Julia Otten

Dr. Julia Otten

Umeå University (Faculty of Medicine)
orcid

Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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3 June 2014 in Diabetologia
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Julia OttenJulia Otten
Julia Otten
BABo Ahrén
Bo Ahrén
TOTommy Olsson
Tommy Olsson
We aimed to identify which surrogate index of insulin sensitivity has the strongest correlation with the reference measurement, the hyperinsulinaemic–euglycaemic clamp (HEC), to determine which surrogate measure should be recommended for use in large-scale studies. A literature search (1979–2012) was conducted to retrieve all articles reporting bivariate correlations between the HEC and surrogate measures of insulin sensitivity (in fasting samples or during the OGTT). We performed a random effects meta-analysis for each surrogate measure to integrate the correlation coefficients of the different studies. The OGTT-based surrogate measures with the strongest pooled correlations (r) to the HEC were the Stumvoll metabolic clearance rate (Stumvoll MCR; r = 0.70 [95% CI 0.61, 0.77], n = 5), oral glucose insulin sensitivity (OGIS; r = 0.70 [0.57, 0.80], n = 6), the Matsuda index (r = 0.67 [0.61, 0.73], n = 19), the Stumvoll insulin sensitivity index (Stumvoll ISI; r = 0.67 [0.60, 0.72], n = 8) and the Gutt index (r = 0.65 [0.60, 0.69], n = 6). The fasting surrogate indices that correlated most strongly with the HEC and had narrow 95% CIs were the revised QUICKI (r = 0.68 [0.58, 0.77], n = 7), the QUICKI (r = 0.61 [0.55, 0.65], n = 35), the log HOMA-IR (r = −0.60 [−0.66, −0.53], n = 22) and the computer generated HOMA of insulin sensitivity (HOMA-%S; r = 0.57 [0.46, 0.67], n = 5). The revised QUICKI fasting surrogate measure appears to be as good as the OGTT-based Stumvoll MCR, OGIS, Matsuda, Stumvoll ISI and Gutt indices for estimating insulin sensitivity. It can therefore be recommended as the most appropriate index for use in large-scale clinical studies.

27 May 2016 in Diabetes/Metabolism Research and Reviews
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Julia OttenJulia Otten
Julia Otten
ASAndreas Stomby
Andreas Stomby
MWMaria Waling
Maria Waling
AIAndreas Isaksson
Andreas Isaksson
ATAnna Tellström
Anna Tellström
TOTommy Olsson
Tommy Olsson
Background: Means to reduce future risk for cardiovascular disease in subjects with type 2 diabetes are urgently needed.Methods: Thirty‐two patients with type 2 diabetes (age 59 ± 8 years) followed a Paleolithic diet for 12 weeks. Participants were randomized to either standard care exercise recommendations (PD) or 1‐h supervised exercise sessions (aerobic exercise and resistance training) three times per week (PD‐EX).Results: For the within group analyses, fat mass decreased by 5.7 kg (IQR: −6.6, −4.1; p < 0.001) in the PD group and by 6.7 kg (−8.2, −5.3; p < 0.001) in the PD‐EX group. Insulin sensitivity (HOMA‐IR) improved by 45% in the PD (p < 0.001) and PD‐EX (p < 0.001) groups. HbA1c decreased by 0.9% (−1.2, −0.6; p < 0.001) in the PD group and 1.1% (−1.7, −0.7; p < 0.01) in the PD‐EX group. Leptin decreased by 62% (p < 0.001) in the PD group and 42% (p < 0.001) in the PD‐EX group. Maximum oxygen uptake increased by 0.2 L/min (0.0, 0.3) in the PD‐EX group, and remained unchanged in the PD group (p < 0.01 for the difference between intervention groups). Male participants decreased lean mass by 2.6 kg (−3.6, −1.3) in the PD group and by 1.2 kg (−1.3, 1.0) in the PD‐EX group (p < 0.05 for the difference between intervention groups).Conclusions: A Paleolithic diet improves fat mass and metabolic balance including insulin sensitivity, glycemic control, and leptin in subjects with type 2 diabetes. Supervised exercise training may not enhance the effects on these outcomes, but preserves lean mass in men and increases cardiovascular fitness. Copyright © 2016 John Wiley & Sons, Ltd.

