomic approach to profile functional and metabolic changes in heart failure. M Deidda, C Piras, CC Dessalvi, E Locci, L Barberini, F Torri, F Ascedu. Journal of Translational Medicine 13, 1-11 2015.
  5. 1H-NMR analysis provides a metabolomic profile of patients with multiple sclerosis. E Cocco, F Murgia, L Lorefice, L Barberini, S Poddighe, J Frau, G Fenu. Neurology-Neuroimmunology Neuroinflammation 3 (1) 2016.
  6. Metabolomics: the" new clinical chemistry" for personalized neonatal medicine. R Antonucci, L Atzori, L Barberini, V Fanos. Minerva pediatrica 62 (3 Suppl 1), 145-148 2010.
  7. Combined EEG/fMRI recording in musicogenic epilepsy. F Marrosu, L Barberini, M Puligheddu, M Bortolato, M Mascia, A Tuveri. Epilepsy research 84 (1), 77-81 2009.
  8. Gallium arsenide photodetectors for imaging in the far ultraviolet region. M Caria, L Barberini, S Cadeddu, A Giannattasio, A Rusani, A Sesselego. Applied physics letters 81 (8), 1506-1508 2002.
  9. Beta and Gamma Range EEG Power‐Spectrum Correlation with Spiking Discharges in DBA/2J Mice Absence Model: Role of GABAB Receptors. F Marrosu, F Santoni, M Fà, M Puligheddu, L Barberini, F Genugu, R Frau. Epilepsia 47 (3), 489-494 2006.
  10. Metabolomics as a tool for the characterization of drug-resistant epilepsy. F Murgia, A Muroni, M Puligheddu, L Polizzi, L Barberini, G Orofino. Frontiers in neurology 8, 459 2017.
  11. A new material for imaging in the UV: CVD Diamond. L Barberini, S Cadeddu, M Caria. Nuclear Instruments and Methods in Physics Research Section A: Accelerators. 2001.
  12. A gas chromatography-mass spectrometry (GC-MS) metabolomic approach in human colorectal cancer (CRC): the emerging role of monosaccharides and amino acids. L Barberini, A Restivo, A Noto, S Deidda, C Fattuoni, V Fanos, L Saba. Annals of Translational Medicine 7 (23) 2019.
  13. Far UV responsivity of commercial silicon photodetectors. M Caria, L Barberini, S Cadeddu, A Giannattasio, A Lai, A Rusani. Nuclear Instruments and Methods in Physics Research Section A: Accelerators. 2001.
  14. The metabolomic profile of lymphoma subtypes: A pilot study. L Barberini, A Noto, C Fattuoni, G Satta, M Zucca, MG Cabras, E Mura. Molecules 24 (13), 2367 2019.
  15. Reorganization of brain networks following carotid endarterectomy: an exploratory study using resting state functional connectivity with a focus on the changes in Default Mode. M Porcu, D Craboledda, P Garofalo, L Barberini, R Sanfilippo. European Journal of Radiology 110, 233-241 2019.
  16. Texture analysis imaging “what a clinical radiologist needs to know”. G Corrias, G Micheletti, L Barberini, JS Suri, L Saba. European Journal of Radiology 146, 110055 2022.
  17. The urine metabolome of young autistic children correlates with their clinical profile severity. M Mussap, M Siracusano, A Noto, C Fattuoni, A Riccioni, HSR Rajula. Metabolites 10 (11), 476 2020.
  18. Connectometry evaluation in patients undergoing carotid endarterectomy: an exploratory study. M Porcu, D Craboledda, P Garofalo, G Columbano, L Barberini. Brain imaging and behavior 13 (6), 1708-1718 2019.
  19. On the variability of functional connectivity and network measures in source-reconstructed EEG time-series. M Fraschini, SM La Cava, L Didaci, L Barberini. Entropy 23 (1), 5 2020.
  20. Resting-state functional connectivity MRI analysis in Human Immunodeficiency virus and hepatitis C virus co-infected subjects. A pilot study. S Corgiolu, L Barberini, JS Suri, A Mandas, D Costaggiu, P Piano. European Journal of Radiology 102, 220-227 2018.
