These results show that BH(4) non-responsiveness is associated with genotype. However, patients with mutations in the regulatory domain show inconsistent results. In patients with two responsive alleles, non-responsiveness may be related to negative inter-allelic complementation. In patients with the same genotype and inconsistent results for BH(4) load, external factors such as intestinal absorption of BH(4), catabolic conditions or other genetic factors may be responsible. Further in vitro studies are necessary to clarify the genotype-phenotype correlation in patients with BH(4)-responsive PKU.
Treatment with tetrahydrobiopterin (BH4), the natural cofactor of phenylalanine hydroxylase (PAH), can reduce blood phenylalanine (Phe) levels in patients with BH4-responsive phenylketonuria (PKU). A number of studies has reported on the short-term BH4 treatment of patients with PKU, but long-term data are lacking. Here, we describe the effects of long-term treatment with BH4 on 16 patients, who showed a >28% reduction in blood Phe following testing for BH4 overload. The mean dose of BH4 was 16 mg/kg body weight (range 5-36 mg/kg body weight). The mean treatment duration was 56 months (range 24-110 months). Of 16 patients, 14 achieved long-term Phe control with BH4 treatment, with a mean blood Phe concentration of 321 ± 236 µmol/l. The mean decrease from baseline in blood Phe levels in these 14 patients was 54.6%. Of the seven patients who required continued dietary restriction, Phe intake increased from 200-300 mg/day to 800-1000 mg/day. Factors that may cause fluctuation of Phe levels in BH4-treated patients include patients' PAH genotype, Phe intake, changes in protein catabolism or anabolism, and periods of illness or infection.
We report the successful treatment using low-dose vigabatrin (21.5-34 mg/kg/day) of a 10-year-old girl with succinic semialdehyde dehydrogenase (SSADH) deficiency We verified that 4-hydroxybutyric acid (GHB) concentrations in serum, cerebrospinal fluid, and urine continuously decreased in parallel with significant clinical improvement. Our results suggest that GHB quantification in physiological fluids may be a useful laboratory parameter for monitoring efficacy of vigabatrin treatment in SSADH deficiency.
Cobalamin C (cblC) defect is an inherited autosomal recessive disorder that affects cobalamin metabolism. Patients are treated with hydroxycobalamin to ameliorate the clinical features of early-onset disease and prevent clinical symptoms in late-onset disease. Here we describe a patient in whom prenatal maternal treatment with 30 mg/week hydroxycobalamin and 5 mg/day folic acid from week 15 of pregnancy prevented disease manifestation in a girl who is now 11 years old with normal IQ and only mild ophthalmic findings. The affected older sister received postnatal treatment only and is severely intellectually disabled with severe ophthalmic symptoms. This case highlights the potential of early, high-dose intrauterine treatment in a fetus affected by the cblC defect.
Recent clinical studies with adult polytrauma patients indicate that elevated plasma levels of anaphylatoxin C3a correlate with the subsequent development of the adult respiratory distress syndrome (ARDS). However, there are no parameters which allow a reliable diagnosis of ARDS in neonates. As the most predisposing condition for ARDS seems to be shock, plasma C3a was determined in 30 ventilated premature infants and neonates with respiratory distress syndrome (birth weights 660-3350 g) within the first 24 h post partum or 6-24 h after acute asphyxia or shock during the neonatal period. The range of C3a, measured by ELISA, was between 57 and 1000 ng/ml. In the asphyxia group (n = 15) peak levels of C3a in plasma (mean 388 ng/ml) were significantly higher (P less than 0.001) than in the control group (mean 153 ng/ml). In some neonates with suspected ARDS, additional samples were taken. A rise in C3a between days 2 and 8 was associated with a fatal outcome of the disease. As in adults, C3a might be a useful indicator for ARDS in neonates.
There are about 1500 genetic metabolic diseases. A small number of treatable diseases are diagnosed by newborn screening programs, which are continually being developed. However, most diseases can only be diagnosed based on clinical symptoms or metabolic findings. The main biological fluids used are urine, plasma and, in special situations, cerebrospinal fluid. In contrast to commonly used methods such as gas chromatography and high performance liquid chromatography mass spectrometry, ex vivo proton spectroscopy (1H‐NMR) is not yet used in routine clinical practice, although it has been recommended for more than 30 years. Automatic analysis and improved NMR technology have also expanded the applications used for the diagnosis of inborn errors of metabolism. We provide a mini‐overview of typical applications, especially in urine but also in plasma, used to diagnose common but also rare genetic metabolic diseases with 1H‐NMR. The use of computer‐assisted diagnostic suggestions can facilitate interpretation of the profiles. In a proof of principle, to date, 182 reports of 59 different diseases and 500 reports of healthy children are stored. The percentage of correct automatic diagnoses was 74%. Using the same 1H‐NMR profile‐targeted analysis, it is possible to apply an untargeted approach that distinguishes profile differences from healthy individuals. Thus, additional conditions such as lysosomal storage diseases or drug interferences are detectable. Furthermore, because 1H‐NMR is highly reproducible and can detect a variety of different substance categories, the metabolomic approach is suitable for monitoring patient treatment and revealing additional factors such as nutrition and microbiome metabolism. Besides the progress in analytical techniques, a multiomics approach is most effective to combine metabolomics with, for example, whole exome sequencing, to also diagnose patients with nondetectable metabolic abnormalities in biological fluids. In this mini review we also provide our own data to demonstrate the role of NMR in a multiomics platform in the field of inborn errors of metabolism.
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