C-C Motif Chemokine Ligand-17 as a Novel Biomarker and Regulator of Epithelial Mesenchymal Transition in Renal Fibrogenesis

Clinical Course and Factors Correlated with Severe Morbidity and Mortality in Patients with Coronavirus Disease 2019 Undergoing Maintenance Dialysis in Kanagawa, Japan

Objective Patients undergoing maintenance dialysis are at a higher risk of morbidity and mortality due to severe coronavirus disease 2019 (COVID-19) than the general population. However, longitudinal data regarding this subpopulation of patients are lacking. We therefore examined the prognosis of patients with COVID-19 undergoing maintenance dialysis between 2020 and 2023. In addition, we explored the factors correlated with COVID-19 severity, focusing on the transition thereof throughout the observational period. Methods The primary outcome was the progression to severe or fatal COVID-19. We evaluated the correlation between the primary outcome and baseline demographic and clinical characteristics of patients. Patients undergoing maintenance dialysis who were hospitalized for mild-to-moderate COVID-19 between February 2020 and April 2023 were enrolled at four institutions in Kanagawa, Japan. Results Of the 173 patients, 7 (4.0%) developed severe COVID-19, and 12 (6.9%) died. The severe/death cohort was significantly older, with a higher percentage of unvaccinated patients than the non-severe cohort (58.2% and 25.0%, respectively; p=0.016). Thymus and activation-regulated chemokine levels on admission were lower in the severe/death cohort than in the non-severe cohort, albeit not to a statistically significant degree (148±84 mg/dL and 342±657 pg/mL, respectively; p=0.082). A multivariate logistic regression analysis revealed that the odds ratio for severe morbidity or death was 0.23 (95% confidence interval: 0.07-0.75) for vaccinated patients. Conclusion In patients undergoing maintenance dialysis, the severity rate of COVID-19 is approximately 10%. Vaccination was correlated with a reduced risk of severe COVID-19.

Serum chemokine CC-motif ligand 17 is a predictive marker of severe COVID-19 in haemodialysis patients: A retrospective observational study

BACKGROUND

Maintenance haemodialysis (HD) patients are at higher risk for severe coronavirus disease 2019 (COVID-19). Because of a limited number of facilities that can provide inpatient treatment for COVID-19 and HD, it is important to identify HD patients who are at high risk for severe COVID-19. For mild to moderate COVID-19 patients, chemokine CC-motif ligand 17 (CCL17) was reported to be a predictive marker for severe COVID-19; however, the validity of CCL17 among HD patients is unknown.

METHODS

This retrospective observational study enrolled 107 HD patients with mild or moderate COVID-19 at hospitalization (mean age 70.1 ± 15.1 years; 71.0% male). Receiver operating characteristic and logistic regression analyses were used to examine the predictive validity of indices for severe COVID-19.

RESULTS

During hospitalization, 32 patients developed severe COVID-19. Serum CCL17 collected at admission exhibited a higher area under the curve value (0.818) compared with that of other indicators including lactate dehydrogenase and C-reactive protein for the prediction of severe COVID-19. The optimal cut-off value for CCL17 was 150.5 pg/mL. A multi-variate logistic analysis revealed that CCL17 (above 150.5 pg/mL) was significantly associated with severe COVID-19 (Odds ratio, 0.063; 95% Confidence interval [CI], 0.017-0.227; p < .001) even after adjustment for covariates. The addition of the CCL17 to a model consisting of vaccination status, albumin, blood urea nitrogen, C-reacting protein and lactate dehydrogenase significantly improved classification performance for severe COVID-19 using the net reclassification (1.16, 95% CI: 0.82-1.50, p < .001) and integrated discrimination (0.18, 95% CI: 0.09-0.26, p < .001) improvement.

CONCLUSION

CCL17 levels in HD patients with mild or moderate COVID-19 predict risk of developing severe COVID-19.

CCL17 drives fibroblast activation in the progression of pulmonary fibrosis by enhancing the TGF-β/Smad signaling

Pulmonary fibrosis (PF) is a type of fatal respiratory diseases with limited therapeutic options and poor prognosis. The chemokine CCL17 plays crucial roles in the pathogenesis of immune diseases. Bronchoalveolar lavage fluid (BALF) CCL17 levels are significantly higher in patients with idiopathic PF (IPF) than in healthy volunteers. However, the source and function of CCL17 in PF remain unclear. Here, we demonstrated that the levels of CCL17 were increased in the lungs of IPF patients and mice with bleomycin (BLM)-induced PF. In particular, CCL17 were upregulated in alveolar macrophages (AMs) and antibody blockade of CCL17 protected mice against BLM-induced fibrosis and significantly reduced fibroblast activation. Mechanistic studies revealed that CCL17 interacted with its receptor CCR4 on fibroblasts, thereby activating the TGF-β/Smad signaling pathway to promote fibroblast activation and tissue fibrosis. Moreover, the knockdown of CCR4 by CCR4-siRNA or blockade by CCR4 antagonist C-021 was able to ameliorate PF pathology in mice. In summary, the CCL17-CCR4 axis is involved in the progression of PF, and targeting of CCL17 or CCR4 inhibits fibroblast activation and tissue fibrosis and may benefit patients with fibroproliferative lung diseases.

