In Vitro Assessment of the In Vivo Stability of Cu-64 Radiopharmaceuticals

Research Plans: The successful development of Cu-64 radiopharmaceuticals depends upon retention of the Cu-64 atom in the radiopharmaceutical. To date, the focus has been on the development of chelators that better retain Cu-64, but there has been no effort to develop an effective method by which improved retention may be measured. In the absence of a suitable analytical method, the stability of Cu-64 radiopharmaceuticals is estimated indirectly, with decreased liver uptake suggesting higher in vivo complex stability. But this approach is inadequate for radiopharmaceuticals, such as radiolabeled antibodies, that are expected to accumulate in the liver even when there is no free Cu-64 present. The absence of such a method has also hampered efforts to systematically evaluate the chemical factors that may give rise to improved retention. The objective of this project is to develop and validate such a method. Accomplishments: The two primary accomplishments of this project will be 1) the development and validation of a method to measure the stability of Cu-64 radiopharmaceuticals and 2) the determination of the chemical factors that define the in vivo stability of Cu 64 radiopharmaceuticals. Because Cu(II) is extremely labile, the in vivo stability of Cu-64 radiopharmaceuticals is not primarily determined by the amount of âÃÂÃÂfreeâÃÂàCu that is present at any given time or by the thermodynamic stability constants, but rather by the rate at which Cu is lost from the complex, the dissociation rate constant, kd. The dissociation rate constants of the Cu-64 complexes from a series of bifunctional chelators (BFCs) will be measured using Free Ion Selective Radiotracer Extraction (FISRE), a technique originally developed to measure bioavailable Cu in environmental samples. FISRE will also be applied to the determination of the kdâÃÂÃÂs of a series of reference Cu-64 complexes to determine the chemical factors that define the in vivo stability of Cu-64 radiopharmaceuticals. Potential Benefits: The FISRE method that will be used in this project, once validated, will provide researchers with a core technology by which the stability of Cu 64 radiopharmaceuticals can be accurately measured. In the short-term, we expect to produce extensive data regarding the stability of Cu-64 complexes of ligands of radiopharmaceutical interest, primarily those that are most commonly used as BFCs (e.g., DOTA, TETA). These data will provide a quantitative basis for deciding which ligands may be best suited for use as BFCs, data that is not currently available. In the intermediate term, we expect that these results will facilitate the development of new Cu-64 radiopharmaceuticals by providing a quantitative approach to assessing the stability of Cu-64 chelates. This innovative methodology will enable investigators to quantitatively compare the ability of different BFCs to retain Cu-64 in vivo. The benefits of this approach will be best seen in the development of Cu-64-labeled monoclonal antibodies where the accumulation of antibodies in the liver obviates liver uptake as an effective surrogate measure of Cu-64 lability. In the longer-term, we anticipate an improvement in the way in which various diseases (especially cancer) are detected, diagnosed, staged, and treated. This method will also enable researchers to distinguish differences in biodistribution that may arise from differences in charge, lipophilicity, etc. from those that may arise from loss of Cu-64 from the chelator. Last, this novel quantitative tool will allow investigators to evaluate the chemical factors that determine the in vivo stability of Cu-64 radiopharmaceuticalsâÃÂÃÂlaying the groundwork for the future development of more effective Cu-64 radiopharmaceuticals. Once the feasibility of this method is established, it can also be used to evaluate the stability of other metalloradiopharmaceuticals including those based on Ga-68, a radionuclide that is showing great promise in tumor imaging

Natriuretic peptides and integrated risk assessment for cardiovascular disease: an individual-participant-data meta-analysis

