scholarly journals Plasma fatty acids as predictors of glycaemia and type 2 diabetes

Diabetologia ◽  
2015 ◽  
Vol 58 (11) ◽  
pp. 2533-2544 ◽  
Author(s):  
Maria A. Lankinen ◽  
Alena Stančáková ◽  
Matti Uusitupa ◽  
Jyrki Ågren ◽  
Jussi Pihlajamäki ◽  
...  
2021 ◽  
Vol 39 (Supplement 1) ◽  
pp. e45
Author(s):  
Katie Harris ◽  
Megumi Oshima ◽  
Naveed Sattar ◽  
Peter Wurtz ◽  
Min Jun ◽  
...  

Diabetologia ◽  
2020 ◽  
Vol 63 (11) ◽  
pp. 2359-2371 ◽  
Author(s):  
Shuai Yuan ◽  
Susanna C. Larsson

Abstract Aims/hypothesis The aim of this study was to use Mendelian randomisation (MR) to identify the causal risk factors for type 2 diabetes. Methods We first conducted a review of meta-analyses and review articles to pinpoint possible risk factors for type 2 diabetes. Around 170 possible risk factors were identified of which 97 risk factors with available genetic instrumental variables were included in MR analyses. To reveal more risk factors that were not included in our MR analyses, we conducted a review of published MR studies of type 2 diabetes. For our MR analyses, we used summary-level data from the DIAbetes Genetics Replication And Meta-analysis consortium (74,124 type 2 diabetes cases and 824,006 controls of European ancestry). Potential causal associations were replicated using the FinnGen consortium (11,006 type 2 diabetes cases and 82,655 controls of European ancestry). The inverse-variance weighted method was used as the main analysis. Multivariable MR analysis was used to assess whether the observed associations with type 2 diabetes were mediated by BMI. We used the Benjamini–Hochberg method that controls false discovery rate for multiple testing. Results We found evidence of causal associations between 34 exposures (19 risk factors and 15 protective factors) and type 2 diabetes. Insomnia was identified as a novel risk factor (OR 1.17 [95% CI 1.11, 1.23]). The other 18 risk factors were depression, systolic BP, smoking initiation, lifetime smoking, coffee (caffeine) consumption, plasma isoleucine, valine and leucine, liver alanine aminotransferase, childhood and adulthood BMI, body fat percentage, visceral fat mass, resting heart rate, and four plasma fatty acids. The 15 exposures associated with a decreased risk of type 2 diabetes were plasma alanine, HDL- and total cholesterol, age at menarche, testosterone levels, sex hormone binding globulin levels (adjusted for BMI), birthweight, adulthood height, lean body mass (for women), four plasma fatty acids, circulating 25-hydroxyvitamin D and education years. Eight associations remained after adjustment for adulthood BMI. We additionally identified 21 suggestive risk factors (p < 0.05), such as alcohol consumption, breakfast skipping, daytime napping, short sleep, urinary sodium, and certain amino acids and inflammatory factors. Conclusions/interpretation The present study verified several previously reported risk factors and identified novel potential risk factors for type 2 diabetes. Prevention strategies for type 2 diabetes should be considered from multiple perspectives on obesity, mental health, sleep quality, education level, birthweight and smoking. Graphical abstract


Diabetologia ◽  
2020 ◽  
Vol 63 (8) ◽  
pp. 1637-1647 ◽  
Author(s):  
Katie Harris ◽  
Megumi Oshima ◽  
Naveed Sattar ◽  
Peter Würtz ◽  
Min Jun ◽  
...  

2021 ◽  
Author(s):  
Jingyi Shen ◽  
Kaifeng Li ◽  
Huiyan Yu ◽  
Bingjie Ding ◽  
Rong Xiao ◽  
...  

Abstract In this study, we evaluated the cognitive function of 372 Chinese patients (214 males and 158 females; the average age was 57.09 ± 9.00 years) with type 2 diabetes mellitus (T2DM) by using the mini-mental state examination (MMSE) and the Montreal cognitive assessment (MoCA), with Plasma fatty acids measured by gas chromatography analysis and inflammatory cytokines determined by immune turbidimetric analysis and enzyme-linked immunosorbent assay (ELISA) to investigate whether there was a correlation between the plasma fatty acids, plasma inflammatory cytokine levels and cognitive test scores in Chinese patients with T2DM. We found the increasing of body mass index (BMI) might lead to cognitive impairment and induce inflammatory response. Higher saturated fatty acids (SFAs) levels in plasma were linked to cognitive decline, while higher monounsaturated fatty acids (MUFAs) intake might be a protective factor for cognitive function. In addition, most polyunsaturated fatty acids (PUFAs) levels stood out as having increasing trends that were positively correlated to cognitive function scores. In our study, we found higher SFAs led to higher proinflammatory factor levels. Apart from that, MUFAs and stearoyl-CoA desaturase-18 (SCD-18) were positively related to hypersensitive C-reactive protein (hs-CRP) (P<0.05; P<0.05; P<0.05). Meanwhile, our result also indicated that the increasing of C18:0 might reduce MoCA language skill scores by regulating plasma IL-10 levels. Plasma fatty acids could improve or damage cognitive function by regulating IL-10, which suggested plasma fatty acids could be evaluated as a potential indicator of cognitive function decline in T2DM.


