SynthesisInternational journal of molecular sciences2023
Proteins and Transcriptional Dysregulation of the Brain Extracellular Matrix in Parkinson's Disease: A Systematic Review.
Synthesis in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
25 citing papers in PubMed, 35 citations in OpenAlex.
- The Critical Period Microbiota Shape Brain Plasticity.Research square · 2026Article
- Dysregulation of the Extracellular Matrix in the Synaptic Pathology of Parkinson's Disease: Molecular Mechanisms and Novel Therapeutic Approaches.Life (Basel, Switzerland) · 2026Review
- The Critical Period Microbiota Shape Brain Plasticity.bioRxiv : the preprint server for biology · 2026Article
- Plasma proteomics for Parkinson's disease classification: cross-cohort benchmarking of proteomic, transcriptomic, and multimodal models.NPJ Parkinson's disease · 2026Article
- SNCA triplication disrupts proteostasis and extracellular architecture prior to neurodegeneration in human midbrain organoids.NPJ Parkinson's disease · 2026Article
- Uncovering Potential Druggable Targets in Coronary Atherosclerosis: A Proteome-Wide Mendelian Randomization Study With Cross-Platform and Experimental Validation.Cardiovascular therapeutics · 2026Article
- Advancements in bone marrow biopsy: the role of omics and artificial intelligence in hematologic diagnostics.Frontiers in medicine · 2026Review
- From Genome-Wide SNPs to Neuroimmune Crosstalk: Mapping the Genetic Landscape of IBD and Its Brain Overlap.Biology · 2025Article
- Integrative assessment of RNA sequencing and in silico analysis to pinpoint mRNAs, lncRNAs, and circRNAs interactions with miRNAs underlying arsenic-induced neurotoxicity.BMC genomics · 2025Article
- Long-read sequencing identifies ATXN3 repeat expansions, and transcriptomics reveals disease progression biomarkers and druggable targets for spinocerebellar ataxia type 3.BMC neurology · 2025Article
- Article
- Multi-omics insights into bone tissue injury and healing: bridging orthopedic trauma and regenerative medicine.Burns & trauma · 2025Review
- Differential gene expression patterns in Niemann-Pick Type C and Tay-Sachs diseases: Implications for neurodegenerative mechanisms.PloS one · 2025Article
- Construction of epilepsy diagnosis model based on cell senescence-related genes and its potential mechanism.Frontiers in neurology · 2025Article
- Intracellular α-synuclein assemblies are sufficient to alter nanoscale diffusion in the striatal extracellular space.NPJ Parkinson's disease · 2024Article
- Case Report: A Case of a Patient with Smith-Magenis Syndrome and Early-Onset Parkinson's Disease.International journal of molecular sciences · 2024Article
- A Systematic Review of Extracellular Matrix-Related Alterations in Parkinson's Disease.Brain sciences · 2024Review
- Integrated bioinformatics analysis for exploring potential biomarkers related to Parkinson's disease progression.BMC medical genomics · 2024Article
- Focusing on the tetra-partite synapse in Parkinson's disease research using human patient-derived neurons.Neural regeneration research · 2024Article
- Multifaceted collagen-DDR1 signaling in cancer.Trends in cell biology · 2024Review
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
The extracellular matrix (ECM) of the brain is a dynamic structure made up of a vast network of bioactive macromolecules that modulate cellular events. Structural, organizational, and functional changes in these macromolecules due to genetic variation or environmental stressors are thought to affect cellular functions and may result in disease. However, most mechanistic studies to date usually focus on the cellular aspects of diseases and pay less attention to the relevance of the processes governing the dynamic nature of the extracellular matrix in disease pathogenesis. Thus, due to the ECM's diversified biological roles, increasing interest in its involvement in disease, and the lack of sufficient compiled evidence regarding its relationship with Parkinson's disease (PD) pathology, we aimed to compile the existing evidence to boost the current knowledge on the area and provide refined guidance for the future research. Here, in this review, we gathered postmortem brain tissue and induced pluripotent stem cell (iPSC)-related studies from PubMed and Google Scholar to identify, summarize and describe common macromolecular alterations in the expression of brain ECM components in Parkinson's disease (PD). A literature search was conducted up until 10 February 2023. The overall hits from the database and manual search for proteomic and transcriptome studies were 1243 and 1041 articles, respectively. Following a full-text review, 10 articles from proteomic and 24 from transcriptomic studies were found to be eligible for inclusion. According to proteomic studies, proteins such as collagens, fibronectin, annexins, and tenascins were recognized to be differentially expressed in Parkinson's disease. Transcriptomic studies displayed dysregulated pathways including ECM-receptor interaction, focal adhesion, and cell adhesion molecules in Parkinson's disease. A limited number of relevant studies were accessed from our search, indicating that much work remains to be carried out to better understand the roles of the ECM in neurodegeneration and Parkinson's disease. However, we believe that our review will elicit focused primary studies and thus support the ongoing efforts of the discovery and development of diagnostic biomarkers as well as therapeutic agents for Parkinson's disease.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.