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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 checked on PubMed (one review via its publisher) · Revised October 2026
10
Clinical Areas
34
Sources
Graded
What each shows
ℹ
Important context: This document presents peer-reviewed research relevant to the functional testing 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
Gut bacteria help recycle oestrogen, and oestrogen in turn shapes the gut microbiome. Reviews suggest disturbances in this system may contribute to conditions from endometriosis to menopausal symptoms, but most human evidence is observational, and studies disagree on which direction the effect runs. That’s why I read gut and hormone results side by side rather than in isolation.

Baker and colleagues reviewed how gut bacteria help regulate circulating oestrogen. The main route is an enzyme, β-glucuronidase, that frees oestrogen in the gut so it can be reabsorbed. They propose that lower microbial diversity may reduce this and lower oestrogen, and that this may contribute to several conditions. They also note the effect runs both ways: oestrogen levels shape the microbiome too. This is a narrative review; most of the human evidence it draws on is observational.

TDG relevance: This is why I look at gut and hormone results together rather than in isolation. It is a reason to ask the question, not proof that a gut result predicts a hormone result. That link hasn’t been tested.

Hu and colleagues reviewed how the gut enzyme β-glucuronidase affects oestrogen recycling, and how oestrogen levels in turn shape the gut microbiome. They suggest that measuring this enzyme activity may one day help with early diagnosis of oestrogen-driven cancers. They are clear that it is not yet known which bacteria matter most, and that the evidence is “relatively scattered”. Note the direction: some studies link low gut diversity to lower oestrogen (card above), others to higher. It isn’t settled.

TDG relevance: A reason to read gut and hormone results side by side. It is not evidence that a stool test predicts hormone changes.

Ervin and colleagues tested 35 gut-bacterial β-glucuronidase enzymes in the lab. Some enzyme classes turned inactive oestrogen back into active oestrone and oestradiol. This was blocked in purified enzymes and mouse stool samples. But blocking one enzyme class did not reduce breast tumours in mice, and the authors conclude that many enzymes are probably involved. It confirms the mechanism exists. It does not show what a stool result means for an individual’s hormone levels.

TDG relevance: Shows the mechanism is real. Whether it shows up in an individual’s DUTCH result hasn’t been tested.

In mice, removing the ovaries changed the gut microbiome (on a low-fat diet), raised faecal β-glucuronidase activity, and made the gut leakier and more inflamed. Germ-free mice given these animals’ gut bacteria gained more weight and showed liver changes linked to metabolic dysfunction. This suggests the microbiome can contribute to metabolic changes after oestrogen loss. It is a mouse study of sudden surgical oestrogen loss, and it has not been tested in women.

TDG relevance: A reason to consider gut health in midlife women. Whether improving gut health changes hormone-related outcomes in women hasn’t been tested.
Key Clinical Takeaway
“The gut microbiome helps recycle oestrogen and may influence oestrogen-related conditions; much of the human evidence is still observational.”
02
Stress, Cortisol & HPA Axis Dysregulation

Why Chronic Stress Rewires Your Hormones

DUTCH Plus diurnal cortisol · Cortisol pattern · HPA-HPG axis cross-talk · CAR pattern
The hypothalamic-pituitary-adrenal (HPA) axis is the body’s main stress-response system. Chronic stress doesn’t always mean high cortisol: depending on the stressor and the person, cortisol can run high, run low or lose its normal daily rhythm. The popular idea of “adrenal fatigue” has no supporting evidence (Cadegiani & Kater 2016). In animal studies, oestradiol and testosterone change how strongly the stress axis responds, and stress hormones and sex hormones interact; how far this applies to people isn’t fully known. A multi-point cortisol pattern shows more about the daily rhythm than a single blood sample, but these tests give inconsistent results across studies, so I read them as one input, not a diagnosis.

Herman and colleagues reviewed how the brain switches the stress response on and off. Chronic stress can show up as persistently high cortisol, an over-reactive stress response, or a blunted one, depending on the stressor and the person. Chronic stress can also engage different brain circuits from acute stress. Much of this circuitry comes from animal research.

