Guadalupe Gutiérrez-Esparza 1,2,* ,†, Mireya Martínez-García 3,† , Manlio F. Márquez-Murillo 2 , Malinalli Brianza-Padilla 3 , Enrique Hernández-Lemus 4,5,* and Luis M. Amezcua-Guerra 3,*

1 “Researcher for Mexico” Program under SECIHTI, Secretariat of Sciences, Humanities, Technology, and Innovation, Mexico City 08400, Mexico

2 Division of Diagnostic and Treatment Services, National Institute of Cardiology Ignacio Chávez, Mexico City 04510, Mexico; 该Email地址已收到反垃圾邮件插件保护。要显示它您需要在浏览器中启用JavaScript。

3 Department of Immunology, National Institute of Cardiology Ignacio Chávez, Mexico City 04510, Mexico; 该Email地址已收到反垃圾邮件插件保护。要显示它您需要在浏览器中启用JavaScript。 (M.M.-G.); 该Email地址已收到反垃圾邮件插件保护。要显示它您需要在浏览器中启用JavaScript。 (M.B.-P.)

4 Computational Genomics Division, National Institute of Genomic Medicine, Mexico City 14610, Mexico

5 Center for Complexity Sciences, Universidad Nacional Autónoma de México, Mexico City 04510, Mexico 

*Correspondence: 该Email地址已收到反垃圾邮件插件保护。要显示它您需要在浏览器中启用JavaScript。 (G.G.-E.); 该Email地址已收到反垃圾邮件插件保护。要显示它您需要在浏览器中启用JavaScript。 (E.H.-L.); 该Email地址已收到反垃圾邮件插件保护。要显示它您需要在浏览器中启用JavaScript。 (L.M.A.-G.)

† These authors contributed equally to this work.

Academic Editor: Motoyuki Iemitsu Received: 11 February 2025 Revised: 3 March 2025 Accepted: 6 March 2025 Published: 17 March 2025

Citation: Gutiérrez-Esparza, G.; Martínez-García, M.; Márquez Murillo, M.F.; Brianza-Padilla, M.; Hernández-Lemus, E.; Amezcua Guerra, L.M. Tlalpan 2020 Case Study: Enhancing Uric Acid Level Prediction with Machine Learning Regression and Cross-Feature Selection. Nutrients 2025, 17, 1052. https://doi.org/ 10.3390/nu17061052

Copyright: © 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/ licenses/by/4.0/)

Abstract: Background/Objectives: Uric acid is a key metabolic byproduct of purine degradation and plays a dual role in human health. At physiological levels, it acts as an antioxidant, protecting against oxidative stress. However, excessive uric acid can lead to hyperuricemia, contributing to conditions like gout, kidney stones, and cardiovascular diseases. Emerging evidence also links elevated uric acid levels with metabolic disorders, including hypertension and insulin resistance. Understanding its regulation is crucial for preventing associated health complications. Methods: This study, part of the Tlalpan 2020 project, aimed to predict uric acid levels using advanced machine learning algorithms. The dataset included clinical, anthropometric, lifestyle, and nutritional characteristics from a cohort in Mexico City. We applied Boosted Decision Trees (Boosted DTR), eXtreme Gradient Boosting (XGBoost), Categorical Boosting (CatBoost), and Shapley Additive Explanations (SHAP) to identify the most relevant variables associated with hyperuricemia. Feature engineering techniques improved model performance, evaluated using Mean Squared Error (MSE), Root-Mean-Square Error (RMSE), and the coefficient of determination (R²). Results: Our study showed that XGBoost had the highest accuracy for anthropometric and clinical predictors, while CatBoost was the most effective at identifying nutritional risk factors. Distinct predictive profiles were observed between men and women. In men, uric acid levels were primarily influenced by renal function markers, lipid profiles, and hereditary predisposition to hyperuricemia, particularly paternal gout and diabetes. Diets rich in processed meats, high-fructose foods, and sugary drinks showed stronger associations with elevated uric acid levels. In women, metabolic and cardiovascular markers, family history of metabolic disorders, and lifestyle factors such as passive smoking and sleep quality were the main contributors. Additionally, while carbohydrate intake was more strongly associated with uric acid levels in women, fructose and sugary beverages had a greater impact in men. To enhance model robustness, a cross-feature selection approach was applied, integrating top features from multiple models, which further improved predictive accuracy, particularly in gender-specific analyses. Conclusions: These findings provide insights into the metabolic, nutritional characteristics, and lifestyle determinants of uric acid levels, supporting targeted public health strategies for hyperuricemia prevention.

