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Training

Glycogen-Depletion Workouts (Training Low): When They Help, When They Backfire

1-2 weekly zone-2 sessions performed with depleted glycogen amplify the AMPK and PGC-1α signal 2-3× vs. fed sessions, driving stronger mitochondrial adaptation. But train-low impairs intensity during the session and risks immune compromise if overdone. The rule: train low at easy intensity, race high.

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The published evidence on train-low protocols: 2-3- the molecular signal for mitochondrial biogenesis, replicated across multiple controlled trials. P

Educational journalism, not medical advice. Every claim here is checked against its cited sources by editor Tim Bunce — a health writer, not a physician. It isn’t specific to your situation: for health decisions, talk to your own clinician. How we work →

The 60-second version

“Train low” protocols — deliberately performing some training sessions with depleted muscle glycogen — have a growing evidence base for enhancing endurance adaptations beyond what equivalent volume with normal carb availability produces. The published mechanism is that low-glycogen sessions amplify the AMPK and PGC-1α signalling cascades that drive mitochondrial biogenesis and fat oxidation. The practical implementation: 1-2 zone-2 sessions per week performed either fasted (morning, before breakfast) or after a glycogen-depleting evening workout the day before. The catch: training low impairs high-intensity performance during the depleted session and increases risk of immune compromise if overdone. The rule that emerged: train low at low intensity, race high (with full glycogen). Don’t train hard with depleted glycogen — the immune-suppression risk and reduced training quality outweigh the adaptation benefit at intensities above zone-2.

What the published evidence shows

Hansen 2005 was the first published controlled trial in trained endurance athletes. One leg was trained with full muscle glycogen (twice-daily protocol that didn’t deplete stores); the other leg performed the second daily session with depleted glycogen. After 10 weeks, the trained-low leg showed:

Subsequent trials (Yeo, Burke, Bartlett) have broadly replicated the cellular signalling findings. The molecular response to low-glycogen exercise is roughly 2-3 times the AMPK/PGC-1α signal of the same workout with normal glycogen Bartlett 2015.

How to actually train low

Cautions

Practical takeaways

The gap between cell signalling and the finish line

The most important caveat in this whole topic is one the early enthusiasm glossed over: a bigger molecular signal is not the same thing as a faster race. The cell-signalling story is genuinely strong — the “fuel for the work required” framework collated by Impey and colleagues found that commencing a session within a specific low range of muscle glycogen amplified the adaptive signal in roughly three-quarters of the studies they reviewed (augmented cell signalling in 73% of 11 studies, gene expression in 75% of 12, and oxidative-enzyme increases in 78% of 9) Impey 2018. But signalling is an intermediate marker. What an athlete actually cares about is the clock, and there the picture is far messier.

On the optimistic side sits the trial that put “sleep low” on the map. Marquet and colleagues randomised 21 trained triathletes to either a sleep-low protocol or a control group; both consumed an identical 6 g of carbohydrate per kilogram per day, differing only in when it was eaten. After three weeks, every athlete in the sleep-low group improved their 10-km run time (by an average of 73 ± 20 seconds) and their supramaximal cycling capacity, while the control group did not change Marquet 2016. That is an unusually clean result, and it is the single strongest piece of human performance evidence in favour of periodised carbohydrate.

The problem is that it has not reliably replicated in better-trained athletes. Gejl and colleagues ran a 4-week randomised trial in 26 elite male endurance athletes (mean V̇O2max 65 mL·kg·min) who layered carbohydrate restriction onto their normal training three days a week. Both groups improved — V̇O2max rose 5%, muscle glycogen rose 18%, citrate-synthase activity rose 11% — but the changes were essentially identical whether or not carbohydrate was periodised. The authors concluded bluntly that periodic carbohydrate restriction had “no superior effects on performance and muscle adaptations in elite endurance athletes” Gejl 2017. When the same group later pooled the field in a systematic review and meta-analysis of nine trials (about 140 athletes), the combined performance effect was small and non-significant (standardised mean difference 0.17; 95% CI −0.15 to 0.49; p = 0.29). Their summary judgement: the evidence that carbohydrate periodisation enhances endurance is “weak,” and “train-low is not per se associated with enhanced endurance” Gejl & Nybo 2021.

Reading those side by side, the honest position is: train-low reliably turns up the adaptive signalling dial, it may translate to faster racing in sub-elite athletes who are not already maximally adapted (as in Marquet), and it has so far failed to beat ordinary fuelled training in already-elite athletes. It is a plausible marginal-gains tool, not an established performance multiplier — and anyone selling it as guaranteed free speed is reading the mechanism studies and ignoring the outcome studies.

What the immune-system risk actually is — and isn't

The frequently repeated warning that train-low “suppresses immunity” deserves a more careful reading than it usually gets, because the best-controlled study of the sleep-low protocol found the opposite of a dramatic effect. Louis and colleagues tracked 21 trained triathletes through three weeks of nine twice-daily sessions a week, half of them done with reduced glycogen. White-blood-cell counts, plasma cortisol and salivary interleukin-6 did not change meaningfully; the incidence of upper-respiratory-tract infections was unchanged and low in both groups; and sleep was barely affected. Salivary IgA (a mucosal-immunity marker) dipped slightly in the sleep-low group, but the overall conclusion was that sleeping and training with reduced glycogen had “minimal effects” on immunity and sleep — crucially, provided total daily carbohydrate and energy intake stayed adequate Louis 2016.

