Unlocking Health Insights: How Metabolomics & Lipidomics Are Transforming Medicine
Today, we have a super interesting but quite complex topic: we will discuss metabolomics and lipidomics through a special interview with Julijana Ivanisevic. This conversation is designed primarily for professionals and enthusiasts deeply engaged in the field, but as always, allow me to offer you a brief and straightforward introduction to these fascinating concepts.
Metabolomics and lipidomics are advanced scientific techniques that enable us to measure and analyze thousands of small molecules known as metabolites and lipids within our bodies. Metabolites can be seen as chemical messengers or building blocks, offering a snapshot of what's truly happening at the cellular level. Imagine the metabolome as a personal chemical fingerprint—it reflects our unique lifestyle choices, dietary habits, environmental exposures, and even genetic makeup.
Metabolomics broadly examines a wide variety of these small molecules, providing comprehensive insights into the metabolic activities and overall health status of an individual. Lipidomics, on the other hand, is a specialized branch within metabolomics focusing specifically on lipids such as cholesterol, triglycerides, and fatty acids. These lipids play crucial roles in cell structure, energy storage, and signaling processes, and changes in lipid profiles can significantly impact our health.
By using metabolomics and lipidomics, researchers and clinicians can better understand individual health conditions, detect early signs of diseases like diabetes, cardiovascular disorders, and metabolic syndrome, and develop more personalized approaches to treatment, nutrition, and lifestyle management.
Enjoy the interview!
What exactly is metabolomics, and how would you describe it to someone with no scientific background?
Metabolomics is a technological approach used to characterize and measure small molecules or metabolites, including lipids. A great example of metabolites routinely measured in clinics are glucose and cholesterol, markers of diabetes and dyslipidaemia, respectively. Far beyond glucose and cholesterol, today, with metabolomics, we can measure thousands of metabolites along with lipids, in a wide variety of biological samples, including all different biofluids (blood plasma, serum, whole blood, urine, cerebrospinal fluid, tears, saliva, sweat, seminal fluid, breast milk, etc.), tissue and cell extracts. Importantly, today, due to significant advancements in technology, metabolomics allows us not only to measure the highly abundant nutrients implicated in “energy flow” (energy production and storage) but also the low abundant messenger metabolites responsible for “information flow” through chemical signaling. The acquired comprehensive metabolic profiles reflect our chemical individuality (because of polymorphisms in our DNA sequence and lifestyle exposures unique to each individual).
Can you explain what metabolites are and why they are important for understanding the human body?
Metabolites are known as building blocks of structural components of cells (e.g., macromolecules, cell membranes), or fuels for cellular energetics (amino acids and other organic acids, sugars, lipids, energy currency metabolites, etc.). They are often qualified as downstream products of gene and protein activity, and therefore, the biomarkers of the functional status of an organism. Besides these well-known roles described in biochemistry books, recent findings have shed the light on metabolite activity showing that metabolites are likely “body’s most important signaling molecules” (David Wishart, Physiological reviews, 2019). Indeed, metabolites play the paramount role in the regulation of gene expression and protein activity, and modulate cell differentiation, growth, activation, proliferation and death. Thereby, they actively regulate and drive multiple biological processes including DNA repair, epigenetic modifications, autophagy, nutrient sensing, maintenance of mitochondrial function and microbiome balance, immune response and inflammation (https://www.nature.com/articles/s41580-019-0108-4, https://www.nature.com/articles/s41580-022-00572-w).
How does metabolomics help us understand what’s happening in the body at a cellular level?
Through the measurement of metabolite levels and/or tracing the fate of stable isotope-labelled substrates/nutrients (i.e., isotopic profiling), metabolomics provides us the readout of cellular activity. This readout helps us understand which pathways are more/less active in which cells and/or physiological conditions. The activity or utilization of specific pathways (glycolysis, oxidative phosphorylation, de novo lipid synthesis, lipolysis, fatty acid oxidation, etc.) provides the information about the cellular status and function.
What makes metabolomics different from studying genes (genomics) or proteins (proteomics)?
We often like to say that the information in genes is inherited, and the genotype describes the potential of the system or “what may happen”, the proteins “what makes it happen” while the metabolites tell us “what has indeed happened”, describing the current functional (physiological or developmental) status of the studied system. Therefore, metabolomics complements the information provided by genomics and proteomics by increasing the functional understanding of the studied system (a cell, an organ, or an organism). Importantly, our metabolome (e.g., circulatory metabolite levels) is not only genetically determined but also strongly influenced by different environmental stimuli such as our diet, physically active or sedentary lifestyle, drug therapy, pollutants, toxicants or climate we are exposed to, our internal microbiome, etc. These environmental stimuli include the social interactions we are involved in or exposed to.
