Aug 2026· The Indian journal of medical research· Vol 164, pp. 461 - 468· 0 citations· 29 references
Medicine
Abstract
Background and objectives Comprehensive immune-cell subset characterisation in healthy adults is the prerequisite for enabling accurate diagnosis of primary immunodeficiencies and informed therapeutic decision-making in targeted immunotherapies. Herein, we aim to establish biological reference intervals (BRIs) for leukocyte subsets for interpreting immunophenotypic data and identifying deviations in different pathological settings. Methods This prospective study was conducted at a tertiary care hospital and research centre in northern India over a period of six months using standardised multiparametric flow-cytometric immunophenotyping (FCMI). Peripheral blood from 120 healthy adult donors was analysed by 13-color, 15-parameter flow cytometry (Beckman Coulter Dx Flex). Thirty-seven leucocyte subsets were identified based on expression of surface markers including lymphoid (B, T and their subsets), myeloid (granulocytes, dendritic cells, monocytes and its subsets) and NK cell subsets. Frequencies and absolute counts were compared across gender and age groups by Mann–Whitney U and Kruskal–Wallis tests (P≤0.05). Results Males showed higher median total lymphocytes, absolute T-cells, cytotoxic T and memory T-regs, while females exhibited higher % of T-lymphocytes, helper T cells, and early terminally differentiated effector memory re-activating cells (TEMRA ) fractions. B-cell analysis revealed higher mature, transitional, switched-memory, and circulating plasma-cell counts in males. Naïve B cells remained the predominant subset across adulthood, showing biphasic variation with age, while memory B cells peaked in early adulthood, followed by a decline. Interpretation and conclusions When compared with Euro-Flow data, Indian adults displayed overall concordance with global reference ranges, though with broader variability in T and B subsets. These baseline values will refine immune monitoring, improve diagnostic precision in immunodeficiency disorders and guide therapeutic decisions in immune-modifying therapies.
Fixed whole blood fixation protocol for high-dimensional spectral cytometry is implemented to preserve surface protein epitopes and enable high-dimensional flow cytometry without the need for immediate sample processing, revealing consistent identification of major immune lineages.
V. Parthasarathy, A. Heubeck, Tyanna J. Stuckey et al.· Cytometry Part A· 0 citations
BACKGROUND
Flow cytometric enumeration of peripheral blood lymphocyte subsets (EPBLS) is essential for disease management, yet standardized validation criteria are lacking. We defined key performance characteristics under harmonized conditions to support criteria development.
METHODS
205 whole blood samples and 54 qu...
Lin Xiao, Yuan Wang, Yi Li et al.· Translational Research: The...· 0 citations
Comprehensive immune profiling is essential for immunomonitoring studies aimed at identification of diagnostic and prognostic biomarkers. Peripheral blood mononuclear cells (PBMCs) undergo phenotypic and functional changes during disease, making them invaluable for the characterization of immune cell composition in bot...
M. H. Rietdijk, Leo C. Kuhnen, M. van den Braber et al.· Frontiers in Immunology· 0 citations
Background/Objectives: This study aimed to characterize the cell-mediated immune (CMI) profile—peripheral lymphocyte subsets, a 14-cytokine panel, and intracellular granzyme B/perforin expression—in children with acute IM compared with age- and sex-matched healthy controls, and to describe its dynamics at symptom resol...
Zhu-Zan Sun, Zhi-Hui Ning, Ning Han et al.· Children· 0 citations
Although internally identified immune phenotypes in sepsis provide limited additional prognostic discrimination beyond established severity scores and routine laboratory indicators, they provide valuable insights into immune dysfunction and represent a potential framework for immune stratification.
Rong Luo, Yi-Xia Xie, Xiao-Fang Deng et al.· Frontiers in Immunology· 0 citations
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