Evidence review

Plant vs animal protein: 18 long-term trials, no difference

Eighteen randomised trials of 6 to 31 months found no difference between plant and animal protein on lean mass, strength or cardiometabolic markers. What that changes in a protein specification.

PrimeChemical Science Desk 08 Oct 2026 12 min read Evidence-based · PubMed cited
Analytical laboratory bench with chromatography equipment, of the kind used to run amino acid profiles on protein raw materials.
Analytical laboratory bench with chromatography equipment, of the kind used to run amino acid profiles on protein raw materials.
What the evidence says
  • Across 18 randomised trials lasting 6 to 31 months, plant protein did not differ from animal protein on any of 18 outcomes — lean mass, fat mass, strength, physical performance, lipids, blood pressure or glycaemia.
  • Lean body mass: SMD 0.26 (95% CI −0.58 to 0.90). Wide enough to contain a meaningful advantage for either source.
  • This is mostly soy versus dairy: 17 of 18 trials used soy, 13 used under 30 g/day, and only 3 added exercise.
  • Certainty is low for body composition and very low for every strength and performance outcome. “No difference detected” is not equivalence.

Protein source is the oldest argument in sports nutrition, and almost all of it has been settled over eight to twelve weeks. A systematic review published in Frontiers in Nutrition in 2026 asked a narrower question: once a trial runs six months or longer, does the source still matter? It pooled 18 randomised controlled trials and 1,893 adults, with interventions of 6 to 31 months, and found nothing. Not a small effect — no effect, on any of the 18 outcomes examined.

A null result is a weak basis for a marketing line and a useful basis for a specification. If the source does not move the outcome over the long run, what a brand buys from an ingredient supplier is quantity, composition, and the method that proves both. That is a documentation question, and it is where this paper earns its keep for anyone writing a purchase spec for a multi-source protein system.

What the review compared

PubMed, Scopus and Web of Science were searched to 25 February 2025: 4,229 records, 3,379 screened after de-duplication, 43 read in full, 18 included. Trials had to be randomised, in adults, with a plant protein concentrate or isolate against an animal one, for at least six months. Protocol registered on PROSPERO (CRD42024604240).

The included trials were published between 1998 and 2021, with 10 to 158 participants each, aged 23 to 74, all parallel and double-blind. Seventeen of the 18 intervention arms used soy protein and one used rice. Controls used milk protein (9), whey (7), casein (1) and casein plus milk (1). Daily doses ran from 8 to 45 g, with 13 trials below 30 g. Fourteen trials enrolled women only, mostly peri- or postmenopausal. Three included exercise.

0/18outcomes where plant protein differed from animal protein
18 trials, 1,893 adults, 6 to 31 months

Eighteen outcomes, no separation

Pooled standardised mean differences were null across the board. The figure carries the 15 outcomes with usable intervals. Lean body mass came out at 0.26 (95% CI −0.58 to 0.90), fat mass 0.16 (−0.58 to 0.90), total body mass 0.37 (−0.33 to 1.07). Three outcomes sit outside the chart: fasting insulin 0.12 (−0.16 to 0.40) and HOMA-IR 0.18 (−0.10 to 0.46), from two trials each, and total cholesterol, printed as −0.38 with an interval of −0.55 to 0.13 — not symmetric around its own estimate. We reproduce it as published.

A · Muscle and body compositionLean body mass (7 trials)0.26 (−0.58 to 0.90)Fat mass (6 trials)0.16 (−0.58 to 0.90)Total body mass (8 trials)0.37 (−0.33 to 1.07)Upper-body strength (4 eff.)−0.88 (−1.99 to 0.22)Lower-body strength (3 eff.)2.54 (−1.07 to 6.14)Gait speed (3 eff.)0.00 (−0.34 to 0.34)Timed up-and-go (3 eff.)−0.74 (−1.78 to 0.30)Chair-stand test (2 eff.)0.75 (−1.01 to 2.52)SPPB (3 trials)−0.22 (−0.67 to 0.24)−2−10123B · Cardiometabolic markersLDL cholesterol (7 trials)−0.34 (−0.87 to 0.19)HDL cholesterol (7 trials)−0.08 (−0.69 to 0.52)Triglycerides (7 trials)−0.15 (−0.41 to 0.12)Systolic BP (4 trials)−0.13 (−0.40 to 0.13)Diastolic BP (4 trials)−0.10 (−0.30 to 0.10)Fasting glucose (3 trials)0.24 (−0.32 to 0.79)−2−10123Standardised mean difference (SMD), plant vs animal protein← favours animal proteinfavours plant protein →
Fifteen pooled outcomes, none of them separated. Every interval crosses zero, so no marker is filled. Read the width, not the position: panel B is tight around zero, panel A is wide enough to hide a real effect either way. The lower-body strength interval runs to 6.14 and is clipped at the axis.Data: Yimam et al., Frontiers in Nutrition 2026 · Chart: PrimeChemical Corp.

