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Homoharringtonine is a natural alkaloid with significant pharmacological potential that has demonstrated promising efficacy in the treatment of hematological malignancies in recent years. This article systematically reviews the pharmacological mechanisms of Homoharringtonine, focusing on its key roles in inducing apoptosis, inhibiting cell cycle progression, and reducing cell migration and invasion. Additionally, HHT exhibits multiple biological activities, including immunomodulation, antiviral effects, and anti-fibrotic properties, with recent studies also revealing its potential neuroprotective functions. In clinical trials, Homoharringtonine has demonstrated promising efficacy in the treatment of hematological malignancies, particularly in various types such as acute myeloid leukemia and chronic myeloid leukemia. Despite the significant antitumor effects observed in clinical applications, its low bioavailability and potential side effects remain major challenges that limit its widespread use. This article details the latest research advancements aimed at enhancing the bioavailability of Homoharringtonine, including various drug delivery systems such as nanoparticles and liposomes, as well as chemical modification strategies. These approaches not only improve HHT's bioavailability but also enhance its targeting ability while reducing toxicity to normal cells. Furthermore, the combination of HHT with other drugs presents broader prospects for clinical treatment. By exploring the diverse pharmacological activities of Homoharringtonine in depth, this article aims to provide a foundation for developing novel therapeutic approaches based on natural products, thereby advancing HHT's application research in cancer treatment and other fields.
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http://dx.doi.org/10.3389/fonc.2025.1522273 | DOI Listing |
JMIR Res Protoc
September 2025
Department of Development & Environmental Studies, Palacký University Olomouc, Olomouc, Czech Republic.
Background: Children in low- and middle-income countries face obstacles to optimal language and cognitive development due to a variety of factors related to adverse socioeconomic conditions. One of these factors is compromised caregiver-child interactions and associated pressures on parenting. Early development interventions, such as dialogic book-sharing (DBS), address this variable, with evidence from both high-income countries and urban areas of low- and middle-income countries showing that such interventions enhance caregiver-child interaction and the associated benefits for child cognitive and socioemotional development.
View Article and Find Full Text PDFJMIR Res Protoc
September 2025
Department of Health Services Research & Administration, College of Public Health, University of Nebraska Medical Center, Omaha, NE, United States.
Background: With the availability of more advanced and effective treatments, life expectancy has improved among patients with metastatic breast cancer (MBC), but this makes communication with their medical oncologist more complex. Some patients struggle to learn about their therapeutic options and to understand and articulate their preferences. Mobile health (mHealth) apps can enhance patient-provider communication, playing a crucial role in the diagnosis, treatment, quality of life, and outcomes for patients living with MBC.
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September 2025
Department of Public Health, Erasmus MC University Medical Center, Rotterdam, The Netherlands.
Background: Various media are used to enhance public understanding about diseases. While mobile health apps are widely used, there is little proof for using such apps to raise awareness of skin diseases.
Objective: We intend to develop an app, called DEDIKASI-app, to raise awareness of skin diseases, including leprosy.
Nutr Health
September 2025
Independent researcher, Rome, Italy.
Artificial intelligence (AI) is increasingly applied in nutrition science to support clinical decision-making, prevent diet-related diseases such as obesity and type 2 diabetes, and improve nutrition care in both preventive and therapeutic settings. By analyzing diverse datasets, AI systems can support highly individualized nutritional guidance. We focus on machine learning applications and image recognition tools for dietary assessment and meal planning, highlighting their potential to enhance patient engagement and adherence through mobile apps and real-time feedback.
View Article and Find Full Text PDFJ Nephrol
September 2025
Division of Gastroenterology and Nephrology, Faculty of Medicine, Tottori University, Nishi-cho 36-1, Yonago, Tottori, 683-8504, Japan.
Background: Chronic kidney disease (CKD) is a public health concern; kidney size correlates with kidney function, except in diabetic kidney disease (DKD), where the kidney enlarges, limiting morphological measurement applications in CKD management. However, cortical size changes in DKD along with CKD progression remain understudied. We investigated kidney morphology alterations in patients with and without diabetes and established a regression equation for kidney function incorporating morphological alterations.
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