Pancreas Fat Research Articles

Investigating the impact of metabolic syndrome and its components on pancreas fat: a Bidirectional Mendelian randomization study

Objective: Metabolic syndrome (MetS) and fatty pancreas are two prevalent health conditions that are strongly associated with an elevated risk of developing type 2 diabetes, cardiovascular disease, and pancreatic cancer. Understanding the causal relationship between these conditions is important for developing effective prevention and treatment strategies. In this study, we performed a bidirectional Mendelian randomization analysis to investigate the potential causal relationship between MetS and fatty pancreas. Methods: This study undertook bidirectional Mendelian randomization. Genetic instruments for obesity, glycemic, lipid, and blood pressure were identified as instrumental variables for MetS traits in order to evaluate their causal role in pancreatic fat etiology. Summary level data for pancreas fat (PF) were obtained from a genome-wide association study conducted in the UK Biobank. Results: There was no causal relationship between MetS as a binary trait and PF. In addition, a causal association of increasing Waist-to-Hip Ratio (WHR) with pancreatic fat risk was found [odds ratio (OR)=1.173, 95% confidence interval (CI): 1.067-1.288, p=9*10-4]. Notably, there is no evidence of a causal relationship between PF and glycemic, lipid, and blood pressure. Sensitivity analyses did not indicate that pleiotropy was an important source of bias. Conclusion: MetS had no causal relationship with pancreatic fat. Of the components of the metabolic syndrome, only abdominal obesity and pancreatic fat were observed to be causally related.

Effect of smoking behaviour and related blood DNA methylation on visceral adipose tissues.

Recent studies have found that tobacco smoking is associated with fat distribution, yet limited research has focused on its relationship with visceral adipose tissues (VATs). Furthermore, the cellular and molecular mechanisms underlying the interactions among smoking, epigenetic modifications, and VATs remain unknown. We performed univariable Mendelian randomization (MR) analysis to elucidate the causal relationship between smoking behaviours and VATs, including epicardial and pericardial adipose tissue (EPAT), liver fat (LF), and pancreas fat (PF). This approach could minimize the impact of confounders and reverse causality through utilizing genetic variants to proxy the smoking behaviours. Mediation MR analysis were conducted to detect potential mediators. Additionally, summary-data-based MR (SMR) and colocalization analysis were performed to explore the association between smoking-related DNA methylation and VATs. We identified a convincing association between smoking initiation and increased EPAT (beta: 0.15, 95% CI: 0.06, 0.23, p = 7.01 × 10-4) and LF area (beta: 0.15, 95% CI = 0.05, 0.24, p = 2.85 × 10-3), respectively. Further mediation analysis suggested type 2 diabetes mellitus (T2DM) as a potential mediator within these co-relationships. When further exploring the associations between the smoking related DNA methylation and VATs, we identified that WT1 methylation at cg05222924 was significantly linked to a lower EPAT area (beta: -0.12, 95% CI: -0.16, -0.06, PFDR = 2.24 × 10-3), while GPX1 methylation at cg18642234 facilitated the deposition of EPAT (beta: 0.15, 95% CI: 0.10, 0.20, PFDR = 1.66 × 10-4). Our study uncovered a significant causal effect between smoking and VATs, with T2DM identified as a potential mediator. Further investigation into DNA methylation yielded novel insights into the pathogenic role of smoking on EPAT.

Association of Pancreas Fat Fraction with Adverse Kidney and Cardiovascular Outcomes

Association of Pancreas Fat Fraction with Adverse Kidney and Cardiovascular Outcomes

Interrelationships Among Accumulations of Intra- and Periorgan Fats, Visceral Fat, and Subcutaneous Fat.

We aimed to clarify the relationship between intra- and peri-organ fat, visceral fat, and subcutaneous fat. We used abdominal CT to evaluate intra- and peri-organ fat accumulations in the pancreas, liver, spleen, renal parenchyma, renal sinus, and skeletal muscle. The relationships between these fats, visceral fat, and subcutaneous fat were examined by using the partial correlation and covariance analysis, adjusting for BMI. We found that visceral fat and each intraand peri-organ fat accumulation were positively correlated, whereas subcutaneous fat and the accumulation of each intra- and peri-organ fat and visceral fat were negatively correlated. Pancreas fat, liver fat, renal sinus fat, and skeletal muscle fat accumulated significantly more in people with excessive visceral fat accumulation than in those without excessive visceral fat accumulation (p = 0.01, 0.006, 0.008, 0.02, respectively). In conclusion, intra- and peri-organ fat accumulation in each organ shows a positive correlation with visceral fat and a negative correlation with subcutaneous fat, independent of BMI.

