SynthesisStem cell research & therapy2025
Effectiveness of regenerative medicine for skin lightening and rejuvenation: a systematic review of extracellular vesicles and conditioned media.
Synthesis in Stem cell research & therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Bionic intelligent responsive barbed microneedles synergistically remodel the microenvironment for the treatment of refractory pigmentation disorders (melasma).Materials today. Bio · 2026Article
- Engineered platforms for melanogenesis research: Bridging synthetic biology, bioengineering, and biomimetics.Bioengineering & translational medicine · 2026Review
- Omic Profiling of Extracellular Vesicles from Two Cord-Related Sources Reveals Divergent Effects on Melanogenesis.Current issues in molecular biology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
AIMS AND
objectivesThis study aims to evaluate and summarize the efficacy and safety of extracellular vesicles (EVs) and conditioned media (CM) as emerging therapeutic approaches in regenerative medicine for skin rejuvenation and lightening.
methodsA systematic search was conducted up to September 19, 2024, using the PubMed, Scopus, and Web of Science databases. Keywords included "conditioned media," "secretome," "extracellular vesicles," "exosome," "rejuvenation," "lightening," and others. Studies were screened based on predefined inclusion criteria, followed by data extraction. Key extracted data included study design, population characteristics (mean age and range), intervention duration, comparisons, outcomes with statistical results, and adverse effects. The statistical methods applied in individual studies were documented to assess the validity of reported improvements.
resultsThis review included 19 studies with a total of 624 patients evaluating the efficacy and safety of EVs and CMs for skin lightening and rejuvenation. Among these, 21% investigated the effects of EVs, while 78% focused on CMs. The most commonly assessed skin parameters included wrinkles, pigmentation, spots, elasticity, and hydration. Various application methods were used, including topical administration, microneedling, and fractional laser therapy. Reported improvements included a 27.07% increase in skin elasticity (p < 0.05), over 10% reduction in wrinkles (p < 0.05), and more than 20% enhancement in hydration (p < 0.05). No serious adverse effects were reported, with only transient minor reactions such as erythema observed.
conclusionEVs and CMs appear to be safe and potentially effective for skin rejuvenation and lightening. However, further high-quality studies are required to confirm long-term safety, investigate variations in efficacy based on cell sources, and optimize application techniques for clinical use.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.