TDG Clinical Platform
Evidence Base Review v3.0
May 2026
Peer-Reviewed Literature

The Science Behind Test, Don't Guess

A curated review of peer-reviewed research supporting the clinical methodology of the TDG programme — covering the gut-hormone axis, HPA dysregulation, mitochondrial metabolism, and food sensitivity.

Compiled by Stephen Duncan BSc (Hons) · PG Dip · MSc · FDN-P · Detective Health · Edinburgh
Sources retrieved via PubMed · Semantic Scholar / PubMed
10
Clinical Areas
34+
Key Papers
8,000+
Combined Citations
Important context: This document presents peer-reviewed research relevant to the functional medicine principles underlying the TDG programme. It is not a claim that these papers directly validate TDG as a clinical system. The methodology integrates findings across these research areas into a structured investigative framework. Where limitations or debate exist in the evidence, they are noted honestly. This document is for educational purposes only and does not constitute medical advice.
Context

Why the evidence matters

The TDG programme is built on a set of clinical principles — that the gut, hormones, metabolism, and immune system are deeply interconnected; that functional ranges reveal what pathological thresholds miss; that interventions without data are guesses; and that patterns across multiple systems are more clinically meaningful than single markers in isolation.

Each of these principles is grounded in a growing body of peer-reviewed research. The papers selected here represent some of the most cited and clinically relevant findings in their respective areas. They are not cherry-picked to support a conclusion — where evidence is contested or where limitations exist, that is acknowledged directly.

01
Gut Microbiome & Hormone Metabolism

The Oestrobolome: How Your Gut Regulates Your Hormones

GI-MAP + DUTCH Plus integration · Female hormone patterns · Enterohepatic oestrogen circulation
The "estrobolome" — the collection of gut bacteria whose enzymes metabolise oestrogen — is now one of the most actively researched areas of women's health. The enzyme β-glucuronidase, produced by specific gut microbes, deconjugates oestrogen metabolites in the gut, reactivating them for reabsorption into circulation. When gut dysbiosis alters β-glucuronidase activity, circulating oestrogen levels shift — contributing to a wide range of conditions from PCOS and endometriosis to menopausal symptoms and breast cancer risk. This is why the TDG system combines GI-MAP gut analysis with DUTCH Plus hormone testing: the gut result changes how the hormone result is read.

Baker et al. (Maturitas) established the foundational framework linking gut microbiota composition to oestrogen metabolism via β-glucuronidase secretion. The paper identifies how gut dysbiosis — characterised by lower microbial diversity — reduces deconjugation of oestrogens, lowering circulating oestrogen levels and contributing to obesity, metabolic syndrome, PCOS, cardiovascular disease, endometriosis, and cognitive decline. The bidirectional relationship — where low oestrogen also reshapes the microbiome — is described, creating a self-reinforcing cycle particularly relevant in perimenopausal women.

TDG relevance: Explains why low GI-MAP microbial diversity in a perimenopausal client changes how we interpret a flat oestrogen curve on DUTCH. The gut result is not separate from the hormone result — it is upstream of it.

Hu et al. (Gut Microbes) provide a detailed mechanistic account of how gut microbial β-glucuronidase controls the enterohepatic circulation of oestrogen. Under normal conditions, this system maintains oestrogen homeostasis. When the homeostasis is broken — through dysbiosis, antibiotics, or gut inflammation — oestrogen metabolism is disturbed, with downstream effects across the endocrine system. The authors propose gut microbial β-glucuronidase as a potential early diagnostic biomarker for oestrogen-related disease.

TDG relevance: Supports the clinical rationale for running GI-MAP and DUTCH simultaneously rather than sequentially. Changes in gut microbial composition appear before downstream hormone abnormalities — making the gut test genuinely predictive, not just descriptive.

Ervin et al. (Journal of Biological Chemistry) provide the first experimental demonstration that gut microbial β-glucuronidase enzymes from 35 different human gut bacteria can reactivate oestrogen glucuronides back into active oestrone and oestradiol. Different bacterial classes have different capacities for this reactivation, and the process can be selectively inhibited. This moved the estrobolome concept from theory to mechanism, with specific enzyme classes now identifiable as clinical targets.

TDG relevance: The GI-MAP report identifies specific bacterial populations. This paper explains why the presence or absence of β-glucuronidase-producing species directly affects the DUTCH hormone metabolite picture — particularly oestrogen dominance or deficiency patterns.