TDG relevance: It describes a pattern; it doesn’t assign a “stage”. Herman’s review explains why more than one cortisol pattern is possible. It doesn’t test any particular cortisol test.

Oyola and Handa reviewed how sex hormones shape the stress (HPA) axis, mostly in rats and mice. In rodents, oestradiol tends to make females’ stress-hormone responses larger, while testosterone tends to dampen males’. The authors note it is unclear how far this applies to humans.

TDG relevance: When a DUTCH shows both a high cortisol load and low sex hormones, I consider whether they are connected. Treating stress load first is my clinical approach, not something this paper tested.

Heck and Handa reviewed sex differences in the stress-hormone response. In adult female rodents, the response to an acute stressor is markedly larger than in males, mainly because of oestradiol and testosterone. The review is mostly about rodents. It includes a brief section on humans and says sex differences after chronic stress are still an open question.

TDG relevance: One reason I read cortisol results alongside a woman’s hormone status and cycle stage. Whether this explains symptom differences in perimenopause hasn’t been tested.

Ring’s review in the American Journal of Medicine describes the many things that can push the stress axis out of balance: psychological stress, diet, disrupted sleep and daily rhythm, environmental exposures, gut health and hormones. It covers integrative treatments including mind–body therapies, diet and lifestyle, and supplements. It notes that cortisol tests “vary in sensitivity and clinical utility”. It is a narrative review, so it describes these approaches rather than grading the trial evidence for each.

TDG relevance: This review is why the intake asks about stress, sleep, diet, gut and environment together. It supports asking broadly. It does not test the intake forms.
Key Clinical Takeaway
“A single morning cortisol is useful for ruling out adrenal disease, but it says little about the daily rhythm. In women, stress and sex hormones interact, so I read them together.”
03
Mitochondrial Function & Cellular Energy

When Fatigue Isn't About Sleep

Organic Acids Test · Krebs cycle markers · Pyruvate dehydrogenase · Long COVID · ME/CFS · → PubMed search
Some fatigue that doesn’t respond to rest may involve problems with cellular energy production. Mitochondrial dysfunction has been implicated in ME/CFS, long COVID, neurodegenerative disease and metabolic syndrome. The organic acids test measures urinary by-products of energy metabolism. It can point to where to look, but it hasn’t been validated as a diagnostic test for mitochondrial dysfunction, and one key study found the pattern in ordinary serum.

In 200 people with ME/CFS and 102 healthy controls, Fluge and colleagues found a pattern of low serum amino acids, mainly in women. The pattern suggested the enzyme that feeds sugar into aerobic energy production (pyruvate dehydrogenase) was being held back. Blood cells showed raised activity of genes that inhibit this enzyme. Muscle cells grown in patients’ serum produced excess lactate. This supports an energy-metabolism problem in ME/CFS. It does not show how to measure it in an individual.

TDG relevance: This is part of why I consider energy metabolism in unexplained, exercise-limiting fatigue. Whether urinary organic-acid markers reflect this enzyme problem hasn’t been tested.

Molnar and colleagues reviewed evidence that mitochondrial dysfunction may contribute to long COVID fatigue, brain fog and exercise intolerance. They draw parallels with ME/CFS and other post-infection syndromes. They list treatments under investigation, such as CoQ10 and NAD+ precursors, and say direct evidence in long COVID is “still emerging”. In their own group of 139 patients, a blood marker of mitochondrial stress was not linked to fatigue severity.

TDG relevance: In post-viral fatigue I consider energy metabolism as one possible contributor. No test, including the OAT, has been validated for diagnosing mitochondrial dysfunction in long COVID.
Review 2024 Signal Transduct Target Ther

Zong and colleagues reviewed mitochondrial dysfunction across heart disease, neurodegeneration, metabolic syndrome and cancer. They list supplements studied for mitochondrial support, including CoQ10, carnitine, creatine, riboflavin and nicotinamide riboside, alongside drug and experimental treatments. They note that few of the supplement studies are randomised trials; most are open-label.

