84 results on '"Minicocci I"'
Search Results
2. Thrombocytopenia and kidney disease, two possible hallmark of FCS phenotype: Preliminary evidence from a cohort study
- Author
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Tramontano, D., primary, Bini, S., additional, Di Costanzo, A., additional, Minicocci, I., additional, Covino, S., additional, Arca, M., additional, and D'Erasmo, L., additional
- Published
- 2023
- Full Text
- View/download PDF
3. ApoB secretion and intracellular lipid content are modulated by ANGPTL3 and PCSK9 in HEPG2 cells
- Author
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Bini, S., primary, D'Erasmo, L., additional, Minicocci, I., additional, Di Costanzo, A., additional, Tramontano, D., additional, Pomanti, G., additional, Covino, S., additional, Arca, M., additional, and Pecce, V., additional
- Published
- 2023
- Full Text
- View/download PDF
4. Investigation of the role of ANGPTL3 and PCSK9 in regulating the intracellular signaling in liver cells
- Author
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Pecce, V., primary, Bini, S., additional, D'Erasmo, L., additional, Di Costanzo, A., additional, Minicocci, I., additional, Pomanti, G., additional, and Arca, M., additional
- Published
- 2023
- Full Text
- View/download PDF
5. The Role of Registers in Increasing Knowledge and Improving Management of Children and Adolescents Affected by Familial Hypercholesterolemia: the LIPIGEN Pediatric Group
- Author
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Gazzotti, M, Casula, M, Bertolini, S, Capra, M, Olmastroni, E, Catapano, A, Pederiva, C, Allevi, M, Arca, M, Auricchio, R, Averna, M, Baldera, D, Banderali, G, Bartuli, A, Biasucci, G, Borghi, C, Bruzzi, P, Buganza, R, Buonuomo, P, Calabro, P, Calandra, S, Carubbi, F, Cesaro, A, Cipollone, F, Citroni, N, Covetti, G, Cremonini, A, D'Addato, S, Ben, M, Di Taranto, M, Fortunato, G, Franceschi, R, Galimberti, F, Genovesi, S, Giammanco, A, Grigore, L, Guardamagna, O, Iannuzzi, A, Iannuzzo, G, Lascala, L, Locatelli, F, Iughetti, L, Madaghiele, S, Mandraffino, G, Mannarino, M, Marco, B, Maroni, L, Minicocci, I, Mombelli, G, Muntoni, S, Nascimbeni, F, Parati, G, Passaro, A, Pavanello, C, Pellegatta, F, Perla, F, Generale, M, Pirro, M, Pisciotta, L, Pujia, A, Purrello, F, Rinaldi, E, Sarzani, R, Scicali, R, Suppressa, P, Tarugi, P, Verachtert, S, Vigna, G, Werba, J, Zambon, A, Zambon, S, Zenti, M, Gazzotti M., Casula M., Bertolini S., Capra M. E., Olmastroni E., Catapano A. L., Pederiva C., Allevi M., Arca M., Auricchio R., Averna M., Baldera D., Banderali G., Bartuli A., Biasucci G., Borghi C., Bruzzi P., Buganza R., Buonuomo P. S., Calabro P., Calandra S., Carubbi F., Cesaro A., Cipollone F., Citroni N., Covetti G., Cremonini A., D'Addato S., Ben M. D., Di Taranto M. D., Fortunato G., Franceschi R., Galimberti F., Genovesi S., Giammanco A., Grigore L., Guardamagna O., Iannuzzi A., Iannuzzo G., Lascala L., Locatelli F., Iughetti L., Madaghiele S., Mandraffino G., Mannarino M. R., Marco B., Maroni L., Minicocci I., Mombelli G., Muntoni S., Nascimbeni F., Parati G., Passaro A., Pavanello C., Pellegatta F., Perla F. M., Generale M., Pirro M., Pisciotta L., Pujia A., Purrello F., Rinaldi E., Sarzani R., Scicali R., Suppressa P., Tarugi P., Verachtert S., Vigna G. B., Werba J. P., Zambon A., Zambon S., Zenti M. G., Gazzotti, M, Casula, M, Bertolini, S, Capra, M, Olmastroni, E, Catapano, A, Pederiva, C, Allevi, M, Arca, M, Auricchio, R, Averna, M, Baldera, D, Banderali, G, Bartuli, A, Biasucci, G, Borghi, C, Bruzzi, P, Buganza, R, Buonuomo, P, Calabro, P, Calandra, S, Carubbi, F, Cesaro, A, Cipollone, F, Citroni, N, Covetti, G, Cremonini, A, D'Addato, S, Ben, M, Di Taranto, M, Fortunato, G, Franceschi, R, Galimberti, F, Genovesi, S, Giammanco, A, Grigore, L, Guardamagna, O, Iannuzzi, A, Iannuzzo, G, Lascala, L, Locatelli, F, Iughetti, L, Madaghiele, S, Mandraffino, G, Mannarino, M, Marco, B, Maroni, L, Minicocci, I, Mombelli, G, Muntoni, S, Nascimbeni, F, Parati, G, Passaro, A, Pavanello, C, Pellegatta, F, Perla, F, Generale, M, Pirro, M, Pisciotta, L, Pujia, A, Purrello, F, Rinaldi, E, Sarzani, R, Scicali, R, Suppressa, P, Tarugi, P, Verachtert, S, Vigna, G, Werba, J, Zambon, A, Zambon, S, Zenti, M, Gazzotti M., Casula M., Bertolini S., Capra M. E., Olmastroni E., Catapano A. L., Pederiva C., Allevi M., Arca M., Auricchio R., Averna M., Baldera D., Banderali G., Bartuli A., Biasucci G., Borghi C., Bruzzi P., Buganza R., Buonuomo P. S., Calabro P., Calandra S., Carubbi F., Cesaro A., Cipollone F., Citroni N., Covetti G., Cremonini A., D'Addato S., Ben M. D., Di Taranto M. D., Fortunato G., Franceschi R., Galimberti F., Genovesi S., Giammanco A., Grigore L., Guardamagna O., Iannuzzi A., Iannuzzo G., Lascala L., Locatelli F., Iughetti L., Madaghiele S., Mandraffino G., Mannarino M. R., Marco B., Maroni L., Minicocci I., Mombelli G., Muntoni S., Nascimbeni F., Parati G., Passaro A., Pavanello C., Pellegatta F., Perla F. M., Generale M., Pirro M., Pisciotta L., Pujia A., Purrello F., Rinaldi E., Sarzani R., Scicali R., Suppressa P., Tarugi P., Verachtert S., Vigna G. B., Werba J. P., Zambon A., Zambon S., and Zenti M. G.
- Abstract
Pathology registers can be a useful tool to overcome obstacles in the identification and management of familial hypercholesterolemia since childhood. In 2018, the LIPIGEN pediatric group was constituted within the Italian LIPIGEN study to focus on FH subjects under 18 years. This work aimed at discussing its recent progress and early outcomes. Demographic, biochemical, and genetic baseline characteristics were collected, with an in-depth analysis of the genetic defects. The analysis was carried out on 1,602 children and adolescents (mean age at baseline 9.9 ± 4.0 years), and almost the whole cohort underwent the genetic test (93.3%). Overall, the untreated mean value of LDL-C was 220.0 ± 97.2 mg/dl, with an increasing gradient from subjects with a negative (N = 317; mean untreated LDL-C = 159.9 ± 47.7 mg/dl), inconclusive (N = 125; mean untreated LDL-C = 166.4 ± 56.5 mg/dl), or positive (N = 1,053; mean untreated LDL-C = 246.5 ± 102.1 mg/dl) genetic diagnosis of FH. In the latter group, the LDL-C values presented a great variability based on the number and the biological impact of involved causative variants. The LIPIGEN pediatric group represents one of the largest cohorts of children with FH, allowing the deepening of the characterization of their baseline and genetic features, providing the basis for further longitudinal investigations for complete details.
- Published
- 2022
6. The genetic lack of ANGTPL3 does not alter HDL functionality
- Author
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Minicocci, I., primary, Ossoli, A., additional, Turri, M., additional, D'Erasmo, L., additional, Di Costanzo, A., additional, Bini, S., additional, Veglia, F., additional, Calabresi, L., additional, and Arca, M., additional
- Published
- 2022
- Full Text
- View/download PDF
7. ANGPTL3 and PCSK9 interact and show coordinated metabolic regulation in vitro
- Author
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Bini, S., primary, Pecce, V., additional, D'Erasmo, L., additional, Di Costanzo, A., additional, Minicocci, I., additional, and Arca, M., additional
- Published
- 2022
- Full Text
- View/download PDF
8. Application of ACMG guidelines for classification of variants detected in a cohort of patients with clinically suspected familial hypercholesterolemia (FH): Implication for the diagnosis.
- Author
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Minicocci, I., primary, Di Costanzo, A., additional, D'Erasmo, L., additional, Covino, S., additional, Bini, S., additional, Montali, A., additional, and Arca, M., additional
- Published
- 2021
- Full Text
- View/download PDF
9. ANGPTL3 deficiency associates with expanded regulatory T cells with reduced lipid content
- Author
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D'Erasmo, L., primary, Minicocci, I., additional, Di Costanzo, A., additional, Bini, S., additional, Pacella, I., additional, Rossi, A., additional, Grimaldos, A. Pinzon, additional, Piconese, S., additional, and Arca, M., additional
- Published
- 2021
- Full Text
- View/download PDF
10. The impact of ANGPTL3 deficiency on hepatic steatosis: Observations from carriers of loss-of-function mutations
- Author
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D'Erasmo, L., primary, Neufeld, T., additional, Di Martino, M., additional, Fraum, T., additional, Minicocci, I., additional, Maranghi, M., additional, Zheng, J., additional, Commean, P., additional, Montali, A., additional, Di Costanzo, A., additional, Ceci, F., additional, Catalano, C., additional, Arca, M., additional, and Stitziel, N., additional
- Published
- 2020
- Full Text
- View/download PDF
11. Monogenic versus polygenic familial hypercholesterolemia: genetic risk score and response to treatment
- Author
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Minicocci, I., primary, D'Erasmo, L., additional, Di Costanzo, A., additional, Pigna, G., additional, Commodari, D., additional, Ceci, F., additional, Montali, A., additional, Maranghi, M., additional, and Arca, M., additional
- Published
- 2020
- Full Text
- View/download PDF
12. Evaluation Of Indices Of Glucose And Insulin Metabolism In A Coort Patients With Angptl3 Deficiency
- Author
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D'erasmo, L., primary, Di Costanzo, A., additional, Minicocci, I., additional, Polito, L., additional, Maranghi, M., additional, Montali, A., additional, Ceci, F., additional, Stitziel, N., additional, and Arca, M., additional
- Published
- 2019
- Full Text
- View/download PDF
13. Use of low-density lipoprotein cholesterol gene score to demonstrate polygenic familial hypercholesterolemia: a case-control study.