The two panels do not say the same thing. The cardiometabolic estimates sit close to zero with narrow intervals: a real absence of effect. The muscle and function estimates are null because they are imprecise. Lower-body strength pools three effect sizes with I² of 98.6% and spans −1.07 to 6.14 — an interval that wide excludes nothing. Panel A does not say the sources are the same. It says these trials cannot tell them apart.

Subgroups by age, dose, study quality, duration and exercise moved nothing. Two signals appeared only in secondary analysis: a triglyceride reduction confined to participants aged 60 and over, and small blood-pressure reductions that surface when single trials are removed. The authors call both exploratory. So do we.

Why shorter reviews disagree

Shorter syntheses of the same question have reported an advantage for dairy. The difference is follow-up length and comparator, not study quality.

Review Comparison and length Pooled result, lean mass
Yimam 2026 Plant vs animal, 18 RCTs, 6–31 months SMD 0.26 (95% CI −0.58 to 0.90); null on all 18 outcomes
Li 2026 Eight sources vs placebo, 36 RCTs, network Whey +1.24 kg (95% CrI 0.61 to 1.87); soy +0.55 kg (−0.15 to 1.25)
Piri Damaghi 2021 Soy vs whey, 10 RCTs, 596 adults Whey +0.91 kg (95% CI 0.15 to 1.67); soy not significant

Different estimators: Yimam and Piri Damaghi compare sources head to head, Li compares each source against placebo in a network. They are not interchangeable.

The 2026 review explains itself, and it is the most useful sentence in the paper. Among trials reporting baseline intake, habitual protein was already around 1.27 g/kg/day (range 0.89 to 1.85), and only three trials added a training stimulus. People who already eat enough protein and do not train have little headroom to show a source effect. The equivalence is conditional on that context.

What it means for a formulator

1. When the source stops being the variable, the assay becomes the product. If two sources behave alike at adequate intake, what a buyer pays for is the declared quantity — and that is only as good as the method behind it. Kjeldahl and Dumas measure nitrogen, not protein. EU labelling defines protein as total Kjeldahl nitrogen × 6.25 (Annex I, Reg. (EU) 1169/2011), while the dairy-specific factor is 6.38, so a multi-source blend specified against one factor will not declare what it contains. Nitrogen is also cheap to buy: a spec that stops at “≥80% protein” cannot separate protein nitrogen from free amino acid nitrogen. What makes that testable on goods-in is an amino acid profile by HPLC with an acceptance criterion per amino acid, free amino acids declared separately from total, and a stated deviation limit against the expected profile of the source mix.

Label figures are claims, not measurements. A 2025 validation study measuring creatine and taurine in commercial sports supplements by qNMR found deviations from label claim of up to +65.97% for creatine and +141.52% for taurine, while batch-to-batch variability within a product stayed at or below 8.49%. Different category, same lesson: consistency between batches says nothing about whether the batches are right.

2. The equivalence is dosed, and the dose was low. Thirteen of the 18 trials used under 30 g/day, the range started at 8 g, and almost none involved training. That supports substituting a source in a maintenance context. It does not support the claim that a 25 g sports serving built on soy isolate performs like one built on whey. For a training or clinical serving, the design target is leucine per serving — a composition parameter, not a percentage. Two blends declaring identical protein can deliver different leucine. Set the WPC / MPI / soy isolate ratio against an amino acid target and verify it per lot.

3. Two Annex II allergens arrive inside one purchased ingredient. A blend of whey concentrate, milk protein isolate and soy isolate carries both milk and soy, two of the 14 substances in Annex II of Reg. (EU) 1169/2011. Article 21 requires each to be named and typographically emphasised in the finished product's ingredient list; the trade name of a protein system does not discharge that, and the allergen declaration is a separate document from the certificate of analysis. One more parameter hides here: the authors attribute part of the exploratory blood-pressure signal to soy isoflavones, and isoflavone content is controlled by no protein-content specification. If a formulation depends on it, specify and measure it on its own. These are the documents to ask for when you request a specification.

Regulatory note Reg. (EU) 432/2012 authorises three protein claims — protein contributes to a growth in muscle mass, to the maintenance of muscle mass, and to the maintenance of normal bones — each conditional on the food being at least a source of protein, meaning at least 12% of the energy value comes from protein; high protein requires at least 20% (Annex to Reg. (EC) 1924/2006). These are claims about the nutrient, not its origin: no authorised claim states that plant or animal protein is superior, and nothing in this review supports one. The claim belongs to the finished product and to the food business operator placing it on the market, not to the ingredient supplier.

Where this evidence is weak

The title says plant versus animal; the data say soy versus dairy. Seventeen of 18 intervention arms used soy and every control arm used a dairy fraction, so the review says almost nothing about pea, rice, potato or fava protein. One rice trial is not a basis for generalising.

Precision is the larger problem. I² exceeded 85% for nine outcomes and reached 98.6% for lower-body strength. Under GRADE, all five strength and physical-performance outcomes were rated very low certainty, body composition and most lipid outcomes low, and only HDL and blood pressure moderate. Risk of bias was low in 8 trials, of some concern in 8, high in 2. The LFK index flagged small-study effects for most outcomes, though estimates adjusted by Rücker's limit method stayed null — the reassuring part of that finding.

