High performance plasma amyloid-ß biomarkers for Alzheimer's disease.

To facilitate clinical trials of disease-modifying therapies for Alzheimer's disease, which are expected to be most efficacious at the earliest and mildest stages of the disease, supportive biomarker information is necessary. The only validated methods for identifying amyloid-ß deposition in the brain-the earliest pathological signature of Alzheimer's disease-are amyloid-ß positron-emission tomography (PET) imaging or measurement of amyloid-ß in cerebrospinal fluid. Therefore, a minimally invasive, cost-effective blood-based biomarker is desirable. Despite much effort, to our knowledge, no study has validated the clinical utility of blood-based amyloid-ß markers. Here we demonstrate the measurement of high-performance plasma amyloid-ß biomarkers by immunoprecipitation coupled with mass spectrometry. The ability of amyloid-ß precursor protein (APP)669-711/amyloid-ß (Aß)1-42 and Aß1-40/Aß1-42 ratios, and their composites, to predict individual brain amyloid-ß-positive or -negative status was determined by amyloid-ß-PET imaging and tested using two independent data sets: a discovery data set (Japan, n = 121) and a validation data set (Australia, n = 252 including 111 individuals diagnosed using 11C-labelled Pittsburgh compound-B (PIB)-PET and 141 using other ligands). Both data sets included cognitively normal individuals, individuals with mild cognitive impairment and individuals with Alzheimer's disease. All test biomarkers showed high performance when predicting brain amyloid-ß burden. In particular, the composite biomarker showed very high areas under the receiver operating characteristic curves (AUCs) in both data sets (discovery, 96.7%, n = 121 and validation, 94.1%, n = 111) with an accuracy approximately equal to 90% when using PIB-PET as a standard of truth. Furthermore, test biomarkers were correlated with amyloid-ß-PET burden and levels of Aß1-42 in cerebrospinal fluid. These results demonstrate the potential clinical utility of plasma biomarkers in predicting brain amyloid-ß burden at an individual level. These plasma biomarkers also have cost-benefit and scalability advantages over current techniques, potentially enabling broader clinical access and efficient population screening.

Neuroimaging biomarkers of glial activation for predicting the annual cognitive function decline in patients with Alzheimer's disease.

BACKGROUND: Glial activation is central to the pathogenesis of Alzheimer's disease (AD). However, researchers have not demonstrated its relationship to longitudinal cognitive deterioration. We aimed to compare the prognostic effects of baseline positron emission tomography (PET) imaging of glial activation and amyloid/tau pathology on the successive annual cognitive decline in patients with AD. METHODS: We selected 17 patients diagnosed with mild cognitive impairment or AD. We assessed the annual changes in global cognition and memory. Furthermore, we assessed the predictive effects of baseline amyloid and tau pathology indicated by cerebrospinal fluid (CSF) concentrations and PET imaging of glial activation (11C-DPA-713-binding potential in the area of Braak 1-3 [11C-DPA-713-BPND]) on global cognition and memory using a stepwise regression analysis. RESULTS: The final multiple regression model of annual changes in global cognition and memory scores included 11C-DPA-713-BPND as the predictor. The CSF Aß42/40 ratios and p-tau concentrations were removed from the final model. In stepwise Bayesian regression analysis, the Bayes factor-based model comparison suggested that the best model included 11C-DPA-713-BPND as the predictor of decline in global cognition and memory. CONCLUSIONS: Translocator protein-PET imaging of glial activation is a stronger predictor of AD clinical progression than the amount of amyloid/tau pathology measured using CSF concentrations. Glial activation is the primary cause of tau-induced neuronal toxicity and cognitive deterioration, thereby highlighting the potential of blocking maladaptive microglial responses as a therapeutic strategy for AD treatment.

Development of a novel PET ligand, [11C]GO289 targeting CK2 expressed in the brain.