CC chemokines family in fibrosis and aging: From mechanisms to therapy

Fibrosis is a universal aging-related pathological process in the different organ, but is actually a self-repair excessive response. To date, it still remains a large unmet therapeutic need to restore injured tissue architecture without detrimental side effects, due to the limited clinical success in the treatment of fibrotic disease. Although specific organ fibrosis and the associated triggers have distinct pathophysiological and clinical manifestations, they often share involved cascades and common traits, including inflammatory stimuli, endothelial cell injury, and macrophage recruitment. These pathological processes can be widely controlled by a kind of cytokines, namely chemokines. Chemokines act as a potent chemoattractant to regulate cell trafficking, angiogenesis, and extracellular matrix (ECM). Based on the position and number of N-terminal cysteine residues, chemokines are divided into four groups: the CXC group, the CX3C group, the (X)C group, and the CC group. The CC chemokine classes (28 members) is the most numerous and diverse subfamily of the four chemokine groups. In this Review, we summarized the latest advances in the understanding of the importance of CC chemokine in the pathogenesis of fibrosis and aging and discussed potential clinical therapeutic strategies and perspectives aimed at resolving excessive scarring formation.

The predictive markers of severity and mortality in hospitalized hemodialysis patients with COVID-19 during Omicron epidemic

INTRODUCTION

Predictive markers and prognosis remain unclear in hospitalized hemodialysis (HD) patients with coronavirus disease 2019 (COVID-19) during the Omicron epidemic.

METHODS

We evaluated characteristics, laboratory parameters, and outcomes in hospitalized HD patients with COVID-19 (n = 102) at two centers between January and April 2022.

RESULTS

The 30-day mortality rate was higher in moderate-critical group (n = 43) than mild group (n = 59) (16.3% vs. 1.7%; p = 0.007), and higher in patients with lower CC chemokine ligand 17 (CCL17) levels (<95.0 pg/mL) compared with normal CCL17 levels (19.0% versus 4.9%; p = 0.03). In multivariate analyses, a low CCL17 level (p = 0.003) was associated with moderate-critical conditions, and moderate-critical conditions (p = 0.04) were associated with 30-day mortality, whereas CCL17 was not associated with 30-day mortality.

CONCLUSIONS

COVID-19 remains a fatal complication, and CCL17 was a predictive marker of severity in hospitalized HD patients during the Omicron epidemic.

Identification of Hub Genes Correlated with the Initiation and Development in Chronic Kidney Disease via Bioinformatics Analysis

INTRODUCTION

Chronic kidney disease (CKD) is a major public health issue worldwide, which is characterized by irreversible loss of nephron and renal function. However, the molecular mechanism of CKD remains underexplored.

METHODS

This study integrated three transcriptional profile datasets to investigate the molecular mechanism of CKD. The differentially expressed genes (DEGs) between Sham control (Con) and unilateral ureteral obstruction (UUO)-operated mice were analyzed by utilizing the limma package in R. The shared DEGs were analyzed by Gene Ontology and functional enrichment. Protein-protein interactions (PPIs) were constructed by utilizing the STRING database. Hub genes were analyzed by MCODE and Cytohubba. We further validated the gene expression by using the other dataset and mouse UUO model.

RESULTS

A total of 315 shared DEGs between Con and UUO samples were identified. Gene function and KEGG pathway enrichment revealed that DEGs were mainly enriched in inflammatory response, immune system process, and chemokine signaling pathway. Two modules were clustered based on PPI network analysis. Module 1 contained 13 genes related to macrophage activation, migration, and chemotaxis. Ten hub genes were identified by PPI network analysis. Subsequently, the expression levels of hub genes were validated with the other dataset. Finally, these four validated hub genes were further confirmed by our UUO mice. Three validated hub genes, Gng2, Pf4, and Ccl9, showed significant response to UUO.

CONCLUSION

Our study reveals the coordination of genes during UUO and provides a promising gene panel for CKD treatment. GNG2 and PF4 were identified as potential targets for developing CKD drugs.

CCL17 acts as a novel therapeutic target in pathological cardiac hypertrophy and heart failure

Circulating proteomic signatures of age are closely associated with aging and age-related diseases; however, the utility of changes in secreted proteins in identifying therapeutic targets for diseases remains unclear. Serum proteomic profiling of an age-stratified healthy population and further community-based cohort together with heart failure patients study demonstrated that circulating C-C motif chemokine ligand 17 (CCL17) level increased with age and correlated with cardiac dysfunction. Subsequent animal experiments further revealed that Ccll7-KO significantly repressed aging and angiotensin II (Ang II)–induced cardiac hypertrophy and fibrosis, accompanied by the plasticity and differentiation of T cell subsets. Furthermore, the therapeutic administration of an anti-CCL17 neutralizing antibody inhibited Ang II–induced pathological cardiac remodeling. Our findings reveal that chemokine CCL17 is identifiable as a novel therapeutic target in age-related and Ang II–induced pathological cardiac hypertrophy and heart failure.