Your Bacteria Change in 72H: The Hidden Inflammation Score

By the AEONUM team | Reviewed with scientific evidence

Research on the microbiome in hospitalized patients reveals that a single meal rich in saturated fats can increase circulating endotoxin levels up to three times within the following four hours. This finding completely challenges the traditional perception that changes in our gut health require weeks or months to manifest. The reality is that your microbial ecosystem responds to each dietary decision with a speed that rivals your blood glucose response, but with consequences that extend far beyond energy metabolism.

Your gut microbiota harbors approximately 100 trillion bacteria that collectively weigh between 1.5 and 2 kilograms — more than your brain. These bacteria are not simple passive guests; they function as an active endocrine organ that modulates your immune system, produces neurotransmitters, and determines whether each food you consume becomes usable energy or inflammatory signals that accelerate your biological aging.

Microbial chronobiology reveals that your bacteria operate under circadian rhythms that are independent but synchronized with your central clock. During the first 24 hours after consuming ultra-processed foods, populations of butyrate-producing bacteria like Faecalibacterium prausnitzii can reduce by up to 40%, while opportunistic species like Enterobacteriaceae proliferate exponentially. This change not only affects the production of anti-inflammatory short-chain fatty acids, but alters the permeability of your intestinal barrier, allowing the passage of bacterial lipopolysaccharides that your immune system identifies as threats.

The Silent 72-Hour Revolution

When Your Internal Ecosystem Transforms

The speed of microbial transformation challenges everything you thought you knew about biological change. While complete regeneration of your intestinal mucosa requires between 3 and 5 days, bacterial populations can double every 20 minutes under optimal conditions. This exponential replication capacity means that a single meal not only feeds existing bacteria, but can fundamentally alter the proportion of dominant species in your microbiome.

The process of accelerated bacterial colonization follows predictable but highly individualized patterns. During the first 8 hours post-ingestion, specific nutrients act as selective signals that favor the growth of certain strains over others. Simple carbohydrates preferentially feed Bacteroides, while animal proteins favor Bilophila wadsworthia, a bacterium associated with hydrogen sulfide production, a compound that in elevated concentrations can damage the intestinal mucosa.

The difference between transitory changes and permanent adaptations lies in the temporal consistency of exposure. An isolated episode of inflammatory food consumption can generate temporary endotoxin peaks that normalize in 24-48 hours. However, when these patterns repeat for three consecutive days, the mucosal immune system begins to develop local tolerance, reducing secretory IgA production and allowing potentially pathogenic bacteria to establish more permanent ecological niches.

Critical windows of microbial plasticity coincide with moments of greatest intestinal metabolic activity. Between 6:00 and 10:00 AM, your microbiota presents the greatest capacity to respond to dietary stimuli, correlating with the morning cortisol peak and activation of the hypothalamic-pituitary-adrenal axis. It is during these hours when AEONUM's daily check-in captures the most predictive data about how your previous day's food decisions have impacted your microbial balance.

The integration of this microbiological data with real-time tracking systems allows identification of patterns that would be invisible through conventional analysis. When you register your digestion, energy, and sleep quality in the AEONUM system, algorithms correlate these subjective indicators with objective changes in your microbiota score, creating a personalized map of how your internal ecosystem responds to different stimuli.

The Hidden Map of Your 500+ Food Decisions

Each day you make approximately 500 decisions related to eating, from what to have for breakfast to whether to add sugar to your coffee. Most of these decisions seem trivial, but each one sends specific signals to your microbiota that can be amplified or neutralized depending on temporal context and pre-existing bacterial composition.

Foods that function as bacterial "seeds" contain living microorganisms that can temporarily colonize your intestine. Traditional fermented foods like kefir, kombucha, and lacto-fermented vegetables introduce strains like Lactobacillus plantarum and Bifidobacterium longum that, although they don't establish permanently, modulate the activity of your resident microbiota during their intestinal transit. This modulation can last between 48 and 72 hours after consumption, enough time to influence the production of bioactive metabolites.

On the other hand, "fertilizer" foods don't contain living bacteria but provide the specific substrates that selectively feed certain microbial populations. Oligosaccharides from onions and garlic preferentially nourish Akkermansia muciniphila, a bacterium associated with intestinal barrier integrity and glucose metabolism regulation. Inulin from green bananas acts as specific fuel for butyrate-producing species, while cocoa polyphenols stimulate the growth of Bifidobacterium and Lactobacillus.

