Risk Of Incident Diabetes Research Articles

Associations of plasma sphingolipids with measures of insulin sensitivity, β-cell function, and incident diabetes in Japanese Americans

Background and aimsTo prospectively investigate associations of plasma sphingolipids with insulin sensitivity, β-cell function, and incident diabetes in the Japanese American Community Diabetes Study. Methods and resultsBaseline plasma samples from adults without diabetes (n = 349; mean age 56.7 years, 51 % men) were assayed for circulating ceramide and sphingomyelin species. Adjusted regression models examined cross-sectional and longitudinal associations with insulin sensitivity (HOMA2-%S), β-cell function (oral disposition index: DIo) and with incident diabetes over 5 years follow-up. Concentrations of four species (Ceramide C16:0, C18:0, C20:0, and C22:0) were inversely associated with HOMA2-%S at baseline (all P values < 0.05, Q values < 0.05) and change in HOMA2-%S over 5 years (all P values < 0.05, Q values < 0.05). No sphingolipids were associated with baseline or change in DIo. Of the four species associated with HOMA2-%S, only Ceramide C18:0 was significantly and positively associated with incident diabetes (RR/1SD 1.44, 95 % CI 1.10–1.80, P = 0.006, Q = 0.024). The association of plasma Ceramide C18:0 with the risk of diabetes was partially mediated by change in HOMA2-%S between baseline and 5 years (mediation proportion: 61.5 %, 95 % CI 21.1%–212.5 %). ConclusionPlasma Ceramide C18:0 was associated with higher risk of incident diabetes which was partially mediated through a decrease in insulin sensitivity between baseline and five years. Circulating Ceramide C18:0 could be a potential biomarker for identifying those at risk of developing diabetes.

Trajectory patterns of metabolic syndrome severity score and risk of type 2 diabetes

BackgroundThe available evidence indicates that the severity of metabolic syndrome tends to worsen progressively over time. We assessed the trajectory of age and sex-specific continuous MetS severity score (cMetS-S) and its association with the development of diabetes during an 18-year follow-up.MethodsIn a prospective population-based Tehran Lipid and Glucose Study, 3931 eligible participants free of diabetes, aged 20–60 years, were followed at three-year intervals. We examined the trajectories of cMetS-S over nine years using latent growth mixture modeling (LGMM) and subsequent risks of incident diabetes eight years later. The prospective association of identified trajectories with diabetes was examined using the Cox proportional hazard model adjusting for age, sex, education, and family history of diabetes, physical activity, obesity (BMI ≥ 30 kg/m2), antihypertensive and lipid-lowering medication, and baseline fasting plasma glucose in a stepwise manner.ResultsAmong 3931 participants, three cMetS-S trajectory groups of low (24.1%), medium (46.8%), and high (29.1%) were identified during the exposure period. Participants in the medium and high cMetS-S trajectory classes had HRs of 2.44 (95% CI: 1.56–3.81) and 6.81 (95% CI: 4.07–10.01) for future diabetes in fully adjusted models, respectively. Normoglycemic individuals within the high cMetS-S class had an over seven-fold increased risk of diabetes (HR: 7.12; 95% CI: 6.05–12.52).ConclusionAlthough most adults exhibit an unhealthy metabolic score, its severity usually remains stable throughout adulthood over ten years of follow-up. The severity score of metabolic syndrome has the potential to be utilized as a comprehensive and easily measurable indicator of cardiometabolic dysfunction. It can be employed in clinical settings to detect and track individuals at a heightened risk of developing T2DM, even if their glucose levels are normal.

Use of sugar in coffee and tea and long-term risk of mortality in older adult Danish men: 32 years of follow-up from a prospective cohort study.

