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Fundamental Knowledge of Microbes Shedding New Light on Human Health

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A laboratory researching the human microbiome
Caption: Human microbiome research requires teamwork. Kimberly Jefferson (second from left), a leader of the Multi-Omic Microbiome Study—Pregnancy Initiative, joins some of the team at Virginia Commonwealth University, Richmond. Credit: Courtesy of Kimberly Jefferson

Basic research in biology generates fundamental knowledge about the nature and behavior of living systems. It is generally impossible to predict exactly where this line of scientific inquiry might lead, but history shows that basic science almost always serves as the foundation for dramatic breakthroughs that advance human health. Indeed, many important medical advances can be traced back to basic research that, at least at the outset, had no clear link at all to human health.

One exciting example of NIH-supported basic research is the Human Microbiome Project (HMP), which began 12 years ago as a quest to use DNA sequencing to identify and characterize the diverse collection of microbes—including trillions of bacteria, fungi, and viruses—that live on and in the healthy human body.

The HMP researchers have subsequently been using those vast troves of fundamental data as a tool to explore how microbial communities interact with human cells to influence health and disease. Today, these explorers are reporting their latest findings in a landmark set of papers in the Nature family of journals. Among other things, these findings shed new light on the microbiome’s role in prediabetes, inflammatory bowel disease, and preterm birth. The studies are part of the Integrative Human Microbiome Project.

If you’d like to keep up on the microbiome and other basic research journeys, here’s a good way to do so. Consider signing up for basic research updates from the NIH Director’s Blog and NIH Research Matters. Here’s how to do it: Go to Email Updates, type in your email address, and enter. That’s it. If you’d like to see other update possibilities, including clinical and translational research, hit the “Finish” button to access Subscriber Preferences.

As for the recent microbiome findings, let’s start with the prediabetes study [1]. An estimated 1 in 3 American adults has prediabetes, detected by the presence of higher than normal fasting blood glucose levels. If uncontrolled and untreated, prediabetes can lead to the more-severe type 2 diabetes (T2D) and its many potentially serious side effects [2].

George Weinstock, The Jackson Laboratory for Genomic Medicine, Farmington, CT, Michael Snyder, Stanford University, Palo Alto, CA, and colleagues report that they have assembled a rich new data set covering the complex biology of prediabetes. That includes a comprehensive analysis of the human microbiome in prediabetes.

The data come from monitoring the health of 106 people with and without prediabetes for nearly four years. The researchers met with participants every three months, drawing blood, assessing the gut microbiome, and performing 51 laboratory tests. All this work generated millions of molecular and microbial measurements that provided a unique biological picture of prediabetes.

The picture showed specific interactions between cells and microbes that were different for people who are sensitive to insulin and those whose cells are resistant to it (as is true of many of those with prediabetes). The data also pointed to extensive changes in the microbiome during respiratory viral infections. Those changes showed clear differences in people with and without prediabetes. Some aspects of the immune response also appeared abnormal in people who were prediabetic.

As demonstrated in a landmark NIH study several years ago [2], people with prediabetes can do a lot to reduce their chances of developing T2D, such as exercising, eating healthy, and losing a modest amount of body weight. But this study offers some new leads to define the biological underpinnings of T2D in its earliest stages. These insights potentially point to high value targets for slowing or perhaps stopping the systemic changes that drive the transition from prediabetes to T2D.

The second study features the work of the Inflammatory Bowel Disease Multi’omics Data team. It’s led by Ramnik Xavier and Curtis Huttenhower, Broad Institute of MIT and Harvard, Cambridge, MA. [4]

Inflammatory bowel disease (IBD) is an umbrella term for chronic inflammations of the body’s digestive tract, such as Crohn’s disease and ulcerative colitis. These disorders are characterized by remissions and relapses, and the most severe flares can be life-threatening. Xavier, Huttenhower, and team followed 132 people with and without IBD for a year, collecting samples of their gut microbiomes every other week along with biopsies and blood samples for a total of nearly 3,000 samples.

By integrating DNA, RNA, protein, and metabolic analyses, they followed precisely which microbial species were present. They could also track which biochemical functions those microbes were capable of performing, and which functions they actually were performing over the course of the study.

These data now offer the most comprehensive view yet of functional imbalances associated with changes in the microbiome during IBD flares. These data also show how those imbalances may be altered when a person with IBD goes into remission. It’s also noteworthy that participants completed questionnaires on their diet. This dataset is the first to capture associations between diet and the gut microbiome in a relatively large group of people over time.

