Background: A significant correlation exists between type 2 diabetes mellitus (T2DM) and chronic kidney disease (CKD), where up to 40% of diabetic patients suffer from CKD as a direct result of diabetic complications. Management of diabetes in CKD patients can be challenging due to their need for disease-specific diets, as well as increased risks of complications due to malnutrition, which is why their dietary needs and nutritional requirements necessitate attention to detail, and have to be assessed and tailored according to the patient’s needs. Objectives: This systematic review aimed to assess nutritional requirements for type 2 diabetes mellitus patients with chronic renal failure. Methods: In this review, 85 articles were screened, and 22 articles were then analyzed and selected as per the study criteria. PRISMA guidelines were used to select and screen the articles. Data search included a PubMed search using MeSH terms, and a literature review through the Cochrane library and the British Medical Journal. Results: The study highlighted the important nutrients and minerals needed to be maintained within a specified range in accordance with the patient’s needs and conditions. In addition, dietary restrictions must be set to prevent disease progression and deterioration. Dietary intake in hemodialysis patients must be carefully calculated based on their needs, with tight monitoring of their blood glucose. Protein intake in hemodialysis patients should be determined based on risk-to-benefit ratios. Conclusion: Dietary requirements should be individualized based on the patient’s disease severity and progression. Assessment of the patient’s previous and current diet, as well as matching it with their dietary requirements and preferences is crucial.

Quercetin is a well-known flavonoid with a significant in vitro anticancer effect and low toxicity profile. Despite of that, its clinical use is still limited because of its low solubility, bioavailability, and instability in physiological conditions. The aim of this study was to develop and optimize stable quercetin nanoparticles targeting tumor cells within the body. Quercetin nanoparticles were synthesized using solvent emulsification technique using zein, beta-cyclodextrin, and pectin at different concentrations. The prepared formulations were optimized using factorial response surface analysis. The stability of the optimized quercetin nanoparticles in conditioned media, obtained from subculture of colorectal cancer cell line HCT-116, was compared to the stability of the free drug powder over 24 h. Moreover, the cytotoxic effect of Quercetin powder and the optimized Quercetin nanoparticles were evaluated against two colorectal cancer lines (HT-29, and HCT116), using MTT assay, under normoxic conditions. Annexin-V/FITC apoptotic assay was used to detect the number of cells that underwent apoptosis using flow cytometry. The optimized formulation was composed of 10 mg of zein and 31.35 mg beta-cyclodextrin, with no pectin. It had particle size of 221 nm, polydispersity index of 0.115, zetapotential of 7.65 mV. The stability of the optimized quercetin nanoparticles in the conditioned media of HCT-116 was significantly higher than the free drug powder over 24 h. In HT-29, the optimized nanoparticles and the free drug had IC50 of 29.33 µM and 60.78 µM, respectively. In HCT-116, optimized nanoparticle and the free drug had IC50’s 31.11 µM and 59.20 µM, respectively. The flow cytometric analysis after annexin-V/FITC staining showed that treatment with the optimized quercetin nanoparticles significantly induced total apoptosis in the two colorectal cancer lines (HT-29 and HCT 116) when compared to the free drug and plain nanoparticles. In conclusion, the optimized quercetin nanoparticles were found to be capable of increasing drug stability in physiological fluids as well as increasing its cytotoxic effect in two colorectal cancer cell lines by apoptosis induction when compared to the drug in powder form as well as plain nanoparticles. Citation Format: Nourhan Khaled Hassan, Eman El-labbad, Jayalakshmi jagal, Mohamed Haider, Ibrahim El-sayed. Statistical optimization of stable Quercetin nanoparticles for tumor targeting [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 824.