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De Groot, J.

Publications and source records attributed to De Groot, J..

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Alterations in Lysosomal, Glial and Neurodegenerative Biomarkers in Patients with Sporadic and Genetic Forms of Frontotemporal Dementia

BackgroundFrontotemporal dementia (FTD) is the most common cause of early-onset dementia with 10-20% of cases caused by mutations in one of three genes: GRN, C9orf72, or MAPT. To effectively develop therapeutics for FTD, the identification and characterization of biomarkers to understand disease pathogenesis and evaluate the impact of specific therapeutic strategies on the target biology as well as the underlying disease pathology are essential. Moreover, tracking the longitudinal changes of these biomarkers throughout disease progression is crucial to discern their correlation with clinical manifestations for potential prognostic usage. MethodsWe conducted a comprehensive investigation of biomarkers indicative of lysosomal biology, glial cell activation, synaptic and neuronal health in cerebrospinal fluid (CSF) and plasma from non-carrier controls, sporadic FTD (symptomatic non-carriers) and symptomatic carriers of mutations in GRN, C9orf72, or MAPT, as well as asymptomatic GRN mutation carriers. We also assessed the longitudinal changes of biomarkers in GRN mutation carriers. Furthermore, we examined biomarker levels in disease impacted brain regions including middle temporal gyrus (MTG) and superior frontal gyrus (SFG) and disease-unaffected inferior occipital gyrus (IOG) from sporadic FTD and symptomatic GRN carriers. ResultsWe confirmed glucosylsphingosine (GlcSph), a lysosomal biomarker regulated by progranulin, was elevated in the plasma from GRN mutation carriers, both symptomatic and asymptomatic. GlcSph and other lysosomal biomarkers such as ganglioside GM2 and globoside GB3 were increased in the disease affected SFG and MTG regions from sporadic FTD and symptomatic GRN mutation carriers, but not in the IOG, compared to the same brain regions from controls. The glial biomarkers GFAP in plasma and YKL40 in CSF were elevated in asymptomatic GRN carriers, and all symptomatic groups, except the symptomatic C9orf72 mutation group. YKL40 was also increased in SFG and MTG regions from sporadic FTD and symptomatic GRN mutation carriers. Neuronal injury and degeneration biomarkers NfL in CSF and plasma, and UCHL1 in CSF were elevated in patients with all forms of FTD. Synaptic biomarkers NPTXR, NPTX1/2, and VGF were reduced in CSF from patients with all forms of FTD, with the most pronounced reductions observed in symptomatic MAPT mutation carriers. Furthermore, we demonstrated plasma NfL was significantly positively correlated with disease severity as measured by CDR+NACC FTLD{square}SB in genetic forms of FTD and CSF NPTXR was significantly negatively correlated with CDR+NACC FTLD{square}SB in symptomatic GRN and MAPT mutation carriers. ConclusionsIn conclusion, our comprehensive investigation replicated alterations in biofluid biomarkers indicative of lysosomal function, glial activation, synaptic and neuronal health across sporadic and genetic forms of FTD and unveiled novel insights into the dysregulation of these biomarkers within brain tissues from patients with GRN mutations. The observed correlations between biomarkers and disease severity open promising avenues for prognostic applications and for indicators of drug efficacy in clinical trials. Our data also implicated a complicated relationship between biofluid and tissue biomarker changes and future investigations should delve into the mechanistic underpinnings of these biomarkers, which will serve as a foundation for the development of targeted therapeutics for FTD.

neuroscience↗

Robust detection of oncometabolic aberrations by 1H-13C heteronuclear single quantum correlation in live cells and intact tumors ex-vivo

Extensive efforts have been made to use non-invasive 1H magnetic resonance (MR) spectroscopy to quantify metabolites that are diagnostic of specific disease states. Within the realm of precision oncology, these efforts have largely centered on quantifying 2-hydroxyglutarate (2-HG) in tumors harboring isocitrate dehydrogenase 1 (IDH1) mutations. As many metabolites have similar chemical shifts, the resulting 1H spectra of intact biological material are highly convoluted, limiting the application of 1H MR to high abundance metabolites. Hydrogen-Carbon Heteronuclear single quantum correlation 1H-13C HSQC is routinely employed in organic synthesis to resolve complex spectra but has received limited attention for biological studies. Here, we show that 1H-13C HSQC offers a dramatic improvement in sensitivity compared to one-dimensional (1D) 13C NMR and dramatic signal deconvolution compared to 1D 1H spectra in an intact biological setting. Using a standard NMR spectroscope without specialized signal enhancements features such as magic angle spinning, metabolite extractions or 13C-isotopic enrichment, we obtain well-resolved 2D 1H-13C HSQC spectra in live cancer cells, in ex-vivo freshly dissected xenografted tumors and resected primary tumors. We demonstrate that this method can readily identify tumors with specific genetic-driven oncometabolite alterations such as IDH mutations with elevation of 2-HG as well as PGD-homozygously deleted tumors with elevation of gluconate. These data support the potential of 1H-13C HSQC as a non-invasive diagnostic tool for metabolic precision oncology.

biophysics↗