Increased Th17 and Th22 Cell Percentages Predict Acute Lung Injury in Patients with Sepsis

Selenium nanoparticles activate selenoproteins to mitigate septic lung injury through miR-20b-mediated RORγt/STAT3/Th17 axis inhibition and enhanced mitochondrial transfer in BMSCs

Sepsis-induced acute lung injury (ALI) remains a critical clinical challenge with complex inflammatory pathogenesis. While bone marrow mesenchymal stem cells (BMSCs) demonstrate therapeutic potential through anti-inflammatory and cytoprotective effects, their age-related functional decline limits clinical utility. This study developed chitosan-functionalized selenium nanoparticles (SeNPs@CS, 100 nm) to rejuvenate BMSCs through miR-20b-mediated selenoprotein biosynthesis. Mechanistic investigations revealed that SeNPs@CS-treated BMSCs exhibited enhanced mitochondrial transfer capacity, delivering functional mitochondria to damaged alveolar epithelial cells (AECII) for cellular repair. Concurrently, miR-20b upregulation suppressed the RORγt/STAT3/Th17 axis, reducing pro-inflammatory Th17 cell differentiation in CD4+ T lymphocytes. The dual-target mechanism integrates immunomodulation via Th17 pathway inhibition with mitochondrial rejuvenation therapy, representing a paradigm-shifting approach for ALI management. These engineered BMSCs mitigated inflammatory markers in murine models, demonstrating superior efficacy to conventional BMSC therapies. Our findings establish SeNPs@CS-modified BMSCs as a novel therapeutic platform combining nanotechnology-enhanced stem cell engineering with precision immunometabolic regulation, providing new avenues for the treatment of sepsis-induced ALI.

Dipsacoside B ameliorates cognitive impairment in sepsis-associated encephalopathy by reducing Th17 cell infiltration and neuroinflammation

Sepsis-associated encephalopathy (SAE) is the main cause of cognitive impairment in patients with sepsis. The infiltration of inflammatory signals into the central nervous system (CNS) via the compromised blood-brain barrier (BBB) represents a crucial step in the pathological progression of SAE. In particular, T-helper 17 cell (Th17 cells) has been suggested to be highly correlated with the activation of central immune responses. Thus, preventing Th17 cell infiltration into the CNS may be a possible strategy to alleviate cognitive decline in SAE. Dipsacoside B (DB) is one of the primary active components in Chuan Xu Duan (Dipsacus asper Wall). We speculate that DB may be a potential candidate for the treatment of SAE-related cognitive deficits. In the present study, we demonstrated that DB could effectively alleviate cognitive impairment in SAE mice. DB significantly suppressed the central inflammatory response induced by repeated lipopolysaccharide (LPS) injection. The mechanism underlying its therapeutic effect should be attributed to the reduction of BBB impairment and pathogenic Th17 cell infiltration into the CNS by inhibition of vascular endothelial growth factor A (VEGFA)/ Vascular endothelial growth factor receptor 2(VEGFR2)/ Endothelial nitric oxide synthase (eNOS) signaling. Our findings suggest that DB is a potential candidate for the treatment of SAE-related cognitive dysfunction.

Strictosamide alleviates acute lung injury via regulating T helper 17 cells, regulatory T cells, and gut microbiota

BACKGROUND

Nauclea officinalis (Pierre ex Pit.) Merr. & Chun (Rubiaceae) is widely used to treat respiratory diseases in China. Strictosamide is its main active component and has significant anti-inflammatory activity. However, the effects and molecular mechanisms of strictosamide in the treatment of acute lung injury (ALI) remain largely unknown.

PURPOSE

This study aimed to examine the regulatory effects of strictosamide on T helper 17 cells (Th17 cells)/Regulatory T cells (Treg cells) and gut microbiota in ALI-affected mice.

MATERIALS AND METHODS

The ALI model was induced using lipopolysaccharide (LPS) intraperitoneal injection. Hematoxylin-eosin (H&E) staining, the number of inflammatory cells in broncho-alveolar lavage fluid (BALF), the Wet/Dry (W/D) ratio, and myeloperoxidase (MPO) activity were utilized as evaluation indices for the therapeutic efficacy of strictosamide on ALI. Flow cytometry (FCM), enzyme-linked immune sorbent assay (ELISA), quantitative reverse transcription polymerase chain reaction (qRT-PCR), and western blotting were used to determine the regulation of strictosamide on the Th17/Treg cells and the STAT3/STAT5 signaling pathway. The analysis of gut microbiota was conducted using 16S rDNA sequencing. The verification of the relationship between the gut microbiome and immune function was conducted using Spearman analysis.

