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D'Andrea, D.

Publications and source records attributed to D'Andrea, D..

5 recordsLinked to original sources

Rapid and reproducible in vitro generation of human parvalbumin-expressing cortical interneurons

Parvalbumin-expressing cortical interneurons play a critical role in maintaining the balance between excitatory and inhibitory signalling and are essential for cognition, with dysfunction implicated in numerous brain disorders. Although human pluripotent stem cells have enabled the generation of diverse human neuronal types in vitro, including cortical interneurons, parvalbumin-expressing interneurons - unlike somatostatin-expressing interneurons - remain difficult to generate reliably and consistently. Here, we demonstrate the efficient and reproducible generation of parvalbumin-expressing cortical interneurons in vitro within 50 days of differentiation. Parvalbumin mRNA and protein were detected without forced gene expression, cell sorting, rodent co-culture or intracerebral transplantation, approaches commonly required by previous protocols. Single-cell transcriptomic analyses validated neuronal identity and authenticity, revealing enrichment for gene expression signatures of parvalbumin-expressing cortical interneurons in vivo. Together, these findings establish a robust method that facilitates interneuron research by enabling the reliable generation of authentic human parvalbumin-expressing cortical interneurons within a short time frame. eTOC blurbAzzouni et al. present a rapid and reproducible protocol for generating authentic human parvalbumin-expressing cortical interneurons from pluripotent stem cells in just 50 days, without forced gene expression or co-culture. Single-cell transcriptomics confirm robust acquisition of in vivo-like PVALB interneuron identity, enabling new opportunities for human interneuron research. HighlightO_LIOptimising SHH and WNT modulators enables consistent PVALB interneuron generation. C_LIO_LI10% of cells express PVALB mRNA within 50 days of 2D differentiation from hPSCs. C_LIO_LIPVALB expression occurs without gene forcing, sorting, co-culture or grafting. C_LIO_LIComparison of gene expression to in vivo interneurons confirms PVALB authenticity. C_LI Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=192 SRC="FIGDIR/small/710579v1_ufig1.gif" ALT="Figure 1"> View larger version (32K): org.highwire.dtl.DTLVardef@1a53d13org.highwire.dtl.DTLVardef@14cd131org.highwire.dtl.DTLVardef@3a0f9corg.highwire.dtl.DTLVardef@1d7034d_HPS_FORMAT_FIGEXP M_FIG C_FIG

neuroscience↗

Gait speed is a biomarker of cancer-associated cachexia decline and recovery

BackgroundProgressive functional decline is a key element of cancer-associated cachexia. No therapies have successfully translated to the clinic due to an inability to measure and improve physical function in cachectic patients. Major barriers to translating pre-clinical therapies to the clinic include lack of cancer models that accurately mimic functional decline and use of non-specific outcome measures of function, like grip strength. New approaches are needed to investigate cachexia-related function at both the basic and clinical science levels. MethodsSurvival extension studies were performed by testing multiple cell lines, dilutions, and vehicle-types in orthotopic implantation of K-rasLSL.G12D/+; Trp53R172H/+; Pdx-1-Cre (KPC) derived cells. 128 animals in this new model were then assessed for muscle wasting, inflammation, and functional decline using a battery of biochemical, physiologic, and behavioral techniques. In parallel, we analyzed a 156-subject cohort of cancer patients with a range of cachexia severity, and who required rehabilitation, to determine the relationship between gait speed via six-minute walk test (6MWT), grip strength (hGS), and functional independence measures (FIM). Cachectic patients were identified using the Weight Loss Grading Scale (WLGS), Fearon consensus criteria, and the Prognostic Nutritional Index (PNI). ResultsUsing a 100-cell dose of DT10022 KPC cells, we extended the survival of the KPC orthotopic model to 8-9 weeks post-implantation compared to higher doses used (p<0.001). In this Low-dose Orthotopic (LO) model, both progressive skeletal and cardiac muscle wasting were detected in parallel to systemic inflammation; skeletal muscle atrophy at the fiber level was detected as early as 3 weeks post-implantation compared to controls (p<0.001). Gait speed in LO animals declined as early 2 week post-implantation whereas grip strength change was a late event and related to end of life. Principle component analysis (PCA) revealed distinct cachectic and non-cachectic animal populations, which we leveraged to show that gait speed decline was specific to cachexia (p<0.01) while grip strength decline was not (p=0.19). These data paralleled our observations in cancer patients with cachexia who required rehabilitation. In cachectic patients (identified by WLGS, Fearon criteria, or PNI, change in 6MWT correlated with motor FIM score changes while hGS did not (r2=0.18, p<0.001). This relationship between 6MWT and FIM in cachectic patients was further confirmed through multivariate regression (r2=0.30, p<0.001) controlling for age and cancer burden. ConclusionOutcome measures linked to gait are better associated with cachexia related function and preferred for future pre-clinical and clinical cachexia studies.