Tea and coffee are the most consumed beverages worldwide and very often sweetened with sugar. However, the association between the use of sugar in tea or coffee and adverse events is currently unclear. To investigate the association between the addition of sugar to coffee or tea, and the risk of all-cause mortality, cardiovascular mortality, cancer mortality and incident diabetes mellitus. Participants from the prospective Copenhagen Male Study, included from 1985 to 1986, without cardiovascular disease, cancer or diabetes mellitus at inclusion, who reported regular coffee or tea consumption were included. Self-reported number of cups of coffee and tea and use of sugar were derived from the study questionnaires. Quantity of sugar use was not reported. Primary outcome was all-cause mortality and secondary endpoints were cardiovascular mortality, cancer mortality and incident diabetes mellitus, all assessed through the Danish national registries. The association between adding sugar and all-cause mortality was analyzed by Cox regression analysis. Age, smoking status, daily alcohol intake, systolic blood pressure, body mass index, number of cups of coffee and/or tea consumed per day and socioeconomic status were included as covariates. Vital status of patients up and until 22.03.2017 was assessed. Sugar could be added to either coffee, tea or both. In total, 2923 men (mean age at inclusion: 63±5 years) were included, of which 1007 (34.5%) added sugar. In 32 years of follow-up, 2581 participants (88.3%) died, 1677 in the non-sugar group (87.5%) versus 904 in the sugar group (89.9%). Hazard ratio of the sugar group compared to the non-sugar group was 1.06 (95% CI 0.98;1.16) for all-cause mortality. An interaction term between number of cups of coffee and/or tea per day and adding sugar was 0.99 (0.96;1.01). A subgroup analysis of coffee-only drinkers showed a hazard ratio of 1.11 (0.99;1.26). The interaction term was 0.98 (0.94;1.02). Hazard ratios for the sugar group compared to the non-sugar group were 1.11 (95% CI 0.97;1.26) for cardiovascular disease mortality, 1.01 (95% CI 0.87;1.17) for cancer mortality and 1.04 (95% CI 0.79;1.36) for incident diabetes mellitus. In the present population of Danish men, use of sugar in tea and/or coffee was not significantly associated with increased risk of mortality or incident diabetes.

OR34-01 Incidence Of Diabetes Following COVID-19 Vaccination And SARS-CoV-2 Infection: A Population-Based Cohort Study

Abstract Disclosure: D. Lui: None. X. Xi: None. M. Chung: None. I. Au: None. F. Lai: None. E. Wan: None. C. Chui: None. X. Li: None. F. Cheng: None. C. Cheung: None. E. Chan: None. C. Lee: None. Y. Woo: None. K.C. Tan: None. C. Wong: None. I. Wong: None. Objectives: The risk of incident diabetes following COVID-19 vaccination remains to be evaluated. Also, it is unclear whether the risk of incident diabetes after SARS-CoV-2 infection is modified by vaccination status or differs by SARS-CoV-2 variants. We evaluated the incidence of diabetes following mRNA (BNT162b2), inactivated (CoronaVac) COVID-19 vaccines, and after SARS-CoV-2 infection. Methods: Two separate COVID-19 vaccination and infection cohorts were extracted from a population-based electronic health database in Hong Kong. The vaccination cohort included people who received ≥ 1 dose of COVID-19 vaccine between February and September 2021, matched with those who did not receive any COVID-19 vaccines up to September 2021. The infection cohort consisted of confirmed COVID-19 patients between January 2020 and March 2022, and people who were never infected up to March 2022. Both cohorts were followed until 15 August 2022. COVID-19 vaccine recipients and COVID-19 patients were 1:1 matched to their respective controls using propensity score. Hazard ratios (HRs) for incident diabetes were estimated using Cox regression models. Results: In the vaccination cohort, we included 167337 CoronaVac and 158378 BNT162b2 recipients with their respective 1:1 matched control. 442 (0.3%) CoronaVac recipients and 693 (0.4%) BNT162b2 recipients were COVID-19 survivors. Upon median follow-up (FU) of 13 months (IQR 11-14), CoronaVac or BNT162b2 vaccination was not associated with increased risks of incident diabetes (CoronaVac: HR=1.00 [95%CI 0.96-1.04]; BNT162b2: HR=0.86 [95%CI 0.83-0.90]), regardless of type 1 or 2. In the infection cohort, we included 145199 COVID-19 patients and 145199 matched controls. Among COVID-19 survivors, 60348 (41.6%) were fully vaccinated and 25792 (17.8%) did not receive any COVID-19 vaccines. Upon median FU of 5 months (IQR 5-6), 2109 COVID-19 patients (all type 2 diabetes) and 1775 non-COVID-19 people (one case of type 1 diabetes) were diagnosed with diabetes following SARS-CoV-2 infection. SARS-CoV-2 infection was associated with significantly higher risk of incident diabetes (1.45% vs 1.22%, HR=1.23 [95%CI 1.15-1.31]) regardless of the predominant circulating variants (non-Omicron, HR=1.87 [95%CI 1.35-2.59]; Omicron, HR=1.21 [95%CI 1.13-1.29]), albeit lower with Omicron variants (p for interaction=0.009). Subgroup analysis showed that fully vaccinated COVID-19 survivors did not have increased risk of incident diabetes (HR=1.01 [95%CI 0.90-1.12]). Conclusions: COVID-19 vaccination was not associated with increased risk of incident diabetes. The risk of incident diabetes increased following SARS-CoV-2 infection, mainly type 2 diabetes. The excess risk was lower, but still statistically significant, for Omicron variants. Fully vaccinated individuals might be protected from the risk of incident diabetes following SARS-CoV-2 infection. Presentation: Sunday, June 18, 2023