  21. Tests on far UV irradiation of CVD diamond. L Barberini, S Cadeddu, M Caria, F Murgia. Nuclear Instruments and Methods in Physics Research Section A: Accelerators. 2000.
  22. EEG fingerprints under naturalistic viewing using a portable device. M Fraschini, M Meli, M Demuru, L Didaci, L Barberini. Sensors 20 (22), 6565 2020.
  23. Comprehensive measurements of GaAs pixel detectors capacitance. M Caria, L Barberini, S D’Auria, A Lai, P Randaccio, S Cadeddu. Nuclear Instruments and Methods in Physics Research Section A: Accelerators. 2002.
  24. Clot characterization by multidisciplinary approach: biochemical and imaging parameters in a hypocoagulative setting. A pilot study. Journal of Public Health Research Ahead of Print 2021.
  25. Neuroimaging, Networking and Systems Biology: The New Way to Investigate Pathologies with Neurological System Implications. The Example of Tourette Syndrome as a Pilot Study. L Barberini, F Marrosu, A Muroni, E Scapin, A Balestrieri, JS Suri, L Saba. Biomedical Journal of Scientific & Technical Research (BJSTR) 26 (1) 2020.
  26. Imaging and Genomic Classification of Brain Alteration Induced By Gustatory Bitter Stimulus, A Pilot Study. L Barberini, I Tomassini Barbarossa, M Melis, F Marrosu, P Siotto, L Saba. Biomedical Journal of Scientific & Technical Research (BJSTR) 2020.
  27. Functional MR applied to neurological disorders. L Barberini. Neurological Disorders and Imaging Physics, Volume 1:2019.

Publications

  1. Metabolomics in newborns with intrauterine growth retardation (IUGR): urine reveals markers of metabolic syndrome. A Dessi, L Atzori, A Noto, GHA Visser, D Gazzolo, B L, V Fanos. THE JOURNAL OF MATERNAL-FETAL & NEONATAL MEDICINE 24, 36-40 2011.
  2. A metabolomic study of preterm human and formula milk by high resolution NMR and GC/MS analysis: preliminary results. FC Marincola, A Noto, P Caboni, A Reali, L Barberini, M Lussu, F Murgia, The Journal of Maternal-Fetal & Neonatal Medicine 25 (sup5), 62-6 2012.
  3. The urinary metabolomics profile of an Italian autistic children population and their unaffected siblings. A Noto, V Fanos, L Barberini, D Grapov, C Fattuoni, M Zaffanello. The Journal of Maternal-Fetal & Neonatal Medicine 27 (sup2), 46-52 2014.
  4. 1H NMR-based metabolomic analysis of urine from preterm and term neonates. L Atzori, R Antonucci, L Barberini, E Locci, FC Marincola, P Scano. Frontiers in bioscience (Elite edition) 3 (3), 1005-1012 2011.
  5. Increase in 20–50 Hz (gamma frequencies) power spectrum and synchronization after chronic vagal nerve stimulation. F Marrosu, F Santoni, M Puligheddu, L Barberini, A Maleci, F Ennas. Clinical neurophysiology 116 (9), 2026-2036 2005.
  6. Perinatal asphyxia: a review from a metabolomics perspective. C Fattuoni, F Palmas, A Noto, V Fanos, L Barberini. Molecules 20 (4), 7000-7016 2015.
  7. Clinical application of metabolomics in neonatology. V Fanos, R Antonucci, L Barberini, A Noto, L Atzori. The Journal of Maternal-Fetal & Neonatal Medicine 25 (sup1), 104-109 2012.
  8. Metabolomics: a new tool for the neonatologist. L Atzori, R Antonucci, L Barberini, JL Griffin, V Fanos. The Journal of Maternal-Fetal & Neonatal Medicine 22 (sup3), 50-53 2009.
  9. Accumulation of neutral lipids in peripheral blood mononuclear cells as a distinctive trait of Alzheimer patients and asymptomatic subjects at risk of disease. A Pani, A Mandas, D G, A C, PL Cocco, F Angius, A Brundu, N Mucaka. BMC MEDICINE, 7 2009.
  10. Metabolomics in neonatology and pediatrics. V Fanos, L Barberini, R Antonucci, L Atzori. Clinical Biochemistry 7 (44), 452-454 2011.
