E grade · PMID 41895089
View analysis →Finding therapies hidden in 1,516 Parkinson’s papers.
Neurocompute scores biomedical literature, surfaces overlooked patterns, and turns Parkinson’s research into a living discovery terminal.
Ranked discovery teasers
E grade · PMID 42017696
View analysis →E grade · PMID 42030627
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All ranked Parkinson’s papers
This study shows PD patients with depression exhibit pronounced oculomotor impairments—longer initiation times, slower smooth pursuit, and reduced saccade velocities—with average saccade velocity predicting depression (AUC 0.919) and negatively correlating with HAMD scores.
Identifies a noninvasive, objective biomarker (reduced saccade velocity) that could improve screening, stratification, and monitoring of depressive symptoms in PD—useful for clinical care and trial design—though it does not directly reveal therapeutic targets.
This study reports that bilingual early-stage idiopathic Parkinson's patients exhibit microstructural language deficits (lower MLU-M, more morphological errors and verbal fragmentation), pragmatic changes (fewer enrichment expressions, more exclamations), and altered prosody, with bilingualism…
Offers a noninvasive discourse-level behavioral biomarker for early/subclinical PD detection and patient stratification that could inform clinical assessments and outcome measures in trials, though it does not provide molecular mechanisms or direct therapeutic targets.
This prospective cohort study found that total electrical energy delivered (TEED) and programming parameters after subthalamic nucleus DBS differ by Parkinson's motor subtype, with tremor-dominant patients requiring the highest stimulation energy, followed by PIGD and mixed subtypes.
Findings support subtype-specific DBS programming to improve clinical efficacy and energy efficiency (battery life and device management), but the study offers limited direct insight for pharmacological target discovery or neuroprotective strategies.
Single-case report linking a heterozygous truncating CACNA1C variant to adult-onset combined dystonia–parkinsonism with improvement after GPi-DBS.
Points to Cav1.2 (CACNA1C) haploinsufficiency as a possible, clinically actionable contributor to movement disorders—supporting genetic testing and DBS consideration—but single-case data limit immediate translational impact for Parkinson's-targeted therapies.
Individual-patient meta-analysis of six European population-based PD incidence cohorts (n=883) reports median survival of 9.4 years, median time to postural instability/functional dependency ~7.4 years, ~50% dementia by 10 years, and identifies older age, higher MDS-UPDRS-III, lower MMSE, GBA…
While not mechanistic, the study provides robust, less-biased prognostic data and genetic predictors (GBA, APOE e4) that are valuable for clinical trial design, patient stratification/enrichment, and prioritizing subgroups for targeted therapeutic strategies.
In a small observational secondary analysis of PKG wearable data (n=25–30 complete cases), increased percent time in dyskinesia tended to associate with less improvement in total MDS‑UPDRS over routine treat‑to‑target care, but the adjusted effect was borderline (β=0.25 per 1% PTD, p=0.064) and…
Indicates wearable-derived dyskinesia burden may serve as a pragmatic digital biomarker to monitor and potentially guide PD treatment, offering translational clinical utility if confirmed in larger prospective studies.
The authors developed an anthracene-functionalized MCM-41 nanoparticle fluorescence sensor array to detect ATP and used pattern-recognition (LDA, ANN) on saliva samples to discriminate Parkinson's disease patients from controls (n=24 vs 23) with 73.7% sensitivity and 83.3% specificity.
Offers a noninvasive, ATP-focused salivary biomarker assay reflecting metabolic/mitochondrial perturbations relevant to PD that could support patient stratification or monitoring, but it has limited immediate therapeutic discovery impact and requires larger clinical validation.
In a 4-year prospective cohort of 93 patients with multiple system atrophy, higher baseline plasma neurofilament light chain (NfL) predicted faster motor decline, earlier attainment of disability milestones and increased mortality, whereas longitudinal NfL levels declined in mid-to-late disease and…
Establishes a blood-based prognostic biomarker useful for early-stage MSA patient stratification in clinical trials and outcome prediction—valuable for translational and trial design but offering limited direct therapeutic targets for Parkinson's drug discovery.
In a 5-year longitudinal analysis of prodromal PD participants from PPMI (61 with complete follow-up), lower baseline serum uric acid independently predicted incident depression (HR=0.776) after adjustment, alongside higher MDS‑UPDRS I scores.
This provides a prospective biomarker for early identification of depression risk in prodromal PD and implicates oxidative‑stress/urate pathways as mechanistically relevant and potentially targetable, though causality and therapeutic utility remain unproven and sample size is limited.
