complement activation
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eJHaem ◽  
2022 ◽  
Author(s):  
Rengina Kefalogianni ◽  
Farah Kamani ◽  
Mihaela Gaspar ◽  
TC Aw ◽  
Jackie Donovan ◽  
...  

2022 ◽  
Vol 8 ◽  
Author(s):  
Wenyu Xiang ◽  
Shuai Han ◽  
Cuili Wang ◽  
Hongjun Chen ◽  
Lingling Shen ◽  
...  

Acute rejection (AR) is closely associated with renal allograft dysfunction. Here, we utilised RNA sequencing (RNA-Seq) and bioinformatic methods to characterise the peripheral blood mononuclear cells (PBMCs) of patients with acute renal allograft rejection. Pretransplant blood samples were collected from 32 kidney allograft donors and 42 corresponding recipients with biopsies classified as T cell-mediated rejection (TCMR, n = 18), antibody-mediated rejection (ABMR, n = 5), and normal/non-specific changes (non-AR, n = 19). The patients with TCMR and ABMR were assigned to the AR group, and the patients with normal/non-specific changes (n = 19) were assigned to the non-AR group. We analysed RNA-Seq data for identifying differentially expressed genes (DEGs), and then gene ontology (GO) analysis, Reactome, and ingenuity pathway analysis (IPA), protein—protein interaction (PPI) network, and cell-type enrichment analysis were utilised for bioinformatics analysis. We identified DEGs in the PBMCs of the non-AR group when compared with the AR, ABMR, and TCMR groups. Pathway and GO analysis showed significant inflammatory responses, complement activation, interleukin-10 (IL-10) signalling pathways, classical antibody-mediated complement activation pathways, etc., which were significantly enriched in the DEGs. PPI analysis showed that IL-10, VEGFA, CXCL8, MMP9, and several histone-related genes were the hub genes with the highest degree scores. Moreover, IPA analysis showed that several proinflammatory pathways were upregulated, whereas antiinflammatory pathways were downregulated. The combination of NFSF14+TANK+ANKRD 33 B +HSPA1B was able to discriminate between AR and non-AR with an AUC of 92.3% (95% CI 82.8–100). Characterisation of PBMCs by RNA-Seq and bioinformatics analysis demonstrated gene signatures and biological pathways associated with AR. Our study may provide the foundation for the discovery of biomarkers and an in-depth understanding of acute renal allograft rejection.


2022 ◽  
Vol 45 (1) ◽  
pp. 129-135
Author(s):  
Mahmoud Mostafa ◽  
Nehal E. Elsadek ◽  
Sherif E. Emam ◽  
Hidenori Ando ◽  
Taro Shimizu ◽  
...  

2022 ◽  
Vol 141 ◽  
pp. 273-279
Author(s):  
Anub Mathew Thomas ◽  
Viktoriia Chaban ◽  
Søren E. Pischke ◽  
Hilde Lang Orrem ◽  
Vidar Bosnes ◽  
...  

2021 ◽  
pp. 2100460
Author(s):  
Tomáš Riedel ◽  
Andres de los Santos Pereira ◽  
Johanka Táborská ◽  
Zuzana Riedelová ◽  
Ognen Pop‐Georgievski ◽  
...  

Author(s):  
Gustaf Lissel Isaksson ◽  
Marie Bodilsen Nielsen ◽  
Gitte Rye Hinrichs ◽  
Nicoline Valentina Krogstrup ◽  
Rikke Zachar ◽  
...  

Proteinuria predicts accelerated decline in kidney function in kidney transplant recipients (KTRs). We hypothesized that aberrant filtration of complement factors causes intraluminal activation, apical membrane attack on tubular cells and progressive injury. Biobanked samples from two previous studies in albuminuric KTRs were used. Complement activation split products C3c, C3dg and sC5b-9 associated C9 neoantigen were analyzed by ELISA in urine and plasma using neoepitope-specific antibodies. Urinary extracellular vesicles (uEV) were enriched by lectin- and immunoaffinity-isolation and analyzed by immunoblotting. Urine complement excretion increased significantly in KTRs with albumin/creatinine ratio ≥ 300 mg/g compared to < 30 mg/g. Urine C3dg and C9 neoantigen excretion correlated significantly to changes in albumin excretion from 3 to 12 months after transplantation. The fractional excretion of C9 neoantigen was significantly higher than for albumin indicating post-filtration generation. C9 neoantigen was detected in uEVs in six of nine of albuminuric KTRs but was absent in non-albuminuric controls (n = 8). In C9 neoantigen positive KTRs, lectin-affinity enrichment of uEVs from the proximal tubules yielded signal for iC3b, C3dg, C9 neoantigen and SGLT2 but only weakly for AQP2. Co-isolation of podocyte markers and Tamm-Horsfall protein was minimal. Our findings show that albuminuria is associated with aberrant filtration and intratubular activation of complement with deposition of C3 activation split products and C5b-9 associated C9 neoantigen on uEVs from the proximal tubular apical membrane. Intratubular complement activation may contribute to progressive kidney injury in proteinuric kidney grafts.