SAT596 Evidence That Corticotropin-releasing Hormone Receptor 2 Activation Mediates Stress-induced Hyperglycemia

Abstract Disclosure: R.B. McCosh: None. M.J. Kreisman: None. J. Jang: None. J. Jung: None. K.M. Breen Church: None. Stress-induced hyperglycemia refers to the transient increase in blood glucose (BG) levels during stress, which occurs in healthy and diabetic patients. In critically ill patients, stress-induced hyperglycemia is associated with a 2-fold increase in risk of incident diabetes. Thus, stress-induced hyperglycemia is a predictor of or may contribute to glucose dysregulation. In mice, activation of catecholamine neurons in the rostral ventral lateral medulla (rVLM) is necessary for stress-induced hyperglycemia; however, the mechanism by which these cells become activated during stress is not clear. Here, we tested the possibility that corticotropin-releasing hormone receptor 2 (CRHR2) signaling mediates stress-induced hyperglycemia in adult, ovariectomized mice. First, BG levels and rVLM cell activation were examined in two stress models. For psychosocial stress, BG levels were not altered by control treatment. In contrast, placement in a restraint device increased BG levels ∼2-fold, within 30 min, from pretreatment values and BG remained elevated for an additional 90 min. For immune stress, BG was significantly elevated (21% increase) at 30 min post IP injection of lipopolysaccharide (LPS, 10ng/g bw), then returned to baseline levels whereas BG levels were not altered from pretreatment levels in saline injected mice. In tissue collected 2 hr after initiation of restraint stress, the percentage of tyrosine hydroxylase (TH, marker of catecholamine cells) neurons in the rVLM that contained c-Fos (a marker of neural activation) was significantly greater than control mice. Next, we assessed the sufficiency of CRHR2 activation to induce hyperglycemia using the CRHR2 agonist urocortin 2 (UCN2), injected intracerebroventricular (ICV). BG was significantly increased 30 min after injection of both saline and UCN2 (60-80%); however, BG subsequently returned to baseline in saline-treated mice, but remained elevated in mice that received UCN2, similar to restraint stress. To test necessity of CRHR2 activation to induce hyperglycemia, we delivered ICV either the specific CRHR2 antagonist Astressin 2B (A2B) or saline 1 hr before psychosocial or immune stress. In no stress controls, A2B did not alter BG levels compared to saline, yet, BG levels in both groups decreased over time. BG levels were elevated in saline-treated controls 30 min after restraint stress; and, this increase was delayed, although not prevented, by 30 min by A2B pre-treatment. Following LPS injection, BG was increased at 30 min then decreased relative to baseline in saline-treated controls; yet, A2B pre-treatment blocked these changes. Together these data support the hypothesis that CRHR2 signaling is an important mediator of stress-induced hyperglycemia. Assessment of rVLM TH cells is ongoing. Presentation: Saturday, June 17, 2023

Redefining Comorbid Insomnia and Sleep Apnea: The Association of Sleep Breathing Impairment and Insomnia with Incident Diabetes.

Rationale: Obstructive sleep apnea (OSA) is a prevalent sleep disorder that is frequently comorbid with insomnia and often accompanied by metabolic diseases such as type 2 diabetes. Although the apnea-hypopnea index (AHI) is currently the diagnostic criterion for gauging the severity of OSA, the AHI has not consistently predicted incident diabetes. Objectives: To test whether a combined insomnia-OSA (COMISA) phenotype based on comorbid insomnia and sleep breathing impairment index (COMISA-SBII) predicts incident diabetes and to compare the association with an AHI definition of COMISA (COMISA-AHI) in the MrOS (Osteoporotic Fractures in Men) study. Methods: The study samples came from participants in the MrOS sleep study without diabetes at their baseline examination. The SBII was derived as the product of the duration of each respiratory event (apnea and hypopnea) and the accompanying desaturation area from baseline unattended polysomnography. A subgroup of individuals classified as having comorbid insomnia (difficulties falling asleep, waking up in the middle of the night and/or early morning awakenings >15 times per month, and daytime impairments) and sleep breathing impairment (greater than 50th percentile of SBII) were identified at baseline. The primary outcome was incident diabetes during the follow-up visits. Cox proportional models were built to assess the adjusted hazard ratios of COMISA-AHI and COMISA-SBII. Prediction model performances of incident diabetes were compared across different models. Results: A total of 2,365 men (mean age, 76 yr) without diabetes at baseline were included. During a median follow-up of 10.0 years, diabetes developed in 181. After adjusting for demographic characteristics, comorbidities, and behavioral risk factors, participants with COMISA-SBII had a higher risk of incident diabetes (hazard ratio, 1.82; 95% confidence interval, 1.15-2.89) than those without sleep disorders (those with an SBII ⩽13.17 and no insomnia). The result remained significant in the risk competing model. Compared with COMISA-AHI, the addition of COMISA-SBII to a crude model with established risk factors significantly improved the predictive value of incident diabetes. Conclusions: COMISA-SBII, but not COMISA-AHI, predicted incident diabetes after accounting for multiple covariates in a cohort of older men. A comorbid insomnia phenotype based on SBII plus insomnia symptoms may be an important clinical subtype.

