Abstract
The medical and neurodevelopmental characteristics of 14 children with short-chain acyl-CoA dehydrogenase deficiency (SCADD) are described. Eight were detected as neonates by newborn screening. Three children diagnosed on the basis of clinical symptoms had normal newborn screening results while 3 were born in states that did not screen for SCADD. Treatment included frequent feedings and a low fat diet. All children identified by newborn screening demonstrated medical and neuropsychological development within the normative range on follow-up, although one child had a relative weakness in the motor area and another child exhibited mild speech delay. Of the 3 clinically identified children with newborn screening results below the cut-off value, 2 were healthy and performed within the normal range on cognitive and motor tests at follow-up. Four clinically identified children with SCADD experienced persistent symptoms and/or developmental delay. However, in each of these cases, there were supplementary or alternative explanations for medical and neuropsychological deficits. Results indicated no genotype-phenotype correlations. These findings suggest that SCADD might be benign and the clinical symptoms ascribed to SCADD reflective of ascertainment bias or that early identification and treatment prevented complications that may have occurred due to interaction between genetic susceptibility and other genetic factors or environmental stressors.
Keywords: Potential Subject Index Entries: short-chain acyl-CoA dehydrogenase deficiency (SCADD), newborn screening, psychological follow-up
Short-chain acyl-CoA dehydrogenase deficiency (ec 1.3.99.2) [1], catalyzes the first step in mitochondrial short-chain fatty acid oxidation. Its deficiency (SCADD; OMIM #201470) is an autosomal recessive condition that was originally described in two neonates who presented with metabolic acidosis and excretion of ethylmalonic acid. One of the babies recovered and demonstrated normal growth and development. The other baby became profoundly ill and died on day five of life [2]. Confusion about the SCADD clinical phenotype has persisted to this day. In addition, the frequency of SCADD is unknown, but results from newborn screening suggest frequencies varying between 1:33,000, using a cut-off for butyrylcarnitine (C4) of 1.9 μmol/L, [3] and 1:340,000 (cut-off not available) [4].
The neonatal features of SCADD reported in clinically ascertained infants have included a broad range of symptoms, such as feeding difficulties [2], hypotonia [5], lethargy [6], hypoglycemia [7, 8, 9, 10], dysmorphic features [7, 9], brain malformations with infantile spasms [11] and death [12]. During later infancy and childhood, reported features have included failure to thrive [5, 13], developmental delay [7, 10, 13], seizures [7, 8, 10, 14, 15], hepatomegaly and jaundice [16], and optic atrophy [17]. The biochemical hallmarks are elevated levels of butyrylcarnitine (C4) as detected by acylcarnitine analysis and urinary excretion of ethylmalonic acid (EMA) [18]. Newborn screening using tandem mass spectrometry (MS/MS) has led to the identification of many newborns with the biochemical phenotype of SCADD and with genotypes affecting SCAD activity. However, in contrast to infants who have come to attention clinically, these infants have been largely asymptomatic in the newborn period [19]. In an unpublished survey by one of the authors (HLL), 16 metabolic centers reported on 44 cases of SCADD identified in newborn screening. Symptoms, including recurrent episodes of transient hypotonia and mild hypoglycemia, were noted in only 5 cases. Follow-up of 12 newborn screened patients ranging from several weeks to 4 years revealed only one child with speech delay, and that child had a strong family history for speech delay [20]. Five other newborn screened cases have been reported, of whom 4 were symptomatic, including low IQ [7], seizures and hypoglycemia [8, 9]. Varying experiences such as these have led to considerable debate on the clinical significance of the disorder [10, 21, 22].
We studied 14 cases of SCADD, diagnosed since the introduction of acylcarnitine analysis by MS/MS into the newborn screening program in Massachusetts in February, 1999. Eight of these cases were detected by newborn screening. Subjects were enrolled 6 or more months after their diagnosis was confirmed and examined prospectively. We are reporting the medical and neurodevelopmental status as well as the biochemical and molecular characteristics in these 14 children.
METHODS
Newborn screened children were detected on the basis of elevated butyrylcarnitine (C4) levels of 1.06 μmol/L or greater by acylcarnitine analysis [3]. The diagnosis was confirmed by the finding of elevated plasma butyrylcarnitine and increased excretion of ethylmalonic acid (EMA) and methylsuccinic acid in urine [23]. Additional confirmatory procedures included fibroblast metabolic probing studies [24] and molecular genetic analysis of the SCAD gene [7]…
The patients were followed in the Metabolic Clinic at Children’s Hospital, Boston and included in a study to assess expanded newborn screening [25]. Written informed consent was obtained at the time of enrollment in accordance with human studies approval. The children were evaluated at approximately 6 months after diagnosis (Time 1) and then 1 year later (Time 2).
Medical records were obtained from the metabolic center and primary health care providers as well as from any hospitals/centers where care was provided (e.g., birth hospitals, emergency rooms, laboratories). Infants and children received a medical examination with particular attention to medical complications related to the disorder. The Bayley Scales of Infant Development- 2nd Edition [26] or the Stanford-Binet Intelligence Scale, 4th Edition [27] were used to measure the child’s cognitive functioning. The Bayley Mental and Motor Scales were administered through age 3 years, and thereafter, the Stanford-Binet was used. Performance on the Bayley was characterized by the Mental Development Index (MDI) and the Psychomotor Development Index (PDI) (mean = 100; standard deviation = 15). Overall performance on the Stanford Binet was characterized by the Test Composite (mean = 100, standard deviation = 15). The Vineland Adaptive Behavior Scale (VABS) was administered to parents to measure child adaptation in various domains (communication, daily living, social, and motor skills) and to obtain an Adaptive Behavior Composite score (mean = 100, standard deviation = 15) [28].
