A new podcast from The BMJ, to help GP's feel more connected, heard, and supported. Subscribe on; Apple podcasts - https://bit.ly/applepodsDBI Spotify - https://bit.ly/spotifyDBI Google podcasts - https://bit.ly/googlepodsDBI This week, our topic is fear: we try to get a better understanding of fear, how it affects all of us as clinicians for...

A new podcast from The BMJ, to help GP's feel more connected, heard, and supported. Subscribe on; Apple podcasts - https://bit.ly/applepodsDBI Spotify - https://bit.ly/spotifyDBI Google podcasts - https://bit.ly/googlepodsDBI In our first episode, we discuss the highs and lows of video consultations, and how coronavirus has altered the landscape...

How can we help frontline clinicians? Sometimes medics may feel uneasy or even guilty and that they could be doing more. That was what a junior doctor in Abergavenny in Wales felt and she did something about it. In this podcast, we speak to Josie Cheetham about how she started her initiative to provide support boxes in hospitals for her...

Katalin Susztak
Jan 1, 2006; 55:225-233
Complications

DE Kelley
May 1, 2000; 49:677-683
Articles

Dilys J. Freeman
May 1, 2002; 51:1596-1600
Complications

EJ Kurth-Kraczek
Aug 1, 1999; 48:1667-1671
Articles

Joseph G. Yu
Oct 1, 2002; 51:2968-2974
Obesity Studies

Michael P Stern
Apr 1, 1995; 44:369-374
Perspectives in Diabetes

Mariano J Garcia
Feb 1, 1974; 23:105-111
Original Contribution

Shane Rea
Nov 1, 1997; 46:1667-1677
Perspectives in Diabetes

Cindy J.M. Loomans
Jan 1, 2004; 53:195-199
Complications

Alan R Saltiel
Dec 1, 1996; 45:1661-1669
Perspectives in Diabetes

Markus Tiedge
Nov 1, 1997; 46:1733-1742
Original Article

Joachim Spranger
Mar 1, 2003; 52:812-817
Pathophysiology

Franz M Matschinsky
Feb 1, 1996; 45:223-241
Banting Lecture 1995

R A DeFronzo
Dec 1, 1981; 30:1000-1007
Original Contribution

Tatsuya Hayashi
Aug 1, 1998; 47:1369-1373
Rapid Publications

C. Ronald Kahn
Aug 1, 1994; 43:1066-1085
Banting Lecture

T Inoguchi
Nov 1, 2000; 49:1939-1945
Articles

Eve Van Cauter
Mar 1, 1992; 41:368-377
Original Article

D A Pan
Jun 1, 1997; 46:983-988
Original Article

D Koya
Jun 1, 1998; 47:859-866
Articles

Roger H Unger
Aug 1, 1995; 44:863-870
Perspectives in Diabetes

G Xu
Dec 1, 1999; 48:2270-2276
Articles

J. Denis McGarry
Jan 1, 2002; 51:7-18
Banting Lecture 2001

Paul E Lacy
Jan 1, 1967; 16:35-39
Original Contribution

The Diabetes Control and Complications Trial Research Group
Feb 1, 1997; 46:271-286
Original Article

The Diabetes Control and Complications Trial Research Group
Aug 1, 1995; 44:968-983
Original Article

