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Clinical Reasoning · Pattern Recognition · Root Cause

Treating the Test Result
vs Reading the Pattern

A single marker tells you what. A pattern tells you why. The most consequential clinical skill in functional medicine is not lab interpretation — it is recognising what multiple findings, read together across multiple systems, reveal about the underlying driver that no individual test can show. On the difference between treating a number and understanding what the number means.

Stephen Duncan
BSc (Hons) · PG Dip · MSc · FDN-P · 37 Years Clinical Experience
June 2026
12 min read

A client presents with fatigue. Their GP has run blood tests. Everything is normal. They are told there is nothing wrong. They come to see me.

I run five integrated tests. The results come back. And in isolation, each one of them tells a partial story. The DUTCH shows a flat cortisol curve — low morning, no peak, flat all day. The GI-MAP shows depleted secretory IgA and opportunistic bacterial overgrowth. The organic acids show impaired Krebs cycle markers and mitochondrial inefficiency. The blood chemistry shows ferritin at 24 µg/L and fasting insulin at 9 µIU/mL. The food sensitivity panel shows reactivity to dairy and gluten.

Now. If I treat each of those findings individually — if I take the flat cortisol and design an adrenal support protocol, take the Candida and prescribe an antifungal, take the ferritin and prescribe iron, take the insulin and recommend blood sugar management, take the food sensitivity and design an elimination plan — I will produce five separate interventions for what is, in this person, one underlying clinical pattern.

That pattern is: chronic stress has driven HPA dysregulation, which has suppressed gut immune function, which has allowed opportunistic overgrowth, which has impaired gut barrier integrity, which has driven food immune activation, which has created a systemic inflammatory load that is impairing mitochondrial function, which is producing the fatigue that the GP's blood tests found nothing to explain.

The individual findings are not wrong. The individual interventions are not entirely wrong either. But treating them individually is treating the leaves of a tree rather than the roots. The pattern is the diagnosis. The upstream driver is the target. And the pattern is only visible when you read across all five tests simultaneously, in the context of a person's full history.

What versus why — the fundamental clinical distinction

Every test result answers the question "what?" A ferritin of 24 µg/L tells you what the ferritin level is. A low testosterone tells you what the testosterone level is. An elevated beta-glucuronidase tells you what is present in the gut. These are real and useful pieces of information. They are not, by themselves, clinical answers.

What a single marker tells you
The measurement

A number, in a range, at a point in time. Useful as a data point. Insufficient as a clinical finding without the context of what else is happening in the same person's biology.

Ferritin: 24 µg/L — low-normal
Testosterone: 11 nmol/L — low-normal
Vitamin D: 38 nmol/L — insufficient
Beta-glucuronidase: elevated
What a pattern across markers tells you
The mechanism

The upstream driver producing those numbers simultaneously. The clinical finding that makes the individual measurements make sense — and that determines which intervention will actually change things.

Ferritin low + thyroid conversion impaired + fatigue = iron-dependent T4→T3 failure
Testosterone low + cortisol high + poor sleep = HPG axis suppression, not primary testosterone deficiency
Vitamin D low + OAT fat digestion markers + low bile acids = absorption failure, not just insufficient sun
Beta-glucuronidase + Phase II impairment + GGT = oestrogen recirculation pattern

The difference between these two columns is the difference between a result and a clinical impression. Both require the same raw data. Only one of them tells you what to do about it — and more importantly, why doing it will work this time when the same intervention may not have worked before.

Four patterns — and what they look like in practice

These are not theoretical. They are the patterns I see recurring across clinical practice — the combinations of findings that appear together often enough, and coherently enough, that they tell a story no individual marker could tell alone.

Pattern 01 — The HPA-Gut Collapse
DUTCH Plus GI-MAP Randox OAT
DUTCH
Flat diurnal cortisol — low morning, absent peak, no variation across the day. Low DHEA-S.
GI-MAP
Depleted secretory IgA. Opportunistic bacterial overgrowth. Candida present.
Randox
Elevated CRP. Low-normal ferritin. Fasting insulin trending upward.
OAT
Elevated Krebs cycle intermediates. Mitochondrial inefficiency markers.
↓ read together ↓
The Pattern

Chronic HPA activation — or exhaustion — has suppressed gut immune defence via cortisol's direct effect on sIgA secretion. A depleted gut immune system cannot maintain microbial balance, producing the dysbiosis and Candida that appear on the GI-MAP. The inflammatory load from that gut dysfunction drives the elevated CRP and the mitochondrial inefficiency on the OAT. The fatigue is mitochondrial. The mitochondrial dysfunction is inflammatory. The inflammation is gut-driven. The gut dysfunction is HPA-driven. Treating Candida alone without addressing cortisol rhythm is treating the middle of the chain, not the start of it.