RESULTS
Medical findings in the newborn screened group (Table 1)
Table 1.
Case | Gender | Age Diagnosed | Clinical Symptoms | Birth/ Pregnancy Complications | # of Hospitalizations | Treatment |
---|---|---|---|---|---|---|
Newborn Screened | ||||||
Case 1 | M | 9 days | Hypoglycemia, hypotonia, jaundice | 37 weeks C-section IUGR Maternal hypertension |
0 | Frequent feeding and Glucose monitoring (during illness) |
Case 2 | F | 19 days | None | 40 weeks | 0 | Frequent feeding and Glucose monitoring (during illness) |
Case 3 | F | 10 days | None | 41 weeks C-section Maternal Bradycardia, Fetal distress |
0 | Frequent feeding and Glucose monitoring (during illness) |
Case 4 | F | 10 days | Recurrent diarrhea, vomiting | 36 weeks Cerclage procedure Pre-eclampsia |
0 | Frequent feeding Glucose monitoring (during illness) |
Case 5 | F | 9 months | Recurrent vomiting | 40 weeks C-section Breech |
0 | Low fat diet*
Frequent feeding and Glucose monitoring (during illness) |
Case 6 | F | 21 days | Jaundice | 39 weeks ABO incompatibility Mother diagnosed with MS |
0 | Low fat diet Frequent feedings Glucose monitoring |
Case 7 | F | 5 days | Mild jaundice, vomiting | 37 weeks | 0 | Frequent feeding and Glucose monitoring (during illness) |
Case 8 | F | 27 days | None | 40 weeks | 2 | Low fat diet Frequent feeding(during illness) Glucose monitoring |
Identified because of Clinical Symptoms | ||||||
Case 9 | M | 7 months | Hypoglycemia, feeding problems, lethargy | 40 weeks IUI pregnancy C-section Breech |
1 | Low fat diet Frequent feedings Glucose monitoring |
Case 10 | M | 17 months | developmental delays, recurrent vomiting, autism spectrum symptoms | 40 weeks Fetal bradycardia, Hypotonia, feeding problems, |
6 | Low fat diet Frequent feeding Glucose monitoring Carnitine |
Case 11 | M | 37 months | Hypoglycemia, lethargy, mild jaundice | 40 weeks Pre-eclampsia |
2 | Low fat diet Frequent feeding Glucose monitoring |
Case 12 | M | 38 months | Hypoglycemia, hypotonia, lethargy, strabismus | 36 weeks Maternal toxemia & mild HELLP Syndrome Fraternal twin |
3 | Low fat diet Frequent feeding Glucose monitoring Carnitine |
Case 13 | M | 61 months | Developmental delay, microcephaly, failure to thrive, seizures | 40 weeks Shoulder dystocia Perinatal asphyxia |
5 | Low fat diet Carnitine |
Case 14 | F | 17 months | Hypotonia, developmental delays | 31 weeks IVF pregnancy – triplets C-section Significant IUGR Mild respiratory distress syndrome |
5 | Low fat diet Frequent feeding Carnitine Glucose monitoring |
Low fat diet = 30% of calories from fat
IUI = intrauterine insemination
HELLP = Hemolysis, Elevated Liver enzymes, Low Platelet count
IVF = in vitro fertilization
IUGR = Intrauterine Growth Retardation
Eight children (7 females, 1 male) were diagnosed with SCADD by newborn screening.
Three of these children experienced prenatal or neonatal complications (cases 1, 4, 6) including one instance each of intrauterine growth retardation (IUGR), pre-term birth and ABO incompatibility. Three children (cases 1, 3, 5) were delivered via cesarean section due to minor fetal distress or breech presentation. There were maternal complications in three cases (cases 1, 3, 4), including one instance each of pre-eclampsia, maternal hypertension and maternal bradycardia.
Children in the newborn screened group were identified shortly after birth and the diagnosis was confirmed between 5 and 27 days, except for one child for whom DNA confirmation was delayed until age 9 months. All children began medical monitoring once they were identified with an abnormal newborn screening result. Three children in the newborn screened group had no clinical symptoms and three children (cases 1, 4, 7) had mild nonspecific clinical symptoms during the first few days and weeks after birth, including recurrent vomiting, recurrent diarrhea, hypoglycemia (with poor feeding and requiring a glucose drip until age 2 days) and hypotonia. Two additional children (cases 5 and 6) were noted to have jaundice and vomiting. Medical notes indicated that parents of three children were advised to feed the children a low fat diet (30% of calories from fat) and all children were to have frequent feedings and glucose levels monitored, especially during illnesses. None were found to be carnitine deficient and therefore, none were treated with carnitine supplements. Riboflavin supplements were not prescribed. One child had been hospitalized twice (case 8), in accordance with the SCADD emergency protocol (http://www.childrenshospital.org/newenglandconsortium/NBS/SCADD.html; last accessed 5/19/2008), for gastroenteritis and dehydration at eight months and for emesis at 9 months of age.
Medical findings in the clinically identified group (Table 1)
Six children (1 female, 5 males) were diagnosed as a result of laboratory work-up prompted by their clinical presentation. All these children experienced fetal or delivery complications, including two with premature births (cases 12, 14), and one child each with bradycardia (case 10), jaundice (case 11), perinatal asphyxia (case 13) and mild respiratory distress syndrome (case 14). Two children were delivered via cesarean section (cases 9, 14). Of the six mothers, two experienced complications during pregnancy, including pre-eclampsia (case 11) and HELLP Syndrome (hemolysis, elevated liver enzyme levels and low platelet count) (case 12). There were two cases of fertility-assisted pregnancies (cases 9, 14).