Positron emission tomography (PET) is a powerful imaging tool that enables early in vivo detection of Alzheimer's disease (AD). For this purpose, various PET ligands have been developed to image ß-amyloid and tau protein aggregates characteristically found in the brain of AD patients. In this study, we initiated to develop another type of PET ligand that targets protein kinase CK2 (formerly termed as casein kinase II), because its expression level is known to be altered in postmortem AD brains. CK2 is a serine/threonine protein kinase, an important component of cellular signaling pathways that control cellular degeneration. In AD, the CK2 level in the brain is thought to be elevated by its involvement in both phosphorylation of proteins such as tau and neuroinflammation. Decreased CK2 activity and expression levels lead to ß-amyloid accumulation. In addition, since CK2 also contributes to the phosphorylation of tau protein, the expression level and activity of CK2 is expected to undergo significant changes during the progression of AD pathology. Furthermore, CK2 could act as a potential target for modulating the inflammatory response in AD. Therefore, PET imaging targeting CK2 expressed in the brain could be a useful another imaging biomarker for AD. We synthesized and radiolabeled a CK2 inhibitor, [11C]GO289, in high yields from its precursor and [11C]methyl iodide under basic conditions. On autoradiography, [11C]GO289 specifically bound to CK2 in both rat and human brain sections. On baseline PET imaging, this ligand entered and rapidly washed out of the rat brain with its peak activity rather being small (SUV < 1.0). However, on blocking, there was no detectable CK2 specific binding signal. Thus, [11C]GO289 may be useful in vitro but not so in vivo in its current formulation. The lack of detectable specific binding signal in the latter may be due to a relatively high component of nonspecific binding signal in the overall rather weak PET signal, or it may also be related to the known fact that ATP can competitively binds to subunits of CK2, reducing its availability for this ligand. In the future, it will be necessary for PET imaging of CK2 to try out different non-ATP competitive formulations of CK2 inhibitor that can also provide significantly higher in vivo brain penetration.

11C-Labeling of acyclic retinoid peretinoin by rapid C-[11C]methylation to disclose novel brain permeability and central nervous system activities hidden in antitumor agent.

Recently, retinoid actions on the central nervous system (CNS) have attracted considerable attention from the perspectives of brain disease diagnosis and drug development. Firstly, we successfully synthesized [11C]peretinoin esters (methyl, ethyl, and benzyl) using a Pd(0)-mediated rapid C-[11C]methylation of the corresponding stannyl precursors without geometrical isomerization in 82%, 66%, and 57% radiochemical yields (RCYs). Subsequent hydrolysis of the 11C-labeled ester produced [11C]peretinoin in 13 ± 8% RCY (n = 3). After pharmaceutical formulation, the resulting [11C]benzyl ester and [11C]peretinoin had high radiochemical purity (>99% each) and molar activities of 144 and 118 ± 49 GBq µmol-1 at total synthesis times of 31 min and 40 ± 3 min, respectively. Rat brain PET imaging for the [11C]ester revealed a unique time-radioactivity curve, suggesting the participation of the acid [11C]peretinoin for the brain permeability. However, the curve of the [11C]peretinoin rose steadily after a shorter time lag to reach 1.4 standardized uptake value (SUV) at 60 min. These various phenomena between the ester and acid became more pronounced in the monkey brain (SUV of > 3.0 at 90 min). With the opportunity to identify high brain uptake of [11C]peretinoin, we discovered CNS activities of a drug candidate called peretinoin, such as the induction of a stem-cell to neuronal cell differentiation and the suppression of neuronal damages.

Computer-based cognitive tests and cerebral pathology among Japanese older adults.