RESULTS

Strictosamide attenuated inflammation on ALI induced by LPS, which reduced the levels of Th17-related factors interleukin (IL)-6 and IL-17 and increased Treg-related factors IL-10 and transforming growth factor (TGF)-β. In the spleens and whole blood, strictosamide reduced the proportion of Th17 cells and increased the proportion of Treg cells. Furthermore, strictosamide increased Forkhead/winged helix transcription factor 3 (Foxp3) and p-STAT5 protein expression while inhibiting Retinoid-related orphan nuclear receptors-γt (RORγt) and p-STAT3 expression. Moreover, strictosamide reshaped the diversity and structure of the gut microbiota, and influence the associations between immune parameters and gut microbiota in ALI mice.

CONCLUSIONS

In summary, the results of the current investigation showed that strictosamide has a therapeutic impact on LPS-induced ALI. The mechanism of action of this effect may be associated with the modulation of Th17 and Treg cells differentiation via the SATA signaling pathway, as well as the impact of the gut microbiota.

Effect of ethanol exposure on innate immune response in sepsis

Alcohol use disorder, reported by 1 in 8 critically ill patients, is a risk factor for death in sepsis patients. Sepsis, the leading cause of death, kills over 270,000 patients in the United States alone and remains without targeted therapy. Immune response in sepsis transitions from an early hyperinflammation to persistent inflammation and immunosuppression and multiple organ dysfunction during late sepsis. Innate immunity is the first line of defense against pathogen invasion. Ethanol exposure is known to impair innate and adaptive immune response and bacterial clearance in sepsis patients. Specifically, ethanol exposure is known to modulate every aspect of innate immune response with and without sepsis. Multiple molecular mechanisms are implicated in causing dysregulated immune response in ethanol exposure with sepsis, but targeted treatments have remained elusive. In this article, we outline the effects of ethanol exposure on various innate immune cell types in general and during sepsis.

Th17/Treg balance: the bloom and wane in the pathophysiology of sepsis

Sepsis is a multi-organ dysfunction characterized by an unregulated host response to infection. It is associated with high morbidity, rapid disease progression, and high mortality. Current therapies mainly focus on symptomatic treatment, such as blood volume supplementation and antibiotic use, but their effectiveness is limited. Th17/Treg balance, based on its inflammatory property, plays a crucial role in determining the direction of the inflammatory response and the regression of organ damage in sepsis patients. This review provides a summary of the changes in T-helper (Th) 17 cell and regulatory T (Treg) cell differentiation and function during sepsis, the heterogeneity of Th17/Treg balance in the inflammatory response, and the relationship between Th17/Treg balance and organ damage. Th17/Treg balance exerts significant control over the bloom and wanes in host inflammatory response throughout sepsis.

Predicting sepsis using a combination of clinical information and molecular immune markers sampled in the ambulance

Sepsis is a time dependent condition. Screening tools based on clinical parameters have been shown to increase the identification of sepsis. The aim of current study was to evaluate the additional predictive value of immunological molecular markers to our previously developed prehospital screening tools. This is a prospective cohort study of 551 adult patients with suspected infection in the ambulance setting of Stockholm, Sweden between 2017 and 2018. Initially, 74 molecules and 15 genes related to inflammation were evaluated in a screening cohort of 46 patients with outcome sepsis and 50 patients with outcome infection no sepsis. Next, 12 selected molecules, as potentially synergistic predictors, were evaluated in combination with our previously developed screening tools based on clinical parameters in a prediction cohort (n = 455). Seven different algorithms with nested cross-validation were used in the machine learning of the prediction models. Model performances were compared using posterior distributions of average area under the receiver operating characteristic (ROC) curve (AUC) and difference in AUCs. Model variable importance was assessed by permutation of variable values, scoring loss of classification as metric and with model-specific weights when applicable. When comparing the screening tools with and without added molecular variables, and their interactions, the molecules per se did not increase the predictive values. Prediction models based on the molecular variables alone showed a performance in terms of AUCs between 0.65 and 0.70. Among the molecular variables, IL-1Ra, IL-17A, CCL19, CX3CL1 and TNF were significantly higher in septic patients compared to the infection non-sepsis group. Combing immunological molecular markers with clinical parameters did not increase the predictive values of the screening tools, most likely due to the high multicollinearity of temperature and some of the markers. A group of sepsis patients was consistently miss-classified in our prediction models, due to milder symptoms as well as lower expression levels of the investigated immune mediators. This indicates a need of stratifying septic patients with a priori knowledge of certain clinical and molecular parameters in order to improve prediction for early sepsis diagnosis.Trial registration: NCT03249597. Registered 15 August 2017.