Mechanisms of weight loss-induced remission in people with prediabetes: a post-hoc analysis of the randomised, controlled, multicentre Prediabetes Lifestyle Intervention Study (PLIS)

Remission of type 2 diabetes can occur as a result of weight loss and is characterised by liver fat and pancreas fat reduction and recovered insulin secretion. In this analysis, we aimed to investigate the mechanisms of weight loss- induced remission in people with prediabetes. In this prespecified post-hoc analysis, weight loss-induced resolution of prediabetes in the randomised, controlled, multicentre Prediabetes Lifestyle Intervention Study (PLIS) was assessed, and the results were validated against participants from the Diabetes Prevention Program (DPP) study. For PLIS, between March 1, 2012, and Aug 31, 2016, participants were recruited from eight clinical study centres (including seven university hospitals) in Germany and randomly assigned to receive either a control intervention, a standard lifestyle intervention (ie, DPP-based intervention), or an intensified lifestyle intervention for 12 months. For DPP, participants were recruited from 23 clinical study centres in the USA between July 31, 1996, and May 18, 1999, and randomly assigned to receive either a standard lifestyle intervention, metformin, or placebo. In both PLIS and DPP, only participants who were randomly assigned to receive lifestyle intervention or placebo and who lost at least 5% of their bodyweight were included in this analysis. Responders were defined as people who returned to normal fasting plasma glucose (FPG; <5·6 mmol/L), normal glucose tolerance (<7·8 mmol/L), and HbA1c less than 39 mmol/mol after 12 months of lifestyle intervention or placebo or control intervention. Non-responders were defined as people who had FPG, 2 h glucose, or HbA1c more than these thresholds. The main outcomes for this analysis were insulin sensitivity, insulin secretion, visceral adipose tissue (VAT), and intrahepatic lipid content (IHL) and were evaluated via linear mixed models. Of 1160 participants recruited to PLIS, 298 (25·7%) had weight loss of 5% or more of their bodyweight at baseline. 128 (43%) of 298 participants were responders and 170 (57%) were non-responders. Responders were younger than non-responders (mean age 55·6 years [SD 9·9] vs 60·4 years [8·6]; p<0·0001). The DPP validation cohort included 683 participants who lost at least 5% of their bodyweight at baseline. Of these, 132 (19%) were responders and 551 (81%) were non-responders. In PLIS, BMI reduction was similar between responders and non-responders (responders mean at baseline 32·4 kg/m2 [SD 5·6] to mean at 12 months 29·0 kg/m2 [4·9] vs non-responders 32·1 kg/m2 [5·9] to 29·2 kg/m2 [5·4]; p=0·86). However, whole-body insulin sensitivity increased more in responders than in non-responders (mean at baseline 291 mL/[min × m2], SD 60 to mean at 12 months 378 mL/[min × m2], 56 vs 278 mL/[min × m2], 62, to 323 mL/[min × m2], 66; p<0·0001), whereas insulin secretion did not differ within groups over time or between groups (responders mean at baseline 175 pmol/mmol [SD 64] to mean at 12 months 163·7 pmol/mmol [60·6] vs non-responders 158·0 pmol/mmol [55·6] to 154·1 pmol/mmol [56·2]; p=0·46). IHL decreased in both groups, without a difference between groups (responders mean at baseline 10·1% [SD 8·7] to mean at 12 months 3·5% [3·9] vs non-responders 10·3% [8·1] to 4·2% [4·2]; p=0·34); however, VAT decreased more in responders than in non-responders (mean at baseline 6·2 L [SD 2·9] to mean at 12 months 4·1 L [2·3] vs 5·7 L [2·3] to 4·5 L [2·2]; p=0·0003). Responders had a 73% lower risk of developing type 2 diabetes than non-responders in the 2 years after the intervention ended. By contrast to remission of type 2 diabetes, resolution of prediabetes was characterised by an improvement in insulin sensitivity and reduced VAT. Because return to normal glucose regulation (NGR) prevents development of type 2 diabetes, we propose the concept of remission of prediabetes in analogy to type 2 diabetes. We suggest that remission of prediabetes should be the primary therapeutic aim in individuals with prediabetes. German Federal Ministry for Education and Research via the German Center for Diabetes Research; the Ministry of Science, Research and the Arts Baden-Württemberg; the Helmholtz Association and Helmholtz Munich; the Cluster of Excellence Controlling Microbes to Fight Infections; and the German Research Foundation.