Children in the clinically identified group were diagnosed between 7 and 61 months. The significant clinical problems included, developmental delay, hypotonia, failure to thrive, seizures and feeding problems. Hypoglycemia was reported in medical records in 3 cases (with recorded levels hovering around the control range of < 2.6 mmol/L). Case 9 had blood glucose levels of 3.0 and 3.5 mmol/L within the first two weeks of life when he was feeding poorly, but was not noted to be hypoglycemic since the neonatal period. Case 11 had recurrent glucose levels around 2.2 mmol/L, accompanied by fever. His symptom was lethargy. Case 12, had recurrent hypoglycemia reported when he had a urinary tract infection or was otherwise sick. His symptoms were fatigue and recurrent morning lethargy. His recorded glucose levels were 2.8, 3.0, and 3.3 mmol/L, with “recurrent hypoglycemia” annotated by the physician.
From this group, all had been hospitalized at least once prior to diagnosis (range 1–6 times). In addition to a low fat diet, frequent feedings and glucose monitoring, four of the most seriously delayed children in this group were treated with carnitine supplements, in hopes that the treatment might be therapeutic, despite normal carnitine levels (cases 10, 12, 13, 14). One child (case 13) was also given riboflavin.
Laboratory findings in the newborn screened group (Table 2)
Table 2.
Case | Acylcarnitine C4 Labs Normal < 1.06 μmol/L | Ethylmalonic Acid Labs Normal = .5–20.20 μg/mg creatinine | Genotype Allele 1 | Genotype Allele 2 |
---|---|---|---|---|
Newborn Screened | ||||
Case 1 | 2.96 NBS 2.51 Repeat |
247.00 265.00 |
505A>C 625G>A |
505A>C 625G>A |
Case 2 | 2.0 NBS 1.77 Repeat 2.04 at follow-up |
330.93 | 319C>T | 319C>T |
Case 3 | 2.83 NBS 3.14 Repeat |
67.84 | 529T>C | 529T>C |
Case 4 | 2.6 NBS 2.33 Repeat |
249.17 | 319C>T | 319C>T |
Case 5 | 3.7 NBS 1.04 Repeat |
41.25 41.60 |
625G>A | 625G>A |
Case 6 | 2.11 NBS 1.93 Repeat 1.72 at follow-up |
Elevated (NA) | 319C>T | 991G>A |
Case 7 | 5.16 NBS 2.38 Repeat |
182.00 372.00 |
529T>C | 988C>T |
Case 8 | 2.86 NBS .96 Repeat |
118.00 | 625G>A | 988C>T |
Identified because of Clinical Symptoms | ||||
Case 9 | Normal NBS .35 at follow-up |
33.29 | 625G>A | 625G>A |
Case 10 | No NBS in state .74 Initial at 17 months .91 at follow-up 1.68 at follow-up |
38.98 | 625G>A | 625G>A |
Case 11 | Normal NBS | Normal | 625G>A | 511C>T |
Case 12 | No NBS in state 5.11 at follow-up |
30.00 | 625G>A | 511C>T |
Case 13 | No NBS in state 2.44 at follow-up 1.38 at follow-up |
24.28 | 625G>A 136C>T |
625G>A |
Case 14 | Normal NBS 1.09 at follow-up |
21.96 54.42 |
625G>A | 625G>A |
NBS = Newborn Screening
C4 levels measured at newborn screening ranged from 2.0 μmol/L to 5.16 μmol/L. Confirmatory testing revealed that all children in this group had increased levels of urinary ethylmalonic acid (> 20.2 μg/mg creatinine). Three children (cases 2, 3, 4) identified through newborn screening are homozygous for inactivating mutations in the SCAD gene (ACADS; OMIM 606885); cases 2 and 4 for the 319C>T mutation and case 3 for the 529T>C mutation. Two other cases (cases 1, 5) are doubly heterozygous for these mutations and the 625G>A variant. Other SCAD mutations in this group included 505A>C, 319C>T, 988C>T, 991G>A, and 529T>C.
Laboratory findings in the clinically identified group (Table 2)
Of the six clinically identified children, three were reported to have newborn screening results below cut-off (as noted in the medical records for cases 9, 11, 14) and three were born in states where MS/MS based acylcarnitine analysis was not part of newborn screening at the time of their births. At the time of diagnosis or follow-up, C4 levels ranged from 0.35 μmol/L (within the control range) to 5.11 μmol/L, and all but one child in this group (case 11) had increased levels of urinary ethylmalonic acid (> 20.2 μg/mg creatinine). All clinically identified patients had at least one copy of the 625G>A variation and five of these children were homozygous for this variant. Two children had one copy of the 511C>T variant (cases 11, 12).
Neurodevelopmental findings in the newborn screened group (Table 3)
Table 3.