Fasudil and SR1001 synergistically protect against sepsis-associated pancreatic injury by inhibiting RhoA/ROCK pathway and Th17/IL-17 response

Sepsis is defined as a dysregulated host response to infection that can result in organ dysfunction and high mortality, which needs more effective treatment urgently. Pancreas is one of the most vulnerable organs in sepsis, resulting in sepsis-associated pancreatic injury, which is a fatal complication of sepsis. The aim of this study was to investigate the effect of combination of fasudil and SR1001 on sepsis-associated pancreatic injury and to explore the underlying mechanisms. The model of sepsis-associated pancreatic injury was induced by cecal ligation and puncture. Pancreatic injury was evaluated by HE staining, histopathological scores and amylase activity. The frequency of Th17 cells was analyzed by flow cytometry. Serum IL-17 level was determined by ELISA. Protein levels of RORγt, p-STAT3, GEF-H1, RhoA and ROCK1 were determined by Western blot. The apoptosis of pancreatic cells was examined by TUNEL analysis and Hoechst33342/PI staining. Compared to the sham group, the model group showed significant pathological injury including edema, hyperemia, vacuolization and necrosis. After treatment with fasudil, model mice showed an obvious reduction of Th17 cells and IL-17. SR1001 significantly reduced the expressions of GEF-H1, RhoA and ROCK1 in the model mice. The combination treatment with fasudil and SR1001 significantly inhibited the differentiation of Th17 cells, expressions of IL-17, GEF-H1, RhoA and ROCK1, which were more effective than each mono-treatment. In addition, our data revealed a remarkable decrease of apoptosis in pancreatic acinar cells culturing with fasudil or SR1001, which was further inhibited by their combination culture. Lipopolysaccharide remarkably upregulated the differentiation of Th17 cells in vitro, which could be significantly downregulated by fasudil or SR1001, and further downregulated by their combination treatment. Taken together, the combination of fasudil with SR1001 has a synergistic effect on protecting against sepsis-associated pancreatic injury in C57BL/6 mice.

The correlation of Th22 and regulatory T cells with Helicobacter pylori infection in patients with chronic gastritis

OBJECTIVE

Helicobacter pylori is planted in the human stomach and is the most common cause of chronic gastritis, which produced specific local and systemic humoral immunity, while the associations of these immune responses and H. pylori in the development of chronic gastritis remain unclear.

METHODS

This study analyzed histology, the number of Th22 and regulatory T (Treg) cells, and the levels of inflammation- and gastritis-related indicators between 22 H. pylori-infected and 24 non-H. pylori-infected chronic gastritis patients by hematoxylin-eosin staining, enzyme-linked immunosorbent assay, quantitative reverse transcription PCR, and flow cytometry analysis.

RESULTS

This study found that the pathological damage degree of gastric mucosa in H. pylori infection patients was more serious. In the H. pylori-infected patient serum, the gastrin, G-17, interleukins (IL)-22, transforming growth factor (TGF)-β, tumor necrosis factor (TNF)-α, IL-4, and IL-17A levels were notably raised, while the interferon (IFN)-γ level was inhibited, and in gastric mucosa, and except IFN-γ, the IL-22, forkhead box P3 (Foxp3), TNF-α, IL-4, and IL-17A mRNA levels were raised too. The receiver operating characteristic curve analysis indicates serum IL-22, TGF-β, TNF-α, IL-4, and IL-17A are suitable for differential diagnosis of H. pylori infection. In addition, in the peripheral blood, the percentages of the IL-22+ CD4+ and Foxp3+ CD4+ T cells were raised with H. pylori infection. The positive correlation between IL-22 and Foxp3 mRNA levels and the degree of H. pylori colonization and gastric mucositis by Pearson's correlation analysis.

CONCLUSIONS

Treg and Th22 cells were positively associated with the degree of H. pylori infection and the severity of gastritis. In summary, this study provides an experimental basis for the study of the eradication of H. pylori and the biological mechanism of chronic gastritis.

MicroRNA-451a and Th1/Th2 ratio inform inflammation, septic organ injury, and mortality risk in sepsis patients

Aims

MicroRNA-451a (miR-451a) regulates Th1/Th2 cell differentiation, inflammation, and septic organ injury in several experiments. Therefore, the present study aimed to explore the inter-correlation of miR-451a with the Th1/Th2 ratio, and their association with inflammation, septic organ injury, and mortality risk in patients with sepsis.

