A 2026 PNAS study found that TMEM175 behaves as a pH-sensitive lysosomal channel relevant to Parkinson’s risk biology.1 Acidifying the luminal side from pH 7.4 to 4.7 activated proton conductance, shifted reversal potential, and tied H57 to H+ and K+ flux. Research Highlights Acidification activated TMEM175: lowering luminal-side pH from 7.4 to 4.7 increased inward …
A 2026 EEG-ECG preprint reported that beta efficiency-sympathetic coupling differed across healthy young adults, healthy older adults, and Parkinson’s disease patients, p = 0.0032, while gamma efficiency-sympathetic coupling differed at p = 0.0003.1 The main claim is that motor, cognitive, and autonomic physiology may be coupled tightly enough to deserve biomarker-level study. Research Highlights Brain-heart …
A 2026 iScience study recorded 27 substantia nigra neurons during deep-brain-stimulation surgery in 11 Parkinson’s disease patients and found that prior reward shaped both putative dopamine-neuron firing and the next reaction time: responses were faster after a +$10 outcome than after neutral or negative outcomes (0.916 s vs. 1.017 s, p = 0.0175).1 Research Highlights …
A 2026 open-label feasibility trial involving 5 Parkinson’s disease patients found that app-randomized levodopa timing was associated with a mean 4.4-point improvement on the Unified Parkinson’s Disease Rating Scale, but the signal missed conventional statistical significance at p = 0.063.1 The narrow conclusion is feasibility: this was a dosing experiment that justified a blinded controlled …
A 2026 Drosophila Parkinson’s model exposed male and female flies to 500 μM rotenone. By 60 days, male flies had worse survival/climbing than female flies; the paper is a vulnerability screen, not evidence that the same genes are ready human biomarkers.1 Research Highlights 500 μM rotenone split male and female flies: Iyer et al. used …
A 2026 Parkinson’s disease study used gene-expression data and genome-scale metabolic modeling to predict patient-level metabolite patterns, then separated 104 patients into 3 metabolic subgroups that were partly reproduced in an independent 81-patient validation dataset. Research Highlights Patient-level modeling found heterogeneity: Abdik et al. predicted secretion tendencies for 802 analyzable metabolites across 104 postmortem substantia …
A 2026 medRxiv preprint found that REDDI, a resting-state magnetoencephalography machine-learning pipeline, separated mild cognitive impairment, multiple sclerosis, Parkinson’s disease, and amyotrophic lateral sclerosis with 0.81 ± 0.04 balanced accuracy across 5 folds.1 That is a meaningful jump over the prior 67.1% MEG benchmark, but it is still research-stage decision support rather than a clinical …