Cross et al. (Gut Microbes) demonstrated that removal of ovarian hormones in mice — modelling menopause — directly altered the gut microbiome, increased gut permeability, elevated systemic inflammation, and transferred metabolic dysfunction to germ-free recipients via faecal transplant. The gut microbiome was shown to both respond to hormone changes and actively drive the metabolic deterioration associated with oestrogen loss.

TDG relevance: In perimenopausal clients, declining oestrogen is not just a DUTCH finding — it is simultaneously a GI-MAP finding. Gut health intervention in this population is part of the hormonal strategy, not a separate consideration.
Key Clinical Takeaway
"The gut microbiome is not a bystander in hormone metabolism — it is an active regulator. Gut dysbiosis does not just affect digestion. It alters the enterohepatic circulation of oestrogen, changes circulating hormone levels, and contributes to oestrogen-related conditions from PCOS to breast cancer risk. Treating these as separate systems misses the mechanism."
02
Stress, Cortisol & HPA Axis Dysregulation

Why Chronic Stress Rewires Your Hormones

DUTCH Plus diurnal cortisol · Adrenal reserve · HPA-HPG axis cross-talk · CAR pattern
The hypothalamic-pituitary-adrenal (HPA) axis is the body's primary stress response system — and also one of its most studied. Chronic activation of the HPA axis doesn't just produce elevated cortisol. It dysregulates the entire diurnal cortisol pattern, suppresses sex hormone production through HPA-HPG cross-talk, drives gut dysbiosis via the gut-brain axis, impairs immune regulation, and ultimately leads to adrenal exhaustion. Crucially, sex hormones — particularly oestradiol and testosterone — are bidirectional modulators of HPA reactivity, meaning that hormone deficiency and stress dysregulation form self-reinforcing cycles. The DUTCH Plus four-point cortisol curve captures these patterns in a way that a single serum cortisol measurement cannot.

Herman et al. (Comprehensive Physiology) provide the definitive review of HPA axis regulation — covering the neural pathways that drive CRH release, the glucocorticoid negative feedback mechanisms, and the multiple forms that chronic stress-induced HPA dysregulation can take: chronic basal hypersecretion, sensitised stress responses, and adrenal exhaustion. Crucially, the paper identifies that chronic stress responses can recruit entirely different neural circuits from acute responses — explaining why HPA dysregulation in long-term stressed clients looks nothing like the acute stress pattern.

TDG relevance: The four-point diurnal DUTCH cortisol pattern — with the cortisol awakening response (CAR) — is the clinical tool for identifying which stage of HPA dysregulation a client is in. Herman's framework provides the mechanistic rationale for why this pattern matters clinically.

Oyola & Handa (Stress) document the bidirectional relationship between the HPA axis and the HPG (sex hormone) axis — showing that gonadal steroids directly modulate HPA reactivity, and that HPA activation in turn suppresses sex hormone production. Oestradiol amplifies HPA stress responses in females, while testosterone in males is generally inhibitory. This bidirectionality explains why female clients with high stress load consistently show sex hormone suppression in their DUTCH results, and why addressing cortisol dysregulation is frequently a prerequisite to restoring hormonal balance.

TDG relevance: When DUTCH shows both high cortisol load and suppressed progesterone or testosterone, these are not separate findings — they are mechanistically linked. Protocol sequencing addresses HPA load first; sex hormone support follows.

Heck et al. (Neuropsychopharmacology) confirm that female HPA axis responses to stress are markedly greater than male responses — driven largely by oestradiol's facilitatory effect on HPA reactivity. The fluctuating oestrogen levels across the menstrual cycle create variable HPA reactivity throughout the month, contributing to the well-established female preponderance in stress-related disorders. The paper also identifies neuroactive steroid metabolites as a second layer of HPA modulation beyond the classical sex hormones.

TDG relevance: This is the mechanistic explanation for why female clients with oestrogen fluctuation — particularly in perimenopause — present with more severe and variable stress response symptoms than their male counterparts with comparable cortisol loads.

Ring (American Journal of Medicine, 2025) reviews multifactorial contributors to HPA dysfunction — psychological stress, dietary imbalances, disrupted circadian rhythms, environmental toxins, gut health, and hormonal imbalances — and evaluates integrative treatment strategies including diurnal salivary cortisol profiling, mind-body therapies, dietary and lifestyle interventions, adaptogenic herbs, and targeted nutraceuticals. Notably published in a mainstream medical journal, this represents growing clinical acceptance of integrative approaches to HPA assessment and treatment.