  11. Metabolomic approach to profile functional and metabolic changes in heart failure. M Deidda, C Piras, CC Dessalvi, E Locci, L Barberini, F Torri, F Ascedu. Journal of Translational Medicine 13, 1-11 2015.
  12. 1H-NMR analysis provides a metabolomic profile of patients with multiple sclerosis. E Cocco, F Murgia, L Lorefice, L Barberini, S Poddighe, J Frau, G Fenu. Neurology-Neuroimmunology Neuroinflammation 3 (1) 2016.
  13. 1H NMR-based metabolic profiling of urine from children with nephrouropathies. L Atzori, R Antonucci, L Barberini, E Locci, C Marincola, P Scano. Frontiers in bioscience (Elite edition) 2 (2), 725-732 2010.
  14. Metabolomics: the" new clinical chemistry" for personalized neonatal medicine. R Antonucci, L Atzori, L Barberini, V Fanos. Minerva pediatrica 62 (3 Suppl 1), 145-148 2010.
  15. Preliminary metabolomics analysis of placenta in maternal obesity. C Fattuoni, C Mandò, F Palmas, GM Anelli, C Novielli, EP Laudicina. Placenta 61, 89-9552 2018.
  16. A metabolomic approach in an experimental model of hypoxia-reoxygenation in newborn piglets: urine predicts outcome L Atzori, T Xanthos, L Barberini, R Antonucci, F Murgia, M Lussu, F Aroni. The Journal of Maternal-Fetal & Neonatal Medicine 23 (sup3), 134-137 2010.
  17. Urinary metabolomics in newborns and infants. V Fanos, R Antonucci, L Barberini, L Atzori. Advances in clinical chemistry 58, 2012.
  18. Metabolomics: a new era in cardiology? G Mercuro, PP Bassareo, M Deidda, C Cadeddu, L Barberini, L Atzori. Journal of Cardiovascular Medicine 12, 800-805 2011.
  19. Clinical metabolomics and urinary NGAL for the early prediction of chronic kidney disease in healthy adults born ELBW. L Atzori, M Mussap, A Noto, L Barberini, M Puddu, E Coni, F Murgia. The Journal of Maternal-Fetal & Neonatal Medicine 24 (sup2), 40-43 2011.
  20. Urinary metabolomics (GC-MS) reveals that low and high birth weight infants share elevated inositol concentrations at birth. L Barberini, A Noto, C Fattuoni, D Grapov, A Casanova, G Fenu. The Journal of Maternal-Fetal & Neonatal Medicine 27 (sup2), 20-26 2014.
  21. Metabolomics in paediatric respiratory diseases and bronchiolitis. A Atzei, L Atzori, C Moretti, L Barberini, A Noto, G Ottonello, E Pusceddu. The Journal of Maternal-Fetal & Neonatal Medicine 24 (sup2), 59-62 2011.
  22. Vagal nerve stimulation improves cerebellar tremor and dysphagia in multiple sclerosis. F Marrosu, A Maleci, E Cocco, M Puligheddu, L Barberini, MG Marrosu. Multiple Sclerosis Journal 13 (9), 1200-1202 2007.
  23. Pharma-metabolomics in neonatology: is it a dream or a fact? V Fanos, L Barberini, R Antonucci, L Atzori. Current Pharmaceutical Design 18 (21), 2996-3006 2012.
  24. Combined EEG/fMRI recording in musicogenic epilepsy. F Marrosu, L Barberini, M Puligheddu, M Bortolato, M Mascia, A Tuveri, Epilepsy research 84 (1), 77-8 2009.
  25. Metabolomics network characterization of resuscitation after normocapnic hypoxia in a newborn piglet model supports the hypothesis that room air is better. V Fanos, A Noto, T Xanthos, M Lussu, F Murgia, L Barberini, G Finco. BioMed research international 2014 2014.
  26. Metabolomic analysis of bronchoalveolar lavage fluid in preterm infants complicated by respiratory distress syndrome: preliminary results. A Fabiano, D Gazzolo, LJI Zimmermann, AWD Gavilanes, P Paolillo. The Journal of Maternal-Fetal & Neonatal Medicine 24 (sup2), 55-58 2011.
