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From Basic Biomarkers to Metabolomics: Transforming Disease Diagnosis and Personalized Medicine

Unleashing the Power of Metabolomics: How Small Molecules Are Transforming Our Understanding of Health and Disease

The last time you visited your doctor for an annual physical, you probably also had blood drawn to measure several key biomarkers: glucose, cholesterol, triacylglycerides, creatinine, and urea. These small molecules, often taken for granted, offer vital snapshots of our current health and help guide decisions about lifestyle adjustments or medical interventions. But while these biomarkers are powerful, they barely scratch the surface of what’s possible when we dive deeper into the full spectrum of small molecules in our bodies—a field of study known as metabolomics. Metabolomics offers a way to simultaneously measure hundreds, even thousands, of these metabolites, providing a far more comprehensive view of health and disease.

In this blog post, we’ll explore the journey from centuries-old diagnostic methods—like tasting urine to detect sugar—to cutting-edge metabolomics technologies. We’ll delve into how metabolomics enables precise diagnoses for rare diseases, transforms patient care for the undiagnosed, and more. By the end, you’ll understand why metabolomics isn’t just a buzzword but a genuine revolution in medical science—and why it has become #mywhy for many researchers, clinicians, and patients.

A Brief History: From Urine-Tasting Doctors to Modern Metabolomics

The use of small molecules to evaluate health is not new. It’s one of the oldest diagnostic tools in medicine. Centuries ago, before sophisticated medical equipment existed, doctors would taste a patient’s urine to determine if it contained excess sugar—a rudimentary test for diabetes. Although this may sound archaic, it underscores a key concept: small molecules are potent indicators of bodily function (and dysfunction). Early physicians recognized that the presence or concentration of certain compounds in bodily fluids offered clues about what might be happening inside a patient.

Fast forward to modern times, and we see the same principle at work—albeit with more refined methods. When you get a routine blood test, labs measure glucose and cholesterol to assess diabetes risk and heart health. Creatinine and urea levels reveal information about kidney function. These tests are all forms of targeted metabolite measurements, focusing on individual molecules proven to hold diagnostic value. However, given that the human body contains thousands of metabolites at any given time, there remains a vast reserve of untapped information. Traditional testing methods capture only a fraction of these data points.

That’s where metabolomics enters the scene. Metabolomics is the systematic study of all small molecules (metabolites) in a biological system. Thanks to advancements in analytical chemistry, especially mass spectrometry (MS), we can now simultaneously measure hundreds to thousands of molecules. Instead of one or two data points, we get a “big picture” view that reveals metabolic imbalances, genetic influences, microbial interactions, and dietary or environmental impacts—all in a single snapshot.

Why Metabolomics Matters in Biomarker Discovery

At its core, metabolomics aims to quantify and profile the “metabolome,” which is the complete set of metabolites in a biological sample. This sample could be blood, urine, saliva, or tissue extracts. By analyzing these profiles, researchers can identify which metabolic pathways are operating normally or dysregulated. Because metabolism is central to virtually all physiological processes, subtle shifts in specific metabolites can signal early disease states or point to underlying anomalies.

Unlike genetics, which focuses on what could happen to us based on inherited traits, metabolomics shows what is happening in real-time. You may have a history of diabetes in your family, but you do not have diabetes. Genetics reveals “potential illness susceptibility,” while small molecules (aka metabolites or biomarkers) reveal if you are currently ill. This is not to say that understanding susceptibility isn’t essential in keeping us healthy. However, you will only start treatment if you are sick. Metabolomics acts to bridge the gap between genetic potential and actual illness expression.

Genes only provide information on our human “blueprint,” which doesn’t capture the complete picture of our health. If you walk into your home and the lights don’t turn on when you flip the switch, do you open the home’s blueprints? No, of course not. You walk around to the different rooms and check other light switches, and you look to see if your neighbors have lights on. You look around at “the now,” which includes all the other factors contributing to the lights not coming on in your house. Without a doubt, our genes influence our health, but our environment, our diet, the microbes present in our bodies, and so many other external factors also shape our health, none of which are captured by focusing on our genes alone. Metabolomics captures a broader spectrum of influences that affect our health and wellness, from the nutrients we absorb in our daily meals to toxins or pollutants we might encounter to how well the microbes in our gut are doing their job.