Bioinformatics-based analysis of core genes and pathway enrichment in early diabetic nephropathy.

Diabetic nephropathy (DN) is the main cause of end-stage renal disease (ESRD). Bioinformatics technology was adopted to screen and analyze the core genes of early DN to explore its pathogenesis. GSE30528, GSE96804, and GSE30122 chip data were obtained from Gene Expression Omnibus (GEO) database to screen DN and healthy controls for differentially expressed genes. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) for functional annotation and signaling pathway enrichment; String and Cytoscape were used for protein-protein interaction (PPI) network construction and core gene screening, NCBI-Genes to search the expression profile of core genes. 17 common genes were screened, with 6 genes up-regulated and 11 genes down-regulated. The major functional annotations of differential genes were the generation of precursor metabolites and energy, Immune response, and Phosphorylation. They were concentrated on Focal adhesion, PI3K/Akt signaling pathway, and Human papillomavirus infection pathway. The expressions of VEGFA and THBS1 were down-regulated, while the expressions of ITGB1, MMP7, and SOX9 were up-regulated. The core genes VEGFA and THBS1 were highly expressed in Thyroid and Appendix, but lowly expressed in Testis. MMP7 was highly expressed in the Gall bladder and low in the Adrenal. SOX9 was highly expressed in Thyroid and lowly expressed in the bone marrow. ITGB1 was highly expressed in Fat and low in Pancreas. Bioinformatics technology can mine chip data and present new targets for diagnosing and treating DN, but further verification is needed.

1472-P: Polygenic Risk Score for Liver Fat Predicts Earlier Onset of Type 2 Diabetes in an East Asian Population

Liver, pancreas fat deposition and volume have been associated with type 2 diabetes (T2D) risk by Mendelian randomization study. However, it is unknown whether genetic variation in these traits impact on T2D onset, insulin resistance and drug use. We hypothesized that (1) genetic predisposition to smaller pancreas would be associated with earlier onset of T2D and earlier need for insulin; (2) genetic predisposition to higher pancreas and liver fat would be associated with greater insulin resistance, earlier onset of T2D and earlier need for insulin. This study utilized three Chinese cohorts of genotyped T2D patients in Hong Kong: Hong Kong Diabetes Register (HKDR, n=6011), Hong Kong Diabetes Biobank Phase 1 (HKDB-P1, n=6662) and Hong Kong Diabetes Biobank Phase 2 (HKDB-P2, n= 5899). We used lead SNPs (single nucleotide polymorphisms) associated with pancreas volume (13 SNPs), fat (7 SNPs) and liver fat (8 SNPs) from UK Biobank (n&amp;gt;32,000) to construct PRS (Polygenic risk score) in these cohorts. Linear regression models were employed to examine the associations between PRS and age of T2D onset and insulin resistance. Multivariable cox regression models were employed to examine association with time to insulin use. All models included age (except for age of T2D onset), sex and top 4 genetic principal components as covariates. To assess the confounding effects of BMI, we also performed BMI subgroup analysis by stratifying individuals into underweight, normal and overweight groups. Our analyses found that higher PRS for liver fat, but not pancreatic size or fat predicts earlier onset of T2D in HKDB-P1 (p&amp;lt;0.001, t=−3.43). The direction of association in HKDB-P2 was consistent though not significant. When stratified by BMI, higher PRS for liver fat predicts earlier onset of T2D in HKDB-P1 (p= 0.002, t=−3.14) and HKDB-P2 (p=0.029, t=−2.19) among the overweight group. Our results highlighted a PRS of liver fat as a potential biomarker for age of T2D onset, which needs further validation. Disclosure G.Yu: None. C.Huang: None. A.Luk: Research Support; Novo Nordisk, Boehringer-Ingelheim, Bayer Inc., Speaker's Bureau; Eli Lilly and Company. E.S.H.Lau: None. Hong kong diabetes biobank study group: n/a. R.C.Ma: Advisory Panel; AstraZeneca, Merck &amp; Co., Inc., Other Relationship; Bayer Inc., Boehringer-Ingelheim, Research Support; Tricida, Inc., Roche Diagnostics, Novo Nordisk. C.H.Tam: None. M.Shi: None. B.Fan: None. C.K.Lim: Stock/Shareholder; GemVCare Ltd. J.C.Chan: Board Member; Asia Diabetes Foundation, Consultant; Bayer Inc., Celltrion, Boehringer Ingelheim and Eli Lilly Alliance, Sanofi, Research Support; AstraZeneca, Servier Laboratories, Viatris Inc., Hua Medicine, Merck KGaA, Applied Therapeutics Inc., Lee Powder, Pfizer Inc., Speaker's Bureau; Novartis, Stock/Shareholder; GemVCare Ltd. M.N.Weedon: None. R.A.Oram: Consultant; Janssen Research &amp; Development, LLC, Research Support; Randox R &amp; D. Funding Research Grants Council of the Hong Kong Special Administrative Region (CU-R4012-18); Croucher Foundation