  27. The choice of amniotic fluid in metabolomics for the monitoring of fetus health. F Palmas, C Fattuoni, A Noto, L Barberini, A Dessì, V Fanos. Expert review of molecular diagnostics 16 (4), 473-486 2016.
  28. Gallium arsenide photodetectors for imaging in the far ultraviolet region. M Caria, L Barberini, S Cadeddu, A Giannattasio, A Rusani, A Sesselego. Applied physics letters 81 (8), 1506-1508 2002.
  29. Interaction between HLA-DRB1-DQB1 haplotypes in Sardinian multiple sclerosis population. E Cocco, R Murru, G Costa, A Kumar, E Pieroni, C Melis, L Barberini. PLoS One 8 (4), e59790 2013.
  30. Beta and Gamma Range EEG Power‐Spectrum Correlation with Spiking Discharges in DBA/2J Mice Absence Model: Role of GABAB Receptors. F Marrosu, F Santoni, M Fà, M Puligheddu, L Barberini, F Genugu, R Frau. Epilepsia 47 (3), 489-494 2006.
  31. Metabolomics as a tool for the characterization of drug-resistant epilepsy. F Murgia, A Muroni, M Puligheddu, L Polizzi, L Barberini, G Orofino. Frontiers in neurology 8, 459 2017.
  32. Urinary gas chromatography mass spectrometry metabolomics in asphyxiated newborns undergoing hypothermia: from the birth to the first month of life. A Noto, G Pomero, M Mussap, L Barberini, C Fattuoni, F Palmas. Annals of Translational Medicine 4 (21) 2016.
  33. Multivariate data validation for investigating primary HCMV infection in pregnancy. L Barberini, A Noto, L Saba, F Palmas, V Fanos, A Dessì, M Zavattoni. Data in brief 9, 220-230 2016.
  34. Distinctive metabolomic fingerprint in scleroderma patients with pulmonary arterial hypertension. M Deidda, C Piras, CC Dessalvi, E Locci, L Barberini, S Orofino, M Musu. International Journal of Cardiology 241, 401-406 2017.
  35. Primary HCMV infection in pregnancy from classic data towards metabolomics: An exploratory analysis. C Fattuoni, F Palmas, A Noto, L Barberini, M Mussap, D Grapov, A Dessì. Clinica chimica acta 460, 23-32. 2016.
  36. A new material for imaging in the UV: CVD Diamond. L Barberini, S Cadeddu, M Caria. Nuclear Instruments and Methods in Physics Research Section A: Accelerators. 2001.
  37. A gas chromatography-mass spectrometry (GC-MS) metabolomic approach in human colorectal cancer (CRC): the emerging role of monosaccharides and amino acids. L Barberini, A Restivo, A Noto, S Deidda, C Fattuoni, V Fanos, L Saba. Annals of Translational Medicine 7 (23) 2019.
  38. A novel Cx32 mutation causes X-linked Charcot-Marie-Tooth disease with brainstem involvement and brain magnetic resonance spectroscopy abnormalities MR Murru, A Vannelli, G Marrosu, E Cocco, D Corongiu, S Tranquilli. Neurological Sciences 27, 18-23 2006.
  39. 1H NMR metabolite fingerprinting as a new tool for body fluid identification in forensic science. P Scano, E Locci, A Noto, G Navarra, F Murgia, M Lussu, L Barberini. Magnetic Resonance in Chemistry 51 (8), 454-462 2013.
  40. GABAB receptor activation exacerbates spontaneous spike-and-wave discharges in DBA/2J mice. M Bortolato, R Frau, M Orru, M Fa, C Dessì, M Puligheddu, L Barberini. Seizure 19 (4), 226-231 2010.
  41. Far UV responsivity of commercial silicon photodetectors. M Caria, L Barberini, S Cadeddu, A Giannattasio, A Lai, A Rusani. Nuclear Instruments and Methods in Physics Research Section A: Accelerators. 2001.
  42. Metabolomics & patent ductus arteriosus diagnosis: is 1H-NMR (Nuclear Magnetic Resonance) spectroscopy of urine at birth predictive as ultrasound? L Atzori, L Barberini, M Lussu, F Murgia, A Noto, G Mercuro, P Bassareo. THE JOURNAL OF MATERNAL-FETAL & NEONATAL MEDICINE 24 (s2) 2011.