Why is metabolomics often referred to as the "closest layer to the phenotype"? What does this mean in practical terms?
Metabolome can be defined as a phenotype at the molecular level or endophenotype. As such, the information stored in metabolite levels represents an intermediary phenotype which can be used to explain the biology behind the associations revealed between the genes (i.e., gene variants) and complex, endpoint clinical phenotypes (i.e., different cardiometabolic or neurodegenerative diseases, as well as different cancer types). Importantly, the so-called metabotype (in analogy to genotype) is genetically less complex (compared to clinical outcomes) but equally heritable.
How are metabolites measured? What kind of technologies or tools do you use in metabolomics research?
Metabolites can be measured using multiple technologies, approaches and methodologies. The most widely used technologies for ‘omics-scale metabolite measurement are mass spectrometry (MS) and nuclear magnetic resonance (NMR) spectroscopy. While NMR is endowed with high measurement reproducibility (essentially because there is of direct interaction between the sample and the instrument), it lacks the sensitivity. It is well suited for the analysis of “dirty” samples such as urine and plasma in the context of large-scale population studies. Mass spectrometry, either through direct injection analysis (DIA) or coupled to separation techniques such as gas or liquid chromatography (GC or LC), offers a significantly wider metabolome coverage, due to enhanced measurement sensitivity and specificity. We use mainly LC-MS which is recognized as the most versatile technology for metabolite measurement. With LC-MS, today, we can measure thousands of metabolites (including lipids) with more sensitivity and specificity than ever before.
What are some challenges in collecting and analyzing metabolites from biological samples like blood or urine?
Main challenges are related to sampling time and compliance, sample handling and storage. The plasma samples, for example, should be collected in the same physiological state, ideally, in a postabsorptive or fasting state, or alternatively, within the same time delay following a meal (i.e., postprandial state). This is important to avoid introducing bias due to diurnal variation in metabolite levels and the feeding regimen.
For sample handling and storage, one should pay attention to how long after sample collection samples can be stored. Ideally, the sample aliquots should be snap frozen and stored at –80°C as soon as possible to avoid the residual enzymatic activity and metabolite degradation (or other chemical modifications such as oxidation, for example). It is known that some metabolites are not stable and prone to spontaneous chemical oxidation, however, this has not been systematically evaluated for the entire set of polar and lipid metabolites. The accurate quantification of chemically unstable metabolites is challenging due to presence of artefacts, and thus, they are not good biomarker candidates. In addition, one should pay attention to the collection tubes, all the samples should be collected in the same tubes, coated with same anticoagulants, to avoid differences in matrix effects which can bias the measurement. Finally, the freeze-thaw cycles should be avoided because they can induce metabolite degradation and/or other chemical modifications, as highlighted above.
For clinical applications, the metabolite analysis should be performed using validated quantitative approaches, ideally with authentic internal standards. This was nicely demonstrated in the latest interlaboratory study to which we have also participated: https://www.nature.com/articles/s41467-024-52087-x.
Is metabolomics a snapshot of a person’s current health, or can it also reveal long-term patterns?
Metabolite levels can be readily altered as a response to short-term stimuli in the external (e.g., exposure to specific toxicants or drugs, cold stress, fasting) or internal environment (e.g., acute infection or inflammation, changes in microbiome, hypoxia while holding breath), but metabolites also get depleted or accumulated over longer periods of time, with aging and/or chronic exposure to specific lifestyle factors (e.g., dietary patterns such as the excessive calory supply via high fat or high sugar intake, sedentary lifestyle and related low-grade inflammation, pollutants). Therefore, metabolomic signatures can provide both the person’s current health status (nutritional status, metabolic imbalance such as diabetes or dyslipidemia, toxic exposure) but they can also reveal the long-term health patterns; this depends on the experimental design. To reveal the long-term trends, the longitudinal data, or repeated measurements over time, are necessary. Although, cross-sectional case-control studies can also be used to identify the individuals at risk. There are multiple metabolite markers, such as ceramides or branch chain amino acids, which have been identified as diabetogenic and atherogenic when they accumulate over longer periods of time or chronically. Changes in ceramide levels, for example, can be detected much earlier, before the manifestation of traditional clinical symptoms (i.e., high cholesterol). This is why metabolomics (along with lipidomics) represents a powerful phenotyping tool for personalized health monitoring.