Abdominal magnetic resonance imaging assessment and quantification of pancreatic and liver adipose tissues in obesity before and after laparoscopic sleeve gastrectomy

ObjectivesTo investigate the changes of liver and pancreas fat fraction after laparoscopic sleeve gastrectomy (LSG) by magnetic resonance imaging (MRI). MethodsOur study included morbid obesity with normal blood glucose and underwent abdominal MRI before and after LSG. In total, 21 patients were included, 10 underwent abdominal MRI before and 3 months after LSG, 11 underwent abdominal MRI before and 1–2 years after LSG. Liver fat fraction (LFF), pancreas fat fraction(PFF) were measured on proton density fat fraction (PDFF) maps at different time points. Fasting blood samples were collected for measurement of triglyceride (TG), total cholesterol (TC), low-density lipoprotein (LDL), high-density lipoprotein (HDL), plasma glucose and insulin levels. Homeostasis model assessment (HOMA) was used to evaluate insulin resistance (HOMA-IR). Pearson correlation was used to analyze the correlation between different parameters. ResultsLFF and PFF were significantly decreased at 3 months and 1–2 years after LSG along with weight loss, decreased body mass index (BMI) and waist circumference. Though these parameters showed a decreasing trend from 3 months to 1–2 years, but there was no statistical difference. 81.0% patients had fatty liver and 38.1% patients had fatty pancreas at baseline. However, all patients had no fatty liver at 3 months and no fatty pancreas at 1–2 years after LSG. HDL levels were increased, but LDL, TG and insulin levels were decreased 1–2 years after LSG but not at 3 months. LFF was related to fasting insulin and HOMA-IR at baseline but not after LSG. There was no association of PFF with fasting plasma glucose, fasting insulin or HOMA-IR, but ΔPFF was related to Δinsulin and ΔHOMA-IR at 1–2 years after LSG. ConclusionChanges of liver and pancreas fat content in obesity before and after LSG can be quantified by IDEAL-IQ. Treatment with LSG can reverses fatty liver and fatty pancreas in obese patients. In addition, the lipid profile and insulin sensitivity are also improved after LSG along with the decreased of LFF and PFF.

Magnetic resonance study of visceral, subcutaneous, liver and pancreas fat changes after 12 weeks intermittent fasting in obese participants with prediabetes