BACKGROUND: This study aimed to identify the appropriate computer-based cognitive tests and cut-off values for estimating amyloid burden in preclinical Alzheimer's disease drug trials. METHODS: Data from 103 older individuals, who underwent 18F-florbetapir positron emission tomography and cognitive testing, were analyzed. Cognitive tests evaluated word list memory (immediate recognition and delayed recall), attention (Trail Making Test-part A), executive function (Trail Making Test-Part B), and processing speed (Digit Symbol Substitution Test [DSST]). RESULTS: The Aß burden was significantly associated with word list memory (odds ratio [OR] = 0.42, 95% confidence interval [CI], 0.19-0.91) and DSST (OR = 0.35; 95% CI, 0.14-0.85). Positive predictive value and number needed to screen at a cut-off of 1.5 SD were better for word list memory and DSST among predictive values. CONCLUSIONS: The computer-based memory and processing speed tests have the potential to reduce failure rates while screening individuals with Aß accumulation in community settings.

Involvement of inflammation in the medial temporal region in the development of agitation in Alzheimer's disease: an in vivo positron emission tomography study.

BACKGROUND: The evaluation of 11 C-DPA-713 binding using positron emission tomography for quantifying the translocator protein can be a sensitive approach in determining the level of glial activation induced by neuroinflammation. Herein, we aimed to investigate the relationship between regional 11 C-DPA713-binding potential (BPND ) and neuropsychiatric symptoms (NPS) in amyloid-positive Alzheimer's disease (AD) patients. METHODS: Fifteen AD patients were enrolled in this study. Correlations were evaluated between the 11 C-DPA713-BPND and Neuropsychiatric Inventory Questionnaire (NPI-Q) scores, including scores in its four domains: agitation, psychosis, affective, and apathy. 11 C-DPA713-BPND values were compared between groups with and without the neuropsychiatric symptoms for which a relationship was observed in the abovementioned correlation analysis. RESULTS: A positive correlation was found between the severity of agitation and 11 C-DPA713-BPND in the Braak 1-3 area, including the amygdala, hippocampal and parahippocampal regions, and lingual and fusiform areas. An increase in the 11 C-DPA713-BPND was observed in AD patients with agitation. We did not find any significant effects of possible confounding factors, such as age, duration of illness, education, gender, Mini-Mental State Examination score, cerebrospinal fluid amyloid ß 42/40 ratio, and apolipoprotein E4 positivity, on either the 11 C-DPA713-BPND or agitation score. CONCLUSIONS: Neuroinflammation in the medial temporal region and its neighbouring area was shown to be associated with the development of agitation symptoms in AD patients. Our findings extend those of previous studies showing an association between some NPS and inflammation, suggesting that immunologically based interventions for agitation can serve as an alternative treatment for dementia.

[11C]NCGG401, a novel PET ligand for imaging of colony stimulating factor 1 receptors.

Colony-stimulating factor 1 receptors (CSF1R) are expressed exclusively on microglia in the central nervous system. The receptors regulate immune responses by controlling the survival and activity of microglia and are intricately involved in the pathophysiology of Alzheimer's disease. In this study, we developed [11C]NCGG401, a positron emission tomography (PET) ligand, targeting for CSF1R as an imaging biomarker for microglial pathophysiology in Alzheimer's disease. NCGG401 showed a high potency to inhibit human CSF1R kinase activity and a high binding affinity to human CSF1R. PET imaging with [11C]NCGG401 in healthy rats showed a good brain permeability. Furthermore, the specific binding component was determined by postmortem autoradiography in rat brain and human hippocampal sections. The knowledge of the characteristics of [11C]NCCC401, our initial CSF1R compound, we have obtained may be useful for further development and optimization of CSF1R radioligands for PET imaging of microglia.

A new educational tool for neuropsychological test raters in the dementia field: A Delphi study.

