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Using Science To Solve Oral Health Inequities
Posted on by Rena D'Souza, D.D.S., M.S., Ph.D., National Institute of Dental and Craniofacial Research
At NIH, we have a front row seat to remarkable advances in science and technology that help Americans live longer, healthier lives. By studying the role that the mouth and saliva can play in the transmission and prevention of disease, the National Institute of Dental and Craniofacial Research (NIDCR) contributed to our understanding of infectious agents like the coronavirus SARS-CoV-2, the cause of COVID-19. While these and other NIH-supported advances undoubtedly can improve our nation’s health as a whole, not everyone enjoys the benefits equally—or at all. As a result, people’s health, including their oral health, suffers.
That’s a major takeaway from Oral Health in America: Advances and Challenges, a report that NIDCR recently released on the status of the nation’s oral health over the last 20 years. The report shows that oral health has improved in some ways, but people from marginalized groups —such as those experiencing poverty, people from racial and ethnic minority groups, the frail elderly, and immigrants—shoulder an unequal burden of oral disease.
At NIDCR, we are taking the lessons learned from the Oral Health in America report and using them to inform our research. It will help us to discover ways to eliminate these oral health differences, or disparities, so that everyone can enjoy the benefits of good oral health.
Why does oral health matter? It is essential for our overall health, well-being, and productivity. Untreated oral diseases, such as tooth decay and gum disease, can cause infections, pain, and tooth loss, which affect the ability to chew, swallow, eat a balanced diet, speak, smile, and go to school and work.
Treatments to fix these problems are expensive, so people of low socioeconomic means are less likely to receive quality care in a timely manner. Importantly, untreated gum disease is associated with serous systemic conditions such as diabetes, heart disease, and Alzheimer’s disease.
A person experiencing poverty also may be at increased risk for mental illness. That, in turn, can make it hard to practice oral hygiene, such as toothbrushing and flossing, or to maintain a relationship with a dental provider. Mental illnesses and substance use disorders often go hand-in-hand, and overuse of opioids, alcohol, and tobacco products also can raise the risk for tooth decay, gum disease, and oral cancers. Untreated dental diseases in this setting can cause pain, sometimes leading to increased substance use as a means of self-medication.
Research to understand better the connections between mental health, addiction, and oral health, particularly as they relate to health disparities, can help us develop more effective ways to treat patients. It also will help us prepare health providers, including dentists, to deliver the right kind of care to patients.
Another area that is ripe for investigation is to find ways to make it easier for people to get dental care, especially those from marginalized or rural communities. For example, the COVID-19 pandemic spurred more dentists to use teledentistry, where practitioners meet with patients remotely as a way to provide certain aspects of care, such as consultations, oral health screenings, treatment planning, and education.
Teledentistry holds promise as a cost-saving approach to connect dentists to people living in regions that may have a shortage of dentists. Some evidence suggests that providing access to oral health care outside of dental clinics—such as in schools, primary care offices, and community centers—has helped reduce oral health disparities in children. We need additional research to find out if this type of approach also might reduce disparities in adults.
These are just some of the opportunities highlighted in the Oral Health in America report that will inform NIDCR’s research in the coming years. Just as science, innovation, and new technologies have helped solve some of the most challenging health problems of our time, so too can they lead us to solutions for tackling oral health disparities. Our job will not be done until we can improve oral and overall health for everyone across America.
Oral Health in America: Advances and Challenges (National Institute of Dental and Craniofacial Research/NIH)
Oral Health in America Editors Issue Guidance for Improving Oral Health for All (NIDCR)
NIH, HHS Leaders Call for Research and Policy Changes To Address Oral Health Inequities (NIDCR)
NIH/NIDCR Releases Oral Health in America: Advances and Challenges (NIDCR)
Note: Acting NIH Director Lawrence Tabak has asked the heads of NIH’s Institutes and Centers (ICs) to contribute occasional guest posts to the blog to highlight some of the interesting science that they support and conduct. This is the 11th in the series of NIH IC guest posts that will run until a new permanent NIH director is in place.
