Koomesh
Journal of Semnan University of Medical Sciences
Outlines
Non-invasive diagnosis of phenylketonuria by using artificial neural networking and nuclear magnetic resonance spectroscopy
Abstract
References
- 1.Centerwall SA, Centerwall WR. The discovery of phenylketonuria: the story of a young couple, two retarded children, and a scientist. Pediatrics 2000; 105: 89-103.
- 2.Farhud D, Shalileh M. Phenylketonuria and its dietary therapy in children. 2009.
- 3.Blbl S. Novel approach for newborn errors in metabolism screening (NEMS) by NMR: Clinical NEMS-by-NMR Study in Turkey. Clin Biochem 2014; 9: 700-701.
- 4.Mokhtari R, Bagga A. Consanguinity, genetic disorders and malformations in the Iranian population. Acta Biologica Szegediensis 2003; 47: 47-50.
- 5.Rao AN, Kavitha J, Koch M, Kumar VS. Inborn errors of metabolism: Review and data from a tertiary care center. Indian J Clin Biochem 2009; 24: 215-222.
- 6.Dougherty FE, Levy HL. Present newborn screening for phenylketonuria. Ment Retard Dev Disabil Res Rev 1999; 5: 144-149.
- 7.Arjmand M, Kompany-Zareh M, Vasighi M, Parvizzadeh N, Zamani Z, Nazgooei F. Nuclear magnetic resonance-based screening of thalassemia and quantification of some hematological parameters using chemometric methods. Talanta 2010; 81: 1229-1236.
- 8.Viant MR, Rosenblum ES, Tjeerdema RS. NMR-based metabolomics: a powerful approach for characterizing the effects of environmental stressors on organism health. Environ Sci Technol 2003; 37: 4982-4989.
- 9.Zhang A, Sun H, Wu X, Wang X. Urine metabolomics. Clinica Chimica Acta 2012; 414: 65-69.
- 10.Agatonovic-Kustrin S, Beresford R. Basic concepts of artificial neural network (ANN) modeling and its application in pharmaceutical research. J Pharm Biomed Anal 2000; 22: 717-727.
- 11.Brougham D, Ivanova G, Gottschalk M, Collins D, Eustace A, O'Connor R, Havel J. Artificial neural networks for classification in metabolomic studies of whole cells using 1 h nuclear magnetic resonance. J Biomed Biotechnol 2010; 2011: 158094.
- 12.Long W. Medical diagnosis using a probabilistic causal network. Appl Artific Int Intern J 1989; 3: 367-383.
- 13.Long WJ. Flexible reasoning about patient management using multiple models. Artific Int Med 1991; 3: 3-20.
- 14.Arjmand M, Akbari Z, Taghizadeh N, Shahbazzadeh D, Zamani Z. NMR-based metabonomics survey in rats envenomed by Hemiscorpius lepturus venom. Toxicon 2015; 94: 16-22.
- 15.Viant MR. Revealing the metabolome of animal tissues using 1H nuclear magnetic resonance spectroscopy. Methods Mol Biol 2007; 358: 229-246.
- 16.Sadoughi F, Sheikhtaheri A. Applications of artificial intelligence in clinical decision making: Opportunities and challenges. Director General 2011; 8.
- 17.Raghuveer TS, Garg U, Graf WD. Inborn errors of metabolism in infancy and early childhood: an update. Am Fam Phys 2006; 73: 1981-1990.
- 18.Liebl B, Nennstiel-Ratzel U, Roscher A, von Kries R. Data required for the evaluation of newborn screening programmes. Eur J pediat 2003; 162: S57-S61.
- 19.Liebl B, Nennstiel-Ratzel U, von Kries R, Fingerhut R, Olgemller B, Zapf A, Roscher AA. Expanded newborn screening in Bavaria: tracking to achieve requested repeat testing. Prev Med 2002; 34: 132-137.
- 20.Hanley WB. Phenylketonuria (PKU)-A Success Story: INTECH Open Access Publisher; 2012.
- 21.Guthrie R, Susi A. A simple phenylalanine method for detecting phenylketonuria in large populations of newborn infants. Pediatrics 1963; 32: 338-343.
- 22.Koch J. Robert guthrie--the PKU story: a crusade against mental retardation: Hope Publishing House; 1997.
- 23.Blumenfeld CM, Wallace MJ, Anderson R. Phenylketonuriathe guthrie screening testA method of quantitation, observations on reliability and suggestions for improvement. Calif Med 1966; 105: 429.
