Metabolism News and Research

Latest Metabolism News and Research

Sweet news: Dark chocolate reduces type 2 diabetes risk

Findings show dark chocolate may lower type 2 diabetes risk, while milk chocolate contributes to weight gain. Implications for dietary choices discussed.

10 Dec 2024

Mediterranean diet linked to reduced risk of inflammatory bowel disease

Research suggests the Mediterranean diet supports inflammatory bowel disease management, enhancing gut microbiota with nutrients like omega-3 fatty acids.

10 Dec 2024

Tea, apples, and chocolate proven to support liver health

A flavonoid-rich diet, including apples, tea, and dark chocolate, significantly lowers the risk of non-alcoholic fatty liver disease (NAFLD) and improves liver health biomarkers. These findings highlight the potential of dietary flavonoids in combating liver fat accumulation and inflammation.

9 Dec 2024

The brain’s hunger switch: TRH neurons hold the key to obesity therapies

Scientists uncover how TRH neurons suppress hunger by inhibiting AgRP neurons, advancing our understanding of GLP-1-based obesity treatments.

9 Dec 2024

Unprocessed red meat and weight loss: Is it a healthy choice?

Unprocessed red meat can be part of a healthy weight maintenance diet after rapid weight loss, with no adverse effects on metabolism or cardiovascular health. This study finds similar outcomes with diets including 25g or 150g of red meat daily.

9 Dec 2024

Can HIIT's metabolic benefits last? New study explores post-exercise sustainability in diabetes

Researchers investigate whether high-intensity interval training-induced metabolic benefits sustain or differ after prolonged training cessation.

9 Dec 2024

New insights into the mechanisms of "Niemann-Pick type C" in children

In the journal "Science Translational Medicine", scientists from DZNE and LMU Hospital report on new insights into the mechanisms of "Niemann-Pick type C" (NPC), a rare neurodegenerative disease associated with dementia that can manifest as early as childhood.

6 Dec 2024

MRI-based imaging technique predicts the response of ovarian cancer to treatment

An MRI-based imaging technique developed at the University of Cambridge predicts the response of ovarian cancer tumors to treatment, and rapidly reveals how well treatment is working, in patient-derived cell models.

6 Dec 2024

International experts set framework for microbiota diagnostics

The gut microbiota might perhaps one day become a routine tool for the early diagnosis of many diseases and to guide treatment, but at present there is a lack of solid scientific evidence to support these claims.

6 Dec 2024

Study uncovers mechanism behind nutrient scavenging in pancreatic cancer

Cancer cells are like booming cities without urban planners. They expand quickly, and in doing so, the resulting tumors consume more energy and other resources than they can acquire from nearby blood vessels.

6 Dec 2024

p53 mutations show diverse impact on pancreatic cancer metabolism

A research team at the University of Konstanz, led by toxicologist Ivano Amelio, has demonstrated how differently individual mutations of the tumor suppressor p53 affect pancreatic carcinomas.

6 Dec 2024

New method detects unrecognized chemicals in the human body

From the 1960s to the 1980s, the use of lead in fuel, paints, and pipes caused widespread contamination.

6 Dec 2024

Researchers map the circadian clock in the fly brain

All animals including humans are subject to daily rhythms in their activity and sleep, hunger, metabolism, and reproduction.

6 Dec 2024

Scientists link proteins to Alzheimer’s through cutting-edge genetic method

Researchers have developed MR-SPI, a novel method integrated with AlphaFold3, to identify causal protein biomarkers and predict their 3D structural changes in Alzheimer’s disease. This breakthrough offers insights into disease mechanisms and potential therapeutic targets.

5 Dec 2024

Researchers develop diabetes prediction system using clinical and genetic data

A research team led by professor Nan-Hee Kim from Korea University's College of Medicine (Nan-Hee Kim and So-Young Park of Department of Endocrinology and Metabolism; Min-Hee Kim and Jae-Young Kim of Health Science Research Center) recently developed a diabetes prediction system using clinical and genetic data. The system was registered for the domestic patent.

5 Dec 2024