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Record W7122384545 · doi:10.31579/2640-1045/228

Therapeutic Potential of Human Breast Milk–Derived Bioactive Components in the Management of Diabetic Foot Ulcers: A Translational Review and Modeled Clinical Evaluation

2025· article· W7122384545 on OpenAlexfundno aff
Rehan Haider, Zameer Ahmed

Bibliographic record

VenueEndocrinology and Disorders · 2025
Typearticle
Language
FieldMedicine
TopicWound Healing and Treatments
Canadian institutionsnot available
FundersUniversity of Calgary
KeywordsWound healingLactoferrinImmune systemClinical trialWound careDiabetic footChronic woundAntimicrobialDiabetic foot ulcer

Abstract

fetched live from OpenAlex

Diabetic foot ulcers (DFUs) represent one of the most challenging complications of diabetes mellitus, leading to delayed healing, recurrent infection, and lower-limb amputation if not effectively treated. Chronic inflammation, impaired angiogenesis, altered immune response, and microbial colonization collectively hinder wound repair in affected patients. Human breast milk is a complex biofluid enriched with bioactive proteins, antimicrobial peptides, growth factors, exosomes, and living immune cells. These components demonstrate regenerative and immunomodulatory potential that could theoretically support wound healing. This study synthesizes existing biochemical and clinical evidence on the wound-healing capabilities of breast milk–derived components—particularly lactoferrin, epidermal growth factor (EGF), transforming growth factor-β (TGF-β), immunoglobulin A (IgA), and milk-derived stem-cell exosomes. A mixed-methods translational framework is proposed, including a modeled clinical trial evaluating a topical wound gel formulated from purified breast-milk bioactive fractions. In the simulated clinical dataset (n=60; DFU duration >4 weeks), patients receiving topical lactoferrin/EGF gel demonstrated faster wound area reduction (58% improvement at 4 weeks) compared to standard dressing alone (32% improvement). Microbial colony counts decreased significantly in the intervention group (p<0.01). Qualitative inflammatory markers and granulation scores also improved. The findings suggest that human breast milk–derived molecules may serve as safe, biologically compatible agents to enhance wound healing processes in DFU patients. However, direct breastfeeding or consumption of raw milk by adults is not recommended due to infection and contamination risks. Instead, pharmaceutical extraction and clinical-grade formulation of bioactive compounds is advised. Further clinical trials are needed to confirm therapeutic efficacy, determine dose standardization, and assess regulatory pathways for medical-grade lactoferrin and EGF wound formulations.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.491
Threshold uncertainty score0.630

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.057
GPT teacher head0.383
Teacher spread0.326 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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