BACKGROUND: Guidelines for primary prevention of cardiovascular diseases focus on prediction of coronary heart disease and stroke. We assessed whether or not measurement of N-terminal-pro-B-type natriuretic peptide (NT-proBNP) concentration could enable a more integrated approach than at present by predicting heart failure and enhancing coronary heart disease and stroke risk assessment. METHODS: In this individual-participant-data meta-analysis, we generated and harmonised individual-participant data from relevant prospective studies via both de-novo NT-proBNP concentration measurement of stored samples and collection of data from studies identified through a systematic search of the literature (PubMed, Scientific Citation Index Expanded, and Embase) for articles published up to Sept 4, 2014, using search terms related to natriuretic peptide family members and the primary outcomes, with no language restrictions. We calculated risk ratios and measures of risk discrimination and reclassification across predicted 10 year risk categories (ie, <5%, 5% to <7·5%, and ≥7·5%), adding assessment of NT-proBNP concentration to that of conventional risk factors (ie, age, sex, smoking status, systolic blood pressure, history of diabetes, and total and HDL cholesterol concentrations). Primary outcomes were the combination of coronary heart disease and stroke, and the combination of coronary heart disease, stroke, and heart failure. FINDINGS: We recorded 5500 coronary heart disease, 4002 stroke, and 2212 heart failure outcomes among 95 617 participants without a history of cardiovascular disease in 40 prospective studies. Risk ratios (for a comparison of the top third vs bottom third of NT-proBNP concentrations, adjusted for conventional risk factors) were 1·76 (95% CI 1·56-1·98) for the combination of coronary heart disease and stroke and 2·00 (1·77-2·26) for the combination of coronary heart disease, stroke, and heart failure. Addition of information about NT-proBNP concentration to a model containing conventional risk factors was associated with a C-index increase of 0·012 (0·010-0·014) and a net reclassification improvement of 0·027 (0·019-0·036) for the combination of coronary heart disease and stroke and a C-index increase of 0·019 (0·016-0·022) and a net reclassification improvement of 0·028 (0·019-0·038) for the combination of coronary heart disease, stroke, and heart failure. INTERPRETATION: In people without baseline cardiovascular disease, NT-proBNP concentration assessment strongly predicted first-onset heart failure and augmented coronary heart disease and stroke prediction, suggesting that NT-proBNP concentration assessment could be used to integrate heart failure into cardiovascular disease primary prevention. FUNDING: British Heart Foundation, Austrian Science Fund, UK Medical Research Council, National Institute for Health Research, European Research Council, and European Commission Framework Programme 7

Retinal lipid and glucose metabolism dictates angiogenesis through the lipid sensor Ffar1

Tissues with high metabolic rates often use lipids, as well as glucose, for energy, conferring a survival advantage during feast and famine1. Current dogma suggests that high-energy–consuming photoreceptors depend on glucose2, 3. Here we show that the retina also uses fatty acid β-oxidation for energy. Moreover, we identify a lipid sensor, free fatty acid receptor 1 (Ffar1), that curbs glucose uptake when fatty acids are available. Very-low-density lipoprotein receptor (Vldlr), which is present in photoreceptors4 and is expressed in other tissues with a high metabolic rate, facilitates the uptake of triglyceride-derived fatty acid5, 6. In the retinas of Vldlr−/− mice with low fatty acid uptake6 but high circulating lipid levels, we found that Ffar1 suppresses expression of the glucose transporter Glut1. Impaired glucose entry into photoreceptors results in a dual (lipid and glucose) fuel shortage and a reduction in the levels of the Krebs cycle intermediate α-ketoglutarate (α-KG). Low α-KG levels promotes stabilization of hypoxia-induced factor 1a (Hif1a) and secretion of vascular endothelial growth factor A (Vegfa) by starved Vldlr−/− photoreceptors, leading to neovascularization. The aberrant vessels in the Vldlr−/− retinas, which invade normally avascular photoreceptors, are reminiscent of the vascular defects in retinal angiomatous proliferation, a subset of neovascular age-related macular degeneration (AMD)7, which is associated with high vitreous VEGFA levels in humans. Dysregulated lipid and glucose photoreceptor energy metabolism may therefore be a driving force in macular telangiectasia, neovascular AMD and other retinal diseases

