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1. Clinical validation of cutoff target ranges in newborn screening of metabolic disorders by tandem mass spectrometry: A worldwide collaborative project

Author

Mchugh, Dm, Cameron, Ca, Abdenur, Je, Abdulrahman, M., Adair, O., Al Nuaimi SA, Åhlman, H., Allen, Jj, Antonozzi, I., Archer, S., Au, S., Auray Blais, C., Baker, M., Bamforth, F., Beckmann, K., Pino, Gb, Berberich, Sl, Binard, R., Boemer, F., Bonham, J., Breen, Nn, Bryant, Sc, Caggana, M., Caldwell, Sg, Camilot, M., Campbell, C., Carducci, C., Cariappa, R., Carlisle, C., Caruso, U., Cassanello, M., Castilla, Am, Ramos, De, Chakraborty, P., Chandrasekar, R., Ramos, Ac, Cheillan, D., Chien, Yh, Childs, Ta, Chrastina, P., Sica, Yc, de Juan JA, Colandre, Me, Espinoza, Vc, Corso, G., Currier, R., Cyr, D., Czuczy, N., D Apolito, O., Davis, T., de Sain Van der Velden MG, Delgado Pecellin, C., Di Gangi IM, Di Stefano CM, Dotsikas, Y., Downing, M., Downs, Sm, Dy, B., Dymerski, M., Rueda, I., Elvers, B., Eaton, R., Eckerd, Bm, El Mougy, F., Eroh, S., Espada, M., Evans, C., Fawbush, S., Fijolek, Kf, Fisher, L., Franzson, L., Frazier, Dm, Garcia, Lr, Bermejo, Ms, Gavrilov, D., Gerace, R., Giordano, G., Irazabal, Yg, Greed, Lc, Grier, R., Grycki, E., Gu, X., Gulamali Majid, F., Hagar, Af, Han, L., Hannon, Wh, Haslip, C., Hassan, Fa, He, M., Hietala, A., Himstedt, L., Hoffman, Gl, Hoffman, W., Hoggatt, P., Hopkins, Pv, Hougaard, Dm, Hughes, K., Hunt, Pr, Hwu, Wl, Hynes, J., Ibarra González, I., Ingham, Ca, Ivanova, M., Jacox, Wb, John, C., Johnson, Jp, Jónsson, Jj, Karg, E., Kasper, D., Klopper, B., Katakouzinos, D., Khneisser, I., Knoll, D., Kobayashi, H., Koneski, R., Kozich, V., Kouapei, R., Kohlmueller, D., Kremensky, I., giancarlo la marca, Lavochkin, M., Lee, Sy, Lehotay, Dc, Lemes, A., Lepage, J., Lesko, B., Lewis, B., Lim, C., Linard, S., Lindner, M., Lloyd Puryear MA, Lorey, F., Loukas, Yl, Luedtke, J., Maffitt, N., Magee, Jf, Manning, A., Manos, S., Marie, S., Hadachi, Sm, Marquardt, G., Martin, Sj, Matern, D., Mayfield Gibson SK, Mayne, P., Mccallister, Td, Mccann, M., Mcclure, J., Mcgill, Jj, Mckeever, Cd, Mcneilly, B., Morrissey, Ma, Moutsatsou, P., Mulcahy, Ea, Nikoloudis, D., Norgaard Pedersen, B., Oglesbee, D., Oltarzewski, M., Ombrone, D., Ojodu, J., Papakonstantinou, V., Reoyo, Sp, Park, Hd, Pasquali, M., Pasquini, E., Patel, P., Pass, Ka, Peterson, C., Pettersen, Rd, Pitt, Jj, Poh, S., Pollak, A., Porter, C., Poston, Pa, Price, Rw, Queijo, C., Quesada, J., Randell, E., Ranieri, E., Raymond, K., Reddic, Je, Reuben, A., Ricciardi, C., Rinaldo, P., Rivera, Jd, Roberts, A., Rocha, H., Roche, G., Greenberg, Cr, Mellado, Jm, Juan Fita MJ, Ruiz, C., Ruoppolo, M., Rutledge, Sl, Ryu, E., Saban, C., Sahai, I., García Blanco MI, Santiago Borrero, P., Schenone, A., Schoos, R., Schweitzer, B., Scott, P., Seashore, Mr, Seeterlin, Ma, Sesser, De, Sevier, Dw, Shone, Sm, Sinclair, G., Skrinska, Va, Stanley, El, Strovel, Et, Jones, Al, Sunny, S., Takats, Z., Tanyalcin, T., Teofoli, F., Thompson, Jr, Tomashitis, K., Domingos, Mt, Torres, J., Torres, R., Tortorelli, S., Turi, S., Turner, K., Tzanakos, N., Valiente, Ag, Vallance, H., Vela