Case | Age at Time 1 in months | Vineland Adaptive Behavior Composite | MDI | PDI | Stanford -Binet | Age at Time 2 in months | Vineland Adaptive Behavior Composite | MDI | PDI | Stanford -Binet | Developmental Outcome |
---|---|---|---|---|---|---|---|---|---|---|---|
Newborn Screened | |||||||||||
Case 1 | 6 | NA | 88 | 73 | - | 20 | 87 | 110 | 90 | - | Normal at 3 years |
Case 2 | 6 | 112 | 100 | 88 | - | 20 | 95 | 102 | 113 | - | Normal at 4 years |
Case 3 | 6 | 119 | 145 | 117 | - | NA | - | - | - | - | Normal at 1 year |
Case 4 | 9 | 110 | 111 | 102 | - | 21 | 95 | 112 | 116 | - | Normal at 29 months |
Case 5 | 15 | 114 | 113 | 113 | - | 29 | 106 | 96 | 87 | - | Normal at 29 months |
Case 6 | 5 | 118 | 102 | 94 | - | 15 | 109 | 107 | 121 | - | Normal at 15 months |
Case 7 | 16 | 85 | 98 | 59 | - | - | - | - | - | - | Language delay at 26 months |
Case 8 | NA | - | - | - | - | NA | - | - | - | - | Normal at 20 months |
Identified because of Clinical Symptoms | |||||||||||
Case 9 | 26 | 91 | 103 | 104 | - | 41 | 105 | - | - | 124 | Normal at 4 years |
Case 10 | 21 | 64 | 49 | 49 | - | 32 | 51 | - | - | - | Autism, mental retardation and delays in language and motor skills at 6 years |
Case 11 | 48 | 108 | - | - | 95 | 64 | 94 | - | - | 116 | Normal at 5 years |
Case 12 | 56 | 71 | - | - | 110 | 67 | 64 | - | - | 85 | Hypotonia, learning disabilities at 8 yrs |
Case 13 | 70 | 37 | - | - | 36 | 90 | 38 | - | - | 51 | Mental retardation and delays in language and motor skills at 8 yrs |
Case 14 | 35 | 45 | 49 | 49 | - | 49 | 42 | 49 | 49 | - | Mental retardation (non-verbal, non-ambulatory) at 4 years, Rett Syndrome |
Time 1 = age at time of first study assessment ; Time 2 = age at time of second study assessment
MDI = Mental Development Index from the Bayley Scales of Infant Development
PDI = Psychomotor Development Index from the Bayley Scales of Infant Development
In the newborn screened group, children were evaluated between the ages of 5 and 29 months. All of the eight children in the newborn screened group obtained scores within the average range on the Vineland Adaptive Behavior Scale (Time 1: mean = 110 ± 13, range 85–119, Time 2: mean = 98 ± 8, range 87–109). At the time of the first evaluation, all but case 1 performed within the average or accelerated range for their age on both indices of the Bayley Scales of Infant Development-2nd Edition. At the time of the second evaluation, all children received scores within the average range. On the cognitive scale, the mean MDI was 108 ± 18 (range 88 – 145) for Time 1 and 105 ± 6 (range 96 – 112) for Time 2. On the performance scale, the mean PDI was 92 ± 21 (range 59 – 117) for Time 1 and 105 ± 14 (range 87 – 121) for Time 2. In the newborn screened group, four children (cases 1, 2, 3, 7) initially received a score on the motor scale of the Bayley (PDI) that was 10-points lower than their score on the mental scale (MDI). Only one child in this group (case 5) had significantly lower motor scores during the second evaluation, although scores were within the average range. Currently, all eight children have normal development; the one possible exception is case 7 who is experiencing language delays. None of the children have had significant medical complications.
Neurodevelopmental findings in the clinically identified group (Table 3)
In this group, the average age at diagnosis was 28 ± 19 months. These children were evaluated the first time at an average age of 43 ± 19 months. The mean Vineland Adaptive Behavior Composite score was 72 ± 25 (range 37– 108) for Time 1 and 66 ± 25 (range 38–105) for Time 2. By the time of the second evaluation, four children (cases 10, 12 13, 14) had scores less than 70 (greater than two standard deviations below the normative mean) on the Vineland, indicative of mental retardation. Two children (cases 9, 11) who had had normal newborn screening results were functioning at age-level in all areas of development at the time of most recent report. One child (case 14) with a normal newborn screening result has severe motor and speech delays, mental retardation, and Rett syndrome. She is one of a triplet and was born at 31 gestational weeks. The other clinically diagnosed children with mental retardation include one child who experienced perinatal asphyxia (case 13) and a twin born at 36 weeks to a mother who experienced HELLP syndrome during her pregnancy (case 12). Case 10 has severe aphasia, some motor delay and autistic spectrum features.
DISCUSSION
Our series of 14 patients demonstrates the difference between children identified by newborn screening compared to those identified because of clinical symptoms. It provides clinical and biochemical information that should be considered in the continuing debate about SCADD. None of the eight newborn screened children experienced significant health issues beyond the immediate newborn period and none demonstrated developmental delay beyond infancy, except for one child with language delay. However, several of these children experienced transient problems at birth or within the first days of life. In addition, one of these children (case 6) recently experienced an episode of unexplained drooling and loss of expressive language at age 2 years and was hospitalized shortly thereafter with hypoglycemia. Six months later, when she returned to the metabolism clinic for her regularly scheduled appointment, her speech had returned and her developmental score on the Bayley Scales was comparable to her previous scores.
All of the children in the clinically identified group demonstrated serious clinical symptoms which were initially ascribed to SCADD. For each of these children, supplementary or alternative explanations have been entertained. These include prematurity, perinatal asphyxia, and maternal HELLP syndrome. In another child (case 10), clinical symptoms, including hypoglycemia and lactic acidosis, did not appear until age 17 months, after which time aphasia and autistic spectrum features were noted. Still another child (case 14) has been diagnosed with genotypically proven Rett Syndrome. We have also recently evaluated another girl (not included in this study) with biochemical evidence of SCADD and Rett syndrome, although genotype was not available.