BackgroundIt is not clear whether there are differences in proportions of fat loss from visceral:subcutaneous depots by probiotic supplementation, ethnicity or sex during weight loss; or whether visceral/pancreatic fat depot changes are related to changes in HbA1c. Our objective is to investigate whether weight loss from different fat depots is related to these factors during weight loss achieved by intermittent fasting. MethodPrediabetes participants on 5:2 intermittent fasting were randomized 1:1 to either daily probiotic or placebo for 12 weeks. Twenty-four patients had magnetic resonance imaging data at baseline and 12 weeks. ResultsAfter 12 weeks of intermittent fasting, subcutaneous fat (%) changed from 35.9 ± 3.1 to 34.4 ± 3.2, visceral fat (%) from 15.8 ± 1.3 to 14.8 ± 1.2, liver fat (%) from 8.7 ± 0.8 to 7.5 ± 0.7 and pancreatic fat (%) from 7.7 ± 0.5 to 6.5 ± 0.5 (all p < 0.001). Changes in weight, HbA1c, SAT, VAT, LF and PF did not differ significantly between probiotic and placebo groups. ConclusionOverall weight loss was correlated with fat loss from subcutaneous depots. Losses from different fat depots did not correlate with changes in HbA1c or differ by probiotic supplementation, ethnicity or sex.

Effect of guanylin peptides on pancreas steatosis and function in experimental diet-induced obesity and after bariatric surgery.

Obesity contributes to ectopic fat deposition in non-adipose organs, including the pancreas. Pancreas steatosis associates with inflammation and β-cell dysfunction, contributing to the onset of insulin resistance and type 2 diabetes. An improvement of pancreatic steatosis and indices of insulin resistance is observed following bariatric surgery, but the underlying mechanisms remain unknown. We sought to analyze whether guanylin (GUCA2A) and uroguanylin (GUCA2B), two gut hormones involved in the regulation of satiety, food preference and adiposity, are involved in the amelioration of pancreas fat accumulation after bariatric surgery. Pancreas steatosis, inflammation, islet number and area were measured in male Wistar rats with diet-induced obesity (n=125) subjected to surgical (sham operation and sleeve gastrectomy) or dietary (pair-fed to the amount of food eaten by gastrectomized animals) interventions. The tissue distribution of guanylate cyclase C (GUCY2C) and the expression of the guanylin system were evaluated in rat pancreata by real-time PCR, Western-blot and immunohistochemistry. The effect of guanylin and uroguanylin on factors involved in insulin secretion and lipogenesis was determined in vitro in RIN-m5F β-cells exposed to lipotoxic conditions. Sleeve gastrectomy reduced pancreas steatosis and inflammation and improved insulin sensitivity and synthesis. An upregulation of GUCA2A and GUCY2C, but not GUCA2B, was observed in pancreata from rats with diet-induced obesity one month after sleeve gastrectomy. Interestingly, both guanylin and uroguanylin diminished the lipotoxicity in palmitate-treated RIN-m5F β-cells, evidenced by lower steatosis and downregulated lipogenic factors Srebf1, Mogat2 and Dgat1. Both guanylin peptides reduced insulin synthesis (Ins1 and Ins2) and release from RIN-m5F β-cells, but only guanylin upregulated Wnt4, a factor that controls β-cell proliferation and function. Together, sleeve gastrectomy reduced pancreatic steatosis and improved β-cell function. Several mechanisms, including the modulation of inflammation and lipogenesis as well as the upregulation of GUCA2A in the pancreas, might explain this beneficial effect of bariatric surgery.

Association of pancreatic fat on imaging with pediatric metabolic co-morbidities.

The relationship between pancreatic fat on imaging and metabolic co-morbidities has not been established in pediatrics. We sought to investigate the relationship between pancreatic fat measured by MRI and endocrine/exocrine dysfunctions along with the metabolic co-morbidities in a cohort of children. To investigate relationships between pancreatic fat quantified by MRI and endocrine and exocrine conditions and metabolic co-morbidities in a cohort of children. MATERIALS ANDMETHODS: This was a retrospective review of pediatric patients (n = 187) who had a clinically indicated MRI examination between May 2018 and February 2020. After 51 patients without useable imaging data were excluded, the remaining 136 subjects comprised the study sample. Laboratory studies were assessed if collected within 6months of MRI and patient charts were reviewed for demographic and clinical information. MRI proton density fat fraction (PDFF) sequence had been acquired according to manufacturer's specified parameters at a slice thickness of 3mm. Two blinded radiologists independently collected PDFF data. The median age at MRI was 12.1 (IQR: 9.0-14.8) years and the majority of patients were Caucasian (79%), followed by African American and Hispanic at 12% and 11% respectively. There was a higher median pancreas fat fraction in patients with exocrine conditions (chronic pancreatitis or exocrine insufficiency) compared to those without (3.5% vs 2.2%, p = 0.03). There was also a higher median fat fraction in the head of pancreas in patients with endocrine insufficient conditions (insulin resistance, pre-diabetes, type 1 and type 2 diabetes) compared to those without endocrine insufficiency when excluding patients with active acute pancreatitis (3.5% vs 2.0%, p = 0.04). Patients with BMI > 85% had higher mean fat fraction compared to patients with BMI ≤ 85% (head: 3.8 vs 2.4%, p = 0.01; body: 3.8 vs 2.5%, p = 0.005; tail: 3.7 vs 2.7%, p = 0.049; overall pancreas fat fraction: 3.8 vs 2.6%, p = 0.002). Pancreas fat is elevated in patients with BMI > 85% and in those with exocrine and endocrine insufficiencies.

