Comprehensive analysis of the expression and significance of CXCLs in human diffuse large B-cell lymphoma

Extracellular CIRP co-stimulated T cells through IL6R/STAT3 in pediatric IgA vasculitis

Immunoglobulin A vasculitis (IgAV) is the most common vasculitis of childhood. Disordered immune responses play important roles in its pathogenesis, but the comprehensive immune profile of the disease and the underlying mechanisms are still largely unknown. Here we found a potential disease biomarker cold inducible RNA binding protein (CIRP) in our pediatric IgAV cohort. Serum CIRP level in these patients were elevated and positively correlated with the increased early memory (CD45RA+CD62L+CD95+) T cells revealed using multicolor flow cytometry. Immune phenotyping of the patients showed they had more activated T cells with higher IL6Ra expression. T cell culture experiment showed CIRP further activated both human CD4+ and CD8+ T cells as indicated by increased perforin secretion and phosphorylation of STAT3. Blockade of IL6Rα attenuated CIRP-induced T cell toxicity in vitro. RNA-sequencing data further supported CIRP stimulation promoted human T cell activation and migration, fueled inflammation through the JAK-STAT signaling pathway. Therefore, IL6Ra-mediated T cell activation by extracellular CIRP may contribute to pathogenesis of IgAV in children, both CIRP and IL6Ra could be new therapeutic targets for IgAV.

Cell-Mediated Immune Response Against Mycobacterium tuberculosis and Its Potential Therapeutic Impact

Cell-mediated immune response is critical for Mycobacterium tuberculosis (M.tb) control. Understanding of pathophysiology and role played by different cell mediators is essential for vaccine development and better management of patients with M.tb. A complex array of cytokines and chemokines are involved in the immune response against M.tb; however, their relative contribution in protection remains to be further explored. The purpose of this review is to summarize the current understanding regarding the cytokine and chemokine profiles in M.tb infection in order to assist research in the field to pursue new direction in prevention and control. We have also summarized recent findings on vaccine trials that have been developed and or are under trials that are targeting these molecules.

Dissecting causal links between gut microbiota, inflammatory cytokines, and DLBCL: a Mendelian randomization study

ABSTRACT

Causal relationships between gut microbiota, inflammatory cytokines, and diffuse large B-cell lymphoma (DLBCL) remain elusive. In addressing this gap, our Mendelian randomization (MR) study used data from the MiBioGen consortium encompassing 211 microbiota taxa (n = 18 340), genome-wide association study meta-analyses of 47 inflammatory cytokines, and DLBCL cases and controls from the FinnGen consortium (cases, n = 1010; controls, n = 287 137). Through bidirectional MR analyses, we examined the causal links between gut microbiota and DLBCL and used mediation analyses, including 2-step MR and multivariable MR (MVMR), to identify potential mediating inflammatory cytokines. Our findings revealed that 4 microbiota taxa were causally associated with DLBCL, and conversely, DLBCL influenced the abundance of 20 taxa. Specifically, in the 2-step MR analysis, both the genus Ruminococcaceae UCG-002 (odds ratio [OR], 1.427; 95% confidence interval [CI], 1.011-2.015; P = .043) and the inflammatory cytokine monokine induced by gamma (MIG) (OR, 1.244; 95% CI, 1.034-1.487; P = .020) were found to be causally associated with an increased risk of DLBCL. Additionally, a positive association was observed between genus Ruminococcaceae UCG-002 and MIG (OR, 1.275; 95% CI, 1.069-1.520; P = .007). Furthermore, MVMR analysis indicated that the association between genus Ruminococcaceae UCG-002 and DLBCL was mediated by MIG, contributing to 14.9% of the effect (P = .005). In conclusion, our MR study provides evidence that supports the causal relationship between genus Ruminococcaceae UCG-002 and DLBCL, with a potential mediating role played by the inflammatory cytokine MIG.

Characterizing influence of rCHOP treatment on diffuse large B-cell lymphoma microenvironment through in vitro microfluidic spheroid model

For over two decades, Rituximab and CHOP combination treatment (rCHOP) has remained the standard treatment approach for diffuse large B-cell lymphoma (DLBCL). Despite numerous clinical trials exploring treatment alternatives, few options have shown any promise at further improving patient survival and recovery rates. A wave of new therapeutic approaches have recently been in development with the rise of immunotherapy for cancer, however, the cost of clinical trials is prohibitive of testing all promising approaches. Improved methods of early drug screening are essential for expediting the development of the therapeutic approaches most likely to help patients. Microfluidic devices provide a powerful tool for drug testing with enhanced biological relevance, along with multi-parameter data outputs. Here, we describe a hydrogel spheroid-based microfluidic model for screening lymphoma treatments. We utilized primary patient DLBCL cells in combination with NK cells and rCHOP treatment to determine the biological relevance of this approach. We observed cellular viability in response to treatment, rheological properties, and cell surface marker expression levels correlated well with expected in vivo characteristics. In addition, we explored secretory and transcriptomic changes in response to treatment. Our results showed complex changes in phenotype and transcriptomic response to treatment stimuli, including numerous metabolic and immunogenic changes. These findings support this model as an optimal platform for the comparative screening of novel treatments.