The SCAD encoding gene, ACADS, is located in the terminal region of the long arm of chromosome 12. It spans approximately 13kb and consists of 10 exons [29]. Twenty-two different pathogenic mutations have now been associated with SCADD and two variants have been found, 625G>A and 511C>T [30], that are relatively common in the general population, with variation in frequency among different ethnic groups [6,17, 31] . It has been suggested that these polymorphisms, when homozygous or heterozygous with a known pathogenic mutation, increase susceptibility to symptoms in certain environmental situations, such as fever [6, 32] . However, it is still unknown why only certain individuals carrying these variations develop clinically relevant disease. A similar situation appears to emerge with respect to the 319C>T mutation which has been shown to cause complete loss of SCAD activity in vitro [7]. This mutation was identified in seven homozygote (3/7) or compound heterozygote (4/7) cases who presented from birth to six years with significant neuromuscular symptoms [17]. While this mutation was not detected among our clinically identified patients, 2 children detected by newborn screening are homozygotic for 319C>T (cases 2 and 4) and are healthy at ages 4 years and 29 months, respectively. However, one child (case 6), who is doubly heterozygous for 319C>T and 991G>A experienced a temporary neurological deficit at age 2 years. Given these results, a definitive genotype-phenotype association for the 319C>T mutation in terms of neurological outcome is not possible.
It seems of interest that all but one of the children identified by newborn screening but none of the clinically identified children is homozygous or doubly heterozygous for SCAD mutations. Conversely, the clinically identified children, with one exception, harbor only SCAD gene variants. The clinically exceptional child is case 13 who carries the 136C>T mutation. This observation is counterintuitive to the usual assumption that a genetic disorder is more likely to produce clinical disease in those with mutations than in those with polymorphisms. Indeed, the prevalence of the 625G>A variants in the general population has led to questioning its relevance for clinical disease [30, 31]. Nevertheless, the number of cases of clinical disease reported in individuals who harbor the 625G>A variants has led to the hypothesis that environmental stress or malfunctioning metabolic systems lead to clinical disease in those who have “susceptibility” gene variants [6, 30, 32] .
A clinically abnormal phenotype in the mouse models for SCADD is equally uncertain. There are two mouse models, one identified by screening mice for organic acidemias [33] and the other produced transgenically [34]. The first, a BALB/cByJ mouse, is asymptomatic except when subjected to an 18-hour fast at which time severe fatty liver and hypoglycemia are observed [33]. The transgenic mouse is continually asymptomatic [34].
Newborn screening failed to identify the 3 clinically identified children. This is consistent with the reports of Nagan et al [31] who found higher concentrations of C4 but below the threshold that would lead to follow-up in newborn screening among those homozygous for the 625G>A variant and van Maldegem et al [30] who found no significant differences in the newborn screening C4 concentration between children in the 625G>A homozygous, heterozygous and non-carrier groups who had mean scores of 0.16, 0.13 and 0.15 μmol/L respectively. Acylcarnitine levels, however, may be sensitive to timing of the sample collection in relation to fasting and may not be consistently elevated, as found in some cases of VLCADD [35].
Increased ethylmalonic aciduria (EMA) is also a common biochemical marker in children diagnosed with SCADD [7, 32]. In our study, all children in the newborn screened group excreted increased EMA, ranging from 41–330 μg/mg creatinine. A study by Corydon et al [32] found that 60% of patients with elevated EMA levels were homozygous for the 625G>A variant and 30% were heterozygous for this genetic variation.
Another potentially significant observation is the possible association between maternal pregnancy complications and an elevated C4 on newborn screening. In this study, four of the eight mothers in the newborn screened group and three of the six mothers in the clinically identified group experienced pregnancy complications including maternal hypertension, pre-eclampsia and mild HELLP syndrome. Thirty-one percent of women in the general population experienced at least 1 obstetric complication or at least 1 pre-existing medical condition [36]. For HELLP syndrome, the rate is 0.17–0.85% in the general population [37]. In another study, a patient with SCADD was born to a mother who had developed acute fatty liver of pregnancy (AFLP) [38]. Others have demonstrated a correlation between maternal HELLP syndrome and children with fatty acid-oxidation defects [16, 39, 40]. They hypothesized that carrying a fetus with a fatty acid oxidation defect imposes an environmental burden that leads to the expression of maternal liver disease in a woman who has a genotypic or other susceptibility, although Holub et al [41] reported no such association.
In summary, this study highlights the unsettling questions regarding the outcomes associated with SCADD. The essentially normal growth and development of the children identified by newborn screening and treated primarily with frequent feedings and early medical intervention during acute illness, in contrast to the severe symptoms in children identified clinically, suggests the possibility that SCADD is usually a benign condition. If so, SCADD would be added to histidinemia [42] and Hartnup disease [43] as other examples of inborn errors believed to be clinically significant before newborn screening but, as a result of follow-up studies in children identified by newborn screening, was found to be usually benign. Individuals with SCADD who develop clinical disease without obvious cause could be an example of interaction between genetic susceptibility and environmental stressors, as has been the explanation in histidinemia and Hartnup disease [44]. At this time, supplementary/alternative diagnoses for clinical symptoms should also be considered when symptomatic patients with a biochemical phenotype of SCADD appear.