In a 12‑week randomized, double‑blind, placebo‑controlled trial of a nine‑strain probiotic in 61 people with PD and clinically significant anxiety, the probiotic did not reduce anxiety versus placebo, produced no detectable changes in gut microbiota composition or systemic inflammatory markers, but…
The negative primary outcome limits immediate therapeutic relevance, but the modest cognitive signal and gut–brain axis approach justify larger, mechanistically focused trials to assess microbiome‑based strategies for cognitive symptoms in PD.
Retrospective analysis of 1,315 PPMI participants found a nonlinear association between serum AST/ALT ratio and familial versus sporadic PD—strong above a threshold of 1.503—with a predictive model AUC of 0.758.
AST/ALT is an inexpensive, routinely available serum marker that could aid PD subtyping and trial stratification, offering translational potential despite limited mechanistic insight and the need for prospective validation.
This paper describes an industry–patient–advocacy collaboration that developed and refined educational materials and a knowledge-building guide to improve understanding of disease‑modifying therapies among people with early‑stage Parkinson’s, raising measured health literacy and readability.
While it contains no mechanistic or therapeutic findings, improving patient literacy and engagement around DMTs can boost recruitment, informed consent, and trial readiness—indirectly accelerating Parkinson’s therapeutic development.
Retrospective single-center study finds MRgFUS thalamotomy yields sustained, >50% tremor reduction with comparable safety and side-effect resolution in patients ≥80 versus younger patients.
Supports expanding a noninvasive, symptomatic treatment option to carefully selected very elderly patients with tremor-predominant Parkinson's disease, increasing clinical applicability though it offers no disease-modifying insights.
The study reports consistent up-regulation of tRNA-derived miR-1274b in tear fluid from small PD cohorts, with in-silico predicted targets and network links to synaptic regulation and PD-related genes.
Identifies a non-invasive biomarker candidate that could aid diagnosis or stratification, though small sample sizes and no functional validation limit immediate therapeutic or mechanistic utility.
In 176 FMR1 premutation carriers the authors report a linear relationship between CGG repeat length and FMR1 mRNA levels and show that larger repeats associate with greater neurological severity, with Parkinsonism and cognitive impairment significantly correlated with CGG size in males.
This links an RNA/toxic-gain-of-function mechanism and a genetic biomarker to parkinsonian manifestations in a defined subpopulation, which could help stratify patients or suggest mechanistic parallels for targeted research, but it offers limited immediate translational value for typical…
PD patients show a prolonged phase-average wavelength of alpha EEG rhythm—greater in those with cognitive impairment—and this measure correlates negatively with cognitive test scores.
Identifies a noninvasive EEG biomarker that could help detect and track cognitive decline and stratify patients in clinical studies, offering translational utility for outcome measurement though it does not directly inform molecular therapeutic targets.
This cross-sectional study found corneal epithelial thinning measured by AS-OCT correlates with dry eye severity and Hoehn & Yahr stage in Parkinson's patients.
Zonal corneal epithelial thickness mapping is a non-invasive biomarker candidate that could help disease staging and patient stratification in trials, but it offers limited direct mechanistic or therapeutic insight for Parkinson's drug discovery.
Overexpressing alpha-synuclein (SNCA) in non-small cell lung cancer cell lines increases oxidative stress and triggers caspase-dependent apoptosis, with squamous-cell lines more sensitive than adenocarcinoma lines.
Offers mechanistic cellular evidence that SNCA overexpression drives mitochondrial/oxidative-stress–linked, caspase-mediated cell death—insightful for understanding alpha-synuclein toxicity relevant to Parkinson's disease biology but of limited direct translational value because the work is in…
Introduces a novel gait-state time-interval (GSTI) signal derived from multizonal plantar load distribution and an Integrative Body Intelligence framework using spectral/bispectral features from insole sensors to classify Parkinson's disease with 94.44% accuracy and enable acoustic/visual…
Provides a promising noninvasive wearable method for early PD detection and individualized gait rehabilitation that could aid monitoring and trial stratification, but it offers little mechanistic or therapeutic-target insight for drug discovery.
The paper introduces a hierarchical coarse-to-fine conditional GAN that generates realistic, subtype-conditioned ankle-acceleration signals for the three FOG subtypes (shuffling, trembling, akinesia) to augment training data and substantially improve CNN-based FOG detection, particularly for…
Although it does not advance disease mechanisms or therapies directly, subtype-aware augmentation tackles data scarcity and class imbalance to enable more reliable, personalized FOG phenotyping and monitoring, which can improve outcome measurement and model-based endpoints in clinical studies and…