The paradox of superfoods that destroy microbial diversity illustrates how modern nutrition has lost the ecosystem perspective. Consuming large amounts of a single "superfood" can create bacterial monocultures that, while beneficial short-term, reduce the global diversity of the microbiome. The key lies in strategic rotation of prebiotic substrates to maintain a diverse and resilient ecosystem.

AEONUM's food database classifies more than 10,000 foods according to their specific microbial impact, considering not only their macro and micronutrient content, but their potential to modulate specific bacterial populations. This classification allows creating personalized nutritional protocols that optimize your microbiota score while maintaining the flexibility necessary for long-term adherence.

Why Your Doctor Doesn't See This Internal War

Conventional medicine operates with detection windows that are inadequate to capture microbial dynamics. Standard blood tests can identify systemic inflammation when it has already been established, but fail to detect early fluctuations in markers like IL-6, TNF-α, and C-reactive protein that precede clinical symptoms by weeks or even months.

The fundamental problem lies in that health systems are designed to diagnose disease, not to optimize health. A complete blood count may show values "within normal range" while your microbiota experiences significant dysbiosis that predisposes to insulin resistance, chronic low-grade inflammation, and deterioration of intestinal barrier function.

Inflammatory markers that change before symptoms include fecal calprotectin, which reflects local intestinal inflammation; serum zonulin, which indicates increased intestinal permeability; and short-chain fatty acids in stool, which reveal the fermentative capacity of your microbiota. These biomarkers can be significantly altered in response to dietary changes long before digestive or systemic symptoms appear.

The gap between reactive medicine and predictive medicine is gradually closing thanks to the integration of molecular biomarkers with predictive artificial intelligence. The microbiota score functions as a preventive biomarker that correlates bacterial diversity and functionality with the risk of developing chronic conditions like type 2 diabetes, cardiovascular disease, and neurodegenerative disorders.

The implementation of this score in AEONUM allows real-time monitoring of how your daily decisions impact your gut health, providing immediate feedback that can prevent progression toward pathological states. This predictive approach represents a fundamental shift from the paradigm of "treating disease" toward "optimizing health," as explored in detail in our analysis of how AI predicts health patterns better than traditional methods.

The Secret Score That Predicts Your Inflammation

Decoding Your Personal Bacterial Matrix

Your microbiome is as unique as your fingerprint, but unlike your fixed genetic characteristics, your bacterial composition can be strategically modulated to optimize your metabolic health and longevity. The individuality of the microbial landscape is determined by factors that include your antibiotic history, birth type, geography, host genetics, and decades of dietary exposures that have selected specific bacterial populations.

Different bacterial strains respond distinctly to specific macronutrients due to their particular enzymatic capabilities. Bacteroides species thrive with diets rich in complex carbohydrates and fiber, producing acetate and propionate as main metabolites. In contrast, Prevotella muciniphila prefers plant proteins and mucopolysaccharides, while Bifidobacterium species efficiently metabolize breast milk oligosaccharides and specific prebiotics like fructooligosaccharides.

The unique bacterial "signature" is established during the first years of life but maintains plasticity throughout existence. Factors like chronic stress, medication use, hormonal changes, and aging gradually modify this signature. However, targeted interventions can partially restore youthful microbial patterns, as demonstrated by research on fecal microbiota transplants in animal models of aging.

AEONUM's artificial intelligence algorithms interpret personalized patterns through multivariate analysis that considers not only the relative abundance of different bacterial taxa, but also their predicted functional capacity. The system correlates your microbial composition with your individual response to different foods, identifying which nutrient combinations optimize your personal microbiota score.

Foods That Activate Your Alarm System

The inflammatory response to specific foods follows predictable temporal patterns that can be stratified according to the level of immune activation. Level 1 foods generate minimal and transitory inflammatory responses, with IL-6 elevations that resolve in 2-4 hours. Level 2 foods produce moderate inflammation with TNF-α peaks that persist 6-8 hours. Level 3 foods trigger robust inflammatory responses with sustained C-reactive protein elevations that can extend 24-48 hours.

The timing of inflammatory marker appearance reveals the molecular cascade that initiates with problematic food intake. During the first 30 minutes, enteroendocrine cells release regulatory peptides like GLP-1 and GIP that modulate the initial metabolic response. Between 1-3 hours, bacterial lipopolysaccharides that cross the compromised intestinal barrier activate Toll-like 4 receptors in macrophages, initiating the inflammatory cascade.