Amieva, M., Vilarinho, L., Döbeln, U., Vincent, Mf, Vorster, Bc, Watson, Ms, Webster, D., Weiss, S., Wilcken, B., Wiley, V., Williams, Sk, Willis, Sa, Woontner, M., Wright, K., Yahyaoui, R., Yamaguchi, S., Yssel, M., Zakowicz, W. M., Mchugh, D, Cameron, Ca, Abdenur, Je, Abdulrahman, M, Adair, O, Al Nuaimi, Sa, Åhlman, H, Allen, Jj, Antonozzi, I, Archer, S, Au, S, Auray Blais, C, Baker, M, Bamforth, F, Beckmann, K, Pino, Gb, Berberich, Sl, Binard, R, Boemer, F, Bonham, J, Breen, Nn, Bryant, Sc, Caggana, M, Caldwell, Sg, Camilot, M, Campbell, C, Carducci, C, Cariappa, R, Carlisle, C, Caruso, U, Cassanello, M, Castilla, Am, Ramos, De, Chakraborty, P, Chandrasekar, R, Ramos, Ac, Cheillan, D, Chien, Yh, Childs, Ta, Chrastina, P, Sica, Yc, de Juan, Ja, Colandre, Me, Espinoza, Vc, Corso, G, Currier, R, Cyr, D, Czuczy, N, D'Apolito, O, Davis, T, de Sain Van der Velden, Mg, Delgado Pecellin, C, Di Gangi, Im, Di Stefano, Cm, Dotsikas, Y, Downing, M, Downs, Sm, Dy, B, Dymerski, M, Rueda, I, Elvers, B, Eaton, R, Eckerd, Bm, El Mougy, F, Eroh, S, Espada, M, Evans, C, Fawbush, S, Fijolek, Kf, Fisher, L, Franzson, L, Frazier, Dm, Garcia, Lr, Bermejo, M, Gavrilov, D, Gerace, R, Giordano, G, Irazabal, Yg, Greed, Lc, Grier, R, Grycki, E, Gu, X, Gulamali Majid, F, Hagar, Af, Han, L, Hannon, Wh, Haslip, C, Hassan, Fa, He, M, Hietala, A, Himstedt, L, Hoffman, Gl, Hoffman, W, Hoggatt, P, Hopkins, Pv, Hougaard, Dm, Hughes, K, Hunt, Pr, Hwu, Wl, Hynes, J, Ibarra González, I, Ingham, Ca, Ivanova, M, Jacox, Wb, John, C, Johnson, Jp, Jónsson, Jj, Karg, E, Kasper, D, Klopper, B, Katakouzinos, D, Khneisser, I, Knoll, D, Kobayashi, H, Koneski, R, Kozich, V, Kouapei, R, Kohlmueller, D, Kremensky, I, la Marca, G, Lavochkin, M, Lee, Sy, Lehotay, Dc, Lemes, A, Lepage, J, Lesko, B, Lewis, B, Lim, C, Linard, S, Lindner, M, Lloyd Puryear, Ma, Lorey, F, Loukas, Yl, Luedtke, J, Maffitt, N, Magee, Jf, Manning, A, Manos, S, Marie, S, Hadachi, Sm, Marquardt, G, Martin, Sj, Matern, D, Mayfield Gibson, Sk, Mayne, P, Mccallister, Td, Mccann, M, Mcclure, J, Mcgill, Jj, Mckeever, Cd, Mcneilly, B, Morrissey, Ma, Moutsatsou, P, Mulcahy, Ea, Nikoloudis, D, Norgaard Pedersen, B, Oglesbee, D, Oltarzewski, M, Ombrone, D, Ojodu, J, Papakonstantinou, V, Reoyo, Sp, Park, Hd, Pasquali, M, Pasquini, E, Patel, P, Pass, Ka, Peterson, C, Pettersen, Rd, Pitt, Jj, Poh, S, Pollak, A, Porter, C, Poston, Pa, Price, Rw, Queijo, C, Quesada, J, Randell, E, Ranieri, E, Raymond, K, Reddic, Je, Reuben, A, Ricciardi, C, Rinaldo, P, Rivera, Jd, Roberts, A, Rocha, H, Roche, G, Greenberg, Cr, Mellado, Jm, Juan Fita, Mj, Ruiz, C, Ruoppolo, Margherita, Rutledge, Sl, Ryu, E, Saban, C, Sahai, I, García Blanco, Mi, Santiago Borrero, P, Schenone, A, Schoos, R, Schweitzer, B, Scott, P, Seashore, Mr, Seeterlin, Ma, Sesser, De, Sevier, Dw, Shone, Sm, Sinclair, G, Skrinska, Va, Stanley, El, Strovel, Et, Jones, Al, Sunny, S, Takats, Z, Tanyalcin, T, Teofoli, F, Thompson, Jr, Tomashitis, K, Domingos, Mt, Torres, J, Torres, R, Tortorelli, S, Turi, S, Turner, K, Tzanakos, N, Valiente, Ag, Vallance, H, Vela Amieva, M, Vilarinho, L, von Döbeln, U, Vincent, Mf, Vorster, Bc, Watson, M, Webster, D, Weiss, S, Wilcken, B, Wiley, V, Williams, Sk, Willis, Sa, Woontner, M, Wright, K, Yahyaoui, R, Yamaguchi, S, Yssel, M, and Zakowicz, W. M.

