TY - JOUR A1 - Lee, Ching Hua A1 - Papić, Zlatko A1 - Thomale, Ronny T1 - Geometric construction of quantum Hall clustering Hamiltonians JF - Physical Review X N2 - Many fractional quantum Hall wave functions are known to be unique highest-density zero modes of certain "pseudopotential" Hamiltonians. While a systematic method to construct such parent Hamiltonians has been available for the infinite plane and sphere geometries, the generalization to manifolds where relative angular momentum is not an exact quantum number, i.e., the cylinder or torus, remains an open problem. This is particularly true for non-Abelian states, such as the Read-Rezayi series (in particular, the Moore-Read and Read-Rezayi Z\(_3\) states) and more exotic nonunitary (Haldane-Rezayi and Gaffnian) or irrational (Haffnian) states, whose parent Hamiltonians involve complicated many-body interactions. Here, we develop a universal geometric approach for constructing pseudopotential Hamiltonians that is applicable to all geometries. Our method straightforwardly generalizes to the multicomponent SU(n) cases with a combination of spin or pseudospin (layer, subband, or valley) degrees of freedom. We demonstrate the utility of our approach through several examples, some of which involve non-Abelian multicomponent states whose parent Hamiltonians were previously unknown, and we verify the results by numerically computing their entanglement properties. KW - wave functions KW - Landau level KW - states KW - excitations KW - fluid Y1 - 2015 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-145233 VL - 5 IS - 4 ER - TY - JOUR A1 - Molochnikov, Leonid A1 - Rabey, Jose M. A1 - Dobronevsky, Evgenya A1 - Bonuccelli, Ubaldo A1 - Ceravolo, Roberto A1 - Frosini, Daniela A1 - Grünblatt, Edna A1 - Riederer, Peter A1 - Jacob, Christian A1 - Aharon-Peretz, Judith A1 - Bashenko, Yulia A1 - Youdim, Moussa B. H. A1 - Mandel, Silvia A. T1 - A molecular signature in blood identifies early Parkinson's disease JF - Molecular Neurodegeneration N2 - 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. KW - cerebrospina KW - magnetic-resonance-spectroscopy KW - protein KW - biomarkers KW - E3 ubiquitin ligase KW - SCF KW - SKP1 KW - heat shock protein Hsc-70 KW - early diagnosis KW - fluid KW - alpha-synuclein KW - dehydrogenases KW - Alzheimer's disease KW - sporadic Parkinson's disease KW - blood biomarker KW - CSF KW - multiple system atrophy KW - clinical diagnosis KW - substantia nigra KW - gene expression Y1 - 2012 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-134508 VL - 7 IS - 26 ER -