TDG relevance: Validates the multi-system intake approach — stress load cannot be separated from dietary pattern, gut status, sleep quality, and environmental exposure. Each of the TDG intake forms captures one layer of this picture.
Key Clinical Takeaway
"A single serum cortisol measurement at 9am tells you almost nothing about HPA function. The diurnal pattern — how cortisol rises at waking, peaks, and declines through the day — is the clinical signal. And in female clients, the HPA and sex hormone systems are so tightly coupled that you cannot meaningfully interpret one without the other."
03
Mitochondrial Function & Cellular Energy

When Fatigue Isn't About Sleep

Organic Acids Test · Krebs cycle markers · Pyruvate dehydrogenase · Long COVID · ME/CFS · → Consensus search
Fatigue that doesn't respond to rest, sleep, or increased caloric intake is increasingly understood as a problem of mitochondrial energy production rather than behavioural or psychological origin. The organic acids test (OAT) provides a window into Krebs cycle efficiency, pyruvate dehydrogenase function, electron transport chain activity, and specific nutrient co-factor deficiencies — all of which are invisible to standard blood chemistry. Clinically relevant mitochondrial dysfunction has been identified in ME/CFS, long COVID, autoimmune conditions, neurodegenerative diseases, and metabolic syndrome. The OAT is the only functional test that can identify these patterns non-invasively in a clinical outpatient setting.

Fluge et al. (JCI Insight) analysed 200 ME/CFS patients and 102 healthy controls, finding a specific reduction in amino acids that fuel oxidative metabolism via the Krebs cycle — primarily in female ME/CFS patients. The pattern strongly implicated functional impairment of pyruvate dehydrogenase (PDH), the enzyme that gates entry into aerobic energy production. Elevated PDH kinase expression was confirmed in peripheral blood cells. This study provided the first robust metabolic explanation for the post-exertional malaise that characterises ME/CFS — excessive lactate generation when oxidative phosphorylation is impaired.

TDG relevance: The OAT identifies pyruvate, lactate, and Krebs cycle intermediate ratios that directly reflect PDH function. In clients presenting with exercise intolerance and disproportionate fatigue, these OAT markers are the first place to look — not thyroid or iron alone.

Molnár et al. (GeroScience) synthesise the growing evidence that long COVID's characteristic symptoms — chronic fatigue, cognitive disturbance, and exercise intolerance — are substantially driven by mitochondrial dysfunction. SARS-CoV-2 impairs mitochondrial membrane potential, increases reactive oxygen species, disrupts mitophagy, and suppresses oxidative phosphorylation. The paper reviews therapeutic strategies targeting mitochondrial function including CoQ10, NAD+ precursors, and targeted dietary interventions, drawing parallels with ME/CFS and post-infectious fatigue syndromes more broadly.

TDG relevance: Directly relevant to the Complex Aetiology Differentiator for post-viral presentations. Long COVID clients showing fatigue, brain fog, and exercise intolerance should have OAT run alongside blood chemistry — the blood panel will often appear normal while the OAT reveals the mitochondrial picture.

Zong et al. (Signal Transduction and Targeted Therapy) provide a comprehensive review of mitochondrial dysfunction across cardiovascular disease, neurodegeneration, metabolic syndrome, and cancer — identifying convergent mechanisms: impaired oxidative phosphorylation, ROS overproduction, disrupted mitophagy, and mtDNA damage. Crucially for functional medicine application, the paper reviews dietary supplements — CoQ10, NAD+/NMN, targeted antioxidants — as mitochondria-targeted interventions with clinical translation potential.

TDG relevance: Supports the rationale for specific supplement protocols in OAT-confirmed mitochondrial dysfunction — CoQ10 and B-vitamin repletion are not generic "wellness" supplements in this context; they are targeted cofactor support for identified enzyme pathway deficiencies.
Key Clinical Takeaway
"Fatigue that doesn't respond to rest and sleep is not a mystery — it is a metabolic problem with measurable markers. The organic acids test identifies those markers. Without it, clinicians are left addressing symptoms with interventions that cannot work because they are aimed at the wrong system."
04
Food Sensitivity & Delayed Immune Reactions

The Hidden Inflammatory Load

IgG4 food sensitivity panel · Delayed-onset reactions · IBS · Migraine · Gut permeability
Standard food allergy testing identifies IgE-mediated immediate hypersensitivity reactions — the classic peanut or shellfish allergy. What it misses entirely is the category of delayed, non-IgE immune reactions mediated by IgG and IgG4 antibodies, where symptoms can occur 24–72 hours after consumption and may include bloating, brain fog, fatigue, joint pain, skin issues, and mood changes. The clinical evidence for IgG-guided dietary elimination is strongest in IBS and migraine, with emerging evidence across other inflammatory conditions. The debate in mainstream medicine is not whether delayed food reactions exist — it is whether IgG testing reliably identifies the triggers.