The evidence showed that the gut microbiomes of people with IBD were significantly less stable than the microbiomes of those without IBD. During IBD activity, the researchers observed increases in certain groups of microbes at the expense of others. Those changes in the microbiome also came with other telltale metabolic and biochemical disruptions along with shifts in the functioning of an individual’s immune system. The shifts, however, were not significantly associated with people taking medications or their social status.

By presenting this comprehensive, “multi-omic” view on the microbiome in IBD, the researchers were able to single out a variety of new host and microbial features that now warrant further study. For example, people with IBD had dramatically lower levels of an unclassified Subdoligranulum species of bacteria compared to people without the condition.

The third study features the work of The Vaginal Microbiome Consortium (VMC). The study represents a collaboration between Virginia Commonwealth University, Richmond, and Global Alliance to Prevent Prematurity and Stillbirth (GAPPS). The VMC study is led by Gregory Buck, Jennifer Fettweis, Jerome Strauss,and Kimberly Jefferson of Virginia Commonwealth and colleagues.

In this study, part of the Multi-Omic Microbiome Study: Pregnancy Initiative, the team followed up on previous research that suggested a potential link between the composition of the vaginal microbiome and the risk of preterm birth [5]. The team collected various samples from more than 1,500 pregnant women at multiple time points in their pregnancies. The researchers sequenced the complete microbiomes from the vaginal samples of 45 study participants, who gave birth prematurely and 90 case-matched controls who gave birth to full-term babies. Both cases and controls were primarily of African ancestry.

Those data reveal unique microbial signatures early in pregnancy in women who went on to experience a preterm birth. Specifically, women who delivered their babies earlier showed lower levels of Lactobacillus crispatus, a bacterium long associated with health in the female reproductive tract. Those women also had higher levels of several other microbes. The preterm birth-associated signatures also were associated with other inflammatory molecules.

The findings suggest a link between the vaginal microbiome and preterm birth, and raise the possibility that a microbiome test, conducted early in pregnancy, might help to predict a woman’s risk for preterm birth. Even more exciting, this might suggest a possible way to modify the vaginal microbiome to reduce the risk of prematurity in susceptible individuals.

Overall, these landmark HMP studies add to evidence that our microbial inhabitants have important implications for many aspects of our health. We are truly a “superorganism.” In terms of the implications for biomedicine, this is still just the beginning of what is sure to be a very exciting journey.

References:

[1] Longitudinal multi-omics of host-microbe dynamics in prediabetes. Zhou W, Sailani MR, Contrepois K, Sodergren E, Weinstock GM, Snyder M, et. al. Nature. 2019 May 29.

[2] National Diabetes Statistics Report, 2017, Center for Disease Control and Prevention (Atlanta, GA)

[3] Long-term effects of lifestyle intervention or metformin on diabetes development and microvascular complications over 15-year follow-up: the Diabetes Prevention Program Outcomes Study. Diabetes Prevention Program Research Group.Lancet Diabetes Endocrinol.2015 Nov;3(11):866-875.

[4] Multi-omics of the gut microbial ecosystem in inflammatory bowel disease. Lloyd-Price J, Arze C. Ananthakrishnan AN, Vlamakis H, Xavier RJ, Huttenhower C, et. al. Nature. 2019 May 29.

[5] The vaginal microbiome and preterm birth. Fettweis JM, Serrano MG, Brooks, JP, Jefferson KK, Strauss JF, Buck GA, et al. Nature Med. 2019 May 29.

Links:

Insulin Resistance & Prediabetes (National Institute of Diabetes and Digestive and Kidney Diseases/NIH)

Crohn’s Disease (NIDDK/NIH)

Ulcerative colitis (NIDDK/NIH)

Preterm Labor and Birth: Condition Information (Eunice Kennedy Shriver National Institute of Child Health and Human Development/NIH)

Global Alliance to Prevent Prematurity and Stillbirth (Seattle, WA)

NIH Integrative Human Microbiome Project

NIH Human Microbiome Project

NIH Support:

Prediabetes Study: Common Fund; National Institute of Dental and Craniofacial Research; National Institute of Diabetes and Digestive and Kidney Diseases; National Institute of Human Genome Research; National Center for Advancing Translational Sciences

Inflammatory Bowel Disease Study: Common Fund; National Institute of Diabetes and Digestive and Kidney Diseases; National Center for Advancing Translational Sciences; National Institute of Human Genome Research; National Institute of Dental and Craniofacial Research

Preterm Birth Study: Common Fund; National Institute of Allergy and Infectious Diseases; Eunice Kennedy Shriver National Institute of Child Health and Human Development


Does Gastric Bypass Reduce Cardiovascular Complications of Diabetes?

