@article{HornSchellerduPlessisetal.2013, author = {Horn, Anne and Scheller, Carsten and du Plessis, Stefan and Arendt, Gabriele and Nolting, Thorsten and Joska, John and Sopper, Sieghart and Maschke, Matthias and Obermann, Mark and Husstedt, Ingo W. and Hain, Johannes and Maponga, Tongai and Riederer, Peter and Koutsilieri, Eleni}, title = {Increases in CSF dopamine in HIV patients are due to the dopamine transporter 10/10-repeat allele which is more frequent in HIV-infected individuals}, series = {Journal of Neural Transmission}, volume = {120}, journal = {Journal of Neural Transmission}, doi = {10.1007/s00702-013-1086-x}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-132385}, pages = {1411-1419}, year = {2013}, abstract = {Dysfunction of dopaminergic neurotransmission has been implicated in HIV infection. We showed previously increased dopamine (DA) levels in CSF of therapy-na{\"i}ve HIV patients and an inverse correlation between CSF DA and CD4 counts in the periphery, suggesting adverse effects of high levels of DA on HIV infection. In the current study including a total of 167 HIV-positive and negative donors from Germany and South Africa (SA), we investigated the mechanistic background for the increase of CSF DA in HIV individuals. Interestingly, we found that the DAT 10/10-repeat allele is present more frequently within HIV individuals than in uninfected subjects. Logistic regression analysis adjusted for gender and ethnicity showed an odds ratio for HIV infection in DAT 10/10 allele carriers of 3.93 (95 \% CI 1.72-8.96; p = 0.001, Fishers exact test). 42.6 \% HIV-infected patients harbored the DAT 10/10 allele compared to only 10.5 \% uninfected DAT 10/10 carriers in SA (odds ratio 6.31), whereas 68.1 versus 40.9 \%, respectively, in Germany (odds ratio 3.08). Subjects homozygous for the 10-repeat allele had higher amounts of CSF DA and reduced DAT mRNA expression but similar disease severity compared with those carrying other DAT genotypes. These intriguing and novel findings show the mutual interaction between DA and HIV, suggesting caution in the interpretation of CNS DA alterations in HIV infection solely as a secondary phenomenon to the virus and open the door for larger studies investigating consequences of the DAT functional polymorphism on HIV epidemiology and progression of disease.}, language = {en} } @article{MolochnikovRabeyDobronevskyetal.2012, author = {Molochnikov, Leonid and Rabey, Jose M. and Dobronevsky, Evgenya and Bonuccelli, Ubaldo and Ceravolo, Roberto and Frosini, Daniela and Gr{\"u}nblatt, Edna and Riederer, Peter and Jacob, Christian and Aharon-Peretz, Judith and Bashenko, Yulia and Youdim, Moussa B. H. and Mandel, Silvia A.}, title = {A molecular signature in blood identifies early Parkinson's disease}, series = {Molecular Neurodegeneration}, volume = {7}, journal = {Molecular Neurodegeneration}, number = {26}, doi = {10.1186/1750-1326-7-26}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-134508}, year = {2012}, abstract = {Background: The search for biomarkers in Parkinson's disease (PD) is crucial to identify the disease early and monitor the effectiveness of neuroprotective therapies. We aim to assess whether a gene signature could be detected in blood from early/mild PD patients that could support the diagnosis of early PD, focusing on genes found particularly altered in the substantia nigra of sporadic PD. Results: The transcriptional expression of seven selected genes was examined in blood samples from 62 early stage PD patients and 64 healthy age-matched controls. Stepwise multivariate logistic regression analysis identified five genes as optimal predictors of PD: p19 S-phase kinase-associated protein 1A (odds ratio [OR] 0.73; 95\% confidence interval [CI] 0.60-0.90), huntingtin interacting protein-2 (OR 1.32; CI 1.08-1.61), aldehyde dehydrogenase family 1 subfamily A1 (OR 0.86; 95\% CI 0.75-0.99), 19 S proteasomal protein PSMC4 (OR 0.73; 95\% CI 0.60-0.89) and heat shock 70-kDa protein 8 (OR 1.39; 95\% CI 1.14-1.70). At a 0.5 cut-off the gene panel yielded a sensitivity and specificity in detecting PD of 90.3 and 89.1 respectively and the area under the receiving operating curve (ROC AUC) was 0.96. The performance of the five-gene classifier on the de novo PD individuals alone composing the early PD cohort (n = 38), resulted in a similar ROC with an AUC of 0.95, indicating the stability of the model and also, that patient medication had no significant effect on the predictive probability (PP) of the classifier for PD risk. The predictive ability of the model was validated in an independent cohort of 30 patients at advanced stage of PD, classifying correctly all cases as PD (100\% sensitivity). Notably, the nominal average value of the PP for PD (0.95 (SD = 0.09)) in this cohort was higher than that of the early PD group (0.83 (SD = 0.22)), suggesting a potential for the model to assess disease severity. Lastly, the gene panel fully discriminated between PD and Alzheimer's disease (n = 29). Conclusions: The findings provide evidence on the ability of a five-gene panel to diagnose early/mild PD, with a possible diagnostic value for detection of asymptomatic PD before overt expression of the disorder.}, language = {en} }