TDG relevance: When I use cofactor support for suspected energy-metabolism problems, the rationale is mechanistic. Randomised evidence for specific supplements is limited.
Key Clinical Takeaway
“Persistent fatigue has many causes. Energy metabolism is one worth investigating, and organic acids can suggest where to look.”
04
Food Sensitivity & Delayed Immune Reactions

The Hidden Inflammatory Load

HealthBeings IgG food panel (286 foods) · Delayed-onset reactions · IBS · Migraine · Gut permeability
Standard food allergy testing looks for IgE, the antibody behind immediate reactions such as peanut allergy. Food IgG is different: it is common in people with no symptoms, and major allergy bodies advise against using it to diagnose food reactions. The best trials so far are sham-controlled studies in IBS and migraine, each with limits, and none used the commercial panels in general use. So I grade IgG-guided elimination as mixed evidence and use it as a structured trial with planned reintroduction.

In a single-centre, single-blind trial in China, 98 adults with migraine and at least one positive food-IgG result were randomised for 12 weeks. One group avoided the foods they tested positive to; the other (sham) group avoided foods they tested negative to. The real-elimination group had fewer migraine days (about one fewer a month than sham), less disability, fewer gut symptoms and better sleep scores. Blood markers of inflammation (IL-6, TNF-α) and the migraine-related peptide CGRP also fell. Mood and anxiety did not differ. The authors call for larger multicentre trials, and the inflammation mechanism they propose is speculative.

TDG relevance: One of two sham-controlled trials (the other in IBS, below) that support trying IgG-guided elimination in selected people. Neither used the panel I use. I grade the evidence as mixed, and treat elimination as a trial with planned reintroduction, not a diagnosis.

In a double-blind trial at 8 US centres, 238 adults with IBS who tested positive to at least one of 18 foods on a new IBS-specific IgG test were randomised to an IgG-guided elimination diet or a sham diet for 8 weeks. 59.6% on the IgG-guided diet reached the main goal (at least 30% less abdominal pain), against 42.1% on the sham diet. The benefit looked larger in constipation-predominant and mixed IBS. The test was a purpose-built 18-food IgG test for IBS made by Biomerica (inFoods IBS), not one of the broad 200-plus-food panels sold for general use, and the authors call for a larger study. Biomerica funded the trial, and four of its authors consult for the company (Gastroenterology 2025, funding and disclosures).

TDG relevance: The strongest IgG trial so far. It supports trying IgG-guided elimination in IBS as a structured trial. It doesn’t validate the commercial panels in general use, including mine.

In an open-label study of 73 women with mixed-type IBS, 21 followed a diet guided by IgG food testing, 26 followed a low-FODMAP diet and 26 followed standard advice from their gastroenterologist, all for 8 weeks. Pain-related symptoms improved within the IgG group. Bloating and related symptoms improved within the FODMAP group. The control group showed no significant change. Groups were not randomised, patients knew which diet they were on, and the groups were not compared statistically with each other. So this study cannot show one diet is better than another, despite its title.

TDG relevance: Low-quality evidence. The 2025 sham-controlled IBS trial (Singh, above) is the stronger source.
Retrospective observational, n=67 followed up 2024 Front Immunol

In a retrospective review of 407 children attending a Chinese allergy clinic, more than 80% had raised food-IgG4, mostly to egg and milk. Of the 67 who later avoided their IgG4-positive foods for at least three months (about half also took probiotics), IgG4 levels fell. Bigger falls went with more parent-reported improvement. There was no comparison group that did not change their diet, and IgG4 naturally falls when a food is no longer eaten. The study was in children with allergic disease, not adults with food intolerance.

TDG relevance: Major allergy bodies do not recommend IgG4 for diagnosing food allergy. This uncontrolled study doesn’t change that.

Garmendia and colleagues reviewed what food-specific IgG antibodies mean. IgG to foods is common in people with no symptoms and may be part of normal tolerance. Some IgG-guided elimination diets have improved symptoms in conditions such as IBS. Major allergy organisations advise against routine IgG testing. The authors conclude that IgG testing should currently be treated as investigational and interpreted cautiously alongside the full clinical picture.

