Early Newborn Metabolic Patterning and Sudden Infant Death Syndrome
Oltman SP, Rogers EE, Baer RJ, Amsalu R, Bandoli G, Chambers CD, Cho H, Dagle JM, Karvonen KL, Kingsmore SF, McKenzie-Sampson S, Momany A, Ontiveros E, Protopsaltis LD, Rand L, Kobayashi ES, Steurer MA, Ryckman KK, Jelliffe-Pawlowski LL. Early Newborn Metabolic Patterning and Sudden Infant Death Syndrome. JAMA Pediatr. 2024 Nov 1
Abstract
Importance: Sudden infant death syndrome (SIDS) is a major cause of infant death in the US. Previous research suggests that inborn errors of metabolism may contribute to SIDS, yet the relationship between SIDS and biomarkers of metabolism remains unclear.
Objective: To evaluate and model the association between routinely measured newborn metabolic markers and SIDS in combination with established risk factors for SIDS.
Design, setting, and participants: This was a case-control study nested within a retrospective cohort using data from the California Office of Statewide Health Planning and Development and the California Department of Public Health. The study population included infants born in California between 2005 and 2011 with full metabolic data collected as part of routine newborn screening (NBS). SIDS cases were matched to controls at a ratio of 1:4 by gestational age and birth weight z score. Matched data were split into training (2/3) and testing (1/3) subsets. Data were analyzed from January 2005 to December 2011.
Exposures: Metabolites measured by NBS and established risk factors for SIDS.
Main outcomes and measures: The primary outcome was SIDS. Logistic regression was used to evaluate the association between metabolic markers combined with known risk factors and SIDS.
Results: Of 2 276 578 eligible infants, 354 SIDS (0.016%) cases (mean [SD] gestational age, 38.3 [2.3] weeks; 220 male [62.1%]) and 1416 controls (mean [SD] gestational age, 38.3 [2.3] weeks; 723 male [51.1%]) were identified. In multivariable analysis, 14 NBS metabolites were significantly associated with SIDS in a univariate analysis: 17-hydroxyprogesterone, alanine, methionine, proline, tyrosine, valine, free carnitine, acetyl-L-carnitine, malonyl carnitine, glutarylcarnitine, lauroyl-L-carnitine, dodecenoylcarnitine, 3-hydroxytetradecanoylcarnitine, and linoleoylcarnitine. The area under the receiver operating characteristic curve for a 14-marker SIDS model, which included 8 metabolites, was 0.75 (95% CI, 0.72-0.79) in the training set and was 0.70 (95% CI, 0.65-0.76) in the test set. Of 32 infants in the test set with model-predicted probability greater than 0.5, a total of 20 (62.5%) had SIDS. These infants had 14.4 times the odds (95% CI, 6.0-34.5) of having SIDS compared with those with a model-predicted probability less than 0.1.
Conclusions and relevance: Results from this case-control study showed an association between aberrant metabolic analytes at birth and SIDS. These findings suggest that we may be able to identify infants at increased risk for SIDS soon after birth, which could inform further mechanistic research and clinical efforts focused on monitoring and prevention.
PMID: 39250160 | DOI: 10.1001/jamapediatrics.2024.3033
November 1, 2024
Infant Mortality
Early Newborn Metabolic Patterning and Sudden Infant Death Syndrome
Oltman SP, Rogers EE, Baer RJ, Amsalu R, Bandoli G, Chambers CD, Cho H, Dagle JM, Karvonen KL, Kingsmore SF, McKenzie-Sampson S, Momany A, Ontiveros E, Protopsaltis LD, Rand L, Kobayashi ES, Steurer MA, Ryckman KK, Jelliffe-Pawlowski LL. Early Newborn Metabolic Patterning and Sudden Infant Death Syndrome. JAMA Pediatr. 2024 Sep 9:e243033. doi: 10.1001/jamapediatrics.2024.3033.
JAMA Pediatr. 2024 Sep 9. doi: 10.1001/jamapediatrics.2024.3033. Online ahead of print.
ABSTRACT
IMPORTANCE: Sudden infant death syndrome (SIDS) is a major cause of infant death in the US. Previous research suggests that inborn errors of metabolism may contribute to SIDS, yet the relationship between SIDS and biomarkers of metabolism remains unclear.
OBJECTIVE: To evaluate and model the association between routinely measured newborn metabolic markers and SIDS in combination with established risk factors for SIDS.