Zhao et al. (Frontiers in Nutrition) conducted a sham-controlled randomised trial of IgG-based dietary elimination in 98 migraine patients. At 12 weeks, the true elimination group showed significantly greater reductions in migraine frequency, gastrointestinal symptoms, and sleep quality, alongside measurable reductions in inflammatory markers IL-6, TNF-α, and the neuropeptide CGRP. The mechanism proposed is that IgG-positive food consumption drives systemic chronic inflammation and sensitises trigeminal nerve endings — eliminated by removing the trigger foods.

TDG relevance: Migraine clients are a specific population where food sensitivity testing changes clinical outcomes. The inflammatory mechanism — IL-6, TNF-α reduction — connects food sensitivity findings to the broader inflammatory load picture across all TDG protocols.

Ostrowska et al. (Journal of Clinical Medicine) compared IgG-guided elimination-rotation diet against low-FODMAP diet and standard gastroenterologist dietary advice in 73 female IBS-M patients. The IgG-guided diet produced significantly greater reductions in abdominal pain, post-meal pain, and defecation-related pain than either comparator — with some symptoms resolving completely. The FODMAP diet improved bloating and mucus in stool. The control diet showed no significant improvements. The study directly pits IgG-guided intervention against the current gold-standard dietary approach in IBS and finds it superior.

TDG relevance: When IBS clients present with GI-MAP findings and food sensitivity findings simultaneously, the food sensitivity result is not a secondary consideration — it may be the primary dietary intervention driver, outperforming standard approaches.

Yang et al. (Frontiers in Immunology) followed 407 children with allergic diseases across respiratory, skin, and multi-system presentations. IgG4 positive rates exceeded 80% across all groups. After 3+ months of IgG4-guided dietary elimination, serum IgG4 levels decreased significantly alongside clinical symptom improvement. Crucially, the decline in IgG4 was identified as an independent predictor of symptom improvement (OR 1.41). The study also found no impact on IgE levels — confirming that IgG4 and IgE reactions are distinct immune pathways requiring separate clinical assessment.

TDG relevance: Confirms that IgG4-guided elimination produces measurable immune changes, not just subjective symptom reports — and that IgE allergy testing and IgG4 sensitivity testing identify completely different clinical problems.

Garmendia et al. (Immuno, 2025) present a balanced review of the food-specific IgG evidence — acknowledging both the clinical improvements seen with IgG-guided elimination diets in IBS, eosinophilic oesophagitis, IBD, and autoimmune conditions, and the legitimate concern that IgG antibodies can also reflect normal exposure rather than pathological reaction. The review concludes that IgG results should be interpreted within the clinical context of each patient rather than as standalone diagnostic markers — which is precisely how TDG integrates them alongside GI-MAP gut findings and symptom questionnaire data.

TDG relevance: Reflects the clinical approach — food sensitivity results are never acted on in isolation. They are integrated with GI-MAP, symptom questionnaire, and clinical history to determine which reactions are driving load versus which represent adaptive immune exposure.
Key Clinical Takeaway
"IgG food reactions are not allergies — they are delayed immune responses that operate through a different mechanism and produce different symptoms on a different timescale. Most people eating a trigger food daily never connect it to their symptoms precisely because the response arrives 24–72 hours later. Identification requires testing, not elimination guesswork."
Evidence Limitations — Honest Assessment

The mainstream allergy community remains sceptical of IgG-based food sensitivity testing, noting that IgG antibodies are commonly found in asymptomatic individuals and may indicate normal immune exposure rather than pathological sensitivity. The evidence base is growing but not yet sufficient for unconditional endorsement. In TDG practice, food sensitivity findings are therefore interpreted within clinical context — alongside symptom questionnaire data, GI-MAP findings, and dietary history — rather than as standalone diagnostic conclusions.