What is lipidomics, and how does it fit within the broader field of metabolomics?
Lipidomics is a branch of metabolomics, which focuses on lipid analysis. Lipids are classified as small molecule metabolites, mainly < 1700 Da in molecular weight. As nicely specified on Lipid Maps website, lipids are “a broad group of naturally occurring molecules which includes fatty acids, waxes, eicosanoids, monoglycerides, diglycerides, triglycerides, phospholipids, sphingolipids, sterols, terpenes, prenols, fat-soluble vitamins (such as vitamins A, D, E and K) and others” (https://www.lipidmaps.org/resources/education/classification). While the principle of analysis is very similar to polar metabolites, we must apply more non-polar solvents for lipid extraction (compared to polar metabolites) and adjust the analytical conditions for lipid analysis (i.e., solvents, chromatographic gradients, etc.). The optimization of extraction and analysis conditions is a current practice in the analytical chemistry field, depending on the targeted class of metabolites.
Why are lipids (fats) so critical for understanding diseases like diabetes or cardiovascular conditions?
Ever since the Framingham Heart Study revealed the tight association between the circulatory cholesterol and the risk of heart disease, lipid measurement has become the mainstay of cardiometabolic risk assessment. Lipid metabolism, with respect to lipid functional roles in energy production and storage, membrane integrity and as messenger molecules in the inflammation process, immune response or insulin signaling, is obviously tightly associated with our cardiometabolic health. Therefore, depending on their biological roles, representatives of specific lipid classes can have a beneficial or deleterious effect on our cardiometabolic health. Importantly, this effect is not only lipid class, but lipid species dependent; and structurally closely related species, even stereoisomers, can have distinct biological roles and be associated with distinct metabolic consequences. Further mechanistic understanding of the roles that lipids play in the onset, development and progression of cardiometabolic diseases (such as obesity, diabetes and cardiovascular disorders) but also neurodegenerative diseases, and cancer, will be useful to improve the disease risk prediction, diagnostics, prognostics as well as the presumed therapeutic strategies.
What are ceramides, and why are they considered harmful in the context of cardiometabolic health?
Ten years ago, using a global sphingolipid profiling, specific species of ceramides were revealed to be strongly positively associated with the risk of cardiovascular death in coronary artery disease (CAD) patients (independently of traditional risk factors). The prognostic value using ratios of four distinct ceramides was found to be superior to the currently used standard LDL-C measurement. Following this discovery, a high-throughput analytical assay for ceramides was optimized, Coronary Event Risk Test 1 (CERT1) was established by Zora Biosciences and the results were cross-validated in several independent prospective CAD cohorts. Furthermore, the relative risk estimates were finely tuned for different risk categories in an independent large-scale population study. Distinct ceramide species were confirmed to be significantly associated with the incidence of major adverse cardiovascular events in apparently healthy individuals. In parallel, in 2016, Mayo clinic was licensed and introduced the CERT1 score to the clinical routine. However, and despite of the fact that ceramide scores have already been introduced to some private clinics, we still don’t know enough about the ceramide mode of action, and further intervention and fundamental studies are necessary to gather more data, and mechanistic insights, at least before ceramides become new cholesterol. What we do know is that ceramides mediate atherosclerosis via promotion of low-density lipoprotein (LDL) aggregation and their uptake into macrophages which drive foam cell formation and vascular inflammation. They are also implicated in endothelial dysfunction, by the enhancement of superoxide production and by reducing the bioavailability of nitric oxide. Finally, they were also found to promote insulin resistance, mitochondrial function impairment and cell “suicide” or apoptosis. Importantly, ceramides are present in human plasma at low micromolar levels and therefore, the sensitive MS-based technique is necessary for their quantification (compared to enzymatic assays used to measure cholesterol and other bulk components of plasma lipidome).
How does the body produce and regulate lipids, and what happens when this regulation goes wrong?
