Searched for: school:SOM
Department/Unit:Neuroscience Institute
Astrocytic TCF7L2 Impacts Brain Osmoregulation and Restricts Neuronal Excitability
Popek, Mariusz; Goryca, Krzysztof; Adamska, Dorota; Urban-Ciećko, Joanna; Hryniewiecka, Katarzyna; Lipiec, Marcin; Krawczyk, Tomasz Grzegorz; Rafalko, Kamil; Ławicka, Alicja; Liddelow, Shane A; Szewczyk, Lukasz Mateusz
Astrocytes differentiate and mature during postnatal development, but the molecular mechanisms linking their maturation to neuronal function remain unclear. We investigated the role of Wnt/β-catenin signaling and its effector, the transcription factor TCF7L2, in postnatal astrocytes using single-nucleus RNA sequencing, imaging, morphometric analysis, microdialysis, and electrophysiology in Tcf7l2 conditional knockout (cKO) mice. Loss of Tcf7l2 caused widespread transcriptional dysregulation in astrocytes, particularly in genes related to amino acid and ion transport, as well as membrane potential regulation. These mice showed disrupted amino acid homeostasis, astrocyte swelling, and impaired extracellular potassium clearance in the somatosensory cortex. These astrocytic changes were accompanied by altered gene expression in cortical pyramidal neurons, reduced excitability, and a hyperpolarized resting membrane potential. Our results suggest that astrocytic TCF7L2 is crucial in coordinating ion and amino acid transport in adulthood, thereby contributing to maintaining extracellular homeostasis and supporting neuronal function. This study identifies TCF7L2 as a key regulator of astrocyte-mediated neurophysiological support and underscores the importance of its role in astrocyte maturation during postnatal development.
PMCID:12680928
PMID: 41351316
ISSN: 1098-1136
CID: 5975392
Nanoparticle-mediated antagonism of sustained endosomal signaling of the calcitonin receptor-like receptor provides enhanced and persistent relief of oral cancer pain
Peach, Chloe J.; Tu, Nguyen Huu; Lewis, Parker K.; Pollard, Rachel E.; Sokrat, Badr; Nicholson, Sam; Trevett, Kai; Barrett, Naomi; De Logu, Francesco; Zhu, Jiaqi; Latorre, Rocco; Teng, Shavonne; Therien, Michael J.; Jensen, Dane D.; Schmidt, Brian L.; Bunnett, Nigel W.; Pinkerton, Nathalie M.
ISI:001597018400001
ISSN: 0142-9612
CID: 5966152
Artificial Intelligence in Prostate MRI: Addressing Current Limitations Through Emerging Technologies
Johnson, Patricia M; Umapathy, Lavanya; Gigax, Bradley; Rossi, Juan Kochen; Tong, Angela; Bruno, Mary; Sodickson, Daniel K; Nayan, Madhur; Chandarana, Hersh
Prostate MRI has transformed lesion detection and risk stratification in prostate cancer, but its impact is constrained by the high cost of the exam, variability in interpretation, and limited scalability. False negatives, false positives, and moderate inter-reader agreement undermine reliability, while long acquisition times restrict throughput. Artificial intelligence (AI) offers potential solutions to address many of the limitations of prostate MRI in the clinical management pathway. Machine learning-based triage can refine patient selection to optimize resources. Deep learning reconstruction enables accelerated acquisition while preserving diagnostic quality, with multiple FDA-cleared products now in clinical use. Ongoing development of automated quality assessment and artifact correction aims to improve reliability by reducing nondiagnostic exams. In image interpretation, AI models for lesion detection and clinically significant prostate cancer prediction achieve performance comparable to radiologists, and the PI-CAI international reader study has provided the strongest evidence to date of non-inferiority at scale. More recent work extends MRI-derived features into prognostic modeling of recurrence, metastasis, and functional outcomes. This review synthesizes progress across five domains-triage, accelerated acquisition and reconstruction, image quality assurance, diagnosis, and prognosis-highlighting the level of evidence, validation status, and barriers to adoption. While acquisition and reconstruction are furthest along, with FDA-cleared tools and prospective evaluations, triage, quality control, and prognosis remain earlier in development. Ensuring equitable performance across populations, incorporating uncertainty estimation, and conducting prospective workflow trials will be essential to move from promising prototypes to routine practice. Ultimately, AI could accelerate the adoption of prostate MRI toward a scalable platform for earlier detection and population-level prostate cancer management. EVIDENCE LEVEL: N/A TECHNICAL EFFICACY: 3.
