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The Microbiome in Asthma Heterogeneity: The Role of Multi-Omic Investigations
被引:0
|作者:
Huang, Yvonne J.
[1
]
机构:
[1] Univ Michigan, Med Sch, Dept Microbiol & Immunol, Dept Internal Med,Div Pulm & Crit Care Med, Ann Arbor, MI 48109 USA
关键词:
airways;
lung;
metabolomic;
metagenomic;
microbiota;
transcriptomic;
UPPER-AIRWAY MICROBIOTA;
LUNG MICROBIOME;
PATHOGENIC BACTERIA;
INNATE IMMUNITY;
METABOLISM;
PHENOTYPES;
SEVERITY;
DISEASE;
ALLERGY;
OBESITY;
D O I:
10.1111/imr.70015
中图分类号:
R392 [医学免疫学];
Q939.91 [免疫学];
学科分类号:
100102 ;
摘要:
Asthma is one of the most prevalent and extensively studied chronic respiratory conditions, yet the heterogeneity of asthma remains biologically puzzling. Established factors like exogenous exposures and treatment adherence contribute to variability in asthma risk and clinical outcomes. It is also clear that the endogenous factors of genetics and immune system response patterns play key roles in asthma. Despite significant existing knowledge in the above, divergent clinical trajectories and outcomes are still observed, even among individuals with similar risk profiles, biomarkers, and optimal medical management. This suggests uncaptured biological interactions that contribute to asthma's heterogeneity, for which the role of host microbiota has lately attracted much research attention. This review will highlight recent evidence in this area, focusing on bedside-to-bench investigations that have leveraged omic technologies to uncover microbiome links to asthma outcomes and immunobiology. Studies centered on the respiratory system and the use of multi-omics are noted in particular. These represent a new generation of reverse-translational investigations revealing potential functional crosstalk in host microbiomes that may drive phenotypic heterogeneity in chronic diseases like asthma. Multi-omic data offer a wide lens into ecosystem interactions within a host. This informs new hypotheses and experimental work to elucidate mechanistic pathways for unresolved asthma endotypes. Further incorporation of multi-omics into patient-centered investigations can yield new insights that hopefully lead to even more precise, microbiome-informed strategies to reduce asthma burden.
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