DESIGN, SETTING, AND PARTICIPANTS: This was a case-control study nested within a retrospective cohort using data from the California Office of Statewide Health Planning and Development and the California Department of Public Health. The study population included infants born in California between 2005 and 2011 with full metabolic data collected as part of routine newborn screening (NBS). SIDS cases were matched to controls at a ratio of 1:4 by gestational age and birth weight z score. Matched data were split into training (2/3) and testing (1/3) subsets. Data were analyzed from January 2005 to December 2011.
EXPOSURES: Metabolites measured by NBS and established risk factors for SIDS.
MAIN OUTCOMES AND MEASURES: The primary outcome was SIDS. Logistic regression was used to evaluate the association between metabolic markers combined with known risk factors and SIDS.
RESULTS: Of 2 276 578 eligible infants, 354 SIDS (0.016%) cases (mean [SD] gestational age, 38.3 [2.3] weeks; 220 male [62.1%]) and 1416 controls (mean [SD] gestational age, 38.3 [2.3] weeks; 723 male [51.1%]) were identified. In multivariable analysis, 14 NBS metabolites were significantly associated with SIDS in a univariate analysis: 17-hydroxyprogesterone, alanine, methionine, proline, tyrosine, valine, free carnitine, acetyl-L-carnitine, malonyl carnitine, glutarylcarnitine, lauroyl-L-carnitine, dodecenoylcarnitine, 3-hydroxytetradecanoylcarnitine, and linoleoylcarnitine. The area under the receiver operating characteristic curve for a 14-marker SIDS model, which included 8 metabolites, was 0.75 (95% CI, 0.72-0.79) in the training set and was 0.70 (95% CI, 0.65-0.76) in the test set. Of 32 infants in the test set with model-predicted probability greater than 0.5, a total of 20 (62.5%) had SIDS. These infants had 14.4 times the odds (95% CI, 6.0-34.5) of having SIDS compared with those with a model-predicted probability less than 0.1.
CONCLUSIONS AND RELEVANCE: Results from this case-control study showed an association between aberrant metabolic analytes at birth and SIDS. These findings suggest that we may be able to identify infants at increased risk for SIDS soon after birth, which could inform further mechanistic research and clinical efforts focused on monitoring and prevention.
PMID:
39250160 | DOI:
10.1001/jamapediatrics.2024.3033
September 10, 2024
Infant Mortality
Response to Grosse et al
Kingsmore SF, Smith LD, Kunard CM, Bainbridge M, Batalov S, Benson W, Blincow E, Caylor S, Chambers C, Del Angel G, Dimmock DP, Ding Y, Ellsworth K, Feigenbaum A, Frise E, Green RC, Guidugli L, Hall KP, Hansen C, Hobbs CA, Kahn SD, Kiel M, Van Der Kraan L, Krilow C, Kwon YH, Madhavrao L, Le J, Lefebvre S, Mardach R, Mowrey WR, Oh D, Owen MJ, Powley G, Scharer G, Shelnutt S, Tokita M, Mehtalia SS, Oriol A, Papadopoulos S, Perry J, Rosales E, Sanford E, Schwartz S, Tran D, Reese MG, Wright M, Veeraraghavan N, Wigby K, Willis MJ, Wolen AR, Defay T.
June 1, 2023
Infant MortalityNewborn Screening
Reclassification of the Etiology of Infant Mortality With Whole-Genome Sequencing
Owen MJ, Wright MS, Batalov S, Kwon Y, Ding Y, Chau KK, Chowdhury S, Sweeney NM, Kiernan E, Richardson A, Batton E, Baer RJ, Bandoli G, Gleeson JG, Bainbridge M, Chambers CD, Kingsmore SF.
JAMA Netw Open. 2023 Feb 1;6(2):e2254069. doi: 10.1001/jamanetworkopen.2022.54069.
ABSTRACT
IMPORTANCE: Understanding the causes of infant mortality shapes public health, surveillance, and research investments. However, the association of single-locus (mendelian) genetic diseases with infant mortality is poorly understood.
OBJECTIVE: To determine the association of genetic diseases with infant mortality.