- Author
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Minicocci, I., primary, Alessia, D.C., additional, Laura, D., additional, Anna, M., additional, Giovanni, P., additional, Francesca, B., additional, Marianna, M., additional, and Marcello, A., additional
- Published
- 2019
- Full Text
- View/download PDF
14. Evaluation of the performance of Dutch Lipid Clinic Network score in an Italian FH population: The LIPIGEN study
- Author
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Casula, M. a., B, Be, Olmastroni, E. a., Pirillo, A. c., Catapano, D, A. L. b., D, Jemail, Author, Lipigen, Group, Averna, M. g., Bertolini, S. h., Calandra, S. i., Tarugi, P. i., Pellegatta, F. k., Angelico, F. f., Bartuli, A. l., Biasucci, G. m., Biolo, G. n., Bonanni, L. o., Bonomo, K. p., Borghi, C. q., Bossi, A. C. r., Branchi, A. s., Carubbi, F. t., Cipollone, F. u., Citroni, N. v., Federici, M. w., Ferri, C. x., Fiorenza, A. M. y., Giaccari, A. z., Giorgino, Aa, F., Guardamagna, Ab, O., Iannuzzi, Ac, A., Iughetti, Ad, L., Lupattelli, Ae, G., Lupi, Af, A., Mandraffino, Giuseppe, Ag, G., Marcucci, Ah, R., Maroni, Ai, L., Miccoli, Aj, R., Mombelli, Ak, G., Muntoni, Al, S., Pecchioli, Am, V., Pederiva, An, C., Pipolo, Ao, A., Pisciotta, Ap, L., Pujia, Aq, A., Purrello, Ar, F., Repetti, As, E., Rubba, At, P., Sabbà, Au, C., Sampietro, Av, T., Sarzani, Aw, R., Tagliabue, M. P., Ax, Trenti, Ay, C., Vigna, G. B., Az, Werba, J. P., Ba, Zambon, Bb, S., Zenti, M. G., Bc, Minicocci, I. f., Noto, D. g., Fortunato, Bd, G., Banderali, An, G., Benso, Ax, A., Bigolin, Bb, P., Bonora, Bc, E., Bruzzi, Ad, P., Bucci, M. u., Buonuomo, P. S. l., Capra, M. E. m., Cardolini, I. w., Cefalù, B. g., Cervelli, N. x., Chiariello, Ac, G., Cocci, Aw, G., Colombo, E. y., Cremonini, A. L., Ap, D'Addato, S. q., D'Erasmo, L. f., Dal, Pino, Av, B., Sanctis, De, Ab, L., Vita, De, Ao, E., Del, Ben, M. f., Costanzo, Di, A. f., Taranto, Di, M. D., Bd, Fasano, Ay, T., Gentile, As, L., At, M., Ghirardello, Az, O., Grigore, L. k., Lussu, Al, M., Meregalli, G. r., Moffa, S. z., Montalcini, Aq, T., Morgia, Nascimbeni, F. t., Pasta, A. h., Pavanello, Ak, C., Saitta, Antonino, Ag, A., Scicali, Ar, R., Siepi, Ae, D., Spagnolli, W. v., Spina, R. g., Sticchi, Ah, E., Suppressa, Au, P., Vigo, Ba, L., Vinci, P. n., Manzato, Bf, E., Tragni, Be, E., Zampoleri, Bg, V., Casula, Manuela, Olmastroni, Elena, Pirillo, Angela, Catapano, Alberico Luigi, Arca, Marcello, Averna, Maurizio, Bertolini, Stefano, Calandra, Sebastiano, Tarugi, Patrizia, Pellegatta, Fabio, Angelico, Francesco, Bartuli, Andrea, Biasucci, Giacomo, Biolo, Gianni, Bonanni, Luca, Bonomo, Katia, Borghi, Claudio, Bossi, Antonio Carlo, Branchi, Adriana, Carubbi, Francesca, Cipollone, Francesco, Citroni, Nadia, Federici, Massimo, Ferri, Claudio, Fiorenza, Anna Maria, Giaccari, Andrea, Giorgino, Francesco, Guardamagna, Ornella, Iannuzzi, Arcangelo, Iughetti, Lorenzo, Lupattelli, Graziana, Lupi, Alessandro, Mandraffino, Giuseppe, Marcucci, Rossella, Maroni, Lorenzo, Miccoli, Roberto, Mombelli, Giuliana, Muntoni, Sandro, Pecchioli, Valerio, Pederiva, Cristina, Pipolo, Antonio, Pisciotta, Livia, Pujia, Arturo, Purrello, Francesco, Repetti, Elena, Rubba, Paolo, Sabbà, Carlo, Sampietro, Tiziana, Sarzani, Riccardo, Tagliabue, Milena Paola, Trenti, Chiara, Vigna, Giovanni Battista, Werba, Josè Pablo, Zambon, Sabina, Zenti, Maria Grazia, Minicocci, Ilenia, Noto, Davide, Fortunato, Giuliana, Banderali, Giuseppe, Benso, Andrea, Bigolin, Paola, Bonora, Enzo, Bruzzi, Patrizia, Bucci, Marco, Buonuomo, Paola Sabrina, Capra, Maria Elena, Cardolini, Iri, Cefalù, Baldassarre, Cervelli, Nazzareno, Chiariello, Giuseppe, Cocci, Guido, Colombo, Emanuela, Cremonini, Anna Laura, D'Addato, Sergio, D'Erasmo, Laura, Dal Pino, Beatrice, De Sanctis, Luisa, De Vita, Emanuele, Del Ben, Maria, Di Costanzo, Alessia, Di Taranto, Maria Donata, Fasano, Tommaso, Gentile, Luigi, Gentile, Marco, Ghirardello, Omar, Grigore, Liliana, Lussu, Milena, Meregalli, Giancarla, Moffa, Simona, Montalcini, Tiziana, Morgia, Valeria, Nascimbeni, Fabio, Pasta, Andrea, Pavanello, Chiara, Saitta, Antonino, Scicali, Roberto, Siepi, Donatella, Spagnolli, Walter, Spina, Rossella, Sticchi, Elena, Suppressa, Patrizia, Vigo, Lorenzo, Vinci, Pierandrea, Manzato, Enzo, Tragni, Elena, Zampoleri, Veronica, D'addato, Sergio, D'erasmo, Laura, Casula, M, Olmastroni, E, Pirillo, A, Catapano, A, Averna, M, Noto, D, Cefalu, B, and Spina, R
- Subjects
Male ,Settore MED/09 - Medicina Interna ,Genetic testing ,Predictive Value of Test ,Familial hypercholesterolemia ,030204 cardiovascular system & hematology ,Decision Support Technique ,0302 clinical medicine ,Retrospective Studie ,Risk Factors ,Cardiovascular Disease ,Genetic Marker ,Prospective Studies ,030212 general & internal medicine ,Age of Onset ,Prospective cohort study ,education.field_of_study ,medicine.diagnostic_test ,Middle Aged ,Dutch Lipid Clinic Network score ,Adult ,Biomarkers ,Cardiovascular Diseases ,Cholesterol, LDL ,Female ,Genetic Markers ,Genetic Predisposition to Disease ,Genetic Testing ,Humans ,Hyperlipoproteinemia Type II ,Italy ,Phenotype ,Predictive Value of Tests ,Reproducibility of Results ,Retrospective Studies ,Risk Assessment ,Decision Support Techniques ,Mutation ,3. Good health ,Cholesterol ,Cardiology and Cardiovascular Medicine ,Human ,medicine.medical_specialty ,Population ,Reproducibility of Result ,Physical examination ,LDL ,03 medical and health sciences ,Internal medicine ,medicine ,First-degree relatives ,education ,business.industry ,Risk Factor ,Settore MED/13 - ENDOCRINOLOGIA ,Biomarker ,medicine.disease ,Missing data ,Dutch Lipid Clinic Network score, Familial hypercholesterolemia, Genetic testing ,Prospective Studie ,Age of onset ,business - Abstract
Background and aims Familial hypercholesterolemia (FH) is an inherited disorder characterized by high levels of blood cholesterol from birth and premature coronary heart disease. Thus, the identification of FH patients is crucial to prevent or delay the onset of cardiovascular events, and the availability of a tool helping with the diagnosis in the setting of general medicine is essential to improve FH patient identification. Methods This study evaluated the performance of the Dutch Lipid Clinic Network (DLCN) score in FH patients enrolled in the LIPIGEN study, an Italian integrated network aimed at improving the identification of patients with genetic dyslipidaemias, including FH. Results The DLCN score was applied on a sample of 1377 adults (mean age 42.9 ± 14.2 years) with genetic diagnosis of FH, resulting in 28.5% of the sample classified as probable FH and 37.9% as classified definite FH. Among these subjects, 43.4% had at least one missing data out of 8, and about 10.0% had 4 missing data or more. When analyzed based on the type of missing data, a higher percentage of subjects with at least 1 missing data in the clinical history or physical examination was classified as possible FH (DLCN score 3–5). We also found that using real or estimated pre-treatment LDL-C levels may significantly modify the DLCN score. Conclusions Although the DLCN score is a useful tool for physicians in the diagnosis of FH, it may be limited by the complexity to retrieve all the essential information, suggesting a crucial role of the clinical judgement in the identification of FH subjects.
- Published
- 2018
15. Detection of familial chylomicronemia syndrome in a cohort of patients with severe hypertriglyceridemia through a next generation sequencing approach
- Author
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D'erasmo, L., primary, Di Costanzo, A., additional, Cassandra, F., additional, Minicocci, I., additional, Polito, L., additional, and Arca, M., additional
- Published
- 2018
- Full Text
- View/download PDF
16. Autosomal Recessive Hypercholesterolemia Long-Term Cardiovascular Outcomes
- Author
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D'Erasmo, L, Minicocci, I, Nicolucci, A, Pintus, P, Roeters van Lennep, Jeanine, Masana, L, Mata, P, Sanchez-Hernandez, RM, Prieto-Matos, P, Real, JT, Prieto-Matos, PP, Lafuente, EE, Pocovi, M, Fuentes, FJ, Muntoni, S, Bertolini, S, Sirtori, C, Calabresi, L, Pavanello, C, Averna, M, Cefalu, A B, Noto, D, Pacifico, AA, Pes, GM, Harada-Shiba, M, Manzato, E, Zambon, S, Zambon, A, Vogt, A, Scardapane, M, Sjouke, B, Fellin, R, Arca, M, D'Erasmo, L, Minicocci, I, Nicolucci, A, Pintus, P, Roeters van Lennep, Jeanine, Masana, L, Mata, P, Sanchez-Hernandez, RM, Prieto-Matos, P, Real, JT, Prieto-Matos, PP, Lafuente, EE, Pocovi, M, Fuentes, FJ, Muntoni, S, Bertolini, S, Sirtori, C, Calabresi, L, Pavanello, C, Averna, M, Cefalu, A B, Noto, D, Pacifico, AA, Pes, GM, Harada-Shiba, M, Manzato, E, Zambon, S, Zambon, A, Vogt, A, Scardapane, M, Sjouke, B, Fellin, R, and Arca, M
- Published
- 2018
17. Evaluation of the performance of Dutch Lipid Clinic Network score in an Italian FH population: The LIPIGEN study
- Author
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Casula, M., Olmastroni, E., Pirillo, A., Catapano, A. L., Averna, M., Bertolini, Stefania, Calandra, S., Tarugi, P., Pellegatta, F., Angelico, F., Bartuli, A., Biasucci, G., Biolo, G., Bonanni, L., Bonomo, K., Borghi, C., Bossi, A. C., Branchi, A., Carubbi, F., Cipollone, F., Citroni, N., Federici, Marco, Ferri, C., Fiorenza, A. M., Giaccari, Andrea, Giorgino, F., Guardamagna, O., Iannuzzi, A., Iughetti, L., Lupattelli, G., Lupi, Alessandro, Mandraffino, G., Marcucci, R., Maroni, L., Miccoli, R., Mombelli, Gaia, Muntoni, S., Pecchioli, V., Pederiva, C., Pipolo, A., Pisciotta, L., Pujia, A., Purrello, F., Repetti, E., Rubba, P., Sabba, C., Sampietro, T., Sarzani, R., Tagliabue, M. P., Trenti, C., Vigna, G. B., Werba, J. P., Zambon, S., Zenti, M. G., Minicocci, I., Noto, D., Fortunato, G., Banderali, G., Benso, A., Bigolin, P., Bonora, E., Bruzzi, P., Bucci, M., Buonuomo, Paola Sabrina, Capra, M. E., Cardolini, I., Cefalu, B., Cervelli, N., Chiariello, Giovanni Alfonso, Cocci, G., Colombo, E., Cremonini, A. L., D'Addato, S., D'Erasmo, L., Dal Pino, B., De Sanctis, L., De Vita, E., Del Ben, M., Di Costanzo, A., Di Taranto, M. D., Fasano, T., Gentile, L., Gentile, Marino, Ghirardello, O., Grigore, L., Lussu, M., Meregalli, G., Moffa, Simona, Montalcini, T., Morgia, V., Nascimbeni, F., Pasta, A., Pavanello, C., Saitta, A., Scicali, R., Siepi, D., Spagnolli, W., Spina, R., Sticchi, E., Suppressa, P., Vigo, L., Vinci, P., Manzato, E., Tragni, E., Zampoleri, V., Arca, M., Bertolini S., Federici M., Giaccari A. (ORCID:0000-0002-7462-7792), Lupi A., Mombelli G., Buonuomo P. S., Chiariello G., Gentile M., Moffa S., Casula, M., Olmastroni, E., Pirillo, A., Catapano, A. L., Averna, M., Bertolini, Stefania, Calandra, S., Tarugi, P., Pellegatta, F., Angelico, F., Bartuli, A., Biasucci, G., Biolo, G., Bonanni, L., Bonomo, K., Borghi, C., Bossi, A. C., Branchi, A., Carubbi, F., Cipollone, F., Citroni, N., Federici, Marco, Ferri, C., Fiorenza, A. M., Giaccari, Andrea, Giorgino, F., Guardamagna, O., Iannuzzi, A., Iughetti, L., Lupattelli, G., Lupi, Alessandro, Mandraffino, G., Marcucci, R., Maroni, L., Miccoli, R., Mombelli, Gaia, Muntoni, S., Pecchioli, V., Pederiva, C., Pipolo, A., Pisciotta, L., Pujia, A., Purrello, F., Repetti, E., Rubba, P., Sabba, C., Sampietro, T., Sarzani, R., Tagliabue, M. P., Trenti, C., Vigna, G. B., Werba, J. P., Zambon, S., Zenti, M. G., Minicocci, I., Noto, D., Fortunato, G., Banderali, G., Benso, A., Bigolin, P., Bonora, E., Bruzzi, P., Bucci, M., Buonuomo, Paola Sabrina, Capra, M. E., Cardolini, I., Cefalu, B., Cervelli, N., Chiariello, Giovanni Alfonso, Cocci, G., Colombo, E., Cremonini, A. L., D'Addato, S., D'Erasmo, L., Dal Pino, B., De Sanctis, L., De Vita, E., Del Ben, M., Di Costanzo, A., Di Taranto, M. D., Fasano, T., Gentile, L., Gentile, Marino, Ghirardello, O., Grigore, L., Lussu, M., Meregalli, G., Moffa, Simona, Montalcini, T., Morgia, V., Nascimbeni, F., Pasta, A., Pavanello, C., Saitta, A., Scicali, R., Siepi, D., Spagnolli, W., Spina, R., Sticchi, E., Suppressa, P., Vigo, L., Vinci, P., Manzato, E., Tragni, E., Zampoleri, V., Arca, M., Bertolini S., Federici M., Giaccari A. (ORCID:0000-0002-7462-7792), Lupi A., Mombelli G., Buonuomo P. S., Chiariello G., Gentile M., and Moffa S.
- Abstract
Background and aims: Familial hypercholesterolemia (FH) is an inherited disorder characterized by high levels of blood cholesterol from birth and premature coronary heart disease. Thus, the identification of FH patients is crucial to prevent or delay the onset of cardiovascular events, and the availability of a tool helping with the diagnosis in the setting of general medicine is essential to improve FH patient identification. Methods: This study evaluated the performance of the Dutch Lipid Clinic Network (DLCN) score in FH patients enrolled in the LIPIGEN study, an Italian integrated network aimed at improving the identification of patients with genetic dyslipidaemias, including FH. Results: The DLCN score was applied on a sample of 1377 adults (mean age 42.9 ± 14.2 years) with genetic diagnosis of FH, resulting in 28.5% of the sample classified as probable FH and 37.9% as classified definite FH. Among these subjects, 43.4% had at least one missing data out of 8, and about 10.0% had 4 missing data or more. When analyzed based on the type of missing data, a higher percentage of subjects with at least 1 missing data in the clinical history or physical examination was classified as possible FH (DLCN score 3–5). We also found that using real or estimated pre-treatment LDL-C levels may significantly modify the DLCN score. Conclusions: Although the DLCN score is a useful tool for physicians in the diagnosis of FH, it may be limited by the complexity to retrieve all the essential information, suggesting a crucial role of the clinical judgement in the identification of FH subjects.
