ArticleFrontiers in aging neuroscience2022
Predictive value of longitudinal changes of serum matrix metalloproteinase-9 and brain-derived neurotrophic factor in acute ischemic stroke.
Article in Frontiers in aging neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.
- Blood-based protein biomarkers during the acute ischemic stroke treatment window: a systematic review.Frontiers in neurology · 2024Pooled it
- Neurotrophins and Galectin-3: Hidden Keys in Neuroinflammation-A Narrative Review.International journal of molecular sciences · 2026Review
- BDNF-driven synaptic plasticity requires autocrine matrix metalloproteinase-9 activity.Science advances · 2025Article
- Identification of Matrix Metalloproteinase 3 as a Potential Biomarker for Dry Eye Disease.Translational vision science & technology · 2025Article
- Inflammatory proteins as acute biomarkers of post-traumatic epilepsy.Frontiers in neurology · 2025Article
- Exploring the Role of MMP-9 and MMP-9/TIMP-1 Ratio in Subacute Stroke Recovery: A Prospective Observational Study.International journal of molecular sciences · 2024Observational
- The role of neutrophils in tPA thrombolysis after stroke: a malicious troublemaker.Frontiers in immunology · 2024Review
- The multifaceted roles of activating transcription factor 3 (ATF3) in inflammatory responses - Potential target to regulate neuroinflammation in acute brain injury.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2023Review
- Circulating Serum VEGF, IGF-1 and MMP-9 and Expression of Their Genes as Potential Prognostic Markers of Recovery in Post-Stroke Rehabilitation-A Prospective Observational Study.Brain sciences · 2023Article
- Integrated bioinformatics and machine-learning screening for immune-related genes in diagnosing non-alcoholic fatty liver disease with ischemic stroke and RRS1 pan-cancer analysis.Frontiers in immunology · 2023Article
- A Short Review on Advances in Early Diagnosis and Treatment of Ischemic Stroke.Galen medical journal · 2023Review
- The role of miR-10b-5p/brain-derived neurotrophic factor axis deregulation in poststroke epileptogenesis.Frontiers in neurologyArticle
Corrections and comments
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Matrix metalloproteinase-9 (MMP-9) and brain-derived neurotrophic factor (BDNF) have documented roles in the inflammatory injury cascade of neurovascular units following ischemic brain injury. However, their dynamic changes and predictive values after acute ischemic stroke (AIS) have not been well elucidated. Objective: To investigate the temporal profiles of serum MMP-9 and BDNF concentrations and their relationship with the prognosis in patients with AIS. Methods: MMP-9 and BDNF levels were measured in 42 AIS patients in prospectively collected blood samples, which were taken on the first day (Day 1), the second day (Day 2), and the fifth day (Day 5) after admission. Healthy subjects ( Results: At baseline (Day 1), the levels of serum MMP-9 and BDNF were significantly higher in the AIS group than in the normal control group ( Conclusion: MMP-9 and BDNF are closely related to the prognosis of patients with AIS in a time-dependent manner. The dynamic changes of the two biomarkers are superior to baseline levels in predicting the prognosis of AIS patients. A sustained decrease in MMP-9 and an increase in BDNF levels in AIS patients after several days of treatment implied a favourable prognosis.
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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 Socratic graph.