De novo mutations in hereditary diffuse leukoencephalopathy with axonal spheroids (HDLS).

in Neurology (2013), 81(23), 2039-44

OBJECTIVE: Hereditary diffuse leukoencephalopathy with axonal spheroids (HDLS) is caused by autosomal-dominantly inherited mutations in the colony stimulating factor 1 receptor (CSF1R) gene, and is ... [more ▼]

OBJECTIVE: Hereditary diffuse leukoencephalopathy with axonal spheroids (HDLS) is caused by autosomal-dominantly inherited mutations in the colony stimulating factor 1 receptor (CSF1R) gene, and is clinically characterized by a progressive cognitive and motor decline leading to death within several years. METHODS: In a continuous series of 25 patients with adult-onset leukoencephalopathy of unknown cause, we genetically confirmed HDLS in 6 families. Affected and nonaffected individuals were examined clinically and by brain MRI studies. RESULTS: HDLS presented as prominent dementia and apraxia, often with extrapyramidal and pyramidal signs, rarely with ataxia. White matter MRI changes were detectable early in the disease course. Family history was negative in 4 of 6 index patients. In 2 of 6 index patients, we could confirm the occurrence of de novo mutations in the CSF1R gene. One family showed possible incomplete penetrance: the 69-year-old father of the index patient carried a CSF1R mutation but was clinically unaffected. In one family, the parents were apparently unaffected and not available for genetic testing. CONCLUSIONS: Typical clinical phenotype and early brain MRI alterations can help to guide the diagnosis of HDLS. Because we confirmed de novo mutations in one-third of patients with CSF1R mutations, this diagnosis should be considered even in the absence of a family history. Furthermore, we present evidence for reduced penetrance of a CSF1R mutation. These results have substantial impact for genetic counseling of asymptomatic individuals at risk and should foster research into disease-modifying factors. [less ▲]

Mathematical modeling of the central carbohydrate metabolism in Arabidopsis reveals a substantial regulatory influence of vacuolar invertase on whole plant carbon metabolism.

in Plant Physiology (2010), 153(1), 260-72

A mathematical model representing metabolite interconversions in the central carbohydrate metabolism of Arabidopsis (Arabidopsis thaliana) was developed to simulate the diurnal dynamics of primary carbon ... [more ▼]

A mathematical model representing metabolite interconversions in the central carbohydrate metabolism of Arabidopsis (Arabidopsis thaliana) was developed to simulate the diurnal dynamics of primary carbon metabolism in a photosynthetically active plant leaf. The model groups enzymatic steps of central carbohydrate metabolism into blocks of interconverting reactions that link easily measurable quantities like CO(2) exchange and quasi-steady-state levels of soluble sugars and starch. When metabolite levels that fluctuate over diurnal cycles are used as a basic condition for simulation, turnover rates for the interconverting reactions can be calculated that approximate measured metabolite dynamics and yield kinetic parameters of interconverting reactions. We used experimental data for Arabidopsis wild-type plants, accession Columbia, and a mutant defective in vacuolar invertase, AtbetaFruct4, as input data. Reducing invertase activity to mutant levels in the wild-type model led to a correct prediction of increased sucrose levels. However, additional changes were needed to correctly simulate levels of hexoses and sugar phosphates, indicating that invertase knockout causes subsequent changes in other enzymatic parameters. Reduction of invertase activity caused a decline in photosynthesis and export of reduced carbon to associated metabolic pathways and sink organs (e.g. roots), which is in agreement with the reported contribution of vacuolar invertase to sink strength. According to model parameters, there is a role for invertase in leaves, where futile cycling of sucrose appears to have a buffering effect on the pools of sucrose, hexoses, and sugar phosphates. Our data demonstrate that modeling complex metabolic pathways is a useful tool to study the significance of single enzyme activities in complex, nonintuitive networks. [less ▲]