scholarly journals Advice to follow a low-carbohydrate diet has a favourable impact on low-grade inflammation in type 2 diabetes compared with advice to follow a low-fat diet

2014 ◽  
Vol 46 (3) ◽  
pp. 182-187 ◽  
Author(s):  
Lena Jonasson ◽  
Hans Guldbrand ◽  
Anna K. Lundberg ◽  
Fredrik H. Nystrom
2004 ◽  
Vol 107 (4) ◽  
pp. 365-369 ◽  
Author(s):  
Matthew J. SHARMAN ◽  
Jeff S. VOLEK

In recent years, it has become apparent that low-grade vascular inflammation plays a key role in all stages of the pathogenesis of atherosclerosis. Weight loss has been shown to improve blood inflammatory markers; however, it is unknown if weight-loss diets varying in macronutrient composition differentially affect inflammatory responses. The primary purpose of the present study was to compare a very-low-carbohydrate diet and a low-fat weight-loss diet on inflammatory biomarkers in overweight men. In a randomized cross-over design, 15 overweight men (body fat, >25%; body mass index, 34 kg/m2) consumed two experimental weight-loss diets for two consecutive 6-week periods: a very-low-carbohydrate diet (<10% energy via carbohydrate) and a low-fat diet (<30% energy via fat). Both the low-fat and the very-low-carbohydrate diets resulted in significant decreases in absolute concentrations of hsTNF-α (high-sensitivity tumour necrosis factor-α), hsIL-6 (high-sensitivity interleukin-6), hsCRP (high-sensitivity C-reactive protein) and sICAM-1 (soluble intercellular cell-adhesion molecule-1). There was no significant change in absolute sP-selectin (soluble P-selectin) concentrations after either diet. Normalized inflammatory values represented as the delta change per 1 kg reduction in body mass showed a significant difference between the two diets only for sP-selectin (P<0.05). In summary, energy-restricted low-fat and very-low-carbohydrate diets both significantly decreased several biomarkers of inflammation. These data suggest that, in the short-term, weight loss is primarily the driving force underlying the reductions in most of the inflammatory biomarkers.


Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 723-P
Author(s):  
LINGWANG AN ◽  
DANDAN WANG ◽  
XIAORONG SHI ◽  
CHENHUI LIU ◽  
KUEICHUN YEH ◽  
...  

2011 ◽  
Vol 93 (4) ◽  
pp. 844-850 ◽  
Author(s):  
Lawrence de Koning ◽  
Teresa T Fung ◽  
Xiaomei Liao ◽  
Stephanie E Chiuve ◽  
Eric B Rimm ◽  
...  

2020 ◽  
Vol 12 (12) ◽  
pp. 1445-1451
Author(s):  
Xiaofan Zhang ◽  
Youyou Zhang ◽  
Lingjia Gu ◽  
Haiying Tao ◽  
Shuang Zhu

Nanoparticles play a major role in drug delivery. We investigated the effects of the intelligent administration of insulin-loaded nanoparticles (ILNP) when combined with a low-carbohydrate diet (LCD) on the metabolism of patients with type 2 diabetes. ILNP and smart vesicle polymers were developed, and their properties were studied in vitro. Further clinical trials were performed, during which body mass index (BMI), fasting blood glucose (FBG) levels, and glycated hemoglobin (HbA1c) levels were compared between type 2 diabetes patients on LCDs those on normal diets. The results demonstrated that ILNP resisted protease degradation due to steric hindrance, and remained relatively stable at a pH range of 5.0 to 7.4. The nanoparticle enteric-coated capsules resisted the gastric juice acidity (pH = 2.5) and ensured the stable embedding of the insulin. The insulin was then released at a slightly higher pH (pH = 6.6), which mimicked the small intestine. Smart vesicle polymers further embedded the insulin and glucose oxidase simultaneously in nano polymer compounds, which allowed for a dose-dependent response to the concentration of glucose. Thus, the insulin was not released in a low-concentration glucose solution, but rather in a high-concentration glucose solution. Based on these results, we concluded that the clinical trial results showed that the intelligent administration of ILNP combined with a LCD reduced BMI, FBG, and HbA1c levels in patients with type 2 diabetes.


2019 ◽  
Vol 33 (11) ◽  
pp. 107415 ◽  
Author(s):  
Mizuho Kondo-Ando ◽  
Yusuke Seino ◽  
Risa Morikawa ◽  
Kana Negi ◽  
Hidechika Todoroki ◽  
...  

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