Distinct developmental reprogramming footprint of macrophages during acute kidney injury across species

Acute kidney injury (AKI) is a common finding in hospitalized patients, particularly those who are critically ill. The development of AKI is associated with several adverse outcomes including mortality, morbidity, progression to chronic kidney disease, and an increase in healthcare expenditure. Despite the well-established negative impact of AKI and rigorous efforts to better define, identify, and implement targeted therapies, the overall approach to the treatment of AKI continues to principally encompass supportive measures. This enduring challenge is primarily due to the heterogeneous nature of insults that activate many independent and overlapping molecular pathways. Consequently, it is evident that the identification of common mechanisms that mediate the pathogenesis of AKI, independent of etiology and engaged pathophysiological pathways, is of paramount importance and could lead to the identification of novel therapeutic targets. To better distinguish the commonly modulated mechanisms of AKI, we explored the transcriptional characteristics of human kidney biopsies from patients with acute tubular necrosis (ATN), and acute interstitial nephritis (AIN) using a NanoString inflammation panel. Subsequently, we used publicly available single-cell transcriptional resources to better interpret the generated transcriptional findings. Our findings identify robust acute kidney injury (AKI-induced) developmental reprogramming of macrophages (MΦ) with the expansion of C1Q+, CD163+ MΦ that is independent of the etiology of AKI and conserved across mouse and human species. These results would expand the current understanding of the pathophysiology of AKI and potentially offer novel targets for additional studies to enhance the translational transition of AKI research.NEW & NOTEWORTHY Our findings identify robust acute kidney injury (AKI)-induced developmental reprogramming of macrophages (MΦ) with the expansion of C1Q+, CD163+ MΦ that is independent of the etiology of AKI and conserved across mouse and human species.

[Relationship of C1QA level and therapeutic effect and prognosis of DLBCL patients treated with R-CHOP]

Objective: To investigate the relationship between plasma levels of complements before treatment and the clinicopathological feathers and prognoses of diffuse large B-cell lymphoma (DLBCL) patients treated with Rituximab (R)-CHOP or R-CHOP-like therapy. Methods: The clinicopathological data of 105 DLBCL patients treated in cancer Hospital of Chinese Academy of Medical Sciences from 2010 to 2016 were collected. The plasma samples from 105 DLBCL patients treated with R-CHOP or R-CHOP-like therapy and 80 healthy controls were used to detect 34 complement levels before treatment by utilizing antibody microarray. The relationship between plasma levels of complements and the clinicopathological feathers and prognosis of DLBCL patients were analyzed. Results: The signal values of C1QA and CR1L in patients with international prognostic index (IPI) scores of 3-5 were 1 261.43±138.9 and 2 214.69±98.58, respectively, higher than 950.79±80.19 and 984.67±121.79 in patients with IPI scores of 0~2 (both P<0.05). The levels of C1QA and CR1L in the non-complete response (CR) group were 1 165.43±98.56 and 2 263.13±145.63, respectively, higher than 914.70±100.77 and 1 821.34±84.68 in the CR group (both P<0.05). Cox regression analysis showed that elevated C1QA signal value was associated with poor progression-free survival (PFS) and poor overall survival (OS) (PFS: HR=2.063, 95%CI: 1.220-3.489, P=0.007; OS: HR=2.23, 95%CI: 1.036~4.798, P=0.040). After IPI correction by Cox multivariate model, the elevated C1QA signal value was still correlated with poor PFS (HR=1.765, 95%CI 1.034~3.013, P=0.037). Conclusions: The baseline plasma levels of C1QA and CR1L are correlated with IPI scores and therapeutic effects of DLBCL patients treated with R-CHOP. The baseline plasma level of C1QA has a certain predictive value for the prognostic evaluation of DLBCL.

Prognostic Implications of the Complement Protein C1Q and Its Correlation with Immune Infiltrates in Osteosarcoma

BACKGROUND

Osteosarcoma (OS) is the most widespread bone tumour among childhood cancers, and distant metastasis is the dominant factor in poor prognosis for patients with OS. Therefore, it is necessary to identify new prognostic biomarkers for identifying patients with aggressive disease.

METHODS

Two OS datasets (GSE21257 and GSE33383) were downloaded from the Gene Expression Omnibus (GEO) and subsequently subjected to weighted gene co-expression network analysis (WGCNA) and differential gene expression analysis (DGE) to screen candidate genes. A prognostic model was constructed using OS data derived from the Therapeutically Applicable Research to Generate Effective Treatments (TARGET) program to further screen key genes and perform gene ontology (GO) analysis. The prognostic values of key genes were assessed using the Kaplan-Meier (KM) plotter. The GEO dataset was used for immune infiltration analysis and association analysis of key genes. In addition, quantitative real-time polymerase chain reaction (qRT-PCR) was employed to validate the expression levels of potentially crucial genes in OS cell lines.

RESULTS

In the present study, we found 114 genes with a highly significant correlation in the module and 44 downregulated genes; 25 candidate genes overlapped in the two parts of the genes. Among these, three key genes, C1QA, C1QB, and C1QC, were the most significant hub genes, which had the highest node degrees, were clustered into one group, and implicated in most significant biological processes (regulation of immune effector process). Moreover, these three key genes were negatively associated with the prognosis of OS and positively associated with three immune cells (follicular helper T cells, memory B cells, and CD8 T cells). Additionally, compared to non-metastatic OS cell lines, the expression of three key genes was significantly downregulated in metastatic OS cell lines.

CONCLUSION

Our results revealed that three key genes (C1QA, C1QB, and C1QC) were implicated in tumour immune infiltration and may be promising biomarkers for predicting metastasis and prognosis of patients with OS.