The Role of CXCL11 and its Receptors in Cancer: Prospective but Challenging Clinical Targets

Chemokine ligand 11 is a member of the CXC chemokine family and exerts its biological function mainly through binding to CXCR3 and CXCR7. The CXCL11 gene is ubiquitously overexpressed in various human malignant tumors; however, its specific mechanisms vary among different cancer types. Recent studies have found that CXCL11 is involved in the activation of multiple oncogenic signaling pathways and is closely related to tumorigenesis, progression, chemotherapy tolerance, immunotherapy efficacy, and poor prognosis. Depending on the specific expression of its receptor subtype, CXCL11 also has a complex 2-fold role in tumours; therefore, directly targeting the structure-function of CXCL11 and its receptors may be a challenging task. In this review, we summarize the biological functions of CXCL11 and its receptors and their roles in various types of malignant tumors and point out the directions for clinical applications.

Causal relationships between circulating inflammatory cytokines and diffuse large B cell lymphoma: a bidirectional Mendelian randomization study

Diffuse large B cell lymphoma (DLBCL) is the most common type of non-Hodgkin lymphoma. Studies indicated that inflammatory cytokines involved in the occurrence and progression of DLBCL and it is challenging to discern causality from the effects due to the presence of feedback loops. We conducted a bidirectional Mendelian randomization (MR) study to investigate the potential causal relationship between DLBCL and inflammatory cytokines. The genetic variants associated with inflammatory cytokines were obtained from a genome-wide association study (GWAS) involving 8293 European participants, and the data on 1010 individuals with DLBCL were sourced from the FinnGen consortium. The primary method employed in this study was the inverse-variance weighted (IVW) method, with supplementary analyses conducted using the MR-Egger, weighted median, and MR-PRESSO approaches. Based on the IVW method, genetically predicted that increasing level of Monokine induced by interferon gamma (MIG/CXC chemokine ligand 9, CXCL9) [OR: 1.31; 95% CI: 1.05-1.62; P = 0.01] and interferon gamma-induced protein 10(IP-10/CXC chemokine ligand 10, CXCL10) [OR: 1.30; 95% CI: 1.02-1.66; P = 0.03] showed suggestive associations with DLBCL risk. DLBCL may increase the level of macrophage colony-stimulating factor (M-CSF) [OR: 1.12; 95% CI: 1.01-1.2; P = 0.03], tumor necrosis factor beta (TNF-β) [OR: 1.16; 95% CI: 1.02-1.31; P = 0.02] and TNF-related apoptosis-inducing ligand (TRAIL) [OR: 1.07; 95% CI: 1.01-1.13; P = 0.02]. This study presents evidence supporting a causal relationship between inflammation cytokines and DLBCL. Specifically, MIG/CXCL9 and IP-10/CXCL10 were identified as indicators of upstream causes of DLBCL; while, DLBCL itself was found to elevate the levels of M-CSF, TNF-β, and TRAIL. These findings suggest that targeting specific inflammatory factors through regulation and intervention could serve as a potential approach for the treatment and prevention of DLBCL.

A novel NET-related gene signature for predicting DLBCL prognosis

BACKGROUND

Diffuse large B-cell lymphoma (DLBCL) is an aggressive malignancy. Neutrophil extracellular traps (NETs) are pathogen-trapping structures in the tumor microenvironment that affect DLBCL progression. However, the predictive function of NET-related genes (NRGs) in DLBCL has received little attention. This study aimed to investigate the interaction between NRGs and the prognosis of DLBCL as well as their possible association with the immunological microenvironment.

METHODS

The gene expression and clinical data of patients with DLBCL were downloaded from the Gene Expression Omnibus database. We identified 148 NRGs through the manual collection of literature. GSE10846 (n = 400, GPL570) was used as the training dataset and divided into training and testing sets in a 7:3 ratio. Univariate Cox regression analysis was used to identify overall survival (OS)-related NETs, and the least absolute shrinkage and selection operator was used to evaluate the predictive efficacy of the NRGs. Kaplan-Meier plots were used to visualize survival functions. Receiver operating characteristic (ROC) curves were used to assess the prognostic predictive ability of NRG-based features. A nomogram containing the clinical information and prognostic scores of the patients was constructed using multivariate logistic regression and Cox proportional risk regression models.

RESULTS

We identified 36 NRGs that significantly affected patient overall survival (OS). Eight NRGs (PARVB, LYZ, PPARGC1A, HIF1A, SPP1, CDH1, S100A9, and CXCL2) were found to have excellent predictive potential for patient survival. For the 1-, 3-, and 5-year survival rates, the obtained areas under the receiver operating characteristic curve values were 0.8, 0.82, and 0.79, respectively. In the training set, patients in the high NRG risk group presented a poorer prognosis (p < 0.0001), which was validated using two external datasets (GSE11318 and GSE34171). The calibration curves of the nomogram showed that it had excellent predictive ability. Moreover, in vitro quantitative real-time PCR (qPCR) results showed that the mRNA expression levels of CXCL2, LYZ, and PARVB were significantly higher in the DLBCL group.

CONCLUSIONS

We developed a genetic risk model based on NRGs to predict the prognosis of patients with DLBCL, which may assist in the selection of treatment drugs for these patients.