UNASSIGNED: Gallbladder cancer (GBC) is a rare malignancy of the digestive tract, characterized by a remarkably poor prognosis. Currently, there is a controversy on the relationship between type 2 diabetes (T2D) and GBC. Additionally, no definitive conclusions were established regarding the causal relationships between alcohol intake frequency (AIF), age at menarche (AAM) and GBC. The objective of this study was to elucidate the causal association between T2D, AIF, AAM, and GBC.
UNASSIGNED: Single-nucleotide polymorphisms (SNPs) associated with exposures and outcomes were sourced from the Integrative Epidemiology Unit (IEU) Open Genome-Wide Association Study (GWAS) database. Specifically, the data of GBC comprised 907 East Asians (pathological results of all cases were registered into Biobank Japan) and 425,707 SNPs; T2D comprised 655,666 Europeans with 5,030,727 SNPs; AIF comprised 462,346 Europeans and 9,851,867 SNPs; AAM comprised 243,944 Europeans and 9,851,867 SNPs. The measurement of exposure traits is collected uniformly from the UK Biobank (UKB) database and presented in the form of standard deviation (SD) or the logarithmic form of the odds ratio (logOR). We employed a two-sample Mendelian randomization (MR) analysis to discern the causalities between T2D, AIF, AAM, and GBC. Sensitivity analyses were conducted to identify and address potential heterogeneity, horizontal pleiotropy, and outliers.
UNASSIGNED: Our findings indicated that T2D reduced GBC risk [odds ratio (OR) =0.044; 95% confidence interval (CI): 0.004-0.55; P=0.015, inverse variance-weighted (IVW)]. However, no causal relationship was observed between AIF (OR =0.158; 95% CI: 5.33E-05 to 466.84; P=0.65, IVW), AAM (OR =0.19; 95% CI: 0.0003-140.34; P=0.62, IVW), and GBC. Sensitivity analysis revealed no evidence of horizontal pleiotropy, heterogeneity, or outliers, suggesting the robustness and reliability of our conclusions.
UNASSIGNED: T2D emerged as a potentially protective factor against GBC, whereas neither AIF nor AAM demonstrated a causal relationship with GBC risk. Regulation of glucose metabolism may be one of the methods for preventing GBC.

BACKGROUND: Multiple daily injection insulin regimen (MDI) represents the most intensive insulin regimen used in the management of people with type 2 diabetes (PwT2D). Its efficacy regarding glycaemic control is counterbalanced by the increased risk of hypoglycaemia, frequently observed tendency to weight gain and necessity for frequent glucose monitoring. Recent introduction of novel antidiabetic medications with pleiotropic effects reaching far beyond the reduction of glycaemia (HbA1c), such as the glucagon-like peptide 1 receptor agonist (GLP-1 RA), has significantly widened the therapeutic options available for management of T2D. Consequently, there is currently a substantial number of PwT2D for whom the MDI regimen was initiated at a time when no other options were available. Yet, in present times, these individuals could benefit from simplified insulin regimens ideally taking advantage of the beneficial effects of the novel classes of antidiabetic medications. iGlarLixi (Suliqua®) is a once-daily fixed-ratio combination of basal insulin analogue glargine 100 U/ml and a GLP-1 RA lixisenatide.
METHODS: Insulin therapy DE-intensificAtion with iglarLixi (IDEAL) is a six-centre, open-label, parallel-group, active comparator, phase IV randomised controlled trial with a 24-week active treatment period examining the efficacy and safety of MDI regimen de-intensification with once-daily administration of iGlarLixi versus MDI regimen continuation in PwT2D on a backgroud therapy with metformin ± sodium-glucose cotransporter 2 inhibitor.
UNASSIGNED: The primary objective is to compare the effects of MDI therapy de-intensification with iGlarLixi versus MDI regimen continuation regarding glycaemic control (HbA1c). Secondary objectives include detailed evaluation of the effects of MDI regimen de-intensification with iGlarLixi on glycaemic control using standardised continuous glucose monitoring (CGM) metrics and self-monitoring of plasma glucose. Furthermore, body weight and body composition analysis, quality of life and safety profile are evaluated.
BACKGROUND: ClinicalTrials.gov, identifier NCT04945070.