  43. Urinary metabolomics of pregnant women at term: a combined GC/MS and NMR approach. P Caboni, A Meloni, M Lussu, E Carta, L Barberini, A Noto, SF Deiana. The Journal of Maternal-Fetal & Neonatal Medicine 27 (sup2), 4-12 2014.
  44. The metabolomic profile of lymphoma subtypes: A pilot study. L Barberini, A Noto, C Fattuoni, G Satta, M Zucca, MG Cabras, E Mura. Molecules 24 (13), 2367 2019.
  45. Reorganization of brain networks following carotid endarterectomy: an exploratory study using resting state functional connectivity with a focus on the changes in Default Mode … M Porcu, D Craboledda, P Garofalo, L Barberini, R Sanfilippo. European Journal of Radiology 110, 233-241 2019.
  46. Urinary metabolomic analysis to identify preterm neonates exposed to histological chorioamnionitis: A pilot study. C Fattuoni, C Pietrasanta, L Pugni, A Ronchi, F Palmas, L Barberini. PLoS One 12 (12), e0189120 2017.
  47. Texture analysis imaging “what a clinical radiologist needs to know”. G Corrias, G Micheletti, L Barberini, JS Suri, L Saba. European Journal of Radiology 146, 110055 2022.
  48. PROM and labour effects on urinary metabolome: a pilot study. A Meloni, F Palmas, L Barberini, R Mereu, SF Deiana, MF Fais, A Noto. Disease markers 2018 2018.
  49. The urine metabolome of young autistic children correlates with their clinical profile severity. M Mussap, M Siracusano, A Noto, C Fattuoni, A Riccioni, HSR Rajula. Metabolites 10 (11), 476 2020.
  50. Clinical metabolomics and hematic ADMA predict the future onset of cardiorenal syndrome in young grown-up subjects who were born preterm. PP Bassareo, V Fanos, A Noto, P Solla, L Barberini, G Flore, M Puddu. Clinical Biochemistry 47 (6), 423-426 2014.
  51. Connectometry evaluation in patients undergoing carotid endarterectomy: an exploratory study. M Porcu, D Craboledda, P Garofalo, G Columbano, L Barberini. Brain imaging and behavior 13 (6), 1708-1718 2019.
  52. Is the quickness of resuscitation after hypoxia influenced by the oxygen concentrat concentrations. F Murgia, A Noto, N Iacovidou, T Xanthos, M Lussu, L Atzori, L Barberini. Journal of Pediatric and Neonatal Individualized Medicine (JPNIM) 2013.
  53. Metabolomic approach to foetal and neonatal heart. PP Bassareo, V Fanos, M Deidda, L Barberini, G Mercuro. The Journal of Maternal-Fetal & Neonatal Medicine 25 (sup5), 19-21 2012.
  54. Metabolomics analysis of newborn's urine with cytomegalovirus congenital infection. From the descriptive to the predictive ability: Preliminary results. E LOCCI, T Lazzarotto, L ATZORI, L BARBERINI, F Murgia, M Lussu. JOURNAL OF PEDIATRIC AND NEONATAL INDIVIDUALIZED MEDICINE 1 (1), 118-119 2012.
  55. On the variability of functional connectivity and network measures in source-reconstructed EEG time-series. M Fraschini, SM La Cava, L Didaci, L Barberini. Entropy 23 (1), 2020.
  56. Resting-state functional connectivity MRI analysis in Human Immunodeficiency virus and hepatitis C virus co-infected subjects. A pilot study. S Corgiolu, L Barberini, JS Suri, A Mandas, D Costaggiu, P Piano. European Journal of Radiology 102, 220-227 2018.
  57. Metabolomics explained to perinatologists and pediatricians. L Atzori, L Barberini, ML Santoru, R Antonucci, V Fanos. The Journal of Maternal-Fetal & Neonatal Medicine 25 (sup5), 10-12 2012.
  58. Metabolomics in perinatal renal asphyxia. L Atzori, A Noto, L Barberini, N Iacovidou, V Marinelli, V Fanos. Developmental nephrology: from embryology to metabolomics, 181-193 2011.
  59. Tests on far UV irradiation of CVD diamond. L Barberini, S Cadeddu, M Caria, F Murgia. Nuclear Instruments and Methods in Physics Research Section A: Accelerators. 2000.