2021 ◽  
Author(s):  
Jingyi Shen ◽  
Kaifeng Li ◽  
Huiyan Yu ◽  
Bingjie Ding ◽  
Rong Xiao ◽  
...  

Abstract In this study, we evaluated the cognitive function of 372 Chinese patients (214 males and 158 females; the average age was 57.09 ± 9.00 years) with type 2 diabetes mellitus (T2DM) by using the mini-mental state examination (MMSE) and the Montreal cognitive assessment (MoCA), with Plasma fatty acids measured by gas chromatography analysis and inflammatory cytokines determined by immune turbidimetric analysis and enzyme-linked immunosorbent assay (ELISA) to investigate whether there was a correlation between the plasma fatty acids, plasma inflammatory cytokine levels and cognitive test scores in Chinese patients with T2DM. We found the increasing of body mass index (BMI) might lead to cognitive impairment and induce inflammatory response. Higher saturated fatty acids (SFAs) levels in plasma were linked to cognitive decline, while higher monounsaturated fatty acids (MUFAs) intake might be a protective factor for cognitive function. In addition, most polyunsaturated fatty acids (PUFAs) levels stood out as having increasing trends that were positively correlated to cognitive function scores. In our study, we found higher SFAs led to higher proinflammatory factor levels. Apart from that, MUFAs and stearoyl-CoA desaturase-18 (SCD-18) were positively related to hypersensitive C-reactive protein (hs-CRP) (P<0.05; P<0.05; P<0.05). Meanwhile, our result also indicated that the increasing of C18:0 might reduce MoCA language skill scores by regulating plasma IL-10 levels. Plasma fatty acids could improve or damage cognitive function by regulating IL-10, which suggested plasma fatty acids could be evaluated as a potential indicator of cognitive function decline in T2DM.


2021 ◽  
Author(s):  
Jingyi Shen ◽  
Kaifeng Li ◽  
Huiyan Yu ◽  
Bingjie Ding ◽  
Rong Xiao ◽  
...  

Abstract Background High fat diet may lead to systematic inflammation in patients with type 2 diabetes, which eventually result in neuronal damage and cognitive decline. However, there is a paucity of study examined whether inflammation mediated the association between diet fatty acids and cognitive function in type 2 patients with diabetes. Methods We evaluated the cognitive function of 372 Chinese patients with diabetes, using the mini-mental state examination (MMSE) and the montreal cognitive assessment (MoCA). Plasma fatty acids were measured by gas chromatography analysis. Inflammatory cytokines were determined by immune turbidimetric analysis and enzyme-linked immunosorbent assay (ELISA). Data was analyzed using multiple linear regression based on R program and mediation model was established by Mplus. Results In our study, we found the increasing of BMI may lead to cognitive impairment and induce inflammatory response. We also found higher SFAs levels in plasma were linked to cognitive decline, while higher MUFAs intake might be a protective factor for cognitive function. In addition, most PUFAs levels stood out as having increasing trends that were positively correlated to cognitive function scores, but n-6 PUFAs gave opposite results. In our study, we found higher SFAs led to higher proinflammatory factor levels. Apart from that, MUFAs, SCD-16 and SCD-18 were positively related to hs-CRP. Interestingly, we found PUFAs were negatively related to IL-10. Meanwhile, this result also indicated that C18:0 might reduce MoCA language skills scores by regulating plasma IL-10 levels. Conclusions Plasma fatty acids could improve or damage cognitive function by regulating IL-10, which suggested that plasma fatty acids can be evaluated as a potential indicator of cognitive function decline in 2 type diabetes.


Metabolism ◽  
2015 ◽  
Vol 64 (4) ◽  
pp. e1-e2 ◽  
Author(s):  
Erdim Sertoglu ◽  
Metin Uyanik ◽  
Huseyin Kayadibi ◽  
Serkan Tapan

Author(s):  
Dominic Salamone ◽  
Angela Albarosa Rivellese ◽  
Claudia Vetrani

AbstractGut microbiota and its metabolites have been shown to influence multiple physiological mechanisms related to human health. Among microbial metabolites, short-chain fatty acids (SCFA) are modulators of different metabolic pathways. On the other hand, several studies suggested that diet might influence gut microbiota composition and activity thus modulating the risk of metabolic disease, i.e. obesity, insulin resistance and type 2 diabetes. Among dietary component, dietary fibre may play a pivotal role by virtue of its prebiotic effect on fibre-fermenting bacteria, that may increase SCFA production. The aim of this review was to summarize and discuss current knowledge on the impact of dietary fibre as modulator of the relationship between glucose metabolism and microbiota composition in humans. More specifically, we analysed evidence from observational studies and randomized nutritional intervention investigating the relationship between gut microbiota, short-chain fatty acids and glucose metabolism. The possible mechanisms behind this association were also discussed.


2015 ◽  
Vol 7 (4-6) ◽  
pp. 252-263 ◽  
Author(s):  
Kelei Li ◽  
Tao Huang ◽  
Ju-Sheng Zheng ◽  
Jianqin Sun ◽  
Yanqiu Chen ◽  
...  

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