David E. Cummings
Aug 1, 2001; 50:1714-1719
Rapid Publications

JW Baynes
Jan 1, 1999; 48:1-9
Articles

Norikazu Maeda
Sep 1, 2001; 50:2094-2099
Pathophysiology

Thomas A. Buchanan
Sep 1, 2002; 51:2796-2803
Pathophysiology

ME Griffin
Jun 1, 1999; 48:1270-1274
Articles

John W Baynes
Apr 1, 1991; 40:405-412
Perspectives in Diabetes

Ralph A DeFronzo
Jun 1, 1988; 37:667-687
Lilly Lecture 1987

Steven E Kahn
Nov 1, 1993; 42:1663-1672
Original Article

JC Henquin
Nov 1, 2000; 49:1751-1760
Articles

David E. Kelley
Oct 1, 2002; 51:2944-2950
Metabolism and Signal Transduction

BM Spiegelman
Apr 1, 1998; 47:507-514
Articles

HE Hohmeier
Mar 1, 2000; 49:424-430
Articles

Patrice D. Cani
Jun 1, 2008; 57:1470-1481
Metabolism

Michael Brownlee
Jun 1, 2005; 54:1615-1625
Banting Lecture 2004

National Diabetes Data Group
Dec 1, 1979; 28:1039-1057
Articles

Night shift work, behavioral rhythms, and the common MTNR1B risk single nucleotide polymorphism (SNP), rs10830963, associate with type 2 diabetes; however, whether they exert joint effects to exacerbate type 2 diabetes risk is unknown. Among employed participants of European ancestry in the UK Biobank (N = 189,488), we aimed to test the cross-sectional independent associations and joint interaction effects of these risk factors on odds of type 2 diabetes (n = 5,042 cases) and HbA_1c levels (n = 175,156). Current shift work, definite morning or evening preference, and MTNR1B rs10830963 risk allele associated with type 2 diabetes and HbA_1c levels. The effect of rs10830963 was not modified by shift work schedules. While marginal evidence of interaction between self-reported morningness-eveningness preference and rs10830963 on risk of type 2 diabetes was seen, this interaction did not persist when analysis was expanded to include all participants regardless of employment status and when accelerometer-derived sleep midpoint was used as an objective measure of morningness-eveningness preference. Our findings suggest that MTNR1B risk allele carriers who carry out shift work or have more extreme morningness-eveningness preference may not have enhanced risk of type 2 diabetes.

The placenta participates in maternal insulin sensitivity changes during pregnancy; however, mechanisms remain unclear. We investigated associations between maternal insulin sensitivity and placental DNA methylation markers across the genome. We analyzed data from 430 mother-offspring dyads in the Gen3G cohort. All women underwent 75-g oral glucose tolerance tests at ~26 weeks of gestation; we used glucose and insulin measures to estimate insulin sensitivity (Matsuda index). At delivery, we collected samples from placenta (fetal side) and measured DNA methylation using Illumina EPIC arrays. Using linear regression models to quantify associations at 720,077 cytosine-guanine dinucleotides (CpGs), with adjustment for maternal age, gravidity, smoking, BMI, child sex, and gestational age at delivery, we identified 188 CpG sites where placental DNA methylation was associated with Matsuda index (P < 6.94 x 10^–8). Among genes annotated to these 188 CpGs, we found enrichment in targets for miRNAs, in histone modifications, and in parent-of-origin DNA methylation including the H19/MIR675 locus (paternally imprinted). We identified 12 known placenta imprinted genes, including KCNQ1. Mendelian randomization analyses revealed five loci where placenta DNA methylation may causally influence maternal insulin sensitivity, including the maternally imprinted gene DLGAP2. Our results suggest that placental DNA methylation is fundamentally linked to the regulation of maternal insulin sensitivity in pregnancy.

Permanent neonatal diabetes mellitus (PNDM) is caused by reduced β-cell number or impaired β-cell function. Understanding of the genetic basis of this disorder highlights fundamental β-cell mechanisms. We performed trio genome sequencing for 44 patients with PNDM and their unaffected parents to identify causative de novo variants. Replication studies were performed in 188 patients diagnosed with diabetes before 2 years of age without a genetic diagnosis. EIF2B1 (encoding the eIF2B complex α subunit) was the only gene with novel de novo variants (all missense) in at least three patients. Replication studies identified two further patients with de novo EIF2B1 variants. In addition to having diabetes, four of five patients had hepatitis-like episodes in childhood. The EIF2B1 de novo mutations were found to map to the same protein surface. We propose that these variants render the eIF2B complex insensitive to eIF2 phosphorylation, which occurs under stress conditions and triggers expression of stress response genes. Failure of eIF2B to sense eIF2 phosphorylation likely leads to unregulated unfolded protein response and cell death. Our results establish de novo EIF2B1 mutations as a novel cause of permanent diabetes and liver dysfunction. These findings confirm the importance of cell stress regulation for β-cells and highlight EIF2B1’s fundamental role within this pathway.