24 February 2020 in European Heart Journal
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TTTammy Tong
Tammy Tong
PAPaul N Appleby
Paul N Appleby
TKTimothy Key
Timothy Key
CDChristina C Dahm
Christina C Dahm
KOKim Overvad
Kim Overvad
APAurora Perez-Cornago
Aurora Perez-Cornago
To investigate the associations between major foods and dietary fibre with subtypes of stroke in a large prospective cohort. We analysed data on 418 329 men and women from nine European countries, with an average of 12.7 years of follow-up. Diet was assessed using validated country-specific questionnaires which asked about habitual intake over the past year, calibrated using 24-h recalls. Multivariable-adjusted Cox regressions were used to estimate hazard ratios (HRs) for ischaemic and haemorrhagic stroke associated with consumption of red and processed meat, poultry, fish, dairy foods, eggs, cereals, fruit and vegetables, legumes, nuts and seeds, and dietary fibre. For ischaemic stroke (4281 cases), lower risks were observed with higher consumption of fruit and vegetables combined (HR; 95% CI per 200 g/day higher intake, 0.87; 0.82–0.93, P-trend < 0.001), dietary fibre (per 10 g/day, 0.77; 0.69–0.86, P-trend < 0.001), milk (per 200 g/day, 0.95; 0.91–0.99, P-trend = 0.02), yogurt (per 100 g/day, 0.91; 0.85–0.97, P-trend = 0.004), and cheese (per 30 g/day, 0.88; 0.81–0.97, P-trend = 0.008), while higher risk was observed with higher red meat consumption which attenuated when adjusted for the other statistically significant foods (per 50 g/day, 1.07; 0.96–1.20, P-trend = 0.20). For haemorrhagic stroke (1430 cases), higher risk was associated with higher egg consumption (per 20 g/day, 1.25; 1.09–1.43, P-trend = 0.002). Risk of ischaemic stroke was inversely associated with consumption of fruit and vegetables, dietary fibre, and dairy foods, while risk of haemorrhagic stroke was positively associated with egg consumption. The apparent differences in the associations highlight the importance of examining ischaemic and haemorrhagic stroke subtypes separately.

9 September 2022 in Science Advances
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Nicolas J. PillonNicolas J. Pillon
Nicolas J. Pillon
JSJonathon A. B. Smith
Jonathon A. B. Smith
PAPetter S. Alm
Petter S. Alm
Alexander V. ChibalinAlexander V. Chibalin
Alexander V. Chibalin
JAJulia Alhusen
Julia Alhusen
JZJuleen R. Zierath
Juleen R. Zierath
Mechanistic insights into the molecular events by which exercise enhances the skeletal muscle phenotype are lacking, particularly in the context of type 2 diabetes. Here, we unravel a fundamental role for exercise-responsive cytokines ( exerkines ) on skeletal muscle development and growth in individuals with normal glucose tolerance or type 2 diabetes. Acute exercise triggered an inflammatory response in skeletal muscle, concomitant with an infiltration of immune cells. These exercise effects were potentiated in type 2 diabetes. In response to contraction or hypoxia, cytokines were mainly produced by endothelial cells and macrophages. The chemokine CXCL12 was induced by hypoxia in endothelial cells, as well as by conditioned medium from contracted myotubes in macrophages. We found that CXCL12 was associated with skeletal muscle remodeling after exercise and differentiation of cultured muscle. Collectively, acute aerobic exercise mounts a noncanonical inflammatory response, with an atypical production of exerkines, which is potentiated in type 2 diabetes.