Metabolomics is Precision Medicine

Few experiences are more distressing for parents than having a child who is not thriving and where the medical field struggles to find answers. Traditional diagnostic pathways can be lengthy and frustrating, often leaving families in limbo for years. The average time to accurately diagnose a rare disease is six or more years1! Tragically, 30% of children with rare diseases die before the age of five. These two facts mean that many children die before their parents and doctors even know what is wrong, leaving no hope for any direct intervention.

This is a tough challenge for the medical field. There are over 7,000 rare diseases, many of which have similar symptoms. Children sometimes exhibit symptoms that don’t fit neatly into established diagnostic categories. With thousands of potential diseases, physicians often spend years attempting to match clinical signs with the proper test.

That’s why the power of metabolomics in rare and undiagnosed diseases is so transformative. Metabolomics fast-tracks this search by measuring the child’s metabolic landscape, flagging out-of-range metabolites that point directly to a specific disorder – one test triaging thousands of different diseases at once. Research shows that using metabolomics in a diagnostic workflow can increase the diagnosis rate up to six times in these challenging cases2. This means families and physicians can get definitive answers sooner, allowing them to initiate more informed and personalized treatment plans.

Perhaps the best way to appreciate the impact of metabolomics and its influence on personalized medicine is through real-life case studies. For these individuals, metabolomics isn’t an abstract concept; it is the turning point in their personal medical odyssey. Consider the case studies below.

Real-Life Case Studies: The Power of Precision Medicine through Metabolomics

A Child’s Diagnostic Odessey Finally Ended3
A child’s medical journey started when, at only 11 months old, they were hospitalized with pneumonia and sepsis. At that time, physicians noted that the baby was developmentally delayed and had unexplained muscle weakness and several other atypical symptoms. After four years of an exhaustive battery of genetic and biochemical tests with no diagnosis for the parents or doctors, metabolomics data was finally obtained.

As a result of the metabolomics analysis, the child was successfully diagnosed with AADC (aromatic amino acid decarboxylase deficiency) in under two weeks. Metabolomics data revealed metabolites in the AADC pathway were not at normal levels. These were known biomarkers of AADC; the child had simply never been tested. This highlights the advantage of a metabolomics screen that captures wide areas of biology associated with thousands of potential rare diseases. Finally armed with a diagnosis, the ailing child’s doctors could now investigate treatment plans specific to the disease.

Successful Diagnosis Leads to New Treatment Plans and Improvement in Disease Signatures4

In a similar case, metabolomics was run on the blood of an undiagnosed five-year-old child exhibiting poor growth, muscle weakness, and developmental delays. This five-year-old was suspected of having a mitochondrial disorder for which genetic testing was inconclusive. Within a couple of weeks of reviewing this child’s metabolic landscape, the child was successfully diagnosed with Mitochondrial Encephalomyopathy, Lactic Acidosis, and Stroke-like episodes (MELAS) syndrome. Metabolomics provided evidence of the disease and was also used to monitor the effectiveness of carnitine supplementation, a treatment for MELAS, in this individual. Metabolomics was also able to show this child’s successful response to the treatment, which dramatically shifted much of their metabolic profile toward normal levels.

Life-Altering Treatment Unlocked5

Perhaps my favorite case study is the story of a little girl named Marley who again was not thriving and whose doctors could not figure out what was wrong. Marley had muscle weakness, poor swallow reflexes, was developmentally delayed, and uniquely had no hair. In this case, after years of tests that failed to provide any insight, genetic testing was done, and a mutation in an enzyme in the polyamine metabolic pathway was identified as the likely culprit. This mutation had never been seen in humans and represented a new rare disease called Bachmann-Bupp syndrome (BABS). How did metabolomics help in this case? There was a drug developed in the 1970s that the FDA approved for the treatment of African Sleeping Sickness in 1990 (DFMO). This drug just happened to have been used to treat mice with the same mutation that Marley had. To get approval from the FDA to treat Marley on a compassionate use basis, the physicians needed to demonstrate that the drug effectively shifted Marley’s polyamine metabolism in a meaningful way. Metabolomics showed that the drug profoundly affected Marley’s polyamine pathway, quickly returning many of the small molecules in this pathway to normal levels.

