31 research outputs found

    The whole blood transcriptional regulation landscape in 465 COVID-19 infected samples from Japan COVID-19 Task Force

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    「コロナ制圧タスクフォース」COVID-19患者由来の血液細胞における遺伝子発現の網羅的解析 --重症度に応じた遺伝子発現の変化には、ヒトゲノム配列の個人差が影響する--. 京都大学プレスリリース. 2022-08-23.Coronavirus disease 2019 (COVID-19) is a recently-emerged infectious disease that has caused millions of deaths, where comprehensive understanding of disease mechanisms is still unestablished. In particular, studies of gene expression dynamics and regulation landscape in COVID-19 infected individuals are limited. Here, we report on a thorough analysis of whole blood RNA-seq data from 465 genotyped samples from the Japan COVID-19 Task Force, including 359 severe and 106 non-severe COVID-19 cases. We discover 1169 putative causal expression quantitative trait loci (eQTLs) including 34 possible colocalizations with biobank fine-mapping results of hematopoietic traits in a Japanese population, 1549 putative causal splice QTLs (sQTLs; e.g. two independent sQTLs at TOR1AIP1), as well as biologically interpretable trans-eQTL examples (e.g., REST and STING1), all fine-mapped at single variant resolution. We perform differential gene expression analysis to elucidate 198 genes with increased expression in severe COVID-19 cases and enriched for innate immune-related functions. Finally, we evaluate the limited but non-zero effect of COVID-19 phenotype on eQTL discovery, and highlight the presence of COVID-19 severity-interaction eQTLs (ieQTLs; e.g., CLEC4C and MYBL2). Our study provides a comprehensive catalog of whole blood regulatory variants in Japanese, as well as a reference for transcriptional landscapes in response to COVID-19 infection

    DOCK2 is involved in the host genetics and biology of severe COVID-19

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    「コロナ制圧タスクフォース」COVID-19疾患感受性遺伝子DOCK2の重症化機序を解明 --アジア最大のバイオレポジトリーでCOVID-19の治療標的を発見--. 京都大学プレスリリース. 2022-08-10.Identifying the host genetic factors underlying severe COVID-19 is an emerging challenge. Here we conducted a genome-wide association study (GWAS) involving 2, 393 cases of COVID-19 in a cohort of Japanese individuals collected during the initial waves of the pandemic, with 3, 289 unaffected controls. We identified a variant on chromosome 5 at 5q35 (rs60200309-A), close to the dedicator of cytokinesis 2 gene (DOCK2), which was associated with severe COVID-19 in patients less than 65 years of age. This risk allele was prevalent in East Asian individuals but rare in Europeans, highlighting the value of genome-wide association studies in non-European populations. RNA-sequencing analysis of 473 bulk peripheral blood samples identified decreased expression of DOCK2 associated with the risk allele in these younger patients. DOCK2 expression was suppressed in patients with severe cases of COVID-19. Single-cell RNA-sequencing analysis (n = 61 individuals) identified cell-type-specific downregulation of DOCK2 and a COVID-19-specific decreasing effect of the risk allele on DOCK2 expression in non-classical monocytes. Immunohistochemistry of lung specimens from patients with severe COVID-19 pneumonia showed suppressed DOCK2 expression. Moreover, inhibition of DOCK2 function with CPYPP increased the severity of pneumonia in a Syrian hamster model of SARS-CoV-2 infection, characterized by weight loss, lung oedema, enhanced viral loads, impaired macrophage recruitment and dysregulated type I interferon responses. We conclude that DOCK2 has an important role in the host immune response to SARS-CoV-2 infection and the development of severe COVID-19, and could be further explored as a potential biomarker and/or therapeutic target

    Factors Influencing Aqueous Proinflammatory Cytokines and Growth Factors in Uveitic Glaucoma.