Clinical Direction

HPA rhythm restoration precedes or runs parallel to gut intervention. Treating Candida into a cortisol-suppressed immune environment will produce partial and temporary results. The immune system needs to be capable of maintaining the correction before the gut work will hold.

Pattern 02 — The Oestrogen Recirculation Loop
DUTCH Plus GI-MAP OAT Randox
GI-MAP
Elevated beta-glucuronidase — produced by dysbiotic bacteria, deconjugates excreted oestrogens in the gut.
DUTCH
Skewed 2-OH:16-OH oestrone ratio. Impaired Phase II oestrogen detoxification — glucuronidation and sulphation pathways compromised. Elevated 16-alpha-hydroxyoestrone.
Randox
GGT elevated at high-normal. ALT trending. Liver detoxification under strain.
OAT
Elevated urinary bile acids. Detoxification burden markers positive.
↓ read together ↓
The Pattern

Dysbiotic bacteria in the gut are producing beta-glucuronidase, which deconjugates oestrogens the liver has already packaged for excretion — allowing them to be reabsorbed into circulation rather than eliminated. The DUTCH shows the consequence: the oestrogen metabolite profile is skewed toward the proliferative 16-OH pathway and away from the protective 2-OH pathway, and Phase II detoxification is impaired. The liver is struggling with the recirculated oestrogen load, which shows on GGT and ALT. This is a single recirculation loop involving four different tests and three different body systems — none of which shows the full picture alone.

Clinical Direction

Address beta-glucuronidase at source — gut dysbiosis. Support Phase II detoxification pathways. Reduce oestrogen recirculation load through specific microbiome work alongside liver support. Treating oestrogen dominance with progesterone or supplements while the recirculation loop continues is working against the underlying mechanism.

Pattern 03 — The "Normal Bloods" Fatigue Pattern
Randox OAT DUTCH Plus
Randox
Ferritin 22 µg/L — "normal." TSH 2.8 — "normal." Free T4 adequate. Free T3 low-normal. Ferritin below optimal for T4→T3 conversion.
OAT
Elevated Krebs cycle intermediates. Mitochondrial inefficiency pattern. B-vitamin cofactor depletion markers.
DUTCH
Low DHEA-S. Cortisol adequate but blunted response. Melatonin low — poor sleep architecture.
↓ read together ↓
The Pattern

Ferritin at 22 µg/L is below the functional threshold for adequate deiodinase enzyme activity — the iron-dependent enzymes that convert T4 to active T3. The thyroid is producing T4 normally (TSH is fine, T4 is fine) but the conversion to active T3 is impaired by sub-optimal iron stores. The OAT confirms mitochondrial inefficiency — the cells are not producing ATP efficiently. The DUTCH shows low DHEA-S and poor melatonin, meaning the HPA axis is fatigued and sleep architecture is compromised, further impairing overnight regeneration. This client was told their blood tests were normal. They were. But the functional pattern across three tests tells a different story entirely.

Clinical Direction

Restore ferritin to functional optimal (50–100 µg/L) to restore deiodinase function. Support mitochondrial cofactors (CoQ10, B-vitamins, magnesium). Address sleep architecture. The thyroid does not need treating — it needs the cofactors to convert what it is producing. The GP found nothing wrong. Functionally, there was a great deal wrong.