Serum albumin and risk of incident diabetes and diabetic microvascular complications in the UK Biobank cohort

AimTo examine the associations between serum albumin and the incidences of diabetes and diabetic microvascular complications in participants of the UK Biobank cohort. MethodsThere were 398,146 participants without diabetes and 30,952 patients with diabetes from the UK Biobank cohort included in this study. Multivariate-adjusted Cox proportional hazard models were used to analyze the association of albumin with the incidences of diabetes and diabetic microvascular complications. Mendelian randomization (MR) analysis was used to determine the genetic relationships between serum albumin and diabetes. ResultsAfter a median 12.90 years follow-up, 14,710 participants developed incident diabetes (58.83 ± 7.52 years, 56.10% male). After multivariate adjustment, serum albumin was inversely associated with incident diabetes: hazard ratio (HR) [95% confidence interval] per 10 g/l increase 0.88 [0.82;0.94]. MR analyses suggested a potential genetic influence of serum albumin on diabetes in both the UK Biobank and the FinnGen consortium: odds ratios (ORs) [95% confidence interval per 1 g/l increase 0.99 [0.98;1.00] and 0.78 [0.67;0.92], respectively. In patients with diabetes, higher serum albumin levels were significantly associated with lower risk for diabetic microvascular complications. Specifically, per 10 g/l increase in serum albumin, the HRs for diabetic nephropathy, ophthalmopathy, and neuropathy were 0.42 [0.30;0.58], 0.61 [0.52;0.72], and 0.67 [0.51;0.88], respectively. ConclusionIn this large prospective study, serum levels of albumin were inversely associated with the incidences of diabetes and diabetic microvascular complications. These findings underscore the importance of maintaining optimal nutrient status in reducing the risk of diabetes and its complications.

Relationship between daytime napping with the occurrence and development of diabetes: a systematic review and meta-analysis

ObjectiveTo determine the relationship of napping with incident diabetes risk and glycaemic control in people with diabetes.DesignSystematic review and meta-analysis.Data sourcesMEDLINE (PubMed), EMBASE, Web of Science and the Cochrane Library...

New-Onset Diabetes after an Obesity-Related Cancer Diagnosis and Survival Outcomes in the Women's Health Initiative.

Individuals diagnosed with an obesity-related cancer (ORC survivors) are at an elevated risk of incident diabetes compared with cancer-free individuals, but whether this confers survival disadvantage is unknown. We assessed the rate of incident diabetes in ORC survivors and evaluated the association of incident diabetes with all-cause and cancer-specific mortality among females with ORC in the Women's Health Initiative cohort (N = 14,651). Cox proportional hazards regression models stratified by exposure-risk periods (0-1, >1-3, >3-5, >5-7, and >7-10 years) from ORC diagnosis and time-varying exposure (diabetes) analyses were performed. Among the ORC survivors, a total of 1.3% developed diabetes within ≤1 year of follow-up and 2.5%, 2.3%, 2.3%, and 3.6% at 1-3, 3-5, 5-7, and 7-10 years of follow-up, respectively, after an ORC diagnosis. The median survival for those diagnosed with diabetes within 1-year of cancer diagnosis and those with no diabetes diagnosis in that time frame was 8.8 [95% confidence interval (CI), 7.0-14.5) years and 16.6 (95% CI, 16.1-17.0) years, respectively. New-onset compared with no diabetes as a time-varying exposure was associated with higher risk of all-cause (HR, 1.27; 95% CI, 1.16-1.40) and cancer-specific (HR, 1.17; 95% CI, 0.99-1.38) mortality. When stratified by exposure-risk periods, incident diabetes in ≤1 year of follow-up was associated with higher all-cause (HR, 1.76; 95% CI, 1.40-2.20) and cancer-specific (HR0-1, 1.82; 95% CI, 1.28-2.57) mortality, compared with no diabetes diagnosis. Incident diabetes was associated with worse cancer-specific and all-cause survival, particularly in the year after cancer diagnosis. These findings draw attention to the importance of diabetes prevention efforts among cancer survivors to improve survival outcomes.

