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Comment on 'Accumbens cholinergic interneurons dynamically promote dopamine release and enable motivation'

Taniguchi, James; Melani, Riccardo; Chantranupong, Lynne; Wen, Michelle J; Mohebi, Ali; Berke, Joshua D; Sabatini, Bernardo L; Tritsch, Nicolas X
Acetylcholine is widely believed to modulate the release of dopamine in the striatum of mammals. Experiments in brain slices clearly show that synchronous activation of striatal cholinergic interneurons is sufficient to drive dopamine release via axo-axonal stimulation of nicotinic acetylcholine receptors. However, evidence for this mechanism in vivo has been less forthcoming. Mohebi, Collins and Berke recently reported that, in awake behaving rats, optogenetic activation of striatal cholinergic interneurons with blue light readily evokes dopamine release measured with the red fluorescent sensor RdLight1 (Mohebi et al., 2023). Here, we show that blue light alone alters the fluorescent properties of RdLight1 in a manner that may be misconstrued as phasic dopamine release, and that this artefactual photoactivation can account for the effects attributed to cholinergic interneurons. Our findings indicate that measurements of dopamine using the red-shifted fluorescent sensor RdLight1 should be interpreted with caution when combined with optogenetics. In light of this and other publications that did not observe large acetylcholine-evoked dopamine transients in vivo, the conditions under which such release occurs in behaving animals remain unknown.
PMID: 38748470
ISSN: 2050-084x
CID: 5656172

Early-treatment cerebral blood flow change as a predictive biomarker of antidepressant treatment response: evidence from the EMBARC clinical trial

Dang, Yi; Lu, Bin; Vanderwal, Tamara; Castellanos, Francisco Xavier; Yan, Chao-Gan
BACKGROUND:Major depressive disorder (MDD) is one of the most prevalent and disabling illnesses worldwide. Treatment of MDD typically relies on trial-and-error to find an effective approach. Identifying early response-related biomarkers that predict response to antidepressants would help clinicians to decide, as early as possible, whether a particular treatment might be suitable for a given patient. METHODS:Data were from the two-stage Establishing Moderators and Biosignatures of Antidepressant Response for Clinical Care (EMBARC) trial. A whole-brain, voxel-wise, mixed-effects model was applied to identify early-treatment cerebral blood flow (CBF) changes as biomarkers of treatment response. We examined changes in CBF measured with arterial spin labeling 1-week after initiating double-masked sertraline/placebo. We tested whether these early 1-week scans could be used to predict response observed after 8-weeks of treatment. RESULTS:Response to 8-week placebo treatment was associated with increased cerebral perfusion in temporal cortex and reduced cerebral perfusion in postcentral region captured at 1-week of treatment. Additionally, CBF response in these brain regions was significantly correlated with improvement in Hamilton Depression Rating Scale score in the placebo group. No significant associations were found for selective serotonin reuptake inhibitor treatment. CONCLUSIONS:We conclude that early CBF responses to placebo administration in multiple brain regions represent candidate neural biomarkers of longer-term antidepressant effects.
PMID: 38720516
ISSN: 1469-8978
CID: 5733962

Potassium seeks a role in the drama of neurodegeneration [Comment]

Nicholson, Charles
PMID: 38593179
ISSN: 1460-2156
CID: 5657292

Building, Breaking, and Repairing Neuromuscular Synapses

Herbst, Ruth; Huijbers, Maartje G; Oury, Julien; Burden, Steven J
A coordinated and complex interplay of signals between motor neurons, skeletal muscle cells, and Schwann cells controls the formation and maintenance of neuromuscular synapses. Deficits in the signaling pathway for building synapses, caused by mutations in critical genes or autoantibodies against key proteins, are responsible for several neuromuscular diseases, which cause muscle weakness and fatigue. Here, we describe the role that four key genes, Agrin, Lrp4, MuSK, and Dok7, play in this signaling pathway, how an understanding of their mechanisms of action has led to an understanding of several neuromuscular diseases, and how this knowledge has contributed to emerging therapies for treating neuromuscular diseases.
PMCID:11065174
PMID: 38697654
ISSN: 1943-0264
CID: 5655972