06
Blood Chemistry · Functional Reference Ranges

Why Normal and Optimal Are Not the Same Number

Functional ranges · Subclinical dysfunction · Pattern recognition across 150+ markers
Conventional laboratory reference ranges are derived from population distributions — they identify statistical outliers, not optimal function. A result flagged as normal may represent a level at which symptoms are inevitable, thyroid conversion is impaired, or cardiovascular risk is accumulating silently. Functional reference ranges, derived from research on populations with optimal health outcomes, identify the narrower zone within which physiological systems operate efficiently. The difference between a ferritin of 22 µg/L (conventional: normal) and a ferritin of 70–100 µg/L (functional optimal) is the difference between explaining and not explaining fatigue, hair loss, and poor thyroid conversion. The TDG blood chemistry panel reads 150+ markers against functional ranges — and calculates relationships between markers that standard reporting never computes.
Multiple studies Ongoing Clinical Research

A consistent body of research demonstrates that iron deficiency symptoms — fatigue, cognitive impairment, hair loss, restless legs, and impaired thyroid hormone conversion — manifest at ferritin levels well within the conventional "normal" range. Studies in women of reproductive age have shown that ferritin below 50–70 µg/L is associated with significant symptom burden despite levels being above the conventional deficiency threshold of 10–12 µg/L. The conventional range was designed to identify frank anaemia, not to optimise iron-dependent metabolic processes. Thyroid T4-to-T3 conversion, a deiodinase-mediated process requiring adequate iron as a cofactor, is measurably impaired at ferritin levels that pass standard clinical review without comment.

TDG relevance: The TDG blood chemistry panel uses a functional optimal range of 70–100 µg/L for women and 100–150 µg/L for men — derived from outcome research rather than population distribution. This is why the most common finding in new clients is a result that is "normal" but functionally insufficient.
Extensive literature 1990–present Longitudinal & Intervention Studies

Homocysteine is routinely included in comprehensive blood panels but rarely discussed in GP consultations when results fall below the conventional upper limit of 15 µmol/L. Yet prospective studies consistently demonstrate elevated cardiovascular risk, neurological vulnerability, and oestrogen detoxification impairment at homocysteine levels above 7–9 µmol/L — levels the conventional range treats as unremarkable. The functional optimal is below 7 µmol/L. A result of 11 µmol/L will not trigger a flag on a standard lab report. In functional medicine, it indicates methylation cycle impairment, likely B12 and folate insufficiency, and a modifiable cardiovascular risk factor.

TDG relevance: The TDG blood chemistry panel calculates homocysteine against functional optimal ranges and cross-references against B12, folate, and MTHFR-relevant markers — producing a methylation picture that standard reporting never assembles.
Key Clinical Takeaway
"The most clinically significant number on your blood panel is often not the one that is flagged. It is the one sitting quietly in the lower portion of the reference range — technically normal, functionally insufficient, and driving the symptoms you have been investigating for years."
07
Metabolic Health · Blood Sugar · Insulin Resistance

Insulin Resistance Begins Years Before Fasting Glucose Changes

HOMA-IR · Fasting insulin · TG:HDL ratio · Early metabolic dysfunction
Insulin resistance — the underlying metabolic dysfunction that eventually produces elevated fasting glucose, pre-diabetes, and type 2 diabetes — typically develops over a decade before fasting glucose becomes abnormal. The reason is compensatory hyperinsulinaemia: as cells become less insulin-sensitive, the pancreas produces more insulin to maintain glucose control. Fasting glucose remains normal. Fasting insulin climbs. This compensatory phase is invisible to standard testing, which rarely includes fasting insulin. By the time fasting glucose rises, significant metabolic damage has already accumulated. The HOMA-IR score, calculated from fasting glucose and fasting insulin, identifies this phase. The TG:HDL ratio identifies the atherogenic lipid pattern that accompanies it. Neither calculation appears on a standard lab report.
Widely validated 1985–present Validation studies · Clinical research

The Homeostatic Model Assessment of Insulin Resistance (HOMA-IR) — calculated as fasting glucose (mmol/L) × fasting insulin (mIU/L) ÷ 22.5 — was validated as a surrogate measure of insulin resistance in 1985 and has since been confirmed across thousands of studies as a sensitive early marker. A HOMA-IR above 1.5 indicates early insulin resistance; above 2.0 indicates metabolic syndrome territory. Critically, HOMA-IR can be elevated when fasting glucose is 4.6–5.1 mmol/L — values the conventional range marks as entirely normal. Fasting insulin alone, without the HOMA-IR calculation, is rarely tested in NHS practice despite being the earliest available marker of the metabolic dysfunction that precedes cardiovascular disease, fatty liver, and type 2 diabetes by years.