Correlation of fatty index liver with incident diabetes risk in statin-treated patients: A 6-year retrospective study

Correlation of fatty index liver with incident diabetes risk in statin-treated patients: A 6-year retrospective study

Energy-Adjusted Dietary Inflammatory Index and Diabetes Risk in Postmenopausal Hispanic Women

BackgroundType 2 diabetes is a major public health concern in the United States and worldwide. The dietary inflammatory index (DII) and the energy-adjusted DII (E-DII) are tools that assess dietary inflammation. Previous evidence suggests that obesity can modify the association between inflammation and disease. ObjectiveThe aim of this study was to evaluate the association between the DII/E-DII and incident diabetes in self-identified Hispanic women from the Women’s Health Initiative (WHI). The secondary aim was to evaluate whether obesity modifies the association between the DII/E-DII scores and incident diabetes. DesignParticipants were from the WHI Observational Study and the Clinical Trial Components (except women from the treatment arm in the Dietary Modification Trial) conducted among postmenopausal women in the United States. DII/E-DII scores were calculated from a self-administered food frequency questionnaire at baseline that included 122 food items, of which 12 are representative of Hispanic eating patterns. Participants/settingsParticipants included 3,849 postmenopausal women who self-identified as Hispanic that were recruited for the WHI from 1993 to 1998 at 40 US clinical centers. Main outcome measuresThe outcome was incident diabetes. Statistical analysis performedCox regression models were used to assess the association between DII/E-DII and incident diabetes. Models were adjusted for age at baseline, lifestyle-related risk factors, known type 2 diabetes mellitus (T2DM) risk factors, and neighborhood socioeconomic status. Interaction was tested between the DII/E-DII scores and obesity. ResultsThe incidence of diabetes was 13.1% after a median follow-up of 13 years. Higher E-DII scores were associated with a higher risk of incident diabetes (hazard ratio [HR], 1.09; 95% confidence interval [CI], 1.04–1.14). There was no interaction between E-DII scores and obesity (P = 0.73). ConclusionsPro-inflammatory diets, as measured by higher E-DII scores, were associated with a higher risk of incident diabetes. Future research is needed for understanding how the inflammatory potential of diets can be decreased.

Incidence of diabetes following COVID-19 vaccination and SARS-CoV-2 infection in Hong Kong: A population-based cohort study.

The risk of incident diabetes following Coronavirus Disease 2019 (COVID-19) vaccination remains to be elucidated. Also, it is unclear whether the risk of incident diabetes after Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection is modified by vaccination status or differs by SARS-CoV-2 variants. We evaluated the incidence of diabetes following mRNA (BNT162b2), inactivated (CoronaVac) COVID-19 vaccines, and after SARS-CoV-2 infection. In this population-based cohort study, individuals without known diabetes were identified from an electronic health database in Hong Kong. The first cohort included people who received ≥1 dose of COVID-19 vaccine and those who did not receive any COVID-19 vaccines up to September 2021. The second cohort consisted of confirmed COVID-19 patients and people who were never infected up to March 2022. Both cohorts were followed until August 15, 2022. A total of 325,715 COVID-19 vaccine recipients (CoronaVac: 167,337; BNT162b2: 158,378) and 145,199 COVID-19 patients were 1:1 matched to their respective controls using propensity score for various baseline characteristics. We also adjusted for previous SARS-CoV-2 infection when estimating the conditional probability of receiving vaccinations, and vaccination status when estimating the conditional probability of contracting SARS-CoV-2 infection. Hazard ratios (HRs) and 95% confidence intervals (CIs) for incident diabetes were estimated using Cox regression models. In the first cohort, we identified 5,760 and 4,411 diabetes cases after receiving CoronaVac and BNT162b2 vaccines, respectively. Upon a median follow-up of 384 to 386 days, there was no evidence of increased risks of incident diabetes following CoronaVac or BNT162b2 vaccination (CoronaVac: 9.08 versus 9.10 per 100,000 person-days, HR = 0.998 [95% CI 0.962 to 1.035]; BNT162b2: 7.41 versus 8.58, HR = 0.862 [0.828 to 0.897]), regardless of diabetes type. In the second cohort, we observed 2,109 cases of diabetes following SARS-CoV-2 infection. Upon a median follow-up of 164 days, SARS-CoV-2 infection was associated with significantly higher risk of incident diabetes (9.04 versus 7.38, HR = 1.225 [1.150 to 1.305])-mainly type 2 diabetes-regardless of predominant circulating variants, albeit lower with Omicron variants (p-interaction = 0.009). The number needed to harm at 6 months was 406 for 1 additional diabetes case. Subgroup analysis revealed no evidence of increased risk of incident diabetes among fully vaccinated COVID-19 survivors. Main limitations of our study included possible misclassification bias as type 1 diabetes was identified through diagnostic coding and possible residual confounders due to its observational nature. There was no evidence of increased risks of incident diabetes following COVID-19 vaccination. The risk of incident diabetes increased following SARS-CoV-2 infection, mainly type 2 diabetes. The excess risk was lower, but still statistically significant, for Omicron variants. Fully vaccinated individuals might be protected from risks of incident diabetes following SARS-CoV-2 infection.

