Browse Articles

Effects of Paan Extracts on Periodontal Ligament and Osteosarcoma Cells

Venkatachalam et al. | Sep 20, 2018

Effects of Paan Extracts on Periodontal Ligament and Osteosarcoma Cells

In South Asian countries, the major cause of oral cancer is reported to be chewing paan, which is comprised of betel leaf daubed with slaked lime paste and areca nut. To investigate how paan may contribute to the onset of cancer, the authors treated two immortalized cell lines with extracts of betel leaf, areca nut, and lime and evaluated how these treatments affected cell proliferation and cell death. Initial results indicate that while betel leaf alone may inhibit cell growth, areca nut promoted cancer cell survival and proliferation, even when co-treated with betel leaf. These data suggest that areca nut could exacerbate the progression of oral cancer in humans.

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Effect of Manuka Honey and Licorice Root Extract on the Growth of Porphyromonas gingivalis: An In Vitro Study

Chandran et al. | Apr 11, 2018

Effect of Manuka Honey and Licorice Root Extract on the Growth of Porphyromonas gingivalis: An In Vitro Study

Chronic bad breath, or halitosis, is a problem faced by nearly 50% of the general poluation, but existing treatments such as liquid mouthwash or sugar-free gum are imperfect and temporary solutions. In this study, the authors investigate potential alternative treatments using natural ingredients such as Manuka Honey and Licorice root extract. They found that Manuka honey is almost as effective as commercial mouthwashes in reducing the growth of P gingivalis (one of the main bacteria that causes bad breath), while Licorice root extract was largely ineffective. The authors' results suggest that Manuka honey is a promising candidate in the search for new and improved halitosis treatments.

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Advancing pediatric cancer predictions through generative artificial intelligence and machine learning

Yadav et al. | Dec 21, 2024

Advancing pediatric cancer predictions through generative artificial intelligence and machine learning

Pediatric cancers pose unique challenges due to their rarity and distinct biological factors, emphasizing the need for accurate survival prediction to guide treatment. This study integrated generative AI and machine learning, including synthetic data, to analyze 9,184 pediatric cancer patients, identifying age at diagnosis, cancer types, and anatomical sites as significant survival predictors. The findings highlight the potential of AI-driven approaches to improve survival prediction and inform personalized treatment strategies, with broader implications for innovative healthcare applications.

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Herbal formulation, HF1 diminishes tumorigenesis: a cytokine study between MCF-7 and BM-MSCs.

Guru et al. | Apr 11, 2022

Herbal formulation, HF1 diminishes tumorigenesis: a cytokine study between MCF-7 and BM-MSCs.

The authors use HF-1, an herbal formation, on bone marrow derived cells as well as breast cancer cells to assess HF-1's ability to prevent tumorigenesis. As metastasis requires coordination of multiple cells in the tumor microenvironment, their findings that HF-1 augments cytokine expression such as VEGF & TGF-B show that HF-1 has potential application to therapeutics.

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Unveiling the wound healing potential of umbilical cord derived conditioned medium: an in vitro study

Vasal et al. | Jun 17, 2024

Unveiling the wound healing potential of umbilical cord derived conditioned medium: an <em>in vitro</em> study

Chronic wounds pose a serious threat to an individual’s health and quality of life. However, due to the severity and morbidity of such wounds, many pre-existing treatments are inefficient or costly. While the use of skin grafts and other such biological constructs in chronic wound healing has already been characterized, the use of umbilical cord tissue has only recently garnered interest, despite the cytokine-rich composition of Wharton’s jelly (cord component). Our current study aimed to characterize the use of an umbilical cord derived conditioned medium (UC-CM) to treat chronic wounds.

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Interleukin family (IL-2 and IL-1β) as predictive biomarkers in Indian cancer patients: A proof of concept study

Parthasarathy et al. | Apr 03, 2023

Interleukin family (IL-2 and IL-1β) as predictive biomarkers in Indian cancer patients: A proof of concept study
Image credit: National Cancer Institute

Here, recognizing that the immune response to cancer results in biomarkers that can be used to assess the immune status of cancer patients, the authors investigated the concentrations of key cytokines (TH1 and TH2 cytokines) in healthy controls and cancer patients. They identified significant changes in resting and activated cytokine profiles, suggesting that data of biomarkers such as these could serve as a starting point for further treatment with regard to a patient's specific immune profile.

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