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    Molecular imaging of microbiota-gut-brain axis: searching for the right targeted probe for the right target and disease

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    The highly bidirectional dialogue between the gut and the brain is markedly stimulated and influenced by the microbiome through integrated neuroendocrine, neurological and immunological processes. Gut microbiota itself communicate with the host producing hormonal intermediates, metabolites, proteins, and toxins responsible for a variety of biochemical and functional inputs, thereby shaping host homeostasis. Indeed, a dysregulated microbiota-gut-brain axis might be the origin of many neuroimmune-mediated disorders, e.g. autism, multiple sclerosis, depression, Alzheimer's and Parkinson's disease, which appear months or even years prior to a diagnosis, corroborating the theory that the pathological process is spread from the gut to the brain. A much deeper comprehension of how commensal microbe can be manipulated to interfere with disease progression is crucial for developing new strategies to diagnose and treat diseases. In recent years, the potential of positron-emission-tomography (PET) in the field of bacteria detection has gained attention. The uptake of several PET tracers has been evaluated to investigate infection pathophysiology, e.g. sterile or pathogen-mediated infection, monitoring of progression, or as a surrogate endpoint in clinical trials. In this minireview, we briefly describe the role of microbiome-gut-brain axis in health and disease and we discuss the imaging modalities and agents that could be applied to study the dynamic interactions between microbiome, gut and brain. These are key aspects in understanding the biochemical lexicon underpinning the microbiome-host crosstalk that would enable the development of diagnostics and therapeutics by targeting the human microbiota

    Synthesis and characterization of paramagnetic schiff base complexes of rhenium(IV)

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    ReCl4(PPh3)2 reacts with LH (LH=N-methyl- or N-phenylsalicylideneimine Schiff bases) to give ReCl4(LH)PPh3, ReCl4(LH)2, ReCl3(L)PPh3 and ReCl2(L)2. With LH=8-hydroxyquinoline only chelate derivatives were obtained. Compounds ReCl3(L)PMe2Ph were obtained by heating the complexes ReCl2(L)(PMe2Ph)2 under reflux in CCl4. The complexes were characterized by elemental analysis, i.r. and1H n.m.r. spectra. © 1983 Verlag Chemie GmbH

    Mixed schiff base, carbonyl(phosphine)rhenium(I) complexes

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    The Re(CO)2(L)P2 complexes (L=N-methylsalicylideneiminate, N-phenylsalicylideneiminate, half N,N′-ethylenebis(salicylideneiminate) or 8-hydroxyquinolinate; P=dimethyl(phenyl)phosphine or triphenylphosphine) were synthesized from the ReCl(CO)3P2 complexes and characterized by elemental analysis, i.r. and1H n.m.r. spectroscopy. © 1982 Verlag Chemie GmbH

    RHENIUM(V) COMPLEXES WITH VINYL AMIDES

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    The reactions of trans-ReOCl3(PPh3)2 with vinyl amides such as RCOCH=C(R′)NH2, where R′ = CH2CH2CO2H and R = Ph and C6H13; or R′ = Me, CH2CH2CO2Me and R = Ph, give complexes of the type ReOCl2-[RC(O-)=CHC(R′)=NH]PPh3, the coordination geometry of which have been deduced from i.r. and1H n.m.r. spectroscopic data. © 1981 Verlag Chemie GmbH

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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