Lipid production (or synthesis), dietary intake, storage and utilization (or catabolism) are coordinated through a complex interplay of metabolic pathways (i.e., lipogenesis, lipolysis) and transport (via lipoproteins), involving primarily liver, adipose tissue and cardiovascular system (blood circulation). Master regulators of lipogenesis, lipolysis and lipid transport are hormones, enzymes, and complex feedback mechanisms. Lipid production or de novo lipogenesis occurs mainly in the liver and adipose tissue, where excess carbohydrates are converted into fatty acids. The key enzyme involved is fatty acid synthase (FAS), which catalyzes the synthesis of palmitate (C16:0) from acetyl-CoA and malonyl-CoA. Fatty acids (synthesized or taken from diet) must get further activated (by forming fatty acyl-CoA) for their assembly into triglycerides or esterification, by the attachment to the glycerol (specifically glycerol-3-phoshate) backbone (a product of glycolysis). In adipose tissue, triglycerides are stored as fat droplets and, in the liver, they are packed into very-low-density lipoproteins (VLDL) to enable their transport in the blood. The lipogenesis is promoted by insulin (after meals) and inhibited by glucagon and epinephrine which promote the breakdown of triglycerides during fasting or exercise. The key enzymes involved in lipid catabolism include the hormone-sensitive lipase (HSL) which catalyzes the breakdown of stored triglycerides in adipose tissue; and lipoprotein lipase (LPL) which hydrolyzes triglycerides in lipoproteins, thus facilitating the uptake of fatty acids by tissues.
To resume, lipid synthesis, storage and utilization (or catabolism) are regulated by hormones, essentially insulin, which promotes lipid synthesis and storage while glucagon and epinephrine stimulate lipolysis, the breakdown of triglycerides into free fatty acids and glycerol. Other hormones, such as cortisol and growth hormone, also influence lipid metabolism. Cortisol can either promote the breakdown of triglycerides or their storage, depending on the stress duration and intensity (i.e., cortisol levels). Another two hormones secreted by adipose tissue, adiponectin and leptin, play key roles in the regulation of lipid metabolism. Adiponectin or “fat-burning” hormone promotes breakdown of triglycerides and fatty acid oxidation (in liver and muscle). Leptin regulates satiety, food intake and promotes lipolysis (when the energy levels are sufficient). Beyond hormones and enzymes, feedback mechanisms are also employed to maintain lipid homeostasis. For example, high levels of circulatory fatty acids can inhibit further lipogenesis and stimulate oxidation.
The aim of lipid regulation is to ensure the steady supply of lipids for energy while simultaneously preventing excessive accumulation that could lead to specific cardiometabolic pathologies such as obesity, diabetes and cardiovascular disorders. Deregulated lipid metabolism over longer periods of time leads to obesity (excessive lipid storage or accumulation due to increased lipogenesis or decreased lipolysis), to dyslipidemia (abnormal levels of lipids in the blood, such as high triglycerides or low HDL cholesterol, resulting from genetic factors or poor diet/lifestyle), to atherosclerosis or the formation of plaques in blood vessels, increasing the risk of heart attacks and strokes. Excessive accumulation of fat in the liver can induce a Non-Alcoholic Fatty Liver Disease (NAFLD) often leading to inflammation, insulin resistance and metabolic syndrome. Chronic obesity and inflammation can lead to a metabolic syndrome, a cluster of conditions, including hypertension, high blood sugar, excess body fat around the waist, and abnormal cholesterol levels, which increases the risk of heart disease, stroke, and diabetes.
In the context of our research projects, we continue to decipher the molecular mechanisms underlying lipid (de)regulation and the presumed therapeutic strategies.
How can metabolomics help diagnose diseases earlier than traditional medical tests?
Metabolomics allows us to measure metabolites with more specificity and sensitivity than ever before. This means that with the latest mass spectrometry technology, we can detect subtle changes in early metabolite biomarkers (in blood or urine, for example), which are physiologically relevant and will allow us to diagnose the disease onset or early disease stages far before conventional diagnostic assays (which are much less sensitive and specific). For example, ceramides, powerful biomarkers of cardiometabolic risk, are present in the blood at concentrations thousands of times lower than cholesterol. Their accumulation in blood precedes the changes in cholesterol levels and have been proven to identify individuals at risk before cholesterol levels change and before clinical symptoms appear. This can boost the people’s awareness and induce earlier intervention (when changes are reversible and easier to operate) with lifestyle changes or drug treatment (like statins or ceramide-targeting therapies).
Can metabolomics be used to track the effectiveness of lifestyle changes or medical treatments in real-time?
