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1.
Cerebellum ; 7(3): 360-5, 2008.
Article in English | MEDLINE | ID: mdl-18581197

ABSTRACT

Friedreich's ataxia is an autosomal recessive neurodegenerative disease that is due to the loss of function of the frataxin protein. The molecular basis of this disease is still a matter of debate and treatments have so far focused on managing symptoms. Drugs that can increase the amount of frataxin protein offer a possible therapy for the disease. One such drug is recombinant human erythropoietin (rhu-EPO). Here, we report the effects of rhu-EPO on frataxin mRNA and protein in primary fibroblast cell cultures derived from Friedreich's ataxia patients. We observed a slight but significant increase in the amount of frataxin protein. Interestingly, we did not observe any increase in the messenger RNA expression at any of the times and doses tested, suggesting that the regulatory effects of rhu-EPO on the frataxin protein was at the post-translational level. These findings could help the evaluation of the treatment with erythropoietin as a potential therapeutic agent for Friedreich's ataxia.


Subject(s)
Erythropoietin/pharmacology , Gene Expression Regulation/drug effects , Iron-Binding Proteins/genetics , Protein Processing, Post-Translational/drug effects , RNA, Messenger/genetics , Adult , Female , Fibroblasts/physiology , Friedreich Ataxia/genetics , Humans , Male , Middle Aged , Recombinant Proteins , Young Adult , Frataxin
2.
Diabetes Care ; 30(5): 1156-61, 2007 May.
Article in English | MEDLINE | ID: mdl-17259473

ABSTRACT

OBJECTIVE: We explore the relationship among BMI, habitual diet, and the Pro12Ala polymorphism in the peroxisome proliferator-activated receptor (PPAR)gamma2. RESEARCH DESIGN AND METHODS: The Pro12Ala variant was characterized in 343 unrelated type 2 diabetic patients who were consecutively seen at the outpatient clinic of a health district of the province of Naples. Anthropometric and laboratory parameters were measured; habitual diet was assessed by a validated semiquantitative food frequency questionnaire. RESULTS: The overall frequency of Ala12 was 12% (n = 42). BMI was significantly higher in Ala carriers than non-Ala carriers, whereas total daily energy intake or macronutrient composition of the diet were similar in the two groups. For further analysis, participants were stratified according to genotype and sex-specific quartiles of energy intake. BMI increased in both genotype groups with increasing energy intake (P < 0.03). BMI was similar in Ala carriers and non-Ala carriers (30.0 vs. 30.1 kg/m2, P > 0.10) in the lower quartile of energy intake but significantly higher in Ala carriers in the upper quartile (36.0 vs. 32.1 kg/m2, P < 0.001). Average daily energy intake and diet composition were comparable within each quartile for carriers or noncarriers of the Ala allele. Relative to the noncarriers, Ala carriers had a significantly lower energy intake per kilogram body weight, thus suggesting that the Ala allele is associated with a higher food efficiency. The confounding role of medications, glucose control, and physical exercise was ruled out. CONCLUSIONS: This study provides evidence of a differential susceptibility to fat accumulation, and, hence, weight gain, in response to habitual high energy intake for Ala carriers compared with Pro/Pro homozygotes.


Subject(s)
Diabetes Mellitus, Type 2/genetics , Energy Metabolism/genetics , PPAR gamma/genetics , Polymorphism, Single Nucleotide , Weight Gain/genetics , Adult , Aged , Alanine , Amino Acid Substitution , Body Mass Index , Creatinine/blood , Diet, Diabetic , Feeding Behavior , Female , Genetic Carrier Screening , Genetic Variation , Humans , Male , Middle Aged , Proline
3.
BMC Med Genet ; 7: 85, 2006 Dec 06.
Article in English | MEDLINE | ID: mdl-17150099