DESIGN, SETTING, AND PARTICIPANTS: This cohort study was conducted at a large pediatric hospital system in San Diego County (California) and included 546 infants (112 infant deaths [20.5%] and 434 infants [79.5%] with acute illness who survived; age, 0 to 1 year) who underwent diagnostic whole-genome sequencing (WGS) between January 2015 and December 2020. Data analysis was conducted between 2015 and 2022.
EXPOSURE: Infants underwent WGS either premortem or postmortem with semiautomated phenotyping and diagnostic interpretation.
MAIN OUTCOMES AND MEASURES: Proportion of infant deaths associated with single-locus genetic diseases.
RESULTS: Among 112 infant deaths (54 girls [48.2%]; 8 [7.1%] African American or Black, 1 [0.9%] American Indian or Alaska Native, 8 [7.1%] Asian, 48 [42.9%] Hispanic, 1 [0.9%] Native Hawaiian or Pacific Islander, and 34 [30.4%] White infants) in San Diego County between 2015 and 2020, single-locus genetic diseases were the most common identifiable cause of infant mortality, with 47 genetic diseases identified in 46 infants (41%). Thirty-nine (83%) of these diseases had been previously reported to be associated with childhood mortality. Twenty-eight death certificates (62%) for 45 of the 46 infants did not mention a genetic etiology. Treatments that can improve outcomes were available for 14 (30%) of the genetic diseases. In 5 of 7 infants in whom genetic diseases were identified postmortem, death might have been avoided had rapid, diagnostic WGS been performed at time of symptom onset or regional intensive care unit admission.
CONCLUSIONS AND RELEVANCE: In this cohort study of 112 infant deaths, the association of genetic diseases with infant mortality was higher than previously recognized. Strategies to increase neonatal diagnosis of genetic diseases and immediately implement treatment may decrease infant mortality. Additional study is required to explore the generalizability of these findings and measure reduction in infant mortality.
PMID:
36757698 DOI:
10.1001/jamanetworkopen.2022.54069
February 9, 2023
Infant Mortality
The Role of Genome Sequencing in Neonatal Intensive Care Units
Kingsmore SF, Cole FS.
Annu Rev Genomics Hum Genet. 2022 Jun 8. doi: 10.1146/annurev-genom-120921-103442. Online ahead of print.
ABSTRACT
Genetic diseases disrupt the functionality of an infant’s genome during fetal-neonatal adaptation and represent a leading cause of neonatal and infant mortality in the United States. Due to disease acuity, gene locus and allelic heterogeneity, and overlapping and diverse clinical phenotypes, diagnostic genome sequencing in neonatal intensive care units has required the development of methods to shorten turnaround times and improve genomic interpretation. From 2012 to 2021, 31 clinical studies documented the diagnostic and clinical utility of first-tier rapid or ultrarapid whole-genome sequencing through cost-effective identification of pathogenic genomic variants that change medical management, suggest new therapeutic strategies, and refine prognoses. Genomic diagnosis also permits prediction of reproductive recurrence risk for parents and surviving probands. Using implementation science and quality improvement, deployment of a genomic learning healthcare system will contribute to a reduction of neonatal and infant mortality through the integration of genome sequencing into best-practice neonatal intensive care. Expected final online publication date for the Annual Review of Genomics and Human Genetics, Volume 23 is October 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
PMID:
35676073 | DOI:
10.1146/annurev-genom-120921-103442
June 8, 2022
Infant MortalityRPM for NICU and PICUrWGSrWGS Efficacy
Maternal, infant, and environmental risk factors for sudden unexpected infant deaths: results from a large, administrative cohort
Bandoli G, Baer RJ, Owen M, Kiernan E, Jelliffe-Pawlowski L, Kingsmore S, Chambers CD
J Matern Fetal Neonatal Med. 2021 Dec 1:1-8. doi: 10.1080/14767058.2021.2008899. Online ahead of print.
ABSTRACT
OBJECTIVES: Many studies of sudden unexpected infant death (SUID) have focused on individual domains of risk factors (maternal, infant, and environmental), resulting in limited capture of this multifactorial outcome. The objective of this study was to examine the geographic distribution of SUID in San Diego County, and assess maternal, infant, and environmental risk factors from a large, administrative research platform.
STUDY DESIGN: Births in California between 2005 and 2017 were linked to hospital discharge summaries and death files. From this retrospective birth cohort, cases of SUID were identified from infant death files in San Diego County. We estimated adjusted hazard ratios (aHRs) for infant, maternal, and environmental factors and SUID in multivariable Cox regression analysis. Models were adjusted for maternal sociodemographic characteristics and prenatal nicotine exposure.
