👤 Ehsan Dadgostar

Depression is a widespread neuropsychiatric disorder that significantly impacts emotional and cognitive function. Antidepressant medications are frequently accompanied by various adverse effects. C-phycocyanin has been previously shown to exert potent anti-inflammatory, and neuroprotective properties. Therefore, this study evaluated the therapeutic effects of C-phycocyanin against anxiety and depressive-like behaviors, and memory dysfunction in an animal model of chronic unpredictable mild stress (CUMS)-induced depression and explored the underlying mechanisms. Rats were daily exposed for six weeks to CUMS, during which phycocyanin (100 mg/kg, orally) was administered in the final three weeks of the study. Following the assessment of anxiety/ depressive-like behaviors, and memory dysfunction by the open field test (OFT), tail suspension test (TST), elevated plus maze (EPM), and passive avoidance test (PAT), rats were euthanized by decapitation. Then, hippocampal TNF-α and IL-1β concentrations, and hippocampal protein expressions (Iba-1, CD86, NF-κβ, CREB, and BDNF) were determined by an ELISA assay, and western blots, respectively. C-phycocyanin significantly decreased immobility time in OFT and TST, increased open arm time in EPM, and step-through latency time in PAT. Furthermore, C-phycocyanin suppressed CUMS-induced the M1 microglia polarization and neuroinflammation by reducing hippocampal TNF-α and IL-1β concentrations, and the protein expression of Iba-1, CD86, and NF-κβ in the hippocampus of CUMS-exposed rats. It also increased the hippocampal protein expression of CREB and BDNF. C-phycocyanin improved CUMS-induced anxiety and depressive-like behaviors, and memory dysfunction, which could be explained, at least in part, by inhibition of M1 microglial polarization and neuroinflammation, and enhancement of CREB/BDNF signaling. Show less

We tested whether spontaneous speech acoustics provide a scalable digital marker of biologically defined Alzheimer's disease (AD) risk. Forty-nine cognitively unimpaired older adults were stratified within APOE genotype into Low-, Moderate-, and High-Risk groups based on log₁₀-transformed plasma p-tau217. Acoustic features were extracted from spontaneous speech and entered into multiclass SVM classifiers with leave-one-out cross-validation, with and without genetic-algorithm feature selection and age. Parallel models using neuropsychological measures were evaluated for comparison. Feature contributions were interpreted using SHAP. Speech-based models substantially outperformed cognition-only models and exceeded chance performance for three-group classification (33.3%), achieving up to 77% accuracy compared with 47% for neuropsychological models. SHAP analyses identified a compact, stage-dependent acoustic signature dominated by voice-quality, spectral-envelope, and formant-bandwidth features, with age contributing secondary effects. Spontaneous speech acoustics capture p-tau217/APOE-defined AD risk despite preserved cognition, supporting speech as a scalable, biologically grounded biomarker for preclinical AD risk stratification. Show less

Alzheimer's disease (AD) is the most prevalent form of dementia and a major public health challenge. In the absence of a cure, accurate and innovative early diagnostic methods are essential for proactive life and healthcare planning. Speech metrics have shown promising potential for identifying individuals with mild cognitive impairment (MCI) and AD, prompting investigation into whether speech motor features can detect elevated risk even prior to cognitive decline. This preliminary study examined whether speech kinematic features measured during a color-word interference task could distinguish cognitively normal APOE-ε4 carriers (ε4 Sixteen cognitively normal older adults ( Although no group differences reached statistical significance after accounting for multiple testing, several features showed moderate effect sizes. The optimal SVM model achieved 87.5% cross-validated accuracy (precision 88.9%, sensitivity 88.9%, specificity 85.7%) using three features: (1) lip movement duration during the pre-interference segment, (2) average lip speed during interference, and (3) the change in lip movement range from pre- to during-interference segments (ΔDuring-Pre). These findings suggest that lip kinematic responses to mild cognitive-motor interference may capture subtle neuromotor differences associated with APOE-ε4 status in cognitively intact older adults. The identified features point to potential alterations in anticipatory motor planning, interference susceptibility, and articulatory adaptability in ε4 Show less

Clearance of accumulated protein aggregates is one of the functions of autophagy. Recently, a clearer understanding of non-coding RNAs (ncRNAs) functions documented that ncRNAs have important roles in several biological processes associated with the development and progression of neurodegenerative disorders. Subtypes of ncRNA, including microRNA (miRNA), long noncoding RNA (lncRNA), and circular RNA (circRNA), are commonly dysregulated in neurodegenerative disorders such as Alzheimer and Parkinson diseases. Dysregulation of these non-coding RNAs has been associated with inhibition or stimulation of autophagy. Decreased miR-124 led to decreased/increased autophagy in experimental model of Alzheimer and Parkinson diseases. Increased BACE1-AS showed enhanced autophagy in Alzheimer disease by targeting miR-214-3p, Beclin-1, LC3-I/LC3-II, p62, and ATG5. A significant increase in NEAT1led to stimulated autophagy in experimental model of PD by targeting PINK1, LC3-I, LC3-II, p62 and miR-374c-5p. In addition, increased BDNF-AS and SNHG1 decreased autophagy in MPTP-induced PD by targeting miR-125b-5p and miR-221/222, respectively. The upregulation of circNF1-419 and circSAMD4A resulted in an increased autophagy by regulating Dynamin-1 and miR-29c 3p, respectively. A detailed discussion of miRNAs, circRNAs, and lncRNAs in relation to their autophagy-related signaling pathways is presented in this study. Show less