Methods

Consecutively, 117 patients with sepsis and 50 healthy controls (HCs) were enrolled. Peripheral blood mononuclear cell samples were collected to detect miR-451a expression and the Th1/Th2 ratio in all subjects.

Results

MiR-451a (p < 0.001), Th1 cells (p = 0.014), and the Th1/Th2 ratio (p < 0.001) increased, while Th2 cells (p < 0.001) declined in patients with sepsis compared with HCs. It was of note that miR-451a was positively correlated with Th1 cells (p = 0.002) and the Th1/Th2 ratio (p = 0.001), while it was negatively related to Th2 cells (p = 0.005) in patients with sepsis. Meanwhile, miR-451a and the Th1/Th2 ratio correlated with most of the following indexes: TNF-α, IL-1β, IL-6, C-reactive protein, sequential organ failure assessment (SOFA) score, or Acute Physiology and Chronic Health Evaluation II (APACHE II) score (most p < 0.05). Moreover, miR-451a (p < 0.001) and the Th1/Th2 ratio (p = 0.001) increased in deaths compared to survivors of sepsis; further ROC curve showed both miR-451a and the Th1/Th2 ratio possessed a certain value to predict mortality of patients with sepsis. Additionally, the Th1/Th2 ratio [odds ratio (OR): 2.052, p = 0.005] was independently related to 28-day mortality risk from multivariate logistic regression.

Conclusion

MiR-451a correlates with the Th1/Th2 ratio, and they both relate to inflammation, septic organ injury, and mortality risk in patients with sepsis.

Aberrant blood MALT1 and its relevance with multiple organic dysfunctions, T helper cells, inflammation, and mortality risk of sepsis patients

Background

MALT1 is linked with multiple organic dysfunctions, inflammatory storm, and T helper (Th) cell differentiation. Herein, the current study aimed to investigate the correlation of peripheral blood mononuclear cell (PBMC) MALT1 with Th1 cells, Th17 cells, and prognosis of sepsis patients.

Methods

In general, 78 sepsis patients and 40 health controls (HCs) were enrolled. MALT1 expression was detected in PBMCs from all subjects by RT‐qPCR. Besides, Th1 and Th17 cells were measured in PBMCs from sepsis patients by flow cytometry; interleukin 17A (IL‐17A) and interferon gamma (IFN‐γ) were determined in serum from sepsis patients by ELISA.

Results

MALT1 expression was higher in sepsis patients than HCs (p < 0.001). MALT1 expression was positively correlated with Th17 cells (r_s = 0.291, p = 0.038) and IL‐17A (r_s = 0.383, p = 0.001), but not with Th1 cells (r_s = 0.204, p = 0.151) or IFN‐γ (r_s = 0.175, p = 0.125) in sepsis patients. MALT1 expression was positively correlated with APACHE II score (r_s = 0.275, p = 0.015), C‐reactive protein (CRP) (r_s = 0.257, p = 0.023), and sequential organ failure assessment (SOFA) score (r_s = 0.306, p = 0.006) (MALT1 expression was positively correlated with SOFA respiratory system score (r_s = 0.348, p = 0.002), and SOFA liver score (r_s = 0.260, p = 0.021), but not with SOFA scores in nervous system, cardio vascular system, coagulation, and renal system (all p > 0.05)). MALT1 expression (p = 0.010), Th1 cells (p = 0.010), Th17 cells (p = 0.038), and IL‐17A (p = 0.012), except for IFN‐γ (p = 0.102), elevated in sepsis deaths compared with sepsis survivors.

Conclusion

PBMC MALT1 is highly expressed in sepsis patients with its overexpression associated with multiple organic dysfunctions, elevated Th17 cells, and increased mortality risk.

A cellular census of human peripheral immune cells identifies novel cell states in lung diseases

