Preliminary data analysis
An exploratory comparison of de-identified Oligoscan and Theriome Aristotle Plus results. The aim is to examine shared marker patterns, differences between examples, and their coherence with proposed biochemical mechanisms.
This analysis describes eighteen selected report pairs. Assessing causes, tissue deficiency or enzyme activity requires additional clinical and experimental evidence.
Patterns in data
Each example pairs one Oligoscan report with one Theriome Aristotle Plus report. Seventeen Theriome reports were supplied as PDFs. Example 4 was an early vendor-supplied CSV. The prepared data contain 42 direct Oligoscan rows and 296 direct Theriome analyte rows per example: 6,084 direct observations in total, with three unavailable numerical scores. A further 415 inferred cofactor scores are available separately.
Aluminium - all eighteen Oligoscan tool outputs flag aluminium as elevated. Scores range from 44.1 in Example 17 to 79.8 in Example 16. These values use the tool's metal scoring scale.
Silicon - all eighteen Oligoscan outputs flag silicon as Low, with deviation scores from -47.6% to -25.2%. More negative silicon scores tend to accompany higher aluminium scores: Spearman rank correlation -0.79 across these eighteen reports.
Magnesium and ATP - all eighteen Oligoscan outputs label magnesium low. Fourteen Theriome outputs flag ATP as IR-LOW, Examples 7 and 18 flag it HIGH, Example 13 flags it IR-HIGH, and Example 10 has no ATP status flag.
NAD reference profiles - in all seventeen PDF reports, NADP is closer to its reference centre than NAD, while NADPH is further below its reference centre. This pattern recurs across the seventeen sets of source scores.
Example 4 - reported use of sublingual NAD+ and NAG adds potential confounding to its NAD and sugar-metabolite profile. Its CSV scoring method also differs from the PDF reports. These factors limit interpretation of its contrast with the other examples. A replacement PDF from the same original specimen has been requested to clarify the reporting-format difference. Supplement exposure remains relevant to interpretation.
The direct-marker comparison uses reported analyte rows. The tools' inferred NAD, NADP, NADPH and ATP deficiency scores are available separately in the explorer. These derived scores depend on the observations used to calculate them.
For more on the potential causes and impact of these patterns, see remineralisation and toxic metals.
Other recurring marker patterns
The following comparisons use direct analyte rows from the seventeen Theriome PDF reports. Here, low flags combine LOW and IR-LOW; high flags combine HIGH and IR-HIGH. These are the tool's classifications. An unflagged result retains its reported score and has no source status flag.
Biotin - carries an IR-LOW flag in all seventeen PDF reports, with z-scores ranging from -0.81 to -0.53.
5-Hydroxytryptophan - carries an IR-LOW flag in all seventeen PDF reports, with z-scores ranging from -0.74 to -0.59.
Fructose - fourteen of seventeen PDF reports carry a high flag. Examples 12, 13 and 17 are unflagged. Fifteen of seventeen scores are above the reference centre; Examples 12 and 13 are slightly below it.
Fructose 1,6-bisphosphate - sixteen of seventeen PDF reports carry a low flag. Example 7 is unflagged, with a z-score of +0.40. High fructose and low fructose 1,6-bisphosphate occur together in thirteen of seventeen reports.
N-Acetyl-D-galactosamine - all seventeen PDF scores are below the reference centre, with low flags in sixteen reports. Example 14 is unflagged, with a z-score of -0.49.
Uridine diphosphate-N-acetylglucosamine - all seventeen PDF scores are below the reference centre, with low flags in fifteen reports. Examples 12 and 17 are unflagged, at -0.46 and -0.45 z respectively. This marker and N-acetyl-D-galactosamine both carry low flags in fourteen of seventeen reports.
Mannose 6-phosphate - eleven of seventeen PDF reports carry high flags. Examples 6 and 16 carry low flags; Examples 8, 12, 14 and 18 are unflagged. The predominant direction is upward, with variation between examples.
Glutamic acid - eleven of seventeen PDF reports carry high flags. The other six, Examples 1, 3, 9, 12, 14 and 18, carry low flags.
Gamma-aminobutyric acid (GABA) - all seventeen PDF scores are below the reference centre, ranging from -0.81 to -0.19 z. Fourteen reports carry an IR-LOW flag; Examples 11, 12 and 15 are unflagged. High glutamic acid and low GABA flags occur together in nine of seventeen reports.