Artificial intelligence assisted whole organ pancreatic fat estimation on magnetic resonance imaging and correlation with pancreas attenuation on computed tomography

BackgroundFatty pancreas is associated with inflammatory and neoplastic pancreatic diseases. Magnetic resonance imaging (MRI) is the diagnostic modality of choice for measuring pancreatic fat. Measurements typically use regions of interest limited by sampling and variability. We have previously described an artificial intelligence (AI)-aided approach for whole pancreas fat estimation on computed tomography (CT). In this study, we aimed to assess the correlation between whole pancreas MRI proton-density fat fraction (MR-PDFF) and CT attenuation. MethodsWe identified patients without pancreatic disease who underwent both MRI and CT between January 1, 2015 and June 1, 2020. 158 paired MRI and CT scans were available for pancreas segmentation using an iteratively trained convolutional neural network (CNN) with manual correction. Boxplots were generated to visualize slice-by-slice variability in 2D-axial slice MR-PDFF. Correlation between whole pancreas MR-PDFF and age, BMI, hepatic fat and pancreas CT-Hounsfield Unit (CT-HU) was assessed. ResultsMean pancreatic MR-PDFF showed a strong inverse correlation (Spearman −0.755) with mean CT-HU. MR-PDFF was higher in males (25.22 vs 20.87; p = 0.0015) and in subjects with diabetes mellitus (25.95 vs 22.17; p = 0.0324), and was positively correlated with age and BMI. The pancreatic 2D-axial slice-to-slice MR-PDFF variability increased with increasing mean whole pancreas MR-PDFF (Spearman 0.51; p < 0.0001). ConclusionOur study demonstrates a strong inverse correlation between whole pancreas MR-PDFF and CT-HU, indicating that both imaging modalities can be used to assess pancreatic fat. 2D-axial pancreas MR-PDFF is variable across slices, underscoring the need for AI-aided whole-organ measurements for objective and reproducible estimation of pancreatic fat.

Perirenal fat thickness and liver fat fraction are independent predictors of MetS in adults with overweight and obesity suspected with NAFLD: a retrospective study

BackgroundNonalcoholic fatty liver disease (NAFLD) has a multidirectional relationship with metabolic syndrome (MetS) and used to be considered a hepatic manifestation of MetS. Perirenal fat, as a part of visceral adipose tissue (VAT), was reported to be correlated with MetS components, but data for intraorgan fat are lacking. This study was undertaken to assess the value of peripheral and intraorgan fat to predict MetS in adults with overweight and obesity with suspected NAFLD.MethodsWe studied 134 sequential adults (mean age, 31.5 years; 47% female) with overweight and obesity with suspected NAFLD. All participants underwent abdominal magnetic resonance imaging (MRI) examination. Anthropometric and metabolic parameters and perirenal fat thickness (PRFT), subcutaneous adipose tissue thickness (SATT), liver fat fraction (LFF), pancreas fat fraction (PFF), and lumbar spine fat fraction (LSFF) were collected. MetS was defined according to the International Diabetes Federation (IDF) criteria. Statistical analyses included basic statistics, linear correlation and logistic regression analysis.ResultsA total of 63 adults with MetS and 71 adults with advanced liver steatosis (grades 2 and 3) were included in our study. Patients with MetS had greater PRFT (p = 0.026) and LFF (p < 0.001), as well as greater homeostasis model assessment of insulin resistance (HOMA-IR), alanine transaminase (ALT), aspartate transaminase (AST), and decreased SATT. MetS patients had a higher proportion of advanced steatosis than those without MetS (P < 0.001). The MetS score was associated with PRFT and LFF. Logistic regression analysis showed that the PRFT and LFF were independent predictors of MetS after adjusting for age and sex. A cutoff of 9.15 mm for PRFT and 14.68% for LFF could be predictive of MetS.ConclusionsThis study shows that the absolute cutoff level of 9.15 mm for PRFT and 14.68% for LFF may be clinically important markers for identifying patients who are at high risk of MetS among adults with overweight and obesity with suspected NAFLD, irrespective of sex and age. Moreover, ectopic fat levels in pancreas and lumbar spine are positively associated with PRFT.Trial registrationNot applicable.