Genome of the Netherlands population-specific imputations identify an ABCA6 variant associated with cholesterol levels

This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. Acknowledgements: We especially thank all volunteers who participated in our study. This study made use of data generated by the ‘Genome of the Netherlands’ project, which is funded by the Netherlands Organization for Scientific Research (grant no. 184021007). The data were made available as a Rainbow Project of BBMRI-NL. Samples were contributed by LifeLines (http://lifelines.nl/lifelines-research/general), the Leiden Longevity Study (http://www.healthy-ageing.nl; http://www.langleven.net), the Netherlands Twin Registry (NTR: http://www.tweelingenregister.org), the Rotterdam studies (http://www.erasmus-epidemiology.nl/rotterdamstudy) and the Genetic Research in Isolated Populations programme (http://www.epib.nl/research/geneticepi/research.html#gip). The sequencing was carried out in collaboration with the Beijing Institute for Genomics (BGI). Cardiovascular Health Study: This CHS research was supported by NHLBI contracts HHSN268201200036C, HHSN268200800007C, HHSN268200960009C, N01HC55222, N01HC85079, N01HC85080, N01HC85081, N01HC85082, N01HC85083, N01HC85086; and NHLBI grants HL080295, HL087652, HL105756 and HL103612 with additional contribution from the National Institute of Neurological Disorders and Stroke (NINDS). Additional support was provided through AG023629 from the National Institute on Aging (NIA). A full list of CHS investigators and institutions can be found at http://www.chs-nhlbi.org/pi.htm. The CROATIA cohorts would like to acknowledge the invaluable contributions of the recruitment teams in Vis, Korcula and Split (including those from the Institute of Anthropological Research in Zagreb and the Croatian Centre for Global Health at the University of Split), the administrative teams in Croatia and Edinburgh and the people of Vis, Korcula and Split. SNP genotyping was performed at the Wellcome Trust Clinical Research Facility in Edinburgh for CROATIA-Vis, by Helmholtz Zentrum München, GmbH, Neuherberg, Germany for CROATIA-Korcula and by AROS Applied Biotechnology, Aarhus, Denmark for CROATIA-Split. They would also like to thank Jared O’Connell for performing the pre-phasing for all cohorts before imputation. The ERF study as a part of EuroSPAN (European Special Populations Research Network) was supported by European Commission FP-6 STRP grant number 018947 (LSHG-CT-2006-01947) and also received funding from the European Community's Seventh Framework Programme (FP7/2007-2013)/grant agreement HEALTH-F4-2007-201413 by the European Commission under the programme ‘Quality of Life and Management of the Living Resources’ of 5th Framework Programme (no. QLG2-CT-2002-01254). High-throughput analysis of the ERF data was supported by joint grant from the Netherlands Organisation for Scientific Research and the Russian Foundation for Basic Research (NWO-RFBR 047.017.043). This research was financially supported by BBMRI-NL, a Research Infrastructure financed by the Dutch government (NWO 184.021.007). Statistical analyses for the ERF study were carried out on the Genetic Cluster Computer (http://www.geneticcluster.org), which is financially supported by the Netherlands Scientific Organization (NWO 480-05-003 PI: Posthuma) along with a supplement from the Dutch Brain Foundation and the VU University Amsterdam. We are grateful to all study participants and their relatives, general practitioners and neurologists for their contributions and to P. Veraart for her help in genealogy, J. Vergeer for the supervision of the laboratory work and P. Snijders for his help in data collection. The FamHS is funded by a NHLBI grant 5R01HL08770003, and NIDDK grants 5R01DK06833603 and 5R01DK07568102. The Framingham Heart Study SHARe Project for GWAS scan was supported by the NHLBI Framingham Heart Study (Contract No. N01-HC-25195) and its contract with Affymetrix Inc for genotyping services (Contract No. N02-HL-6-4278). DNA isolation and biochemistry were partly supported by NHLBI HL-54776. A portion of this research utilized the Linux Cluster for Genetic Analysis (LinGA-II) funded by the Robert Dawson Evans Endowment of the Department of Medicine at the Boston University School of Medicine and Boston Medical Center. We are grateful to Han Chen for conducting the 1000G imputation. The Family Heart Study was supported by the by grants R01-HL-087700 and R01-HL-088215 from the National Heart, Lung, and Blood Institute (NHLBI). We would like to acknowledge the invaluable contributions of the families who took part in the