Yes, metabolomic profiling is ideally situated as a powerful phenotyping tool for monitoring the health status, including the response to lifestyle changes or medical treatments. The set of identified/selected biomarker metabolites (e.g., amino acids, lipids, microbiome-derived metabolites) can be easily measured over time to track the changes in their levels which can inform us about the effectiveness of specific dietary regimen, physical activity, etc. Even more, the dose and duration of treatment can be adjusted as a function of individual’s response. This type of dynamic monitoring allows for the design of personalized interventions, based on patient's unique metabolic response.
What role does metabolomics play in understanding chronic diseases like obesity, diabetes, and heart disease?
The capacity to record the biochemical readout of cellular activity makes metabolomics a powerful tool for early diagnosis, disease progression tracking, and personalized treatment. Beyond the biomarker-based health and disease monitoring, this biochemical readout of metabolite levels also provides insights into coordinated changes in biochemical pathways (involving measured intermediates as substrates and products of specific chemical reactions) associated with the phenotype under investigation. The up- or down-regulation of specific pathways (deduced from changes in metabolite levels, stable-isotope enrichment assays or multi-omics data integration) can help us to elucidate the molecular mechanisms that underlie the disease onset and progression. This is how the ceramide metabolism, branched-chain amino acid metabolism, short-chain fatty acid metabolism, circulating lactate, ketone bodies, oxidized lipids, etc. were positively or negatively associated with specific metabolic processes and disease states. This metabolomics data-derived information helps us to understand the metabolic consequences (i.e., deleterious or beneficial effects) of specific metabolite(s) accumulation or depletion and associated pathway activity/utilization in different physiological conditions.
How does metabolomics help in identifying biomarkers for diseases? Could these biomarkers eventually guide personalized treatments?
As highlighted above, metabolomics allows for simultaneous measurement of a wide range of polar and lipid metabolites in biologically relevant samples such as urine, blood, other biofluids and tissue lysates (e.g., muscle or adipose tissue biopsies). As such, the acquired metabolic signatures capture the dynamic variations in metabolite levels which can be due to disease onset or environmental exposures, or both. The metabolites whose levels change significantly in response to an exposure (e.g., drug treatment) or confirmed disease (compared to apparently healthy control group) can be used as biomarkers, indicative of specific disease state or metabolic response to exposure. The correlation, and ideally, the causality, between the biomarker change and the outcome must be demonstrated with the appropriately designed and statistically powerful studies.
In brief, metabolomics provides a comprehensive and dynamic view on metabolic changes which can be associated with specific physiological states that precede the disease onset, facilitating the identification of biomarkers that can improve risk prediction, diagnostic accuracy and treatment. The observed metabolic changes are unique to each individual and thus, the metabolic signatures are ideally suited to support the design of tailored or personalized intervention strategies and prognosis. For example, metabolic signatures can be used to predict the response to treatment or stratify the population to responders or non-responders (to specific treatment), or fast or slow metabolizers (depending on the genetically determined enzymatic activity), etc. Specific metabolite deficiency or accumulation can inform us about individual’s metabolic needs and help to design the dietary regimens or recommend interventions through nutrition and/or physical activity. Metabolic profiling using metabolomics can also help to determine the most adequate or personalized drug dosage.
Does metabolomics provide insights into how people age differently? Could it help us slow down or reverse aging?
Along with sex and hormonal status, the age is considered as the main determinant of our circulatory metabolic profiles. The levels of multiple polar and lipid metabolites have been shown to either accumulate (e.g., ceramides, oxidized lipids, branched-chain amino acids, acylcarnitines) or get depleted (e.g., NAD+, taurine, spermidine) with aging. This is one of the reasons why it’s usually very challenging to disentangle the age effect from the disease effect. Studies on centenarians have demonstrated that they have unique circulatory signatures, often enriched in protective lipids (e.g., plasmalogens) and antioxidants. Metabolic signatures are highly individualized and can help us to deduce how different individuals might age differently based on their lifestyle choices, such as dietary regimen or physically active vs. sedentary lifestyle.
By identifying the metabolites with “protective” or deleterious effect, metabolomics can guide the design of interventions to promote healthy aging. These interventions comprise the specific dietary strategies (e.g., mediterranean diet, intermittent fasting or caloric restriction), supplementation with metabolites which decline with aging (and have been positively associated with cell renewal, autophagy, mitochondrial function, microbiome diversity, etc.), physical activity therapies, sleep optimization, etc.
Can lipid profiles reveal individual risks for diseases like heart attacks or strokes, and how can we act on this information?