26 April 2018 in Diabetologia
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Julia OttenJulia Otten
Julia Otten
ASAndreas Stomby
Andreas Stomby
MWMaria Waling
Maria Waling
AIAndreas Isaksson
Andreas Isaksson
ISIngegerd Söderström
Ingegerd Söderström
TOTommy Olsson
Tommy Olsson
Aims/hypothesis The aim of the study was to investigate ectopic fat deposition and insulin sensitivity, in a parallel single-blinded randomised controlled trial, comparing Paleolithic diet alone with the combination of Paleolithic diet and exercise in individuals with type 2 diabetes. Methods Thirty-two individuals with type 2 diabetes with BMI 25–40 kg/m2 and 30–70 years of age followed a Paleolithic diet ad libitum for 12 weeks. In addition, study participants were randomised by computer program to either supervised combined exercise training (PD-EX group) or standard care exercise recommendations (PD group). Staff performing examinations and assessing outcomes were blinded to group assignment. Thirteen participants were analysed in each group: hepatic and peripheral insulin sensitivity were measured using the hyperinsulinaemic–euglycaemic clamp technique combined with [6,6-2H2]glucose infusion, and liver fat was assessed by proton magnetic resonance spectroscopy; both analyses were secondary endpoints. Intramyocellular lipid (IMCL) content was measured by magnetic resonance spectroscopy as a secondary analysis. All examinations were performed at Umeå University Hospital, Umeå, Sweden. Results Both study groups showed a median body weight loss of 7 kg. Fat mass decreased by 5.7 kg in the PD group and by 6.5 kg in the PD-EX group. Maximum oxygen uptake increased in the PD-EX group only. Liver fat showed a consistent reduction (74% decrease) in the PD group, while the response in the PD-EX group was heterogeneous (p < 0.05 for the difference between groups). IMCL content of the soleus muscle decreased by 40% in the PD group and by 22% in the PD-EX group (p < 0.05 for the difference between groups). Both groups improved their peripheral and adipose tissue insulin sensitivity, but not their hepatic insulin sensitivity. Plasma fetuin-A decreased by 11% in the PD group (p < 0.05) and remained unchanged in the PD-EX group. Liver fat changes during the intervention were correlated with changes in fetuin-A (rS = 0.63, p < 0.01). Participants did not report any important adverse events caused by the intervention. Conclusions/interpretation A Paleolithic diet reduced liver fat and IMCL content, while there was a tissue-specific heterogeneous response to added exercise training. Trial registration ClinicalTrials.gov NCT01513798 Funding Swedish Diabetes Research Foundation, County Council of Västerbotten, Swedish Heart and Lung Foundation, King Gustav V and Queen Victoria’s Foundation

1 June 2019 in European Journal of Endocrinology
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Journal Article
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Julia OttenJulia Otten
Julia Otten
MRMats Ryberg
Mats Ryberg
CMCaroline Mellberg
Caroline Mellberg
TATomas Andersson
Tomas Andersson
ECElin Chorell
Elin Chorell
TOTommy Olsson
Tommy Olsson
Objective: To investigate how weight loss by different diets impacts postprandial levels of glucagon-like peptide 1 (GLP-1), glucose-dependent insulinotropic polypeptide (GIP) and glucagon. Methods: In this single-centre, parallel group 2-year trial, 70 healthy postmenopausal obese women were randomised to the Paleolithic diet or a healthy control diet based on Nordic Nutrition Recommendations. Both diets were without calorie restriction. The primary outcome was the change in fat mass. Here, secondary analyses on GLP-1, GIP and glucagon measured during an OGTT are described. Results: In the Paleolithic diet group, mean weight loss compared to baseline was 11% at 6 months and 10% at 24 months. In the control diet group, mean weight loss was 6% after 6 and 24 months (P = 0.0001 and P = 0.049 for the comparison between groups at 6 and 24 months respectively). Compared to baseline, the mean incremental area under the curve (iAUC) for GLP-1 increased by 34 and 45% after 6 and 24 months in the Paleolithic diet group and increased by 59% after 24 months in the control diet group. The mean iAUC for GIP increased only in the Paleolithic diet group. The area under the curve (AUC) for glucagon increased during the first 6 months in both groups. The fasting glucagon increase correlated with the β-hydroxybutyrate increase. Conclusions: Weight loss caused an increase in postprandial GLP-1 levels and a further rise occurred during weight maintenance. Postprandial GIP levels increased only after the Paleolithic diet. Reduced postprandial glucagon suppression may be caused by a catabolic state.