sábado, 27 de julio de 2019

Report: Dry AMD requires broad, systems biology approach leveraging big data, multiple disciplines | National Institutes of Health (NIH)

Report: Dry AMD requires broad, systems biology approach leveraging big data, multiple disciplines | National Institutes of Health (NIH)

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Report: Dry AMD requires broad, systems biology approach leveraging big data, multiple disciplines

Working group recommends strategy shift to discover dry AMD treatments.
A large-scale, collaborative, systems biology approach is needed to expedite the discovery of treatments for dry age-related macular degeneration (AMD) – a leading cause of blindness among people 65 and older for which is there is no treatment— according to a report by a working group of scientists appointed by the National Advisory Eye Council (NAEC). The NAEC is a 12-member panel that guides the National Eye Institute (NEI), part of the National Institutes of Health. The NAEC charged the working group to assess the state of research on dry AMD and to propose directions for future research.
“The working group thoroughly assessed what is known about dry AMD pathobiology, and the recommendations will be informative for considering future NEI research priorities to align with promising pathways for discovering therapeutic targets,” said NEI Director, Paul A. Sieving, M.D., Ph.D.
In the United States alone, an estimated 11 million people have AMD, and the dry form, otherwise known as non-neovascular AMD, accounts for most cases. Less prevalent is the neovascular “wet” form of AMD, for which several treatment options are available. Wet AMD involves an overgrowth of new blood vessels within eye structures that typically leads to rapid and severe vision loss. The advent of anti-VEGF drugs aimed at preventing the growth of new blood vessels dramatically changed the prognosis for many patients with the disease.  
By contrast, no therapies exist for dry AMD, which tends to progress more gradually, causing a slower decline in visual function.
Both forms of AMD involve a complex interplay of pathogenic factors, including genetics and lifestyle risk factors such as smoking. Research thus far has failed to decipher how these various factors interact in dry AMD and, according to the report, success in doing so would require a large-scale, collaborative and multidisciplinary approach.
“We propose that researchers utilize a systems biology approach, integrating the big data available from clinical registries and various fields of biology known as ‘omics’ to develop better models and ultimately treatments for patients with this blinding disease,” said report co-author Joan W. Miller, M.D., chair, Harvard Medical School Department of Ophthalmology, Boston.
“This approach would integrate basic, genomic, pre-clinical, medical, pharmacological, and clinical data into mathematical models of pathological processes at different stages of dry AMD in order to ask how relevant individual components act together within the living system,” Dr. Miller said.
The report appears July 26 in Nature Communications.
NEI leads the federal government’s research on the visual system and eye diseases. NEI supports basic and clinical science programs to develop sight-saving treatments and address special needs of people with vision loss. For more information, visit https://www.nei.nih.gov.
About the National Institutes of Health (NIH): NIH, the nation's medical research agency, includes 27 Institutes and Centers and is a component of the U.S. Department of Health and Human Services. NIH is the primary federal agency conducting and supporting basic, clinical, and translational medical research, and is investigating the causes, treatments, and cures for both common and rare diseases. For more information about NIH and its programs, visit www.nih.gov.
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Reference:

Handa JT, Rickman CB, Dick AD, Gorin MB, Miller JW, Toth CA, Ueffing M, Zarbin M, Farrer LA. “A systems biology approach towards understanding and treating non-neovascular age-related macular degeneration.” July 26, 2019. Nature Communications doi.org/10.1038/s41467-019-11262-

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