The interaction between microbiota and innate immune system occurs mainly in Peyer's patches and isolated lymphoid follicles distributed along the small intestine. Dendritic cells continuously sample luminal content, presenting bacterial antigens to naive T lymphocytes that can differentiate toward proinflammatory Th1/Th17 or regulatory Treg phenotypes depending on the local microbial context.

Personalization based on body composition is crucial because body fat distribution, especially visceral fat, significantly modifies the inflammatory response to specific foods. Visceral adipose tissue functions as an endocrine organ that secretes proinflammatory adipokines like leptin, resistin, and TNF-α. AEONUM's AI body composition analysis capability allows adjusting nutritional recommendations considering how your specific body fat distribution amplifies or mitigates food-related inflammatory responses.

The Missing Metric in Your Health Dashboard

Traditional health indicators like body weight, body mass index, and body fat percentage provide a static photograph that doesn't capture the underlying metabolic dynamics. A person can maintain stable weight while experiencing chronic low-grade inflammation, progressive insulin resistance, and deterioration of mitochondrial function — processes that will eventually manifest as clinical disease but remain invisible to conventional metrics.

Weight and body fat don't tell the whole story because they completely ignore the metabolic quality of body tissue. It's possible to have a "normal" body fat percentage but a high proportion of metabolically active visceral fat. Conversely, overweight individuals but with diverse microbiota and optimal mitochondrial function may present superior health markers to thin but metabolically dysfunctional people.

The correlation between microbiota score and biological age emerges from the connection between bacterial diversity and multiple aging biomarkers. A diverse microbiota is associated with longer telomeres, less DNA methylation at sites associated with aging, and gene expression characteristic of youthful phenotypes. This connection is explored in depth in our analysis of how your biological age is determined by secret variables beyond your chronological age.

The predictability of chronic diseases via microbial analysis in some cases exceeds traditional risk factors. Prospective studies show that the presence of Akkermansia muciniphila is inversely associated with the development of type 2 diabetes, independent of initial BMI. The relative abundance of butyrate-producing species like Faecalibacterium prausnitzii better predicts the progression of inflammatory bowel disease than conventional serum inflammatory markers.

Integration with AEONUM's radar pentagon creates a holistic vision that connects your microbiota score with four other fundamental axes: body composition, cardiovascular fitness, functional strength, and metabolic health. This multidimensional approach reveals how improvements in one axis can catalyze positive changes in others, creating synergies that accelerate your progress toward optimal health.

Microbial Chronobiology: Your Bacteria Also Have a Clock

The 6 Windows Where Your Microbiota Changes Shifts

Microbial chronobiology reveals that your intestinal ecosystem operates under sophisticated circadian rhythms that are partially independent of your central clock but synchronize with it through neural, hormonal, and metabolic signals. These bacterial rhythms are not simply a passive response to your eating patterns, but reflect intrinsic genetic programs that optimize bacterial metabolism for different phases of the circadian cycle.

The first chronobiological window occurs between 5:00-7:00 AM, coinciding with cortical awakening and the morning cortisol peak. During these hours, species like Lactobacillus increase their metabolic activity in preparation for the first nutritional input of the day. This window represents the moment of maximum sensitivity to establish the microbial "tone" for the following 24 hours.

The second window extends from 8:00-11:00 AM, corresponding to the period of greatest digestive activity and nutrient absorption. Bacteroides species reach their peak enzymatic activity for complex carbohydrate digestion, while the production of secondary bile acids by Clostridium species facilitates lipid emulsification.

The third chronobiological window comprises 12:00-14:00 PM, when insulin sensitivity reaches one of its daily peaks. During this period, your microbiota shows the greatest efficiency in short-chain fatty acid production, especially butyrate, which enhances local insulin sensitivity in the colon and systemically.

The fourth and fifth windows occur during afternoon (15:00-17:00 PM) and early evening (18:00-20:00 PM), characterized by a transition toward more anabolic bacterial metabolism. The synthesis of B-complex vitamins by species like Bifidobacterium longum reaches its maximum during these hours, coinciding with increased requirements for evening neurotransmitter synthesis.

The sixth chronobiological window develops during 22:00-24:00 PM, when general microbial activity decreases but certain specialized processes like bacterial DNA repair and consolidation of protective biofilms reach their peak. This window is crucial for microbial resilience and preparation for the following circadian cycle.