Lipidomic profiles at the molecular species level are indicative of cardiovascular risk, and can predict, with high accuracy, the incidence of cardiovascular events. As described above, multiple lipid species, such as ceramides, specific phosphatidylcholines, triacylglycerols and pro-inflammatory oxidized phospholipids, have been identified as diabetogenic and atherogenic, i.e., strongly positively associated with insulin resistance, atherosclerosis and plaque instability, increasing heart attack and stroke risk. Importantly, these lipidomic signatures can predict the cardiometabolic risk in apparently healthy population, and the risk of cardiovascular events in coronary artery disease patients, with more sensitivity and accuracy compared to traditional lipid assays (based on bulk lipid measures). Finally, lipidomic data can be integrated with other clinical parameters (e.g., blood pressure, glucose levels, genetic factors) to further improve the risk assessment. This multi-faceted approach enhances further the accuracy of cardiovascular risk prediction.
Lifestyle changes, such as dietary strategies to increase the intake of unsaturated fats and lower the intake of processed foods (with high-sugar and saturated lipid content), regular physical activity and intermittent fasting, as well as medical interventions (e.g., statins, PCSK9 inhibitors) can help to reduce the established risk. Regular lipidomic assessments can help monitor the effectiveness of these interventions in reducing cardiovascular risk.
How do diet, exercise, and lifestyle choices influence metabolomic profiles, especially lipid levels?
Diet, exercise, and lifestyle choices significantly influence metabolomic along with lipidomic profiles, through various metabolic pathways and processes. For example, the type of consumed lipids (saturated vs. unsaturated) can alter circulatory lipid profiles. The diet rich in refined sugars can lead to accumulation of triacylglycerols. On contrary, certain vitamins (e.g., vitamin E) and phytochemicals (e.g., polyphenols from fruits and vegetables) have antioxidant properties that protect against lipid peroxidation. Regular exercise can also improve the lipid profiles by reducing the “bad” fat such as specific ceramides. For example, high-intensity interval training (HIIT) has been shown to effectively reduce triacylglycerols and increase HDL levels. Smoking was also proven to be associated with lower HDL levels and higher LDL levels, while moderate alcohol consumption may increase HDL levels. Stress hormones like cortisol can promote fat accumulation and alter lipid profiles. The interplay between diet, exercise, and other lifestyle choices strongly influences metabolomic profiles, particularly lipid levels. Personalized approaches considering these factors can help in managing and preventing metabolic disorders.
Could metabolomics eventually lead to "metabolic coaching," where individuals get tailored advice based on their unique metabolite profiles?
Metabolomics is a promising phenotyping tool for "metabolic coaching" where individuals receive tailored advice based on their unique gene and lifestyle determinants and therefore, unique metabolite profiles. Metabolomic and particularly lipidomic signatures are highly individualized, compared to transcriptomic and proteomic profiles. As specified above, by analyzing the individual’s metabolomic/lipidomic profiles, including the identified biomarkers (of specific disease states), nutritionists, sports and internal medicine physicians, and other healthcare providers will be able to tailor interventions that align with the individual's needs to improve metabolic health. The metabolomic profiles will help to design specific dietary regimens (e.g., low carbohydrate), and optimize training programs for weight loss, muscle gain, or overall health improvement. The integration of metabolomics with self-sampling and wearable devices will facilitate real-time monitoring of metabolic changes. This data can be used to adjust dietary, and exercise plans dynamically, providing ongoing support and motivation for individuals. Metabolic coaching could play a significant role in preventive health strategies, by identifying risk factors early, enhancing individual’s awareness and boosting patient’s adherence to amenable lifestyle changes before the onset of metabolic diseases. For metabolic coaching to become mainstream, the clinical utility based on the relationship between metabolite profiles and health outcomes, must be proven across multiple large-scale, longitudinal population studies, including individuals with different ethnic and clinical backgrounds. The integration of metabolomics into clinical practice is highly relevant and will lead to enhanced quality of life or healthy lifespan.
Two key messages can be extracted from this interview. First, the importance of metabolomics in tracking health, since they can be used to understand both the person’s current health status and their long-term health trajectory. The second key message is that metabolites are highly modifiable through diet, exercise, and lifestyle choices, emphasizing their dynamism. This malleability has significant implications for preventive health strategies, and it could eventually lead to the emergence of a new longevity field of application : metabolic coaching.
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This article reflects my personal views and is not intended to replace professional medical advice.
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