PMID: 41348934
ISSN: 1522-2586
CID: 5975352
CaBLAM: a high-contrast bioluminescent Ca2+ indicator derived from an engineered Oplophorus gracilirostris luciferase
Lambert, Gerard G; Crespo, Emmanuel L; Murphy, Jeremy; Turner, Kevin L; Gershowitz, Emily; Cunningham, Michaela; Boassa, Daniela; Luong, Selena; Celinskis, Dmitrijs; Allen, Justine J; Venn, Stephanie; Zhu, Yunlu; Karadas, Mürsel; Chen, Jiakun; Marisca, Roberta; Gelnaw, Hannah; Nguyen, Daniel K; Hu, Junru; Sprecher, Brittany N; Tree, Maya O; Orcutt, Richard; Heydari, Daniel; Bell, Aidan B; Torreblanca-Zanca, Albertina; Hakimi, Ali; Czopka, Tim; Shoham, Shy; Nagel, Katherine I; Schoppik, David; Andrade, Arturo; Lipscombe, Diane; Moore, Christopher I; Hochgeschwender, Ute; Shaner, Nathan C
Monitoring intracellular calcium is central to understanding cell signaling across nearly all cell types and organisms. Fluorescent genetically encoded calcium indicators (GECIs) remain the standard tools for in vivo calcium imaging, but require intense excitation light, leading to photobleaching, background autofluorescence and phototoxicity. Bioluminescent GECIs, which generate light enzymatically, eliminate these artifacts but have been constrained by low dynamic range and suboptimal calcium affinities. Here we show that CaBLAM ('calcium bioluminescence activity monitor'), an engineered bioluminescent calcium indicator, achieves an order-of-magnitude improvement in signal contrast and a tunable affinity matched to physiological cytosolic calcium. CaBLAM enables single-cell and subcellular activity imaging at video frame rates in cultured neurons and sustained imaging over hours in awake, behaving animals. These capabilities establish CaBLAM as a robust and general alternative to fluorescent GECIs, extending calcium imaging to regimes where excitation light is undesirable or infeasible.
PMID: 41331138
ISSN: 1548-7105
CID: 5974882
Advances in the genetics and pathology of Lewy body dementia
Scholz, Sonja W; Okubadejo, Njideka U; Prakash, Priya; Liddelow, Shane A; Ryten, Mina; Halliday, Glenda M
Lewy body dementia is a heterogeneous disease that is underdiagnosed and poorly understood. Pathologically, Lewy body dementia is characterised by the accumulation of intraneuronal aggregates of misfolded α-synuclein, known as Lewy bodies and Lewy neurites. The genetic architecture of Lewy body dementia is complex, involving both common genetic variants with small risk effects and rare genetic variants with large effects. Alzheimer's disease pathology frequently coexists with Lewy body pathology and influences the clinical presentation. A deeper understanding of the pathophysiological pathways, including mitochondrial dysfunction, lysosomal dysfunction, and neuroinflammation, can enhance disease modelling, and this knowledge will ultimately facilitate the development of therapeutic interventions. The biological relationships that Lewy body dementia shares with other neurodegenerative and psychiatric disorders might also be crucial for the development of therapeutic strategies.
PMID: 41240918
ISSN: 1474-4465
CID: 5967292
Formaldehyde induces and promotes Alzheimer's disease pathologies in a 3D human neural cell culture model
Wu, Peipei; Chen, Danqi; Wang, Fei; Lu, Kun; Sigurdsson, Einar M; Jin, Chunyuan
Formaldehyde, a reactive aldehyde widely present in the environment and associated with occupational exposure, has been linked to cognitive impairment and Alzheimer's disease (AD) in multiple epidemiological and animal studies. However, its contribution to AD-like pathology in human neural models remains poorly understood. We utilized a 3D culture system of human neural progenitor cells (ReNcell VM) differentiated into neurons and glial cells to model chronic formaldehyde exposure. Additionally, we established a 3D human AD model by transducing ReN cells with APP and PSEN1 mutations to assess the effects of formaldehyde in an AD genetic background. Long-term formaldehyde exposure (up to 12 weeks) induced a dose-dependent increase in Aβ40, Aβ42, APP, and phosphorylated tau levels in both wild-type and AD-mutant 3D cultures. These changes mimic hallmark features of AD neuropathology, suggesting that formaldehyde acts as a pathological driver in both sporadic and familial contexts. Our study provides direct evidence that chronic formaldehyde exposure may initiate and accelerate amyloid and tau pathologies in 3D human neural cell models. These findings support growing concerns about formaldehyde as a modifiable risk factor in neurodegeneration.
PMID: 41043545
ISSN: 1873-6351
CID: 5954312
On the role of theories in consciousness science
He, Biyu J
Consciousness Science is entering an age of unprecedented opportunity, thanks to recent empirical and theoretical advances, increasing interest in the topic, and technological advances in neuroscience. The role theories will play in a maturing science of consciousness deserves a closer look.