Neuronal hypofunction and network dysfunction in a mouse model at an early stage of tauopathy

Ji, Changyi; Yang, Xiaofeng; Eleish, Mohamed; Jiang, Yixiang; Tetlow, Amber M; Song, Soomin C; Martín-Ávila, Alejandro; Wu, Qian; Zhou, Yanmei; Gan, Wenbiao; Lin, Yan; Sigurdsson, Einar M
UNLABELLED:activity deficits but failed to rescue altered network changes. Taken together, substantial neuronal and network dysfunction occurred in the early stage of tauopathy that was partially alleviated with acute tau antibody treatment, which highlights the importance of functional assessment when evaluating the therapeutic potential of tau antibodies. HIGHLIGHTS/UNASSIGNED:Layer 2/3 motor cortical neurons exhibited hypofunction in awake and behaving mice at the early stage of tauopathy.Altered neuronal network activity disrupted local circuitry engagement in tauopathy mice during treadmill running.Layer 2/3 motor cortical neurons in tauopathy mice exhibited enhanced neuronal excitability and altered excitatory synaptic transmissions.Acute tau antibody treatment reduced pathological tau and gliosis, and partially restored neuronal hypofunction profiles but not network dysfunction.
PMCID:11092661
PMID: 38746288
CID: 5664362

Apolipoprotein E2 Expression Alters Endosomal Pathways in a Mouse Model With Increased Brain Exosome Levels During Aging

Peng, Katherine Y; Liemisa, Braison; Pasato, Jonathan; D'Acunzo, Pasquale; Pawlik, Monika; Heguy, Adriana; Penikalapati, Sai C; Labuza, Amanda; Pidikiti, Harshitha; Alldred, Melissa J; Ginsberg, Stephen D; Levy, Efrat; Mathews, Paul M
The polymorphic APOE gene is the greatest genetic determinant of sporadic Alzheimer's disease risk: the APOE4 allele increases risk, while the APOE2 allele is neuroprotective compared with the risk-neutral APOE3 allele. The neuronal endosomal system is inherently vulnerable during aging, and APOE4 exacerbates this vulnerability by driving an enlargement of early endosomes and reducing exosome release in the brain of humans and mice. We hypothesized that the protective effects of APOE2 are, in part, mediated through the endosomal pathway. Messenger RNA analyses showed that APOE2 leads to an enrichment of endosomal pathways in the brain when compared with both APOE3 and APOE4. Moreover, we show age-dependent alterations in the recruitment of key endosomal regulatory proteins to vesicle compartments when comparing APOE2 to APOE3. In contrast to the early endosome enlargement previously shown in Alzheimer's disease and APOE4 models, we detected similar morphology and abundance of early endosomes and retromer-associated vesicles within cortical neurons of aged APOE2 targeted-replacement mice compared with APOE3. Additionally, we observed increased brain extracellular levels of endosome-derived exosomes in APOE2 compared with APOE3 mice during aging, consistent with enhanced endosomal cargo clearance by exosomes to the extracellular space. Our findings thus demonstrate that APOE2 enhances an endosomal clearance pathway, which has been shown to be impaired by APOE4 and which may be protective due to APOE2 expression during brain aging.
PMCID:11141728
PMID: 38777335
ISSN: 1600-0854
CID: 5654732

New use of thiazide diuretics vs. nonthiazide antihypertensive drugs was linked to hyponatremia over 2 y

Mehta, Mansi; Goldfarb, David S
Andersson NW, Wohlfahrt J, Feenstra B, et al. Cumulative incidence of thiazide-induced hyponatremia: a population-based cohort study. Ann Intern Med. 2024;177:1-11. 38109740.
PMID: 38710078
ISSN: 1539-3704
CID: 5654042

