In-depth human immune cellular profiling from newborn to frail.

Immune functional decline and remodeling accompany aging and frailty. It is still largely unknown how changes in the immune cellular composition differentiate healthy individuals from those become frail at a relatively early age. Our aim in this exploratory study was to investigate immunological changes from newborn to frailty, and the association between health statute and various immune cell subtypes. The participants analyzed in this study covered human cord blood cells and peripheral blood cells collected from young adults, healthy and frail old individuals. A total of 30 immune cell subsets was performed by flow cytometry based on the surface markers of immune cells. Furthermore, frailty was investigated for its relations with various leukocyte subpopulations. Frail individuals exhibited a higher CD4/CD8 ratio, a higher proportion of CD4+ central memory T (TCM) cells, CD8+ effector memory T cells, CD27- switched memory B (CD27-BSM) cells, CD27+ switched memory B cells, age-associated B cells (ABCs) and CD38-CD24- B cells, and a lower proportion of naïve CD8 + T cells and progenitor B cells. The Frailty index score was found to be associated with naïve T cells, CD4/CD8 ratio, ABCs, CD27-BSM cells, and CD4+ TCM cells. Our findings conducted a relatively comprehensive and extensive atlas of age- and frailty-related changes in peripheral leukocyte subpopulations from newborn to frailty. The immune phenotypes identified in this study can contribute to a deeper understanding of immunosenescence in frailty and may provide a rationale for future interventions and diagnosis.

Detection of the CD8+ T cell immune response in mice infected with OVA-Listeria monocytogenes.

T cells are able to recognize and kill pathogens that infect host cells, including bacteria, viruses, and tumor cells. Here, we present a protocol to detect T cell function and bacterial load in OVA-Listeria monocytogenes-infected mice. We provide a detailed description of the steps for detecting OVA-specific CD8+ T cells and their cytokine expression levels in splenocytes using flow cytometry on day 7 after infecting mice with OVA-Listeria monocytogenes. Additionally, we describe the steps for detecting the OVA-Listeria monocytogenes load in the mouse liver. For complete details on the use and execution of this protocol, please refer to Chen et al.1.

Immunological risk factors for sepsis-associated delirium and mortality in ICU patients.

Background: A major challenge in intervention of critical patients, especially sepsis-associated delirium (SAD) intervention, is the lack of predictive risk factors. As sepsis and SAD are heavily entangled with inflammatory and immunological processes, to identify the risk factors of SAD and mortality in the intensive care unit (ICU) and determine the underlying molecular mechanisms, the peripheral immune profiles of patients in the ICU were characterized. Methods: This study contains a cohort of 52 critical patients who were admitted to the ICU of the First Affiliated Hospital of Jinan University. Comorbidity, including sepsis and SAD, of this cohort was diagnosed and recorded. Furthermore, peripheral blood samples were collected on days 1, 3, and 5 of admission for peripheral immune profiling with blood routine examination, flow cytometry, ELISA, RNA-seq, and qPCR. Results: The patients with SAD had higher mortality during ICU admission and within 28 days of discharge. Compared with survivors, nonsurvivors had higher neutrophilic granulocyte percentage, higher CRP concentration, lower monocyte count, lower monocyte percentage, lower C3 complement level, higher CD14loCD16+ monocytes percentage, and higher levels of IL-6 and TNFα. The CD14hiCD16- monocyte percentage manifested favorable prediction values for the occurrence of SAD. Differentially expressed genes between the nonsurvival and survival groups were mainly associated with immune response and metabolism process. The longitudinal expression pattern of SLC2A1 and STIMATE were different between nonsurvivors and survivors, which were validated by qPCR. Conclusions: Nonsurvival critical patients have a distinct immune profile when compared with survival patients. CD14hiCD16- monocyte prevalence and expression levels of SLC2A1 and STIMATE may be predictors of SAD and 28-day mortality in ICU patients.

Multidimensional single-cell analysis of human peripheral blood reveals characteristic features of the immune system landscape in aging and frailty.

Frailty is an intermediate status of the human aging process, associated with decompensated homeostasis and death. The immune phenotype of frailty and its underlying cellular and molecular processes remain poorly understood. We profiled 114,467 immune cells from cord blood, young adults and healthy and frail old adults using single-cell RNA and TCR sequencing. Here we show an age-dependent accumulation of transcriptome heterogeneity and variability in immune cells. Characteristic transcription factors were identified in given cell types of specific age groups. Trajectory analysis revealed cells from non-frail and frail old adults often fall into distinct paths. Numerous TCR clonotypes were shared among T-cell subtypes in old adults, indicating differential pluripotency and resilience capabilities of aged T cells. A frailty-specific monocyte subset was identified with exclusively high expression of long noncoding RNAs NEAT1 and MALAT1. Our study discovers human frailty-specific immune cell characteristics based on the comprehensive dimensions in the immune landscape of aging and frailty.

Gene Expression Analysis Reveals Age and Ethnicity Signatures Between Young and Old Adults in Human PBMC.

Human immune system functions over an entire lifetime, yet how and why the immune system becomes less effective with age are not well understood. Here, we characterize peripheral blood mononuclear cell transcriptome from 132 healthy adults with 21-90 years of age using the weighted gene correlation network analyses. In our study, 113 Caucasian from the 10KIP database and RNA-seq data of 19 Asian (Chinese) are used to explore the differential co-expression genes in PBMC aging. These two dataset reveal a set of insightful gene expression modules and representative gene biomarkers for human immune system aging from Asian and Caucasian ancestry, respectively. Among them, the aging-specific modules may show an age-related gene expression variation spike around early-seventies. In addition, we find the top hub genes including NUDT7, CLPB, OXNAD1, and MLLT3 are shared between Asian and Caucasian aging related modules and further validated in human PBMCs from different age groups. Overall, the impact of age and race on transcriptional variation elucidated from this study may provide insights into the transcriptional driver of immune aging.