OBJECTIVE: The duodenum has been shown to play a key role in glucose homeostasis. Duodenal mucosal resurfacing (DMR) is an endoscopic procedure for patients with type 2 diabetes (T2D) in which the duodenal mucosa is hydrothermally ablated. DMR improves glycemic control, but the underlying mechanisms remain unclear. Here, we report changes in glucoregulatory hormones and indices of insulin sensitivity and beta cell function after DMR.
METHODS: We included 28 patients on noninsulin glucose-lowering medications who underwent open-label DMR and a mixed meal test (MMT) in Revita-1 or Revita-2 studies. Inclusion criteria were a hemoglobin A1c from 7.6% to 10.4% and a body mass index of 24 to 40 kg/m2. Baseline and 3-month MMT data included plasma glucose, insulin, C-peptide, glucagon-like peptide-1 (GLP-1), and gastric inhibitory polypeptide (GIP) concentrations. Glucoregulatory hormones, insulin sensitivity indices (Homeostatic Model Assessment for Insulin Resistance [HOMA-IR], Matsuda index [MI], and hepatic insulin resistance) and beta cell function (insulinogenic index, disposition index [DI], and insulin secretion rate [ISR]) were assessed.
RESULTS: Fasting insulin, glucagon, and C-peptide decreased significantly. Insulin sensitivity (HOMA-IR, MI, and hepatic insulin resistance) and beta cell function (DI and ISR) all improved significantly. Declines in postprandial glucose, mainly driven by a decrease in fasting levels, and in postprandial glucagon were observed, whereas GLP-1 and GIP did not change.
CONCLUSIONS: Insulin sensitivity and insulin secretion improved 3 months after DMR. It is unlikely that incretin changes are responsible for improved glucose control after DMR. These data add to the growing evidence validating the duodenum as a therapeutic target for patients with T2D. (Clinical trial registration numbers: NCT02413567 and NCT03653091.).

BACKGROUND: This study aimed to validate the application of CT texture analysis in estimating Bone Mineral Density (BMD) in patients with Type 2 Diabetes (T2D) and comparing it with the results of dual-energy X-ray absorptiometry (DXA) in a normative cohort.
METHODS: We analyzed a total of 510 cases (145 T2D patients and 365 normal patients) from a single institution. DXA-derived BMD and CT texture analysis-estimated BMD were compared for each participant. Additionally, we investigated the correlation among 45 different texture features within each group.
RESULTS: The correlation between CT texture analysis-estimated BMD and DXA-derived BMD in T2D patients was consistently high (0.94 or above), whether measured at L1 BMD, L1 BMC, total hip BMD, or total hip BMC. In contrast, the normative cohort showed a modest correlation, ranging from 0.66 to 0.75. Among the 45 texture features, significant differences were found in the Contrast V 64 and Contrast V 128 features in the normal group.
CONCLUSIONS: In essence, our study emphasizes that the clinical assessment of bone health, particularly in T2D patients, should not merely rely on traditional measures, such as DXA BMD. Rather, it may be beneficial to incorporate other diagnostic tools, such as CT texture analysis, to better comprehend the complex interplay between various factors impacting bone health.

The neutrophil-to-lymphocyte ratio (NLR) and immunoglobulin A (IgA) level are commonly used as biomarkers for inflammation. Patients with type 2 diabetes (T2D) may experience an imbalance of tear film and inflammation, which can result in dry eye disease (DED). This study aimed to assess the levels of IgA and explore its correlation with the NLR as potential inflammatory biomarkers for dry eye disease in patients with T2D.
A retrospective study was conducted at the cornea clinic and diabetes centre of King Abdulaziz Medical City (Jeddah, Saudi Arabia). The study included patients with DED and the number of available T2D-DED patients determined the sample size. Neutrophil, lymphocyte, IgA and CRP (C-reactive protein) laboratory values were obtained from medical records and correlational analyses were performed.
The study included 85 patients with an average age of 54 ± 14.4 years for the DED group (n=32) and 62 ± 13.9 years for the T2D-DED group (n=53). The age difference between the two groups was statistically significant (p 0.0001). The NLR values of the T2D-DED and DED groups were 3.203 ± 0.66 and 2.406 ± 0.46, respectively, with no significant difference (p<0.285). Similarly, there were no significant differences in neutrophil and lymphocyte values between the two groups. The IgA levels showed no significant variation between T2D-DED and DED groups (p<0.364). Spearman\'s correlation analysis in the DED group showed a significant negative correlation between IgA and lymphocyte (p=0.011; r= - 0.471) values and significant positive correlations between IgA and neutrophil (p=0.014; r=0.309) and NLR (p=0.052; r= - 0.283) values. In the T2D-DED group, a significant correlation was found between IgA and CRP values (p=0.032; r=0.33).
Although diabetic patients may exhibit higher levels of NLR and IgA that correlate with disease severity, our study did not find significant differences in NLR and IgA values between the two groups. These findings may guide future research and enhance understanding of the disease\'s underlying mechanisms.