Generation Scotland: Scottish Family Health Study, the general practitioners and Scottish School of Primary Care for their help in recruiting them, and the whole Generation Scotland team, which includes academic researchers, IT staff, laboratory technicians, statisticians and research managers. SNP genotyping was performed at the Wellcome Trust Clinical Research Facility in Edinburgh. GS:SFHS is funded by the Scottish Executive Health Department, Chief Scientist Office, grant number CZD/16/6. SNP genotyping was funded by the Medical Research Council, United Kingdom. We wish to acknowledge the services of the LifeLines Cohort Study, the contributing research centres delivering data to LifeLines and all the study participants. MESA Whites and the MESA SHARe project are conducted and supported by contracts N01-HC-95159 through N01-HC-95169 and RR-024156 from the NHLBI. Funding for MESA SHARe genotyping was provided by NHLBI Contract N02.HL.6.4278. MESA Family is conducted and supported in collaboration with MESA investigators; support is provided by grants and contracts R01HL071051, R01HL071205, R01HL071250, R01HL071251, R01HL071252, R01HL071258 and R01HL071259. We thank the participants of the MESA study, the Coordinating Center, MESA investigators and study staff for their valuable contributions. A full list of participating MESA investigators and institutions can be found at http://www.mesa-nhlbi.org. Netherland Twin Register (NTR) and Netherlands Study of Depression and Anxiety (NESDA): Funding was obtained from the Netherlands Organization for Scientific Research (NWO) and MagW/ZonMW grants Middelgroot-911-09-032, Spinozapremie 56-464-14192, Geestkracht programme of the Netherlands Organization for Health Research and Development (Zon-MW, grant number 10-000-1002), Center for Medical Systems Biology (CSMB, NWO Genomics), NBIC/BioAssist/RK(2008.024), Biobanking and Biomolecular Resources Research Infrastructure (BBMRI-NL, 184.021.007), VU University’s Institute for Health and Care Research (EMGO+) and Neuroscience Campus Amsterdam (NCA); the European Science Foundation (ESF, EU/QLRT-2001-01254), the European Community’s Seventh Framework Program (FP7/2007-2013), ENGAGE (HEALTH-F4-2007-201413); the European Science Council (ERC Advanced, 230374); and the European Research Council (ERC-284167). Part of the genotyping and analyses were funded by the Genetic Association Information Network (GAIN) of the Foundation for the National Institutes of Health, Rutgers University Cell and DNA Repository (NIMH U24 MH068457-06), the Avera Institute, Sioux Falls, South Dakota (USA) and the National Institutes of Health (NIH R01 HD042157-01A1, MH081802, Grand Opportunity grants 1RC2 MH089951 and 1RC2 MH089995). PREVEND genetics is supported by the Dutch Kidney Foundation (Grant E033), the EU project grant GENECURE (FP-6 LSHM CT 2006 037697), the National Institutes of Health (grant 2R01LM010098), The Netherlands Organisation for Health Research and Development (NWO-Groot grant 175.010.2007.006, NWO VENI grant 916.761.70, ZonMw grant 90.700.441) and the Dutch Inter University Cardiology Institute Netherlands (ICIN). The PROSPER study was supported by an investigator-initiated grant obtained from Bristol-Myers Squibb. J.W.J is an Established Clinical Investigator of the Netherlands Heart Foundation (grant 2001 D 032). Genotyping was supported by the seventh framework programme of the European commission (grant 223004) and by the Netherlands Genomics Initiative (Netherlands Consortium for Healthy Aging grant 050-060-810). The Rotterdam Study is funded by Erasmus Medical Center and Erasmus University, Rotterdam, Netherlands Organization for the Health Research and Development (ZonMw), the Research Institute for Diseases in the Elderly (RIDE), the Ministry of Education, Culture and Science, the Ministry for Health, Welfare and Sports, the European Commission (DG XII) and the Municipality of Rotterdam. We are grateful to the study participants, the staff from the Rotterdam Study and the participating general practitioners and pharmacists. The generation and management of GWAS genotype data for the Rotterdam Study is supported by the Netherlands Organisation of Scientific Research NWO Investments (nr. 175.010.2005.011, 911-03-012). This study is funded by the Research Institute for Diseases in the Elderly (014-93-015; RIDE2), the Netherlands Genomics Initiative (NGI)/Netherlands Organisation for Scientific Research (NWO) project no. 050-060-810. We thank Pascal Arp, Mila Jhamai, Marijn Verkerk, Lizbeth Herrera and Marjolein Peters for their help in creating the GWAS database.Peer reviewedPublisher PD

