Special Issue "Metabolomics and Chronic Obstructive Lung Diseases"
A special issue of Metabolites (ISSN 2218-1989).
Deadline for manuscript submissions: 30 June 2019
Assoc. Prof. Jessica Lasky-Su
Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
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Interests: Genetic epidemiology; asthma; GWAS genetics; metabolomics, COPD
Dr. Lasky-Su is an Associate Professor in Medicine and associate statistician at Harvard Medical School and Brigham and Women’s Hospital. Over the last 19 years, she has focused on the analysis of genetics, genomics, and metabolomics data of various complex diseases with a primary focus on asthma over the last 15 years. The accumulation of these efforts has resulted in a productive track record of over 120 original research articles. Her ongoing R01 proposals, “The Integrative Metabolomics of Asthma Severity” (PI, R01HL123915), "Mechanistic insights into asthma pathogenesis through the integration of asthma genes, risk exposures, and metabolomics" (PI, R01HL141826) and a Department of Defense grant, “Metabolomics of lead exposure and its role in respiratory disease”, have enabled her to develop a metabolomics research program at the Channing Division of Network Medicine that focuses on using metabolomics to study the etiology of chronic lung diseases. Dr. Lasky-Su’s more recent work has focused on integrative metabolomics and other omic data types particularly genetics and genomics. She has applied various integrative approaches using networks and more traditional statistical approaches. This work has resulted in the identification of important biological determinants for asthma, in particular, specific metabolites in the sphingolipid pathway that are related to ORMDL3, the most well-established asthma gene. Dr. Lasky-Su also serves in several metabolomics leadership capacities including being the acting chairman of the Consortium of METabolomic Studies (COMETS) and as a member of the board of the International Metabolomics Society.
The generation of metabolomic data in large epidemiological cohorts is now a reality, enabling the use of metabolomics to study the pathogenesis of many high impact diseases. Chronic obstructive lung diseases (COLDs), such as asthma, chronic obstructive pulmonary disease (COPD), and bronchitis, represent a group of common respiratory illnesses with a high public health impact. COLDs are complex in nature, with influences from both genetics and the environment. While genetic variants have been identified for several COLDs, to date, much remains to be understood about the ways in which these variants impact disease. Metabolomics represents an area of research that has the potential to contribute substantially to the understanding of disease etiology, and in particular providing insight into how identified genetic variants may impact disease. This Special Issue highlights the use of metabolomics in COLDs. Specific areas include, but are not limited to, using metabolomics to study the etiology of COLDs; the generation of metabolic biomarkers for COLDs; the integration of multi-omic data for COLDs, bioinformatics, statistical, network, and analytic approaches that are relevant for COLDs, study design for the metabolomics of COLDs, and tissue-specific metabolomics for respiratory disease.
Assoc. Prof. Jessica Lasky-Su, Sc.D.
Manuscript Submission Information
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- Chronic obstructive lung disease
- Integrative omics
- Exhaled breath condensate