  60. Spontaneous vs cesarean delivery: a metabolomic point of view. S Ciccarelli, L Atzori, A Noto, L Barberini, V Fanos, G Caramia, R Agostino. J Matern Fetal Neonatal Med 24, I-II 2011. Involvement of GABA in mirror focus: a case report. M Bortolato, L Barberini, M Puligheddu, A Muroni, A Maleci, F Ennas. Epilepsy research 90 (3), 300-303 2010.
  61. Urinary profiles associated with bacterial metabolites from asymptomatic pregnant women with at term or preterm premature rupture of membranes: a pilot study. L Barberini, F Palmas, MF Fais, R Mereu, A Noto, C Fattuoni, V Mais. The Journal of Maternal-Fetal & Neonatal Medicine 33 (19), 3279-3285 2020.
  62. METABOLOMICS STUDY ON NECROTIZING ENTEROCOLITIS (NEC) OCCURRENCE BY GC-MS. F Palmas, A DE MAGISTRIS, A Noto, L Barberini, C Fattuoni, A Dessi. JOURNAL OF PEDIATRIC AND NEONATAL INDIVIDUALIZED MEDICINE 5 (2), 65-66 2016.
  63. Urinary metabolomics in twins at birth. P Paladini, A Paladini, A NOTO, L ATZORI, L BARBERINI, E Puxeddu. JOURNAL OF PEDIATRIC AND NEONATAL INDIVIDUALIZED MEDICINE 1 (1), 113 2012.
  64. 1H NMR-based metabolomic analysis of urine from term and preterm neonates. R Antonucci, L Barberini, R Defraia, R Agostiniani, E Lecci, P Cortesi. Joumal of Neonatal-Perinatal Medicine 2 2009.
  65. EEG fingerprints under naturalistic viewing using a portable device. M Fraschini, M Meli, M Demuru, L Didaci, L Barberini. Sensors 20 (22), 6565 2020.
  66. Salivary metabolomics fingerprint of chronic apical abscess with sinus tract: A pilot study. N Montis, E Cotti, A Noto, C Fattuoni, L Barberini. The Scientific World Journal 2019 2019.
  67. Metabolomic approach to diagnosis of labour. A Meloni, P Caboni, F Manconi, L Atzori, M Lussu, F Murgia, L Barberini. BJOG-AN INTERNATIONAL JOURNAL OF OBSTETRICS AND GYNAECOLOGY Volume: 119. 2012.
  68. Dissociation between neurovegetative signs and subjective symptoms in a case of idiopathic pilomotor seizures. M Puligheddu, M Bortolato, L Barberini, F Genugu, G Gioi, A Balestrieri. Cognitive and behavioral neurology 23 (4), 274-277 2010.
  69. Metabolomic and Imaging: A Literature Review. G Corrias, A Balestrieri, C Politi, L Barberini, L Saba. Current Medical Imaging 14 (6), 887-898 2018.
  70. The echocardiographic parameters of systolic function are associated with specific metabolomic fingerprints in obstructive and non-obstructive hypertrophic cardiomyopathy. M Deidda, A Noto, D Pasqualucci, C Fattuoni, L Barberini, C Piras.
  71. Metabolites 11 (11), 787 1 2021.
  72. Metabolomic profile of patients with left ventricular assist devices: a pilot study. F Consolo, L Barberini, C Fattuoni, D Grapov, A Montisci, F Pappalardo. Annals of cardiothoracic surgery 10 (2), 2401 2021.
  73. Urinary metabolome of infants with colic treated with Lactobacillus reuteri DSM 17938: a pilot randomized trial. F Savino, V Fanos, A Noto, D Biggio, C Fattuoni, L Barberini. Minerva Pediatrica 1 2021.
  74. Metabolomic Analysis of Plasma from GABAB(1) Knock-Out Mice Reveals Decreased Levels of Elaidic Trans-Fatty Acid. C Fattuoni, L Barberini, A Noto, P Follesa Metabolites 10 (12), 484 1 2020.
  75. Commentary: Acute kidney injury after cardiac surgery—Is the “-omics” way the right way? L Barberini, A Montisci, A Cerri, A Miceli. The Journal of Thoracic and Cardiovascular Surgery 159 (3), 927 1 2020.