2021 ◽  
Vol 50 (1) ◽  
pp. 671-671
Author(s):  
Zhiying You ◽  
Erin Stenson ◽  
Ron Reeder ◽  
Jesse Norris ◽  
Halden Scott ◽  
...  

Genes ◽  
2021 ◽  
Vol 12 (12) ◽  
pp. 1990
Author(s):  
Megan Torvell ◽  
Sarah M. Carpanini ◽  
Nikoleta Daskoulidou ◽  
Robert A. J. Byrne ◽  
Rebecca Sims ◽  
...  

The presence of complement activation products at sites of pathology in post-mortem Alzheimer’s disease (AD) brains is well known. Recent evidence from genome-wide association studies (GWAS), combined with the demonstration that complement activation is pivotal in synapse loss in AD, strongly implicates complement in disease aetiology. Genetic variations in complement genes are widespread. While most variants individually have only minor effects on complement homeostasis, the combined effects of variants in multiple complement genes, referred to as the “complotype”, can have major effects. In some diseases, the complotype highlights specific parts of the complement pathway involved in disease, thereby pointing towards a mechanism; however, this is not the case with AD. Here we review the complement GWAS hits; CR1 encoding complement receptor 1 (CR1), CLU encoding clusterin, and a suggestive association of C1S encoding the enzyme C1s, and discuss difficulties in attributing the AD association in these genes to complement function. A better understanding of complement genetics in AD might facilitate predictive genetic screening tests and enable the development of simple diagnostic tools and guide the future use of anti-complement drugs, of which several are currently in development for central nervous system disorders.


2021 ◽  
pp. 1-11
Author(s):  
Morten Hedetoft ◽  
Martin Bruun Madsen ◽  
Cecilie Bo Hansen ◽  
Ole Hyldegaard ◽  
Peter Garred

The hyperinflammatory burden is immense in necrotizing soft-tissue infection (NSTI). The complement system is a key during the innate immune response and may be a promising target to reduce the inflammatory response, potentially improving the clinical outcome. However, complement activation and its association to disease severity and survival remain unknown in NSTI. Therefore, we prospectively enrolled patients with NSTI and sampled blood at admission and once daily for the following 3 days. Plasma C4c, C4d, C3bc, and C3dg and the terminal complement complex (TCC) were evaluated using ELISA techniques. In total, 242 patients were included with a median age of 62 years, with a 60% male predominance. All-cause 30-day mortality was 17% (95% confidence interval [CI] 13–23) with a follow-up of &#x3e;98%. C4c and C3dg were negatively correlated with Simplified Acute Physiology Score II (<i>Rho</i> −0.22, <i>p</i> &#x3c; 0.001 and <i>Rho</i> −0.17, <i>p</i> = 0.01). Patients with septic shock (<i>n</i> = 114, 47%) had higher levels of baseline TCC than those in non-shock patients (18 vs. 14, <i>p</i> &#x3c; 0.001). TCC correlated with the Sequential Organ Failure Assessment (SOFA) score (<i>Rho</i> 0.19, <i>p</i> = 0.004). In multivariate Cox regression analysis (adjusted for age, sex, comorbidity, and SOFA score), high baseline C4d (&#x3e;20 ng/mL) and the combination of high C4d and TCC (&#x3e;31 arbitrary units/mL) were associated with increased 30-day mortality (hazard ratio [HR] 3.26, 95% CI 1.56–6.81 and HR 5.12, 95% CI 2.15–12.23, respectively). High levels of both C4d and TCC demonstrated a negative predictive value of 0.87. In conclusion, we found that in patients with NSTI, complement activation correlated with the severity of the disease. High baseline C4d and combination of high C4d and TCC are associated with increased 30-day mortality. Low baseline C4d or TCC indicates a higher probability of survival.


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