- Published
- 2018
18. Response to treatment and occurrence of cardiovascular (cv) complications in patients with autosomal recessive hypercholesterolemia (arh): A retrospective analysis
- Author
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D'Erasmo, L., primary, Minicocci, I., additional, Masana, L., additional, Muntoni, S., additional, Pintus, P., additional, Bertolini, S., additional, Sirtori, C.R., additional, Calabresi, L., additional, Pavanello, C., additional, Averna, M., additional, Cefalù, A.B., additional, Noto, D., additional, Pacifico, A., additional, Pes, G., additional, Harada-Shiba, M., additional, Roeters Van Lennep, J.R., additional, Fellin, R., additional, Manzato, E., additional, Zambon, S., additional, Zambon, A., additional, Mata, P., additional, Sánchez-Hernández, R.M., additional, Prieto-Matos, P., additional, Real, J.T., additional, Vogt, A., additional, and Arca, M., additional
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- 2017
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19. Response to treatment and occurrence of cardiovascular (CV) complications in patients with autosomal recessive hypercholesterolemia (ARH): A retrospective analysis
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D'Erasmo, L., primary, Minicocci, I., additional, Masana, L., additional, Roeters van Lennep, J., additional, Harada-Shiba, M., additional, Muntoni, S., additional, Pintus, P., additional, Bertolini, S., additional, Sirtori, C., additional, Calabresi, L., additional, Pavanello, C., additional, Averna, M., additional, Cefalù, A.B., additional, Noto, D., additional, Pacifico, A., additional, Pes, G., additional, Fellin, R., additional, Manzato, E., additional, Zambon, S., additional, and Arca, M., additional
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- 2016
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20. SUN-P001: Effects of Angiopoietin-Like Protein 3 Deficiency on Respiratory Quotient and Energy Expenditure after an Oral Fat Tolerance Test
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Poggiogalle, E., primary, Fontana, M., additional, Minicocci, I., additional, Montali, A., additional, Ceci, F., additional, Di Costanzo, A., additional, Rosano, A., additional, Arca, M., additional, Lenzi, A., additional, and Donini, L.M., additional
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- 2016
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21. Familial hypercholesterolemia: The Italian Atherosclerosis Society Network (LIPIGEN)
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Averna, Maurizio, Cefalã¹, Angelo B., Casula, Manuela, Noto, Davide, Arca, Marcello, Bertolini, Stefano, Calandra, Sebastiano, Catapano, Alberico L., Tarugi, Patrizia, Catapano, Alberico Luigi, Pellegatta, Fabio, Angelico, Francesco, Bartuli, Andrea, Biasucci, Giacomo, Biolo, Gianni, Bonanni, Luca, Bonomo, Katia, Borghi, Claudio, Bossi, Antonio Carlo, Branchi, Adriana, Carubbi, Francesca, Cipollone, Francesco, Citroni, Nadia, Federici, Massimo, Ferri, Claudio, Fiorenza, Anna Maria, Giaccari, Andrea, Giorgino, Francesco, Guardamagna, Ornella, Iannuzzi, Arcangelo, Iughetti, Lorenzo, Lupattelli, Graziana, Mandraffino, Giuseppe, Marcucci, Rossella, Mombelli, Giuliana, Muntoni, Sandro, Pecchioli, Valerio, Pederiva, Cristina, Pipolo, Antonio, Pisciotta, Livia, Pujia, Arturo, Purrello, Francesco, Repetti, Elena, Rubba, Paolo, Sabbà, Carlo, Sampietro, Tiziana, Sarzani, Riccardo, Tagliabue, Milena Paola, Trenti, Chiara, Vigna, Giovanni Battista, Werba, Josà Pablo, Zambon, Sabina, Zenti, Maria Grazia, Montali, Anna, Fortunato, Giuliana, Grigore, Liliana, Del Ben, Maria, Maranghi, Marianna, Barbagallo, Carlo M., Buonuomo, Paola Sabrina, Capra, Maria Elena, Vinci, Pierandrea, D'Addato, Sergio, Galbiati, Stella, Nascimbeni, Fabio, Bucci, Marco, Spagnoli, Walter, Cardolini, Iris, Cervelli, Nazzareno, Emanuela, Colombo, Vinsin, A. Sun, Laviola, Luigi, Bello, Francesca, Chiariello, Giuseppe, Predieri, Barbara, Siepi, Donatella, Saitta, Antonino, Giusti, Betti, Pavanello, Chiara, Lussu, Milena, Prati, Lucia, Banderali, Giuseppe, Balleari, Giulia, Montalcini, Tiziana, Scicali, Roberto, Gentile, Luigi, Gentile, Marco, Suppressa, Patrizia, Sbrana, Francesco, Cocci, Guido, Benso, Andrea, Negri, Emanuele Alberto, Ghirardello, Omar, Lorenzo, Vigo, Zambon, Alberto, Enzo, Bonora, Minicocci, Ilenia, Spina, Rossella, Orlando, Camilla, Di Taranto, Maria Donata, Chiodo, Lorenzo, Garlaschelli, Katia, Manzato, Enzo, Tragni, Elena, Averna, M., Cefalu', A., Casula, M., Noto, D., Arca, M., Bertolini, S., Calandra, S., Catapano, A., Tarugi, P., Pellegatta, F., Angelico, F., Bartuli, A., Biasucci, G., Biolo, G., Bonanni, L., Bonomo, K., Borghi, C., Bossi, A., Branchi, A., Carubbi, F., Cipollone, F., Citroni, N., Federici, M., Ferri, C., Fiorenza, A., Giaccari, A., Giorgino, F., Guardamagna, O., Iannuzzi, A., Iughetti, L., Lupattelli, G., Mandraffino, G., Marcucci, R., Mombelli, G., Muntoni, S., Pecchioli, V., Pederiva, C., Pipolo, A., Pisciotta, L., Pujia, A., Purrello, F., Repetti, E., Rubba, P., Sabbã , C., Sampietro, T., Sarzani, R., Tagliabue, M., Trenti, C., Vigna, G., Werba, J., Zambon, S., Zenti, M., Montali, A., Fortunato, G., Grigore, L., Del Ben, M., Maranghi, M., Cefalã¹, A., Barbagallo, C., Buonuomo, P., Capra, M., Vinci, P., D'Addato, S., Galbiati, S., Nascimbeni, F., Bucci, M., Spagnoli, W., Cardolini, I., Cervelli, N., Emanuela, C., Vinsin, A., Laviola, L., Bello, F., Chiariello, G., Predieri, B., Siepi, D., Saitta, A., Giusti, B., Pavanello, C., Lussu, M., Prati, L., Banderali, G., Balleari, G., Montalcini, T., Scicali, R., Gentile, L., Gentile, M., Suppressa, P., Sbrana, F., Cocci, G., Benso, A., Negri, E., Ghirardello, O., Lorenzo, V., Zambon, A., Enzo, B., Minicocci, I., Spina, R., Orlando, C., Di Taranto, M., Chiodo, L., Garlaschelli, K., Manzato, E., Tragni, E., Averna, Maurizio, Cefalã¹, Angelo B., Casula, Manuela, Noto, Davide, Arca, Marcello, Bertolini, Stefano, Calandra, Sebastiano, Catapano, Alberico L., Tarugi, Patrizia, Catapano, Alberico Luigi, Pellegatta, Fabio, Angelico, Francesco, Bartuli, Andrea, Biasucci, Giacomo, Biolo, Gianni, Bonanni, Luca, Bonomo, Katia, Borghi, Claudio, Bossi, Antonio Carlo, Branchi, Adriana, Carubbi, Francesca, Cipollone, Francesco, Citroni, Nadia, Federici, Massimo, Ferri, Claudio, Fiorenza, Anna Maria, Giaccari, Andrea, Giorgino, Francesco, Guardamagna, Ornella, Iannuzzi, Arcangelo, Iughetti, Lorenzo, Lupattelli, Graziana, Mandraffino, Giuseppe, Marcucci, Rossella, Mombelli, Giuliana, Muntoni, Sandro, Pecchioli, Valerio, Pederiva, Cristina, Pipolo, Antonio, Pisciotta, Livia, Pujia, Arturo, Purrello, Francesco, Repetti, Elena, Rubba, Paolo, Sabbã , Carlo, Sampietro, Tiziana, Sarzani, Riccardo, Tagliabue, Milena Paola, Trenti, Chiara, Vigna, Giovanni Battista, Werba, Josã Pablo, Zambon, Sabina, Zenti, Maria Grazia, Montali, Anna, Fortunato, Giuliana, Grigore, Liliana, DEL BELLO, Francesca, Maranghi, Marianna, Barbagallo, Carlo M., Buonuomo, Paola Sabrina, Capra, Maria Elena, Vinci, Pierandrea, D'Addato, Sergio, Galbiati, Stella, Nascimbeni, Fabio, Bucci, Marco, Spagnoli, Walter, Cardolini, Iri, Cervelli, Nazzareno, Emanuela, Colombo, Vinsin, A. Sun, Laviola, Luigi, Bello, Francesca, Chiariello, Giuseppe, Predieri, Barbara, Siepi, Donatella, Saitta, Antonino, Giusti, Betti, Pavanello, Chiara, Lussu, Milena, Prati, Lucia, Banderali, Giuseppe, Balleari, Giulia, Montalcini, Tiziana, Scicali, Roberto, Gentile, Luigi, Gentile, Marco, Suppressa, Patrizia, Sbrana, Francesco, Cocci, Guido, Benso, Andrea, Negri, Emanuele Alberto, Ghirardello, Omar, Lorenzo, Vigo, Zambon, Alberto, Enzo, Bonora, Minicocci, Ilenia, Spina, Rossella, Orlando, Camilla, Di Taranto, Maria Donata, Chiodo, Lorenzo, Garlaschelli, Katia, Manzato, Enzo, Tragni, Elena, Cefalù, Angelo B., Sabbà, Carlo, Werba, Josè Pablo, Del Ben, Maria, and Colombo, Emanuela
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0301 basic medicine ,Candidate gene ,Genetic testing ,Settore MED/09 - Medicina Interna ,Databases, Factual ,DNA Mutational Analysis ,Disease ,Familial hypercholesterolemia ,030204 cardiovascular system & hematology ,0302 clinical medicine ,Dyslipidemias ,National network ,Internal Medicine ,Cardiology and Cardiovascular Medicine ,Risk Factors ,Prospective Studies ,Program Development ,Prospective cohort study ,medicine.diagnostic_test ,General Medicine ,Prognosis ,Cholesterol ,Phenotype ,Italy ,Genetic Markers ,medicine.medical_specialty ,MEDLINE ,Hyperlipoproteinemia Type II ,03 medical and health sciences ,Databases ,Internal medicine ,medicine ,Humans ,Genetic Predisposition to Disease ,Factual ,Retrospective Studies ,business.industry ,Settore MED/13 - ENDOCRINOLOGIA ,Retrospective cohort study ,medicine.disease ,Atherosclerosis ,Mutation ,030104 developmental biology ,Endocrinology ,Dyslipidemia ,Genetic marker ,business - Abstract
Background and aims: Primary dyslipidemias are a heterogeneous group of disorders characterized by abnormal levels of circulating lipoproteins. Among them, familial hypercholesterolemia is the most common lipid disorder that predisposes for premature cardiovascular disease. We set up an Italian nationwide network aimed at facilitating the clinical and genetic diagnosis of genetic dyslipidemias named LIPIGEN (LIpid TransPort Disorders Italian GEnetic Network). Methods: Observational, multicenter, retrospective and prospective study involving about 40 Italian clinical centers. Genetic testing of the appropriate candidate genes at one of six molecular diagnostic laboratories serving as nationwide DNA diagnostic centers. Results and conclusions: From 2012 to October 2016, available biochemical and clinical information of 3480 subjects with familial hypercholesterolemia identified according to the Dutch Lipid Clinic Network (DLCN) score were included in the database and genetic analysis was performed in 97.8% of subjects, with a mutation detection rate of 92.0% in patients with DLCN score >= 6. The establishment of the LIPIGEN network will have important effects on clinical management and it will improve the overall identification and treatment of primary dyslipidemias in Italy. (C) 2017 The Authors. Published by Elsevier Ireland Ltd.
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- 2017
22. Spectrum of mutations in Italian patients with familial hypercholesterolemia: New results from the LIPIGEN study
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Pirillo, Angela, Garlaschelli, Katia, Arca, Marcello, Averna, Maurizio, Bertolini, Stefano, Calandra, Sebastiano, Tarugi, Patrizia, Catapano, Alberico L., Catapano, Alberico Luigi, Pellegatta, Fabio, Angelico, Francesco, Bartuli, Andrea, Biasucci, Giacomo, Biolo, Gianni, Bonanni, Luca, Bonomo, Katia, Borghi, Claudio, Bossi, Antonio Carlo, Branchi, Adriana, Carubbi, Francesca, Cipollone, Francesco, Citroni, Nadia, Federici, Massimo, Ferri, Claudio, Fiorenza, Anna Maria, Giaccari, Andrea, Giorgino, Francesco, Guardamagna, Ornella, Iannuzzi, Arcangelo, Iughetti, Lorenzo, Lupattelli, Graziana, Mandraffino, Giuseppe, Marcucci, Rossella, Mombelli, Giuliana, Muntoni, Sandro, Pecchioli, Valerio, Pederiva, Cristina, Pipolo, Antonio, Pisciotta, Livia, Pujia, Arturo, Purrello, Francesco, Repetti, Elena, Rubba, Paolo, Sabbà, Carlo, Sampietro, Tiziana, Sarzani, Riccardo, Tagliabue, Milena Paola, Trenti, Chiara, Vigna, Giovanni Battista, Werba, Josà Pablo, Zambon, Sabina, Zenti, Maria Grazia, Montali, Anna, Noto, Davide, Fortunato, Giuliana, Grigore, Liliana, Del Ben, Maria, Maranghi, Marianna, Cefalã¹, A. Baldassarre, Buonuomo, Paola Sabrina, Capra, Maria Elena, Vinci, Pierandrea, D'Addato, Sergio, Galbiati, Stella, Nascimbeni, Fabio, Bucci, Marco, Spagnoli, Walter, Cardolini, Iris, Cervelli, Nazzareno, Emanuela, Colombo, Sun, Vinsin A., Laviola, Luigi, Bello, Francesca, Chiariello, Giuseppe, Predieri, Barbara, Siepi, Donatella, Saitta, Antonino, Giusti, Betti, Pavanello, Chiara, Lussu, Milena, Prati, Lucia, Banderali, Giuseppe, Balleari, Giulia, Montalcini, Tiziana, Scicali, Roberto, Gentile, Luigi, Gentile, Marco, Suppressa, Patrizia, Sbrana, Francesco, Cocci, Guido, Benso, Andrea, Negri, Emanuele Alberto, Ghirardello, Omar, Lorenzo, Vigo, Zambon, Alberto, Enzo, Bonora, Minicocci, Ilenia, Spina, Rossella, Orlando, Camilla, Di Taranto, Maria Donata, Casula, Manuela, Chiodo, Lorenzo, Manzato, Enzo, Tragni, Elena, Pirillo, Angela, Garlaschelli, Katia, Arca, Marcello, Averna, Maurizio, Bertolini, Stefano, Calandra, Sebastiano, Tarugi, Patrizia, Catapano, Alberico L., Catapano, Alberico Luigi, Pellegatta, Fabio, Angelico, Francesco, Bartuli, Andrea, Biasucci, Giacomo, Biolo, Gianni, Bonanni, Luca, Bonomo, Katia, Borghi, Claudio, Bossi, Antonio Carlo, Branchi, Adriana, Carubbi, Francesca, Cipollone, Francesco, Citroni, Nadia, Federici, Massimo, Ferri, Claudio, Fiorenza, Anna Maria, Giaccari, Andrea, Giorgino, Francesco, Guardamagna, Ornella, Iannuzzi, Arcangelo, Iughetti, Lorenzo, Lupattelli, Graziana, Mandraffino, Giuseppe, Marcucci, Rossella, Mombelli, Giuliana, Muntoni, Sandro, Pecchioli, Valerio, Pederiva, Cristina, Pipolo, Antonio, Pisciotta, Livia, Pujia, Arturo, Purrello, Francesco, Repetti, Elena, Rubba, Paolo, Sabbã , Carlo, Sampietro, Tiziana, Sarzani, Riccardo, Tagliabue, Milena Paola, Trenti, Chiara, Vigna, Giovanni Battista, Werba, Josã Pablo, Zambon, Sabina, Zenti, Maria Grazia, Montali, Anna, Noto, Davide, Fortunato, Giuliana, Grigore, Liliana, DEL BELLO, Francesca, Maranghi, Marianna, Cefalã¹, A. Baldassarre, Buonuomo, Paola Sabrina, Capra, Maria Elena, Vinci, Pierandrea, D'Addato, Sergio, Galbiati, Stella, Nascimbeni, Fabio, Bucci, Marco, Spagnoli, Walter, Cardolini, Iri, Cervelli, Nazzareno, Emanuela, Colombo, Sun, Vinsin A., Laviola, Luigi, Bello, Francesca, Chiariello, Giuseppe, Predieri, Barbara, Siepi, Donatella, Saitta, Antonino, Giusti, Betti, Pavanello, Chiara, Lussu, Milena, Prati, Lucia, Banderali, Giuseppe, Balleari, Giulia, Montalcini, Tiziana, Scicali, Roberto, Gentile, Luigi, Gentile, Marco, Suppressa, Patrizia, Sbrana, Francesco, Cocci, Guido, Benso, Andrea, Negri, Emanuele Alberto, Ghirardello, Omar, Lorenzo, Vigo, Zambon, Alberto, Enzo, Bonora, Minicocci, Ilenia, Spina, Rossella, Orlando, Camilla, Di Taranto, Maria Donata, Casula, Manuela, Chiodo, Lorenzo, Manzato, Enzo, Tragni, Elena, Sabbà, Carlo, Werba, Josè Pablo, Del Ben, Maria, Cefalù, A. Baldassarre, DI BELLO, Francesca, Pirillo, A., Garlaschelli, K., Arca, M., Averna, M., Bertolini, S., Calandra, S., Tarugi, P., Catapano, A., Pellegatta, F., Angelico, F., Bartuli, A., Biasucci, G., Biolo, G., Bonanni, L., Bonomo, K., Borghi, C., Bossi, A., Branchi, A., Carubbi, F., Cipollone, F., Citroni, N., Federici, M., Ferri, C., Fiorenza, A., Giaccari, A., Giorgino, F., Guardamagna, O., Iannuzzi, A., Iughetti, L., Lupattelli, G., Mandraffino, G., Marcucci, R., Mombelli, G., Muntoni, S., Pecchioli, V., Pederiva, C., Pipolo, A., Pisciotta, L., Pujia, A., Purrello, F., Repetti, E., Rubba, P., Sabbã , C., Sampietro, T., Sarzani, R., Tagliabue, M., Trenti, C., Vigna, G., Werba, J., Zambon, S., Zenti, M., Montali, A., Noto, D., Fortunato, G., Grigore, L., Del Ben, M., Maranghi, M., Cefalu', A., Buonuomo, P., Capra, M., Vinci, P., D'Addato, S., Galbiati, S., Nascimbeni, F., Bucci, M., Spagnoli, W., Cardolini, I., Cervelli, N., Emanuela, C., Sun, V., Laviola, L., Bello, F., Chiariello, G., Predieri, B., Siepi, D., Saitta, A., Giusti, B., Pavanello, C., Lussu, M., Prati, L., Banderali, G., Balleari, G., Montalcini, T., Scicali, R., Gentile, L., Gentile, M., Suppressa, P., Sbrana, F., Cocci, G., Benso, A., Negri, E., Ghirardello, O., Lorenzo, V., Zambon, A., Enzo, B., Minicocci, I., Spina, R., Orlando, C., Di Taranto, M., Casula, M., Chiodo, L., Manzato, E., Tragni, E., and Colombo, Emanuela