Interleukin-33 inhibits glucose uptake in human adipocytes and its expression in adipose tissue is elevated in insulin resistance and type 2 diabetes.

Interleukin-33 (IL-33) is associated with obesity-related inflammation. We aim to investigate IL-33 expression in subcutaneous adipose tissue (SAT) in type 2 diabetes (T2D) subjects and its effects on human adipocyte glucose uptake. Expression of IL-33 was analysed in SAT from cohort studies including subjects with and without obesity and T2D and correlated with insulin resistance and obesity markers. Magnetic resonance imaging (MRI) of tissue fat volumes was performed. We investigated the effects of IL-33 treatment on ex vivo adipocyte glucose uptake. T2D subjects had higher IL-33 gene and protein expression in SAT than the control subjects. IL-33 mRNA expression was positively correlated with markers of dysglycemia (e.g. HbA1c), insulin resistance (e.g. HOMA-IR) and adiposity (BMI, visceral adipose tissue volume, liver and pancreas fat %). In multiple linear regression analyses, insulin resistance and T2D status were the strongest predictors of IL-33, independent of BMI. IL-33 mRNA expression was negatively correlated with expression of genes regulating adipocyte glucose uptake, lipid storage, and adipogenesis (e.g.glucose transporter 1 and 4 (GLUT1/4), fatty acid binding protein 4 (FABP4), and PPARG). Additionally, incubation of SAT with IL-33 reduced adipocyte glucose uptake and GLUT4 gene and protein expression. Our findings suggest that T2D subjects have higher IL-33 gene and protein expressionin SATthan control subjects, which is associated with insulin resistance and reduced gene expression of lipid storage and adipogenesis markers. IL-33 may reduce adipocyte glucose uptake. This opens up a potential pharmacological route for reversing insulin resistance in T2D and prediabetes.

Pancreas fat content, insulin homeostasis and circulating endothelial microparticles inmale essential hypertensive patients.

Thepancreas fat contenthas been poorly investigated in essential hypertension. The authors aim to relatepancreas and liver fat contentwith parameters measuring insulin resistance, beta-cell function and also withmarkers ofendothelial dysfunction and platelet or endothelial cell destruction. The authors studied a group of 40malehypertensive patients with well-controlled blood pressure, maintaining a stable weight, and having not changed their medication during the last year. Pancreas fat content was correlated with HOMA-IR (r=.616, p<.001), HOMA-S (r=-.439, p<.005), beta cell function parameter (r=.457, p<.005), and QUICKI (r=.412, p<.01), whereas liver fat was not patients in thehighest quartileof pancreas fat content had more circulating endothelial microparticles than patients in the other quartiles (median 129 [94.3-200] vs. 60.9 [49.4-88.8], p=.002).However, patients in the highest quartile of the pancreas fat content distribution did not differ from the lowest in hyperemic response after ischemia nor circulating platelet microparticles count. Liver fat content was not related to any of the parameters studied. In a multivariate stepwise binary logistic regression analysis (Wald Method) circulating endothelial microparticles remain significantly associated with pancreas fat content after adjusting for confounding factors, such as tobacco, diabetes mellitus, hypercholesterolemia, or metabolic syndrome. Our results reflect that in essential hypertension,pancreas fat contentis superior toliver fatto study beta-cell functionality and insulin resistance. Moreover, the authors described for the first time thatpancreas fat content isrelated to endothelial cell destruction. Further studies are needed to confirm this point.