BACKGROUND: Neuropsychological testing is the primary endpoint of clinical research in the field of dementia, making it essential for the rater to accurately calculate test data for an extensive assessment. However, many raters lack adequate skill to complete neuropsychological tests with sufficient confidence. Therefore, we developed and examined the utility of a checklist and a manual as tools for educating raters on their basic behaviours when conducting comprehensive neuropsychological evaluations in the field of dementia. METHODS: We conducted a seven-step comprehensive study to develop rater training tools and examine their usefulness between April 2019 and February 2021 involving: 1. Development of a draft checklist, 2. Delphi review rounds, 3. Design of the final checklist, 4. Item weighting, 5. Examination of reliability, 6. Creating the manual, and 7. Examination of the usefulness of learning through rater educational tools (checklist and manual). RESULTS: The Delphi review round led to a highly reliable and valid checklist and manual. The total checklist score improved significantly (t = 2.37, P = 0.029) before and after manual learning. We found that the appropriate basic behaviours required by the rater to conduct neuropsychological testing skilfully within the dementia field could be acquired with this tool. CONCLUSIONS: Using a robust development process, we integrated expert knowledge and experience, and developed a checklist and a manual for learning the basic behaviours of neuropsychological test raters in the field of dementia. Establishing standards of basic behaviour for neuropsychological raters will help promote dementia research and advances in medicine.

Network-based meta-analysis and the candidate gene association studies reveal novel ethnicity-specific variants in MFSD3 and MRPL43 associated with dementia with Lewy bodies.

Dementia with Lewy bodies (DLB) is the second most common form of neurodegenerative dementia in elderly people, following Alzheimer's disease. Only three genes, SNCA (α-synuclein), APOE (apolipoprotein E), and GBA (glucosylceramidase), have been convincingly demonstrated to be associated with DLB. Here, we applied whole-genome sequencing to blood samples from 61 DLB patients and 45 cognitively normal controls. We used accumulation of candidate mutations to detect novel DLB-associated genes. Subsequent single nucleotide polymorphism (SNP) genotyping and association studies in a large number of samples from Japanese individuals revealed novel heterozygous variants in MFSD3 (rs143475431, c.888T>A:p.C296*; n = 5,421, p = 0.00063) and MRPL43 (chr10:102746730, c.241A>C:p.N81H; n = 4,782, p = 0.0029). We further found that the MFSD3 variant increased plasma levels of butyrylcholinesterase (n = 1,206, p = 0.029). We believe that our findings will contribute to the understanding of DLB and provide insight into its pathogenic mechanism for future studies.

Improved Prediction of Carbonless NMR Spectra by the Machine Learning of Theoretical and Fragment Descriptors for Environmental Mixture Analysis.

As the first multidimensional NMR approach, 2D J-resolved (2DJ) spectroscopy is distinguished by signal resolution and detection sensitivity with remarkable advantages for the exhaustive evaluation of complex mixtures and environmental samples due to its carbonless feature without the requirement of 13C connectivity. Generally, the 2DJ signal assignment of metabolic mixtures is problematic in spite of references to experimental NMR databases, owing to the existence of metabolic "dark matter." In this study, a new method to predict 2DJ spectra was developed with a combination of quantum mechanical (QM) computation and machine learning (ML). The predictive accuracy of J-coupling constants was evaluated using validated data. The root-mean-square deviation (RMSD) for QM computation was 3.52 Hz, while the RMSD for QM + ML was 1.21 Hz, indicating a substantial increase in predictive accuracy. The proposed model was applied to predict the 2DJ spectra of 60 standard substances and 55 components of seawater. Furthermore, two practical environmental samples were used to evaluate the robustness of the constructed predictive model. A J-coupling tree and J-split spectra produced from QM + ML of aliphatic moieties had good consistency with the experimental data, as compared with the theoretical data produced by QM computation. The predicted J-coupling tree for the J-coupling multiplet analysis of freely rotating bonds in the complex mixture, which is traditionally difficult, was interpretable. In addition, in silico identification of the J-split 1H NMR signals, which was independent of experimental databases, aided in the discovery of new components in a mixture.

IMRT improves local control in patients with nasopharyngeal carcinoma compared with conventional radiotherapy: propensity score-matched analysis.