Why Eating the Same Thing at Different Times Generates Different Scores

Circadian variability in bacterial metabolism means that identical nutrients can produce completely different metabolites depending on the moment of their consumption. This difference arises from rhythmic fluctuations in bacterial gene expression, which follows patterns of approximately 15-20% of microbial genes showing significant circadian oscillations.

During morning hours, consumption of complex carbohydrates favors the production of acetate and propionate, metabolites that promote hepatic gluconeogenesis and maintain glucose homeostasis during nocturnal fasting. The same food consumed in the afternoon generates predominantly butyrate, which optimizes insulin sensitivity and glucose uptake by peripheral tissues.

Optimal schedules for pro and anti-inflammatory foods reflect the natural rhythms of mucosal immune system activity. Foods rich in omega-3 like fatty fish exert more pronounced anti-inflammatory effects when consumed between 12:00-16:00 PM, coinciding with peak activity of enzymes like 15-lipoxygenase that converts EPA and DHA into resolvins and protectins.

The timing paradox demonstrates how the same food can generate opposite metabolic responses. Nocturnal consumption of simple carbohydrates can increase intestinal permeability and bacterial translocation due to circadian reduction in secretory IgA production. The same food consumed in the morning is efficiently metabolized without compromising barrier function.

BMR and TDEE periodization considering the microbial factor recognizes that your basal energy expenditure fluctuates not only due to host metabolic rhythms, but also due to the metabolic activity of your microbiota. Bacterial fermentation can contribute up to 10% of your total energy expenditure, with circadian variations that can reach 15-20% depending on the composition and activity of your microbial ecosystem.

Intermittent Fasting from the Bacterial Perspective

Intermittent fasting generates complex microbial adaptations that go beyond the host's metabolic effects. During the first 8-12 hours of fasting, bacteria gradually deplete available fermentable substrates and transition toward maintenance metabolism. This phase is characterized by reduction in short-chain fatty acid production and increase in the utilization of endogenous mucins as a carbon source.

The effects of fasting on microbial diversity and abundance follow biphasic patterns. Fasts of 12-16 hours promote microbial diversity by reducing the selective pressure exerted by specific nutrients, allowing less competitive species to maintain viable ecological niches. However, prolonged fasts of more than 18-20 hours can reduce diversity by favoring species specialized in endogenous substrate metabolism.

Bacterial "cleansing" windows occur approximately between 14-18 hours of fasting, when microbial metabolic activity reaches its lowest point and maintenance processes like DNA repair and elimination of damaged proteins are activated. This phase is analogous to autophagy in eukaryotic cells, but operating at the bacterial level.

Strategic "recolonization" during the refeeding window determines much of the benefits of intermittent fasting. The first foods consumed after fasting encounter a microbial ecosystem in a state of high receptivity, where small amounts of specific prebiotics can generate disproportionately large changes in bacterial composition.

Optimization of protocols according to individual microbiota score recognizes that not all individuals respond equally to intermittent fasting. People with diverse and resilient microbiota can benefit from longer fasting windows, while individuals with pre-existing dysbiosis may require more conservative protocols that preserve microbial ecosystem stability. This personalization is similar to what we discuss in our article about how autophagy protocols require synchronization with individual rhythms.

Macros Redefined: Protein, Fat and Carbohydrates from Your Microbiota

The Protein That Feeds Good (And Bad) Bacteria

Protein metabolism in the context of the gut microbiome reveals a complexity that transcends traditional requirement calculations based solely on host protein synthesis. Approximately 10-15% of dietary protein escapes digestion in the small intestine and reaches the colon, where it becomes substrate for bacterial fermentation. This protein fermentation generates end products that can be beneficial or harmful depending on predominant bacterial species and the presence of modulating cofactors.

The differential between animal and plant protein in the microbiome extends beyond the amino acid profile. Animal proteins, especially red meats, promote the growth of bacterial species like Bilophila wadsworthia that metabolize sulfur amino acids like cysteine and methionine, producing hydrogen sulfide. In elevated concentrations, this compound can damage the colonic mucosa and reduce butyrate production by beneficial species.

Plant proteins, conversely, are frequently associated with fibers, polyphenols, and other bioactive compounds that favorably modulate the microbiome. Protein from legumes like lentils and chickpeas comes "packaged" with oligosaccharides that function as prebiotics, promoting the growth of Bifidobacterium and Lactobacillus while providing amino acids for host protein synthesis.

