Abstract:SUMMARY
Neutrophils were long considered to be a short-lived homogenous cell population, limited to their role as first responders in anti-bacterial and -fungal immunity. While it is true that neutrophils are first to infiltrate the site of infection to eliminate pathogens, growing evidence suggests their functions could extend beyond those of basic innate immune cells. Along with their well-established role in pathogen elimination, utilizing effector functions such as phagocytosis, degranulatio… Show more
“… 6 Neutrophil depolarization is a feature of neutrophil activation, which has also been associated with auto‐immunity, but this has not been studied extensively. 23 We found the red blood cell distribution width (rdw) to be negatively associated with irAE. Increased rdw is known to be associated with infections, which are arguably the most likely alternative diagnosis when considering irAE.…”
Section: Discussionmentioning
confidence: 79%
“…Eosinophiles are thought to play a pathogenic role in auto‐immune disorders and are known to be associated with irAE 6 . Neutrophil depolarization is a feature of neutrophil activation, which has also been associated with auto‐immunity, but this has not been studied extensively 23 . We found the red blood cell distribution width (rdw) to be negatively associated with irAE.…”
Background
Immune checkpoint inhibitors (ICI) show remarkable results in cancer treatment, but at the cost of immune‐related adverse events (irAE). irAE can be difficult to differentiate from infections or tumor progression, thereby challenging treatment, especially in the emergency department (ED) where time and clinical information are limited. As infections are traceable in blood, we were interested in the added diagnostic value of routinely measured hematological blood cell characteristics in addition to standard diagnostic practice in the ED to aid irAE assessment.
Methods
Hematological variables routinely measured with our hematological analyzer (Abbott CELL‐DYN Sapphire) were retrieved from Utrecht Patient Oriented Database (UPOD) for all patients treated with ICI who visited the ED between 2013 and 2020. To assess the added diagnostic value, we developed and compared two models; a base logistic regression model trained on the preliminary diagnosis at the ED, sex, and gender, and an extended model trained with lasso that also assessed the hematology variables.
Results
A total of 413 ED visits were used in this analysis. The extended model showed an improvement in performance (area under the receiver operator characteristic curve) over the base model, 0.79 (95% CI 0.75–0.84), and 0.67 (95% CI 0.60–0.73), respectively. Two standard blood count variables (eosinophil granulocyte count and red blood cell count) and two advanced variables (coefficient of variance of neutrophil depolarization and red blood cell distribution width) were associated with irAE.
Conclusion
Hematological variables are a valuable and inexpensive aid for irAE diagnosis in the ED. Further exploration of the predictive hematological variables could yield new insights into the pathophysiology underlying irAE and in distinguishing irAE from other inflammatory conditions.
“… 6 Neutrophil depolarization is a feature of neutrophil activation, which has also been associated with auto‐immunity, but this has not been studied extensively. 23 We found the red blood cell distribution width (rdw) to be negatively associated with irAE. Increased rdw is known to be associated with infections, which are arguably the most likely alternative diagnosis when considering irAE.…”
Section: Discussionmentioning
confidence: 79%
“…Eosinophiles are thought to play a pathogenic role in auto‐immune disorders and are known to be associated with irAE 6 . Neutrophil depolarization is a feature of neutrophil activation, which has also been associated with auto‐immunity, but this has not been studied extensively 23 . We found the red blood cell distribution width (rdw) to be negatively associated with irAE.…”
Background
Immune checkpoint inhibitors (ICI) show remarkable results in cancer treatment, but at the cost of immune‐related adverse events (irAE). irAE can be difficult to differentiate from infections or tumor progression, thereby challenging treatment, especially in the emergency department (ED) where time and clinical information are limited. As infections are traceable in blood, we were interested in the added diagnostic value of routinely measured hematological blood cell characteristics in addition to standard diagnostic practice in the ED to aid irAE assessment.
Methods
Hematological variables routinely measured with our hematological analyzer (Abbott CELL‐DYN Sapphire) were retrieved from Utrecht Patient Oriented Database (UPOD) for all patients treated with ICI who visited the ED between 2013 and 2020. To assess the added diagnostic value, we developed and compared two models; a base logistic regression model trained on the preliminary diagnosis at the ED, sex, and gender, and an extended model trained with lasso that also assessed the hematology variables.