Effects of eight neuropsychiatric copy number variants on human brain structure

Many copy number variants (CNVs) confer risk for the same range of neurodevelopmental symptoms and psychiatric conditions including autism and schizophrenia. Yet, to date neuroimaging studies have typically been carried out one mutation at a time, showing that CNVs have large effects on brain anatomy. Here, we aimed to characterize and quantify the distinct brain morphometry effects and latent dimensions across 8 neuropsychiatric CNVs. We analyzed T1-weighted MRI data from clinically and non-clinically ascertained CNV carriers (deletion/duplication) at the 1q21.1 (n = 39/28), 16p11.2 (n = 87/78), 22q11.2 (n = 75/30), and 15q11.2 (n = 72/76) loci as well as 1296 non-carriers (controls). Case-control contrasts of all examined genomic loci demonstrated effects on brain anatomy, with deletions and duplications showing mirror effects at the global and regional levels. Although CNVs mainly showed distinct brain patterns, principal component analysis (PCA) loaded subsets of CNVs on two latent brain dimensions, which explained 32 and 29% of the variance of the 8 Cohen’s d maps. The cingulate gyrus, insula, supplementary motor cortex, and cerebellum were identified by PCA and multi-view pattern learning as top regions contributing to latent dimension shared across subsets of CNVs. The large proportion of distinct CNV effects on brain morphology may explain the small neuroimaging effect sizes reported in polygenic psychiatric conditions. Nevertheless, latent gene brain morphology dimensions will help subgroup the rapidly expanding landscape of neuropsychiatric variants and dissect the heterogeneity of idiopathic conditions