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0301 basic medicine ,Apolipoprotein E ,Candidate gene ,Settore MED/09 - Medicina Interna ,Databases, Factual ,Apolipoprotein B ,DNA Mutational Analysis ,Familial hypercholesterolemia ,030204 cardiovascular system & hematology ,Compound heterozygosity ,PCSK9 ,0302 clinical medicine ,Risk Factors ,Receptors ,Genetics ,Homozygote ,Autosomal dominant trait ,Pathogenic variants ,General Medicine ,Prognosis ,APOB ,LDLR ,Cholesterol ,Phenotype ,Italy ,Autosomal Recessive Hypercholesterolemia ,Apolipoprotein B-100 ,lipids (amino acids, peptides, and proteins) ,Proprotein Convertase 9 ,Cardiology and Cardiovascular Medicine ,Preliminary Data ,Genetic Markers ,Familial hypercholesterolemiaLDLRPCSK9APOBPathogenic variants ,Heterozygote ,Biology ,Pathogenic variant ,LDL ,Hyperlipoproteinemia Type II ,03 medical and health sciences ,Databases ,medicine ,Internal Medicine ,Humans ,Genetic Predisposition to Disease ,Factual ,Settore MED/13 - ENDOCRINOLOGIA ,medicine.disease ,Atherosclerosis ,030104 developmental biology ,Receptors, LDL ,Mutation ,biology.protein - Abstract
Background Familial hypercholesterolemia (FH) is an autosomal dominant disease characterized by elevated plasma levels of LDL-cholesterol that confers an increased risk of premature atherosclerotic cardiovascular disease. Early identification and treatment of FH patients can improve prognosis and reduce the burden of cardiovascular mortality. Aim of this study was to perform the mutational analysis of FH patients identified through a collaboration of 20 Lipid Clinics in Italy (LIPIGEN Study). Methods We recruited 1592 individuals with a clinical diagnosis of definite or probable FH according to the Dutch Lipid Clinic Network criteria. We performed a parallel sequencing of the major candidate genes for monogenic hypercholesterolemia (LDLR, APOB, PCSK9, APOE, LDLRAP1, STAP1). Results A total of 213 variants were detected in 1076 subjects. About 90% of them had a pathogenic or likely pathogenic variants. More than 94% of patients carried pathogenic variants in LDLR gene, 27 of which were novel. Pathogenic variants in APOB and PCSK9 were exceedingly rare. We found 4 true homozygotes and 5 putative compound heterozygotes for pathogenic variants in LDLR gene, as well as 5 double heterozygotes for LDLR/APOB pathogenic variants. Two patients were homozygous for pathogenic variants in LDLRAP1 gene resulting in autosomal recessive hypercholesterolemia. One patient was found to be heterozygous for the ApoE variant p.(Leu167del), known to confer an FH phenotype. Conclusions This study shows the molecular characteristics of the FH patients identified in Italy over the last two years. Full phenotypic characterization of these patients and cascade screening of family members is now in progress.
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- 2017
23. Clinical and biochemical characteristics of individuals with low cholesterol syndromes: A comparison between familial hypobetalipoproteinemia and familial combined hypolipidemia
- Author
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Alessia Di Costanzo, Angelo B. Cefalù, Laura D'Erasmo, Patrizia Tarugi, Maurizio Averna, Enza Di Leo, Vito Cantisani, Davide Noto, Rossella Spina, Luca Polito, Ilenia Minicocci, Marcello Arca, Di Costanzo, A., Di Leo, E., Noto, D., Cefalu', A., Minicocci, I., Polito, L., D'Erasmo, L., Cantisani, V., Spina, R., Tarugi, P., Averna, M., and Arca, M.
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0301 basic medicine ,Male ,Hepatic steatosis ,Settore MED/09 - Medicina Interna ,Apolipoprotein B ,Endocrinology, Diabetes and Metabolism ,030204 cardiovascular system & hematology ,medicine.disease_cause ,ANGPTL3 gene ,APOB gene ,Familial combined hypolipidemia ,Familial hypobetalipoproteinemia ,HDL cholesterol ,Low cholesterol syndromes ,Hypobetalipoproteinemias ,Exon ,0302 clinical medicine ,ANGPTL3 ,Nutrition and Dietetic ,Genetics ,Mutation ,Nutrition and Dietetics ,biology ,hepatic steatosis ,Homozygote ,Middle Aged ,Phenotype ,lipids (amino acids, peptides, and proteins) ,Female ,Cardiology and Cardiovascular Medicine ,familial combined hypolipidemia ,familial hypobetalipoproteinemia ,low cholesterol syndromes ,medicine.medical_specialty ,Heterozygote ,Low cholesterol syndrome ,Hepatic steatosi ,03 medical and health sciences ,Internal medicine ,Internal Medicine ,medicine ,Humans ,Gene ,Aged ,Angiopoietin-Like Protein 3 ,Apolipoproteins B ,business.industry ,Heterozygote advantage ,medicine.disease ,030104 developmental biology ,Endocrinology ,Angiopoietin-like Proteins ,biology.protein ,Steatosis ,business - Abstract
Background The most frequent monogenic causes of low plasma cholesterol are familial hypobetalipoproteinemia (FHBL1) because of truncating mutations in apolipoprotein B coding gene (APOB) and familial combined hypolipidemia (FHBL2) due to loss-of-function mutations in ANGPTL3 gene. Objective A direct comparison of lipid phenotypes of these 2 conditions has never been carried out. In addition, although an increased prevalence of liver steatosis in FHBL1 has been consistently reported, the hepatic consequences of FHBL2 are not well established. Methods We investigated 350 subjects, 67 heterozygous carriers of APOB mutations, 63 carriers of the p.S17* mutation in ANGPTL3 (57 heterozygotes and 6 homozygotes), and 220 noncarrier normolipemic controls. Prevalence and degree of hepatic steatosis were assessed by ultrasonography. Results A steady decrease of low-density lipoprotein cholesterol levels were observed from heterozygous to homozygous FHBL2 and to FHBL1 individuals, with the lowest levels in heterozygous FHBL1 carrying truncating mutations in exons 1 to 25 of APOB (P for trend
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- 2017
24. Protocol for oil red O staining of low-density lipoproteins for in vivo cell treatment.
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Bini S, Covino S, Minicocci I, D'Erasmo L, Tramontano D, Di Costanzo A, Arca M, and Pecce V
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- Animals, Humans, Mice, Azo Compounds, Lipoproteins, LDL metabolism, Staining and Labeling methods
- Abstract
Low-density lipoproteins (LDLs) are the most abundant circulating lipoproteins and the most critical factor in the development of atherosclerosis. This protocol allows the staining of LDLs with oil red O to monitor particle uptake in bright-field microscopy. Here, we describe how to stain isolated LDLs using oil red O and how to use them to monitor LDL uptake in time-lapse experiments or fixed cells., Competing Interests: Declaration of interests M.A. received research grant support from Amryt Pharmaceutical, Amgen, Ionis, Akcea Therapeutics, Daiichi-Sankyo, Novartis, Pfizer, and Regeneron; served as a consultant for Amgen, Akcea Therapeutics, Daiichi-Sankyo, and Ultragenyx; and received fees for lecturing, congress participation, and advisory board participation from Amgen, Amryt Pharmaceutical, Daiichi-Sankyo, Regeneron, Sanofi, Amarin, and Ultragenyx. S.B. received fees for lectures from Sobi; detains stock options of Eli Lilly, UnitedHealth, Novo Nordisk, Merck, and Thermo Fisher Scientific; and received grants for meeting participation from Novartis and Chiesi. L.D. received personal fees for public speaking, consultancy, or grant support from Amryt Pharmaceutical, Akcea Therapeutics, Sobi, Aurora Biopharma, Novartis, Amarin, Daiichi-Sankyo, Bayer, and Sandoz. D.T. received fees for lectures from Sobi and grants for meeting participation from Ionis., (Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.)
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- 2024
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25. Effect of Cholesterol-Lowering Variants in ANGPTL3 and APOB Genes on Liver Disease.
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Di Costanzo A, Pirona I, Buonaiuto S, D'Erasmo L, Bini S, Tramontano D, Covino S, Maiorca C, Minicocci I, Sponziello M, Baratta F, Commodari D, Colonna V, Via A, and Arca M
- Abstract
Competing Interests: Funding Support and Author Disclosures Dr Di Costanzo is a recipient of a research position under cofunding from the European Union REACT-EU, PON Research and Innovation 2014-2020. Dr Pirona is supported by GenomeUp srl through an industrial PhD scholarship. Dr Bini has received personal fees for public speaking from SOBI; has stock options in Eli Lilly, UnitedHealth, Novo Nordisk, Merck, and Thermo Fisher Scientific; and has received grants for meeting participation from Novartis. Dr D’Erasmo has received personal fees for public speaking or consultancy or grant support from Amryt Pharmaceutical, Akcea Therapeutics, SOBI, AuroraBiopharma, Novartis, Amarin, Daiichi-Sankyo, Bayer, Ultragenyx, and Sandoz. Dr Baratta has received personal fees for public speaking from Sandoz. Dr Arca has received research grant support from Amryt Pharmaceutical, Amgen, IONIS, Akcea Therapeutics, Daiichi-Sankyo, Novartis, Pfizer, and Regeneron; has served as a consultant for Amgen, Akcea Therapeutics, Daiichi-Sankyo, and Ultragenyx; and has received fees for lecturing, congress participation, and advisory board participation from Amgen, Amryt Pharmaceutical, Daiichi-Sankyo, Regeneron, Sanofi, Amarin, and Ultragenyx. All other authors have reported that they have no relationships relevant to the contents of this paper to disclose.
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- 2024
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26. ANGPTL3 Deficiency and Risk of Hepatic Steatosis.
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D'Erasmo L, Di Martino M, Neufeld T, Fraum TJ, Kang CJ, Burks KH, Di Costanzo A, Minicocci I, Bini S, Maranghi M, Pigna G, Labbadia G, Zheng J, Fierro D, Montali A, Ceci F, Catalano C, Davidson NO, Lucisano G, Nicolucci A, Arca M, and Stitziel NO
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- Humans, Angiopoietin-like Proteins genetics, Triglycerides, Cholesterol, LDL, Angiopoietin-Like Protein 3
- Abstract
Background: ANGPTL3 (angiopoietin-like 3) is a therapeutic target for reducing plasma levels of triglycerides and low-density lipoprotein cholesterol. A recent trial with vupanorsen, an antisense oligonucleotide targeting hepatic production of ANGPTL3, reported a dose-dependent increase in hepatic fat. It is unclear whether this adverse effect is due to an on-target effect of inhibiting hepatic ANGPTL3., Methods: We recruited participants with ANGPTL3 deficiency related to ANGPTL3 loss-of-function (LoF) mutations, along with wild-type (WT) participants from 2 previously characterized cohorts located in Campodimele, Italy, and St. Louis, MO. Magnetic resonance spectroscopy and magnetic resonance proton density fat fraction were performed to measure hepatic fat fraction and the distribution of extrahepatic fat. To estimate the causal relationship between ANGPTL3 and hepatic fat, we generated a genetic instrument of plasma ANGPTL3 levels as a surrogate for hepatic protein synthesis and performed Mendelian randomization analyses with hepatic fat in the UK Biobank study., Results: We recruited participants with complete (n=6) or partial (n=32) ANGPTL3 deficiency related to ANGPTL3 LoF mutations, as well as WT participants (n=92) without LoF mutations. Participants with ANGPTL3 deficiency exhibited significantly lower total cholesterol (complete deficiency, 78.5 mg/dL; partial deficiency, 172 mg/dL; WT, 188 mg/dL; P <0.05 for both deficiency groups compared with WT), along with plasma triglycerides (complete deficiency, 26 mg/dL; partial deficiency, 79 mg/dL; WT, 88 mg/dL; P <0.05 for both deficiency groups compared with WT) without any significant difference in hepatic fat (complete deficiency, 9.8%; partial deficiency, 10.1%; WT, 9.9%; P >0.05 for both deficiency groups compared with WT) or severity of hepatic steatosis as assessed by magnetic resonance imaging. In addition, ANGPTL3 deficiency did not alter the distribution of extrahepatic fat. Results from Mendelian randomization analyses in 36 703 participants from the UK Biobank demonstrated that genetically determined ANGPTL3 plasma protein levels were causally associated with low-density lipoprotein cholesterol ( P =1.7×10
-17 ) and triglycerides ( P =3.2×10-18 ) but not with hepatic fat ( P =0.22)., Conclusions: ANGPTL3 deficiency related to LoF mutations in ANGPTL3 , as well as genetically determined reduction of plasma ANGPTL3 levels, is not associated with hepatic steatosis. Therapeutic approaches to inhibit ANGPTL3 production in hepatocytes are not necessarily expected to result in the increased risk for hepatic steatosis that was observed with vupanorsen., Competing Interests: Disclosures Dr Stitziel has received investigator-initiated research funding from Regeneron Pharmaceuticals related to ANGPTL3 (angiopoietin-like 3). Dr Arca has received research grant support from Amryt Pharmaceutical, Amgen, IONIS, Akcea Therapeutics, Daichi-Sankio, Novartis, Pfizer, and Sanofi; has served as a consultant for Amgen, Akcea Therapeutics, Daichi-Sankio, Novartis, Pfizer, Sanofi, and Alfasigma, and has received lecturing fees from Amgen, Amryth Pharmaceutical, Daichi-Sankio, Regeneron, Sanofi, and AlfaSigma. Dr D’Erasmo has received personal fees for public speaking or consultancy or grant support from Amryt Pharmaceuticals, Akcea Therapeutics, Pfizer, SOBI, Amgen, and Sanofi.- Published
- 2023
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27. Effectiveness of clinical scores in predicting coronary artery disease in familial hypercholesterolemia: a coronary computed tomography angiography study.