TDG relevance: This is the main counterweight to the trials above. It is why I treat an IgG result as a starting point for a structured elimination-and-reintroduction trial, never as a diagnosis.
Key Clinical Takeaway
“Delayed food reactions are hard to spot. IgG testing can suggest which foods to trial removing, but the evidence is mixed, and a careful elimination and reintroduction is still how you confirm a trigger.”
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 57–87 markers
Conventional laboratory reference ranges are derived from population distributions — they identify statistical outliers, not optimal function. A result inside the range can still matter. But a narrower range is only as good as the evidence behind it. Some have trial evidence: a ferritin of 22 µg/L can pass as normal on some lab reports, yet below 30 µg/L means low iron stores, with iron deficiency likely (British Society of Gastroenterology 2021), and in non-anaemic women with fatigue, iron helped those with ferritin at or below 50 µg/L. Many “functional” ranges have no outcome evidence at all, so on this site each range is labelled with its source, or as my own clinical target. The TDG blood chemistry panel reads 57 to 87 markers that way — and calculates relationships between markers that standard reporting never computes.
One RCT + one diagnostic study 1998, 2003 Randomised trial · Diagnostic accuracy

Ferritin at or below 30 µg/L identified iron deficiency with 92% sensitivity and 98% specificity in anaemic patients checked against bone marrow or response to iron; the older 12 µg/L cut-off caught only a quarter of them (Mast 1998). In a randomised trial of 144 non-anaemic women with unexplained fatigue, iron reduced fatigue, and the benefit was confined to women with ferritin at or below 50 µg/L (Verdon 2003). Many lab lower limits sit below both figures, which is why a “normal” ferritin can still be the problem. Claims that low-normal ferritin impairs thyroid conversion are mechanistic and untested.

TDG relevance: I read ferritin against these two studies and the British Society of Gastroenterology guideline: below 15 µg/L, iron stores absent; below 30 µg/L, low stores with iron deficiency likely (BSG 2021; in people seeing a doctor, sensitivity 79% and specificity 98%, low-certainty evidence, Garcia-Casal 2021); and my clinical target is 50–100 µg/L for women and men. The target is my judgement from the Verdon trial, not an outcome-validated range.
One RCT; links otherwise observational 2010 Randomised trial

Labs usually flag homocysteine above about 15 µmol/L. Higher levels within that range go with higher cardiovascular and dementia risk in observational studies, which can’t show cause. The clearest trial is VITACOG: in 271 people over 70 with mild memory problems, B vitamins slowed brain shrinkage over two years, and in those starting above 13 µmol/L the rate was 53% lower (Smith 2010). I flag homocysteine at about 11 µmol/L, a clinical judgement rather than a validated cut-off, and read it with B12 and folate to look for a cause.

TDG relevance: The TDG blood chemistry panel reads homocysteine alongside B12 and folate, so a raised result comes with a likely cause rather than a number on its own.
Key Clinical Takeaway
“A result inside the range can still matter. Ferritin is the clearest example with trial evidence.”
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 usually develops before fasting glucose rises. In the Whitehall II study, insulin sensitivity fell steeply over the five years before people were diagnosed with diabetes, while fasting glucose rose sharply only in the last three (Tabák 2009). The reason is compensation: as cells respond less to insulin, the pancreas makes more of it. Fasting insulin and HOMA-IR can show this phase. Neither is usually on a standard report.
Validation study + methods review 1985, 2004 Diabetologia · Diabetes Care

HOMA-IR estimates insulin resistance from one fasting glucose and insulin. In the original 1985 study it correlated closely with the gold-standard glucose clamp (r = 0.88), but a single estimate was imprecise (coefficient of variation about 31%) (Matthews 1985). Its authors later reviewed its use and warned against reading it as an individual diagnostic test; it is best used for comparing groups and following trends (Wallace 2004). There is no agreed cut-off. In the Whitehall II study, HOMA insulin sensitivity fell steeply over the five years before diabetes was diagnosed, while fasting glucose rose sharply only in the last three (Tabák 2009).