RESULTS: There were 211 (44/100,000 live births; absolute risk 0.04%) infants with a SUID among 484,905 live births. There was heterogeneity in geographic distribution of cases. Multiparity (0.05%; aHR 1.4, 95% confidence interval (CI) 1.1, 1.9), maternal depression (0.11%; aHR 1.8, 95% CI 1.0, 3.4), substance-related diagnoses (0.27%; aHR 2.3, 95% CI 1.3, 3.8), cannabis-related diagnosis (0.35%; aHR 2.7, 95% CI 1.5, 5.0), prenatal nicotine use (0.23%; aHR 2.5, 95% CI 1.5, 4.2), preexisting hypertension (0.11%; aHR 2.3, 95% CI 1.2, 4.3), preterm delivery (0.09%; aHR 2.1, 95% CI 1.5, 3.0), infant with a major malformation (0.09%; aHR 2.0, 95% CI 1.1, 3.6), respiratory distress syndrome (0.12%; aHR 2.6, 95% CI 1.5, 4.6), and select environmental factors were all associated with SUID.
CONCLUSIONS: Multiple risk factors were confirmed and expanded upon, and the geographic distribution for SUID in San Diego County was identified. Through this approach, prevention efforts can be targeted to geographies that would benefit the most.
PMID:
34852708 | DOI:
10.1080/14767058.2021.2008899
December 2, 2021
Infant Mortality
Uncertain, Not Unimportant: Callosal Dysgenesis and Variants of Uncertain Significance in ROBO1
Woodring TS, Mirza MH, Benavides V, Ellsworth KA, Wright MS, Javed MJ, Ramiro S.
Pediatrics. 2021 Jun 30:e2020019000. doi: 10.1542/peds.2020-019000. Online ahead of print.
ABSTRACT
Congenital anomalies affect 3% to 5% of births and remain the leading cause of infant death in the United States. As whole exome and genome sequencing are increasingly used to diagnose underlying genetic disease, the patient’s clinical presentation remains the most important context for interpreting sequencing results, including frequently reported variants of uncertain significance (VUS). Classification of a variant as VUS acknowledges limits on evidence to establish whether a variant can be classified as pathogenic or benign according to the American College of Medical Genetics guidelines. Importantly, the VUS designation reflects limits on the breadth of evidence linking the genetic variant to a disease. However, available evidence, although limited, may be surprisingly relevant in an individual patient’s case. Accordingly, a VUS result should be approached neither as nondiagnostic genetic result nor as automatically “uncertain” in its potential to guide clinical decision-making. In this article, we discuss a case of an infant born at 29 weeks 4 days without a corpus callosum, whose whole genome sequencing yielded compound heterozygous variants both classified as VUS in ROBO1, a gene encoding for a receptor involved in a canonical signaling mechanism that guides axons across midline. Approaching the VUS result as potentially pathogenic, we found the infant ultimately had pituitary dysfunction and renal anomalies consistent with other reported ROBO1 variants and basic science literature. Accordingly, we highlight resources for variant interpretation available to clinicians to evaluate VUS results, particularly as they inform the diagnosis of individually rare but collectively common rare diseases.
PMID:
34193621 | DOI:
10.1542/peds.2020-019000
June 30, 2021
Infant Mortality
Postmortem whole-genome sequencing on a dried blood spot identifies a novel homozygous SUOX variant causing isolated sulfite oxidase deficiency
Owen MJ, Lenberg J, Feigenbaum A, Gold J, Chau K, Bezares-Orin Z, Ding Y, Chowdhury S, Kingsmore SF.
Cold Spring Harb Mol Case Stud. 2021 Jun 11;7(3):a006091. doi: 10.1101/mcs.a006091. Print 2021 Jun.
ABSTRACT
Rapid whole-genome sequencing (rWGS) has shown that genetic diseases are a common cause of infant mortality in neonatal intensive care units. Dried blood spots collected for newborn screening allow investigation of causes of infant mortality that were not diagnosed during life. Here, we present a neonate who developed seizures and encephalopathy on the third day of life that was refractory to antiepileptic medications. The patient died on day of life 16 after progressive respiratory failure and sepsis. The parents had lost two prior children after similar presentations, neither of whom had a definitive diagnosis. Postmortem rWGS of a dried blood spot identified a pathogenic homozygous frameshift variant in the SUOX gene associated with isolated sulfite oxidase deficiency (c.1390_1391del, p.Leu464GlyfsTer10). This case highlights that early, accurate molecular diagnosis has the potential to influence prenatal counseling and guide management in rare, genetic disorders and has added importance in cases of a strong family history and risk factors such as consanguinity.