Pattern 04 — Low Testosterone as Downstream Effect
DUTCH Plus Randox OAT
Randox
Total testosterone low-normal. SHBG elevated — free testosterone fraction reduced further. Fasting insulin 11 µIU/mL. HbA1c high-normal. Ferritin low.
DUTCH
Elevated evening cortisol — cortisol competing with testosterone for pregnenolone precursor. Low DHEA-S. Melatonin depleted — poor sleep quality confirmed.
OAT
Mitochondrial markers impaired. B6 deficiency pattern — required for testosterone synthesis.
↓ read together ↓
The Pattern

The testosterone is low because four separate systems are suppressing it simultaneously. Elevated evening cortisol is diverting pregnenolone away from testosterone synthesis toward cortisol production — the adrenals and gonads compete for the same precursor. Poor sleep is reducing the overnight testosterone production window. Insulin resistance is elevating SHBG, reducing free testosterone further. B6 and iron deficiency are compromising synthesis cofactor availability. Treating the testosterone number directly — with testosterone therapy or "optimisation" supplements — addresses none of these four drivers. They continue. The testosterone number may improve temporarily. The underlying physiology does not.

Clinical Direction

Address cortisol rhythm. Restore sleep architecture. Resolve insulin resistance. Replete cofactor deficiencies. Testosterone follows when the systems suppressing it are addressed. This is a cascade correction, not a hormone replacement.

The three failure modes of single-marker thinking

Single Marker vs Pattern — The Clinical Difference
Treating the number
Ferritin low → prescribe iron
Testosterone low → raise testosterone
Candida present → antifungal protocol
Vitamin D insufficient → supplement D3
Result: the number changes. The driver remains. Symptoms return.
Reading the pattern
Ferritin low + thyroid conversion impaired → iron is the limiting factor in T4→T3 conversion. Restore ferritin. Thyroid follows.
Testosterone low + cortisol high + poor sleep → address the three systems suppressing testosterone. Testosterone follows.
Candida + flat cortisol + depleted sIgA → HPA dysregulation is driving immune suppression. Restore HPA rhythm alongside gut work.
Vitamin D low + poor fat digestion + low bile acids → absorption failure. Address liver/bile flow. Supplementing without this produces poor response.
Result: the driver is addressed. The downstream markers correct themselves.

Why this requires integration, not addition

Reading patterns across five tests is not the same as reading five tests and adding the findings together. Addition gives you a list. Integration gives you a clinical impression — the sense of what this person's biology is doing as a system, and where in that system the primary driver sits.

This distinction matters practically because it determines the sequence of the protocol. A list of findings produces a list of interventions, each addressing its own item. A clinical impression produces a sequenced protocol — address the driver first, support the downstream consequences in parallel, and monitor what resolves on its own once the upstream pressure is removed.

"You do not treat a test result. You treat what the test results, read together, tell you about what is happening in this person's biology — and that is always more than any individual test can show."

The practical implication is this: if you have run comprehensive functional testing and are still not getting durable results, the question is not usually "do we need more tests?" It is "are we treating the pattern or the individual markers?" A complete picture, correctly interpreted, should point clearly upstream. If it isn't pointing upstream, the integration hasn't happened yet.

The same error, differently expressed

Single-marker thinking is not unique to clinical medicine. It appears wherever complex systems are reduced to individual metrics and policy is designed around those metrics rather than the system that produced them.

A Parallel Worth Noting
Food safety regulation has spent decades evaluating individual additives — asking "is this ingredient safe?" rather than "what is the cumulative effect of ten thousand industrial ingredients consumed in combinations that no human population has experienced before?" A single preservative that passes safety review in isolation may behave differently as one of thirty ingredients in a product consumed daily across a lifetime. The marker passes. The pattern causes harm. The same logical error — isolating a single variable in a complex system and drawing conclusions from it — produces unreliable results whether the system is a human metabolic network or a food supply. The remedy in both cases is the same: read the pattern, not the individual measurement.

What this means if you've been told everything is normal

"Everything is normal" almost always means "each marker, assessed individually against a population reference range, falls within the central 95% of that population." It does not mean the markers, read together in the context of your history, symptoms, and full clinical picture, tell a normal story. They often don't.

The fatigue, the weight resistance, the hormonal symptoms, the persistent gut issues, the poor sleep, the cognitive fog — these are not imagined. They are the surface expression of patterns that individual markers, assessed individually, are not designed to find. They require a different kind of investigation — one that looks for the pattern rather than the outlier, and treats what the pattern reveals rather than the individual numbers that compose it.

Five tests. One integrated clinical picture.

The TDG Five-Test System is built for pattern recognition — five tests interpreted simultaneously in the context of your full health history, looking for the upstream drivers that individual markers can't show. If you've been told everything is normal and still don't feel normal, the pattern is where the answer is.

See the TDG Programme →