Varying intestinal absorption curves of glucose and fat with different plasma insulin curves in different positions
Yang, J.; Wang, L.; Song, L.; Li, G.; Jin, X.; Tian, S.
Show abstract
It has been shown that posture could affect the rehabilitation of some diseases, and even affect the physiological metabolism and function of certain systems of the human body, including gastrointestinal absorption of glucose. Studies attributed the different gastrointestinal absorption rate in different positions to the varying rate of gastric emptying in different positions. However, it is still unknown whether the absorption rate of nutrients from the intestine varies in different positions. To verify this hypothesis, the present study was conducted using rats as subjects. After injection of glucose or chyme of safflower oil into the upper segment of jejunum of rats, curves of plasma glucose or triglyceride were drawed to evaluate and compare the potential influences on intestinal absorption by postures. We found varying intestinal absorption curves of glucose and fat with different plasma insulin curves in different positions. To be specific, the right lateral decubitus resulted in the most sharp curves, whereas the supine position the most obtuse curves with a delayed peak, both in case of glucose and fat absorption. These findings contribute to understand the position-related absorption kinetics of substances in the intestinal tract. According to this study, posture may be important for the prevention and nursing intervention of some diseases related to metabolic kinetics of glucose and lipids. It may also be important for the absorption and transport of lipophilic drugs through the mesentery lymphatic vessels.
Matching journals
The top 1 journal accounts for 50% of the predicted probability mass.
Similar papers in this journal
- Evaluating the appropriate oral lipid tolerance test model for investigating plasma triglyceride elevation in mice 97%
- Effects of electroacupuncture on the expression of hypothalamic neuropeptide Y and ghrelin in pubertal rats with polycystic ovary syndrome 96%
- The Gene Knockout of Angiotensin II Type 1a Receptor Improves High-fat Diet-Induced Obesity in rat via Promoting Adipose Lipolysis 96%
Similar papers in this journal
- Effects of different environmental intervention durations on the intestinal mucosal barrier and the brain-gut axis in rats with colorectal cancer 98%
- Enhanced expression of Dystrophin, IGF-1, CD44 and MYH3 in plasma and skeletal muscles including Diaphragm of mdx mice after oral administration of Neu REFIX Beta 1,3-1,6 glucan 95%
- The combination of lipopolysaccharide and D-galactosamine administration show positive genotoxic effect in mice liver 94%
Similar papers in this journal
- The protective roles of Eugenol on type 1 diabetes mellitus through NRF2 mediated oxidative stress pathway 94%
- TMAO, a seafood-derived molecule, produces diuresis and reduces mortality in heart failure rats 94%
- Association of lithocholic acid with skeletal muscle hypertrophy through TGR5-IGF-1 and skeletal muscle mass in chronic liver disease rats and humans 94%
Similar papers in this journal
- A Novel Hypothalamic Factor, Neurosecretory Protein GM, Causes Fat Deposition in Chicks 94%
- Regulation of angiotensin converting enzyme 2 (ACE2) in obesity: implications for COVID-19 94%
- Integrated analysis of sex-biased mRNA and miRNA expression profiles in the gonad of the discus fish (Symphysodon aequifasciatus) 93%
Similar papers in this journal
- Impact of Losartan on Portal hypertension and Liver Cirrhosis: A Systematic Review 95%
- The Impact of Fasting the Holy Month of Ramadan on Colorectal Cancer Patients and Two Tumor Biomarkers: A Tertiary-Care Hospital Experience 94%
- Comparison of Efficacy of Dexamethasone and Methylprednisolone in Improving the Partial Pressure of Arterial Oxygen and Fraction of Inspired Oxygen Ratio among COVID-19 Patients 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.