Though type 2 diabetes (T2D) has been known as a metabolic disease caused by multiple factors, the etiology remains insufficiently understood. Here, we aimed to figure out whether circulating immune cell profiles causally impact T2D liability.
We applied one genome-wide association study (GWAS) summary statistics of blood traits in 563,085 participants from the Blood Cell Consortium and another GWAS of flow cytometric profile of lymphocyte subsets comprising 3,757 Sardinians to identify genetically predicted blood immune cells. We also obtained GWAS summary statistics in 898,130 individuals from the DIAGRAM Consortium to evaluate genetically predicted T2D. We primarily used inverse variance weighted (IVW) and weighted median methods to perform Mendelian randomization analyses and sensitivity analyses to evaluate heterogeneity and pleiotropy.
For circulating blood leukocyte and its subpopulations, the increase of genetically predicted circulating monocyte count was causally correlated with a higher risk of T2D [odds ratio (OR) = 1.06, 95% confidence interval (CI) = 1.02-1.10, p = 0.0048]. For lymphocyte subsets, CD8+ T cell and CD4+ CD8dim T cell count were identified with causal effect on T2D susceptibility (CD8+ T cell: OR = 1.09, 95% CI = 1.03-1.17, p = 0.0053; CD4+ CD8dim T cell: OR = 1.04, 95% CI = 1.01-1.08, p = 0.0070). No pleiotropy was determined.
These findings demonstrated that higher circulating monocyte and T-lymphocyte subpopulation predicted increased T2D susceptibility, which confirmed the immunity predisposition for T2D. Our results may have the potential to provide new therapeutic targets for the diagnosis and treatment of T2D.

UNASSIGNED: Previous research has reported that variability in glucose levels is associated with a variety of patient characteristics in colon cancer. However, relevant research is still lacking in relation to hepatocellular carcinoma (HCC).
UNASSIGNED: A total of 95 HCC patients with Barcelona Clinic Liver Cancer (BCLC) stage B-C who underwent liver resection at the Eastern Hepatobiliary Surgery Hospital and Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine were included in this study. The patients were divided into 2 groups with type 2 diabetes (T2D) and without T2D. The primary outcome variable was blood glucose variability at 1 month and within 1 year of HCC surgery.
UNASSIGNED: In this study, the age of patients with T2D was greater than that of patients without T2D (mean age: 70.3±8.45 vs. 60.4±11.27 years, P=0.031). Compared to the patients without T2D, those with T2D had higher blood glucose measurements within 1 month (33 vs. 7) and 1 year (46.5 vs. 22.5, P<0.001) of surgery. The T2D patients and non-T2D patients did not differ in terms of chemotherapy medication or other characteristics. Among the 95 patients with BCLC stage B-C HCC, those with T2D had higher variability in glucose levels (P<0.001) than those without T2D within 1 month of surgery [standard deviation (SD) =46.43 mg/dL, coefficient of variation (CV) =23.5% vs. SD =21.56 mg/dL, CV =13.21%], and within 1 year of surgery (SD =42.49 mg/dL, CV =26.14% vs. SD =20.45 mg/dL, CV =17.36%). A correlation was found between a lower body mass index and higher variability in glucose levels within 1 month of surgery among patients with T2D [SD (r=-0.431, P<0.05) and CV (r=-0.464, P<0.01)]. A higher preoperative blood glucose level in T2D patients was correlated with a higher blood glucose variability within 1 year of surgery (r=0.435, P<0.01). Variability in glucose levels was weakly correlated with the demographic and clinical characteristics of patients who do not have T2D.
UNASSIGNED: HCC patients with T2D in BCLC stage B-C showed greater variability in glucose levels within 1 month and 1 year of surgery. Preoperative hyperglycemia, insulin use, and a lower cumulative dose of steroids were clinical features correlated with a higher variability in glucose levels in T2D patients.

