Differences

This shows you the differences between two versions of the page.

--- neuroinflammation-related_genes [2025/07/02 18:51] – administrador
+++ neuroinflammation-related_genes [2025/07/02 18:56] (current) – administrador
@@ Line 36: / Line 36: @@
 | TREM2    | See above; frequently used in genetic studies of microglial response.    |
 | MMP9     | See above; associated with hemorrhagic transformation.                   |
-In a Mendelian Randomization study + in silico gene functional analysis
-Quanming Zhou et al.
-from the Department of Neurosurgery, Affiliated Hospital of Putian University, Putian, Fujian, China
-published in the [[International Journal of Neuroscience]]
-to determine whether neuroinflammation-related genes causally influence intracerebral hemorrhage (ICH) risk using two-sample Mendelian randomization (MR), and to explore underlying mechanisms via protein‑protein interaction (PPI), Gene Ontology (GO), and Gene Set Enrichment Analysis (GSEA).
-Increased expression of **CHUK** and **CTLA4** genes is causally associated with higher ICH risk in both EBI‑ICH and Finn‑ICH datasets (e.g., CHUK OR = 1.17–1.25; CTLA4 OR ≈ 1.23–1.29).
-These associations implicate NF‑κB signaling and immune regulation pathways.
-CHUK and CTLA4 may represent novel therapeutic targets for ICH intervention
-((Zhou Q, Wu S, Kang Y. Causal Associations Between Neuroinflammation-Related Genes and Intracerebral Hemorrhage: An Integrated Study of Mendelian Randomization and Gene Functional Analysis. Int J Neurosci. 2025 Jul 2:1-14. doi: 10.1080/00207454.2025.2529232. Epub ahead of print. PMID: 40601346.))
-===== Critical appraisal =====
-=== Strengths ===
-- **Robust MR design**: Use of two independent GWAS datasets (Ebi, Finn) enhances result validity.
-- **Consistent findings**: Both datasets showed similar effect sizes for CHUK and CTLA4.
-- **Functional follow-up**: PPI, GO, and GSEA reinforce biological plausibility, particularly NF‑κB and immune pathways.
-=== Limitations ===
-- **SNP significance threshold loosened**: Instrument selection used p < 5×10⁻⁶ — more permissive than standard genome‑wide (p < 5×10⁻⁸), potentially increasing weak instrument bias.
-- **Population limitation**: Both GWAS datasets are European-only; findings may not generalize to other ancestries.
-- **Gene expression inference**: MR infers expression effects indirectly—no direct transcriptomic or proteomic validation in brain tissues.
-- **No experimental validation**: While gene-level associations imply causality, functional studies (e.g. knockdown, inhibition) are necessary to prove therapeutic relevance.
-=== Intellectual rigor ===
-Authors presented sensitivity analyses (MR‑Egger, weighted median) and adjusted for pleiotropy. However, quantitative details on IV strength (e.g. F-statistics) and pleiotropy metrics (e.g. MR‑PRESSO outputs) are missing in the abstract — these should be transparently reported.
-===== Final verdict: 6.5 / 10 =====
-Good MR methodology and replication, biologically plausible pathways, but limited by relaxed instrument selection, lack of diverse populations, and no direct validation in clinical or experimental settings.
-===== Takeaway for practicing neurosurgeons =====
-Genetic upregulation of [[CHUK]] and [[CTLA4]] may predispose individuals to ICH via enhanced NF-κB-mediated [[neuroinflammation]]. Clinicians should watch for emerging therapies targeting these pathways—as they may offer future risk stratification tools or therapeutic targets.
-===== Bottom line =====
-This MR study identifies CHUK and CTLA4 as potential causal genetic contributors to ICH risk, supporting the role of NF‑κB–driven neuroinflammation in hemorrhagic stroke. Confirmatory functional and clinical studies are required before translation.