Betaine and methionine - both carry an IR-LOW flag in all seventeen PDF reports. Betaine z-scores range from -0.81 to -0.62; methionine ranges from -0.75 to -0.54.
Creatine - all seventeen PDF scores are below the reference centre, ranging from -0.77 to -0.15 z, with a median of -0.59. Twelve reports carry an IR-LOW flag; Examples 6, 8, 11, 14 and 17 are unflagged.
Phosphocreatine - all seventeen PDF scores are below the reference centre, ranging from -0.67 to -0.49 z. Sixteen reports carry an IR-LOW flag; Example 13 is unflagged at -0.49 z. Creatine and phosphocreatine show a shared downward pattern. Establishing impaired synthesis requires additional evidence.
Example 4's CSV also flags biotin and 5-hydroxytryptophan low. It flags glutamic acid high and GABA, betaine and methionine low. Creatine is flagged HIGH at +543.1% on its CSV reference-based scale; phosphocreatine is IR-LOW at -69.6%. Its low fructose and high N-acetyl-D-galactosamine contrast with the predominant PDF directions. Its different scoring method and reported supplement exposure need to be considered together.
Urea-cycle-related markers
Arginine, citrulline, ornithine, aspartate and fumarate participate in the urea cycle. Their direct scores in the seventeen PDF reports show the following patterns.
Arginine and citrulline - each carries low flags in nine of seventeen PDF reports. Arginine scores are below the reference centre in fifteen reports; Example 15 is HIGH at +1.40 z, and seven reports are unflagged, including Example 18 at +0.45 z. Citrulline scores are below the reference centre in fourteen reports; Examples 14 and 18 are IR-HIGH at +0.77 and +0.79 z respectively. Six reports are unflagged, including Example 6 at +0.20 z.
Ornithine and aspartate - ornithine carries an IR-LOW flag in nine of seventeen PDF reports, with eight unflagged results and no high flags. Eleven scores are below the reference centre, five above it and one at zero. Aspartate carries an IR-LOW flag in eight reports. It has twelve scores below the reference centre, eight unflagged results and an IR-HIGH flag in Example 16 at +0.89 z.
Fumaric acid - fourteen PDF reports are unflagged. Examples 6 and 16 carry IR-HIGH flags and Example 7 is HIGH. Eleven scores are below the reference centre, with no low flags.
Example 4's CSV flags arginine, citrulline, ornithine and aspartate low; fumaric acid is unflagged. Urea, ammonia and argininosuccinate are absent from the prepared dataset. Assessing urea-cycle flux or ammonia clearance requires additional measurements and clinical context.
Explore the paired data
Select an example to follow its NAD pathway profile, inspect individual markers and their peaks or troughs, or compare grouped heatmaps. Marker summaries are calculated within their source scoring group, with separate summaries for CSV and PDF direct scores.
Data analysis controls
Direct report values and inferred scores stay separate. Example 4 uses a different Theriome scoring method.
NADP formation and redox handling
NAD kinase phosphorylates NAD+ to NADP+ using ATP. Magnesium-dependent activity has been demonstrated in human NAD kinase preparations. A distinct mitochondrial NAD kinase also exists. These findings provide a biochemical basis for examining magnesium, ATP, NAD and NADP together. Williams and Jones, 1985; Ohashi and colleagues, 2012.
Two questions guide this comparison: whether the marker pattern is compatible with constraints on NADP formation, and whether NADP/NADPH findings are compatible with altered reduction or consumption. Both require several markers and relevant clinical context. NADPH metabolism is compartmentalised; resolving cytosolic and mitochondrial processes requires compartment-specific methods. Lewis and colleagues, 2014.
Examples 7 and 18 combine high ATP with low Oligoscan magnesium. Example 8 combines IR-LOW ATP with a NADP score of -0.11 z. These combinations help assess how well a proposed explanation accommodates variation across the examples.
Estimating NADPH:NADP concentration ratios, total NADP/NADPH pool size or NAD kinase activity requires suitable measurements, units and assay calibration. These inputs are unavailable in the prepared data.
Silicon and aluminium
Low silicon and elevated aluminium co-occur across all eighteen Oligoscan reports. The inverse rank association describes variation within this selected set of tool scores. Exposure history, diet, assay behaviour and other shared influences could contribute to it.
Silica chemistry provides a reason to examine these markers together. In a tracer study of three healthy volunteers, oligomeric silica reduced gastrointestinal aluminium uptake. The monomeric form showed no significant effect under the study conditions. Jugdaohsingh and colleagues, 2000.