PMCID:12657947
PMID: 41298961
ISSN: 2731-9121
CID: 5968522
Clioquinol "Sweetens the Pot" for Drug-Resistant Epilepsy-With an After Taste
Scharfman, Helen E
PMCID:12629957
PMID: 41280411
ISSN: 1535-7597
CID: 5967882
Physiology and immunology of pig-to-human decedent kidney xenotransplant
Montgomery, Robert A; Stern, Jeffrey M; Fathi, Farshid; Suek, Nathan; Kim, Jacqueline I; Khalil, Karen; Vermette, Benjamin; Tatapudi, Vasishta S; Mattoo, Aprajita; Skolnik, Edward Y; Jaffe, Ian S; Aljabban, Imad; Eitan, Tal; Bisen, Shivani; Weldon, Elaina P; Goutaudier, Valentin; Morgand, Erwan; Mezine, Fariza; Giarraputo, Alessia; Boudhabhay, Idris; Bruneval, Patrick; Sannier, Aurelie; Breen, Kevin; Saad, Yasmeen S; Muntnich, Constanza Bay; Williams, Simon H; Zhang, Weimin; Kagermazova, Larisa; Schmauch, Eloi; Goparaju, Chandra; Dieter, Rebecca; Lawson, Nikki; Dandro, Amy; Fazio-Kroll, Ana Laura; Burdorf, Lars; Ayares, David; Lorber, Marc; Segev, Dorry; Ali, Nicole; Goldfarb, David S; Costa, Victoria; Hilbert, Timothy; Mehta, Sapna A; Herati, Ramin S; Pass, Harvey I; Wu, Ming; Boeke, Jef D; Keating, Brendan; Mangiola, Massimo; Sommer, Philip M; Loupy, Alexandre; Griesemer, Adam; Sykes, Megan
Xenotransplantation of genetically-modified pig kidneys offers a solution to the scarcity of organs for end-stage renal disease patients.1 We performed a 61-day alpha-Gal knock-out pig kidney and thymic autograft transplant into a nephrectomized brain-dead human using clinically approved immunosuppression, without CD40 blockade or additional genetic modification. Hemodynamic and electrolyte stability and dialysis independence were achieved. Post-operative day (POD) 10 biopsies revealed glomerular IgM and IgA deposition, activation of early complement components and mesangiolysis with stable renal function without proteinuria, a phenotype not seen in allotransplantation. On POD 33, an abrupt increase in serum creatinine was associated with antibody-mediated rejection and increased donor-specific IgG. Plasma exchange, C3/C3b inhibition and rabbit anti-thymocyte globulin (rATG), completely reversed xenograft rejection. Pre-existing donor-reactive T cell clones expanded progressively in the circulation post-transplant, acquired an effector transcriptional profile and were detected in the POD 33 rejecting xenograft prior to rATG treatment. This study provides the first long-term physiologic, immunologic, and infectious disease monitoring of a pig-to-human kidney xenotransplant and indicates that pre-existing xenoreactive T cells and induced antibodies to unknown epitope(s) present a major challenge, despite significant immunosuppression. It also demonstrates that a minimally gene-edited pig kidney can support long-term life-sustaining physiologic functions in a human.
PMID: 41233546
ISSN: 1476-4687
CID: 5967072
Estrogen modulates reward prediction errors and reinforcement learning
Golden, Carla E M; Martin, Audrey C; Kaur, Daljit; Mah, Andrew; Levy, Diana H; Yamaguchi, Takashi; Lasek, Amy W; Lin, Dayu; Aoki, Chiye; Constantinople, Christine M
Gonadal hormones act throughout the brain and modulate psychiatric symptoms. Yet how hormones influence cognitive processes is unclear. Exogenous 17β-estradiol, the most potent estrogen, modulates dopamine in the nucleus accumbens core, which instantiates reward prediction errors (RPEs), the difference between received and expected reward. Here we show that following endogenous increases in 17β-estradiol, dopamine RPEs and behavioral sensitivity to previous rewards are enhanced, and nucleus accumbens core dopamine reuptake proteins are reduced. Rats adjusted how quickly they initiated trials in a task with varying reward states, balancing effort against expected rewards. Nucleus accumbens core dopamine reflected RPEs that influenced rats' initiation times. Higher 17β-estradiol predicted greater sensitivity to reward states and larger RPEs. Proteomics revealed reduced dopamine transporter expression following 17β-estradiol increases. Finally, knockdown of midbrain estrogen receptors suppressed sensitivity to reward states. Therefore, endogenous 17β-estradiol predicts dopamine reuptake and RPE signaling, and causally dictates the impact of previous rewards on behavior.
PMID: 41219504
ISSN: 1546-1726
CID: 5966672