There are three plausible interpretations of our data: 1) There is clinical heterogeneity in SCADD, 2) newborn screening and prevention of hypoglycemia prevent adverse consequences of this disease, 3) SCADD is benign and the clinical features ascribed to SCADD reflect ascertainment bias. The correct interpretation awaits further evidence. To obtain this evidence it may help if regions where SCADD is included in the newborn screening program compare long-term outcome data to those programs where SCADD was excluded from newborn screening. The following elements should be considered in such a comparison: newborn screening findings, genotype, confirmatory laboratory values, and longitudinal follow-up at least through age 7 or 8 years, the time when most learning disabilities will become apparent and when IQ tends to stabilize [45]. Evaluations should include a medical history, physical examination, and neuropsychological testing with measures of intelligence, attention, executive functioning, motor skills, speech and language, achievement, behavior and emotional well-being. Parents and siblings should be genotyped to detect previously undiagnosed relatives and affected individuals should be thoroughly evaluated. Pregnancy history and co-morbid conditions should be described. Results from comparison groups of clinically identified children and unaffected siblings as well as peers matched for age and gender would bring to light possible neuropsychological or clinical findings associated with SCADD. In conclusion, this study illustrates the critical need for long-term medical and neuropsychological follow-up in newborn screening.
Acknowledgments
Supported by a grant from Maternal and Child Health Bureau (5H46 MC 00158) and the Ethical, Legal, and Social Implications (ELSI) of the Human Genome Project, National Institutes of Health (RO1 HG02085). We would like to thank Jonathan Picker, MD, Elizabeth Gurian, MS and Bernhard Haring for their contributions. We also gratefully acknowledge the families who completed the interviews and assessments.
Footnotes
Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
References
- 1.Mc Kusick VA. Short-Chain Acyl-CoA Dehydrogenase (SCAD) Online Mendelian Inheritance in Man. 1986 [Google Scholar]
- 2.Amendt BA, Greene C, Sweetman L, Cloherty J, Shih V, Moon A, Teel L, Rhead WJ. Short-chain acyl-CoA dehydrogenase deficiency. J Clin Invest. 1987;79:1303–1309. doi: 10.1172/JCI112953. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Zytkovicz TH, Fitzgerald EF, Marsden D, Larson CA, Shih VE, Johnson DM, Strauss AW, Comeau AM, Eaton RB, Grady GF. Tandem mass spectrometric analysis for amino, organic, and fatty acid disorders in newborn dried blood spots: a two-year summary from the New England Newborn Screening Program. Clin Chem. 2001;47(11):1945–1955. [PubMed] [Google Scholar]
- 4.Chace DH, Kalas TA, Naylor EW. The application of tandem mass spectrometry to neonatal screening for inherited disorders of intermediary metabolism. Annu Rev Genomics Hum Genet. 2002;3:17–45. doi: 10.1146/annurev.genom.3.022502.103213. [DOI] [PubMed] [Google Scholar]
- 5.Baerlocher KE, Steinman B, Aguzzi A, Krahenbuhl S, Roe CR, Vianey-Saban C. Short-chain acyl-CoA dehydrogenase deficiency in a 16-year old girl with severe muscle wasting and scoliosis. J Inherit Metab Dis. 1997;20:427–431. doi: 10.1023/a:1005319120751. [DOI] [PubMed] [Google Scholar]
- 6.Gregersen N, Winter VS, Corydon MJ, Corydon TJ, Rinaldo P, Ribes A, Martinez G, Bennett MJ, Vianey-Saban C, Bhala A, Hale DE, Lehnert W, Kmoch S, Roig M, Riudor E, Eiberg H, Andresen BS, Bross P, Bolund LA, Kølvraa S. Identification of four new mutations in the short-chain acyl-CoA dehydrogenase (SCAD) gene in two patients: one of the variant alleles, 511C-->T, is present at an unexpectedly high frequency in the general population, as was the case for 625G-->A, together conferring susceptibility to ethylmalonic aciduria. Hum Molec Genet. 1998;7:619–27. doi: 10.1093/hmg/7.4.619. [DOI] [PubMed] [Google Scholar]
- 7.Corydon MJ, Vockley J, Rinaldo P, Rhead WJ, Kjeldsen M, Winter V, Riggs C, Babovic-Vuksanovic D, Smeitink J, De Jong J, Levy H, Sewell AC, Roe C, Matern D, Dasouki M, Gregersen N. Role of common gene variations in the molecular pathogenesis of short-chain acyl-CoA dehydrogenase deficiency. Pediatr Res. 2001;49:18–23. doi: 10.1203/00006450-200101000-00008. [DOI] [PubMed] [Google Scholar]
- 8.Koeberl DD, Young SP, Gregersen NS, Vockley J, Smith WE, Benjamain DK, An Y, Weavil SD, Chaing SH, Bali D, McDonald MT, Kishnani PS, Chen YT, Millington DS. Rare disorders of metabolism with elevated butyryl and isobutyryl carnitine detected by tandem mass spectroscopy newborn screening. Pediat Res. 2003;54(2):1–5. doi: 10.1203/01.PDR.0000074972.36356.89. [DOI] [PubMed] [Google Scholar]