TDG relevance: I calculate HOMA-IR and watch the trend alongside fasting insulin, which I read against my working band of 18–48 pmol/L (3–8 µIU/mL). I don’t diagnose from one result.
Consensus statement 2009 Circulation

The harmonised definition of metabolic syndrome counts triglycerides of 1.7 mmol/L (150 mg/dL) or more, and HDL below 1.0 mmol/L (40 mg/dL) in men or 1.3 mmol/L (50 mg/dL) in women, as two of its five criteria; three of five make the diagnosis (Alberti 2009). The triglyceride-to-HDL ratio combines the two and is widely used as a rough marker of insulin resistance, but there is no agreed cut-off, and the number differs by about 2.3 times between mmol/L and mg/dL.

TDG relevance: The TDG panel calculates the ratio from the lipid results. I use it as a trend, in mmol/L, alongside the guideline cut-offs above, not as a stand-alone verdict.
Key Clinical Takeaway
“Insulin sensitivity can be falling for years before fasting glucose moves. Fasting insulin and HOMA-IR, read as trends, can show it earlier; neither is usually on a standard report.”
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
Outcome research on structured functional medicine programmes is limited. The study below is a small uncontrolled pilot of a test-led functional medicine programme in women with fatigue, stress and digestive symptoms. It reported improvements, but without a control group it can’t show the programme caused them.

In a 28-week pilot study, middle-aged women with fatigue, stress and digestive complaints followed a functional medicine programme guided by saliva hormone and stool testing. They reported improvements on many stress, fatigue and quality-of-life measures. Salivary DHEA rose, and stool tests suggested fewer H. pylori infections. There was no control group, so the study can’t show the programme caused the improvements, or that testing first made the difference.

TDG relevance: This is one of very few published evaluations of a test-led functional medicine programme. It was a small uncontrolled pilot of a related approach, not the FDN or TDG programme itself. Better-designed trials are needed.
Key Clinical Takeaway
“Early, uncontrolled research suggests test-led functional medicine programmes may help fatigue, stress and digestive symptoms; controlled trials are needed.”
09
Targeted Supplementation · Evidence-Based Intervention

Supplements as Medicine — When the Evidence Justifies the Dose

CoQ10 · Magnesium · Iron bisglycinate · Lactoferrin · Form and bioavailability
I test before recommending supplements and choose forms with the best available evidence. That evidence varies: some is from trials, and some is mechanistic. Each card says which.
Meta-analyses: mixed 2018–2020 Atherosclerosis · JAHA

Statins lower the body’s own CoQ10. Whether CoQ10 supplements relieve statin-related muscle pain is unsettled. A 2020 meta-analysis of 7 placebo-controlled trials (321 patients) found no benefit for muscle symptoms or for staying on the statin (Kennedy 2020). A 2018 meta-analysis of 12 trials (575 patients) found less muscle pain, weakness and cramp, with no change in creatine kinase (Qu 2018). The difference partly reflects which trials each included.

TDG relevance: The TDG Drug-Nutrient Interaction Analyser flags statin use as a CoQ10 question. Whether to try CoQ10 for statin-related muscle pain is a judgement call on mixed evidence; I say so. I don’t claim one form (ubiquinol or ubiquinone) is better: I haven’t found trials that settle it.
Systematic review + narrative review 2017, 2020 Nutrients

A systematic review of 18 studies found magnesium may help subjective anxiety in people already prone to it (mildly anxious, premenstrual syndrome, high blood pressure), but rated the evidence poor and called for better trials; no study measured stress with a validated scale (Boyle 2017). A later narrative review argues that stress increases magnesium loss and low magnesium increases stress sensitivity, a “vicious circle” supported mainly by animal and mechanistic work (Pickering 2020). Three of its eight authors work for Sanofi, which sells magnesium supplements.

TDG relevance: Magnesium is a common shortfall and I check intake and status. The anxiety evidence is weak, and the vicious-circle idea is mechanistic. Matching a form to a symptom (glycinate for sleep, for example) is my clinical preference, not something trials have settled.
Meta-analysis of 17 RCTs 2023 Nutr Rev

A meta-analysis of 17 randomised trials compared ferrous bisglycinate with other iron supplements. In pregnant women (9 trials), bisglycinate raised haemoglobin more and caused fewer gut side effects (about a third as many). In children there was no difference, and trials in other adults were too few to pool (Fischer 2023).