BACKGROUND: It is still controversial whether intensity-modulated radiotherapy has an obvious advantage over conventional radiotherapy. The purposes of this study were to evaluate prognostic factors in pre-treatment characteristics for nasopharyngeal carcinoma and to compare treatment outcomes in patients who received intensity-modulated radiotherapy and patients who received two-dimensional radiotherapy or three-dimensional radiotherapy. METHODS: We reviewed patients with nasopharyngeal carcinoma who received chemoradiotherapy in our hospital during the period from 2000 to 2017, and we excluded patients who had a history of surgery for nasopharyngeal carcinoma and those who had distant metastases before treatment. A total of 72 patients who were treated by radiotherapy with concurrent chemotherapy were enrolled. All of the patients were irradiated with a total dose of 58-70 Gy. Overall survival, locoregional control and progression-free survival rates were compared in the groups treated by intensity-modulated radiotherapy and two-dimensional/three-dimensional radiotherapy. Propensity score matching was performed to homogenize the two groups. RESULTS: The median follow-up period was 62.5 months. After propensity score matching, in patients treated with intensity-modulated radiotherapy, the 5-year rate of overall survival, locoregional control and progression-free survival were 73.5, 95.2 and 72.7%, respectively. In patients treated with two-dimensional/three-dimensional radiotherapy, the 5-year rate of overall survival, locoregional control and progression-free survival were 69.1, 67.7 and 51.8%, respectively. There was a significant difference between the groups only in locoregional control. Late toxicities of grade 2 or higher were occurred in 38.5 and 24.2% of the patients treated by two-dimensional/three-dimensional radiotherapy and intensity-modulated radiotherapy, respectively. CONCLUSIONS: Our results suggested that intensity-modulated radiotherapy is more effective than two-dimensional/three-dimensional radiotherapy in patients with nasopharyngeal carcinoma, especially in locoregional control.

An evaluation of the amyloid cascade model using in vivo positron emission tomographic imaging.

AIM: The amyloid cascade hypothesis posits that the accumulation of amyloid ß (Aß) is the triggering factor for Alzheimer's disease, which consecutively induces aggregation of tau, synaptic loss, and cell death. Most experimental and clinical evidence supports this model, but the available data are largely qualitative. Here, we tested the amyloid cascade hypothesis by using in vivo evaluation of positron emission tomography and magnetic resonance imaging. METHODS: Path analysis was used to estimate the relationships among Aß accumulation (PiB standardized uptake value ratio (SUVR)), tau aggregation and its related neuroinflammation (THK5351 SUVR), grey matter atrophy in the medial temporal region, and memory function in Aß-positive subjects. We also performed additional regression analyses to evaluate the effect of Aß on the toxicity of tau aggregation/neuroinflammation. RESULTS: Path analysis supported our hypothesized model: Aß accumulation affected tau aggregation/neuroinflammation in the medial temporal region, and these pathological changes caused of the grey matter atrophy and memory dysfunction. In separate regression analyses, THK5351 SUVR had a significant effect on grey matter atrophy only in PiB-positive subjects. The analysis of the interaction effect showed that the effects of THK5351 SUVR on grey matter atrophy were significantly different between PiB-positive and PiB-negative groups. When we included the effect of being an apolipoprotein E ε4 carrier as a covariate, the interaction effect remained significant. CONCLUSION: Our in vivo evaluation of positron emission tomographic and magnetic resonance imaging data supported the amyloid cascade hypothesis. In addition, it indicated that Aß not only accelerates tau aggregation/neuroinflammation but promotes its toxicity. Our findings showed the importance of understanding the role and therapeutic potential of the interaction between amyloid and tau aggregation/neuroinflammation in Alzheimer's disease.

Diagnostic accuracy of DAT-SPECT and MIBG scintigraphy for dementia with Lewy bodies: an updated systematic review and Bayesian latent class model meta-analysis.