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    PURPOSE:To analyze the effects of factors on aqueous humor proinflammatory cytokine and growth factor levels in patients with uveitic glaucoma (UG). METHODS:In this cross-sectional study, we enrolled 143 participants: 1) UG patients (n = 39); 2) primary open-angle glaucoma (POAG) patients (n = 36); and 3) cataract surgery patients, as a comparative group (n = 68). Aqueous humor samples were obtained at the start of surgery. Aqueous cytokine levels were determined using a multiplex immunoassay (xMAP and the Human Cytokine/Chemokine Panel I). RESULTS:In UG cases, mean interleukin (IL)-6, IL-8, monocyte chemotactic protein (MCP)-1, tumor necrosis factor (TNF)-α, platelet-derived growth factor (PDGF)-AA, PDGF-AB/BB, and VEGF levels were 171.1, 214.5, 2791.7, 3.5, 23.9, 5.4, and 168.9 pg/mL, respectively, and were higher than those in cataract (non-glaucomatous) cases except PDGF. Levels of IL-6, MCP-1, and VEGF were higher in UG cases than in POAG cases. UG cases with a history of phacoemulsification displayed significantly higher levels of IL-6 (P = 0.0164), IL-8 (P = 0.0003), MCP-1 (P = 0.0465), and PDGF-AB/BB (P = 0.0062) compared to the phakic cases. The presence of cells in the anterior chamber was related to higher levels of IL-8 (P = 0.0002), TNF-α (P = 0.0037), and PDGF-AB/BB (P = 0.0009). The level of PDGF-AB/BB was higher in infectious uveitis than in non-infectious uveitis (P = 0.0211). The level of transforming growth factor (TGF)-β2 was negatively correlated with the levels of MCP-1 (adjusted R2 = 0.28, t = -2.45, P = 0.031) and TNF-α (adjusted R2 = 0.27, t = -2.43, P = 0.032). CONCLUSION:A history of phacoemulsification, the presence of cells in the anterior chamber, and infectious uveitis were related to aqueous proinflammatory cytokine levels in patients with UG. TGF-β2 might be an anti-inflammatory factor in aqueous humor of UG patients

    The Influence of Phacoemulsification on Surgical Outcomes of Trabeculectomy with Mitomycin-C for Uveitic Glaucoma.

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    To evaluate the influence of phacoemulsification after trabeculectomy on the postoperative intraocular pressure (IOP) in eyes with uveitic glaucoma (UG).Kumamoto University Hospital, Kumamoto, Japan.A retrospective cohort study.The medical records of patients with UG who had trabeculectomy with mitomycin-C (MMC) were reviewed. Complete and qualified surgical failures were defined by an IOP of ≥21 mmHg (condition A), ≥18 mmHg (condition B), or ≥15 mmHg (condition C) without and with glaucoma eye drops, respectively. Kaplan-Meier survival analysis, generalized by the Wilcoxon test, and the Cox proportional hazards model analysis were conducted. Post-trabeculectomy phacoemulsification was treated as a time-dependent variable. In 24 (30%) of the included 80 eyes, phacoemulsification was included, and they were divided into two groups: groups I (8 eyes with phacoemulsification within 1 year after trabeculectomy) and group II (16 eyes after 1 year following trabeculectomy).Multivariable Cox proportional hazards model analysis showed post-trabeculectomy phacoemulsification was a significant factor in both complete success and qualified success based upon condition C (P = 0.0432 and P = 0.0488, respectively), but not for the other conditions. Kaplan-Meier survival analyses indicated significant differences in success probabilities between groups I and group II for complete success and qualified success based upon condition C (P = 0.020 and P = 0.013, respectively). There was also a significant difference for qualified success based upon condition B (P = 0.034), while there was no significant difference for the other conditions.Post-trabeculectomy phacoemulsification, especially within 1 year, can cause poor prognosis of IOP control of UG eyes after trabeculectomy with MMC

    Correlation between the level of TGF-β2 and those of MCP-1 and TNF-α.

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    <p>Scatter plots of the levels of TGF-β2, MCP-1 (A) and TNF-α (B) in aqueous humor of UG (<i>n</i> = 14). The level of TGF-β2 negatively correlated with the levels of MCP-1 (adjusted R<sup>2</sup> = 0.28, t = -2.45, P = 0.031) and TNF-α (adjusted R<sup>2</sup> = 0.27, t = -2.43, P = 0.032).</p

    Comparison of levels (pg/mL) of analytes in the eyes of controls (cataractous, CAT) and in eyes with primary open-angle glaucoma (POAG), and uveitic glaucoma (UG).

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    <p>Data points (<i>n</i> = 68 for CAT, <i>n</i> = 36 for OAG, and <i>n</i> = 39 for UG) represent individual samples. Error bars indicate medians ± interquartile range. *P < 0.05. **P < 0.01. IL, interleukin, MCP, monocyte chemotactic protein, PDGF, platelet-derived growth factor, TNF, tumor necrosis factor, VEGF, vascular endothelial growth factor.</p

    Comparison of levels (pg/mL) of analytes in the eyes of UG cases between with (pseudophakic) and without (phakic) a history of phacoemulsification.

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    <p>Data points (<i>n</i> = 14 for with history of phacoemulsification, and 25 for without history of phacoemulsification) represent individual samples. Error bars indicate medians ± interquartile range. *P < 0.05, **P < 0.01. IL, interleukin, MCP, monocyte chemotactic protein, PDGF, platelet-derived growth factor.</p
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