scholarly journals Short Course of Insulin Treatment versus Metformin in Newly Diagnosed Patients with Type 2 Diabetes

2018 ◽  
Vol 7 (9) ◽  
pp. 235 ◽  
Author(s):  
Marta Seghieri ◽  
Eleni Rebelos ◽  
Andrea Mari ◽  
Luigi Sciangula ◽  
Carlo Giorda ◽  
...  

The ß-cell dysfunction of type 2 diabetes is partly reversible. The optimal time window to induce glycemic remission is uncertain; short courses of insulin treatment have been tested as a strategy to induce remission. In a pilot study in 38 newly-diagnosed patients, we assessed the time-course of insulin sensitivity and ß-cell function (by repeat oral glucose tolerance tests) following a 6-week basal insulin treatment compared to metformin monotherapy in equipoised glycemic control. At 6 weeks, insulin secretion and sensitivity were increased in both groups whilst ß-cell glucose sensitivity was unchanged. From this time onwards, in the insulin group glycemia started to rise at 3 months, and was no longer different from baseline at 1 year. The initial improvement in insulin secretion and sensitivity dissipated. In the metformin group, fasting plasma glucose and HbA1c levels reached a nadir at 8 months, at which time insulin secretion, glucose and insulin sensitivity were significantly better than at baseline and higher than in the insulin group. A short course of basal insulin in newly-diagnosed patients does not appear to offer clinical advantage over recommended initiation with metformin.

Author(s):  
Jagadish Vangipurapu ◽  
Lilian Fernandes Silva ◽  
Teemu Kuulasmaa ◽  
Ulf Smith ◽  
Markku Laakso

<b>OBJECTIVE: </b>Recent studies have highlighted the significance of microbiome in human health and disease. Changes in the metabolites produced by microbiota have been implicated in several diseases. Our objective was to identify microbiome metabolites that are associated with type 2 diabetes. <p> </p> <p><b>RESEARCH DESIGN AND METHODS: </b>5,181 participants from the cross-sectional METabolic Syndrome In Men (METSIM) study that included Finnish men (age 57 ± 7 years, body mass index 26.5 ± 3.5 kg/m<sup>2</sup>) having metabolomics data available were included in our study. Metabolomics analysis was performed based on fasting plasma samples. Based on an oral glucose tolerance test, Matsuda ISI and Disposition index were calculated as markers of insulin sensitivity and insulin secretion. A total of 4,851 participants had a 7.4-year follow-up visit and 522 participants developed type 2 diabetes.</p> <p><b> </b></p> <p><b>RESULTS: </b>Creatine, 1-palmitoleoylglycerol(16:1), urate, 2-hydroxybutyrate/2-hydroxyisobutyrate, xanthine, xanthurenate, kynurenate, 3-(4-hydroxyphenyl)lactate, 1-oleoylglycerol(18:1), 1-myristoylglycerol(14:0), dimethylglycine and 2-hydroxyhippurate(salicylurate) were significantly associated with an increased risk of type 2 diabetes. These metabolites were associated with decreased insulin secretion or insulin sensitivity or both. Among the metabolites that were associated with a decreased risk of type 2 diabetes, 1-linoleoyl-glycerophosphocholine (18:2) significantly reduced the risk of type 2 diabetes.</p> <p><b> </b></p> <p><b>CONCLUSIONS: </b>Several novel and previously reported microbial metabolites related to gut microbiota were associated with an increased risk of incident type 2 diabetes, and they were also associated with decreased insulin secretion and insulin sensitivity. Microbial metabolites are important biomarkers for the risk of type 2 diabetes. </p>


2015 ◽  
Vol 2015 ◽  
pp. 1-5 ◽  
Author(s):  
Yuan Gao ◽  
Xinchi Wu ◽  
Qi Fu ◽  
Yanyun Li ◽  
Tao Yang ◽  
...  