A Global Look at Cancer Genomes
Posted on by Dr. Francis Collins
Cancer is a disease of the genome. It can be driven by many different types of DNA misspellings and rearrangements, which can cause cells to grow uncontrollably. While the first oncogenes with the potential to cause cancer were discovered more than 35 years ago, it’s been a long slog to catalog the universe of these potential DNA contributors to malignancy, let alone explore how they might inform diagnosis and treatment. So, I’m thrilled that an international team has completed the most comprehensive study to date of the entire genomes—the complete sets of DNA—of 38 different types of cancer.
Among the team’s most important discoveries is that the vast majority of tumors—about 95 percent—contained at least one identifiable spelling change in their genomes that appeared to drive the cancer . That’s significantly higher than the level of “driver mutations” found in past studies that analyzed only a tumor’s exome, the small fraction of the genome that codes for proteins. Because many cancer drugs are designed to target specific proteins affected by driver mutations, the new findings indicate it may be worthwhile, perhaps even life-saving in many cases, to sequence the entire tumor genomes of a great many more people with cancer.
The latest findings, detailed in an impressive collection of 23 papers published in Nature and its affiliated journals, come from the international Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium. Also known as the Pan-Cancer Project for short, it builds on earlier efforts to characterize the genomes of many cancer types, including NIH’s The Cancer Genome Atlas (TCGA) and the International Cancer Genome Consortium (ICGC).
In these latest studies, a team including more than 1,300 researchers from around the world analyzed the complete genomes of more than 2,600 cancer samples. Those samples included tumors of the brain, skin, esophagus, liver, and more, along with matched healthy cells taken from the same individuals.
In each of the resulting new studies, teams of researchers dug deep into various aspects of the cancer DNA findings to make a series of important inferences and discoveries. Here are a few intriguing highlights:
• The average cancer genome was found to contain not just one driver mutation, but four or five.
• About 13 percent of those driver mutations were found in so-called non-coding DNA, portions of the genome that don’t code for proteins .
• The mutations arose within about 100 different molecular processes, as indicated by their unique patterns or “mutational signatures.” [3,4].
• Some of those signatures are associated with known cancer causes, including aberrant DNA repair and exposure to known carcinogens, such as tobacco smoke or UV light. Interestingly, many others are as-yet unexplained, suggesting there’s more to learn with potentially important implications for cancer prevention and drug development.
• A comprehensive analysis of 47 million genetic changes pieced together the chronology of cancer-causing mutations. This work revealed that many driver mutations occur years, if not decades, prior to a cancer’s diagnosis, a discovery with potentially important implications for early cancer detection .
The findings represent a big step toward cataloging all the major cancer-causing mutations with important implications for the future of precision cancer care. And yet, the fact that the drivers in 5 percent of cancers continue to remain mysterious (though they do have RNA abnormalities) comes as a reminder that there’s still a lot more work to do. The challenging next steps include connecting the cancer genome data to treatments and building meaningful predictors of patient outcomes.
To help in these endeavors, the Pan-Cancer Project has made all of its data and analytic tools available to the research community. As researchers at NIH and around the world continue to detail the diverse genetic drivers of cancer and the molecular processes that contribute to them, there is hope that these findings and others will ultimately vanquish, or at least rein in, this Emperor of All Maladies.
 Pan-Cancer analysis of whole genomes. ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium. Nature. 2020 Feb;578(7793):82-93.
 Analyses of non-coding somatic drivers in 2,658 cancer whole genomes. Rheinbay E et al; PCAWG Consortium. Nature. 2020 Feb;578(7793):102-111.
 The repertoire of mutational signatures in human cancer. Alexandrov LB et al; PCAWG Consortium. Nature. 2020 Feb;578(7793):94-101.
 Patterns of somatic structural variation in human cancer genomes. Li Y et al; PCAWG Consortium. Nature. 2020 Feb;578(7793):112-121.
