Physiological, biochemical, and genome-wide expression patterns during graded normobaric hypoxia in healthy individuals

被引:0
|
作者
Rani, Ritu [1 ,2 ,3 ,4 ]
Kutum, Rintu [2 ,3 ,4 ]
Punera, Deep Shikha [1 ,2 ,3 ,4 ]
Yadav, Anand Prakash [1 ,5 ]
Bansal, Vishal [5 ]
Prasher, Bhavana [1 ,2 ,3 ,4 ]
机构
[1] Council Sci & Ind Res CSIR, Inst Genom & Integrat Biol, Ctr Excellence Appl Dev Ayurveda Prakriti & Genom, Delhi, India
[2] CSIR Inst Genom & Integrat Biol, CSIRs Ayurgen Unit, TRISUTRA Translat Res & Innovat Sci Ayurgen, New Delhi, India
[3] CSIR Inst Genom & Integrat Biol, Genom & Mol Med, Delhi, India
[4] Acad Sci & Innovat Res AcSIR, Ghaziabad, India
[5] Vallabhbhai Patel Chest Inst, Delhi, India
关键词
graded normobaric hypoxia; HAPE; heart rate variability; ARTERIAL OXYGEN-SATURATION; ACUTE MOUNTAIN-SICKNESS; HEART-RATE-VARIABILITY; BRAIN NATRIURETIC PEPTIDE; HIGH-ALTITUDE; CARDIOVASCULAR REGULATION; 3-NITROTYROSINE; PREDICTION; STABILITY; APOPTOSIS;
D O I
10.1152/physiolgenomics.00056.2024
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
The regulation of oxygen homeostasis is critical in physiology and disease pathogenesis. High-altitude environment or hypoxia (lack of oxygen) can lead to adverse health conditions such as high-altitude pulmonary edema (HAPE) despite initial adaptive physiological responses. Studying genetic, hematological and biochemical, and the physiological outcomes of hypoxia together could yield a comprehensive understanding and potentially uncover valuable biomarkers for predicting responses. To this end, healthy individuals (n = 51) were recruited and exposed to graded normobaric hypoxia. Physiological parameters such as heart rate (HR), heart rate variability (HRV), oxygen saturation (Spo(2)), and blood pressure (BP) were constantly monitored, and a blood sample was collected before and after the hypoxia exposure for the hematological and gene-expression profiles. HR was elevated, and Spo(2) and HRV were significantly reduced in a fraction of inspired oxygen (FIO2)-dependent manner. After exposure to hypoxia, there was a minimal decrease in HCT, red blood cell distribution width (RDW)-coefficient of variation (CV), mean platelet volume (MPV), platelet distribution width, plateletcrit, eosinophils, lymphocytes, and HDL cholesterol. Additionally, there was a marginal increase observed in neutrophils. The effect of hypoxia was further assessed at the genome-wide expression level in a subset of individuals. Eighty-two genes significantly differed after hypoxia exposure, with 46 upregulated genes and 36 downregulated genes (P <= 0.05 and log(2)-fold change greater than +/- 0.5). We also conducted an integrative analysis of global gene expression profiles linked with physiological parameters, and we uncovered numerous reliable gene signatures associated with BP, Spo(2), HR, and HRV in response to graded normobaric hypoxia. NEW & NOTEWORTHY Our study delves into the multifaceted response to hypoxia, integrating gene expression and hematological, biochemical, and physiological assessments. Hypoxia, crucial in both physiology and pathology, prompts varied responses, necessitating a thorough systemic understanding. Examining healthy subjects exposed to graded normobaric hypoxia, we observed significant shifts in heart rate, oxygen saturation, and heart rate variability. Moreover, genomic analysis unveiled distinct gene signatures associated with physiological parameters, offering insights into molecular perturbations and adaptations to oxygen deprivation.
引用
收藏
页码:49 / 64
页数:16
相关论文
共 50 条
  • [1] Genome-wide expression patterns in physiological cardiac hypertrophy
    Ignat Drozdov
    Sophia Tsoka
    Christos A Ouzounis
    Ajay M Shah
    BMC Genomics, 11
  • [2] Genome-wide expression patterns in physiological cardiac hypertrophy
    Drozdov, Ignat
    Tsoka, Sophia
    Ouzounis, Christos A.
    Shah, Ajay M.
    BMC GENOMICS, 2010, 11
  • [3] Genome-wide patterns of gene expression in cancer
    Botstein, D
    Brown, PO
    MOLECULAR BIOLOGY OF THE CELL, 1999, 10 : 1A - 1A
  • [4] Biochemical systems analysis of genome-wide expression data
    Voit, EO
    Radivoyevitch, T
    BIOINFORMATICS, 2000, 16 (11) : 1023 - 1037
  • [5] Genome-wide analysis of spatiotemporal expression patterns during rice leaf development
    Masayuki Miya
    Takanori Yoshikawa
    Yutaka Sato
    Jun-Ichi Itoh
    BMC Genomics, 22
  • [6] Genome-wide analysis of spatiotemporal expression patterns during rice leaf development
    Miya, Masayuki
    Yoshikawa, Takanori
    Sato, Yutaka
    Itoh, Jun-Ichi
    BMC GENOMICS, 2021, 22 (01)
  • [7] Genome-Wide Patterns of Arabidopsis Gene Expression in Nature
    Richards, Christina L.
    Rosas, Ulises
    Banta, Joshua
    Bhambhra, Naeha
    Purugganan, Michael D.
    PLOS GENETICS, 2012, 8 (04): : 482 - 495
  • [8] Cluster analysis and display of genome-wide expression patterns
    Eisen, MB
    Spellman, PT
    Brown, PO
    Botstein, D
    PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 1998, 95 (25) : 14863 - 14868
  • [9] Genome-wide analysis of spatiotemporal gene expression patterns during early embryogenesis in rice
    Itoh, Jun-Ichi
    Sato, Yutaka
    Sato, Yutaka
    Hibara, Ken-Ichiro
    Shimizu-Sato, Sae
    Kobayashi, Hiromi
    Takehisa, Hinako
    Sanguinet, Karen A.
    Namiki, Nobukazu
    Nagamura, Yoshiaki
    DEVELOPMENT, 2016, 143 (07): : 1217 - 1227
  • [10] Genome-Wide Identification of Histone Modifiers and Their Expression Patterns during Fruit Abscission in Litchi
    Peng, Manjun
    Ying, Peiyuan
    Liu, Xuncheng
    Li, Caiqin
    Xia, Rui
    Li, Jianguo
    Zhao, Minglei
    FRONTIERS IN PLANT SCIENCE, 2017, 8