Specific amino acids function as preferential fuel for different bacterial populations. Clostridium cluster IV species efficiently utilize leucine, isoleucine, and valine (branched-chain amino acids), producing acetate and butyrate as main metabolites. On the other hand, Bacteroides species prefer arginine and lysine, generating mainly acetate and propionate.

End products of protein fermentation include both beneficial and potentially toxic metabolites. Healthy fermentation produces short-chain fatty acids, especially butyrate, which nourishes colonocytes and maintains barrier function. However, pathological fermentation generates biogenic amines like histamine and tyramine, phenols like p-cresol, and indoles like skatole, compounds that can contribute to systemic inflammation and liver damage when they accumulate.

Calculation of protein requirements considering the microbial factor must include not only host needs but also the bacterial "tribute" and utilization efficiency modulated by microbial composition. A healthy microbiota can improve amino acid absorption by up to 15%, while dysbiosis can reduce protein bioavailability and increase dietary requirements.

Fats: The Fuel That Decides Your Intestinal War

Dietary lipids exert profound effects on the microbiome that extend far beyond their function as energy substrate. Different classes of fatty acids selectively modulate specific bacterial populations, alter bile acid production, and modify intestinal permeability in ways that can promote health or disease depending on the global context of diet and lifestyle.

The omega-3 versus omega-6 dichotomy from the perspective of bacterial strains reveals mechanisms of action complementary to the well-established systemic anti-inflammatory effects. Omega-3 fatty acids like EPA and DHA promote the growth of butyrate-producing species like Faecalibacterium prausnitzii and Eubacterium rectale, while simultaneously inhibiting the growth of lipopolysaccharide-producing Gram-negative bacteria like Escherichia coli.

Omega-6 fatty acids, particularly arachidonic acid, favor a proinflammatory microbiome characterized by greater abundance of Enterobacteriaceae and reduction in general diversity. However, this response is modulated by the presence of antioxidants and polyphenols that can neutralize the proinflammatory effects of omega-6 when consumed in the context of whole foods versus refined oils.

Short-chain fatty acids represent the common currency between microbiota and host, functioning as anti-inflammatory mediators that transcend the intestine. Butyrate, produced mainly by Faecalibacterium prausnitzii, Eubacterium rectale, and Roseburia species, not only nourishes colonocytes but acts as a histone deacetylase inhibitor, modulating gene expression toward anti-inflammatory phenotypes in systemic immune cells.

Propionate, generated by Bacteroides and Veillonella species, is absorbed and reaches the liver where it inhibits cholesterol synthesis and modulates gluconeogenesis. Acetate, the most abundant SCFA, serves as substrate for cholesterol and fatty acid synthesis in peripheral tissues, but also acts as a satiety signal through vagus nerve-mediated mechanisms.

Saturated fats present a microbial paradox that challenges simplistic nutritional dogmas. While long-chain saturated fats like palmitic acid can promote inflammation when consumed in excess, medium-chain saturated fats like lauric and capric acid exert selective antimicrobial effects against pathogens like Candida albicans while preserving beneficial bacteria.

Optimization of lipid profile for an optimal microbiota score requires considering not only the quantity but also the timing, source, and food context of different fatty acids. This holistic approach recognizes that the same fatty acid can have completely different effects depending on the individual's metabolic state and the composition of their microbial ecosystem.

Carbohydrates: The Architects of Your Internal Ecosystem

Carbohydrates function as the main architects of the microbial landscape, determining not only which bacterial species thrive but also their anatomical location and metabolic activity. This architectural influence extends from modulation of mucus production to alteration of gene expression in intestinal epithelial cells, creating specific ecological niches that favor different microbial communities.

The distinction between soluble and insoluble fiber reveals profound differential effects on specific bacterial strains. Soluble fiber, including pectins, beta-glucans, and gums, is rapidly fermented in the proximal colon by species like Bifidobacterium, Lactobacillus, and Faecalibacterium, producing mainly acetate and butyrate. This rapid fermentation can reduce colonic pH, creating an environment that inhibits the growth of alkalophilic pathogens.

Insoluble fiber, like cellulose and lignin, resists fermentation and transits toward the distal colon where specialized species like Bacteroides and Prevotella possess the necessary enzymes for its partial degradation. This slow and sustained fermentation maintains SCFA production in colonic segments where the availability of other substrates is limited.

