98%
921
2 minutes
20
This review synthesises current research findings and modelling approaches to explore the impact of elevated atmospheric carbon dioxide (eCO) concentrations on crop productivity, water and nutrient use efficiency, plant nutritional quality, and the implications for global food security. Over recent decades, rising atmospheric CO levels have sparked significant concern due to their role in driving climate change. While some studies highlight the potential benefits of eCO, such as increased crop yields and improved water-use efficiency, many recent investigations reveal a concerning decline in crop nutritional quality. eCO has been shown to reduce concentrations of key nutrients, including nitrogen, minerals, vitamins, polyphenols, and other non-nutrient compounds, as well as alter gene expression. These changes are further complicated by interactions with heat stress and drought, presenting significant challenges in predicting sustainable future crop productivity. These nutritional declines exacerbate the global crisis of malnutrition and hidden hunger, threatening the achievement of Sustainable Development Goal 2 (SDG2), which aims to end hunger and ensure food security. Addressing these challenges requires further research, interdisciplinary collaboration, and innovative approaches to mitigate the adverse effects of eCO on crop physiology and nutritional content while maximising agricultural sustainability. This review aims to provide insights into the complex mechanisms governing crop responses to eCO using wheat as a model and proposes pathways for future research and agricultural practices. These strategies are critical for tackling the intricate dynamics of climate variability, ensuring nutrient-rich food production, and securing food security in the face of a rapidly changing climate.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12061828 | PMC |
http://dx.doi.org/10.1007/s44154-025-00217-w | DOI Listing |
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 PDFCurr Obes Rep
September 2025
Department of Medicine, Division of Endocrinology, University of Arizona, Tucson, AZ, USA.
Purpose Of The Review: This review aimed to summarize current evidence on the effectiveness of medical nutrition therapy (MNT) in the management of obesity and endometriosis, with a focus on dietary patterns such as the Mediterranean and Ketogenic diets, as well as nutritional supplementation. Additionally, it highlights the central role of the clinical nutritionist in implementing individualized, evidence-based interventions within multidisciplinary care.
Recent Findings: Although the literature reports the existence of an inverse relationship between risk of endometriosis and body mass index, clinical evidence jointly reports that a condition of obesity is associated with greater disease severity.
Anim Nutr
September 2025
National Center of Technology Innovation for Synthetic Biology, Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin 300308, China.
The purpose of this study was to explore the effects of changing the digestible energy (DE) level of the diet on the growth performance, intestinal function, carcass traits, meat quality and blood biochemical indices of Ningxiang pigs, and to comprehensively identify the lipid molecules in the abdominal fat of Ningxiang pigs through lipidomics technology to evaluate the pork quality. The experiment selected 225 castrated Ningxiang pigs (47.64 ± 0.
View Article and Find Full Text PDFCureus
August 2025
Department of Internal Medicine, Hamad Medical Corporation, Doha, QAT.
Peroneal neuropathy is a recognized cause for foot drop, typically following trauma, nerve damage, immobilization, or prolonged external pressure. Recently, rapid weight loss after bariatric surgery has been recognised as a potential cause for peroneal neuropathy. This may be due to the loss of protective fat tissue near the peroneal nerve, increasing its susceptibility to compression.
View Article and Find Full Text PDFFood Sci Biotechnol
October 2025
Department of Community Health Sciences, College of Applied Medical Sciences, King Saud University, P.O. Box 10219, 11433 Riyadh, Saudi Arabia.
This research study investigates the relationship between the structural characteristics, water solubility, and protein digestibility of quinoa proteins (QPs) during fermentation. The fermentation process induces structural modifications in QPs, thereby enhancing their surface properties and functional attributes. Using advanced analytical techniques, such as ultraviolet, fluorescence, and FT-IR spectra, it has been demonstrated that fermented QPs exhibit significant structural changes (P < 0.
View Article and Find Full Text PDF