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Catapano F, Galea N, Pambianchi G, D'Erasmo L, Borrazzo C, Cundari G, Marchitelli L, Maranghi M, Minicocci I, Di Costanzo A, Carbone I, Francone M, Arca M, and Catalano C
- Subjects
- Humans, Computed Tomography Angiography, Coronary Angiography methods, Tomography, X-Ray Computed methods, Risk Factors, Predictive Value of Tests, Risk Assessment, Coronary Artery Disease diagnostic imaging, Coronary Artery Disease complications, Hyperlipoproteinemia Type II complications, Hyperlipoproteinemia Type II diagnostic imaging
- Abstract
Purpose: One of the major challenges in the management of familial hypercholesterolemia (FH) is the stratification of cardiovascular risk in asymptomatic subjects. Our purpose is to investigate the performance of clinical scoring systems, Montreal-FH-score (MFHS), SAFEHEART risk (SAFEHEART-RE) and FH risk score (FHRS) equations and Dutch Lipid Clinic Network (DLCN) diagnostic score, in predicting extent and severity of CAD at coronary computed tomography angiography (CCTA) in asymptomatic FH., Material and Methods: One-hundred and thirty-nine asymptomatic FH subjects were prospectively enrolled to perform CCTA. MFHS, FHRS, SAFEHEART-RE and DLCN were assessed for each patient. Atherosclerotic burden scores at CCTA (Agatston score [AS], segment stenosis score [SSS]) and CAD-RADS score were calculated and compared to clinical indices., Results: Non-obstructive CAD was found in 109 patients, while 30 patients had a CAD-RADS ≥ 3. Classifying the two groups according to AS, values varied significantly for MFHS (p < 0.001), FHRS (p < 0.001) and SAFEHEART-RE (p = 0.047), while according to SSS only MFHS and FHRS showed significant differences (p < 0.001). MFHS, FHRS and SAFEHEART-RE, but not DLCN, showed significant differences between the two CAD-RADS groups (p < .001). MFHS proved to have the best discriminatory power (AUC = 0.819; 0.703-0.937, p < 0.001) at ROC analysis, followed by FHRS (AUC = 0.795; 0.715-0.875, p < .0001) and SAFEHEART-RE (AUC = .725; .61-.843, p < .001)., Conclusions: Greater values of MFHS, FHRS and SAFEHEART-RE are associated to higher risk of obstructive CAD and might help to select asymptomatic patients that should be referred to CCTA for secondary prevention., (© 2023. The Author(s).)
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- 2023
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28. Genetically determined deficiency of ANGPTL3 does not alter HDL ability to preserve endothelial homeostasis.
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Ossoli A, Minicocci I, Turri M, Di Costanzo A, D'Erasmo L, Bini S, Montavoci L, Veglia F, Calabresi L, and Arca M
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- Humans, Angiopoietin-like Proteins genetics, Endothelial Cells, Angiopoietin-Like Protein 3, Hypobetalipoproteinemias genetics
- Abstract
Individuals with loss-of-function mutations in the ANGPTL3 gene express a rare lipid phenotype called Familial Combined Hypolipidemia (FHBL2). FHBL2 individuals show reduced plasma concentrations of total cholesterol and triglycerides as well as of lipoprotein particles, including HDL. This feature is particularly remarkable in homozygotes in whom ANGPTL3 in blood is completely absent. ANGPTL3 acts as a circulating inhibitor of LPL and EL and it is thought that EL hyperactivity is the cause of plasma HDL reduction in FHBL2. Nevertheless, the consequences of ANGTPL3 deficiency on HDL functionality have been poorly explored. In this report, HDL isolated from homozygous and heterozygous FHBL2 individuals were evaluated for their ability to preserve endothelial homeostasis as compared to control HDL. It was found that only the complete absence of ANGPTL3 alters HDL subclass distribution, as homozygous, but not heterozygous, carriers have reduced content of large and increased content of small HDL with no alterations in HDL2 and HDL3 size. The plasma content of preβ-HDL was reduced in carriers and showed a positive correlation with plasma ANGPTL3 levels. Changes in composition did not however alter the functionality of FHBL2 HDL, as particles isolated from carriers retained their capacity to promote NO production and to inhibit VCAM-1 expression in endothelial cells. Furthermore, no significant changes in circulating levels of soluble ICAM-1 and E-selectin were detected in carriers. These results indicate that changes in HDL composition associated with the partial or complete absence of ANGPTL3 did not alter some of the potentially anti-atherogenic functions of these lipoproteins., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2022 Elsevier B.V. All rights reserved.)
- Published
- 2023
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29. How ANGPTL3 Inhibition Will Help Our Clinical Practice?
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Bini S, Tramontano D, Minicocci I, Di Costanzo A, Tambaro F, D'Erasmo L, and Arca M
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- Humans, Angiopoietin-like Proteins, Mutation, Liver metabolism, Angiopoietin-Like Protein 3, Lipid Metabolism
- Abstract
Purpose of Review: This review aims to summarize the most recently published literature highlighting the potential of pharmacological inhibition of ANGPTL3 in treating patients suffering from dyslipidemias. The rational for this strategy will be discussed considering evidence describing the role of ANGPTL3 in lipid metabolism and the consequences of its deficiency in humans., Recent Findings: Recent trials have demonstrated the efficacy and safety of ANGPTL3 inhibition in treating homozygous familial hypercholesterolemia even in those patients carrying biallelic null/null variants, thus supporting the notion that the LDL-lowering effect of ANGPLT3 inhibition is LDLR-independent. The use of ANGPTL3 inhibition strategies has expanded its indications in hypertrygliceridemic patients with functional lipoprotein lipase activity. Contemporarily, the pharmacological research is exploring novel approaches to ANGPTL3 inhibition such as the use of a small interfering RNA targeting the ANGPTL3 transcript in the liver, a protein-based vaccine against ANGPTL3, and a CRISP-Cas-9 method for a liver-selective knock-out of ANGPTL3 gene. First, we will describe the molecular function of ANGPTL3 in lipoprotein metabolism. Then, we will revise the clinical characteristics of individuals carrying loss-of-function mutations of ANGPTL3, a rare condition known as familial hypobetalipoproteinemia type 2 (FHBL2) that represents a unique human model of ANGPTL3 deficiency. Finally, we will examine the lipid-lowering potential of pharmacological inhibition of ANGPTL3 based on the results of clinical trials employing Evinacumab, the first approved fully humanized monoclonal antibody against ANGPTL3. The future perspectives for ANGPTL3 inhibition will also be revised., (© 2023. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)
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- 2023
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30. ANGPTL3 deficiency associates with the expansion of regulatory T cells with reduced lipid content.
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Pinzon Grimaldos A, Pacella I, Bini S, Tucci G, Cammarata I, Di Costanzo A, Minicocci I, D'Erasmo L, Arca M, and Piconese S
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- Humans, Angiopoietin-like Proteins genetics, Angiopoietins genetics, Angiopoietins metabolism, Mevalonic Acid, Angiopoietin-Like Protein 3, Lipoproteins, Forkhead Transcription Factors genetics, T-Lymphocytes, Regulatory metabolism, Metabolic Diseases
- Abstract
Background and Aims: Angiopoietin-like 3 (ANGPTL3) regulates lipid and glucose metabolism. Loss-of-function mutations in its gene, leading to ANGPTL3 deficiency, cause in humans the familial combined hypolipidemia type 2 (FHBL2) phenotype, characterized by very low concentrations of circulating lipoproteins and reduced risk of atherosclerotic cardiovascular disease. Whether this condition is accompanied by immune dysfunctions is unknown. Regulatory T cells (Tregs) are CD4 T lymphocytes endowed with immune suppressive and atheroprotective functions and sensitive to metabolic signals. By investigating FHBL2, we explored the hypothesis that Tregs expand in response to extreme hypolipidemia, through a modulation of the Treg-intrinsic lipid metabolism., Methods: Treg frequency, phenotype, and intracellular lipid content were assessed ex vivo from FHBL2 subjects and age- and sex-matched controls, through multiparameter flow cytometry. The response of CD4 T cells from healthy controls to marked hypolipidemia was tested in vitro in low-lipid culture conditions., Results: The ex vivo analysis revealed that FHBL2 subjects showed higher percentages of Tregs with a phenotype undistinguishable from controls and with a lower lipid content, which directly correlated with the concentrations of circulating lipoproteins. In vitro, lipid restriction induced the upregulation of genes of the mevalonate pathway, including those involved in isoprenoid biosynthesis, and concurrently increased the expression of the Treg markers FOXP3 and Helios. The latter event was found to be prenylation-dependent, and likely related to increased IL-2 production and signaling., Conclusions: Our study demonstrates that FHBL2 is characterized by high Treg frequencies, a feature which may concur to the reduced atherosclerotic risk in this condition. Mechanistically, hypolipidemia may directly favor Treg expansion, through the induction of the mevalonate pathway and the prenylation of key signaling proteins., Competing Interests: Declaration of competing interests The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: L.D. has received personal fees for public speaking, consultancy or grant support from Amryt Pharmaceuticals, Akcea Therapeutics, Pfizer, Amgen, and Sanofi. S.B. has received personal fees for public speaking from Akcea Therapeutics. M.A. has received research grant support from Amryt Pharmaceuticals, Amgen, IONIS, Akcea Therapeutics, Pfizer, and Sanofi; has served as a consultant for Amgen, Aegerion, Akcea Therapeutics, Regeneron, Sanofi, and Alfasigma and received lecturing fees from Amgen, Amryt Pharmaceuticals, Pfizer, Sanofi, and AlfaSigma., (Copyright © 2022 Elsevier B.V. All rights reserved.)
- Published
- 2022
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31. Differential effects of bariatric surgery on plasma levels of ANGPTL3 and ANGPTL4.
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Bini S, D'Erasmo L, Astiarraga B, Minicocci I, Palumbo M, Pecce V, Polito L, Di Costanzo A, Haeusler RA, Arca M, Ferrannini E, and Camastra S
- Subjects
- Angiopoietin-Like Protein 3, Angiopoietin-Like Protein 4 genetics, Angiopoietin-like Proteins metabolism, Angiopoietins, Bile Acids and Salts, Blood Glucose metabolism, Fatty Acids, Nonesterified, Humans, Triglycerides, Bariatric Surgery adverse effects, Diabetes Mellitus, Type 2 diagnosis, Diabetes Mellitus, Type 2 surgery, Gastric Bypass adverse effects, Insulin Resistance, Obesity, Morbid diagnosis, Obesity, Morbid surgery
- Abstract
Background and Aim: Angiopoietin-like 3 (ANGPTL3) and 4 (ANGPTL4) are regulators of triglyceride storage and utilization. Bariatric surgery (BS) leads to profound changes in adipose tissue composition and energy metabolism. We evaluated the impact of BS on plasma levels of ANGPTL3 and ANGPTL4., Methods and Results: Twenty-seven subjects affected by morbid obesity with or without type 2 diabetes (T2D) underwent Roux-en-Y gastric bypass (RYGB) and 18 patients with advanced T2D received Biliopancreatic Diversion (BPD). Fasting ANGPTL proteins levels, insulin sensitivity (evaluated by euglycemic hyperinsulinemic clamp), total bile acids (TBA) and free fatty acids (FFA) were measured at baseline and 1 year after surgery. Both surgical procedures resulted in the loss of fat mass, improved glucose control, and a ∼2-fold increase of insulin sensitivity. ANGPTL4 levels decreased significantly with both RYGB (26.6 ± 0.6 to 24.4 ± 0.3 ng/mL, p = 0.001) and BPD (27.9 ± 1.5 to 24.0 ± 0.5 ng/mL, p = 0.003). In contrast, ANGPTL3 concentrations did not change after RYGB but rose following BPD (225 ± 20 to 300 ± 15 ng/mL, p = 0.003). By multiple regression analysis, changes after BS in ANGPTL4 were independently associated with changes in blood glucose, (p = 0.0169) whereas changes in ANGPTL3 were associated with variations in FFA (p = 0.008) and insulin sensitivity (p = 0.043)., Conclusion: Circulating ANGPTL4 is reduced by BS, probably due to the loss of fat mass and improved insulin sensitivity. Conversely, ANGPTL3 levels increased after BPD, but not after RYGB, presumably because of the metabolic changes induced by the malabsorptive effect of BPD., Competing Interests: Declaration of competing interest LD has received personal fees for public speaking, consultancy or grant support from Amryt Pharmaceuticals, Akcea Therapeutics, Pfizer, Amgen and Sanofi; MA has received research grant support from Amryt Pharmaceutical, Amgen, IONIS, Akcea Therapeutics, Pfizer and Sanofi; has served as a consultant for Amgen, Aegerion, Akcea Therapeutics, Regeneron, Sanofi and Alfasigma and received lecturing fees from Amgen, Amryth Pharmaceutical, Pfizer, Sanofi and AlfaSigma. EF reports receiving consultancy/speaker fees, outside the present work, from Boehringer Ingelheim, Lilly&Co., AstraZeneca, and Sanofi. Other authors have declared no conflict of interest., (Copyright © 2022 The Italian Diabetes Society, the Italian Society for the Study of Atherosclerosis, the Italian Society of Human Nutrition and the Department of Clinical Medicine and Surgery, Federico II University. All rights reserved.)
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- 2022
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32. Efficacy of Long-Term Treatment of Autosomal Recessive Hypercholesterolemia With Lomitapide: A Subanalysis of the Pan-European Lomitapide Study.
