Daily Cosmetic Research Analysis

Smart materials for tissue engineering have been in extensive use for few decades now. This work delves into the exploration of ultrasound-stimulated piezoelectric and antibacterial silk-based composite films as a pioneering strategy to guide the differentiation of human mesenchymal stem cells into osteogenic lineage without the application of any exogenous growth factors. The study evaluates the biocompatibility and antibacterial attributes of these films, which incorporates Barium Titanate nanoparticles (BTNPs) along with Zinc Oxide nanoparticles for obtaining high piezo modulated stimuli response and antibacterial properties. Further, to enhance the piezoelectric capability, a novel calcium doped Barium Titanate (BCTs) nanoparticles were synthesized and incorporated in silk based films with ZnO. The choice of using calcium as a doping material allows to increase its piezoelectric potential and retain its biocompatibility. The results reveal that, under the influence of ultrasound stimulation, these composite films respond to mechanical cues like low frequency ultrasound stimulations to facilitate lineage-specific differentiation of the seeded human mesenchymal stem cells. Ultrasound stimulations being wireless avoid complicated wired electric circuits and are also known to activate calcium channels in the cells which aids osteogenesis. Significantly, our findings exhibit the profound potential of these films to exploit the piezoelectric properties of BCTs, effectively enhancing the differentiation trajectories of stem cells. Furthermore, their demonstrated antibacterial capacities underscore their pivotal role in infection prevention, an important facet in the domains of tissue engineering and medical implantation. This study strongly suggests the utility of ultrasound-stimulated silk-based composite films in advancing the frontiers of regenerative medicine and tissue engineering.

Tyrosinase plays a crucial role as an enzyme in the production of melanin, which is the pigment accountable for determining the color of the hair, eyes, and skin. Tyrosinase inhibitory peptides (TIPs), mainly designed to regulate the activity of the enzyme tyrosinase, are of interest in various domains, including cosmetics, dermatology, and pharmaceuticals, due to their potential applications in controlling skin pigmentation. To date, a few machine learning-based models have been proposed for predicting TIPs, but their predictive performance remains unsatisfactory. In this study, we propose an innovative computational approach, named TIPred-MVFF, to accurately predict TIPs using only sequence information. Firstly, we established an up-to-date and high-quality dataset by collecting samples from various sources. Secondly, we applied a multi-view feature fusion (MVFF) strategy to extract and explore probability and category information embedded in TIPs, employing several machine learning (ML) algorithms coupled with different commonly used sequence-based feature encodings. Then, we employed resampling approaches to address the class imbalance issue. Finally, to maximize the utility of each feature, we fused probability-based and sequence-based features, generating more informative feature that were used to develop the final prediction model. Based on the independent test, experimental results showed that TIPred-MVFF outperformed several conventional ML classifiers and existing methods in terms of prediction accuracy and robustness, achieving an accuracy of 0.937 and a Matthew's correlation coefficient of 0.847. This new computational approach is anticipated to aid community-wide efforts in rapidly and cost-effectively discovering novel peptides with strong tyrosinase inhibitory activities.

Ultraviolet-B (UVB) causes oxidative stress, which is implicated in skin damage and photoaging. Antioxidant peptides exhibit protective effects against UVB-induced oxidative stress and are thus regarded as potential competitors compared to synthetic antioxidants for cosmetics. In the present study, we provided a discovery pipeline for screening and modifying marine-derived antioxidant peptides, and successfully identified and characterized three novel modified peptides (WP5, LW5 and YY6) with strong antioxidant abilities. Their scavenging activities on 2,2'-azinobis-(3-ethylbenzthiazoline-6-sulphonate) radical (ABTS·) and hydroxyl radical (·OH) were higher than those of glutathione (GSH) (ABTS·: 71.12 ± 3.58 %, 67.63 ± 1.65 % and 68.51 ± 0.54 % by WP5, LW5 and YY6, respectively, vs 61.51 ± 1.02 % by GSH; ·OH: 52.15 ± 1.99 %, 51.25 ± 1.29 % and 53.06 ± 2.23 % by WP5, LW5 and YY6, respectively, vs 42.69 ± 1.18 % by GSH). The modified peptides can effectively penetrate cell membrane and significantly enhance cell viability against UVB-induced oxidative stress in human keratinocyte (HaCaT) cells by reducing the levels of reactive oxygen species and malondialdehyde and increasing the activity of intracellular antioxidant enzymes, including superoxide dismutase and glutathione peroxidase. Additionally, the modified peptides decreased the expression of tumor necrosis factor-α, interleukin-6 and interleukin-1β in UVB-induced cell inflammatory response, exhibiting a potent anti-inflammatory activity. Further investigation into the molecular mechanism revealed that the modified peptides not only decreased cell apoptosis by down-regulating the apoptosis factors Bax/Bcl-2 and c-PARP, but also increased the antioxidant capacity of HaCaT cells by interrupting the interaction between Kelch-like ECH associated protein 1 (Keap1) and nuclear factor erythroid 2-related factor 2 (Nrf2), and ultimately promoting Nrf2 activation. The findings suggest a promising strategy for accelerating the discovery of antioxidant peptides and cell-penetrating peptides, providing valuable insights for pharmaceutical and cosmetic industries.