Posted on by Dr. Francis Collins
Each morning, more than 2 million Americans start their rise-and-shine routine by remembering to take their eye drops. The drops treat their open-angle glaucoma, the most-common form of the disease, caused by obstructed drainage of fluid where the eye’s cornea and iris meet. The slow drainage increases fluid pressure at the front of the eye. Meanwhile, at the back of the eye, fluid pushes on the optic nerve, causing its bundled fibers to fray and leading to gradual loss of side vision.
For many, the eye drops help to lower intraocular pressure and prevent vision loss. But for others, the drops aren’t sufficient and their intraocular pressure remains high. Such people will need next-level care, possibly including eye surgery, to reopen the clogged drainage ducts and slow this disease that disproportionately affects older adults and African Americans over age 40.
Sally Baxter, a physician-scientist with expertise in ophthalmology at the University of California, San Diego (UCSD), wants to learn how to predict who is at greatest risk for serious vision loss from open-angle and other forms of glaucoma. That way, they can receive more aggressive early care to protect their vision from this second-leading cause of blindness in the U.S..
To pursue this challenging research goal, Baxter has received a 2020 NIH Director’s Early Independence Award. Her research will build on the clinical observation that people with glaucoma frequently battle other chronic health problems, such as high blood pressure, diabetes, and heart disease. To learn more about how these and other chronic health conditions might influence glaucoma outcomes, Baxter has begun mining a rich source of data: electronic health records (EHRs).
In an earlier study of patients at UCSD, Baxter showed that EHR data helped to predict which people would need glaucoma surgery within the next six months . The finding suggested that the EHR, especially information on a patient’s blood pressure and medications, could predict the risk for worsening glaucoma.
In her NIH-supported work, she’s already extended this earlier “Big Data” finding by analyzing data from more than 1,200 people with glaucoma who participate in NIH’s All of Us Research Program . With consent from the participants, Baxter used their EHRs to train a computer to find telltale patterns within the data and then predict with 80 to 99 percent accuracy who would later require eye surgery.
The findings confirm that machine learning approaches and EHR data can indeed help in managing people with glaucoma. That’s true even when the EHR data don’t contain any information specific to a person’s eye health.
In fact, the work of Baxter and other groups have pointed to an especially important role for blood pressure in shaping glaucoma outcomes. Hoping to explore this lead further with the support of her Early Independence Award, Baxter also will enroll patients in a study to test whether blood-pressure monitoring smart watches can add important predictive information on glaucoma progression. By combining round-the-clock blood pressure data with EHR data, she hopes to predict glaucoma progression with even greater precision. She’s also exploring innovative ways to track whether people with glaucoma use their eye drops as prescribed, which is another important predictor of the risk of irreversible vision loss .
Glaucoma research continues to undergo great progress. This progress ranges from basic research to the development of new treatments and high-resolution imaging technologies to improve diagnostics. But Baxter’s quest to develop practical clinical tools hold great promise, too, and hopefully will help one day to protect the vision of millions of people with glaucoma around the world.
 Machine learning-based predictive modeling of surgical intervention in glaucoma using systemic data from electronic health records. Baxter SL, Marks C, Kuo TT, Ohno-Machado L, Weinreb RN. Am J Ophthalmol. 2019 Dec; 208:30-40.
 Predictive analytics for glaucoma using data from the All of Us Research Program. Baxter SL, Saseendrakumar BR, Paul P, Kim J, Bonomi L, Kuo TT, Loperena R, Ratsimbazafy F, Boerwinkle E, Cicek M, Clark CR, Cohn E, Gebo K, Mayo K, Mockrin S, Schully SD, Ramirez A, Ohno-Machado L; All of Us Research Program Investigators. Am J Ophthalmol. 2021 Jul;227:74-86.
 Smart electronic eyedrop bottle for unobtrusive monitoring of glaucoma medication adherence. Aguilar-Rivera M, Erudaitius DT, Wu VM, Tantiongloc JC, Kang DY, Coleman TP, Baxter SL, Weinreb RN. Sensors (Basel). 2020 Apr 30;20(9):2570.
Glaucoma (National Eye Institute/NIH)
Video: Sally Baxter (All of Us Research Program)
Sally Baxter (University of California San Diego)
Baxter Project Information (NIH RePORTER)
NIH Director’s Early Independence Award (Common Fund)
NIH Support: Common Fund
Posted on by Dr. Francis Collins
Most of us think of mucus as little more than slimy and somewhat yucky stuff that’s easily ignored until you come down with a cold like the one I just had. But, when it comes to our health, there’s much more to mucus than you might think.