Subjects
Analyte, Percentile, Pediatrics, medicine.medical_specialty, International Cooperation, tandem mass spectrometry, amino acids, newborn screening, inborn errors of metabolism, acylcarnitines, Tandem mass spectrometry, Sensitivity and Specificity, Neonatal Screening, Metabolic Diseases, Reference Values, Carnitine, Range (statistics), Humans, Medicine, Cutoff, Clinical significance, Genetics (clinical), mass spectrometry, Newborn screening, business.industry, Infant, Newborn, Biochemistry, False positive rate, business, Software, metabolic disorders, newborn screening
Abstract

Purpose: To achieve clinical validation of cutoff values for newborn screening by tandem mass 215 spectrometry through a worldwide collaboration. Methods: Cumulative percentiles of amino 216 acids and acylcarnitines in dried blood spots of approximately 30 million normal newborns and 217 10,615 true positive cases are compared to assign clinical significance, which is achieved when 218 the median of a disease range is either >99%ile or

Published
2011

3. Postanalytical tools improve performance of newborn screening by tandem mass spectrometry.

Author

Hall PL, Marquardt G, McHugh DM, Currier RJ, Tang H, Stoway SD, and Rinaldo P

Subjects
Amino Acids blood, California, Carnitine analogs & derivatives, Carnitine blood, Computational Biology, False Positive Reactions, Female, Humans, Infant, Newborn, Internet, Male, Minnesota, Predictive Value of Tests, Retrospective Studies, Software, Neonatal Screening methods, Tandem Mass Spectrometry methods
Abstract

Purpose: The purpose of this study was to compare performance metrics of postanalytical interpretive tools of the Region 4 Stork collaborative project to the actual outcome based on cutoff values for amino acids and acylcarnitines selected by the California newborn screening program., Methods: This study was a retrospective review of the outcome of 176,186 subjects born in California between 1 January and 30 June 2012. Raw data were uploaded to the Region 4 Stork Web portal as .csv files to calculate tool scores for 48 conditions simultaneously using a previously unpublished functionality, the tool runner. Scores for individual target conditions were deemed informative when equal or greater to the value representing the first percentile rank of known true-positive cases (17,099 cases in total)., Results: In the study period, the actual false-positive rate and positive predictive value were 0.26 and 10%, respectively. Utilization of the Region 4 Stork tools, simple interpretation rules, and second-tier tests could have achieved a false-positive rate as low as 0.02% and a positive predictive value >50% by replacing the cutoff system with Region 4 Stork tools as the primary method for postanalytical interpretation., Conclusion: Region 4 Stork interpretive tools, second-tier tests, and other evidence-based interpretation rules could have reduced false-positive cases by up to 90% in California.

Published
2014
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4. Enhanced interpretation of newborn screening results without analyte cutoff values.