  76. Heterogeneity of antiphospholipid syndrome (APS) as characterized by brain perfusion techniques. Towards new ways of syndrome characterization. L Barberini, A Serra, B Piras, M Lussu, S Spiga, B Golosio, A Casanova. International Journal of Psychiatric and Mental Health 5 (1) 1 2019.
  77. Metabolomic analysis of placenta tissue in obese pregnancies. C Fattuoni, C Mandò, F Palmas, GM Anelli, C Novielli, E Parejo Laudicina. Journal of Pediatric and Neonatal Individualized Medicine 6 (2), 81-82 1 2017.
  78. Metabolomics fingerprint of chronic apical periodontitis with sinus tract: a pilot study. N Montis, C Fattuoni, L Barberini, A Noto, V Fanos, E Cotti. International Endodontic Journal 50 (Suppl 1), 49-50 1 2017.
  79. GC-MS METABOLOMICS IDENTIFICATION OF NEW BIOMARKERS OF CHORIOAMNIONITIS: A PILOT STUDY. F Palmas, B Deborah, P Lorenza, A Noto, L Barberini, C Fattuoni, A Dessi. JOURNAL OF PEDIATRIC AND NEONATAL INDIVIDUALIZED MEDICINE 5 (2), 59-60 1 2016.
  80. Orthogonalization methods in metabolomics. Hypothesis and tests for validation. L Barberini, D Grapov, A Noto, A Dessi, C Fattuoni, F Palmas. Journal of Pediatric and Neonatal Individualized Medicine 4 (2), 46-49 1 2015.
  81. New perspectives for the study of systemic scleroderma. A Noto, C Amador, F Palmas, L Barberini, C Fattuoni, A Dessi, V Fanos. JOURNAL OF PEDIATRIC AND NEONATAL INDIVIDUALIZED MEDICINE 4 (2), 125-126 1 2015.
  82. Metabolomic study of amniotic fluid in gestational diabete. F Palmas, L Barberini, A Noto, C Fattuoni, V Fanos, A Dessi, M Albanesi. JOURNAL OF PEDIATRIC AND NEONATAL INDIVIDUALIZED MEDICINE 4 (2), 131-133 1 2015.
  83. Pre-labor rupture of membranes (PROM) and modern metabolomics. A Meloni, L Barberini, R Mereu, F Palmas, C Fattuoni, A Dessi, A Noto. JOURNAL OF PEDIATRIC AND NEONATAL INDIVIDUALIZED MEDICINE 4 (2), 71-73 1 2015.
  84. Primary HCMV infection in pregnancy: preliminary metabolomic data on amniotic fluid. M Zavattoni, F Palmas, C Fattuoni, M Casu, A Noto, A Dessi, L Barberini. JOURNAL OF PEDIATRIC AND NEONATAL INDIVIDUALIZED MEDICINE 4 (2), 36-37 1 2015.
  85. A Non-Invasive Approach ti Characterize Epileptic Children Born ELBW Compared to Non Epileptic: A Metabolomics Point of View. C Serci, F Murgia, D Pruna, F MARROSU, L ATZORI, G Palmas. JOURNAL OF PEDIATRIC AND NEONATAL INDIVIDUALIZED MEDICINE 1 (1), 118-119 1 2012.
  86. A 1H NMR Study of Crisponi Sindrome: Can Metabolomics Help to Describe the Disorder? M Lussu, G Crisponi, F Murgia, L Crisponi, A NOTO, E LOCCI. JOURNAL OF PEDIATRIC AND NEONATAL INDIVIDUALIZED MEDICINE 1 (1), 1171 2012.
  87. Metabolomics and heart failure: a new and promising scientific approach. MG Deidda M., Cadeddu C., Barberini L., Torri F. EUROPEAN HEART JOURNAL 31, 276-277 1 2010.
  88. Comprehensive measurements of GaAs pixel detectors capacitance. M Caria, L Barberini, S D’Auria, A Lai, P Randaccio, S Cadeddu. Nuclear Instruments and Methods in Physics Research Section A: Accelerators … 1 2002.