Regression of nonalcoholic fatty liver disease is associated with reduced risk of incident diabetes: A longitudinal cohort study.

Non-alcoholic fatty liver disease (NAFLD) is potentially reversible. However, whether improvement of NAFLD leads to clinical benefits remains uncertain. We investigated the association between regression of NAFLD and the risk of incident diabetes in a longitudinal way. A cohort of 11,260 adults who had NAFLD at in an initial exam, had the second evaluation for NAFLD status at 1~2 years from an initial exam were followed up for incident diabetes from 2001 and 2016. NAFLD was diagnosed with abdominal ultrasound. At baseline, NAFLD was regressed in 2,559 participants (22.7%). During 51,388 person-years of follow-up (median 4 years), 1,768 participants developed diabetes. The fully adjusted hazard ratio (HR) for incident diabetes in participants with regressed NAFLD compared to those with persistent NAFLD was 0.81 [95% confidence interval (CI) 0.72-0.92]. When assessed by NAFLD severity, among participants with a low NAFLD fibrosis score (NFS) (< -1.455), participants with regressed NAFLD had a lower risk of incident diabetes than those with persistent NAFLD (HR 0.77, 95% CI 0.68-0.88). However, in participants with an intermediate to high NFS (≥ -1.455), the risk of incident diabetes was not different between NAFLD regression and persistence groups (HR 1.12, 95% CI 0.82-1.51). Regression of NAFLD was associated with decreased risk of incident diabetes compared to persistent NAFLD. However, the benefit was evident only for NAFLD patients with low NFS. This suggests that early intervention for NAFLD, before advanced fibrosis is present, may maximize the metabolic benefit from NAFLD regression.

Association between serum LDL-C concentrations and risk of diabetes: A prospective cohort study.

Low-density lipoprotein cholesterol (LDL-C) and diabetes mellitus are both modifiable risk factors for cardiovascular disease; however, whether elevated LDL-C levels confer a risk for diabetes remains unclear. We aimed to examine the association between serum LDL-C concentrations at baseline and the risk of developing diabetes at follow-up in the general population of Chinese adults. This study included 5274 adults aged ≥ 40 years from a community cohort who were without diabetes and followed for a median of 4.4 years. A standard 75-g oral glucose tolerance test was conducted at baseline and follow-up visits to diagnose diabetes. Logistic regression models and a restricted cubic spline were used to examine the association between baseline serum LDL-C levels and the risk of diabetes development. Subgroup analyses were conducted stratifying on age, sex, body mass index, hypertension, family history of diabetes, and LDL-C levels. A total of 652 participants (12%) developed diabetes during the follow-up period. Compared to quartile 1 of serum LDL-C, quartiles 2, 3, and 4 were associated with a 30%, 33%, and 30% significantly higher risk of diabetes, respectively after adjustment for confounders including homeostatic model assessment for insulin resistance. The linear relationship between baseline LDL-C down to 30.1 mg/dL and incident diabetes was demonstrated by restricted cubic spline analysis, and each 1-SD increase in LDL-C concentration (28.5 mg/dL) was associated with a 12% increase in the risk of diabetes (odds ratio 1.12, 95% confidence interval 1.03-1.22). In this community-based general population, higher serum LDL-C levels were linearly associated with an elevated risk of incident diabetes.