Perhaps more critical is the impact this had on Marley. This little girl started growing hair, gaining muscle tone, and can now scoot herself around her house on her own. The identification of Marley’s disease, followed by the amazing presence of an already approved drug, albeit for a different indication, is the promise of getting to a diagnosis as quickly as possible. Since this discovery, more children have been diagnosed with this disorder globally. Stories like these remind us that one correct data point can rewrite the entire narrative of a child’s medical journey.

Children Are Not the Only Ones Who Go Undiagnosed – Some Individuals Go Decades6

While many rare diseases are first noted in childhood, many individuals live with mysterious symptoms, cycling through multiple specialists without arriving at a conclusive diagnosis. The Undiagnosed Disease Network (UDN) was formed to tackle this issue by bringing together experts and advanced technologies—metabolomics among them—to help these patients find answers. Metabolomics can unveil hidden disorders by highlighting metabolic abnormalities that might not appear in traditional tests. This collaborative network has already helped numerous patients pinpoint elusive diagnoses, changing the course of their medical journey.

In one such case, a 20-year-old man with an unknown neurodegenerative disease was analyzed using metabolomics and was determined to have a defect in his nicotinamide-N-methyltransferase (NNMT) enzyme. “To date, this is the only report of a critical defect in NNMT activity manifesting in adulthood and leading to neurodegenerative disease.”

Expanding the Scope: Broader Applications of Metabolomics in Precision Medicine

The above-mentioned case studies are just a tiny snapshot of the vast areas of biology we have contributed to over our 25 years of work. For decades, small molecules such as glucose, cholesterol, creatinine, and urea have formed the backbone of routine health assessments. But as powerful and essential as these biomarkers are, they represent just a minute fraction of the many metabolites circulating through our bloodstream, organs, and tissues.

Energy Metabolism
Beyond glucose, numerous other metabolites play a role in energy production and usage. For example, ketone bodies (like beta-hydroxybutyrate) can inform us about fat metabolism and whether the body is relying on ketones for energy. Amino acids can signal muscle breakdown or adequacy of protein intake. Detecting early imbalances can help clinicians intervene before a full-blown metabolic disorder emerges.

Inflammation and Immune Function
Small molecules associated with inflammation, such as certain fatty acids or cytokine-related metabolites, can provide red flags for conditions like autoimmune disorders or chronic inflammatory diseases. By looking at these metabolites in tandem, physicians can track the evolution of an inflammatory state much more precisely than with standard tests alone.

Nutritional Status
Vitamins and their byproducts are metabolites, too. A deficiency or excess leaves a metabolic “footprint” that can be detected. For instance, abnormal levels of methylmalonic acid can flag vitamin B12 deficiency even before clinical symptoms appear. Similarly, certain breakdown products of vitamin D can indicate whether someone is getting enough sunlight or dietary sources of this vital nutrient.

Gut Microbiome Interactions
Our gut microbiome produces myriad small molecules that interact with human metabolic pathways. Metabolomic analysis can reveal how gut microbes influence systemic health. Specific metabolites—like short-chain fatty acids—support immune regulation and might protect against diseases like inflammatory bowel disease or certain cancers.

By casting a much wider net, metabolomics offers a holistic view of health. Rather than zeroing in on a single problem, clinicians and researchers can gather intelligence from multiple metabolic domains—energy balance, immune function, diet, genetics, and microbial interactions—all at once.

My Personal Journey: Why Metabolomics Is #MyWhy

For me and many of my colleagues, metabolomics is more than just a scientific pursuit. It is a mission to make a tangible difference. When I began my career as a chemist, I dreamed of contributing to research that would help humanity. I envisioned designing advanced technologies that could reveal life-changing medical insights. I had no idea just how perfectly metabolomics would fit that vision.

I’ve seen metabolomics in action over the last 25 years at Metabolon and in the thousands of publications we’ve contributed to. I’ve watched metabolomics reveal answers to parents who knew their children’s health wasn’t right but had no idea where to turn. It paved the way for significant breakthroughs in diagnosing rare metabolic disorders—six times more diagnoses in certain pediatric settings than in traditional pathways alone. The relief on a mother’s face and the hope in a father’s eyes are the real-world impacts that remind me why I do what I do.