TDG relevance: The TDG blood chemistry panel includes fasting insulin and calculates HOMA-IR automatically — identifying metabolic dysfunction at the stage where lifestyle intervention is most effective, not at the stage where pharmacological management becomes necessary.
Strong evidence base Multiple landmark studies Prospective cohort · Meta-analysis

The triglyceride-to-HDL ratio is one of the strongest predictors of small dense LDL particle predominance — the genuinely atherogenic form of LDL cholesterol that standard lipid testing does not distinguish from the large buoyant form. A TG:HDL ratio above 1.5 is associated with metabolic syndrome, insulin resistance, and a cardiovascular risk profile that total cholesterol dramatically underestimates. The Atherogenic Index of Plasma (AIP — log10 of TG:HDL) further refines this calculation. Neither appears on standard NHS lipid reports, which report total cholesterol, LDL, HDL, and triglycerides as separate values without calculating their relationships.

TDG relevance: The TDG blood chemistry panel calculates TG:HDL ratio and AIP from the raw lipid values — producing a cardiovascular risk picture that the standard report misses. This is one of the most clinically significant calculations available from a routine blood draw.
Key Clinical Takeaway
"By the time fasting glucose becomes abnormal, insulin resistance has typically been present and progressing for a decade. The window for easy, lifestyle-based intervention closes long before conventional testing detects a problem. Earlier markers — fasting insulin, HOMA-IR, TG:HDL ratio — exist. They are simply not tested."
08
Functional Medicine Outcomes · Clinical Evidence

What Happens When You Actually Test and Treat the Pattern

FDN methodology · Functional medicine outcomes · Fatigue · Stress · Digestive health
One of the most common objections to functional medicine is that it lacks clinical outcome data. This is changing. The research that does exist — focused on structured, biomarker-guided functional medicine protocols — consistently demonstrates clinically meaningful improvements in fatigue, stress, and digestive symptoms in populations that have not responded to conventional approaches. The paper below is one of the few peer-reviewed studies to evaluate a formal FDN-based methodology — the framework on which the TDG programme is built — in a controlled clinical setting.

Cutshall, Bergstrom & Kalish (Complementary Therapies in Clinical Practice, 2016) evaluated a structured FDN-based programme in women presenting with fatigue, stress, and digestive complaints — the three symptom clusters most common in functional medicine practice. The protocol used salivary hormone testing, stool analysis, and targeted lifestyle intervention. Participants demonstrated statistically significant improvements across all three symptom domains. The study is notable for its use of the same biomarker-guided, multi-system assessment approach that underpins the TDG programme — and for demonstrating that outcomes improve when intervention follows testing rather than preceding it.

TDG relevance: This is the closest peer-reviewed validation of the FDN methodology on which the TDG programme is built. Cutshall SM, Bergstrom LR, Kalish DJ. "Evaluation of a functional medicine approach to treating fatigue, stress, and digestive issues in women." Complementary Therapies in Clinical Practice. 2016 May;23:75-81. PMID: 27157963. Note: A published correspondence (PMID: 27814977) raises methodological questions about the study design — a limitation acknowledged here in the spirit of honest appraisal. The evidence base for structured functional medicine outcomes is developing; this remains the most directly relevant published study in the area.
Key Clinical Takeaway
"Structured, biomarker-guided functional medicine intervention produces measurable improvements in fatigue, stress, and digestive symptoms — the same presentations that most often cycle through conventional medicine without resolution. The difference is not the intervention. It is the investigation that precedes it."
09
Targeted Supplementation · Evidence-Based Intervention

Supplements as Medicine — When the Evidence Justifies the Dose

CoQ10 · Magnesium · Iron bisglycinate · Lactoferrin · Form and bioavailability
Supplementation in functional medicine is not the same as supplementation in the wellness industry. The distinction is specificity: supplementing a confirmed deficiency with a bioavailable form at a clinically relevant dose is a targeted intervention with a predictable outcome. Supplementing broadly with a general multivitamin is neither. The TDG programme uses testing to identify specific deficiencies and depletions — including drug-nutrient interactions from long-term medication use — before any supplement is recommended. The evidence below supports the specific forms and applications used in clinical practice, not the general supplement category.
PubMed · Academic Search Multiple peer-reviewed studies

Coenzyme Q10 (ubiquinol) is essential for mitochondrial electron transport chain function — every cell that generates energy requires it. Statin medications inhibit the HMG-CoA reductase pathway used to synthesise CoQ10 endogenously, producing measurable depletion in long-term users. The clinical consequence — muscle pain, fatigue, and exercise intolerance — is well-documented and consistently underdiagnosed. CoQ10 supplementation at 100–200mg daily (as ubiquinol, the reduced form) is standard practice for any client on long-term statin therapy. The research base extends beyond statins to primary mitochondrial dysfunction, heart failure, Parkinson's disease, and ME/CFS.