That conditional clause is the whole point. The genuine danger of train-low is not the individual depleted session; it is using “train low” as cover for chronically under-eating. When low carbohydrate availability is paired with low overall energy availability and sustained over weeks, it stops being a training stimulus and becomes a driver of Relative Energy Deficiency in Sport (REDs). The 2023 International Olympic Committee consensus statement — built on more than 170 new studies since 2018 — explicitly flags low carbohydrate availability as an emerging contributor to REDs, a syndrome that impairs bone health, endocrine and reproductive function, metabolic rate, mood and, eventually, performance itself in both female and male athletes Mountjoy 2023. In other words, the immune-suppression headline is a symptom of a larger problem: train-low becomes hazardous precisely when it slides into under-fuelling. Keep the day's total carbohydrate and energy targets intact, restrict only the timing around one or two sessions, and the immune signal in the controlled data is small. Let total intake fall, and you are no longer periodising carbohydrate — you are starving your training.

A cleaner decision rule, and who should skip it

The most useful reframing to come out of this literature is Impey and colleagues’ “fuel for the work required” principle: instead of eating a fixed high-carbohydrate diet every day, match carbohydrate to the specific demand of the next session, and reserve the low-glycogen state for easy work where glycogen is not the limiting fuel Impey 2018. The practical translation is a simple if-then: if the session is long and easy (zone 2, technique, recovery), it is a candidate to perform low; if the session has any quality — intervals, threshold, race-pace, a hard group ride — it should be fully fuelled, because the meta-analytic evidence is clear that low carbohydrate availability blunts the intensity you can hold in peak intervals, and losing that intensity can cost you the very adaptations the hard session exists to drive Gejl & Nybo 2021. This is the evidence-based version of the gym-floor maxim “train low, race high”: protect quality and competition with carbohydrate, and confine depletion to sessions that genuinely don’t need it.

Some people should not experiment with train-low at all, or should only do so under professional supervision. Anyone with a current or past eating disorder, disordered-eating tendencies, or a history of REDs should avoid deliberately training in an under-fuelled state — the protocol normalises exactly the behaviour they need to move away from, and the IOC framework treats prior low-energy-availability exposure as a key moderating risk factor Mountjoy 2023. People with diabetes or on glucose-lowering medication should not train fasted or glycogen-depleted without medical guidance, given the hypoglycaemia risk. Adolescents and masters athletes, pregnant or breastfeeding athletes, and anyone with low bone-mineral density have more to lose from any drift toward energy deficiency than they stand to gain from a marginal mitochondrial signal. And recreational exercisers chasing general health or weight management simply don’t need it — train-low is a periodisation tool aimed at squeezing oxidative adaptations out of athletes already doing high training volumes, not a fat-loss hack. If any of these apply to you, the sensible move is to discuss it with a sports physician or accredited sports dietitian before changing how you fuel, rather than copying a protocol designed for healthy, well-trained, well-monitored competitors.

References

Hansen 2005Hansen AK, Fischer CP, Plomgaard P, Andersen JL, Saltin B, Pedersen BK. Skeletal muscle adaptation: training twice every second day vs. training once daily. J Appl Physiol. 2005;98(1):93-99. View source →
Bartlett 2015Bartlett JD, Hawley JA, Morton JP. Carbohydrate availability and exercise training adaptation: too much of a good thing? Eur J Sport Sci. 2015;15(1):3-12. View source →
Impey 2018Impey SG, Hearris MA, Hammond KM, Bartlett JD, Louis J, Close GL, Morton JP. Fuel for the Work Required: A Theoretical Framework for Carbohydrate Periodization and the Glycogen Threshold Hypothesis. Sports Med. 2018;48(5):1031-1048. doi:10.1007/s40279-018-0867-7 View source →
Marquet 2016Marquet LA, Brisswalter J, Louis J, Tiollier E, Burke LM, Hawley JA, Hausswirth C. Enhanced Endurance Performance by Periodization of Carbohydrate Intake: "Sleep Low" Strategy. Med Sci Sports Exerc. 2016;48(4):663-672. doi:10.1249/MSS.0000000000000823 View source →
Gejl 2017Gejl KD, Thams LB, Hansen M, Rokkedal-Lausch T, Plomgaard P, Nybo L, Larsen FJ, Cardinale DA, Jensen K, Holmberg HC, Vissing K, Ørtenblad N. No Superior Adaptations to Carbohydrate Periodization in Elite Endurance Athletes. Med Sci Sports Exerc. 2017;49(12):2486-2497. doi:10.1249/MSS.0000000000001377 View source →
Gejl & Nybo 2021Gejl KD, Nybo L. Performance effects of periodized carbohydrate restriction in endurance trained athletes – a systematic review and meta-analysis. J Int Soc Sports Nutr. 2021;18(1):37. doi:10.1186/s12970-021-00435-3 View source →
Louis 2016Louis J, Marquet LA, Tiollier E, Bermon S, Hausswirth C, Brisswalter J. The impact of sleeping with reduced glycogen stores on immunity and sleep in triathletes. Eur J Appl Physiol. 2016;116(10):1941-1954. doi:10.1007/s00421-016-3446-3 View source →
Mountjoy 2023Mountjoy M, Ackerman KE, Bailey DM, et al. 2023 International Olympic Committee's (IOC) consensus statement on Relative Energy Deficiency in Sport (REDs). Br J Sports Med. 2023;57(17):1073-1097. doi:10.1136/bjsports-2023-106994 View source →

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