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Status |
Public on Nov 15, 2024 |
Title |
Oxidative Stress and Inflammation-Related mRNAs Are Elevated in Serum of a Finnish Wet Age-Related Macular Degeneration Cohort |
Organism |
Homo sapiens |
Experiment type |
Expression profiling by high throughput sequencing
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Summary |
Purpose: Localized diseases are affected by and affect the systemic environment via blood circulation. In our studies, we explored the differences in different types of circulating serum RNAs between wet age-related macular degeneration (wAMD) patients and controls. Methods: Blood samples were obtained from 60 Finnish wAMD patients and 64 controls. After serum preparation and RNA sequencing, the count data was examined for differentially expressed genes (DEGs) and further checked for enriched molecular pathways and ontology terms as well as links to clinical data. Results: In our mRNA study, we found many DEGs and some enriched pathways, including the inflammation and cell survival-associated pathway tumor necrosis factor alpha (TNFA) signaling via nuclear factor kappa-light-chain-enhancer of activated B cells (NFκB). The related DEGs were oxidized low-density lipoprotein receptor 1 (OLR1), salt inducible kinase 1 (SIK1), and coagulation factor III (F3). DEGs from degradative macular and retinal processes were also examined, many of which were also related to cardiovascular disease and maintenance. Additionally, DEG counts were inspected in relation to clinical and anti-vascular endothelial growth factor (anti-VEGF) treatment parameters, and glutamine amidotransferase-like class 1 domain-containing 3A (GATD3A) levels were found to be significantly lower in wAMD patients who had been receiving anti-VEGF treatments compared to those who had not yet received any. Conclusions: Since regulatory factors of mitochondrial function, oxidative stress, and inflammation have a significant role in the pathology of AMD, our mRNA study results may support the presence of interplay between systemic factors and wAMD development and progression.
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Overall design |
Blood serum samples from wet age-related macular degeneration and control patients (cataract surgery patients without signs of retinal degeneration) were sequenced (one sample per patient) and total RNA counts were extracted. DESeq2 analysis was used to find differentially expressed genes / RNAs from filtered datasets, such as mRNAs, between the two patient groups as per the package documentation. In the mRNA study, an additional model with the additions of sampling age, BMI, gender, and smoking habits was also created.
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Contributor(s) |
Liukkonen M, Heloterä H, Siintamo L, Ghimire B, Mattila P, Kivinen N, Kostanek J, Watala C, Hytti M, Hyttinen J, Koskela A, Blasiak J, Kaarniranta K |
Citation(s) |
39546296 |
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Submission date |
Jul 30, 2024 |
Last update date |
Nov 18, 2024 |
Contact name |
Kai Kaarniranta |
Organization name |
University of Eastern Finland
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Department |
Department of Ophthalmology
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Lab |
Kaarniranta Lab
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Street address |
Yliopistonrinne 3
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City |
Kuopio |
ZIP/Postal code |
70211 |
Country |
Finland |
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Platforms (1) |
GPL24676 |
Illumina NovaSeq 6000 (Homo sapiens) |
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Samples (124)
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GSM8428244 |
wAMD patient, female, sampling age 70, ID=A721 |
GSM8428245 |
wAMD patient, female, sampling age 68, ID=A722 |
GSM8428246 |
wAMD patient, male, sampling age 72, ID=A723 |