PURPOSE: Imperfect clinical reference standards can preclude accurately estimating the diagnostic accuracy of DAT-SPECT and MIBG myocardial scintigraphy for diagnosing DLB. To investigate the validity of unadjusted accuracy, we updated our previous meta-analysis. METHODS: Literature search was updated to March 18, 2018. We also examined published systematic review reports. Two investigators extracted data and rated study validity using the QUADAS-2 tool. We performed a Bayesian latent class model meta-analysis accounting for imperfect reference standards. RESULTS: We evaluated 27 studies including 2236 patients. With the exception of two DAT-SPECT studies that involved postmortem neuropathological verification, studies were susceptible to bias from imperfect reference standards. Compared with the unadjusted accuracy estimates, the adjusted sensitivity values were similar, whereas the adjusted specificity values were generally lower for detecting α-synuclein pathology in the brain. The adjusted summary sensitivity and specificity were 0.86 (95% credible interval [CrI], 0.76-0.95) and 0.81 (CrI, 0.70-0.92), and 0.93 (CrI, 0.74-1.00) and 0.75 (CI, 0.47-0.94) for visual and semi-quantitative assessments of DAT-SPECT, respectively; 0.92 (CrI, 0.81-0.99) and 0.80 (CrI, 0.67-0.93), and 0.87 (CrI, 0.74-0.98) and 0.80 (CrI, 0.69-0.93), for delayed- and early-phase scans of MIBG scintigraphy, respectively. When diagnosing the typical clinical syndrome, the adjusted accuracy values were similar to the unadjusted estimates. The adjusted sensitivity and specificity were 0.89 (CrI, 0.75-0.98) and 0.87 (CrI, 0.72-0.97), and 0.97 (CrI, 0.78-1.0) and 0.70 (CrI, 0.43-0.92) for visual and semi-quantitative assessments of DAT-SPECT, respectively; and 0.93 (CrI, 0.81-0.98) and 0.90 (CrI, 0.73-0.97), and 0.85 (CrI, 0.66-0.96) and 0.96 (95% CI, 0.83-1.0) for delayed- and early-phase scans of MIBG scintigraphy, respectively. CONCLUSIONS: In our adjusted analyses, both imaging biomarkers had high diagnostic accuracy for detecting the hallmark pathology in the brain and for diagnosing the typical clinical syndrome.

Differences in biofilm formation and transcription of biofilm-associated genes among Acinetobacter baumannii clinical strains belonging to the international clone II lineage.

Acinetobacter baumannii isolates belonging to international clonal lineage (IC) II are often multidrug-resistant and are the predominant cause of nosocomial outbreaks. While many studies have investigated the genetic and functional basis of antimicrobial resistance of these strains, few have examined specific virulence characteristics such as biofilm formation or overall pathogenic potential. Here, we analyzed biofilm formation and the associated mechanisms in A. baumannii clinical isolates from Japan belonging to the IC II lineage. Draft whole-genome sequence data for each of the isolates was analyzed to detect biofilm-associated genes, including csu (pili) and bfmS/R (two-component regulatory system), and transcription of these genes was evaluated using reverse transcription quantitative PCR. Biofilm formation was measured by crystal violet staining assay. csu operon genes showed some variation in prevalence among the isolates, with an overall prevalence of 73.7% (14/19). The biofilms formed by csu operon-positive isolates were significantly more mature than those of csu operon-negative isolates, supporting the importance of the csu operon in biofilm formation by A. baumannii. However, there was substantial variation among the csu operon-positive isolates, indicating the influence of other factors in biofilm formation. Furthermore, transcriptional levels of csu operon genes were highly divergent, with comprehensive analysis indicating that regulatory factors other than bfmS/R were involved. Our findings are a first step towards understanding the mechanisms of biofilm formation by A. baumannii IC II strains.

NMR-TS: de novo molecule identification from NMR spectra.