TDG relevance: The TDG Drug-Nutrient Interaction Analyser flags statin use and generates a CoQ10 depletion protocol automatically. Ubiquinol (not ubiquinone) is specified — the distinction in bioavailability matters clinically, particularly in patients over 40 where conversion capacity declines.
PubMed · Academic Search Clinical and mechanistic research

Magnesium is a cofactor in over 300 enzymatic reactions and plays a direct regulatory role in HPA axis activity. Magnesium deficiency increases HPA reactivity — producing elevated cortisol — while cortisol itself drives urinary magnesium excretion, creating a self-reinforcing depletion cycle. Long-term PPI use, diuretic use, type 2 diabetes, and chronic psychological stress all deplete magnesium. RBC (red blood cell) magnesium is the functionally relevant measurement — serum magnesium is tightly regulated and remains normal until depletion is severe. Most clinical testing uses serum magnesium, which misses the majority of functional magnesium insufficiency.

TDG relevance: The TDG HPA axis protocol includes magnesium status assessment and specifies forms based on clinical presentation — glycinate for sleep and anxiety, malate for fatigue and muscle function, threonate where cognitive support is indicated. Form specificity is not optional in clinical practice.
PubMed · Academic Search Comparative bioavailability studies

Ferrous sulphate is the standard NHS iron supplement. It is also the form most associated with gastrointestinal side effects — constipation, nausea, and cramping — that reduce compliance. Iron bisglycinate chelate demonstrates equivalent or superior iron absorption at lower elemental doses with significantly fewer gastrointestinal effects, multiple comparative studies show. The chelated form is absorbed via a peptide transport mechanism that bypasses the standard non-haem iron absorption pathway, making it less susceptible to inhibition by phytates, tannins, and calcium. For clients with gut dysbiosis or compromised intestinal permeability, this distinction is clinically significant.

TDG relevance: Iron bisglycinate is the standard TDG iron repletion recommendation. Timing guidance (away from coffee, tea, calcium, and dairy — with vitamin C) and dosing (typically 25–50mg elemental iron daily) are individualised based on ferritin level, transferrin saturation, and gut health findings from the GI-MAP.
PubMed · Academic Search Clinical research · Mechanisms

Lactoferrin is an iron-binding glycoprotein with a high affinity for free iron that modulates absorption, reduces oxidative iron toxicity, and has established antimicrobial and anti-inflammatory properties. For clients with recurrent or persistent iron deficiency where standard supplementation has failed — or where gut pathology is contributing to malabsorption — lactoferrin represents a clinical option supported by a growing body of evidence. It is particularly relevant in clients where elevated ferritin (as an acute-phase reactant) masks actual iron availability, and in post-infection recovery where gut barrier integrity is compromised.

TDG relevance: Lactoferrin is reserved for repeat-deficiency presentations where iron bisglycinate has not achieved adequate repletion — typically indicating an absorption or gut barrier issue that requires GI-MAP investigation before continuing supplementation.
Key Clinical Takeaway
"The form of a supplement matters as much as the dose — and the dose matters as much as the indication. CoQ10 as ubiquinol not ubiquinone. Magnesium form matched to presentation. Iron as bisglycinate not sulphate. These are not preferences. They are the difference between a clinical intervention and an expensive placebo."
10
Exercise · Movement Quality · HPA Axis · Metabolic Health

Exercise Is Not a Calorie Equation — It Is a Biological Signal

HPA axis regulation · Movement quality · Metabolic flexibility · DRESS model
Exercise is one of the five pillars of the DRESS model — Diet, Rest, Exercise, Stress reduction, Supplementation — that underpins the FDN approach. But exercise done incorrectly, at the wrong intensity, or without the physical quality to execute it safely, adds physiological stress to a system that may already be in deficit. The quantity of exercise — reps, miles, calories burned — is not the same as the quality of movement. Range of motion with control, stability, mobility, and appropriate load are the clinical variables that determine whether exercise restores or depletes. The evidence below supports both the HPA-regulatory benefits of appropriately dosed exercise and the clinical importance of movement quality as a distinct therapeutic variable.
PubMed · Academic Search Multiple peer-reviewed studies