In Vitro Assessment of the In Vivo Stability of Cu-64 Radiopharmaceuticals

Research Plans: The successful development of Cu-64 radiopharmaceuticals depends upon retention of the Cu-64 atom in the radiopharmaceutical. To date, the focus has been on the development of chelators that better retain Cu-64, but there has been no effort to develop an effective method by which improved retention may be measured. In the absence of a suitable analytical method, the stability of Cu-64 radiopharmaceuticals is estimated indirectly, with decreased liver uptake suggesting higher in vivo complex stability. But this approach is inadequate for radiopharmaceuticals, such as radiolabeled antibodies, that are expected to accumulate in the liver even when there is no free Cu-64 present. The absence of such a method has also hampered efforts to systematically evaluate the chemical factors that may give rise to improved retention. The objective of this project is to develop and validate such a method. Accomplishments: The two primary accomplishments of this project will be 1) the development and validation of a method to measure the stability of Cu-64 radiopharmaceuticals and 2) the determination of the chemical factors that define the in vivo stability of Cu 64 radiopharmaceuticals. Because Cu(II) is extremely labile, the in vivo stability of Cu-64 radiopharmaceuticals is not primarily determined by the amount of âÃÂÃÂfreeâÃÂàCu that is present at any given time or by the thermodynamic stability constants, but rather by the rate at which Cu is lost from the complex, the dissociation rate constant, kd. The dissociation rate constants of the Cu-64 complexes from a series of bifunctional chelators (BFCs) will be measured using Free Ion Selective Radiotracer Extraction (FISRE), a technique originally developed to measure bioavailable Cu in environmental samples. FISRE will also be applied to the determination of the kdâÃÂÃÂs of a series of reference Cu-64 complexes to determine the chemical factors that define the in vivo stability of Cu-64 radiopharmaceuticals. Potential Benefits: The FISRE method that will be used in this project, once validated, will provide researchers with a core technology by which the stability of Cu 64 radiopharmaceuticals can be accurately measured. In the short-term, we expect to produce extensive data regarding the stability of Cu-64 complexes of ligands of radiopharmaceutical interest, primarily those that are most commonly used as BFCs (e.g., DOTA, TETA). These data will provide a quantitative basis for deciding which ligands may be best suited for use as BFCs, data that is not currently available. In the intermediate term, we expect that these results will facilitate the development of new Cu-64 radiopharmaceuticals by providing a quantitative approach to assessing the stability of Cu-64 chelates. This innovative methodology will enable investigators to quantitatively compare the ability of different BFCs to retain Cu-64 in vivo. The benefits of this approach will be best seen in the development of Cu-64-labeled monoclonal antibodies where the accumulation of antibodies in the liver obviates liver uptake as an effective surrogate measure of Cu-64 lability. In the longer-term, we anticipate an improvement in the way in which various diseases (especially cancer) are detected, diagnosed, staged, and treated. This method will also enable researchers to distinguish differences in biodistribution that may arise from differences in charge, lipophilicity, etc. from those that may arise from loss of Cu-64 from the chelator. Last, this novel quantitative tool will allow investigators to evaluate the chemical factors that determine the in vivo stability of Cu-64 radiopharmaceuticalsâÃÂÃÂlaying the groundwork for the future development of more effective Cu-64 radiopharmaceuticals. Once the feasibility of this method is established, it can also be used to evaluate the stability of other metalloradiopharmaceuticals including those based on Ga-68, a radionuclide that is showing great promise in tumor imaging

LINOPT : a linear circuit optimization program

http://deepblue.lib.umich.edu/bitstream/2027.42/6963/5/bad0824.0001.001.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/6963/4/bad0824.0001.001.tx

The Non-Anhydrous, Minimally Basic Synthesis of the Dopamine D2 Agonist [18F]MCL-524

The dopamine D2 agonist MCL-524 is selective for the D2 receptor in the high-affinity state (D2high), and, therefore, the PET analogue, [18F]MCL-524, may facilitate the elucidation of the role of D2high in disorders such as schizophrenia. However, the previously reported synthesis of [18F]MCL-524 proved difficult to replicate and was lacking experimental details. We therefore developed a new synthesis of [18F]MCL-524 using a “non-anhydrous, minimally basic” (NAMB) approach. In this method, [18F]F− is eluted from a small (10–12 mg) trap-and-release column with tetraethylammonium tosylate (2.37 mg) in 7:3 MeCN:H2O (0.1 mL), rather than the basic carbonate or bicarbonate solution that is most often used for [18F]F− recovery. The tosylated precursor (1 mg) in 0.9 mL anhydrous acetonitrile was added directly to the eluate, without azeotropic drying, and the solution was heated (150 °C/15 min). The catechol was then deprotected with the Lewis acid In(OTf)3 (10 equiv.; 150 °C/20 min). In contrast to deprotection with protic acids, Lewis-acid-based deprotection facilitated the efficient removal of byproducts by HPLC and eliminated the need for SPE extraction prior to HPLC purification. Using the NAMB approach, [18F]MCL-524 was obtained in 5–9% RCY (decay-corrected, n = 3), confirming the utility of this improved method for the multistep synthesis of [18F]MCL-524 and suggesting that it may applicable to the synthesis of other 18F-labeled radiotracers