Genomic-driven nutritional interventions for radiotherapy-resistant rectal cancer patient

Review Biochemistry & Molecular Biology

Plant-Derived Bioactive Compounds in Colorectal Cancer: Insights from Combined Regimens with Conventional Chemotherapy to Overcome Drug-Resistance

Laura Ioana Gavrilas et al.

Summary: This review highlights the impact of combination regimens using conventional chemotherapeutics and well-tolerated plant-derived bioactive compounds on acquired drug resistance in colorectal cancer.

BIOMEDICINES (2022)

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Review Nutrition & Dietetics

Chemoprevention effect of the Mediterranean diet on colorectal cancer: Current studies and future prospects

Asma Ismail Mahmod et al.

Summary: This review aims to explore the anti-inflammatory and anti-colorectal cancer potential of natural bioactive compounds derived from the main foods in the Mediterranean diet.

FRONTIERS IN NUTRITION (2022)

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Article Nutrition & Dietetics

Effects of Syringic Acid on Apoptosis, Inflammation, and AKT/mTOR Signaling Pathway in Gastric Cancer Cells

Jinjin Pei et al.

Summary: This study evaluated the effects of syringic acid on gastric cancer cell line (AGS) in terms of cytotoxicity, oxidative stress, mitochondrial membrane potential, apoptosis, and inflammatory responses. Results indicated that syringic acid exhibited anti-cancer activities by impacting mitochondrial membrane potential, cell viability, and intracellular ROS.

FRONTIERS IN NUTRITION (2021)

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Article Multidisciplinary Sciences

Identification of disease treatment mechanisms through the multiscale interactome

Camilo Ruiz et al.

Summary: This study introduces a multiscale interactome approach to explain disease treatment by integrating disease-perturbed proteins, drug targets, and biological functions into a network. Through a random walk-based method, the authors successfully predict drug-disease treatment, identify proteins and functions related to treatment, and predict genes influencing treatment efficacy and adverse reactions. The results show that drugs often treat diseases by influencing disrupted biological functions rather than directly targeting disease proteins, providing a general framework for understanding treatment mechanisms.

NATURE COMMUNICATIONS (2021)

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Article Multidisciplinary Sciences

Very long-chain fatty acids are accumulated in triacylglycerol and nonesterified forms in colorectal cancer tissues

Kotaro Hama et al.

Summary: This study found that VLCFA accumulated in TAG and nonesterified forms in CRC tissues, with levels of VLCFA-TAG significantly correlated with the expression of ELOVL1. Inhibition of ELOVL1 decreased levels of VLCFA-TAG and nonesterified VLCFA, suggesting that upregulation of ELOVL1 contributes to the accumulation of VLCFA in CRC tissues.

SCIENTIFIC REPORTS (2021)

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Correction Biochemistry & Molecular Biology

The STRING database in 2021: customizable protein-protein networks, and functional characterization of user-uploaded gene/measurement sets (vol 49, pg D605, 2021)

Damian Szklarczyk et al.

NUCLEIC ACIDS RESEARCH (2021)

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Proceedings Paper Computer Science, Interdisciplinary Applications

Exploiting Food Embeddings for Ingredient Substitution

Chantal Pellegrini et al.

Summary: The study presents two ingredient embedding models, Food2Vec and FoodBERT, as well as two multimodal representation models. The research finds that FoodBERT is best suited for substitute recommendations in dietary use cases.

HEALTHINF: PROCEEDINGS OF THE 14TH INTERNATIONAL JOINT CONFERENCE ON BIOMEDICAL ENGINEERING SYSTEMS AND TECHNOLOGIES - VOL. 5: HEALTHINF (2021)

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Article Genetics & Heredity

Predicting anticancer hyperfoods with graph convolutional networks

Guadalupe Gonzalez et al.

Summary: This study used unsupervised and supervised algorithms to predict cancer-beating molecules within food. By representing each drug as a graph and using a graph neural network model, the model outperformed the baseline approach in predicting anticancer therapeutics. The model demonstrated the ability to capture biological pathway knowledge and showed interpretability.

HUMAN GENOMICS (2021)

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Article Genetics & Heredity

Network machine learning maps phytochemically rich Hyperfoods to fight COVID-19

Ivan Laponogov et al.

Summary: This study introduces a network machine learning method to identify potential bioactive anti-COVID-19 molecules in foods and construct a food map, providing important information for future clinical studies of precision nutrition interventions.

HUMAN GENOMICS (2021)

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Article Computer Science, Artificial Intelligence

Recipe1M+: A Dataset for Learning Cross-Modal Embeddings for Cooking Recipes and Food Images

Javier Marin et al.

Summary: This paper introduces Recipe 1M+, a large-scale corpus of cooking recipes and food images, and demonstrates how training neural networks on this data can improve image-recipe retrieval tasks. Regularization through the addition of a high-level classification objective not only enhances retrieval performance but also enables semantic vector arithmetic.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2021)

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Review Gastroenterology & Hepatology