Single-Domain Antibody-Based Protein Degrader for Synucleinopathies

Jiang, Yixiang; Lin, Yan; Tetlow, Amber M; Pan, Ruimin; Ji, Changyi; Kong, Xiang-Peng; Congdon, Erin E; Sigurdsson, Einar M
Synucleinopathies are a group of neurodegenerative diseases characterized by the accumulation of α-synuclein (α-syn) in the brain, leading to motor and neuropsychiatric symptoms. Currently, there are no known cures for synucleinopathies, and treatments mainly focus on symptom management. In this study, we developed a single-domain antibody (sdAb)-based protein degrader with features designed to enhance proteasomal degradation of α-syn. This sdAb derivative targets both α-syn and Cereblon (CRBN), a substrate-receptor for the E3-ubiquitin ligase CRL4CRBN, and thereby induces α-syn ubiquitination and proteasomal degradation. Our results indicate that this therapeutic candidate enhances proteasomal degradation of α-syn, in addition to the endogenous lysosomal degradation machinery. By promoting proteasomal degradation of α-syn, we improved clearance of α-syn in primary culture and mouse models of synucleinopathy. These findings indicate that our sdAb-based protein degrader is a promising therapeutic candidate for synucleinopathies. Considering that only a small percentage of antibodies enter the brain, more potent sdAbs with greater brain entry than whole antibodies could enhance clinical benefits of antibody-based therapies.
PMCID:10979981
PMID: 38558982
CID: 5664352

Functional specialization of hippocampal somatostatin-expressing interneurons

Chamberland, Simon; Grant, Gariel; Machold, Robert; Nebet, Erica R; Tian, Guoling; Stich, Joshua; Hanani, Monica; Kullander, Klas; Tsien, Richard W
Hippocampal somatostatin-expressing (Sst) GABAergic interneurons (INs) exhibit considerable anatomical and functional heterogeneity. Recent single-cell transcriptome analyses have provided a comprehensive Sst-IN subpopulations census, a plausible molecular ground truth of neuronal identity whose links to specific functionality remain incomplete. Here, we designed an approach to identify and access subpopulations of Sst-INs based on transcriptomic features. Four mouse models based on single or combinatorial Cre- and Flp- expression differentiated functionally distinct subpopulations of CA1 hippocampal Sst-INs that largely tiled the morpho-functional parameter space of the Sst-INs superfamily. Notably, the Sst;;Tac1 intersection revealed a population of bistratified INs that preferentially synapsed onto fast-spiking interneurons (FS-INs) and were sufficient to interrupt their firing. In contrast, the Ndnf;;Nkx2-1 intersection identified a population of oriens lacunosum-moleculare INs that predominantly targeted CA1 pyramidal neurons, avoiding FS-INs. Overall, our results provide a framework to translate neuronal transcriptomic identity into discrete functional subtypes that capture the diverse specializations of hippocampal Sst-INs.
PMID: 38640347
ISSN: 1091-6490
CID: 5726302

FastMRI Prostate: A public, biparametric MRI dataset to advance machine learning for prostate cancer imaging

Tibrewala, Radhika; Dutt, Tarun; Tong, Angela; Ginocchio, Luke; Lattanzi, Riccardo; Keerthivasan, Mahesh B; Baete, Steven H; Chopra, Sumit; Lui, Yvonne W; Sodickson, Daniel K; Chandarana, Hersh; Johnson, Patricia M
Magnetic resonance imaging (MRI) has experienced remarkable advancements in the integration of artificial intelligence (AI) for image acquisition and reconstruction. The availability of raw k-space data is crucial for training AI models in such tasks, but public MRI datasets are mostly restricted to DICOM images only. To address this limitation, the fastMRI initiative released brain and knee k-space datasets, which have since seen vigorous use. In May 2023, fastMRI was expanded to include biparametric (T2- and diffusion-weighted) prostate MRI data from a clinical population. Biparametric MRI plays a vital role in the diagnosis and management of prostate cancer. Advances in imaging methods, such as reconstructing under-sampled data from accelerated acquisitions, can improve cost-effectiveness and accessibility of prostate MRI. Raw k-space data, reconstructed images and slice, volume and exam level annotations for likelihood of prostate cancer are provided in this dataset for 47468 slices corresponding to 1560 volumes from 312 patients. This dataset facilitates AI and algorithm development for prostate image reconstruction, with the ultimate goal of enhancing prostate cancer diagnosis.
PMID: 38643291
ISSN: 2052-4463
CID: 5726322