- 9.Turpin B, Tobias JD. Perioperative management of a child with short-chain acyl-CoA dehydrogenase deficiency. Paediatr Anaesth. 2005;157:771–777. doi: 10.1111/j.1460-9592.2005.01507.x. [DOI] [PubMed] [Google Scholar]
- 10.van Maldegem BT, Duran M, Wanders RJA, Niezen-Koning KE, Hogeveen M, Ijlst L, Waterham HR, Wijburg FA. Clinical, biochemical, and genetic heterogeneity in short-chain acyl-coenzyme A dehydrogenase deficiency. JAMA. 2006;30:943–952. doi: 10.1001/jama.296.8.943. [DOI] [PubMed] [Google Scholar]
- 11.Mikati MA, Chaaban HR, Karam PE, Krishnamoorthy KS. Brain malformation and infantile spasms in a SCAD deficiency patient. Pediatr Neurol. 2007;36:48–50. doi: 10.1016/j.pediatrneurol.2006.08.008. [DOI] [PubMed] [Google Scholar]
- 12.Kurian MA, Harley L, Zolkipli Z, Little MA, Costigan D, Naughten ER, Olpin S, Muntoni F, King MD. Short-chain acyl-CoA dehydrogenase deficiency associated with early onset severe axonal neuropathy. Neuropediatrics. 2004;35:312–316. doi: 10.1055/s-2004-830371. [DOI] [PubMed] [Google Scholar]
- 13.Coates PM, Hale DE, Finnocchiaro G, Tanaka K, Winter SC. Genetic deficiency of short-chain acyl-coenzyme A dehydrogenase in cultured fibroblasts from a patient with muscle carnitine deficiency and severe skeletal and muscle weakness. J Clin Invest. 1988;81:171–174. doi: 10.1172/JCI113290. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Bhala A, Willi SM, Rinaldo P, Bennett MJ, Schmidt-Sommerfeld E, Hale DE. Clinical and biochemical characterization of short-chain acyl-coenzyme A dehydrogeanse deficiency. J Pediatr. 1995;126:910–915. doi: 10.1016/s0022-3476(95)70207-5. [DOI] [PubMed] [Google Scholar]
- 15.Dawson BD, Waber L, et al. Transient organic aciduria and persistent lacticacidemia in a patient with short-chain acyl-coenzyme A dehydrogenase deficiency. J Pediatr. 1995;126:69–71. doi: 10.1016/s0022-3476(95)70505-8. [DOI] [PubMed] [Google Scholar]
- 16.Bok LA, Vreken P, et al. Short-chain acyl-CoA dehydrogenase deficiency: Studies in a large family adding to the complexity of the disorder. Pediatrics. 2003;112:1152–1155. doi: 10.1542/peds.112.5.1152. [DOI] [PubMed] [Google Scholar]
- 17.Tein I, Elpeleg O, Ben-Zeev B, Korman SH, Lossos A, Lev D, Lerman-Sagie T, Vockley G, Berry GT, Lamhownah AM, Matern D, Roe CR, Gregersen N. Short chain acyl-CoA degdrogenase gene mutation (c.319 C>T) presents with clinical heterogeneity and is candidate founder mutation in individuals of Ashkenazi Jewish origin. Molec Genet Metab. 2007:179–189. doi: 10.1016/j.ymgme.2007.09.021. [DOI] [PubMed] [Google Scholar]
- 18.Gregersen N, Andresen BS, et al. Prevalent mutations in fatty acid oxidation disorders: diagnostic considerations. Europ J Pediatr. 2000;159(Suppl 3):S213–8. doi: 10.1007/pl00014406. [DOI] [PubMed] [Google Scholar]
- 19.Marsden D, Larson C, Levy HL. Newborn screening for metabolic disorders. J Pediatr. 2006;148:577–584. doi: 10.1016/j.jpeds.2005.12.021. [DOI] [PubMed] [Google Scholar]
- 20.Jethva RN, Ficcicioglu C. Clinical outcomes of infants with short-chain acyl-coenzyme A dehydrogenase deficiency detected by newborn screening. Abstracts/Molecular Genetics and Metab. 2008;93:252. doi: 10.1016/j.ymgme.2008.09.003. (Abstract #47) [DOI] [PubMed] [Google Scholar]
- 21.Ribes A, Lozano MJ, Gregersen N, Rodés, Vianey-Saban C. Report of a family with short chain acyl-CoA dehydrogenase (SCAD) deficiency. J Inherit Metab Dis. 2002;25(Suppl 1):64. [Google Scholar]
- 22.Waisbren S. Newborn screening for metabolic disorders. JAMA. 2006;296:993–995. doi: 10.1001/jama.296.8.993. [DOI] [PubMed] [Google Scholar]
- 23.Anderson PJ, Fitch WL, Halpern B. Rapid and simplified extraction procedure for gas chromatographic-mass spectrometric profiling of urinary organic acids. J Chromatogr. 1978;146:481–484. doi: 10.1016/s0378-4347(00)81207-4. [DOI] [PubMed] [Google Scholar]
- 24.Matern D. Acylcarnitine analysis. In: Blau N, Duran M, Gibson KM, editors. Laboratory guide to the methods in biochemical genetics. Springer Verlag; 2008. in press. [Google Scholar]
- 25.Waisbren SE, Albers S, Amato S, Ampola M, Brewster TG, Demmer L, Eaton RB, Greenstein R, Korson M, Larson C, Marsden D, Msall M, Naylor EW, Pueschel S, Seashore M, Shih VE, Levy HL. Effect of expanded newborn screening for biochemical genetic disorders on child outcomes and parental stress. JAMA. 2003;290:2564–2571. doi: 10.1001/jama.290.19.2564. [DOI] [PubMed] [Google Scholar]
- 26.Bayley N. Bayley Scales of Infant Development. 2. The Psychological Corporation; San Antonio: 1993. [Google Scholar]