Results
A total of 413 ED visits were used in this analysis. The extended model showed an improvement in performance (area under the receiver operator characteristic curve) over the base model, 0.79 (95% CI 0.75–0.84), and 0.67 (95% CI 0.60–0.73), respectively. Two standard blood count variables (eosinophil granulocyte count and red blood cell count) and two advanced variables (coefficient of variance of neutrophil depolarization and red blood cell distribution width) were associated with irAE.
Conclusion
Hematological variables are a valuable and inexpensive aid for irAE diagnosis in the ED. Further exploration of the predictive hematological variables could yield new insights into the pathophysiology underlying irAE and in distinguishing irAE from other inflammatory conditions.
“…Low MCV or MCH levels can be due to lead poisoning, microcytic anemia or hemoglobinopathy. 30 Microcytic anemia is usually caused by an iron deficiency. Hemoglobinopathies are genetic disorders such as sickle cell anemia that result in abnormally shaped hemoglobin, making it unable to efficiently carry oxygen through the blood.…”
Vata Gajendra Singha (VGS), an Ayurvedic preparation, is used in traditional medicine to treat rheumatoid arthritis in the rural population. The effect of chronic administration of Vata Gajendra Singha (VGS) on the hematological parameters was studied. The acute test of VGS recorded no death, even at the highest dose of 80 ml/ Kg body weight. During chronic testing, the animals were divided into three groups. The first two groups were given VGS preparation at a low dose of 50 mg/kg and a high dose of 400 mg/kg for 28 days, while the third group that served as the control received water for the same period. After 28 days of chronic administration of the VGS preparation, some hematological parameter changes were noted. There were notable changes in the percentage of neutrophils, lymphocytes, Mean Corpuscular Hemoglobin, and platelets attributed on the high and low dosage of Vata Gajendra Singha. These hematological parameters are some important factors related to a variety of disease conditions. Vata Gajendra Singha negatively affect some hematological parameters abnormally in treated rats and should not be administered chronically at a higher dose.
“…Neutrophils, as active patrollers of the circulation, have been described in the natural history of T1D over the last years (20, 21). Contradictory evidence exists however on peripheral neutrophil counts and functions like neutrophil extracellular trap (NET) formation during different disease stages (reviewed in (22)), but our group recently demonstrated with high-throughput live-cell imaging that peripheral NETosis was not aberrant in children and adults at various stages of T1D development (23). Still, neutrophils and NET-associated proteins have been shown to accumulate locally in the human pancreas, more specifically in the exocrine part, during the pre-symptomatic stages of T1D and persisted afterwards (5,24).…”
IntroductionType 1 diabetes (T1D) is defined by immune cell infiltration of the pancreas, in particular the islets of Langerhans, referred to as insulitis, which is especially prominent during the early disease stages in association with decreased beta cell mass. An in-depth understanding of the dynamics and phenotype of the immune cells infiltrating the pancreas and the accompanying changes in their profiles in peripheral blood during T1D development is critical to generate novel preventive and therapeutic approaches, as well as to find biomarkers for the disease process.MethodsUsing multi-parameter flow cytometry, we explored the dynamic changes of immune cells infiltrating the pancreas and the pancreatic draining lymph nodes (PLN), compared to those in peripheral blood in female and male non-obese diabetic (NOD) mice during T1D progression.ResultsThe early stages of T1D development were characterized by an influx of innate dendritic cells and neutrophils in the pancreas. While dendritic cells seemed to move in and out (to the PLN), neutrophils accumulated during the pre-symptomatic phase and reached a maximum at 8 weeks of age, after which their numbers declined. During disease progression, CD4+ and CD8+ T cells appeared to continuously migrate from the PLN to the pancreas, which coincided with an increase in beta cell autoimmunity and insulitis severity, and a decline in insulin content. At 12 weeks of age, CD4+ and especially CD8+ T cells in the pancreas showed a dramatic shift from naïve to effector memory phenotype, in contrast to the PLN, where most of these cells remained naïve. A large proportion of pancreas infiltrating CD4+ T cells were naïve, indicating that antigenic stimulation was not necessary to traffic and invade the pancreas. Interestingly, a pre-effector-like T cell dominated the peripheral blood. These cells were intermediates between naïve and effector memory cells as identified by single cell RNA sequencing and might be a potential novel therapeutic target.ConclusionThese time- and tissue-dependent changes in the dynamics and functional states of CD4+ and CD8+ T cells are essential steps in our understanding of the disease process in NOD mice and need to be considered for the interpretation and design of disease-modifying therapies.
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