Biology subjects

Abbas, A. A.

Publications and source records attributed to Abbas, A. A..

4 recordsLinked to original sources

bioRxiv2026

Rapid direct neuronal reprogramming of human dental pulp stem cells

Direct neuronal reprogramming offers an alternative to induced pluripotent stem cell-based differentiation by converting somatic cells directly into neurons without passage through pluripotency. However, commonly used fibroblast-based protocols are often slow and inefficient. Here, we evaluated human dental pulp stem cells (DPSCs), which originate from the cranial neural crest and possess intrinsic neurogenic potential, as a developmentally relevant source of induced neurons (iNs). Using an all-in-one lentiviral vector, we converted DPSCs into iNs within 17 days, compared with 28 days for fibroblasts reprogrammed with the same vector, and achieved significantly higher neuronal purity under the respective established protocols. Multi-omic profiling revealed coordinated suppression of mesenchymal and cell-cycle programs and induction of neuronal, synaptic, and metabolic pathways. Single-nucleus RNA sequencing resolved fibroblast-like, transitional, maturing neuronal, GABAergic-like, and alternative fates, while trajectory inference suggested divergent neuronal and non-neuronal conversion paths. Whole-cell recordings showed that a subset of DPSC-iNs developed early neuronal excitability and voltage-gated inward and outward currents. Together, our findings establish DPSCs as an accessible and developmentally relevant source for rapid direct neuronal conversion. This integrated molecular, single-nucleus, and electrophysiological characterization defines the cellular heterogeneity of DPSC-to-neuron reprogramming and provides a framework for protocol refinement and future patient-specific disease modeling.

neuroscience↗

bioRxiv2026

Cariprazine modulates intrinsic excitability and network dynamics of hippocampal neurons in a cell-type dependent manner

Schizophrenia is a severe psychiatric disorder associated with altered dopaminergic signaling and hippocampal circuit dysfunction. Although antipsychotic medications remain the standard treatment, many are limited by incomplete efficacy and adverse effects. Cariprazine, a dopamine D2/D3 receptor partial agonist, has a favorable clinical profile, but its effects on neuronal excitability and network activity remain incompletely understood. Here, we integrated nationwide real-world clinical data with in vitro electrophysiology, computational modeling, and molecular analyses to define the neuronal actions of cariprazine. Among Hungarian patients diagnosed with schizophrenia and receiving index-drug monotherapy with one of the three prespecified D2/D3 targeting antipsychotics, haloperidol was associated with worse survival and a higher cumulative incidence of first registered suicide attempt than cariprazine or aripiprazole in matched observational cohorts. In primary mouse hippocampal cultures, multielectrode array recordings showed that acute cariprazine treatment moderately reduced spontaneous firing in a dose-dependent manner and prolonged burst intervals while largely preserving network synchronization. These effects were milder than those of haloperidol and aripiprazole. Whole-cell patch-clamp recordings revealed cell-type-dependent effects, with reduced intrinsic excitability and increased firing irregularity mainly in regular- and stuttering-type neurons. Conductance-based modeling identified enhanced Kv1-mediated D-type potassium currents as sufficient to reproduce these effects. Consistent with this mechanism, chronic cariprazine treatment altered Kv1.2 protein distribution without changing Kcna2/Kcna3 or Drd1/Drd2/Drd3 transcript expression. These findings identify modulation of intrinsic excitability via Kv1/D-type potassium currents as a candidate cellular mechanism of cariprazine and provide a translational link between real-world evidence and circuit-level drug effects.

neuroscience↗

bioRxiv2025

Phosphoproteomic profiling reveals post-translational dysregulation in Huntington's disease patient-derived neurons

Huntingtons disease (HD) is a fatal neurodegenerative disorder caused by a CAG repeat expansion in the Huntingtin (HTT) gene. Although transcriptomic and proteomic changes have been characterized in patient-derived neurons, the contribution of post-translational modifications (PTMs), such as phosphorylation, remains poorly understood. Here, we present the first phosphoproteomic analysis by mass spectrometry (P-MS) of human induced neurons (iNs) directly reprogrammed from HD patient fibroblasts. We identified 177 phosphopeptides with significantly altered abundance in HD-iNs, mapping to phosphoproteins associated with key signaling pathways known to be affected in HD, such as splicing and autophagy. By integrating P-MS data with previously published proteomic and transcriptomic data from the same donors, we identified distinct subsets of ON-OFF phosphopeptides that exhibited a complete loss of phosphorylation in either HD- or Ctrl-iNs, without corresponding changes at the RNA or protein level. An exception was MXRA8, previously described in glial cells as a mediator of blood-brain barrier integrity and astrocyte-mediated neuroinflammation. This protein showed increased protein abundance despite the absence of phosphorylation in HD- iNs, suggesting a compensatory mechanism - a pattern also observed in human post mortem cortical HD tissue. Additionally, MXRA8 showed altered protein-protein interactions with lysosomal and metabolic regulators in HD-iNs, highlighting its potential role in autophagy impairment as well as in neurovascular dysfunction. These findings uncover a distinct layer of post-translational dysregulation in HD, suggesting that phospho-switch proteins such as MXRA8 may be candidate effectors of pathology and thus site-specific phosphorylation loss may contribute to impaired signaling and proteostasis in human HD neurons.

neuroscience↗

bioRxiv2025

Human brain cell-type-specific aging clocks based on single-nuclei transcriptomics

Aging is the primary risk factor for most neurodegenerative diseases, yet the cell-type-specific progression of brain aging remains poorly understood. Here, we developed human cell-type-specific transcriptomic aging clocks using high-quality single-nucleus RNA sequencing data from post mortem human prefrontal cortex tissue of 31 donors aged 18 - 94 years, encompassing 73,941 high-quality nuclei. We observed distinct transcriptomic changes across major cell types, including upregulation of inflammatory response genes in microglia from older samples. Aging clocks trained on each major cell type accurately predicted chronological age and remained robust in independent single-nucleus RNA-sequencing datasets, underscoring their broad applicability. These findings demonstrate the feasibility of cell-type-specific transcriptomic clocks to measure biological aging in the human brain and highlight potential mechanisms of selective vulnerability in neurodegenerative diseases. We anticipate these clocks will serve as a basis for further studies in other brain regions and more diverse populations, ultimately advancing our understanding of age-related neurodegenerative processes at the single-cell level.

neuroscience↗