Mucus covers the moist surfaces of the human body, including the eyes, nostrils, lungs, and gastrointestinal tract. In fact, the average person makes more than a liter of mucus each day! It houses trillions of microbes and serves as a first line of defense against the subset of those microorganisms that cause infections. For these reasons, NIH-funded researchers, led by Katharina Ribbeck, Massachusetts Institute of Technology, Cambridge, are out to gain a greater understanding of the biology of healthy mucus—and then possibly use that knowledge to develop new therapeutics.
Ribbeck’s team used a scanning electron microscope to take the image of mucus you see above. You’ll notice right away that mucus doesn’t look like simple slime at all. In fact, if you could zoom into this complex web, you’d discover it’s made up of mucin proteins and glycans, which are sugar molecules that resemble bottle brushes.
Ribbeck and her colleagues recently discovered that the glycans in healthy mucus play a long-overlooked role in “taming” bacteria that might make us ill . This work builds on their previous findings that mucus interferes with bacterial behavior, preventing these bugs from attaching to surfaces and communicating with each other .
In their new study, published in Nature Microbiology, Ribbeck, lead author Kelsey Wheeler, and their colleagues studied mucus and its interactions with Pseudomonas aeruginosa. This bacterium is a common cause of serious lung infections in people with cystic fibrosis or compromised immune systems.
The researchers found that in the presence of glycans, P. aeruginosa was rendered less harmful and infectious. The bacteria also produced fewer toxins. The findings show that it isn’t just that microbes get trapped in a tangled web within mucus, but rather that glycans have a special ability to moderate the bugs’ behavior. The researchers also have evidence of similar interactions between mucus and other microorganisms, such as those responsible for yeast infections.
The new study highlights an intriguing strategy to tame, rather than kill, bacteria to manage infections. In fact, Ribbeck views mucus and its glycans as a therapeutic gold mine. She hopes to apply what she’s learned to develop artificial mucus as an anti-microbial therapeutic for use inside and outside the body. Not bad for a substance that you might have thought was nothing more than slimy stuff.
 Mucin glycans attenuate the virulence of Pseudomonas aeruginosa in infection. Wheeler KM, Cárcamo-Oyarce G, Turner BS, Dellos-Nolan S, Co JY, Lehoux S, Cummings RD, Wozniak DJ, Ribbeck K. Nat Microbiol. 2019 Oct 14.
 Mucins trigger dispersal of Pseudomonas aeruginosa biofilms. Co JY, Cárcamo-Oyarce, Billings N, Wheeler KM, Grindy SC, Holten-Andersen N, Ribbeck K. NPJ Biofilms Microbiomes. 2018 Oct 10;4:23.
Cystic Fibrosis (National Heart, Lung, and Blood Institute/NIH)
Video: Chemistry in Action—Katharina Ribbeck (YouTube)
Katharina Ribbeck (Massachusetts Institute of Technology, Cambridge)
NIH Support: National Institute of Biomedical Imaging and Bioengineering; National Institute of Environmental Health Sciences; National Institute of General Medical Sciences; National Institute of Allergy and Infectious Diseases
Posted on by Dr. Francis Collins
Walk into a dark room, and it takes a minute to make out the objects, from the wallet on the table to the sleeping dog on the floor. But after a few seconds, our eyes are able to adjust and see in the near-dark, thanks to a protein called rhodopsin found at the surface of certain specialized cells in the retina, the thin, vision-initiating tissue that lines the back of the eye.
This illustration shows light-activating rhodopsin (orange). The light photons cause the activated form of rhodopsin to bind to its protein partner, transducin, made up of three subunits (green, yellow, and purple). The binding amplifies the visual signal, which then streams onward through the optic nerve for further processing in the brain—and the ability to avoid tripping over the dog.
Posted on by Dr. Francis Collins
This graph provides a frightening look at a problem that could threaten the vision of more than 6 million Americans by 2050: glaucoma. Glaucoma is a group of diseases that damage the eye’s optic nerve — a bundle of 1 million-plus nerve fibers connecting the light-sensitive retina to the brain — and that can lead to vision loss and blindness.
NIH research is trying to change this picture by developing better strategies for treatment and prevention. But you can also help. How? By getting your eyes checked regularly.
With early detection and treatment, serious vision loss can often be prevented. Anyone can develop glaucoma, but some folks are at higher risk:
- African Americans over age 40
- Everyone over age 60, especially Mexican Americans
- People with a family history of glaucoma
Glaucoma often has no symptoms until a lot of damage has already been done. So the best way to prevent a bad outcome from glaucoma is by undergoing a simple eye exam that can be done by an ophthalmologist or an optometrist — at least once every 2 years for people in high-risk groups.
Source: National Eye Institute, NIH