- 24.Constantinou MA, Papakonstantinou E, Spraul M, Sevastiadou S, Costalos C, Koupparis MA, et al. 1 H NMR-based metabonomics for the diagnosis of inborn errors of metabolism in urine. Anal Chim Acta 2005; 542: 169-177.
- 25.Ozand PT. Diagnosis of inborn errors of metabolism by tandem mass spectrometry. Annal Saudi Med 1998; 18: 234-238.
- 26.Williams RA, Mamotte CD, Burnett JR. Phenylketonuria: an inborn error of phenylalanine metabolism. Clin Biochem Rev 2008; 29: 31.
- 27.Gupta A. To err is genetics: diagnosis and management of inborn errors of metabolism (IEM). Anthropology Today: Trends, Scopes and Applications 2007; 415-423.
- 28.Xia J, Broadhurst DI, Wilson M, Wishart DS. Translational biomarker discovery in clinical metabolomics: an introductory tutorial. Metabolomics 2013; 9: 280-299.
- 29.Zhengzheng p, Haiwei G, Nari T, Huanwen C, Narasimhamurthy S, Bryan EH, R GC, Daniel R. Principal component analysis of urine metabolites detected by NMR and DESIMS in patients with inborn errors of metabolism. Anal Bioanal Chem 2007; 387: 539-549.
Copyright
© 2016, Author(s). This open-access article is available under the Creative Commons Attribution 4.0 (CC BY 4.0) International License (https://creativecommons.org/licenses/by/4.0/), which allows for unrestricted use, distribution, and reproduction in any medium, provided that the original work is properly cited.
Similar Articles
A Dynamic Model for Predicting Prostate Cancer in Iranian Men Based on a Perceptron Neural Network
Allameh F, Qashqai H, Salavati A. A Dynamic Model for Predicting Prostate Cancer in Iranian Men Based on a Perceptron Neural Network. Int J Cancer Manag. 2017;10(3):e7415. doi: https://doi.org/10.5812/ijcm.7415
A Novel Classification Method Based on Multilayer Perceptron-Artificial Neural Network Technique for Diagnosis of Chronic Kidney Disease
Sharifi A, Alizadeh K. A Novel Classification Method Based on Multilayer Perceptron-Artificial Neural Network Technique for Diagnosis of Chronic Kidney Disease. Ann Mil Health Sci Res. 2020;18(1):e101585. doi: https://doi.org/10.5812/amh.101585
Prevalence of Overweight and Obesity in Children Diagnosed with Phenylketonuria
Atef Abdelsattar Ibrahim H, Fouad Ahmed G, Mohamed Abdelhamid ElKhashab K, Amin AA, Farag Attia Elsebaey A, et al. Prevalence of Overweight and Obesity in Children Diagnosed with Phenylketonuria. J Compr Ped. 2023;14(3):e136499. doi: https://doi.org/10.5812/compreped-136499
Study on the Efficiency of a Multi-layer Perceptron Neural Network Based on the Number of Hidden Layers and Nodes for Diagnosing Coronary- Artery Disease
Moghaddasi H, Ahmadzadeh B, Rabiei R, Farahbakhsh M. Study on the Efficiency of a Multi-layer Perceptron Neural Network Based on the Number of Hidden Layers and Nodes for Diagnosing Coronary- Artery Disease. Jentashapir J Cell Mol Biol. 2017;8(3):e63032. doi: https://doi.org/10.5812/jjhr.63032
Efect of a controlled diet program on behavioral-emotional disorders in patients with phenylketonuria
Shahpouri J, Karami S, Mohammadi S, Mollamohammadi M, Mohammadbeigi A. Efect of a controlled diet program on behavioral-emotional disorders in patients with phenylketonuria. koomesh. 2020;22(2):e153184. doi:
- Scopus by DOI: 0
Last Update: 1 month ago
- Scopus by Title: 3
Last Update: 1 month ago
- Scopus by Title (Ref): 3
Last Update: 1 month ago
- CrossRef: 0
Last Update: 4 days ago
Ordering Reprints
Articles are published under the Creative Commons license stated on each article. No permission or royalty fee is required for uses permitted by that license. CCC handles optional bulk and customized reprint orders. Any quotation covers production and delivery services only, not copyright permission. > Request Reprints from CCC
Author(s):