Resistant starch emerges as a selective prebiotic with unique effects on microbial ecology. Unlike other carbohydrates, resistant starch evades digestion in the small intestine and arrives intact to the colon where it is fermented specifically by butyrate-producing species like Eubacterium rectale and Roseburia intestinalis. This selectivity allows directing nutritional interventions toward specific bacterial populations.

The "myth" of "bad" carbohydrates disintegrates when examined from the microbial context. Simple carbohydrates like fructose can be harmful when consumed in the form of high fructose corn syrup, but the same fructose present in whole fruits comes accompanied by fiber, polyphenols, and other compounds that modulate its absorption and bacterial metabolism. This food matrix determines whether fructose feeds pathogens like Escherichia coli or is beneficially metabolized by commensal species.

The timing of carbohydrates to maximize bacterial diversity takes advantage of circadian fluctuations in microbial fermentative capacity. Consumption of complex carbohydrates during hours of greatest bacterial activity (generally 12:00-16:00 PM) optimizes SCFA production and minimizes pathological fermentation. This strategic timing can be as important as the selection of specific types of carbohydrates.

Carbohydrate periodization based on individual microbiota score recognizes that requirements and tolerance to different types of carbohydrates vary enormously between individuals. People with high abundance of amylolytic species can efficiently metabolize complex carbohydrates, while individuals with predominance of proteolytic species may benefit from strategies that temporarily reduce carbohydrate load to rebalance their microbial ecosystem.

This macronutrient personalization represents a fundamental shift from universal nutritional recommendations toward individualized protocols that consider the unique biochemistry of each microbial ecosystem. The integration of these principles with continuous tracking allows dynamic adjustments that optimize both microbial health and systemic markers of health and longevity.

Experience this new era of personalized nutrition at aeonum.app, where your microbiota guides every nutritional decision toward optimization of your integral health.

Scientific References

David, L.A. et al. (2014). Diet rapidly and reproducibly alters the human gut microbiome. Nature, 505, 559-563.

Turnbaugh, P.J. et al. (2009). A core gut microbiome in obese and lean twins. Nature, 457, 480-484.

About This Article

Written by the AEONUM team. We review each piece of content against peer-reviewed studies to guarantee information based on real scientific evidence. Meet the team.

Frequently Asked Questions

Can my gut bacteria really change in just 72 hours? Yes, bacterial populations can be significantly modified in 72 hours due to their ability to double every 20 minutes under optimal conditions. However, these initial changes are mainly transitory. To establish permanent modifications in your microbiome you need to maintain consistent dietary patterns for at least 2-4 weeks. The fastest changes are observed in the relative abundance of existing species, while colonization of new species requires more time.

How can I know if my microbiota score is improving without laboratory tests? Indirect indicators include improvements in digestion, reduction in inflammation (less bloating, better exercise recovery), greater diversity in food cravings, and stability in energy levels. AEONUM's daily check-in system correlates these subjective markers with objective changes in your microbial score. You can also observe changes in stool consistency according to the Bristol scale (types 3-4 are optimal) and reduction in excessive intestinal gas.

Do probiotics in capsules really change my microbiota permanently? Most commercial probiotics act as "transit bacteria" that modulate your existing microbiota for 48-72 hours but don't establish permanently. For lasting colonization you need to create the right environment through specific prebiotics and sustained dietary changes. Traditional fermented foods like kefir and lacto-fermented vegetables are usually more effective than capsules because they provide strain diversity and cofactors necessary for bacterial survival.

Why do I feel more inflammation when I eat "healthy" according to general recommendations? General nutritional recommendations don't consider your individual microbial composition. A "healthy" food like cruciferous vegetables can cause inflammation if your microbiota lacks the necessary enzymes to metabolize their sulfur compounds. Similarly, excess fiber can feed opportunistic bacteria if your ecosystem is unbalanced. The key is personalizing your diet according to your specific microbiota score and introducing changes gradually to allow bacterial adaptation.

How does the microbiota score integrate with other health markers? The microbiota score correlates strongly with inflammatory markers (CRP, IL-6), insulin sensitivity, intestinal barrier function, and neurotransmitter production. In AEONUM, this score integrates with body composition, biological age, cardiovascular fitness, and functional strength in the radar pentagon. Improvements in your microbial score typically precede improvements in other markers by 2-4 weeks, making it an early predictive indicator of your general health trajectory.

Medical disclaimer: This article is informational and does not replace professional medical advice. Consult with a healthcare professional before making significant changes to your lifestyle or diet.

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