Early detection system of risk factors for diabetes mellitus type 2 utilization of machine learning-random forest.

BACKGROUND: The prevalence of morbidity and mortality for type 2 diabetes mellitus (DM) is still increasing because of changing lifestyles. There needs to be a means of controlling the rise in the incidence of the disease. Many researchers have utilized technological advances such as machine learning for disease prevention and control, especially in noncommunicable conditions. Researchers are, therefore, interested in creating an early detection system for risk factors of type 2 diabetes. MATERIALS AND METHODS: The study was conducted in February 2022, utilizing secondary surveillance data from Puskesmas Johar Baru, Jakarta, in 2019, 2020, and 2021. Data was analyzed utilizing various bivariate and multivariate statistical methods at 5% significance level and machine learning methods (random forest algorithm) with an accuracy rate of >80%. The data for the three years was cleaned, normalized, and merged. RESULTS: The final population was 65,533 visits out of the initial data of 196,949, and the final number of DM 2 population was 2766 out of the initial data of 9903. Age, gender, family history of DM, family history of hypertension, hypertension, high blood sugar levels, obesity, and central obesity were significantly associated with type 2 DM. Family history was the strongest risk factor of all independent variables, odds ratio of 15.101. The classification results of feature importance, with an accuracy rate of 84%, obtained in order were age, blood sugar level, and body mass index. CONCLUSION: Blood sugar level is the most influential factor in the incidence of DM in Puskesmas Johar Baru. In other words, a person with a family history of type 2 diabetes, at unproductive age, of female gender, and of excessive weight can avoid type 2 diabetes if they can regularly maintain their blood sugar levels.

Anti-inflammatory and antiaging properties of chlorogenic acid on UV-induced fibroblast cell.

BACKGROUND: Skin aging is the most common dermatological problem caused by intrinsic and extrinsic factor, such as exposure to (ultraviolet) UV rays. Chlorogenic acid (CA) is a phenolic compound which is known for its antioxidant properties against oxidative stress. OBJECTIVE: This study investigates the antiaging and anti-inflammatory properties of CA on UV-induced skin fibroblast cells. METHODS: Anti-inflammatory properties of CA were assessed by measuring inflammatory-related proteins IL-1ß and TNF-α, while antiaging properties of CA were assessed by measuring reactive oxygen species (ROS), apoptosis, live and necrotic cells, and COL-3 gene expression level. RESULTS: Treating UV-induced skin fibroblast cells with CA decreased the level of ROS, IL-1ß, TNF-α, apoptotic cells, and necrotic cells and increased live cells and COL-3 gene expression. CONCLUSION: CA has the potential as the protective compound against inflammation and aging by decreasing the level ROS, pro-inflammatory cytokines IL-1ß and TNF-α, apoptotic cells, and necrotic cells and by increasing live cells and COL-3 gene expression.

Hepatotoxicity prevention in Acetaminophen-induced HepG2 cells by red betel (Piper crocatum Ruiz and Pav) extract from Indonesia via antioxidant, anti-inflammatory, and anti-necrotic.

Acetaminophen (APAP) is a widely used analgesic, but it may cause liver injury (hepatotoxicity) via oxidative stress that induced by N-acetyl-p-benzoquinone imine (NAPQI) in long term usage or overdose. Multiple inflammatory mediators were also found to contribute for this effect. Many medicinal plants was known for its antioxidant and anti-inflammatory activities and one of them is Red betel (Piper crocatum Ruiz and Pav) from Indonesia. In this study, the red betel leaves extract (RBLE) protective effect against APAP-induced HepG2 cells was determined. APAP-induced HepG2 as hepatotoxicity cell model was treated with RBLE at 25 and 100 µg/mL. Protective effects of RBLE toward hepatotoxicity were evaluated by several parameters: tumor necrosis factor-α (TNF-α) concentration, reactive oxygen species (ROS) level, live cells percentage, apoptotic cells percentage, necrotic cells percentage, death cells percentage, CYP2E1 and GPX gene expression. The RBLE treatments (both 25 and 100 µg/mL) increased CYP2E1 and GPX gene expression also live cells percentage, while decreased ROS level, TNF-α concentration, also the percentage of death and necrotic cells. Red Betel leaves ethanol extract has hepatoprotective effect via anti-inflammatory, anti-necrotic, and antioxidant potency in liver injury model.

Anti-aging Effects of Mangosteen Peel Extract and Its Phytochemical Compounds: Antioxidant Activity, Enzyme Inhibition and Molecular Docking Simulation.