- 27.Thorndike RL, Hagen EP, Sattler J. The Stanford-Binet Intelligence Scale. 4. Riverside Publishing; Illinois: 1986. [Google Scholar]
- 28.Sparrow SS, Balla DA, Cicchetti DV. Vineland Adaptive Behavior Scales: Interview Edition, Survey Form. American Guidance Service; Minnesota: 1984. [Google Scholar]
- 29.Corydon MJ, Andresen BS, Bross P, Kjeldsen M, Andreasen PH, Eiberg H, Kølvraa S, Gregersen N. Structural organization of the human short-chain acyl-CoA dehydrogenase gene. Mammalian Genome. 1997;8:922–26. doi: 10.1007/s003359900612. [DOI] [PubMed] [Google Scholar]
- 30.van Maldegem BT, Waterham HR, Duran M, van der Vlies M, van Woerden CS, Bobu LL, Wanders RJ, Wijburg FA. The 625G>A SCAD gene variant is common but not associated with increased C4-carnitine in newborn blood spots. J Inherit Metab Dis. 2005;28:557–562. doi: 10.1007/s10545-005-0557-0. [DOI] [PubMed] [Google Scholar]
- 31.Nagan N, Kruckeberg KE, Tauscher AL, Bailey KS, Rinaldo P, Matern D. The frequency of short-chain acyl-CoA dehydrogenase gene variants in the US population and correlation with the C(4)-acylcarnitine concentration in newborn blood spots. Molec Genet Metab. 2003;78:239–246. doi: 10.1016/s1096-7192(03)00034-9. [DOI] [PubMed] [Google Scholar]
- 32.Corydon MJ, Gregersen N, Lehnert W, Ribes A, Rinaldo P, Kmoch S, Christensen E, Kristensen TJ, Andresen BS, Bross P, Winter V, Martinez G, Neve S, Jensen TG, Bolund L, Kølvraa S. Ethylmalonic aciduria is associated with an amino acid variant of short chain acyl-coenzyme A dehydrogenase. Pediatr Res. 1996;39:1059–1066. doi: 10.1203/00006450-199606000-00021. [DOI] [PubMed] [Google Scholar]
- 33.Wood PA, Amendt BA, Rhead WJ, Millington DS, Inove F, Armstrong D. Short-chain acyl-coenzyme A dehydrogenase deficiency in mice. Pediatr Res. 1989;25:38–43. doi: 10.1203/00006450-198901000-00010. [DOI] [PubMed] [Google Scholar]
- 34.Kragh PM, Pedersen CB, Schmidt SP, Winter VS, Vajta G, Gregersen N, Bolund L, Corydon TJ. Handling of human short-chain acyl-CoA dehydrogenase (SCAD) variant proteins in transgenic mice. Molec Genet Metab. 2007;91:128–137. doi: 10.1016/j.ymgme.2007.03.005. [DOI] [PubMed] [Google Scholar]
- 35.Fearing M, Marsden D. Expanded newborn screening. Pediatr Ann. 2003;32:509–515. doi: 10.3928/0090-4481-20030801-08. [DOI] [PubMed] [Google Scholar]
- 36.Danel I, Berg C, Johnson CH, Atrash H. Magnitude of maternal morbidity during labor and delivery: United States, 1993–1997. Am J Public Health. 2003:631–634. doi: 10.2105/ajph.93.4.631. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Mihu D, Costin N, Mihu C, Seicean A, Ciortea R. HELLP syndrome - A multisystemic disorder. J Gastrointestin Liver Dis. 2007:419–24. [PubMed] [Google Scholar]
- 38.Matern D, Hart P, Murtha AP, Vockley J, Gregersen N, Millilngton DS, Treem Wr. Acute fatty liver of pregnancy associated with short-chairn acyl-coenzyme. A dehydrogenase deficiency. 2001;138:585–8. doi: 10.1067/mpd.2001.111814. [DOI] [PubMed] [Google Scholar]
- 39.Strauss AW, Bennett MJ, Rinaldo P, Sims HF, O'Brien LK, Zhao Y, Gibson B, Ibdah J. Inherited long-chain 3-hydroxyacyl-CoA dehydrogenase deficiency and a fetal-maternal interaction cause maternal liver disease and other pregnancy complications. Semin Perinatol. 1999;23:100–112. doi: 10.1016/s0146-0005(99)80044-5. [DOI] [PubMed] [Google Scholar]
- 40.Browning MF, Levy HL, Wilkins-Haug LE, Larson C, Shih VE. Fetal fatty acid oxidation defects and maternal liver disease in pregnancy. Obstet and Gynecol. 2006;107:115–120. doi: 10.1097/01.AOG.0000191297.47183.bd. [DOI] [PubMed] [Google Scholar]
- 41.Holub M, Bodamer OA, Item C, Mühl A, Pollak A, Stöckler-Ipsiroglu S. Lack of correlation between fatty acid oxidation disorders and haemolysis, elevated liver enzymes, low platelets (HELLP syndrome) Acta Paediatr. 2005;94:48–52. doi: 10.1111/j.1651-2227.2005.tb01787.x. [DOI] [PubMed] [Google Scholar]
- 42.Levy HL, Shih VE, Madigan PM. Routine newborn screening for histidinemia. Clinical and biochemical results. New Engl J Med. 1974;291:1214–9. doi: 10.1056/NEJM197412052912303. [DOI] [PubMed] [Google Scholar]
- 43.Wilcken B, Smith A, Brown DA. Urine screening for aminoacidopathies: is it beneficial? Results of a long-term follow-up of cases detected by screening one millon babies. J Pediatr. 1980;97:492–7. doi: 10.1016/s0022-3476(80)80216-2. [DOI] [PubMed] [Google Scholar]
- 44.Scriver CR, Mahon B, Levy HL, Clow CL, Reade TM, Kronick J, Lemieux B, Laberge C. The Hartnup phenotype: Mendelian transport disorder, multifactorial disease. Am J Hum Genet. 1987;40:401–412. [PMC free article] [PubMed] [Google Scholar]
- 45.Sattler JM. Assessment of children: Cognitive Applications. 4. La Mesa, CA: Jerome M. Sattler, Publishers, Inc; 2001. [Google Scholar]