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D'Erasmo L, Giammanco A, Suppressa P, Pavanello C, Iannuzzo G, Di Costanzo A, Tramontano D, Minicocci I, Bini S, Vogt A, Stewards K, Roeters Van Lennep J, Bertolini S, and Arca M
- Abstract
Background and aim: Autosomal recessive hypercholesterolemia (ARH) is a rare autosomal recessive disorder of low-density lipoprotein (LDL) metabolism caused by pathogenic variants in the LDLRAP1 gene. Like homozygous familial hypercholesterolemia, ARH is resistant to conventional LDL-lowering medications and causes a high risk of atherosclerotic cardiovascular diseases (ASCVDs) and aortic valve stenosis. Lomitapide is emerging as an efficacious therapy in classical HoFH, but few data are available for ARH. Results: This is a subanalysis carried out on nine ARH patients included in the Pan-European Lomitapide Study. The age at starting lomitapide was 46 (interquartile range (IQR), 39.0-65.5) years, with a median treatment duration of 31.0 (IQR 14.0-40.5) months. At baseline, four (44.4%) patients had hypertension, one (11.1%) had diabetes mellitus, two (22.2%) were active smokers, and five (55.5%) reported ASCVD. The baseline LDL-C was 257.0 (IQR, 165.3-309.2) mg/dL. All patients were on statins plus ezetimibe, three were receiving Lipoprotein apheresis (LA), and one was also receiving proprotein convertase subtilisin/kexin type 9 inhibitors (PCSK9i). The addition of lomitapide (mean dose, 10 mg) resulted in the achievement of a median on-treatment LDL-C of 101.7 mg/dL (IQR, 71.3-138.3; 60.4% reduction from baseline), with a best LDL-C value of 68.0 mg/dL (IQR, 43.7-86.7; 73.5% reduction from baseline). During follow-up, one patient stopped both PCSK9i and LA. Recurrence of ASCVD events was reported in one patient. The median on-treatment aspartate transaminase and alanine transaminase values were 31.1 (IQR, 22.6-48.3) U/L and 31.1 (IQR, 27.2-53.8) U/L, respectively. Among six ARH patients with available fibroscan examination, liver stiffness values recorded at the last visit were within the normal range (median, 4.7 KPa; IQR, 3.6-5.3 KPa). Conclusion: Lomitapide is effective and safe in ARH therapy as well as in classical HoFH., Competing Interests: LD'E has received personal fees for public speaking, consultancy or grant support from Amryt Pharmaceuticals, Akcea Therapeutics, Pfizer, Amgen, SOBI and Sanofi; ABC has served as a consultant for Amryt Pharmaceutical; and received lecturing fees from Amryt Pharmaceutical, MSD, Sanofi and AlfaSigma; MAV has served as a consultant for Amgen, Sanofi, Akcea, Novartin, Amgen; MA has received research grant support from Amryt Pharmaceutical, Amgen, IONIS, Akcea Therapeutics, Pfizer and Sanofi; has served as a consultant for Amgen, Aegerion, Akcea Therapeutics, Regeneron, Sanofi and Alfasigma and received lecturing fees from Amgen, Amryt Pharmaceuticals, Pfizer, Sanofi and AlfaSigma; GI has received personal fees for public speaking, consultancy or grant support from Amryt Pharmaceuticals, Akcea Therapeutics, Pfizer, Regeneron, Amgen and Sanofi; SD'A has received personal fees as advisor board from Akcea and IONIS; CP has received fees for public speaking and consultancy from SOBI, Akcea Therapeutics and Amryt Pharmaceuticals; LC has received personal fees for public speaking, consultancy or grant support from Abionyx Pharma, MedImmune, Alexion, Daichii-Sankyo, Pfizer, Akcea Therapeutics;JRVL has received grant support from Amryt Pharmaceuticals; CJ has received speaker, consultancy fees or research grants from Amgen, Sanofi, Amryt, Pfizer, Novartis, Akcea; EL reported non-financial support from HELLENIC ATHEROSCLEROSIS SOCIETY and personal fees from AMGEN, personal fees from NOVARTIS, MYLAN, SERVIER. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 D’Erasmo, Giammanco, Suppressa, Pavanello, Iannuzzo, Di Costanzo, Tramontano, Minicocci, Bini, Vogt, Stewards, Roeters Van Lennep, Bertolini, Arca and the Italian and European Working Group on Lomitapide in HoFH.)
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- 2022
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33. The role of lipid metabolism in shaping the expansion and the function of regulatory T cells.
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Pinzon Grimaldos A, Bini S, Pacella I, Rossi A, Di Costanzo A, Minicocci I, D'Erasmo L, Arca M, and Piconese S
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- Cholesterol metabolism, Humans, Inflammation metabolism, Mevalonic Acid metabolism, Lipid Metabolism, T-Lymphocytes, Regulatory metabolism
- Abstract
Metabolic inflammation, defined as a chronic low-grade inflammation, is implicated in numerous metabolic diseases. In recent years, the role of regulatory T cells (Tregs) as key controllers of metabolic inflammation has emerged, but our comprehension on how different metabolic pathways influence Treg functions needs a deeper understanding. Here we focus on how circulating and intracellular lipid metabolism, in particular cholesterol metabolism, regulates Treg homeostasis, expansion, and functions. Cholesterol is carried through the bloodstream by circulating lipoproteins (chylomicrons, very low-density lipoproteins, low-density lipoproteins). Tregs are equipped with a wide array of metabolic sensors able to perceive and respond to changes in the lipid environment through the activation of different intracellular pathways thus conferring to these cells a crucial metabolic and functional plasticity. Nevertheless, altered cholesterol transport, as observed in genetic dyslipidemias and atherosclerosis, impairs Treg proliferation and function through defective cellular metabolism. The intracellular pathway devoted to the cholesterol synthesis is the mevalonate pathway and several studies have shown that this pathway is essential for Treg stability and suppressive activity. High cholesterol concentrations in the extracellular environment may induce massive accumulation of cholesterol inside the cell thus impairing nutrients sensors and inhibiting the mevalonate pathway. This review summarizes the current knowledge regarding the role of circulating and cellular cholesterol metabolism in the regulation of Treg metabolism and functions. In particular, we will discuss how different pathological conditions affecting cholesterol transport may affect cellular metabolism in Tregs., (© The Author(s) 2021. Published by Oxford University Press on behalf of the British Society for Immunology. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)
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- 2022
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34. The Fibrinogen-like Domain of ANGPTL3 Facilitates Lipolysis in 3T3-L1 Cells by Activating the Intracellular Erk Pathway.
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Bini S, Pecce V, Di Costanzo A, Polito L, Ghadiri A, Minicocci I, Tambaro F, Covino S, Arca M, and D'Erasmo L
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- 3T3-L1 Cells, Animals, Endothelial Cells metabolism, Fatty Acids, Nonesterified, Fibrinogen metabolism, Isoproterenol pharmacology, Mice, Sterol Esterase metabolism, Angiopoietin-Like Protein 3 metabolism, Lipolysis, MAP Kinase Signaling System
- Abstract
Background: ANGPTL3 stimulates lipolysis in adipocytes, but the underlying molecular mechanism is yet unknown. The C-terminal fibrinogen-like domain of ANGPTL3 (ANGPTL3-Fld) activates the AKT pathway in endothelial cells. Hence, we evaluated whether ANGPTL3-Fld stimulates lipolysis in adipocytes through the MAPK kinase pathway., Materials and Methods: 3T3-L1 adipocytes were treated with isoproterenol (ISO), ANGPTL3-Fld, or both. Lipolysis was evaluated through the release of free fatty acids (FFAs) in the culture medium. The activation status of intracellular kinases was evaluated with and without the inhibition of the BRAF-ERK arm of the MAPK pathway., Results: ANGPTL3-Fld alone was not able to activate lipolysis, while the combination of ANGPTL3-Fld and ISO determined a 10-fold enrichment of the FFA concentration in the culture medium with an incremental effect (twofold) when compared with ISO alone. ANGPTL3-Fld alone inhibited hormone-sensitive lipase (HSL), whereas the treatment with ISO induced the activation of HSL. The net balance of ANGPTL3-Fld and ISO cotreatment resulted in HSL activation. The results indicate that ANGPTL3-Fld generated an intracellular activation signal involving the MAPK-ERK pathway, possibly through the PDGFRβ-PLCγ-AMPK axis., Conclusion: ANGPTL3-Fld appears to act as a facilitator of lipolysis in adipocytes, and this effect was driven by a signal mediated by a pathway that is different from the canonical β-adrenergic stimulus.
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- 2022
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35. Refinement of pathogenicity classification of variants associated with familial hypercholesterolemia: Implications for clinical diagnosis.
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Di Costanzo A, Minicocci I, D'Erasmo L, Commodari D, Covino S, Bini S, Ghadiri A, Ceci F, Maranghi M, Catapano AL, Gazzotti M, Casula M, Montali A, and Arca M
- Subjects
- Adult, Child, Cholesterol, LDL metabolism, Cohort Studies, Female, Genetic Predisposition to Disease classification, Heterozygote, High-Throughput Nucleotide Sequencing methods, Humans, Hyperlipoproteinemia Type II diagnosis, Hyperlipoproteinemia Type II metabolism, Male, Middle Aged, Adaptor Proteins, Signal Transducing genetics, Apolipoproteins B genetics, Genetic Predisposition to Disease genetics, Hyperlipoproteinemia Type II genetics, Mutation, Proprotein Convertase 9 genetics, Receptors, LDL genetics
- Abstract
Background: The lack of functional evidence for most variants detected during the molecular screening of patients with clinical familial hypercholesterolemia (FH) makes the definitive diagnosis difficult., Methods: A total of 552 variants in LDLR, APOB, PCSK9 and LDLRAP1 genes found in 449 mutation-positive FH (FH/M+) patients were considered. Pathogenicity update was performed following the American College of Medical Genetics and Genomics (ACMG) guidelines with additional specifications on copy number variants, functional studies, in silico prediction and co-segregation criteria for LDLR, APOB and PCSK9 genes. Pathogenicity of LDLRAP1 variants was updated by using ACMG criteria with no change to original scoring., Results: After reclassification, the proportion of FH/M+ carriers of pathogenic (P) or likely pathogenic (LP) variants, and FH/M+ carriers of likely benign (LB) or benign (B) variants, was higher than that defined by standard criteria (81.5% vs. 79.7% and 7.1% vs. 2.7%). The refinement of pathogenicity classification also reduced the percentage of FH with variants of uncertain significance (VUS) (17.7% vs. 11.4%). After adjustment, the FH diagnosis by refined criteria best predicted LDL-C levels (P
adj <0.001). Notably, FH with VUS variants had higher LDL-C than those with LB (all Padj ≤ 0.033), but similar to those with LP variants., Conclusion: Accurate variant interpretation best predicts the increase of LDL-C levels and shows its clinical utility in the molecular diagnosis of FH., Competing Interests: Declaration of Competing Interest Authors have nothing to disclose in relation to the work described., (Copyright © 2021. Published by Elsevier Inc.)- Published
- 2021
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36. Clinical Implications of Monogenic Versus Polygenic Hypercholesterolemia: Long-Term Response to Treatment, Coronary Atherosclerosis Burden, and Cardiovascular Events.
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D'Erasmo L, Minicocci I, Di Costanzo A, Pigna G, Commodari D, Ceci F, Montali A, Brancato F, Stanca I, Nicolucci A, Ascione A, Galea N, Carbone I, Francone M, Maranghi M, and Arca M
- Subjects
- Adult, Atherosclerosis blood, Atherosclerosis epidemiology, Biomarkers blood, Cardiovascular Diseases blood, Cardiovascular Diseases epidemiology, Coronary Artery Disease blood, Coronary Artery Disease epidemiology, Female, Follow-Up Studies, Humans, Hyperlipoproteinemia Type II complications, Hyperlipoproteinemia Type II drug therapy, Incidence, Italy epidemiology, Male, Middle Aged, Prognosis, Prospective Studies, Retrospective Studies, Risk Factors, Time Factors, Atherosclerosis complications, Cholesterol, LDL blood, Cholinergic Antagonists therapeutic use, Coronary Artery Disease complications, Hyperlipoproteinemia Type II genetics, Registries
- Abstract
Background Familial hypercholesterolemia (FH) may arise from deleterious monogenic variants in FH-causing genes as well as from a polygenic cause. We evaluated the relationships between monogenic FH and polygenic hypercholesterolemia in influencing the long-term response to therapy and the risk of atherosclerosis. Methods and Results A cohort of 370 patients with clinically diagnosed FH were screened for monogenic mutations and a low-density lipoprotein-rising genetic risk score >0.69 to identify polygenic cause. Medical records were reviewed to estimate the response to lipid-lowering therapies and the occurrence of major atherosclerotic cardiovascular events during a median follow-up of 31.0 months. A subgroup of patients (n=119) also underwent coronary computed tomographic angiography for the evaluation of coronary artery calcium score and severity of coronary stenosis as compared with 135 controls. Two hundred nine (56.5%) patients with hypercholesterolemia were classified as monogenic (FH/M+), 89 (24.1%) as polygenic, and 72 (19.5%) genetically undefined (FH/M-). The response to lipid-lowering therapy was poorest in monogenic, whereas it was comparable in patients with polygenic hypercholesterolemia and genetically undetermined. Mean coronary artery calcium score and the prevalence of coronary artery calcium >100 units were significantly higher in FH/M+ as compared with both FH/M- and controls. Finally, after adjustments for confounders, we observed a 5-fold higher risk of incident major atherosclerotic cardiovascular events in FH/M+ (hazard ratio, 4.8; 95% CI, 1.06-21.36; P
adj =0.041). Conclusions Monogenic cause of FH is associated with lower response to conventional cholesterol-lowering therapies as well as with increased burden of coronary atherosclerosis and risk of atherosclerotic-related events. Genetic testing for hypercholesterolemia is helpful in providing important prognostic information.- Published
- 2021
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37. The Interplay between Angiopoietin-Like Proteins and Adipose Tissue: Another Piece of the Relationship between Adiposopathy and Cardiometabolic Diseases?
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Bini S, D'Erasmo L, Di Costanzo A, Minicocci I, Pecce V, and Arca M
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- Animals, Diabetes Mellitus, Type 2 etiology, Diabetes Mellitus, Type 2 metabolism, Diabetes Mellitus, Type 2 pathology, Disease Susceptibility, Energy Metabolism, Heart Diseases etiology, Heart Diseases metabolism, Humans, Insulin Resistance, Lipodystrophy etiology, Lipodystrophy metabolism, Lipodystrophy pathology, Metabolic Diseases etiology, Metabolic Diseases metabolism, Protein Binding, Adipose Tissue metabolism, Angiopoietin-like Proteins metabolism, Signal Transduction
- Abstract
Angiopoietin-like proteins, namely ANGPTL3-4-8, are known as regulators of lipid metabolism. However, recent evidence points towards their involvement in the regulation of adipose tissue function. Alteration of adipose tissue functions (also called adiposopathy) is considered the main inducer of metabolic syndrome (MS) and its related complications. In this review, we intended to analyze available evidence derived from experimental and human investigations highlighting the contribution of ANGPTLs in the regulation of adipocyte metabolism, as well as their potential role in common cardiometabolic alterations associated with adiposopathy. We finally propose a model of ANGPTLs-based adipose tissue dysfunction, possibly linking abnormalities in the angiopoietins to the induction of adiposopathy and its related disorders.
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- 2021
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38. Evolving trend in the management of heterozygous familial hypercholesterolemia in Italy: A retrospective, single center, observational study.