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Doctor with patient

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For obese people with diabetes, doctors have increasingly been offering gastric bypass surgery as a way to lose weight and control blood glucose levels. Short-term results are often impressive, but questions have remained about the long-term benefits of such operations. Now, a large, international study has some answers.

Soon after gastric bypass surgery, about 50 percent of folks not only lost weight but they also showed well-controlled blood glucose, cholesterol, and blood pressure. The good news is that five years later about half of those who originally showed those broad benefits of surgery maintained that healthy profile. The not-so-good news is that the other half, while they generally continued to sustain weight loss and better glucose control, began to show signs of increasing risk for cardiovascular complications.


Cardiometabolic Disease: Big Data Tackles a Big Health Problem

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Cardiometabolic risk lociMore and more studies are popping up that demonstrate the power of Big Data analyses to get at the underlying molecular pathology of some of our most common diseases. A great example, which may have flown a bit under the radar during the summer holidays, involves cardiometabolic disease. It’s an umbrella term for common vascular and metabolic conditions, including hypertension, impaired glucose and lipid metabolism, excess belly fat, and inflammation. All of these components of cardiometabolic disease can increase a person’s risk for a heart attack or stroke.

In the study, an international research team tapped into the power of genomic data to develop clearer pictures of the complex biocircuitry in seven types of vascular and metabolic tissue known to be affected by cardiometabolic disease: the liver, the heart’s aortic root, visceral abdominal fat, subcutaneous fat, internal mammary artery, skeletal muscle, and blood. The researchers found that while some circuits might regulate the level of gene expression in just one tissue, that’s often not the case. In fact, the researchers’ computational models show that such genetic circuitry can be organized into super networks that work together to influence how multiple tissues carry out fundamental life processes, such as metabolizing glucose or regulating lipid levels. When these networks are perturbed, perhaps by things like inherited variants that affect gene expression, or environmental influences such as a high-carb diet, sedentary lifestyle, the aging process, or infectious disease, the researchers’ modeling work suggests that multiple tissues can be affected, resulting in chronic, systemic disorders including cardiometabolic disease.


International “Big Data” Study Offers Fresh Insights into T2D

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World map

Caption: This international “Big Data” study involved hundreds of researchers in 22 countries (red).

It’s estimated that about 10 percent of the world’s population either has type 2 diabetes (T2D) or will develop the disease during their lives [1]. Type 2 diabetes (formerly called “adult-onset”) happens when the body doesn’t produce or use insulin properly, causing glucose levels to rise. While diet and exercise are critical contributory factors to this potentially devastating disease, genetic factors are also important. In fact, over the last decade alone, studies have turned up more than 80 genetic regions that contribute to T2D risk, with much more still to be discovered.

Now, a major international effort, which includes work from my own NIH intramural research laboratory, has published new data that accelerate understanding of how a person’s genetic background contributes to T2D risk. The new study, reported in Nature and unprecedented in its investigative scale and scope, pulled together the largest-ever inventory of DNA sequence changes involved in T2D, and compared their distribution in people from around the world [2]. This “Big Data” strategy has already yielded important new insights into the biology underlying the disease, some of which may yield novel approaches to diabetes treatment and prevention.


Precision Medicine: Using Genomic Data to Predict Drug Side Effects and Benefits

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Gene Variant and Corornary Heart DiseasePeople with type 2 diabetes are at increased risk for heart attacks, stroke, and other forms of cardiovascular disease, and at an earlier age than other people. Several years ago, the Food and Drug Administration (FDA) recommended that drug developers take special care to show that potential drugs to treat diabetes don’t adversely affect the cardiovascular system [1]. The challenge in implementing that laudable exhortation is that a drug’s long-term health risks may not become clear until thousands or even tens of thousands of people have received it over the course of many years, sometimes even decades.

Now, a large international study, partly funded by NIH, offers some good news: proof-of-principle that “Big Data” tools can help to identify a drug’s potential side effects much earlier in the drug development process [2]. The study, which analyzed vast troves of genomic and clinical data collected over many years from more than 50,000 people with and without diabetes, indicates that anti-diabetes therapies that lower glucose by targeting the product of a specific gene, called GLP1R, are unlikely to boost the risk of cardiovascular disease. In fact, the evidence suggests that such drugs might even offer some protection against heart disease.


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