GSM8428247 |
wAMD patient, female, sampling age 77, ID=A724 |
GSM8428248 |
wAMD patient, male, sampling age 74, ID=A725 |
GSM8428249 |
wAMD patient, female, sampling age 84, ID=A726 |
GSM8428250 |
wAMD patient, female, sampling age 84, ID=A727 |
GSM8428251 |
wAMD patient, female, sampling age 89, ID=A728 |
GSM8428252 |
wAMD patient, female, sampling age 69, ID=A729 |
GSM8428253 |
wAMD patient, male, sampling age 80, ID=A730 |
GSM8428254 |
wAMD patient, male, sampling age 76, ID=A731 |
GSM8428255 |
wAMD patient, female, sampling age 73, ID=A733 |
GSM8428256 |
wAMD patient, female, sampling age 86, ID=A734 |
GSM8428257 |
wAMD patient, male, sampling age 71, ID=A735 |
GSM8428258 |
wAMD patient, female, sampling age 89, ID=A736 |
GSM8428259 |
wAMD patient, male, sampling age 81, ID=A737 |
GSM8428260 |
wAMD patient, female, sampling age 63, ID=A738 |
GSM8428261 |
wAMD patient, male, sampling age 73, ID=A739 |
GSM8428262 |
wAMD patient, female, sampling age 85, ID=A741 |
GSM8428263 |
wAMD patient, female, sampling age 70, ID=A742 |
GSM8428264 |
wAMD patient, female, sampling age 91, ID=A743 |
GSM8428265 |
wAMD patient, female, sampling age 62, ID=A744 |
GSM8428266 |
wAMD patient, female, sampling age 72, ID=A745 |
GSM8428267 |
wAMD patient, female, sampling age 81, ID=A746 |
GSM8428268 |
wAMD patient, female, sampling age 93, ID=A747 |
GSM8428269 |
wAMD patient, female, sampling age 77, ID=A748 |
GSM8428270 |
wAMD patient, female, sampling age 77, ID=A749 |
GSM8428271 |
wAMD patient, female, sampling age 73, ID=A752 |
GSM8428272 |
wAMD patient, female, sampling age 66, ID=A753 |
GSM8428273 |
wAMD patient, female, sampling age 92, ID=A754 |
GSM8428274 |
wAMD patient, female, sampling age 96, ID=A755 |
GSM8428275 |
wAMD patient, male, sampling age 78, ID=A757 |
GSM8428276 |
wAMD patient, female, sampling age 84, ID=A758 |
GSM8428277 |
wAMD patient, female, sampling age 89, ID=A759 |
GSM8428278 |
wAMD patient, female, sampling age 83, ID=A760 |
GSM8428279 |
wAMD patient, female, sampling age 75, ID=A761 |
GSM8428280 |
wAMD patient, female, sampling age 86, ID=A762 |
GSM8428281 |
wAMD patient, female, sampling age 88, ID=A763 |
GSM8428282 |
wAMD patient, male, sampling age 78, ID=A764 |
GSM8428283 |
wAMD patient, male, sampling age 91, ID=A765 |
GSM8428284 |
wAMD patient, female, sampling age 80, ID=A766 |
GSM8428285 |
wAMD patient, male, sampling age 86, ID=A767 |
GSM8428286 |
wAMD patient, male, sampling age 58, ID=A768 |
GSM8428287 |
control patient, female, sampling age 88, ID=C769 |
GSM8428288 |
wAMD patient, male, sampling age 70, ID=A770 |
GSM8428289 |
wAMD patient, female, sampling age 75, ID=A771 |
GSM8428290 |
control patient, male, sampling age 65, ID=C772 |
GSM8428291 |
control patient, female, sampling age 83, ID=C773 |
GSM8428292 |
control patient, female, sampling age 72, ID=C774 |
GSM8428293 |
control patient, female, sampling age 79, ID=C775 |
GSM8428294 |
control patient, female, sampling age 84, ID=C776 |
GSM8428295 |
wAMD patient, male, sampling age 76, ID=A777 |
GSM8428296 |
wAMD patient, female, sampling age 79, ID=A778 |
GSM8428297 |
wAMD patient, female, sampling age 85, ID=A779 |
GSM8428298 |
wAMD patient, male, sampling age 82, ID=A780 |
GSM8428299 |
wAMD patient, female, sampling age 79, ID=A781 |
GSM8428300 |
control patient, female, sampling age 85, ID=C782 |
GSM8428301 |
control patient, male, sampling age 67, ID=C783 |
GSM8428302 |
control patient, male, sampling age 71, ID=C784 |
GSM8428303 |
control patient, female, sampling age 70, ID=C785 |
GSM8428304 |
wAMD patient, female, sampling age 93, ID=A786 |
GSM8428305 |
control patient, female, sampling age 87, ID=C787 |
GSM8428306 |
control patient, male, sampling age 57, ID=C788 |
GSM8428307 |
control patient, female, sampling age 73, ID=C789 |
GSM8428308 |
control patient, male, sampling age 87, ID=C790 |
GSM8428309 |
control patient, female, sampling age 77, ID=C791 |
GSM8428310 |
wAMD patient, female, sampling age 91, ID=A792 |