I’m also amazed at how much the field has grown and how we can now use simpler sample types like finger-stick blood to glean deep metabolic information. That kind of convenience democratizes metabolomics, making it more accessible to patients in sophisticated clinical settings and broader communities, including underserved regions.

Every day, I see new reasons to be inspired by this technology, but I have also seen what happens when laboratories practice fast and dirty metabolomics. Misidentifications of molecules, sacrificing biological insight for speed, and reliance upon generic and non-specific public databases have led to studies that can’t be reproduced. This is because the initial data was compromised by the methods and bioinformatics approaches used to analyze the data.

Over and over, in Metabolon’s hands, we have seen the reproduction of disease signatures. We run the same sample for years and consistently get the same diagnostic signatures. Rather than there being some fundamental flaw in metabolomics, I believe there are fundamental flaws in the methodology of other practitioners. As an expert in the field today, the number of articles I read with metabolomics data that have compounds reported that are incorrectly identified is staggering. I recently read a paper where a female contraceptive drug was found to be statistically significant in a study where it was also detected in many men. Unlikely. I have seen cases of the identification of toxic marine sea-sponge metabolites “detected” in every human plasma in a study not testing for the consumption of sea-sponges. I don’t think so. I have seen the reporting of many statistically significant plant compounds, meaning only present in plants, from human female vaginal swabs. Again unlikely. These are a few of the more ridiculous examples, but my point is this is a prevalent problem that should not be underestimated. Metabolomics will be judged on its ability to solve problems. Poor quality data with inaccurate identifications and flawed methodology will only serve to hold this transformative technology back.

Conclusion: Realizing Precision Medicine Through Metabolomics

In many ways, metabolomics is the missing puzzle piece in our move toward personalized or precision medicine. While genomics, transcriptomics, and proteomics are indispensable for understanding disease risk and mechanisms, they don’t necessarily reveal real-time physiological changes. In other words, they capture the “maybe in the future,” whereas metabolomics captures the “now.” Metabolomics provides the current status, the presence of active disease, the effectiveness of the medication being given, the effect of a poor population of microbes in your gut, and the “why the lights are not coming on when I flip the switch.” Metabolomics captures genetic and environmental influences, offering a snapshot of immediate and dynamic health status.

From the day doctors first tasted urine to detect sugar to the present era of high-powered mass spectrometry, one fact remains unwavering: small molecules hold enormous diagnostic and therapeutic value. Metabolomics doesn’t just offer an incremental improvement in assessing health; it represents a fundamental shift. Examining the entire landscape of small molecules in a single sample gives us a comprehensive perspective encompassing genetic, dietary, environmental, and microbial influences.

This holistic lens isn’t just a scientific novelty—it has real-world impact. Metabolomics is helping diagnose children with rare diseases where traditional tests fail, guiding life-saving treatments in innumerable diseases and accelerating breakthroughs in precision medicine. For me, the transformative insights driven by metabolomics are #mywhy—the driving passion that motivates me to push the boundaries of research and clinical practice.

The next time you have a routine blood test, imagine not just the half-dozen biomarkers you’re used to hearing about—glucose, cholesterol, creatinine, urea, and so forth—but an entire mosaic of metabolic information at your doctor’s fingertips. That is the promise of metabolomics, and it is a promise we are steadily making a reality here at Metabolon.

References

  1. https://everylifefoundation.org/delayed-diagnosis-study/
  2. https://www.researchgate.net/publication/353198987
  3. https://pubmed.ncbi.nlm.nih.gov/28823629/
  4. https://onlinelibrary.wiley.com/doi/10.1002/ajmg.a.63461
  5. https://innovationparkgr.msu.edu/news/2021-bachmann-bupp-syndrome.html
  6. https://www.researchgate.net/publication/369108713
Anne Evans, Ph.D.
Dr. Evans is the Head of Research and Development for metabolomics and lipidomics technologies at Metabolon, Inc., where she has worked for over 20 years. The metabolomics and lipidomics methodologies developed under Dr. Evans have been the analytical basis for thousands of commercial and academic studies from over 800 institutions worldwide since 2004.

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