PMID:
34117075 | DOI:
10.1101/mcs.a006091
June 14, 2021
Infant MortalityrWGS
Measurement of genetic diseases as a cause of mortality in infants receiving whole genome sequencing
Kingsmore SF, Henderson A, Owen MJ, Clark MM, Hansen C, Dimmock D, Chambers CD, Jeliffe-Pawlowski LL, Hobbs C.
NPJ Genom Med. 2020 Nov 2;5:49. doi: 10.1038/s41525-020-00155-8. eCollection 2020.
ABSTRACT
Understanding causes of infant mortality shapes public health policy and prioritizes diseases for investments in surveillance, intervention and medical research. Rapid genomic sequencing has created a novel opportunity to decrease infant mortality associated with treatable genetic diseases. Herein, we sought to measure the contribution of genetic diseases to mortality among infants by secondary analysis of babies enrolled in two clinical studies and a systematic literature review. Among 312 infants who had been admitted to an ICU at Rady Children’s Hospital between November 2015 and September 2018 and received rapid genomic sequencing, 30 (10%) died in infancy. Ten (33%) of the infants who died were diagnosed with 11 genetic diseases. The San Diego Study of Outcomes in Mothers and Infants platform identified differences between in-hospital and out-of-hospital causes of infant death. Similarly, in six published studies, 195 (21%) of 918 infant deaths were associated with genetic diseases by genomic sequencing. In 195 infant deaths associated with genetic diseases, locus heterogeneity was 70%. Treatment guidelines existed for 70% of the genetic diseases diagnosed, suggesting that rapid genomic sequencing has substantial potential to decrease infant mortality among infants in ICUs. Further studies are needed in larger, comprehensive, unbiased patient sets to determine the generalizability of these findings.
PMID:33154820 | PMC:PMC7608690 | DOI:10.1038/s41525-020-00155-8
November 6, 2020
Infant Mortality
Mortality in a neonate with molybdenum cofactor deficiency illustrates the need for a comprehensive rapid precision medicine system
Kingsmore SF, Ramchandar N, James K, Niemi AK, Feigenbaum A, Ding Y, Benson W, Hobbs C, Nahas S, Chowdhury S, Dimmock D.
Cold Spring Harb Mol Case Stud. 2020 Feb 3;6(1):a004705. doi: 10.1101/mcs.a004705. Print 2020 Feb.
ABSTRACT
Neonatal encephalopathy with seizures is a presentation in which rapid whole-genome sequencing (rWGS) has shown clinical utility and improved outcomes. We report a neonate who presented on the third day of life with seizures refractory to antiepileptic medications and neurologic and computerized tomographic findings consistent with severe generalized brain swelling. rWGS revealed compound heterozygous variants in the molybdenum cofactor synthesis gene, type 1A (
MOCS1 c.*7 + 5G > A and c.377G > A); a provisional diagnosis of molybdenum cofactor deficiency on day of life 4. An emergency investigational new drug application for intravenous replacement of the MOCS1 product, cyclic pyranopterin monophosphate, was considered, but felt unsuitable in light of the severity of disease and delay in the start of treatment. The patient died on day of life 9 despite having a precise molecular diagnosis within the first week of life. This case illustrates that an rWGS-based molecular diagnosis within the first week of life may be insufficient to improve outcomes. However, it did inform clinical decision-making with regard to resuscitation and predicted long-term outcome. We suggest that to achieve optimal reductions in morbidity and mortality, rWGS must be implemented within a comprehensive rapid precision medicine system (CRPM). Akin to newborn screening (NBS), CRPM will have onboarding, diagnosis, and precision medicine implementation components developed in response to patient and parental needs. Education of health-care providers in a learning model in which ongoing data analyses informs system improvement will be essential for optimal effectiveness of CRPM.
PMID:
32014857 | PMC:
PMC6996516 | DOI:
10.1101/mcs.a004705
February 5, 2020
Infant MortalityrWGS