Children at increased genetic risk for type 1 diabetes (T1D) after environmental exposures may develop pancreatic islet autoantibodies (IA) at a very young age. Metabolic profile changes over time may imply responses to exposures and signal development of the first IA. Our present research in The Environmental Determinants of Diabetes in the Young (TEDDY) study aimed to identify metabolome-wide signals preceding the first IA against GAD (GADA-first) or against insulin (IAA-first). We profiled metabolomes by mass spectrometry from children’s plasma at 3-month intervals after birth until appearance of the first IA. A trajectory analysis discovered each first IA preceded by reduced amino acid proline and branched-chain amino acids (BCAAs), respectively. With independent time point analysis following birth, we discovered dehydroascorbic acid (DHAA) contributing to the risk of each first IA, and -aminobutyric acid (GABAs) associated with the first autoantibody against insulin (IAA-first). Methionine and alanine, compounds produced in BCAA metabolism and fatty acids, also preceded IA at different time points. Unsaturated triglycerides and phosphatidylethanolamines decreased in abundance before appearance of either autoantibody. Our findings suggest that IAA-first and GADA-first are heralded by different patterns of DHAA, GABA, multiple amino acids, and fatty acids, which may be important to primary prevention of T1D.

The cardiovascular benefits of fibrates have been shown to be heterogeneous and to depend on the presence of atherogenic dyslipidemia. We investigated whether genetic variability in the PPARA gene, coding for the pharmacological target of fibrates (PPAR-α), could be used to improve the selection of patients with type 2 diabetes who may derive cardiovascular benefit from addition of this treatment to statins. We identified a common variant at the PPARA locus (rs6008845, C/T) displaying a study-wide significant influence on the effect of fenofibrate on major cardiovascular events (MACE) among 3,065 self-reported white subjects treated with simvastatin and randomized to fenofibrate or placebo in the ACCORD-Lipid trial. T/T homozygotes (36% of participants) experienced a 51% MACE reduction in response to fenofibrate (hazard ratio 0.49; 95% CI 0.34–0.72), whereas no benefit was observed for other genotypes (P_interaction = 3.7 x 10^–4). The rs6008845-by-fenofibrate interaction on MACE was replicated in African Americans from ACCORD (N = 585, P = 0.02) and in external cohorts (ACCORD-BP, ORIGIN, and TRIUMPH, total N = 3059, P = 0.005). Remarkably, rs6008845 T/T homozygotes experienced a cardiovascular benefit from fibrate even in the absence of atherogenic dyslipidemia. Among these individuals, but not among carriers of other genotypes, fenofibrate treatment was associated with lower circulating levels of CCL11—a proinflammatory and atherogenic chemokine also known as eotaxin (P for rs6008845-by-fenofibrate interaction = 0.003). The GTEx data set revealed regulatory functions of rs6008845 on PPARA expression in many tissues. In summary, we have found a common PPARA regulatory variant that influences the cardiovascular effects of fenofibrate and that could be used to identify patients with type 2 diabetes who would derive benefit from fenofibrate treatment, in addition to those with atherogenic dyslipidemia.

Long-term hyperglycemia in patients with diabetes leads to human serum albumin (HSA) glycation, which may impair HSA function as a transport protein and affect the therapeutic efficacy of anticoagulants in patients with diabetes. In this study, a novel mass spectrometry approach was developed to reveal the differences in the profiles of HSA glycation sites between patients with diabetes and healthy subjects. K199 was the glycation site most significantly changed in patients with diabetes, contributing to different interactions of glycated HSA and normal HSA with two types of anticoagulant drugs, heparin and warfarin. An in vitro experiment showed that the binding affinity to warfarin became stronger when HSA was glycated, while HSA binding to heparin was not significantly influenced by glycation. A pharmacokinetic study showed a decreased level of free warfarin in the plasma of diabetic rats. A preliminary retrospective clinical study also revealed that there was a statistically significant difference in the anticoagulant efficacy between patients with diabetes and patients without diabetes who had been treated with warfarin. Our work suggests that larger studies are needed to provide additional specific guidance for patients with diabetes when they are administered anticoagulant drugs or drugs for treating other chronic diseases.