Keywords: uric acid; regression-based machine learning; feature selection; feature engineering; Mexico City; Tlalpan 2020 cohort

Zhi‑cheng Yang1,3, He Lin1 , Guo‑jun Liu2 , Hui Pan1 , Jun‑lu Zhu3 , Xiao‑hong Zhang3 , Feng Gao2 , Zhong Wang2 and Zhi‑hao Wang

*Correspondence: Zhi‑hao Wang 该Email地址已收到反垃圾邮件插件保护。要显示它您需要在浏览器中启用JavaScript。

1 Department of Geriatric Medicine & Laboratory of Gerontology and Anti‑Aging Research, Qilu Hospital of Shandong University, Jinan 250012, Shandong, China

2 Shandong Qilu Stem Cell Engineering Co., Ltd, Jinan 250012, Shandong, China

3 School of Nursing and Rehabilitation, Shandong University, Jinan 250012, Shandong, China

© The Author(s) 2025. Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-​nc-​nd/4.0/.

Abstract

Background Non-healing pressure ulcers impose heavy burdens on patients and clinicians. Cord blood mononu‑ clear cells (CB-MNCs) are a novel type of tissue repair seed cells. However, their clinical application is restricted by low retention and survival rates post-transplantation. This study aims to investigate the role of thermo-sensitive chitosan/ hydroxyethyl cellulose/glycerophosphate (CS/HEC/GP) hydrogel encapsulated CB-MNCs in pressure ulcer wound

Methods Pressure ulcers were induced on the backs of aged mice. After construction and validation of the charac‑ terization of thermo-sensitive CS/HEC/GP hydrogel, CB-MNCs are encapsulated in the hydrogel, called CB-MNCs@ CS/HEC/GP which was locally applied to the mouse wounds. Mouse skin tissues were harvested for histological and molecular biology analyses.

Results CB-MNCs@CS/HEC/GP therapy accelerated pressure ulcer wound healing, attenuated inflammatory responses, promoted cell proliferation, angiogenesis, and collagen synthesis. Further investigation revealed that CB MNCs@CS/HEC/GP exerted therapeutic effects by promoting changes in cell types, including fibroblasts, endothelial cells, keratinocytes, and smooth muscle cells.

Conclusion CB-MNCs@CS/HEC/GP enhanced the delivery efficiency of CB-MNCs, preserved the cell viability, and contributed to pressure ulcer wound healing. Thus, CB-MNCs@CS/HEC/GP represents a novel therapeutic approach for skin regeneration of chronic wounds.

Keywords Wound healing, Aged, Pressure ulcers, Cord blood mononuclear cells, Thermo-sensitive hydrogel

Ademilton Costa Alves † , Sergio Murilo da Silva Braga Martins, Jr. † , José Victor Trindade Belo, Mauro Victor Castro Lemos , Carlos Emanuel de Matos Chaves Lima, Carlos Drielson da Silva, Adrielle Zagmignan and Luís Cláudio Nascimento da Silva * 

Citation: Alves, A.C.; Martins, S.M.d.S.B., Jr.; Belo, J.V.T.; Lemos, M.V.C.; Lima, C.E.d.M.C.; Silva, C.D.d.; Zagmignan, A.; Nascimento da Silva, L.C. Global Trends and Scientific Impact of Topical Probiotics in Dermatological Treatment and Scientific Microorganisms 2024, 12, 2010. https://doi.org/10.3390/ microorganisms12102010 Academic Editor: Alex Galanis Received: 16 August 2024 Revised: 21 September 2024 Accepted: 24 September 2024 Published: 3 October 2024

Copyright: © 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/)