  89. ROLE OF SPECKLE TRACKING ECHOCARDIOGRAPHYAND METABOLOMICS IN THE STRATIFICATION OF ARRHYTHMIC RISK IN PATIENTS WITH IMPLANTABLE CARDIOVERTER DEFIBRILLATOR. R Scotto, R Montisci, L Barberini, C Fattuani, F Buonaguidi, C Soro. EUROPEAN HEART JOURNAL SUPPLEMENTS 23 (C), C92-C93 2021.
  90. Clot characterization by multidisciplinary approach: biochemical and imaging parameters in a hypocoagulative setting. A pilot study. Journal of Public Health Research Ahead of Print 2021.
  91. Defining the metabolomic profile related with cardiotoxicity in patients with breast cancer treated with anthracyclines. SJ Ricci, C Onnis, E Agus, F Aneris, R Demelas, A Peccianti, A Pettinau. EUROPEAN HEART JOURNAL SUPPLEMENTS 22 (N), N20-N20 2020.
  92. METABOLOMICS APPROACH TO THE ICD IMPLANTED PATIENT CHARACTERIZATION: A PILOT STUDY. R Montisci, L Barberini, R Scotto, C Fattuoni, MF Marchetti, G Enrica. Journal of the American College of Cardiology 75 (11_Supplement_1), 511-511 2020.
  93. Neuroimaging, Networking and Systems Biology: The New Way to Investigate Pathologies with Neurological System Implications. The Example of Tourette Syndrome as a Pilot Study. L Barberini, F Marrosu, A Muroni, E Scapin, A Balestrieri, JS Suri, L Saba. Biomedical Journal of Scientific & Technical Research (BJSTR) 26 (1) 2020.
  94. Imaging and Genomic Classification of Brain Alteration Induced By Gustatory Bitter Stimulus, A Pilot Study. L Barberini, I Tomassini Barbarossa, M Melis, F Marrosu, P Siotto, L Saba. Biomedical Journal of Scientific & Technical Research (BJSTR) 2020
  95. Functional MR applied to neurological disorders. L Barberini. Neurological Disorders and Imaging Physics, Volume 1: 2019.
  96. SIRS, Sepsis and MODS. L Barberini, G Malara, F Pappalardo, S Sibilio, C Fattuoni, D Grapov. Blood Purif 47 (4), 3-37 2019.
  97. Research Article PROM and Labour Effects on Urinary Metabolome: A Pilot Study. A Meloni, F Palmas, L Barberini, R Mereu, SF Deiana, MF Fais, A Noto. 2018.
  98. Stained amniotic fluid: what's new? AM Fulghesu, E Canu, L Barberini, C Fattuoni, V Fanos. JOURNAL OF PEDIATRIC AND NEONATAL INDIVIDUALIZED MEDICINE 7 (2), 62-64 2018.
  99. TODDLER AND ADOLESCENT SUBJECTS AFFECTED BY AUTISM SPECTRUM DISORDER. A Noto, C Fattuoni, M Mussap, L Barberini, M Siracusano, L Mazzone. JOURNAL OF PEDIATRIC AND NEONATAL INDIVIDUALIZED MEDICINE 7 (2), 2018.
  100. Preliminary Analysis of Placental Metabolome in Maternal Obesity. M Chiara, C Fattuoni, GM Anelli, P Francesco, N Chiara, EP Laudicina. Reproductive Sciences 25 (Supplement 1), 125-126.

External links

References

  1. ↑ 1.0 1.1 Home - UASB - Università di Cagliari
  2. ↑ Luigi Barberini - Top Italian Scientist in Physics
  3. ↑ La Fisica Medica in AOU Cagliari - Fisica Medica - Università di Cagliari
  4. ↑ Journal of Public Health Research: SAGE Journals
  5. ↑ Healthcare in Low-resource Settings
  6. ↑ Luigi Barberini - Università degli Studi di Cagliari
  7. ↑ Luigi Barberini - Google Scholar
  8. ↑ Luigi Barberini - Editorial Board - Healthcare in Low-resource Settings
  9. ↑ Intelligenza artificiale e Fisica Medica REGGIO EMILIA • 13-14 dicembre 2019 - UASB - Università di Cagliari
  10. ↑ Modern Clinical Metabolomics in UNICA. The team - Metabunica - Università di Cagliari
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