The lack of longitudinal metabolomics data and the statistical techniques to analyse them has limited the understanding of the metabolite levels related to type 2 diabetes (T2D) onset. Thus, we carried out logistic regression analysis and simultaneously proposed new approaches based on residuals of multiple logistic regression and geometric angle-based clustering for the analysis in T2D onset-specific metabolic changes.
We used the sixth, seventh and eighth follow-up data from 2013, 2015 and 2017 among the Korea Association REsource (KARE) cohort data. Semi-targeted metabolite analysis was performed using ultraperformance liquid chromatography/triple quadrupole-mass spectrometry systems.
As the results from the multiple logistic regression and a single metabolite in a logistic regression analysis varied dramatically, we recommend using models that consider potential multicollinearity among metabolites. The residual-based approach particularly identified neurotransmitters or related precursors as T2D onset-specific metabolites. By using geometric angle-based pattern clustering studies, ketone bodies and carnitines are observed as disease-onset specific metabolites and separated from others.
To treat patients with early-stage insulin resistance and dyslipidaemia when metabolic disorders are still reversible, our findings may contribute to a greater understanding of how metabolomics could be used in disease intervention strategies during the early stages of T2D.

Many individuals living with chronic kidney disease (CKD) have comorbid Type 2 diabetes (T2D). We sought to explore if efficacious interventions that improve glycemic control may also have potential to reduce CKD progression.
REACH is a text message-delivered self-management support intervention, which focused on medication adherence, diet, and exercise that significantly improved glycemic control in N = 506 patients with T2D. Using data from the trial, we characterized kidney health in the full sample and explored the intervention\'s effect on change in estimated glomerular filtration rate (eGFR) at 12 months in a subsample of N=271 patients with eGFR data.
In a diverse sample with respect to race/ethnicity and socioeconomic status, 37.2% had presence of mild or heavy proteinuria and/or an eGFR < 60 mL/min/1.73 m2. There was a trending interaction effect between intervention and presence of proteinuria at baseline (b = 6.016, p = .099) such that patients with proteinuria at baseline who received REACH had less worsening of eGFR.
Future research should examine whether diabetes directed self-management support reduces CKD progression in ethnically diverse individuals with albuminuria. In highly comorbid populations, such as T2D and CKD, text-based support can be further tailored according to individuals\' multimorbid disease self-management needs and is readily scalable for individuals with limited resources.
This study was registered with ClinicalTrials.gov ( NCT02409329 ).

UNASSIGNED: Type 2 diabetes (T2D) is a prevalent chronic disease associated with several comorbidities.
UNASSIGNED: This study investigated whether the risk of T2D varied with genetically predicted insulin (INS), insulin receptor (INS-R), or insulin-like growth factor 1 receptor (IGF-1R) using genetic variants in a Mendelian randomization (MR) study.
UNASSIGNED: A 2-sample MR study was conducted using summary statistics from 2 genome-wide association studies (GWASs). Genetic predictors of the exposures (INS, INS-R, and IGF-1R) were obtained from a publicly available proteomics GWAS of the INTERVAL randomized controlled trial of blood donation in the United Kingdom. For T2D, the study leveraged the DIAbetes Meta-ANalysis of Trans-Ethnic association studies (DIAMANTE) consortium. The estimated associations of INS, INS-R, and IGF-1R proteins with T2D were based on independent single nucleotide polymorphisms (SNPs) strongly (P < 5 × 10-6) predicting each exposure. These SNPs were applied to publicly available genetic associations with T2D from the DIAMANTE case (n = 74,124) and control (n = 824,006) study of people of European descent. SNP-specific Wald estimates were meta-analyzed using inverse variance weighting with multiplicative random effects. Sensitivity analysis was conducted using the weighted median (WM) and MR-Egger.
UNASSIGNED: INS-R (based on 13 SNPs) was associated with a lower risk of T2D (OR: 0.95 per effect size; 95% CI: 0.92, 0.98; P = 0.001), with similar estimates from the WM and MR-Egger. Insulin (8 SNPs) and IGF-1R (10 SNPs) were not associated with T2D. However, 1 of the SNPs for INS-R was from the ABO blood group gene.
UNASSIGNED: This study is consistent with a causally protective association of the INS-R with T2D. INS-R in RBCs regulates glycolysis and thus may affect their functionality and integrity. However, a pleiotropic effect via the blood group ABO gene cannot be excluded. The INS-R may be a target for intervention by repurposing existing therapeutics or otherwise to reduce the risk of T2D.