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D'Erasmo L, Commodari D, Di Costanzo A, Minicocci I, Polito L, Ceci F, Montali A, Maranghi M, and Arca M
- Subjects
- Adult, Biomarkers blood, Down-Regulation, Female, Genetic Predisposition to Disease, Humans, Hyperlipoproteinemia Type II blood, Hyperlipoproteinemia Type II diagnosis, Hyperlipoproteinemia Type II genetics, Male, Middle Aged, PCSK9 Inhibitors, Phenotype, Retrospective Studies, Rome, Serine Proteinase Inhibitors therapeutic use, Time Factors, Treatment Outcome, Anticholesteremic Agents therapeutic use, Cholesterol, LDL blood, Heterozygote, Hyperlipoproteinemia Type II drug therapy, Practice Patterns, Physicians' trends
- Abstract
Background and Aims: The effective reduction of LDL-C in patients with heterozygous familial hypercholesterolemia (HeFH) is crucial to reduce their increased cardiovascular risk. Diagnostic and therapeutic (PCSK9 inhibitors) tools to manage HeFH improved in recent years. However, the impact of these progresses in ameliorating the contemporary real-world care of these patients remains to be determined. Aim of this study was to assess the evolution of treatments and LDL-C control in a cohort of HeFH patients in Italy., Methods and Results: Four hundred six clinically diagnosed HeFH followed in a single, tertiary lipid centre were included in this survey. Data on lipid levels and medications were collected at baseline and during a median 3-year follow-up. At baseline, 19.8% of patients were receiving conventional high-potency lipid lowering therapies (LLT) and this percentage increased up to 50.8% at last visit. The knowledge of results of molecular diagnosis was associated with a significant increase in treatment intensity and LDL-C lowering. Nevertheless, the new LDL-C target (<70 mg/dl) was achieved only in 3.6% of HeFH patients under conventional LLTs and this proportion remained low (2.9%) also in those exposed to maximal conventional LLT. In 51 patients prescribed with PCSK9 inhibitors, 64.6% and 62.1% reached LDL-C<70 mg/dl at 3- and 12-month follow-up, respectively., Conclusions: Although treatments of HeFH improved over time, LDL-C target achievement with conventional LLT remains poor, mainly among women. The use of molecular diagnosis and even more the prescription of PCSK9i may improve LDL-C control in these patients., Competing Interests: Declaration of Competing Interest LD has received personal fees for public speaking, consultancy or grant support from Amryt Pharmaceuticals, Akcea Therapeutics, Pfizer and Sanofi outside of the present work; MA has received research grant support from Amryth Pharmaceutical, Amgen, IONIS, Akcea Therapeutics, Pfizer and Sanofi; has served as a consultant for Amgen, Aegerion, Akcea Therapeutics, Regeneron, Sanofi and Alfasigma and received lecturing fees from Amgen, Amryth Pharmaceutical, Pfizer, Sanofi and AlfaSigma outside of the present work. Other authors have nothing to disclose., (Copyright © 2020 The Italian Diabetes Society, the Italian Society for the Study of Atherosclerosis, the Italian Society of Human Nutrition and the Department of Clinical Medicine and Surgery, Federico II University. Published by Elsevier B.V. All rights reserved.)
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- 2020
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39. ANGPTL3 deficiency alters the lipid profile and metabolism of cultured hepatocytes and human lipoproteins.
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Ruhanen H, Haridas PAN, Minicocci I, Taskinen JH, Palmas F, di Costanzo A, D'Erasmo L, Metso J, Partanen J, Dalli J, Zhou Y, Arca M, Jauhiainen M, Käkelä R, and Olkkonen VM
- Subjects
- Adult, Aged, Angiopoietin-Like Protein 3, Angiopoietin-like Proteins genetics, Cell Line, Female, Humans, Lipoproteins blood, Male, Middle Aged, Triglycerides metabolism, Angiopoietin-like Proteins metabolism, Hepatocytes metabolism, Lipid Metabolism, Lipoproteins metabolism, Loss of Function Mutation
- Abstract
Loss-of-function (LOF) mutations in ANGPTL3, an inhibitor of lipoprotein lipase (LPL), cause a drastic reduction of serum lipoproteins and protect against the development of atherosclerotic cardiovascular disease. Therefore, ANGPTL3 is a promising therapy target. We characterized the impacts of ANGPTL3 depletion on the immortalized human hepatocyte (IHH) transcriptome, lipidome and human plasma lipoprotein lipidome. The transcriptome of ANGPTL3 knock-down (KD) cells showed altered expression of several pathways related to lipid metabolism. Accordingly, ANGPTL3 depleted IHH displayed changes in cellular overall fatty acid (FA) composition and in the lipid species composition of several lipid classes, characterized by abundant n-6 and n-3 polyunsaturated FAs (PUFAs). This PUFA increase coincided with an elevation of lipid mediators, among which there were species relevant for resolution of inflammation, protection from lipotoxic and hypoxia-induced ER stress, hepatic steatosis and insulin resistance or for the recovery from cardiovascular events. Cholesterol esters were markedly reduced in ANGPTL3 KD IHH, coinciding with suppression of the SOAT1 mRNA and protein. ANGPTL3 LOF caused alterations in plasma lipoprotein FA and lipid species composition. All lipoprotein fractions of the ANGPTL3 LOF subjects displayed a marked drop of 18:2n-6, while several highly unsaturated triacylglycerol (TAG) species were enriched. The present work reveals distinct impacts of ANGPTL3 depletion on the hepatocellular lipidome, transcriptome and lipid mediators, as well as on the lipidome of lipoproteins isolated from plasma of ANGPTL3-deficient human subjects. It is important to consider these lipidomics and transcriptomics findings when targeting ANGPTL3 for therapy and translating it to the human context., Competing Interests: Declaration of competing interest Authors declare no conflict of interest., (Copyright © 2020 Elsevier B.V. All rights reserved.)
- Published
- 2020
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40. Familial combined hypolipidemia: angiopoietin-like protein-3 deficiency.
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Arca M, D'Erasmo L, and Minicocci I
- Subjects
- Angiopoietin-Like Protein 3, Angiopoietin-like Proteins metabolism, Animals, Humans, Lipid Metabolism genetics, Lipid Metabolism physiology, Lipid Metabolism Disorders blood, Lipid Metabolism Disorders genetics, Lipid Metabolism Disorders metabolism, Lipoproteins metabolism, Angiopoietin-like Proteins deficiency, Angiopoietin-like Proteins genetics, Lipoproteins blood
- Abstract
Purpose of Review: Angiopoietin-like protein-3 (ANGPTL3) is emerging as a key player in lipoprotein transport with an expanding role on fatty acid and glucose metabolism. Its deficiency is associated with a favorable metabolic profile. The present review will highlight the recent understanding of metabolic and cardiovascular consequences of ANGPTL3 inactivation by considering both genetic and pharmacological investigations., Recent Findings: Experimental studies have further illustrated the complex interplay between ANGPTL3 and ANGPTL4-8 in orchestrating lipid transport in different nutritional status. Individuals with familial combined hypolipidemia due to homozygous loss-of-function mutations in ANGPTL3 gene showed improved metabolism of triglyceride-rich lipoproteins during fasting and postprandial state and increased fatty acid oxidation and insulin sensitivity. Moreover, mendelian randomizations studies demonstrated that partial ANGPTL3 deficiency associates with reduced risk of atherosclerotic cardiovascular events and, eventually, diabetes mellitus. Finally, inactivation of ANGPTL3, using either a specific mAb or antisense oligonucleotide, was reported to reduce plasma levels of atherogenic lipoprotein in humans and improve hepatic fat infiltration in animal models., Summary: Human and animal studies have further dissected the complex role of ANGPTL3 in the regulation of energy substrate metabolism. Moreover, genetic and pharmacological investigations have convincingly indicated that the inactivation of ANGPTL3 may be a very promising strategy to treat atherogenic metabolic disorders.
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- 2020
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41. Spectrum of Mutations and Long-Term Clinical Outcomes in Genetic Chylomicronemia Syndromes.
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D'Erasmo L, Di Costanzo A, Cassandra F, Minicocci I, Polito L, Montali A, Ceci F, and Arca M
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- Adolescent, Adult, Aged, Alleles, Apolipoprotein A-V metabolism, DNA Mutational Analysis, Female, Follow-Up Studies, Genotype, Humans, Hyperlipoproteinemia Type I metabolism, Lipoprotein Lipase metabolism, Male, Middle Aged, Prognosis, Time Factors, Young Adult, Apolipoprotein A-V genetics, DNA genetics, Hyperlipoproteinemia Type I genetics, Lipoprotein Lipase genetics, Mutation
- Abstract
Objective: Familial chylomicronemia syndrome (FCS) and multifactorial chylomicronemia syndrome (MCS) are the prototypes of monogenic and polygenic conditions underlying genetically based severe hypertriglyceridemia. These conditions have been only partially investigated so that a systematic comparison of their characteristics remains incomplete. We aim to compare genetic profiles and clinical outcomes in FCS and MCS. Approach and Results: Thirty-two patients with severe hypertriglyceridemia (triglyceride >1000 mg/dL despite lipid-lowering treatments with or without history of acute pancreatitis) were enrolled. Rare and common variants were screened using a panel of 18 triglyceride-raising genes, including the canonical LPL , APOC2 , APOA5 , GP1HBP1 , and LMF1 . Clinical information was collected retrospectively for a median period of 44 months. Across the study population, 37.5% were classified as FCS due to the presence of biallelic, rare mutations and 59.4% as MCS due to homozygosity for nonpathogenic or heterozygosity for pathogenic variants in canonical genes, as well as for rare and low frequency variants in noncanonical genes. As compared with MCS, FCS patients showed a lower age of hypertriglyceridemia onset, higher levels of on-treatment triglycerides, and 3-fold higher incidence rate of acute pancreatitis., Conclusions: Our data indicate that the genetic architecture and natural history of FCS and MCS are different. FCS expressed the most severe clinical phenotype as determined by resistance to triglyceride-lowering medications and higher incidence of acute pancreatitis episodes. The most common genetic abnormality underlying FCS was represented by biallelic mutations in LPL while APOA5 variants, in combination with high rare polygenic burden, were the most frequent genotype of MCS.
- Published
- 2019
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42. Metabolomic Signature of Angiopoietin-Like Protein 3 Deficiency in Fasting and Postprandial State.
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Tikkanen E, Minicocci I, Hällfors J, Di Costanzo A, D'Erasmo L, Poggiogalle E, Donini LM, Würtz P, Jauhiainen M, Olkkonen VM, and Arca M
- Subjects
- Adult, Alleles, Angiopoietin-Like Protein 3, Angiopoietin-like Proteins genetics, Cardiovascular Diseases prevention & control, Cholesterol, LDL blood, Dietary Fats, Female, Genotype, Humans, Ketone Bodies blood, Liver metabolism, Loss of Function Mutation, Male, Middle Aged, Molecular Targeted Therapy, Triglycerides blood, Angiopoietin-like Proteins deficiency, Fasting blood, Lipoproteins blood, Metabolome, Postprandial Period
- Abstract
Objective- Loss-of-function (LOF) variants in the ANGPTL3 (angiopoietin-like protein 3) have been associated with low levels of plasma lipoproteins and decreased coronary artery disease risk. We aimed to determine detailed metabolic effects of genetically induced ANGPTL3 deficiency in fasting and postprandial state. Approach and Results- We studied individuals carrying S17X LOF mutation in ANGPTL3 (6 homozygous and 32 heterozygous carriers) and 38 noncarriers. Nuclear magnetic resonance metabolomics was used to quantify 225 circulating metabolic measures. We compared metabolic differences between LOF carriers and noncarriers in fasting state and after a high-fat meal. In fasting, ANGPTL3 deficiency was characterized by similar extent of reductions in LDL (low-density lipoprotein) cholesterol (0.74 SD units lower concentration per LOF allele [95% CI, 0.42-1.06]) as observed for many TRL (triglyceride-rich lipoprotein) measures, including VLDL (very-low-density lipoprotein) cholesterol (0.75 [95% CI, 0.45-1.05]). Within most lipoprotein subclasses, absolute levels of cholesterol were decreased more than triglycerides, resulting in the relative proportion of cholesterol being reduced within TRLs and their remnants. Further, β-hydroxybutyrate was elevated (0.55 [95% CI, 0.21-0.89]). Homozygous ANGPTL3 LOF carriers showed essentially no postprandial increase in TRLs and fatty acids, without evidence for adverse compensatory metabolic effects. Conclusions- In addition to overall triglyceride- and LDL cholesterol-lowering effects, ANGPTL3 deficiency results in reduction of cholesterol proportion within TRLs and their remnants. Further, ANGPTL3 LOF carriers had elevated ketone body production, suggesting enhanced hepatic fatty acid β-oxidation. The detailed metabolic profile in human knockouts of ANGPTL3 reinforces inactivation of ANGPTL3 as a promising therapeutic target for decreasing cardiovascular risk.
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- 2019
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43. Autosomal Recessive Hypercholesterolemia: Long-Term Cardiovascular Outcomes.
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D'Erasmo L, Minicocci I, Nicolucci A, Pintus P, Roeters Van Lennep JE, Masana L, Mata P, Sánchez-Hernández RM, Prieto-Matos P, Real JT, Ascaso JF, Lafuente EE, Pocovi M, Fuentes FJ, Muntoni S, Bertolini S, Sirtori C, Calabresi L, Pavanello C, Averna M, Cefalu AB, Noto D, Pacifico AA, Pes GM, Harada-Shiba M, Manzato E, Zambon S, Zambon A, Vogt A, Scardapane M, Sjouke B, Fellin R, and Arca M
- Subjects
- Adolescent, Adult, Aged, Cardiovascular Diseases diagnosis, Child, Child, Preschool, Cholesterol, LDL blood, Cohort Studies, Female, Follow-Up Studies, Humans, Hypercholesterolemia diagnosis, Longitudinal Studies, Male, Middle Aged, Retrospective Studies, Time Factors, Treatment Outcome, Young Adult, Hyperlipoproteinemia Type III, Cardiovascular Diseases blood, Cardiovascular Diseases epidemiology, Hypercholesterolemia blood, Hypercholesterolemia epidemiology
- Abstract
Background: Autosomal recessive hypercholesterolemia (ARH) is a rare lipid disorder characterized by premature atherosclerotic cardiovascular disease (ASCVD). There are sparse data for clinical management and cardiovascular outcomes in ARH., Objectives: Evaluation of changes in lipid management, achievement of low-density lipoprotein cholesterol (LDL-C) goals and cardiovascular outcomes in ARH., Methods: Published ARH cases were identified by electronic search. All corresponding authors and physicians known to treat these patients were asked to provide follow-up information, using a standardized protocol., Results: We collected data for 52 patients (28 females, 24 males; 31.1 ± 17.1 years of age; baseline LDL-C: 571.9 ± 171.7 mg/dl). During a mean follow-up of 14.1 ± 7.3 years, there was a significant increase in the use of high-intensity statin and ezetimibe in combination with lipoprotein apheresis; in 6 patients, lomitapide was also added. Mean LDL-C achieved at nadir was 164.0 ± 85.1 mg/dl (-69.6% from baseline), with a better response in patients taking lomitapide (-88.3%). Overall, 23.1% of ARH patients reached LDL-C of <100 mg/dl. During follow-up, 26.9% of patients had incident ASCVD, and 11.5% had a new diagnosis of aortic valve stenosis (absolute risk per year of 1.9% and 0.8%, respectively). No incident stroke was observed. Age (≥30 years) and the presence of coronary artery disease at diagnosis were the major predictors of incident ASCVD., Conclusions: Despite intensive treatment, LDL-C in ARH patients remains far from targets, and this translates into a poor long-term cardiovascular prognosis. Our data highlight the importance of an early diagnosis and treatment and confirm the fact that an effective treatment protocol for ARH is still lacking., (Copyright © 2018 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.)
- Published
- 2018
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44. Clinical and biochemical characteristics of individuals with low cholesterol syndromes: A comparison between familial hypobetalipoproteinemia and familial combined hypolipidemia.
