SI New World Topic 01 · Running science and evidence

One run, your body’s chemical timetable

How 13 hormones and signalling molecules rise and fall during and after a run. Every curve is graded for evidence, and you can upload your own running records for a personal reading generated in your browser.

HyperNexus running science and practice Version 7, updated 29 September 2026Made with AI

One run, your body’s chemical timetable

How 13 hormones and signalling molecules rise and fall during a run and in the hours after it, drawn on one chart.The line style is the evidence: solid lines mean human measurements under similar conditions; dashed lines are estimates. Pick an intensity and a duration; further down you can also upload your own running records to get a personal reading in your browser.

Chemical changes during and after a run

Intensity
Duration
Vertical axis

Solid: human time course under similar conditions Dashed: extrapolated or illustrative Dots: measurements from the literature, hover to see Hatched: no human time course, not drawn ABCEvidence grade

Reading the chart

    Literature anchors for this scenario

      “Relative response”: each substance is scaled so that its largest response across this page’s scenarios is 100, so substances cannot be compared with each other; to compare sizes, switch to “Fold change”. Falls in insulin and testosterone are drawn below the baseline, where the scale is tighter than above it.

      After the run: 72 hours to a week

      Follows the scenario chosen above. The horizontal axis is time after the run (log scale). Solid bars mean human measurements, outlined bars are estimates, hatching means unknown.

      Long-term adaptation: weeks to years

      One by one

      What each substance is, how it changes during a run and what to watch for. The letter is the evidence grade: A means several human studies or meta-analyses agree, B means fewer or mixed human studies, C means mainly animal studies, conference abstracts or inference.

      Lab tests for runners

      Many of the “arrows” on a runner’s check-up report are left by the runs of the previous days. First tell the shadows of training apart, then decide what is worth re-testing.

      TestTypical deviationWhyWhat to do
      Creatine kinase (CK)Raised, up to several times the upper reference limitMuscle micro-damage: rises within 12 hours, peaks at 1–3 days and settles 3–5 days after it stopsNo long or hard runs in the 72 hours before the test; a very low CK-MB share points to skeletal rather than heart muscle
      Urea, uric acidRaisedMay be linked to dehydration, fasting or recent exerciseRe-test after normal drinking and rest
      Creatinine and eGFRCreatinine high, eGFR lowMuscle mass, recent exercise and dehydration all push creatinine upRe-test under standard conditions; if needed, add a urine albumin-to-creatinine ratio
      Urine specific gravity, urine ketonesHigher specific gravity, ketones positiveA long fast and no water in the morning concentrate the urineFasting is not the same as not drinking: you may drink plain water before the blood test
      Urine proteinWeakly positiveTransient proteinuria after exercise is commonRe-test with a first-morning sample on a rest day
      Total bilirubinSlightly raisedMay be linked to long fasting and similarLook at the ratio of direct to indirect bilirubin; let a doctor judge
      hs-CRPRaised after a marathonPost-race inflammatory response, peaking at 24–72 hours and settling in about 3 daysRe-test at least a week after a big race

      Planning for a lab test

      • The 3 days before: Eat your normal staple foods, at least 150 g of carbohydrate a day, with normal activity. This is the standard requirement for an OGTT; cutting carbohydrate on purpose makes the result unrepresentative of your usual self.
      • The 72 hours before: No long runs and no high intensity.
      • The evening before: A normal dinner, then fast overnight (usually 8–14 hours); you may drink plain water.
      • On the day: Arrive early in the morning; no running, no coffee or tea, no smoking; sit quietly after the glucose drink during an OGTT.
      • If you are racing: Schedule the test before the race, or more than two weeks after it.

      Three blood-sugar tests every runner should know

      • A normal fasting result does not mean all is well. Compared with fasting glucose and HbA1c, the 2-hour OGTT glucose diagnoses more prediabetes and diabetes. In a Guangzhou cohort, 28% of Chinese people over 50 with type 2 diabetes had raised glucose only after the glucose load.
      • Without obvious symptoms of high blood sugar, a diagnosis needs two abnormal results: two different tests from the same blood draw, or two tests at different times. When the results disagree, repeat the one above its cut-off, and consider whether HbA1c may be distorted.
      • HbA1c reflects the most recent month for about half of its value. Iron deficiency can make it falsely high, and haemolysis or blood loss falsely low; a re-test within 90 days of a change in training will not show the full effect.
      • Two HbA1c results must differ enough to count: one study estimated the reference change value at about 9% (relative), about 0.6 percentage points near 6.5%.

      The above helps you read a lab report; it does not replace a doctor’s judgement.

      A real case: an amateur runner’s ten-year record

      Nearly ten years of phone-app records from one amateur runner: about 1,500 runs, about 14,000 km, including more than ten marathons and longer races.

      These records have no heart rate, so the chart on the right shows only monthly distance and 48-hour coverage: how many days in a month fell within 48 hours after a run, the window of raised muscle insulin sensitivity.

      Names, age, race results and other personally identifying details have been removed from the case, and it contains no health data.

      Three small experiments you can do yourself

      See what your run looks like

      Choose your running records and the page estimates your intensity structure, 48-hour coverage and distance “spikes”, then uses the same model as above to draw your typical run and the curve of any single run.Files are parsed only in your browser: nothing is uploaded or saved, and closing the page clears everything.GPS coordinates are used only to work out distance, then discarded.

      Step 1: choose your data

      Supported: FIT, GPX and TCX (single activities); activity-list CSV exported from Garmin, Strava and others; JSON with date, distance and duration fields (for example a Codoon export); and ZIP archives holding these files. When a single-activity file has heart rate, the curves use minute-by-minute heart rate.

      Step 2: check the settings (optional, more accurate)

      Heart-rate thresholds for training zones (advanced)

      The defaults are a rough conversion of the common three-zone model. If you have had a lactate or ventilatory threshold test, enter your measured values.

      How this chart is drawn

      Each substance is described by a simple kinetic model: during the run it moves towards a target set by intensity and duration, and after the run it falls back at its own clearance rate. Cortisol has an extra delay, so its peak comes after the finish. The model parameters are anchored to the human studies in the table below; anything beyond the anchors is drawn dashed.

      Intensity is expressed as a percentage of VO₂max: heart rate is converted with the Swain 1994 regression and pace with Daniels’ VDOT formula. The three intensity levels correspond to about 40%, 60% and 80% of VO₂max, exactly the three intensities at which Hill 2008 measured cortisol.

      SubstanceAnchoring studiesWhat it constrains
      Limitations
      • The curves combine many studies and are not anyone’s measurements; individual differences can be large.
      • Most study participants were young men. Women, older people and people of different training levels may respond differently: for example, women show a larger growth-hormone response, and older people may respond 4–7 times less.
      • Blood levels are not brain levels, especially for BDNF and β-endorphin.
      • Food and carbohydrate intake, temperature, altitude and sleep all change these curves; the model does not account for them.
      • The personal tool estimates intensity from heart rate or pace; heart-rate drift, heat and dehydration make intensity look higher.
      What changed since versions 5 and 6

        References