GSM8428311 |
wAMD patient, female, sampling age 88, ID=A793 |
GSM8428312 |
wAMD patient, female, sampling age 62, ID=A794 |
GSM8428313 |
control patient, female, sampling age 77, ID=C795 |
GSM8428314 |
control patient, female, sampling age 74, ID=C798 |
GSM8428315 |
wAMD patient, male, sampling age 90, ID=A799 |
GSM8428316 |
control patient, male, sampling age 69, ID=C800 |
GSM8428317 |
wAMD patient, male, sampling age 66, ID=A801 |
GSM8428318 |
control patient, female, sampling age 93, ID=C802 |
GSM8428319 |
control patient, female, sampling age 61, ID=C805 |
GSM8428320 |
control patient, male, sampling age 83, ID=C807 |
GSM8428321 |
wAMD patient, female, sampling age 67, ID=A808 |
GSM8428322 |
wAMD patient, male, sampling age 71, ID=A810 |
GSM8428323 |
wAMD patient, female, sampling age 90, ID=A811 |
GSM8428324 |
control patient, male, sampling age 71, ID=C812 |
GSM8428325 |
wAMD patient, female, sampling age 95, ID=A813 |
GSM8428326 |
control patient, female, sampling age 77, ID=C814 |
GSM8428327 |
control patient, female, sampling age 77, ID=C815 |
GSM8428328 |
control patient, female, sampling age 84, ID=C816 |
GSM8428329 |
control patient, female, sampling age 72, ID=C817 |
GSM8428330 |
control patient, female, sampling age 63, ID=C818 |
GSM8428331 |
control patient, male, sampling age 82, ID=C821 |
GSM8428332 |
control patient, female, sampling age 81, ID=C822 |
GSM8428333 |
control patient, female, sampling age 74, ID=C824 |
GSM8428334 |
control patient, female, sampling age 77, ID=C826 |
GSM8428335 |
control patient, female, sampling age 78, ID=C827 |
GSM8428336 |
control patient, male, sampling age 75, ID=C828 |
GSM8428337 |
control patient, male, sampling age 73, ID=C829 |
GSM8428338 |
control patient, female, sampling age 79, ID=C830 |
GSM8428339 |
control patient, female, sampling age 82, ID=C831 |
GSM8428340 |
control patient, female, sampling age 77, ID=C832 |
GSM8428341 |
control patient, female, sampling age 72, ID=C833 |
GSM8428342 |
control patient, female, sampling age 83, ID=C834 |
GSM8428343 |
control patient, male, sampling age 72, ID=C835 |
GSM8428344 |
control patient, female, sampling age 74, ID=C836 |
GSM8428345 |
control patient, female, sampling age 70, ID=C837 |
GSM8428346 |
control patient, female, sampling age 73, ID=C838 |
GSM8428347 |
control patient, male, sampling age 84, ID=C839 |
GSM8428348 |
control patient, female, sampling age 75, ID=C840 |
GSM8428349 |
control patient, female, sampling age 76, ID=C841 |
GSM8428350 |
control patient, female, sampling age 80, ID=C842 |
GSM8428351 |
control patient, female, sampling age 76, ID=C843 |
GSM8428352 |
control patient, male, sampling age 80, ID=C844 |
GSM8428353 |
control patient, female, sampling age 82, ID=C845 |
GSM8428354 |
control patient, female, sampling age 76, ID=C846 |
GSM8428355 |
control patient, female, sampling age 73, ID=C847 |
GSM8428356 |
control patient, female, sampling age 83, ID=C848 |
GSM8428357 |
control patient, male, sampling age 78, ID=C849 |
GSM8428358 |
control patient, female, sampling age 72, ID=C850 |
GSM8428359 |
control patient, female, sampling age 81, ID=C851 |
GSM8428360 |
control patient, male, sampling age 76, ID=C852 |
GSM8428361 |
control patient, male, sampling age 79, ID=C853 |
GSM8428362 |
control patient, male, sampling age 69, ID=C854 |
GSM8428363 |
control patient, female, sampling age 81, ID=C855 |
GSM8428364 |
control patient, male, sampling age 57, ID=C856 |
GSM8428365 |
control patient, male, sampling age 69, ID=C857 |
GSM8428366 |
control patient, female, sampling age 83, ID=C858 |
GSM8428367 |
control patient, male, sampling age 67, ID=C859 |
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Relations |
BioProject |
PRJNA1141914 |
Supplementary file |
Size |
Download |
File type/resource |
GSE273435_processed_data_gene_counts.txt.gz |
2.5 Mb |
(ftp)(http) |
TXT |
SRA Run Selector |
Raw data are available in SRA |
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