ABSTRACT

BACKGROUND: It is widely accepted that Type 2 Diabetes Mellitus (T2DM) and other complex diseases are the product of complex interplay between genetic susceptibility and environmental causes. To cope with such a complexity, all the statistical and conceptual strategies available should be used. The working hypothesis of this study was that two well-known T2DM risk factors could have diverse effect in individuals carrying different genotypes. In particular, our effort was to investigate if a well-defined group of genes, involved in peripheral energy expenditure, could modify the impact of two environmental factors like age and obesity on the risk to develop diabetes. To achieve this aim we exploited a multianalytical approach also using dimensionality reduction strategy and conservative significance correction strategies. METHODS: We collected clinical data and characterised five genetic variants and 2 environmental factors of 342 ambulatory T2DM patients and 305 unrelated non-diabetic controls. To take in account the role of one of the major co-morbidity conditions we stratified the whole sample according to the presence of obesity, over and above the 30 Kg/m2 BMI threshold. RESULTS: By monofactorial analyses the ADRB2-27 Glu27 homozygotes had a lower frequency of diabetes when compared with Gln27 carriers (Odds Ratio (OR) 0.56, 95% Confidence Interval (CI) 0.36 - 0.91). This difference was even more marked in the obese subsample. Multifactor Dimensionality Reduction method in the non-obese subsample showed an interaction among age, ADRB2-16 and UCP3 polymorphisms. In individuals that were UCP3 T-carriers and ADRB2-16 Arg-carriers the OR increased from 1 in the youngest to 10.84 (95% CI 4.54-25.85) in the oldest. On the contrary, in the ADRB2-16 GlyGly and UCP3 CC double homozygote subjects, the OR for the disease was 1.10 (95% CI 0.53-2.27) in the youngest and 1.61 (95% CI 0.55-4.71) in the oldest. CONCLUSION: Although our results should be confirmed by further studies, our data suggests that, when properly evaluated, it is possible to identify genetic factors that could influence the effect of common risk factors.


Subject(s)
Diabetes Mellitus, Type 2/genetics , Ion Channels/genetics , Mitochondrial Proteins/genetics , Polymorphism, Single Nucleotide/genetics , Receptors, Adrenergic, beta-2/genetics , Adult , Age Distribution , Age Factors , Aged , Body Mass Index , Chi-Square Distribution , Diabetes Mellitus, Type 2/blood , Diabetes Mellitus, Type 2/physiopathology , Female , Gene Frequency , Genetic Predisposition to Disease/genetics , Genotype , Humans , Hypertension/physiopathology , Male , Middle Aged , Obesity/physiopathology , Odds Ratio , Risk Factors , Triglycerides/blood , Uncoupling Protein 3
4.
Hum Genet ; 114(5): 458-63, 2004 Apr.
Article in English | MEDLINE | ID: mdl-14767759

ABSTRACT

Friedreich's ataxia (FRDA) is an autosomal recessive neurodegenerative disorder commonly caused by large expansions of a GAA repeat in the first intron of the frataxin gene, FRDA. The expansion of the triplet repeat is localized within an Alu sequence. FRDA GAA-repeat alleles can be divided into three classes depending on their lengths: short normal alleles (SN), long normal alleles (LN) and expanded pathological alleles (E). We made an accurate analysis of the Alu sequence containing the GAA repeat. We found a new single-nucleotide polymorphism (SNP) that is the closest one to the GAA repeat. We studied this new SNP and the polymorphic polyA region contiguous to the GAA triplets in two populations with different frequencies of FRDA. We found that, while both E and LN alleles seem to be genetically homogeneous and likely related, SN represents a more heterogeneous class of alleles. Indeed, one SNP variation (T) was more frequently associated with (GAA)(8) alleles, whereas the other one (C) with (GAA)(9) repeat(s). The long normal and expanded alleles presented the C haplotype. The same correlation was described for polyA-tract polymorphisms. Thus, 14A was commonly associated with (GAA)(8) alleles and 17A with (GAA)(9) alleles. The long normal alleles more frequently showed the 17A haplotype. Our data seem to suggest that all the E alleles come from LN alleles, while LN alleles come from a defined subclass of SN alleles.


Subject(s)
Alleles , Alu Elements/genetics , Friedreich Ataxia/genetics , Iron-Binding Proteins/genetics , Trinucleotide Repeat Expansion/genetics , Asian People , DNA Primers , Electrophoresis, Agar Gel , Electrophoresis, Polyacrylamide Gel , Genes, Recessive/genetics , Humans , Polymerase Chain Reaction , Polymorphism, Single Nucleotide/genetics , Sequence Analysis, DNA , White People , Frataxin
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