TDG relevance: I usually choose bisglycinate when iron is needed, mainly for tolerability. The strongest evidence is in pregnancy; for other adults it is thinner, and I say so.
Meta-analysis of 4 RCTs 2017 Eur J Obstet Gynecol Reprod Biol

In 4 trials of 600 pregnant women with iron-deficiency anaemia, bovine lactoferrin raised haemoglobin at least as well as ferrous sulphate, with fewer gut side effects (Abu Hashim 2017). The trials were all in pregnancy.

TDG relevance: An option when standard iron isn’t tolerated. Evidence outside pregnancy is limited, and lactoferrin doesn’t correct a ferritin raised by inflammation.
Key Clinical Takeaway
“The form of a supplement can matter. For iron, bisglycinate caused fewer gut side effects in trials in pregnancy. For other forms the evidence is thinner, and I say so.”
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. Exercise in general has some of the strongest evidence of any health intervention. How I coach it adds two things: matching the amount to how someone is recovering, and attention to movement quality (range of motion with control, stability and appropriate load). Those two are my coaching framework, built from experience; they haven’t themselves been tested in trials, and the cards below say what the linked searches do and don’t cover.
Systematic review and meta-analysis, 10 studies 2022 Psychoneuroendocrinology

A Stirling-led meta-analysis of 10 controlled studies found physical-activity programmes lowered cortisol (moderate-certainty evidence) and improved sleep quality (low certainty). Most participants were women with breast cancer; few were men and none were older adults, so the authors caution against generalising (De Nys 2022).

TDG relevance: Regular exercise as a way to lower stress load has some support. Adjusting training to how someone is recovering is my coaching approach; using a cortisol pattern to set the exercise prescription hasn’t been tested.

Reid and Fielding reviewed evidence that muscle power (force produced quickly) declines earlier and faster with age than strength, and has emerged as an important predictor of functional limitations in older adults (Reid 2012). That supports including fast, controlled movement in training as people age. It doesn’t test movement-quality coaching itself.

TDG relevance: Movement quality is central to how I coach, from nearly forty years of experience, beginning when I started coaching at 18. That is practice, not trial evidence; the power research is one reason I train speed as well as strength.
Key Clinical Takeaway
“Exercise has some of the strongest evidence of any health intervention. Matching it to how someone is recovering is how I coach; that matching itself hasn’t been trial-tested.”
05
The Case for Biomarker-Guided Intervention

Testing Before Treating: The Evidence

Personalised medicine · Biomarker-stratified outcomes · Precision over protocol
In cancer drug trials, choosing patients by a biomarker has been linked to much better response rates. I apply the same principle in my practice — measure, then target — but whether it improves results in nutrition and lifestyle care hasn’t been tested in the same way.

Across 346 early-phase cancer drug trials, treatment arms that selected patients using a biomarker had response rates of about 31%, against about 5% for arms that didn’t, and longer progression-free survival. Targeted drugs given without a biomarker did no better than standard chemotherapy. This comes from comparing trial arms rather than a randomised trial, and it is about cancer drugs designed to hit specific tumour changes.

TDG relevance: This is the principle I borrow: match the treatment to a measured target. Whether that improves outcomes in nutrition and lifestyle care hasn’t been tested the way it has in oncology.
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 give is a rationale for each layer of the method, at different strengths: the gut and oestrogen are linked (mostly observational and animal evidence); sex hormones shape the stress response (mostly animal evidence); energy-metabolism problems are found in ME/CFS and long COVID (case–control studies and reviews); IgG-guided elimination has helped in two sham-controlled trials, using tests other than the commercial panels (mixed); and biomarker-guided treatment has outperformed unguided treatment in cancer drug trials (not yet tested in nutrition).

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. Whether it improves outcomes is the question the programme itself still has to answer.