Nuclear magnetic resonance (NMR) spectroscopy is an effective tool for identifying molecules in a sample. Although many previously observed NMR spectra are accumulated in public databases, they cover only a tiny fraction of the chemical space, and molecule identification is typically accomplished manually based on expert knowledge. Herein, we propose NMR-TS, a machine-learning-based python library, to automatically identify a molecule from its NMR spectrum. NMR-TS discovers candidate molecules whose NMR spectra match the target spectrum by using deep learning and density functional theory (DFT)-computed spectra. As a proof-of-concept, we identify prototypical metabolites from their computed spectra. After an average 5451 DFT runs for each spectrum, six of the nine molecules are identified correctly, and proximal molecules are obtained in the other cases. This encouraging result implies that de novo molecule generation can contribute to the fully automated identification of chemical structures. NMR-TS is available at https://github.com/tsudalab/NMR-TS.

Large-Scale Evaluation of Major Soluble Macromolecular Components of Fish Muscle from a Conventional 1H-NMR Spectral Database.

Conventional proton nuclear magnetic resonance (1H-NMR) has been widely used for identification and quantification of small molecular components in food. However, identification of major soluble macromolecular components from conventional 1H-NMR spectra is difficult. This is because the baseline appearance is masked by the dense and high-intensity signals from small molecular components present in the sample mixtures. In this study, we introduced an integrated analytical strategy based on the combination of additional measurement using a diffusion filter, covariation peak separation, and matrix decomposition in a small-scale training dataset. This strategy is aimed to extract signal profiles of soluble macromolecular components from conventional 1H-NMR spectral data in a large-scale dataset without the requirement of re-measurement. We applied this method to the conventional 1H-NMR spectra of water-soluble fish muscle extracts and investigated the distribution characteristics of fish diversity and muscle soluble macromolecular components, such as lipids and collagens. We identified a cluster of fish species with low content of lipids and high content of collagens in muscle, which showed great potential for the development of functional foods. Because this mechanical data processing method requires additional measurement of only a small-scale training dataset without special sample pretreatment, it should be immediately applicable to extract macromolecular signals from accumulated conventional 1H-NMR databases of other complex gelatinous mixtures in foods.

Polarimetry of a single-order circularly polarized high harmonic separated by a time-delay compensated monochromator.

Monochromatic elliptically polarized (CP) ultrashort extreme ultraviolet (EUV) light source with higher ellipticity than 0.80 is developed for the investigation of molecular chirality and electromagnetic phenomena. Elliptically polarized 47-nm high harmonic (HH) is monochromatized from the comb spectrum of HHs by a time-delay compensated monochromator (TDCM) consisting of a pair of Pt-coated toroidal gratings. The ellipticity of EUV light, which is higher than 0.10 at high harmonic generation, is compensated by the anisotropies of the diffraction efficiency and of the phase shift of the toroidal gratings. The degree of polarization is also improved by the diffraction on the gratings. Prior to the polarization compensation, the unknown optical parameters of the toroidal grating at 47 and 50 nm were determined using CP light source and Mueller matrices. The optical parameters were found to be close to those of coated substance Pt. The single-order CP HH light source will be versatile both for spectroscopy and for diffractive imaging.

Synthesis of (R,S)-isoproterenol, an inhibitor of tau aggregation, as an 11C-labeled PET tracer via reductive alkylation of (R,S)-norepinephrine with [2-11C]acetone.

(R,S)-Isoproterenol inhibits the formation of toxic granular tau oligomers associated with neuronal loss and development of cognitive disorders, and is an attractive drug candidate for Alzheimer's disease. To elucidate its behavior in the brain by positron emission tomography, we synthesize (R,S)-[11C]isoproterenol by reductive alkylation of (R,S)-norepinephrine with [2-11C]acetone, which was in turn synthesized in situ under improved conditions afforded a decay-corrected radiochemical yield of 54%. The reductive alkylation using NaBH(OAc)3 as reducing agent in the presence of benzoic acid in DMSO/DMF (60:40 v/v) at 100 °C for 10 min gave (R,S)-[11C]isoproterenol in an 87% radio-high performance liquid chromatography (HPLC) analytical yield. HPLC separation using a strong cation exchange column, followed by pharmaceutical formulation in the presence of d/l-tartaric acid, afforded (R,S)-[11C]isoproterenol with a total radioactivity of 2.0 ±â€¯0.2 GBq, a decay-corrected radiochemical yield of 19 ±â€¯2%, chemical and radiochemical purities of 71% and >99%, respectively, and a molar activity of 100 ±â€¯13 GBq/µmol (n = 3). The overall synthesis time from the end of the bombardment to pharmaceutical formulation was 48 min. A preliminary preclinical PET study in a rat demonstrated the potential of the radioligand for the evaluation of the penetration of (R,S)-isoproterenol in human brain.

