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#metabolism

2 posts2 participants1 post today
Public
Miki :rstats:

#30DayChartChallenge Día 16: Negative Relationship FOUND! 📉🐍🐦🐢🐟

¡Lo conseguimos! Tras ajustar por masa corporal, la relación entre Tasa Metabólica Específica (W/kg) y Longevidad Máxima (años) en ~530 especies animales (AnAge DB, outliers quitados) SÍ es negativa (Pearson ρ ≈ -0.42, p < 2.2e-16). #RelationshipsWeek #Animals

El gráfico log-log muestra la tendencia: mayor intensidad metabólica por kilo se asocia con vidas más cortas. ¡Apoya la idea del "ritmo de vida"! 🔥➡️⏳ Colores por Clase Taxonómica.

Un recordatorio de la importancia de normalizar variables y limpiar datos para ver la señal correcta. ¡Ciencia en acción!

🛠 #rstats #ggplot2 #ggpubr | Data: AnAge | Theme: #theme_week3_animals
📂 Código/Viz: t.ly/ouLN0

Scatter plot log-log mostrando la relación entre Longevidad Máxima (años, eje Y) y Tasa Metabólica Basal Específica (Watts/kg, eje X) para 534 especies animales (outliers eliminados). Los puntos están coloreados por Clase taxonómica (Mammalia, Aves, Reptilia, Amphibia). Una línea de regresión lineal de color marrón oscuro con intervalo de confianza gris muestra una clara tendencia negativa. El coeficiente de correlación de Pearson (rho = -0.42, p < 2.2e-16) se muestra en la esquina superior derecha. El gráfico utiliza un tema con fondo beige claro y textos en marrón. Fuente: AnAge Database.
#Day16#Negative#dataviz
Public
RDN

Mice fed diets containing only 1/6 the normal amount of sulfur-containing amino acids (cysteine and methionine) rapidly lost body fat as a result of changes in glucose and lipid metabolism (reduced lipogenesis and increased lipolysis).

Summary: scienceblog.com/555391/cut-the

Original paper: academic.oup.com/lifemeta/adva

#Science#Diet#Metabolism
Public
Bytes Europe

Impact of excessive alcohol consumption on digestive health byteseu.com/825831/ #alcohol #Cancer #carcinoma #Chronic #Cirrhosis #Colorectal #ColorectalCancer #Compound #DigestiveSystem #dna #EsophagealCancer #ethanol #Fibrosis #Gallstones #GastricCancer #gastroenterology #GastrointestinalTract #Genetic #Health #Inflammation #Liver #Metabolism #Pancreas #Pancreatitis #PublicHealth #Smoking #Steatosis

Bytes Europe · Impact of excessive alcohol consumption on digestive healthExcessive alcohol consumption is a significant public health concern, responsible for approximately 6% of all deaths and contributing to 5.1% of the global disease burden. Alcohol use is a major risk factor for over 200 diseases, including liver cirrhosis, pancreatitis, and esophageal cancer, with a particularly high incidence of gastrointestinal diseases. More than 50% of alcohol-related deaths are caused by gastrointestinal diseases, highlighting the importance of understanding how ethanol affects the digestive system. This review aims to provide an overview of ethanol metabolism and the diseases caused by alcohol consumption, with a focus on the liver, gastrointestinal tract, pancreas, and
Public
Paul Houle

🧈 Dietary Lipids, Gut Microbiota, and Their Metabolites: Insights from Recent Studies

mdpi.com/2072-6643/17/4/639

MDPIDietary Lipids, Gut Microbiota, and Their Metabolites: Insights from Recent StudiesDietary lipid intake can influence the gut microbiota (GM) and their metabolites, such as short-chain fatty acids (SCFA) and bile acids, which are key mediators of health. The objective is to examine how dietary lipids’ quantity and quality influence the GM and metabolite profiles. A literature review of 33 studies in animals and humans was performed on the effects of saturated fatty acids (SFAs), monounsaturated fatty acids (MUFAs), polyunsaturated fatty acids (PUFAs), trans-fatty acids (TFAs), and sterols on GM composition and gut-derived metabolites. The results show that diets rich in MUFAs, n-3 PUFAs, and short-chain FAs have the potential to enhance beneficial bacteria and metabolites. In addition, trans-palmitoleic acid, conjugated linoleic acid, and phytosterols may also have potentially beneficial effects on GM, but more research is needed. Medium-chain FAs and n-6 PUFAs have variable effects on the GM. Conversely, intakes of high-fat diets, long-chain SFAs, industrial TFAs, and cholesterol disrupt GM balance. In conclusion, animal studies clearly demonstrate that dietary fats influence the GM and related metabolites. Yet, human studies are limited. Therefore, well-designed human studies that consider the whole diet and baseline health status are needed to better understand the effects of dietary lipids on GM.
#food#nutrition#diet
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