Acute influenza a virus-associated encephalitis with bilateral lateral geniculate body hemorrhagic infarction-complicating pregnancy

Puppala, Goutham Kumar; Prabhu, Akshata; Gorthi, Shankar Prasad; Chandran, Vijay

doi:10.4103/aian.aian_319_18

Cited by 4 publications

(4 citation statements)

References 9 publications

(11 reference statements)

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“…We also identified 14 phenotypes whose known risk genes were enriched in our identified 141 TWAS risk genes. Especially, brain lesions such as functional laterality, intracerebral hemorrhage, and white matter microstructure have been reported to be associated with AD by previous studies [55][56][57][58]. Biomarkers such as complete blood cell count, leukocyte count, myeloid white cell count, and eosinophil count were shown to be related to AD [60][61][62][63], suggesting a complex interplay among genetic, transcriptomic, metabolic, and inflammatory risk factors in the pathogenesis of AD.…”

Section: Discussionmentioning

confidence: 99%

“…According to a high-resolution MRI study, lack of the laterality shift in limbic system and early loss of asymmetry in entorhinal cortex could be biomarkers to identify preclinical AD [55]. Several studies found that the risk of dementia increased significantly after intracerebral hemorrhage [56,57]. A study observed microstructural damage of white matter in AD brains [58].…”

Section: Phenotype Enrichment Analysismentioning

confidence: 99%

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Bayesian genome-wide TWAS with reference transcriptomic data of brain and blood tissues identified 141 risk genes for Alzheimer’s disease dementia

Guo,

Yang

2024

Alz Res Therapy

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Background Transcriptome-wide association study (TWAS) is an influential tool for identifying genes associated with complex diseases whose genetic effects are likely mediated through transcriptome. TWAS utilizes reference genetic and transcriptomic data to estimate effect sizes of genetic variants on gene expression (i.e., effect sizes of a broad sense of expression quantitative trait loci, eQTL). These estimated effect sizes are employed as variant weights in gene-based association tests, facilitating the mapping of risk genes with genome-wide association study (GWAS) data. However, most existing TWAS of Alzheimer's disease (AD) dementia are limited to studying only cis-eQTL proximal to the test gene. To overcome this limitation, we applied the Bayesian Genome-wide TWAS (BGW-TWAS) method to leveraging both cis- and trans- eQTL of brain and blood tissues, in order to enhance mapping risk genes for AD dementia. Methods We first applied BGW-TWAS to the Genotype-Tissue Expression (GTEx) V8 dataset to estimate cis- and trans- eQTL effect sizes of the prefrontal cortex, cortex, and whole blood tissues. Estimated eQTL effect sizes were integrated with the summary data of the most recent GWAS of AD dementia to obtain BGW-TWAS (i.e., gene-based association test) p-values of AD dementia per gene per tissue type. Then we used the aggregated Cauchy association test to combine TWAS p-values across three tissues to obtain omnibus TWAS p-values per gene. Results We identified 85 significant genes in prefrontal cortex, 82 in cortex, and 76 in whole blood that were significantly associated with AD dementia. By combining BGW-TWAS p-values across these three tissues, we obtained 141 significant risk genes including 34 genes primarily due to trans-eQTL and 35 mapped risk genes in GWAS Catalog. With these 141 significant risk genes, we detected functional clusters comprised of both known mapped GWAS risk genes of AD in GWAS Catalog and our identified TWAS risk genes by protein-protein interaction network analysis, as well as several enriched phenotypes related to AD. Conclusion We applied BGW-TWAS and aggregated Cauchy test methods to integrate both cis- and trans- eQTL data of brain and blood tissues with GWAS summary data, identifying 141 TWAS risk genes of AD dementia. These identified risk genes provide novel insights into the underlying biological mechanisms of AD dementia and potential gene targets for therapeutics development.

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Section: Discussionmentioning

confidence: 99%

Section: Phenotype Enrichment Analysismentioning

confidence: 99%

Bayesian genome-wide TWAS with reference transcriptomic data of brain and blood tissues identified 141 risk genes for Alzheimer’s disease dementia

Guo,

Yang

2024

Alz Res Therapy

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“…1 However, it has also been described as a cause for complete blindness after watershed infarction in hypotensive patients. Underlying problems were septic shock because of influenza 2 or gastrointestinal infection, 3 anaphylactic shock, 4 and distributive shock because of pancreatitis. 5…”

Section: Discussionmentioning

confidence: 99%

Loss of Vision Because of Bilateral Lateral Geniculate Body Infarction After Traumatic Brain Injury

et al. 2021

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“…Other causes of LGB lesions include astrocytoma (3), bilateral geniculitis associated with diarrhea (8), syphilitic arteritis (9), myelinolysis (2,10,11), influenza virus infection (12,13), and arteriovenous malformation (1). In one report of a patient with central pontine myelinolysis and damage to both LGBs, automated perimetry revealed an hourglass-shaped field defect in each eye, consistent with what would be expected in bilateral anterior choroidal artery infarction (2).…”

mentioning

confidence: 99%

Characteristic Visual Field Defect From Lateral Geniculate Body Stroke

Naguib¹,

Woodland²,

Foroozan³

2021

Journal of Neuro-Ophthalmology

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A 58-year-old man presented with a complaint of subjective visual field loss on the right side and hypertensive emergency. Examination revealed a right homonymous hemianopia. Computed tomography imaging revealed an acute stroke of the left lateral geniculate body. A few months later, automated perimetry revealed characteristic visual field changes associated with this lesion. In this report, the anatomy, pathophysiology, clinical findings, and previously reported etiologies of lateral geniculate body lesions are reviewed.

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Acute influenza a virus-associated encephalitis with bilateral lateral geniculate body hemorrhagic infarction-complicating pregnancy

Cited by 4 publications

References 9 publications

Bayesian genome-wide TWAS with reference transcriptomic data of brain and blood tissues identified 141 risk genes for Alzheimer’s disease dementia

Bayesian genome-wide TWAS with reference transcriptomic data of brain and blood tissues identified 141 risk genes for Alzheimer’s disease dementia

Loss of Vision Because of Bilateral Lateral Geniculate Body Infarction After Traumatic Brain Injury

Characteristic Visual Field Defect From Lateral Geniculate Body Stroke

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