Supra-additive effect of chronic inflammation and atherogenic dyslipidemia on developing type 2 diabetes among young adults: a prospective cohort study

BackgroundBoth elevated inflammation and atherogenic dyslipidemia are prominent in young-onset diabetes and are increasingly identified as biologically intertwined processes that contribute to diabetogenesis. We aimed to investigate the age-specific risks of type 2 diabetes (T2D) upon concomitant chronic inflammation and atherogenic dyslipidemia.MethodsAge-stratified Cox regression analysis of the risk of incident diabetes upon co-exposure to time-averaged cumulative high-sensitivity C-reactive protein (CumCRP) and atherogenic index of plasma (CumAIP) among 42,925 nondiabetic participants from a real-world, prospective cohort (Kailuan Study).ResultsDuring a median 6.41 years of follow-up, 3987 T2D developed. Isolated CumAIP and CumCRP were significantly associated with incident T2D in the entire cohort and across all age subgroups. Both CumAIP and CumCRP were jointly associated with an increased risk of diabetes (P-interaction = 0.0126). Compared to CumAIP < -0.0699 and CumCRP < 1 mg/L, co-exposure to CumAIP ≥ − 0.0699 and CumCRP ≥ 3 mg/L had a significant hazard ratio (HR) [2.55 (2.23–2.92)] after adjusting for socio-demographic, life-style factors, family history of diabetes, blood pressure, renal function and medication use. The co-exposure-associated risks varied greatly by age distribution (P-interaction = 0.0193): < 40 years, 6.26 (3.47–11.28); 40–49 years, 2.26 (1.77–2.89); 50–59 years, 2.51 (2.00–3.16); 60–69 years, 2.48 (1.86–3.30); ≥ 70 years, 2.10 (1.29–3.40). In young adults (< 45 years), both exposures had a significant supra-additive effect on diabetogenesis (relative excess risk due to interaction: 0.80, 95% CI 0.10–1.50).ConclusionsThese findings highlight the need for age-specific combined assessment and management of chronic inflammation and dyslipidemia in primary prevention against T2D, particularly for young adults. The clinical benefit derived from dual-target intervention against dyslipidemia and inflammation will exceed the sum of each part alone in young adults.

Oral health status and risk of incident diabetes: A prospective cohort study of 213,389 individuals aged 45 and over

AimsTo examine whether simple measures of oral health are associated with incident diabetes. MethodsThis prospective cohort study linked data from the 45 and Up Study, Australia, to administrative health records. The study participants were 213,389 men and women, aged ≥45 years, with no diabetes at baseline. The oral health of participants was assessed by questionnaire. Incident diabetes cases were ascertained based on self-report in follow-up questionnaires, linked data on medical and pharmaceutical claims, and hospitalisation data up until 2019. The association between oral health and incident diabetes were calculated using multivariable cox proportional hazards models. ResultsDuring 2,232,215 person-years of follow-up, 20,487 (9.6%) participants developed diabetes. Compared with those with ≥20 teeth, the adjusted hazard ratio (aHR) for incident diabetes was 1.12 (95% Confidence Interval (CI): 1.08, 1.17) for 10–19 teeth, 1.20 (1.14, 1.26) for 1–9 teeth and 1.15 (1.09, 1.21) for no teeth. Compared with those with excellent/very good teeth and gums, the aHR for incident diabetes was 1.07 (1.03, 1.12) for fair and 1.13 (1.07, 1.20) for poor teeth and gums. ConclusionsSimple measures of oral health were associated with risk of developing diabetes, demonstrating the potential importance of oral health screening for diabetes prevention.

Greater Severity of Steatosis Is Associated with a Higher Risk of Incident Diabetes: A Retrospective Longitudinal Study.

Fatty liver is associated with increased risk of developing type 2 diabetes. We aimed to evaluate whether the severity of hepatic steatosis is associated with incident diabetes. We conducted a longitudinal analysis using data from 1,798 participants who underwent a comprehensive health checkup and abdominal computed tomography (CT). We assessed the association between baseline liver attenuation value on non-contrast CT images and risk of incident diabetes. All the participants were categorized into three groups based on the baseline liver attenuation value on non-contrast CT images: without hepatic steatosis (>57 Hounsfield unit [HU]), mild hepatic steatosis (41-57 HU), and moderate to severe hepatic steatosis (≤40 HU). During a median follow-up period of 5 years, 6.0% of the study participants progressed to diabetes. The incidence of diabetes was 17.3% in the moderate to severe hepatic steatosis group, 9.0% in the mild steatosis group, and 2.9% in those without hepatic steatosis. In a multivariate adjustment model, as compared with participants without hepatic steatosis, those with moderate to severe steatosis had a hazard ratio (HR) of 3.24 (95% confidence interval [CI], 1.64 to 4.2) for the development of diabetes, and those in the mild steatosis group had a HR of 2.33 (95% CI, 1.42 to 3.80). One standard deviation decrease in mean CT attenuation values of the liver was associated with a 40% increase in the development of diabetes (multivariate adjusted HR, 1.40; 95% CI, 1.2 to 1.63). We found a positive association between severity of hepatic steatosis and risk of incident diabetes. Greater severity of steatosis was associated with a higher risk of incident diabetes.