The aim of this study was to investigate the relationship between serum 25-hydroxy vitamin D (25-OHD) and insulin sensitivity andβ-cell function in newly diagnosed type 2 diabetes. 395 newly diagnosed type 2 diabetes patients were enrolled in this study. Venous blood samples were collected at 0 min, 30 min, and 120 min of OGTT to measure serum glucose and insulin. Matsuda ISI and HOMA-IR were used to determine insulin sensitivity. The ratio of 0–120 min area under curve of insulin to glucose (insulin release index, INSR) was calculated as surrogate index ofβ-cell insulin secretion function. The products of insulin secretion indices multiplied by Matsuda insulin sensitivity index were used as disposition indices. Patients were divided into three groups according to tertiles (T1, T2, and T3) of 25-OHD concentration. There was significant difference among three groups for HOMA-IR, Matsuda ISI, and INSR. HOMA-IR, Matsuda ISI, INSR, and DI were undifferentiated among three groups in male patients. But HOMA-IR, Matsuda ISI, and INSR were significantly different among three groups in female patients after being adjusted by confounding factors. In conclusion, serum 25-OHD is associated with insulin sensitivity andβ-cell function for female newly diagnosed type 2 diabetes patients, and the association is ambiguous in males.


Author(s):  
Jagadish Vangipurapu ◽  
Lilian Fernandes Silva ◽  
Teemu Kuulasmaa ◽  
Ulf Smith ◽  
Markku Laakso

<b>OBJECTIVE: </b>Recent studies have highlighted the significance of microbiome in human health and disease. Changes in the metabolites produced by microbiota have been implicated in several diseases. Our objective was to identify microbiome metabolites that are associated with type 2 diabetes. <p> </p> <p><b>RESEARCH DESIGN AND METHODS: </b>5,181 participants from the cross-sectional METabolic Syndrome In Men (METSIM) study that included Finnish men (age 57 ± 7 years, body mass index 26.5 ± 3.5 kg/m<sup>2</sup>) having metabolomics data available were included in our study. Metabolomics analysis was performed based on fasting plasma samples. Based on an oral glucose tolerance test, Matsuda ISI and Disposition index were calculated as markers of insulin sensitivity and insulin secretion. A total of 4,851 participants had a 7.4-year follow-up visit and 522 participants developed type 2 diabetes.</p> <p><b> </b></p> <p><b>RESULTS: </b>Creatine, 1-palmitoleoylglycerol(16:1), urate, 2-hydroxybutyrate/2-hydroxyisobutyrate, xanthine, xanthurenate, kynurenate, 3-(4-hydroxyphenyl)lactate, 1-oleoylglycerol(18:1), 1-myristoylglycerol(14:0), dimethylglycine and 2-hydroxyhippurate(salicylurate) were significantly associated with an increased risk of type 2 diabetes. These metabolites were associated with decreased insulin secretion or insulin sensitivity or both. Among the metabolites that were associated with a decreased risk of type 2 diabetes, 1-linoleoyl-glycerophosphocholine (18:2) significantly reduced the risk of type 2 diabetes.</p> <p><b> </b></p> <p><b>CONCLUSIONS: </b>Several novel and previously reported microbial metabolites related to gut microbiota were associated with an increased risk of incident type 2 diabetes, and they were also associated with decreased insulin secretion and insulin sensitivity. Microbial metabolites are important biomarkers for the risk of type 2 diabetes. </p>


2014 ◽  
Vol 307 (9) ◽  
pp. E822-E829 ◽  
Author(s):  
Thomas P. J. Solomon ◽  
Steven K. Malin ◽  
Kristian Karstoft ◽  
Sine H. Knudsen ◽  
Jacob M. Haus ◽  
...  

Plasma glucose, insulin, and C-peptide responses during an OGTT are informative for both research and clinical practice in type 2 diabetes. The aim of this study was to use such information to determine insulin sensitivity and insulin secretion so as to calculate an oral glucose disposition index (DIOGTT) that is a measure of pancreatic β-cell insulin secretory compensation for changing insulin sensitivity. We conducted an observational study of n = 187 subjects, representing the entire glucose tolerance continuum from normal glucose tolerance to type 2 diabetes. OGTT-derived insulin sensitivity (SI OGTT) was calculated using a novel multiple-regression model derived from insulin sensitivity measured by hyperinsulinemic euglycemic clamp as the independent variable. We also validated the novel SI OGTT in n = 40 subjects from an independent data set. Plasma C-peptide responses during OGTT were used to determine oral glucose-stimulated insulin secretion (GSISOGTT), and DIOGTT was calculated as the product of SI OGTT and GSISOGTT. Our novel SI OGTT showed high agreement with clamp-derived insulin sensitivity (typical error = +3.6%; r = 0.69, P < 0.0001) and that insulin sensitivity was lowest in subjects with impaired glucose tolerance and type 2 diabetes. GSISOGTT demonstrated a significant inverse relationship with SI OGTT. GSISOGTT was lowest in normal glucose-tolerant subjects and greatest in those with impaired glucose tolerance. DIOGTT was sequentially lower with advancing glucose intolerance. We hereby derive and validate a novel OGTT-derived measurement of insulin sensitivity across the entire glucose tolerance continuum and demonstrate that β-cell compensation for changing insulin sensitivity can be readily calculated from clinical variables collected during OGTT.