Author

Marquardt G, Currier R, McHugh DM, Gavrilov D, Magera MJ, Matern D, Oglesbee D, Raymond K, Rinaldo P, Smith EH, Tortorelli S, Turgeon CT, Lorey F, Wilcken B, Wiley V, Greed LC, Lewis B, Boemer F, Schoos R, Marie S, Vincent MF, Sica YC, Domingos MT, Al-Thihli K, Sinclair G, Al-Dirbashi OY, Chakraborty P, Dymerski M, Porter C, Manning A, Seashore MR, Quesada J, Reuben A, Chrastina P, Hornik P, Atef Mandour I, Atty Sharaf SA, Bodamer O, Dy B, Torres J, Zori R, Cheillan D, Vianey-Saban C, Ludvigson D, Stembridge A, Bonham J, Downing M, Dotsikas Y, Loukas YL, Papakonstantinou V, Zacharioudakis GS, Baráth Á, Karg E, Franzson L, Jonsson JJ, Breen NN, Lesko BG, Berberich SL, Turner K, Ruoppolo M, Scolamiero E, Antonozzi I, Carducci C, Caruso U, Cassanello M, la Marca G, Pasquini E, Di Gangi IM, Giordano G, Camilot M, Teofoli F, Manos SM, Peterson CK, Mayfield Gibson SK, Sevier DW, Lee SY, Park HD, Khneisser I, Browning P, Gulamali-Majid F, Watson MS, Eaton RB, Sahai I, Ruiz C, Torres R, Seeterlin MA, Stanley EL, Hietala A, McCann M, Campbell C, Hopkins PV, de Sain-Van der Velden MG, Elvers B, Morrissey MA, Sunny S, Knoll D, Webster D, Frazier DM, McClure JD, Sesser DE, Willis SA, Rocha H, Vilarinho L, John C, Lim J, Caldwell SG, Tomashitis K, Castiñeiras Ramos DE, Cocho de Juan JA, Rueda Fernández I, Yahyaoui Macías R, Egea-Mellado JM, González-Gallego I, Delgado Pecellin C, García-Valdecasas Bermejo MS, Chien YH, Hwu WL, Childs T, McKeever CD, Tanyalcin T, Abdulrahman M, Queijo C, Lemes A, Davis T, Hoffman W, Baker M, and Hoffman GL

Subjects
Computational Biology, Data Interpretation, Statistical, Databases, Factual, Diagnosis, Differential, False Positive Reactions, Humans, Infant, Newborn, International Cooperation, Metabolome, Minnesota, Multivariate Analysis, Pattern Recognition, Automated, Predictive Value of Tests, Retrospective Studies, Neonatal Screening methods, Software, Tandem Mass Spectrometry methods
Abstract

Purpose: To improve quality of newborn screening by tandem mass spectrometry with a novel approach made possible by the collaboration of 154 laboratories in 49 countries., Methods: A database of 767,464 results from 12,721 cases affected with 60 conditions was used to build multivariate pattern recognition software that generates tools integrating multiple clinically significant results into a single score. This score is determined by the overlap between normal and disease ranges, penetration within the disease range, differences between conditions, and weighted correction factors., Results: Ninety tools target either a single condition or the differential diagnosis between multiple conditions. Scores are expressed as the percentile rank among all cases with the same condition and are compared to interpretation guidelines. Retrospective evaluation of past cases suggests that these tools could have avoided at least half of 279 false-positive outcomes caused by carrier status for fatty-acid oxidation disorders and could have prevented 88% of known false-negative events., Conclusion: Application of this computational approach to raw data is independent from single analyte cutoff values. In Minnesota, the tools have been a major contributing factor to the sustained achievement of a false-positive rate below 0.1% and a positive predictive value above 60%.

Published
2012
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5. Functional analysis of monocyte-macrophages derived from nonadherent cord blood progenitor cells: correlation with the ontogeny of cell surface proteins.

Author

Santiago-Schwarz F, McHugh DM, and Fleit HB

Subjects
Cell Differentiation, Fetal Blood cytology, Humans, In Vitro Techniques, Infant, Newborn, Lymphocyte Culture Test, Mixed, Macrophages cytology, Monocytes cytology, Phagocytosis, Stem Cells metabolism, Macrophages physiology, Membrane Proteins biosynthesis, Monocytes physiology, Stem Cells cytology
Abstract

In this study we examine some of the phenotypic and functional characteristics that accompany the differentiation of monocyte-macrophages from nonadherent precursors present in cord blood. Class II major histocompatibility complex (MHC) molecules identified by monoclonal antibody (mAb) L243 were the earliest monocyte-macrophage-associated antigens to be expressed. CD14 molecules, identified by mAb MO.2, and the transferrin receptor, identified by mAb OKT9, increased linearly over the 21-day culture period. In contrast, Fc gamma R were not expressed on these cells until 14 days of culture. Fc gamma RI was present on approximately 80% of the cells, whereas Fc gamma RII and Fc gamma RIII were present on 30% and 20% of the cells, respectively. Functional activity of the nonadherent cell-derived monocyte-macrophages paralleled the phenotypic maturation of these cells. The capacity to stimulate a mixed leukocyte reaction paralleled the expression of class II MHC molecules. Similarly, the capacity to phagocytose Escherichia coli and Staphylococcus aureus paralleled the appearance of CR3. Indeed, phagocytosis of these organisms was partially blocked by mAb OKM-1. These studies demonstrate that monocyte-macrophages derived from cord blood nonadherent mononuclear cells are a useful population with which to characterize human macrophage differentiation and functional and phenotypic heterogeneity.

Published
1989
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