Differences in DNA methylation of HAMP in blood cells predicts the development of type 2 diabetes

ObjectivesBetter disease management can be achieved with earlier detection through robust, sensitive, and easily accessible biomarkers. The aim of the current study was to identify novel epigenetic biomarkers determining the risk of type 2 diabetes (T2D). MethodsLivers of 10-week-old female New Zealand Obese (NZO) mice, slightly differing in their degree of hyperglycemia and liver fat content and thereby in their diabetes susceptibility were used for expression and methylation profiling. We screened for differences in hepatic expression and DNA methylation in diabetes-prone and -resistant mice, and verified a candidate (HAMP) in human livers and blood cells. Hamp expression was manipulated in primary hepatocytes and insulin-stimulated pAKT was detected. Luciferase reporter assays were conducted in a murine liver cell line to test the impact of DNA methylation on promoter activity. ResultsIn livers of NZO mice, the overlap of methylome and transcriptome analyses revealed a potential transcriptional dysregulation of 12 hepatokines. The strongest effect with a 52% decreased expression in livers of diabetes-prone mice was detected for the Hamp gene, mediated by elevated DNA methylation of two CpG sites located in the promoter. Hamp encodes the iron-regulatory hormone hepcidin, which had a lower abundance in the livers of mice prone to developing diabetes. Suppression of Hamp reduces the levels of pAKT in insulin-treated hepatocytes. In liver biopsies of obese insulin-resistant women, HAMP expression was significantly downregulated along with increased DNA methylation of a homologous CpG site. In blood cells of incident T2D cases from the prospective EPIC-Potsdam cohort, higher DNA methylation of two CpG sites was related to increased risk of incident diabetes. ConclusionsWe identified epigenetic changes in the HAMP gene which may be used as an early marker preceding T2D.

Increased risk of incident diabetes in patients with MAFLD not meeting the criteria for NAFLD

We aimed to compare the risk of incident diabetes according to fatty liver disease (FLD) definition, focusing on the comparison between those who met criteria for either metabolic dysfunction-associated fatty liver disease (MAFLD) or nonalcoholic fatty liver disease (NAFLD) but not the other. This was a 5.0-year (interquartile range, 2.4–8.2) retrospective longitudinal cohort study of 21,178 adults who underwent at least two serial health checkup examinations. The presence of hepatic steatosis was determined by abdominal ultrasonography at the first health examination. Cox proportional hazard analyses were used to compare the risk of incident diabetes among five groups. Incident diabetes cases occurred in 1296 participants (6.1%). When non-FLD without metabolic dysfunction (MD) group was set as a reference, the risk of incident diabetes increased in the order of NAFLD-only, non-FLD with MD, both FLD, and MAFLD-only groups. The presence of excessive alcohol consumption and/or hepatitis B virus (HBV)/hepatitis C virus (HCV) infection, FLD, and MD synergistically increased the risk of incident diabetes. MAFLD-only group showed a greater increase in incidence of diabetes than non-FLD with MD and NAFLD-only groups. The interaction among excessive alcohol consumption, HBV/HCV infection, MD, and hepatic steatosis on the development of diabetes should not be overlooked.

An augmented likelihood approach for the Cox proportional hazards model with interval-censored auxiliary and validated outcome data-with application to the Hispanic Community Health Study/Study of Latinos.

In large epidemiologic studies, it is typical for an inexpensive, non-invasive procedure to be used to record disease status during regular follow-up visits, with less frequent assessment by a gold standard test. Inexpensive outcome measures like self-reported disease status are practical to obtain, but can be error-prone. Association analysis reliant on error-prone outcomes may lead to biased results; however, restricting analyses to only data from the less frequently observed error-free outcome could be inefficient. We have developed an augmented likelihood that incorporates data from both error-prone outcomes and a gold standard assessment. We conduct a numerical study to show how we can improve statistical efficiency by using the proposed method over standard approaches for interval-censored survival data that do not leverage auxiliary data. We extend this method for the complex survey design setting so that it can be applied in our motivating data example. Our method is applied to data from the Hispanic Community Health Study/Study of Latinos to assess the association between energy and protein intake and the risk of incident diabetes. In our application, we demonstrate how our method can be used in combination with regression calibration to additionally address the covariate measurement error in self-reported diet.