Increasing evidence supports a central role of the immune system in lung diseases. Understanding how immunological alterations between lung diseases provide opportunities for immunotherapy. Exhausted T cells play a key role of immune suppression in lung cancer and chronic obstructive pulmonary disease was proved in our previous study. The present study aims to furthermore define molecular landscapes and heterogeneity of systemic immune cell target proteomic and transcriptomic profiles and interactions between circulating immune cells and lung residential cells in various lung diseases. We firstly measured target proteomic profiles of circulating immune cells from healthy volunteers and patients with stable pneumonia, stable asthma, acute asthma, acute exacerbation of chronic obstructive pulmonary disease, chronic obstructive pulmonary disease and lung cancer, using single-cell analysis by cytometry by time-of-flight with 42 antibodies. The nine immune cells landscape was mapped among those respiratory system diseases, including CD4+ T cells, CD8+ T cells, dendritic cells, B cells, eosinophil, γδT cells, monocytes, neutrophil and natural killer cells. The double-negative T cells and exhausted CD4+ central memory T cells subset were identified in patients with acute pneumonia. This T subset expressed higher levels of T-cell immunoglobulin and mucin domain-containing protein 3 (Tim3) and T-cell immunoreceptor with Ig and ITIM domains (TIGIT) in patients with acute pneumonia and stable pneumonia. Biological processes and pathways of immune cells including immune response activation, regulation of cell cycle and pathways in cancer in peripheral blood immune cells were defined by bulk RNA sequencing (RNA-seq). The heterogeneity among immune cells including CD4+ , CD8+ T cells and NK T cells by single immune cell RNA-seq with significant difference was found by single-cell sequencing. The effect of interstitial telocytes on the immune cell types and immune function was finally studied and the expressions of CD8a and chemokine C-C motif receptor 7 (CCR7) were increased significantly in co-cultured groups. Our data indicate that proteomic and transcriptomic profiles and heterogeneity of circulating immune cells provides new insights for understanding new molecular mechanisms of immune cell function, interaction and modulation as a source to identify and develop biomarkers and targets for lung diseases.

LncRNA NEAT1 correlates with Th1 and Th17 and could serve as an assistant biomarker in sepsis

Aim: Investigating correlation of lncRNA NEAT1 with Th1 and Th17 in sepsis, and their associations with inflammation, disease severity and prognosis. Materials & methods: A total of 127 sepsis patients and 50 health subjects were included. LncRNA NEAT1, Th1, Th17 and Th1/Th17-secreted cytokines were detected. Results: LncRNA NEAT1 positively correlated with Th1 and Th17 cell proportions in sepsis patients. LncRNA NEAT1 positively correlated with Th1 and Th17-secreted cytokine levels in sepsis patients. LncRNA NEAT1 and Th17 cell proportion positively correlated with CRP level, acute physiology and chronic health evaluation II score and sequential organ failure assessment score. High lncRNA NEAT1 expression, Th1 and Th17 cell proportions correlated with elevated accumulating mortality. Conclusion: LncRNA NEAT1 positively correlated with Th1 and Th17, and may serve as an assistant biomarker in sepsis patients.

IL-17 is a potential biomarker for predicting the severity and outcomes of pulmonary contusion in trauma patients

Pulmonary contusion (PC) is very common in blunt chest trauma, and always results in negative pulmonary outcomes, such as pneumonia, acute respiratory distress syndrome (ARDS), respiratory failure or even death. However, there are no effective biomarkers which can be used to predict the outcomes in these patients. The present study aimed to determine the value of interleukin (IL)-17 and IL-22 in predicting the severity and outcomes of PC in trauma patients. All trauma patients admitted to The First Affiliated Hospital of Guangxi Medical University between January 2015 and December 2017, were studied. Patients aged >14 years old with a diagnosis of PC upon their admission to the emergency department were included. Patients with PC were enrolled as the PC group, patients without PC were enrolled as the non-PC group, and healthy individuals were selected as the control group. Clinical information, including sociodemographic parameters, clinical data, biological findings and therapeutic interventions were recorded for all patients who were enrolled. Blood samples were collected and stored according to the established protocols. PC volume was measured by computed tomography and plasma cytokine levels were assayed by ELISA. A total of 151 patients with PC (PC group) and 159 patients without PC (non-PC group) were included in the present study. In addition, 50 healthy individuals were used as the control group. The primary cause of PC was motor vehicle crashes. PC patients had more rib fractures, but similar injury severity scores compared with other patients. More patients received Pleurocan drainage treatment and had pneumonia complications in the PC group compared with the other two groups. PC patients had a high incidence of ARDS and admission to the intensive care unit (ICU). PC patients also experienced longer periods on mechanical ventilation and had longer stays in the ICU and hospital. PC volume was effective in predicting the outcomes of PC patients. IL-22 levels were similar in the PC group and non-PC group. However, IL-17 could be used as a biomarker to predict the severity of PC, and was strongly associated with PC volume. IL-17 was significantly associated with pro-inflammatory complications in PC patients and could be used as a biomarker for predicting in-patient outcomes of patients with PC. In conclusion, IL-17 is a potential biomarker for predicting the severity and outcomes of PC in trauma patients.