Electromagnetic signatures of the preclinical and prodromal stages of Alzheimer's disease.

Biomarkers useful for the predementia stages of Alzheimer's disease are needed. Electroencephalography and magnetoencephalography (MEG) are expected to provide potential biomarker candidates for evaluating the predementia stages of Alzheimer's disease. However, the physiological relevance of EEG/MEG signal changes and their role in pathophysiological processes such as amyloid-ß deposition and neurodegeneration need to be elucidated. We evaluated 28 individuals with mild cognitive impairment and 38 cognitively normal individuals, all of whom were further classified into amyloid-ß-positive mild cognitive impairment (n = 17, mean age 74.7 ± 5.4 years, nine males), amyloid-ß-negative mild cognitive impairment (n = 11, mean age 73.8 ± 8.8 years, eight males), amyloid-ß-positive cognitively normal (n = 13, mean age 71.8 ± 4.4 years, seven males), and amyloid-ß-negative cognitively normal (n = 25, mean age 72.5 ± 3.4 years, 11 males) individuals using Pittsburgh compound B-PET. We measured resting state MEG for 5 min with the eyes closed, and investigated regional spectral patterns of MEG signals using atlas-based region of interest analysis. Then, the relevance of the regional spectral patterns and their associations with pathophysiological backgrounds were analysed by integrating information from Pittsburgh compound B-PET, fluorodeoxyglucose-PET, structural MRI, and cognitive tests. The results demonstrated that regional spectral patterns of resting state activity could be separated into several types of MEG signatures as follows: (i) the effects of amyloid-ß deposition were expressed as the alpha band power augmentation in medial frontal areas; (ii) the delta band power increase in the same region was associated with disease progression within the Alzheimer's disease continuum and was correlated with entorhinal atrophy and an Alzheimer's disease-like regional decrease in glucose metabolism; and (iii) the global theta power augmentation, which was previously considered to be an Alzheimer's disease-related EEG/MEG signature, was associated with general cognitive decline and hippocampal atrophy, but was not specific to Alzheimer's disease because these changes could be observed in the absence of amyloid-ß deposition. The results suggest that these MEG signatures may be useful as unique biomarkers for the predementia stages of Alzheimer's disease.

Japanese and North American Alzheimer's Disease Neuroimaging Initiative studies: Harmonization for international trials.

INTRODUCTION: We conducted Japanese Alzheimer's Disease Neuroimaging Initiative (J-ADNI) and compared the basic characteristics and progression profiles with those of ADNI in North America. METHODS: A total of 537 Japanese subjects with normal cognition, late amnestic mild cognitive impairment (LMCI), or mild Alzheimer's disease (AD) were enrolled using the same criteria as ADNI. Rates of changes in representative cognitive or functional measures were compared for amyloid positron emission tomography- or cerebrospinal fluid amyloid ß(1-42)-positive LMCI and mild AD between J-ADNI and ADNI. RESULTS: Amyloid positivity rates were significantly higher in normal cognition of ADNI but at similar levels in LMCI and mild AD between J-ADNI and ADNI. Profiles of decline in cognitive or functional measures in amyloid-positive LMCI in J-ADNI (n = 75) and ADNI (n = 269) were remarkably similar, whereas those in mild AD were milder in J-ADNI (n = 73) compared with ADNI (n = 230). DISCUSSION: These results support the feasibility of bridging of clinical trials in the prodromal stage of AD between Asia and western countries.