Skin aging is a complex natural process characterised by gradual diminishment of structural integrity and physiological imbalance of the skin tissue. Since the oxidative stress is tightly corelated to the skin aging process, the usage of antioxidant may serve as favourable strategies for slowing down the skin aging process. Mangosteen is an important fruit commodity and its extract had been extensively studied and revealing various biological activities. Present study aimed to assess the antioxidant and antiaging activity of mangosteen peel extract (MPE) and its phytochemical compounds. MPE and its compounds were subjected to ferric reducing antioxidant power (FRAP), hydroperoxide (H2O2) scavenging, anti-collagenase, anti-elastase, anti-hyaluronidase and anti-tyrosinase assay. MPE has the highest FRAP 116.31 ± 0.60 µM Fe(II) µg-1 extract, IC50 of MPE on H2O2 scavenging activity was 54.61 µg mL-1. MPE also has the highest anti elastase activity at IC50 7.40 µg mL-1. Alpha-mangostin showed potent anti-collagenase activity (IC50 9.75 µg mL-1). While gamma-mangostin showed potent anti-hyaluronidase (IC50 23.85 µg mL-1) and anti-tyrosinase (IC50 50.35 µg mL-1). MPE and its compounds were evaluated in vitro for antioxidant and antiaging activities. Current findings may provide scientific evidence for possible usage of mangosteen extract and its compounds as antioxidant and antiaging agent.

Hepatoprotective properties of red betel (Piper crocatum Ruiz and Pav) leaves extract towards H2O2-induced HepG2 cells via anti-inflammatory, antinecrotic, antioxidant potency.

BACKGROUND: Prolonged exposure of free radicals, or known as reactive oxygen species (ROS), in hepatic cells may cause oxidative stress. Without proper treatment, it can induce liver injury and fatal hepatic disease, including cirrhosis. Red betel (Piper crocatum Ruiz and Pav) is one of Indonesia's medicinal plants that has been known to exhibit antioxidant, anti-inflammatory activities. This study aims to determine hepatoprotective effect of red betel leaves extract (RBLE) towards liver injury. METHOD: Hydrogen peroxide-induced HepG2 cells were used as liver injury model·H2O2-induced HepG2 cells were treated with 25 µg/mL and 100 µg/mL RBLE. Several parameters were observed, including TNF-α level through ELISA; necrotic, apoptotic, dead, live cells; and ROS level through flow cytometry analysis; and GPX gene expression through qPCR. RESULT: The study showed that treatment with RBLE were able to decrease TNF-α level; necrotic and death cells percentage; as well as ROS level. On the other hand, it were able to increase apoptotic and live cells percentage; as well as GPX gene expression. Low concentration (25 µg/mL) of RBLE treatment exhibited stronger anti-inflammatory activity as it was resulted in the lower TNF-α level and were able to switched hepatic cell death pathway from necrosis to apoptosis as shown by the shifted of apoptotic cells and necrotic cells percentage. This lead to lower death cells and ultimately improve live cells percentage. Meanwhile high concentration of RBLE (100 µg/mL) exhibited stronger antioxidant properties as indicated by lower ROS level and higher GPX gene expression. CONCLUSION: Overall, this study was able to demonstrate hepatoprotective effect of RBLE towards liver injury model through its anti-inflammatory and antioxidant activities.

Effect of Conditioned Medium from IGF1-Induced Human Wharton's Jelly Mesenchymal Stem Cells (IGF1-hWJMSCs-CM) on Osteoarthritis.

BACKGROUND: Osteoarthritis (OA) is a chronic disease that attacks joints and bones which can be caused by trauma or other joint diseases. Stem cell and Conditioned Medium (CM) of stem cells are developed for OA therapy, which is minimally invasive. It can decrease inflammation and be a replacement for knee surgery. This study aimed to utilize human Wharton's Jelly-Mesenchymal Stem Cells (hWJMSCs) as an alternative OA therapy. METHODS: CM from hWJMSCs induced by IGF1 was collected. The OA cells model (IL1ß-CHON002) culture was treated as follows: 1) with hWJMSCs-CM 15% (v/v); 2) with hWJMSCs-CM 30% (v/v); 3) with IGF1-hWJMSCs (IGF1-hWJMSCs-CM) 15% (v/v); 4) with IGF1-hWJMSCs-CM 30% (v/v). Parameters including inflammatory cytokines (IL10 and TNFα), extracellular matrix degradation (MMP3 expression), and chondrogenic marker (COL2 expression) were determined. RESULTS: The most significant increase in COL2 chondrogenic markers was found in IL1ß-CHON002 treatment using 15% CM of hWJMSCs induced with IGF1. CM of hWJMSCs can reduce inflammatory cytokines (TNFα and IL10) and matrix degradation mediator MMP3. Better result was gained from IGF1-induced hWJMSCs-CM. CONCLUSION: CM of IGF1-hWJMSCs reduce inflammation while repairing injured joint in the human chondrocyte OA model.