Two further caveats. The trials skew heavily towards peri- and postmenopausal women, so the population is not the one most sports formulations are sold to. And seven of the eight authors list an affiliation with a food company research centre. The conclusion is a null result, the least convenient direction for a commercial interest to push, but the affiliation belongs on the record.

One reporting inconsistency is worth flagging: the lean body mass interval is given as −0.58 to 0.90 in the text and −0.68 to 1.21 in the forest plot caption. We used the text figure. Either way, an absence of detected difference at this width is not evidence of equivalence. The question is still open — which is the argument for choosing a protein system on specification, analytical method and documentation rather than on whichever source the literature currently flatters.

Related reading
  1. Protein blends vs whey: what a 2026 network meta-analysis says — Whey ranked first for lean mass across 36 randomised trials; the blend node ranked fifth of seven on three trials.
  2. Whey protein for sarcopenia: 235 trials, 20,980 older adults — A network meta-analysis of 235 trials ranks whey first for muscle mass — and shows why the ranking is not the effect size to plan a specification around.
  3. Creatine, protein, omega-3: what 35 trials rank for what — A 2026 network meta-analysis of 35 randomised trials in 1,211 trained athletes ranked creatine first for strength, protein for endurance and omega-3 for recovery. No supplement won twice.
  4. Creatine for adults over 55: what 8 trials actually show — Eight randomised trials in 482 older adults: 0.29 SMD in lower-body strength and 0.27 in lean tissue mass, with nothing demonstrable upper-body.
  5. Creatine after menopause: what a 2026 meta-analysis of seven trials actually shows — Seven trials in 608 postmenopausal women: +0.37 kg lean mass and +7.5 kg leg-press 1RM, and only at 5 g/day with resistance training.
  6. Creatine for female athletes: 34 trials, small effects — Pooled across 21 trials, 170 outcomes and 424 training women: Hedges g = 0.23 (95 % CI 0.09–0.37), at very low GRADE certainty.
  7. Creatine and serum creatinine: what the 2026 evidence shows — Two 2026 meta-analyses agree creatine raises serum creatinine by about 0.14 mg/dL, while directly measured filtration did not change.
  8. Sugar reduction with sweeteners: what 14 trials show — Across 14 randomised trials, replacing sugar with sweeteners moved body weight by 0.73 kg, while glycaemic markers barely moved.
  9. Creatine and jump performance: 119 trials, fragile effects — A 2026 Bayesian network meta-analysis of 119 trials puts creatine at +2.26 cm in countermovement jump. Restricted to trials with a verifiable dose, the effect falls to 0.30 cm.
  10. Creatine and cognition: the claim the EU refused — A 2024 meta-analysis reported a memory effect for creatine. Its memory estimate pooled 1,000 participants from a review of 492. EFSA disagreed, and in 2026 the EU refused the claim.
  11. Protein plus exercise for sarcopenia: what 18 trials show — A 2026 network meta-analysis of 18 trials: protein added to exercise gave +0.39 SMD in grip strength, +0.18 in muscle mass, none in mobility. Very low certainty.
  12. Sweeteners and blood pressure: the comparator decides — Pooled over 18 trials, non-nutritive sweeteners lowered resting systolic pressure by 3.25 mmHg. The effect tracks the sugar they replace, not the sweetener.
  13. Protein and blood cholesterol: what 32 trials show — Across 32 trials, protein supplementation lowered LDL-cholesterol by 3.45 mg/dL. Small, fragile, and the EU authorises no cholesterol claim for protein.
References
  1. Yimam MA, Roberts J, O'Callaghan A, Holwerda A, Cassidy Y, Luiking Y, Van Helvoort A, Muscaritoli M. Long-term effects of plant vs. animal protein supplementation on body composition, muscle strength, physical performance, and cardiometabolic risk factors in adults: a systematic review and meta-analysis of randomized controlled trials. Front Nutr. 2026;13:1813846. DOI · PMID 41994089
  2. Li Y, Qin G, Wang Z, Zhang J. Comparative efficacy of protein supplementation on lean mass: a Bayesian network meta-analysis with dose–response modelling. Front Nutr. 2026;13:1860234. DOI · PMID 42625626
  3. Piri Damaghi M, Mirzababaei A, Moradi S, Daneshzad E, Tavakoli A, Clark CCT, Mirzaei K. Comparison of the effect of soya protein and whey protein on body composition: a meta-analysis of randomised clinical trials. Br J Nutr. 2021;127(6):885–895. DOI · PMID 33971994
  4. Van der Merwe R, Otto DP, Liebenberg W, Lemmer HJR, van der Kooy F. Development and validation of a qNMR method for the simultaneous quantification of creatine and taurine in sports supplements. Pharmazie. 2025;80(11):118–121. DOI · PMID 41491394

Study records and abstracts retrieved from PubMed, a service of the US National Library of Medicine. Full text of reference 1 was read via PubMed Central (PMC13078973). Figures for references 3 and 4 are taken from the indexed abstracts.

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