Evidence map›Paper›PMID 40292641›Full record

ReviewPolymers2025

Current Approaches in Cosmeceuticals: Peptides, Biotics and Marine Biopolymers.

Ulya Badilli, Ozge Inal

Abstract readReview
In one paragraph

Review in Polymers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Ulya BadilliDepartment of Pharmaceutical Technology, Faculty of Pharmacy, Ankara University, 06560 Ankara, Turkey.ORCID 0000-0002-4539-0618
Ozge InalDepartment of Pharmaceutical Technology, Faculty of Pharmacy, Ankara University, 06560 Ankara, Turkey.ORCID 0000-0001-7062-2591

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Today's consumer perception and expectations of personal care have gone beyond merely cleansing, moisturizing, and makeup products, focusing more on the reduction or elimination of signs of aging. Cosmeceuticals, developed to create a more youthful appearance, commonly contain substances with therapeutic and physiological effects. The development of cosmeceutical products containing peptides, biotic ingredients, and marine-based compounds has become a highly popular strategy to enhance anti-aging effects and better address consumer demands. Peptides are frequently used in anti-aging products due to their effects on enhancing fibroblast proliferation and collagen synthesis, contributing to the skin's barrier function, and reducing skin pigmentation. Meanwhile, biotic components are extensively evaluated for their potential to improve barrier function by maintaining the balance of the skin microflora. On the other hand, the increasing interest of cosmetic consumers in natural and eco-friendly products, along with the rich biodiversity in the oceans and seas, has made marine-derived substances highly significant for the cosmetic industry. Marine polysaccharides are particularly valuable as biopolymers, offering useful properties for gel formation in cosmetic formulations. This review discusses scientific studies and commercially available products using peptides, biotic and marine-based compounds in cosmetic formulations, their cosmetic and cosmeceutical benefits, and the challenges in the formulation design of these products.

Indexed as

bioactive agentsbiopolymersbioticscosmetic productmarine ingredientsnatural compoundspeptides

Identifiers

PMID40292641
PMCPMC11946782

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.