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Nutrient timing is a popular nutritional strategy that involves the consumption of combinations of nutrients--primarily protein and carbohydrate--in and around an exercise session. Some have claimed that this approach can produce dramatic improvements in body composition. It has even been postulated that the timing of nutritional consumption may be more important than the absolute daily intake of nutrients. The post-exercise period is widely considered the most critical part of nutrient timing. Theoretically, consuming the proper ratio of nutrients during this time not only initiates the rebuilding of damaged muscle tissue and restoration of energy reserves, but it Does So in a supercompensated fashion that enhances both body composition and exercise performance. Several researchers have made reference to an anabolic "window of opportunity" whereby a limited time exists after training to optimize training-related muscular adaptations. However, the importance - and even the existence - of a post-exercise 'window' can vary according to a number of factors. Not only is nutrient timing research open to question in terms of applicability, but recent evidence has directly challenged the classical view of the relevance of post-exercise nutritional intake with respect to anabolism. Therefore, the purpose of this paper will be twofold: 1) to review the existing literature on the effects of nutrient timing with respect to post-exercise muscular adaptations, and; 2) to draw relevant conclusions that allow practical, evidence-based nutritional recommendations to be made for maximizing the anabolic response to exercise.
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http://dx.doi.org/10.1186/1550-2783-10-5 | DOI Listing |
Front Pediatr
August 2025
Fetal Medicine Unit, St George's University Hospitals NHS Foundation Trust, University of London, London, United Kingdom.
Emerging evidence suggests a potential link between maternal SARS-CoV-2 infection during early pregnancy and the development of congenital heart defects (CHD) in offspring. Although vertical transmission of SARS-CoV-2 is rare, the virus has been associated with placental complications and increased maternal morbidity. Recent studies from China report increased rates of CHD and anomalies such as situs inversus when infection occurs during gestational weeks 4-6, a critical window for cardiac development.
View Article and Find Full Text PDFCureus
July 2025
Obstetrics and Gynecology, Vassar Brothers Medical Center, Poughkeepsie, USA.
A double true umbilical cord knot (TUCK) is a rare complication of pregnancy that is often missed on ultrasonography. The stricture caused by TUCK can lead to occlusion of fetal circulation, fetal asphyxia, and subsequent death. Despite these risks, there is a lack of evidence and no specific consensus on both antepartum and intrapartum management of TUCK.
View Article and Find Full Text PDFMaedica (Bucur)
June 2025
Department of Internal Medicine, ULS Viseu Dão-Lafões, Viseu, Portugal.
Exocrine pancreatic insufficiency (EPI) arises from a deficiency in pancreatic enzymes, leading to malabsorption and varied symptoms such as gastrointestinal discomfort, weight loss and steatorrhea. Though EPI commonly follows chronic pancreatitis or pancreatic surgery, its delayed onset is rarely discussed. We report a unique case of EPI manifesting 29 years after pancreaticoduodenectomy.
View Article and Find Full Text PDFPlants (Basel)
August 2025
Guangxi Key Laboratory of Plant Conservation and Restoration Ecology in Karst Terrain, Guangxi Institute of Botany, Guangxi Zhuang Autonomous Region and Chinese Academy of Sciences, Guilin 541006, China.
Priority effects-the phenomenon where early-arriving species influence the establishment, growth, and reproduction of later-arriving species during community assembly-play a critical role in determining the invasion success of exotic species. However, how priority effects are influenced by nitrogen (N) availability remains understudied. The invasive species has rapidly expanded its range in China over the past few years.
View Article and Find Full Text PDFSensors (Basel)
August 2025
Department of Biosystems Engineering, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan 4913815739, Iran.
The early determination of the type and severity of stresses caused by nutrient deficiency is necessary for taking timely measures and preventing a remarkable yield reduction. This study is an effort to investigate the performance of a machine learning-based model that identifies the type and severity of nitrogen, phosphorus, potassium, and sulfur in rice plants by using the plant microRNA data as model inputs. The concentration of 14 microRNA compounds in plants exposed to nutrient deficiency was measured using an electrochemical biosensor based on the peak currents produced during the probe-target microRNA hybridization.
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