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Di Costanzo A, Di Leo E, Noto D, Cefalù AB, Minicocci I, Polito L, D'Erasmo L, Cantisani V, Spina R, Tarugi P, Averna M, and Arca M
- Subjects
- Aged, Angiopoietin-Like Protein 3, Angiopoietin-like Proteins genetics, Apolipoproteins B genetics, Female, Heterozygote, Homozygote, Humans, Male, Middle Aged, Mutation, Phenotype, Hypobetalipoproteinemias genetics
- Abstract
Background: The most frequent monogenic causes of low plasma cholesterol are familial hypobetalipoproteinemia (FHBL1) because of truncating mutations in apolipoprotein B coding gene (APOB) and familial combined hypolipidemia (FHBL2) due to loss-of-function mutations in ANGPTL3 gene., Objective: A direct comparison of lipid phenotypes of these 2 conditions has never been carried out. In addition, although an increased prevalence of liver steatosis in FHBL1 has been consistently reported, the hepatic consequences of FHBL2 are not well established., Methods: We investigated 350 subjects, 67 heterozygous carriers of APOB mutations, 63 carriers of the p.S17* mutation in ANGPTL3 (57 heterozygotes and 6 homozygotes), and 220 noncarrier normolipemic controls. Prevalence and degree of hepatic steatosis were assessed by ultrasonography., Results: A steady decrease of low-density lipoprotein cholesterol levels were observed from heterozygous to homozygous FHBL2 and to FHBL1 individuals, with the lowest levels in heterozygous FHBL1 carrying truncating mutations in exons 1 to 25 of APOB (P for trend <.001). Plasma triglycerides levels were similar in heterozygous FHBL1 and homozygous FHBL2 individuals, but higher in heterozygous FHBL2. The lowest high-density lipoprotein cholesterol levels were detected in homozygous FHBL2 (P for trend <.001). Compared with controls, prevalence and severity of hepatic steatosis were increased in heterozygous FHBL1 (P < .001), but unchanged in FHBL2 individuals., Conclusion: Truncating APOB mutations showed the more striking low-density lipoprotein cholesterol lowering effect compared with p.S17* mutation in ANGPTL3. Reduced high-density lipoprotein cholesterol levels were the unique lipid characteristic associated with FHBL2. Mutations impairing liver synthesis or secretion of apolipoprotein B are crucial to increase the risk of liver steatosis., (Copyright © 2017 National Lipid Association. Published by Elsevier Inc. All rights reserved.)
- Published
- 2017
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45. Analysis of Children and Adolescents with Familial Hypercholesterolemia.
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Minicocci I, Pozzessere S, Prisco C, Montali A, di Costanzo A, Martino E, Martino F, and Arca M
- Subjects
- Adolescent, Age Distribution, Alleles, Child, Child, Preschool, Cohort Studies, DNA Mutational Analysis, Female, Genetic Testing, Humans, Hyperlipoproteinemia Type II epidemiology, Incidence, Male, Prospective Studies, Risk Assessment, Sensitivity and Specificity, Statistics, Nonparametric, Cholesterol, LDL genetics, Genetic Predisposition to Disease epidemiology, Hyperlipoproteinemia Type II genetics
- Abstract
Objective: To evaluate the effectiveness of criteria based on child-parent assessment in predicting familial hypercholesterolemia (FH)-causative mutations in unselected children with hypercholesterolemia., Study Design: LDLR, APOB, and PCSK9 genes were sequenced in 78 children and adolescents (mean age 8.4 ± 3.7 years) with clinically diagnosed FH. The presence of polygenic hypercholesterolemia was further evaluated by genotyping 6 low-density lipoprotein cholesterol (LDL-C)-raising single-nucleotide polymorphisms., Results: Thirty-nine children (50.0%) were found to carry LDLR mutant alleles but none with APOB or PCSK9 mutant alleles. Overall, 27 different LDLR mutations were identified, and 2 were novel. Children carrying mutations showed higher LDL-C (215.2 ± 52.7 mg/dL vs 181.0 ± 44.6 mg/dL, P <.001) and apolipoprotein B levels (131.6 ± 38.3 mg/dL vs 100.3 ± 30.0 mg/dL, P <.004), compared with noncarriers. A LDL-C of ~190 mg/dL was the optimal value to discriminate children with and without LDLR mutations. When different diagnostic criteria were compared, those proposed by the European Atherosclerosis Society showed a reasonable balance between sensitivity and specificity in the identification of LDLR mutations. In children without mutation, the FH phenotype was not caused by the aggregation of LDL-C raising single-nucleotide polymorphisms., Conclusions: In unselected children with hypercholesterolemia, LDL-C levels >190 mg/dL and a positive family history of hypercholesterolemia appeared to be the most reliable criteria for detecting FH. As 50% of children with suspected FH did not carry FH-causing mutations, genetic testing should be considered., (Copyright © 2016 Elsevier Inc. All rights reserved.)
- Published
- 2017
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46. Effects of angiopoietin-like protein 3 deficiency on postprandial lipid and lipoprotein metabolism.
- Author
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Minicocci I, Tikka A, Poggiogalle E, Metso J, Montali A, Ceci F, Labbadia G, Fontana M, Di Costanzo A, Maranghi M, Rosano A, Ehnholm C, Donini LM, Jauhiainen M, and Arca M
- Subjects
- Angiopoietin-Like Protein 3, Angiopoietin-like Proteins, Angiopoietins blood, Angiopoietins deficiency, Apolipoprotein B-48 blood, Female, Heterozygote, Homozygote, Humans, Hypobetalipoproteinemias genetics, Hypobetalipoproteinemias pathology, Lipoproteins blood, Male, Middle Aged, Mutation, Postprandial Period, Triglycerides blood, Angiopoietins genetics, Fatty Acids, Nonesterified blood, Hypobetalipoproteinemias blood, Lipids blood
- Abstract
The consequences of angiopoietin-like protein 3 (ANGPTL3) deficiency on postprandial lipid and lipoprotein metabolism has not been investigated in humans. We studied 7 homozygous (undetectable circulating ANGPTL3 levels) and 31 heterozygous (50% of circulating ANGPTL3 levels) subjects with familial combined hypolipidemia (FHBL2) due to inactivating ANGPTL3 mutations in comparison with 35 controls. All subjects were evaluated at fasting and during 6 h after a high fat meal. Postprandial lipid and lipoprotein changes were quantified by calculating the areas under the curve (AUCs) using the 6 h concentration data. Plasma changes of β-hydroxybutyric acid (β-HBA) were measured as marker of hepatic oxidation of fatty acids. Compared with controls, homozygotes showed lower incremental AUCs (iAUCs) of total TG (-69%, P < 0.001), TG-rich lipoproteins (-90%, P < 0.001), apoB-48 (-78%, P = 0.032), and larger absolute increase of FFA (128%, P < 00.1). Also, heterozygotes displayed attenuated postprandial lipemia, but the difference was significant only for the iAUC of apoB-48 (-28%; P < 0.05). During the postprandial period, homozygotes, but not heterozygotes, showed a lower increase of β-HBA. Our findings demonstrate that complete ANGPTL3 deficiency associates with highly reduced postprandial lipemia probably due to faster catabolism of intestinally derived lipoproteins, larger expansion of the postprandial FFA pool, and decreased influx of dietary-derived fatty acids into the liver. These results add information on mechanisms underlying hypolipidemia in FHBL2., (Copyright © 2016 by the American Society for Biochemistry and Molecular Biology, Inc.)
- Published
- 2016
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47. Contribution of mutations in low density lipoprotein receptor (LDLR) and lipoprotein lipase (LPL) genes to familial combined hyperlipidemia (FCHL): a reappraisal by using a resequencing approach.
- Author
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Minicocci I, Prisco C, Montali A, Di Costanzo A, Ceci F, Pigna G, and Arca M
- Subjects
- Adult, Aged, Alleles, Alternative Splicing, Case-Control Studies, DNA Mutational Analysis, Family Health, Female, Genetic Variation, Genotype, Heterozygote, Humans, Italy, Male, Middle Aged, Mutation, Missense, Phenotype, Hyperlipidemia, Familial Combined enzymology, Hyperlipidemia, Familial Combined genetics, Lipoprotein Lipase genetics, Mutation, Receptors, LDL genetics
- Abstract
Background: Defective low-density lipoprotein receptor (LDLR) and lipoprotein lipase (LPL) alleles have been implicated in familial combined hyperlipidemia (FCHL). However, their contribution might have been influenced by diagnostic criteria. This study was aimed to reassess the frequency of rare and common variants in LDLR and LPL in FCHL individuals classified with stringent criteria., Methods: LDLR and LPL were resequenced in 208 FHCL and 171 controls. Variants were classified as loss- (LOF) or gain-of-function (GOF) based upon in silico prediction, familial segregation and available functional data., Results: Eight LOF variants were detected in LDLR, 6 of which were missense and 2 were predicted to disrupt normal splicing; all were present at heterozygous state. They were found in 10 FCHL but not in controls, thus indicating that 4.8% of FCHL individuals should be reclassified as FH. LDL-C (positive) and BMI (negative) were the strongest predictors of LDLR mutations with LDL-C 181 mg/dl being the best threshold for diagnosing the presence of dysfunctional LDLR alleles. The cumulative prevalence of definite LPL defective alleles (1 rare and 2 common heterozygous missense variants) was comparable between FCHL and controls (10.1% vs. 10.5%). Conversely, the LPL GOF variant p.Ser474* showed a lower frequency in FCHL than in controls (13.5% vs. 24.0%, p = 0.008). Overall, LOF LPL variants did not show a TG-modulating effect., Conclusions: Our findings indicate that, in well characterized FCHL individuals, variants in LDLR and LPL provide a small contribution to this dyslipidemia, thus limiting the need for such genetic testing., (Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.)
- Published
- 2015
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48. Clinical characteristics and plasma lipids in subjects with familial combined hypolipidemia: a pooled analysis.
- Author
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Minicocci I, Santini S, Cantisani V, Stitziel N, Kathiresan S, Arroyo JA, Martí G, Pisciotta L, Noto D, Cefalù AB, Maranghi M, Labbadia G, Pigna G, Pannozzo F, Ceci F, Ciociola E, Bertolini S, Calandra S, Tarugi P, Averna M, and Arca M
- Subjects
- Adolescent, Adult, Aged, Aged, 80 and over, Angiopoietin-Like Protein 3, Angiopoietin-like Proteins, Angiopoietins blood, Angiopoietins genetics, Cardiovascular Diseases genetics, Child, Cohort Studies, Fatty Liver genetics, Gene Expression Regulation, Heterozygote, Homozygote, Humans, Lipoprotein(a) blood, Middle Aged, Mutation, Young Adult, Hypobetalipoproteinemias blood, Hypobetalipoproteinemias genetics, Lipids blood
- Abstract
Angiopoietin-like 3 (ANGPTL3) regulates lipoprotein metabolism by modulating extracellular lipases. Loss-of function mutations in ANGPTL3 gene cause familial combined hypolipidemia (FHBL2). The mode of inheritance and hepatic and vascular consequences of FHBL2 have not been fully elucidated. To get further insights on these aspects, we reevaluated the clinical and the biochemical characteristics of all reported cases of FHBL2. One hundred fifteen FHBL2 individuals carrying 13 different mutations in the ANGPTL3 gene (14 homozygotes, 8 compound heterozygotes, and 93 heterozygotes) and 402 controls were considered. Carriers of two mutant alleles had undetectable plasma levels of ANGPTL3 protein, whereas heterozygotes showed a reduction ranging from 34% to 88%, according to genotype. Compared with controls, homozygotes as well as heterozygotes showed a significant reduction of all plasma lipoproteins, while no difference in lipoprotein(a) [Lp(a)] levels was detected between groups. The prevalence of fatty liver was not different in FHBL2 subjects compared with controls. Notably, diabetes mellitus and cardiovascular disease were absent among homozygotes. FHBL2 trait is inherited in a codominant manner, and the lipid-lowering effect of two ANGPTL3 mutant alleles was more than four times larger than that of one mutant allele. No changes in Lp(a) were detected in FHBL2. Furthermore, our analysis confirmed that FHBL2 is not associated with adverse clinical sequelae. The possibility that FHBL2 confers lower risk of diabetes and cardiovascular disease warrants more detailed investigation.
- Published
- 2013
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49. Functional and morphological vascular changes in subjects with familial combined hypolipidemia: an exploratory analysis.
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Minicocci I, Cantisani V, Poggiogalle E, Favari E, Zimetti F, Montali A, Labbadia G, Pigna G, Pannozzo F, Zannella A, Ceci F, Ciociola E, Santini S, Maranghi M, Vestri A, Ricci P, Bernini F, and Arca M
- Subjects
- Aged, Dyslipidemias pathology, Dyslipidemias physiopathology, Female, Humans, Male, Middle Aged, Blood Vessels pathology, Blood Vessels physiopathology, Dyslipidemias genetics
- Published
- 2013
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50. Metabolic consequences of adipose triglyceride lipase deficiency in humans: an in vivo study in patients with neutral lipid storage disease with myopathy.
- Author
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Natali A, Gastaldelli A, Camastra S, Baldi S, Quagliarini F, Minicocci I, Bruno C, Pennisi E, and Arca M
- Subjects
- Adiposity, Adult, Blood Glucose metabolism, Body Mass Index, Female, Glucose metabolism, Glucose Clamp Technique, Humans, Insulin metabolism, Insulin Resistance physiology, Insulin-Secreting Cells metabolism, Lipase genetics, Lipase metabolism, Lipid Metabolism, Inborn Errors genetics, Lipid Metabolism, Inborn Errors pathology, Lipolysis physiology, Male, Middle Aged, Muscle, Skeletal pathology, Muscular Diseases genetics, Muscular Diseases pathology, Body Composition genetics, Lipase deficiency, Lipid Metabolism, Inborn Errors metabolism, Muscle, Skeletal metabolism, Muscular Diseases metabolism, Mutation
- Abstract
Context: The role of adipose triglyceride lipase (ATGL) in intermediate substrates metabolism has not been fully elucidated in humans., Objective: Our objective was to evaluate the consequences of ATGL deficiency on body fat distribution, insulin sensitivity, fatty acids metabolism, and energy substrate utilization., Design and Setting: Body composition and organ fat content were measured by bioimpedance and (1)H nuclear magnetic resonance spectroscopy; heart glucose metabolism by [(18)F]deoxyglucose positron emission tomography and insulin sensitivity and β-cell function by oral glucose tolerance and 2-step euglycemic-hyperinsulinemic clamp. Lipolysis ([(2)H5]glycerol turnover) and indirect calorimetry were evaluated at fasting, after oral glucose load, during the clamp, and also during an iv epinephrine infusion. These metabolic investigations were carried out during hospitalization., Patients: Three patients affected by neutral lipid storage disease with myopathy (NLSDM) due to homozygosity for loss-of-function mutations in the ATGL gene and 6 sex-, age-, and body mass index-matched controls were studied., Results: As expected, NLSDM patients showed diffuse, although heterogeneous, fat infiltration in skeletal muscles associated with increased visceral fat. Although heart and liver were variably affected, fat content in the pancreas was increased in all patients. Compared with healthy controls, NLSDM patients showed impaired insulin response to glucose possibly related to the severe pancreatic steatosis, preserved whole-body insulin sensitivity, and a shift toward glucose metabolism in the heart. Fasting nonesterified fatty acid concentrations as well as basal lipolytic rates and the antilipolytic effect of insulin were normal in NLSDM patients, whereas the lipolytic effect of norepinephrine was impaired. Finally, no significant abnormality in the respiratory quotient was noted in NLSDM patients., Conclusions: In humans, ATGL has a remarkable effect on cellular lipid droplet handling, and its lack causes both perivisceral, skeletal muscle, and pancreas fat accumulation; in contrast, the impact on whole-body insulin sensitivity and fatty acid metabolism is minor.
- Published
- 2013
- Full Text
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