Those findings concern chemical form and gut absorption. Applying this mechanism to the report pattern requires information about exposure, silicon form and independent measurements of aluminium handling. Both scores here come from the same Oligoscan report, so their association also requires validation with independent measurements.
Common patterns described in MPO
The following proposed patterns and mechanisms form the working interpretation framework for the Metabolic Pathway Overlay examples. Each requires assessment against the individual reports and supporting evidence. Mechanism-specific scoring is a future analysis step.
- Elevated toxic metals, with mineral and electrolyte deficiencies.
- A reduced total NADP/NADPH pool and impaired conversion of NADP to NADPH (low NADPH), with potentially broad effects. The reported exception is where aluminium is not elevated.
- Constraints on glycolysis and glycogen synthesis.
- Altered pyruvate and/or lactate levels.
- Constraints on the pentose phosphate pathway and downstream PRPP synthesis.
- Impairments in purine and pyrimidine metabolism.
- Oxidative stress.
- TCA cycle alterations and constraints.
- Issues with NAD+ synthesis and redox balance.
- Reduced carnitine synthesis and associated carnitine-shuttle constraints.
- Elevated glutamate relative to low GABA, except where severe malnutrition constrains glutamate synthesis.
- Issues with glutathione metabolism.
- Issues involving magnesium and Mg-ATP.
- Urea-cycle and nitric oxide synthase impairments, with potential effects on vascular tone.
- Dysregulated neurotransmitter synthesis and degradation.
- Impaired conversion of choline to betaine.
- Impaired methylation and associated SAMe, glycine, and cysteine metabolism.
- Impaired creatine synthesis.
Testing the exception in pattern 2 requires a comparison group with non-elevated aluminium; all eighteen examples here have elevated aluminium scores. Assessing the malnutrition exception in pattern 11 requires clinical nutritional information, which is unavailable. The proposed changes in pool size, pathway flux and enzyme activity also require further investigation.
How to read the scores
Theriome PDFs - the displayed score is the source z-score multiplied by 100, consistent with MPO's numerical convention. For example, -168 means z = -1.68, or 1.68 standard deviations below the reference centre. This explorer has its own labelled heatmap colour scale.
Example 4 CSV - the original tool-derived relative-abundance/reference score is retained and summarised separately from the PDF scores.
Oligoscan - mineral deviation scores, vitamin percentages and metal scores retain their source meanings. Each scale requires its own interpretation.
Inferred cofactors - rules applied to report observations generate these visual scores. Their clinical significance requires independent validation. Missing inferred rows remain unreported.
Missing data - unavailable scores appear as NA. Blank source status flags remain blank. Both retain an unspecified status in the comparison.
Limits of this comparison
The dataset contains eighteen selected pairs and lacks a healthy control group. Its population relevance is unknown. Collection dates, the interval between paired tests, specimen details, units and most clinical context are unavailable in the prepared data. Example 4 has reported exposure to sublingual NAD+ and NAG; doses and timing are not recorded here. Supplement use in the other examples is unspecified. Tissue and biochemical compartment differences remain unresolved.
Examples 1-10 retain their original prepared results. Examples 11-17 were processed with newer parser versions: Oligoscan 1.6.9 and Universal OAT 0.1.43, compared with 1.6.6 and 0.1.40 for the original batch. Example 18 uses Oligoscan 1.6.9 and Universal OAT 0.1.44. Parser versions are retained in the downloads; rule-derived comparisons may be affected by changes between versions.
There are many markers relative to the number of examples. Apparent correlations may be sensitive to individual cases, scoring conventions, selection and shared reference distributions. Analysis is limited to descriptive summaries. A direct-row label records the parser's classification; assay validity requires separate evaluation.
Pending
Resolve Example 4 - compare the replacement PDF with the retained vendor CSV from the same specimen, and review the timing and doses of the reported NAD+ and NAG use when interpreting its profile.
Describe marker coherence - compare direction, magnitude and variability within compatible scoring groups, retaining all exceptions and denominators.
Mechanism map and references - MPO already provides much of the mechanism mapping. A supporting table of references is in progress.
Assess concordance - show supporting observations, contradictions and missing evidence. Report mechanistic evidence, measurement relevance, coverage and sensitivity to individual examples separately.
The downloadable CSV and JSON contain the prepared de-identified observations, source scores and marker identities for future analyses.