 The evolutionary history of 2,658 cancers. Gerstung M, Jolly C, Leshchiner I, Dentro SC et al; PCAWG Consortium. Nature. 2020 Feb;578(7793):122-128.
The Genetics of Cancer (National Cancer Institute/NIH)
Precision Medicine in Cancer Treatment (NCI)
The Cancer Genome Atlas Program (NIH)
NCI and the Precision Medicine Initiative (NCI)
NIH Support: National Cancer Institute, National Human Genome Research Institute
Widening Gap in U.S. Life Expectancy
Posted on by Dr. Francis Collins
Americans are living longer than ever before, thanks in large part to NIH-supported research. But a new, heavily publicized study shows that recent gains in longevity aren’t being enjoyed equally in all corners of the United States. In fact, depending on where you live in this great country, life expectancy can vary more than 20 years—a surprisingly wide gap that has widened significantly in recent decades.
Researchers attribute this disturbing gap to a variety of social and economic influences, as well as differences in modifiable behavioral and lifestyle factors, such as obesity, inactivity, and tobacco use. The findings serve as a sobering reminder that, despite the considerable progress made possible by biomedical science, more research is needed to figure out better ways of addressing health disparities and improving life expectancy for all Americans.
In the new study published in JAMA Internal Medicine, a research team, partially funded by NIH, found that the average American baby born in 2014 can expect to live to about age 79 . That’s up from a national average of about 73 in 1980 and around 68 in 1950. However, babies born in 2014 in remote Oglala Lakota County, SD, home to the Pine Ridge Indian Reservation, can expect to live only about 66 years. That’s in stark contrast to a child born about 400 miles away in Summit County, CO, where life expectancy at birth now exceeds age 86.
Are E-cigarettes Leading More Kids to Smoke?
Posted on by Dr. Francis Collins
Today, thanks to decades of educational efforts about the serious health consequences of inhaled tobacco, fewer young people than ever smoke cigarettes in the United States. So, it’s interesting that a growing of number of middle and high school kids are using e-cigarettes—electronic devices that vaporize flavored liquid that generally contains nicotine.
E-cigarettes come with their own health risks, including lung inflammation, asthma, and respiratory infections. But their supporters argue that “vaping,” as it’s often called, might provide an option that would help young people steer clear of traditional cigarettes and the attendant future risks of lung cancer, emphysema, heart disease, and other serious health conditions. Now, a new NIH-funded study finds that this is—pardon the pun—mostly a pipe dream.
Analyzing the self-reported smoking behaviors of thousands of schoolkids nationwide, researchers found no evidence that the availability of e-cigarettes has served to accelerate the decline in youth smoking. In fact, the researchers concluded the opposite: the popularity of e-cigarettes has led more kids—not fewer—to get hooked on nicotine, which meets all criteria for being an addictive substance.
Largest Study Yet Shows Mother’s Smoking Changes Baby’s Epigenome
Posted on by Dr. Francis Collins
Despite years of public health campaigns warning of the dangers of smoking when pregnant, many women are unaware of the risk or find themselves unable to quit. As a result, far too many babies are still being exposed in the womb to toxins that enter their mothers’ bloodstreams when they inhale cigarette smoke. Among the many infant and child health problems that have been linked to maternal smoking are premature birth, low birth weight, asthma, reduced lung function, sudden infant death syndrome (SIDS), and cleft lip and/or palate.
Now, a large international study involving NIH-supported researchers provides a biological mechanism that may explain how exposure to cigarette toxins during fetal development can produce these health problems . That evidence centers on the impact of the toxins on the epigenome of the infant’s body tissues. The epigenome refers to chemical modifications of DNA (particularly methylation of cytosines), as well as proteins that bind to DNA and affect its function. The genome of an individual is the same in all cells of their body, but the epigenome determines whether genes are turned on or off in particular cells. The study found significant differences between the epigenetic patterns of babies born to women who smoked during pregnancy and those born to non-smokers, with many of the differences affecting genes known to play key roles in the development of the lungs, face, and nervous system.