cancer biology↗

STAT3 restricts prostate cancer metastasis and antiandrogen resistance by controlling LKB1/CREB signaling pathway

Prostate cancer (PCa) lethality is driven by its progression to a metastatic castration-resistant state, yet the signaling mechanisms underlying metastatic spread remain unknown. Here we show that STAT3 converges with the LKB1/mTORC1 and CREB to control metastatic disease in PCa mouse models. Unexpectedly, STAT3 was found to be upregulated in diabetic PCa patients undergoing metformin therapy with a concomitant reduction in mTORC1 expression. In preclinical mouse models of PCa, genetic ablation or activation of STAT3 had opposing effects on LKB1/AMPK/mTORC1- dependent tumorigenesis. Using genetic and pharmacological approaches, we identified LKB1 as a direct STAT3 target while repressing CREB. Furthermore, PCa patients with high CREB expression had inferior clinical outcome with significantly increased risk of disease and metastatic recurrence. We observe that castration state lowers STAT3 abundance and increases AR and CREB levels, leading to castration-resistant PCa (CRPC). Our findings revealed that STAT3 controls mTORC1 and CREB in metastatic disease, suggesting CREB as a promising target for lethal CRPC.

cancer biology↗

Co-activation of NF-κB and MYC renders cancer cells addicted to IL6 for survival and phenotypic stability

NF-{kappa}B and MYC are found co-deregulated in human B and plasma-cell cancers. In physiology, NF-{kappa}B is necessary for terminal B-to-plasma cell differentiation, whereas MYC repression is required. It is thus unclear if NF-{kappa}B/MYC co-deregulation is developmentally compatible in carcinogenesis and/or impacts cancer cell differentiation state, possibly uncovering unique sensitivities. Using a mouse system to trace cell lineage and oncogene activation we found that NF-{kappa}B/MYC co-deregulation originated cancers with a plasmablast-like phenotype, alike human plasmablastic-lymphoma and was linked to t(8;14)[MYC-IGH] multiple myeloma. Notably, in contrast to NF-{kappa}B or MYC activation alone, co-deregulation rendered cells addicted to IL6 for survival and phenotypic stability. We propose that conflicting oncogene-driven differentiation pressures can be accommodated at a cost in poorly-differentiated cancers. SignificanceOur studies improve the understanding of cancer pathogenesis by demonstrating that co-deregulation of NF-{kappa}B and MYC synergize in forming a cancer with a poorly-differentiated state. The cancers in the mouse system share features with human Plasmablastic lymphoma that has a dismal prognosis and no standard of care, and with t(8;14)[MYC-IGH] Multiple myeloma, which is in overall resistant to standard therapy. Notably, we found that NF-{kappa}B and MYC co-deregulation uniquely render cells sensitive to IL6 deprivation, providing a road-map for patient selection. Because of the similarity of the cancers arising in the compound mutant mouse model with that of human Plasmablastic lymphoma and t(8;14)[MYC-IGH] Multiple myeloma, this model could serve in preclinical testing to investigate novel therapies for these hard-to-treat diseases. HighlightsO_LINF-{kappa}B and MYC co-activation originates (pre)plasmablast-like cancer C_LIO_LINF-{kappa}B/MYC+ renders cancer cells addicted to IL6 for survival and phenotypic stability C_LIO_LINF-{kappa}B/MYC+ cancers are alike a fraction of human plasmablastic lymphoma C_LIO_LIt(8;14)[MYC-IGH] multiple myeloma is linked to a NF-{kappa}B/MYC co-activation signature C_LI

cancer biology↗

Synaptic protein DLG2 controls neurogenic transcriptional programs disrupted in schizophrenia and related disorders

Brain development requires a complex choreography of cell proliferation, specialisation, migration and network formation, guided by the activation and repression of gene expression programs. It remains unclear how this process is disrupted in neuropsychiatric disorders. Here we integrate human genetics with transcriptomic data from the differentiation of human embryonic stem cells into cortical excitatory neurons. This reveals a cascade of transcriptional programs, activated during early corticoneurogenesis in vitro and in vivo, in which genetic variation is robustly associated with neuropsychiatric disorders and cognitive function. Within these early neurogenic programs, genetic risk is concentrated in loss-of-function intolerant (LoFi) genes, capturing virtually all LoFi disease association. Down-regulation of these programs in DLG2 knockout lines delays expression of cell-type identity alongside marked deficits in neuronal migration, morphology and action potential generation, validating computational predictions. These data implicate specific cellular pathways and neurodevelopmental processes in the aetiology of multiple neuropsychiatric disorders and cognition.

genetics↗