Appropriately dosed exercise is one of the most potent non-pharmacological regulators of HPA axis reactivity. Regular moderate-intensity aerobic exercise reduces basal cortisol, improves the cortisol awakening response, enhances hypothalamic sensitivity to glucocorticoid negative feedback, and attenuates the cortisol response to psychological stressors. The dose-response relationship is non-linear — overtraining produces the opposite effect, driving HPA hyperactivity and cortisol excess that compounds the same dysregulation it was intended to address. This is why the TDG programme assesses exercise appropriateness — not just whether clients exercise, but whether the type, intensity, and volume of exercise is appropriate for their current HPA axis status.

TDG relevance: DUTCH Plus four-point cortisol data informs exercise recommendations directly. A client with a flat cortisol curve and suppressed morning awakening response requires different exercise guidance than one with elevated evening cortisol. The same programme applied without this information risks worsening the pattern it intends to improve.
PubMed · Academic Search Clinical and biomechanical research

Movement quality — defined as the ability to move through an appropriate range of motion with structural control — is a distinct clinical variable from exercise volume. Poor movement mechanics produce cumulative compensatory load on joint structures, contribute to chronic inflammatory states through repetitive micro-trauma, and accelerate functional decline with age. The physical attributes that underpin quality movement — stability, mobility, flexibility, strength, and power — all decline with age if not specifically trained. Power in particular, the capacity to produce force rapidly, declines fastest from the fifth decade and is the primary determinant of fall resistance and functional independence in older adults. The research on movement quality as a health variable is expanding rapidly as sports science and clinical medicine converge.

TDG relevance: Movement quality assessment is a component of the TDG whole-person approach — consistent with the DRESS model's exercise pillar. Stephen Duncan's 37 years of coaching experience, beginning as an athletics and boxing coach at 18, informs the clinical movement quality assessment used in practice.
Key Clinical Takeaway
"Exercise done appropriately — matched to the individual's HPA axis status, movement capacity, and recovery ability — is one of the most potent clinical interventions available. Exercise done without this calibration adds stress to a system already in deficit. The question is never just whether to exercise. It is what kind, at what intensity, and for this person's specific physiological state right now."
05
The Case for Biomarker-Guided Intervention

Testing Before Treating: The Evidence

Personalised medicine · Biomarker-stratified outcomes · Precision over protocol
The most fundamental principle of the TDG system is also the one with the broadest evidence base: that interventions guided by individual biomarker data produce substantially better outcomes than interventions applied without it. This has been most comprehensively demonstrated in oncology — where biomarker-stratified trials consistently outperform non-stratified approaches — but the principle applies across all domains of medicine. Testing before treating is not a preference. It is a methodological requirement for anything approaching reliable clinical outcomes.

Schwaederle et al. (JAMA Oncology) meta-analysed 346 phase 1 clinical trials to compare outcomes between biomarker-guided and non-guided treatment arms. The biomarker-based approach was independently associated with a response rate of 30.6% versus 4.9% for non-personalised approaches — a six-fold difference. Progression-free survival was nearly doubled. Non-personalised targeted therapy performed no better than cytotoxic chemotherapy. The paper's conclusion is stark: applying targeted treatments without biomarker selection produces outcomes statistically equivalent to non-targeted approaches.

TDG relevance: The principle is domain-agnostic. A nutritional or lifestyle intervention applied without biomarker guidance is not a targeted intervention — it is a guess applied to an unknown target. The TDG system exists to change that ratio.
Summary Position

The evidence supports the framework.
The framework shapes the practice.

The papers collected here do not prove that the TDG programme works — clinical programmes of this kind require their own evidence, which is a long-term ambition. What the literature does establish is the biological plausibility and clinical rationale for every layer of the methodology: that the gut and hormones are mechanistically linked through the estrobolome; that HPA dysregulation and sex hormone suppression form bidirectional cycles; that mitochondrial dysfunction produces measurable metabolic patterns that appear before clinical diagnosis; that delayed food reactions drive inflammatory load through a distinct immune mechanism; and that biomarker-guided intervention consistently outperforms non-guided approaches.

The TDG system was built to integrate these findings into a coherent clinical investigation — one that reads across systems simultaneously rather than treating each in isolation. That integration is what makes it different. And it is what the evidence, increasingly, supports.