Peptide Science & Clinical Evidence

Peer-reviewed science, not guesswork.

Peptides are short chains of amino acids that act as cellular messengers within the body, supporting targeted biological pathways. RENEWED Pro arms reps with the full published library of AI-discovered, clinically investigated bioactive peptides — from cutaneous collagen signaling to muscle remodeling and inflammaging.

Bioactive peptide serum in luxury glass bottle with gold pipette

What makes bioactive peptides different?

Instead of just flooding the body with generic protein building blocks, Bioactive Precision Peptides™ target the underlying cell-to-cell communication networks.

SIGNAL

Peptides act as cellular messengers that bind specific receptors, telling fibroblasts to support collagen and elastin.

PRESERVE

Bioactive sequences balance tissue breakdown enzymes while promoting healthy structural resilience.

AI PRECISION

Computational proteome mining identifies the exact bioactive fragments in minutes that nature evolved over millennia.

★ Key Clinical StudyInt. Journal of Cosmetic Science · PMID: 32453870

The anti-ageing effects of a natural peptide discovered by artificial intelligence

Randomized 28-day proof-of-concept + human skin explants: Evaluates peptide pep_RTE62G (PeptiYouth™) unlocked from Pisum sativum via deep learning. Proved significant stimulation of extracellular matrix (ECM) neosynthesis of collagen and elastin, enhanced keratinocyte migration in wound-healing assays, and measurable anti-wrinkle efficacy.

K. Kennedy, R. Cal, R. Casey, C. Lopez, A. Adelfio, B. Molloy, A.M. Wall, T.A. Holton, N. Khaldi

View on PubMed ↗

Scientific Foundation

Backed by rigorous, peer-reviewed literature.

15+

Peer-Reviewed Studies

Published in leading journals

Patents Issued

Protecting bioactive sequences

860+

Years Combined Research

In silico & in vivo science

28-day

Clinical Proof of Concept

Cutaneous ECM activity

The Published Literature

◆

Peer-reviewed publications from Nuritas research.

Every peptide technology RENEWED reps present is rooted in peer-reviewed clinical trials, in vitro validation, and AI discovery papers published in leading international journals.

Int'l J. Cosmetic Sci.

International Journal of Cosmetic Science·2020, Vol. 42 (PMID: 32453870)PeptiYouth™

The anti-ageing effects of a natural peptide discovered by Artificial Intelligence

Authors: Kathy Kennedy, Roi Cal, Rory Casey, Cyril Lopez, Alessandro Adelfio, Brendan Molloy, Audrey M Wall, Thérèse A Holton, Nora Khaldi

Key Finding: Randomized proof-of-concept 28-day clinical study + human skin explants demonstrating that AI-discovered peptide pep_RTE62G significantly stimulates ECM neosynthesis of collagen and elastin, keratinocyte migration, and anti-wrinkle cellular vitality.

Peer-reviewed science, not guesswork.

What makes bioactive peptides different?

SIGNAL

PRESERVE

AI PRECISION

The anti-ageing effects of a natural peptide discovered by artificial intelligence

Backed by rigorous, peer-reviewed literature.

Peer-reviewed publications from Nuritas research.

The anti-ageing effects of a natural peptide discovered by Artificial Intelligence

pep_35E7UW, a natural peptide with cutaneous anti-ageing effects discovered within the Oryza Sativa proteome through machine learning

Randomised, double-blind, placebo-controlled study to evaluate the effect on human strength and endurance after resistance training and supplementation of Vicia faba protein hydrolysate compared with placebo

Improved Strength Recovery and Reduced Fatigue with Suppressed Plasma Myostatin Following Supplementation of a Vicia faba Hydrolysate, in a Healthy Male Population

Vicia faba Peptide Network Supplementation Does Not Differ From Milk Protein in Modulating Changes in Muscle Size During Short-Term Immobilization and Subsequent Remobilization, but Increases Muscle Protein Synthesis Rates During Remobilization in Healthy Young Men

Characterising the efficacy and bioavailability of bioactive peptides identified for attenuating muscle atrophy within a Vicia faba-derived functional ingredient

Preclinical Evaluation of a Food-Derived Functional Ingredient to Address Skeletal Muscle Atrophy

Artificial Intelligence in Functional Food Ingredient Discovery and Characterisation: A Focus on Bioactive Plant and Food Peptides

An Artificial-Intelligence-Discovered Functional Ingredient, NRT_N0G5IJ, Derived from Pisum sativum, Decreases HbA1c in a Prediabetic Population

Discovery through Machine Learning and Preclinical Validation of Novel Anti-Diabetic Peptides

Artificial intelligence identified peptides modulate inflammation in healthy adults

An artificial intelligence characterised functional ingredient, derived from rice, inhibits TNF-α and significantly improves physical strength in an inflammaging population

Unlocking a Potent Antimicrobial Peptide from a Common Pea

Preservatives from food – For food: Pea protein hydrolysate as a novel bio-preservative against Escherichia coli O157:H7 on a lettuce leaf

Human milk and infant formulae: peptide differences and the opportunity to address the functional gap

The honest line reps never cross.

Ingredient-level research

Structure / Function language

Individual patient results

Ready to translate this science into practice?