Laboratório de Patogenicidade Microbiana, Universidade CEUMA, São Luis 65075-120, MA, Brazil; 该Email地址已收到反垃圾邮件插件保护。要显示它您需要在浏览器中启用JavaScript。 (A.C.A.); 该Email地址已收到反垃圾邮件插件保护。要显示它您需要在浏览器中启用JavaScript。 (S.M.d.S.B.M.J.); 该Email地址已收到反垃圾邮件插件保护。要显示它您需要在浏览器中启用JavaScript。 (J.V.T.B.); 该Email地址已收到反垃圾邮件插件保护。要显示它您需要在浏览器中启用JavaScript。 (M.V.C.L.); 该Email地址已收到反垃圾邮件插件保护。要显示它您需要在浏览器中启用JavaScript。 (C.E.d.M.C.L.); 该Email地址已收到反垃圾邮件插件保护。要显示它您需要在浏览器中启用JavaScript。 (C.D.d.S.); 该Email地址已收到反垃圾邮件插件保护。要显示它您需要在浏览器中启用JavaScript。 (A.Z.) * Correspondence: 该Email地址已收到反垃圾邮件插件保护。要显示它您需要在浏览器中启用JavaScript。; Tel.: +55-(98)-9-8431-8133 † These authors contributed equally to this work.

Abstract: The skin plays a crucial role in maintaining homeostasis and protecting against external ag gressors. Recent research has highlighted the potential of probiotics and postbiotics in dermatological treatments and skincare. These beneficial microorganisms interact with the skin microbiota, modulate the immune response, and enhance the skin barrier, offering a promising therapeutic avenue for various skin conditions, such as acne, dermatitis, eczema, and psoriasis. This bibliometric study aims to analyze the global trends and scientific impact of topical probiotics in dermatology. By reviewing 106 articles published between 2013 and 2023, the study categorizes the applications of probiotics in wound healing, inflammatory skin diseases, and general skincare. The findings indicate a sig nificant increase in publications from 2021 onwards, attributed to the heightened focus on medical research during the COVID-19 pandemic. This study also identifies the most productive countries, institutions, and authors in this field, highlighting the importance of international collaborations. The results underscore the efficacy of probiotic-based topical formulations in improving skin health, reducing inflammation, and enhancing wound healing. This comprehensive analysis supports the development of new therapeutic strategies based on topical probiotics and encourages high-quality research in this promising area.

Keywords: topical probiotics; skin microbiome; wound healing; inflammatory skin diseases; skin care

Amy Forman Taub1,2 *

1 Institute Advanced Dermatology, A Forefront Dermatology Practice, Lincolnshire, IL, United States,

2 Department of Dermatology, Institute Northwestern University Medical School, Chicago, IL, United States

OPEN ACCESS EDITED BY Saranya Wyles, Mayo Clinic, United States REVIEWED BY Alessandra Magenta, Consiglio Nazionale delle Ricerche (CNR), Italy Krishna Vyas, Massachusetts General Hospital and Harvard Medical School, United States *CORRESPONDENCE Amy Forman Taub 该Email地址已收到反垃圾邮件插件保护。要显示它您需要在浏览器中启用JavaScript。 RECEIVED 04 June 2024 ACCEPTED 20 August 2024 PUBLISHED 15 October 2024 CITATION Taub AF (2024) Regenerative topical skincare: stem cells and exosomes. Front. Med. 11:1443963. doi: 10.3389/fmed.2024.1443963 COPYRIGHT

© 2024 Taub. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

Regenerative medicine and its offshoot, regenerative aesthetics, have been hot topics over the past 15  years. Studies with heterochronic parabiosis and others pointed to a circulating factor that could rejuvenate aging tissues. Stem cells are known to have regenerative powers, but they are difficult to extract, grow in culture or maintain. Exosomes (EVs), extracellular vesicles from 30 to 150 nm, have been discovered to be a primary form of communication between tissues. Using stem cell supernatants to generate desirable EVs has become a heralded treatment for aesthetic treatments. Preclinical studies with EVs show many benefits including improving the function of fibroblasts and healing wounds more rapidly. Clinical studies with EVs in aesthetics are very few. Thus, the excitement generated by EVs should be tempered with realism about the lack of available treatment products as well as the lack of scientific proof.

KEYWORDS skin, aesthetic, regenerative, stem cells, exosomes