2016 ◽  
Vol 2016 ◽  
pp. 1-6 ◽  
Author(s):  
Yuliang Cui ◽  
Hemei Bu ◽  
Xianghua Ma ◽  
Sha Zhao ◽  
Xiaona Li ◽  
...  

Objective. The aim of our study was to explore the dependent condition of the relationship between uric acid and blood glucose in type 2 diabetes.Research Design and Methods. We measured the HbA1c, serum uric acid, creatinine, lipids profiles, and so forth of 605 newly diagnosed type 2 diabetes patients, and oral glucose tolerance tests (OGTTs) were performed on each patient. The population was divided into high and low insulin groups. Multiple linear regression analyses were conducted to assess the relationship between uric acid and HbA1c.Results. Serum uric acid and HbA1c levels were low in newly diagnosed type 2 diabetes patients. However, we found no significant relationship between uric acid and HbA1c by regression analysis after adjusting total insulin. The concentration of uric acid was inversely correlated with HbA1c in the high insulin group, regardless of patient sex. However, no associations were found in low insulin group.Conclusions. The negative correlation between uric acid and HbA1c is conditional in newly diagnosed type 2 diabetes patients and is related to hyperinsulinemia. Therefore, uric acid is likely only useful as a biomarker of blood glucose in patients exhibiting hyperinsulinemia.


2015 ◽  
Vol 10 (S 01) ◽  
Author(s):  
M Apostolopoulou ◽  
K Strassburger ◽  
B Knebel ◽  
J Kotzka ◽  
J Szendroedi ◽  
...  

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 970-P
Author(s):  
KRISHNAMOORTHY SATHEESH ◽  
CHAMUKUTTAN SNEHALATHA ◽  
ARUN NANDITHA ◽  
ARUN RAGHAVAN ◽  
RAMACHANDRAN VINITHA ◽  
...  

2021 ◽  
pp. 153537022110094
Author(s):  
Ibiye Owei ◽  
Nkiru Umekwe ◽  
Frankie Stentz ◽  
Jim Wan ◽  
Sam Dagogo-Jack

The ability to predict prediabetes, which affects ∼90 million adults in the US and ∼400 million adults worldwide, would be valuable to public health. Acylcarnitines, fatty acid metabolites, have been associated with type 2 diabetes risk in cross-sectional studies of mostly Caucasian subjects, but prospective studies on their link to prediabetes in diverse populations are lacking. Here, we determined the association of plasma acylcarnitines with incident prediabetes in African Americans and European Americans enrolled in a prospective study. We analyzed 45 acylcarnitines in baseline plasma samples from 70 adults (35 African-American, 35 European-American) with incident prediabetes (progressors) and 70 matched controls (non-progressors) during 5.5-year (mean 2.6 years) follow-up in the Pathobiology of Prediabetes in a Biracial Cohort (POP-ABC) study. Incident prediabetes (impaired fasting glucose/impaired glucose tolerance) was confirmed with OGTT. We measured acylcarnitines using tandem mass spectrometry, insulin sensitivity by hyperinsulinemic euglycemic clamp, and insulin secretion using intravenous glucose tolerance test. The results showed that progressors and non-progressors during POP-ABC study follow-up were concordant for 36 acylcarnitines and discordant for nine others. In logistic regression models, beta-hydroxy butyryl carnitine (C4-OH), 3-hydroxy-isovaleryl carnitine/malonyl carnitine (C5-OH/C3-DC), and octenoyl carnitine (C8:1) were the only significant predictors of incident prediabetes. The combined cut-off plasma levels of <0.03 micromol/L for C4-OH, <0.03 micromol/L for C5-OH/C3-DC, and >0.25 micromol/L for C8:1 acylcarnitines predicted incident prediabetes with 81.9% sensitivity and 65.2% specificity. Thus, circulating levels of one medium-chain and two short-chain acylcarnitines may be sensitive biomarkers for the risk of incident prediabetes among initially normoglycemic individuals with parental history of type 2 diabetes.


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