#1326096: Quantification of Adiposity, Liver and Pancreas Fat with Magnetic Resonance Imaging in T2DM: Insights From the One Year Of Digital Twin Intervention Trial

#1326096: Quantification of Adiposity, Liver and Pancreas Fat with Magnetic Resonance Imaging in T2DM: Insights From the One Year Of Digital Twin Intervention Trial

Abstract #1325516: Quantification of Adiposity, Liver and Pancreas Fat With Magnetic Resonance Imaging in T2DM: Insights From the One Year of Digital Twin Intervention Trial

Abstract #1325516: Quantification of Adiposity, Liver and Pancreas Fat With Magnetic Resonance Imaging in T2DM: Insights From the One Year of Digital Twin Intervention Trial

Liver fat is superior to visceral and pancreatic fat as a risk biomarker of impaired glucose regulation in overweight/obese subjects.

To investigate the distribution of abdominal fat, particularly ectopic fat accumulation, in relation to glucose metabolism in overweight/obese patients. This study included 257 overweight/obese subjects with body mass index ≥23 kg/m2 . All the subjects underwent an oral glucose tolerance test. Magnetic resonance imaging-proton density fat fraction was used to measure fat accumulation in the liver, pancreas and abdomen. Impaired glucose regulation (IGR) was defined as the presence of prediabetes or diabetes. Liver fat content (LFC) and visceral adipose tissue (VAT) were higher in overweight/obese subjects with diabetes than in those with normal glucose tolerance (NGT). No significant differences were observed in the pancreas fat content and subcutaneous fat area between subjects with NGT and IGR. LFC was an independent risk factor of IGR (odds ratio=1.824 per standard deviation unit, 95% CI 1.242-2.679, p=.002). Compared with the lowest tertile of LFC, the multivariate-adjusted odds ratio for the prevalence of IGR in the highest tertile was 2.842 (95% CI 1.205-6.704). However, no association was observed between the VAT per standard deviation increment and tertiles after adjusting for multiple factors. For discordant visceral and liver fat phenotypes, the high LFC-low VAT and high LFC-high VAT groups had a higher prevalence of IGR than the low LFC-low VAT group. However, there was no difference in the prevalence of IGR between the low LFC-low VAT and low LFC-high VAT groups. Compared with visceral and pancreatic fat content, LFC is a superior risk biomarker for IGR in overweight/obese subjects.

Fatty Pancreas and Cardiometabolic Risk: Response of Ectopic Fat to Lifestyle and Surgical Interventions.

Ectopic fat accumulation in non-adipose organs, such as the pancreas and liver, is associated with an increased risk of cardiometabolic disease. While clinical trials have focused on interventions to decrease body weight and liver fat, ameliorating pancreatic fat can be crucial but successful intervention strategies are not yet defined. We identified twenty-two published studies which quantified pancreatic fat during dietary, physical activity, and/or bariatric surgery interventions targeted at body weight and adipose mass loss alongside their subsequent effect on metabolic outcomes. Thirteen studies reported a significant decrease in body weight, utilising weight-loss diets (n = 2), very low-energy diets (VLED) (n = 2), isocaloric diets (n = 1), a combination of diet and physical activity (n = 2), and bariatric surgery (n = 5) including a comparison with VLED (n = 1). Surgical intervention achieved the largest decrease in pancreatic fat (range: -18.2% to -67.2%) vs. a combination of weight-loss diets, isocaloric diets, and/or VLED (range: -10.2% to -42.3%) vs. diet and physical activity combined (range: -0.6% to -3.9%), with a concurrent decrease in metabolic outcomes. While surgical intervention purportedly is the most effective strategy to decrease pancreas fat content and improve cardiometabolic health, the procedure is invasive and may not be accessible to most individuals. Given that dietary intervention is the cornerstone for the prevention of adverse metabolic health, the alternative approaches appear to be the use of weight-loss diets or VLED meal replacements, which are shown to decrease pancreatic fat and associated cardiometabolic risk.

P8.031: Outcome of Simultaneous Pancreas Kidney Transplantation A Single Center Experience

Introduction: Simultaneous simultaneous pancreas-kidney (SPK) transplantation is one of the treatment options for type 1 diabetes mellitus (T1DM) patients with chronic kidney disease stage 5. The SPKT outcomes are reported to be excellent with a 5 year patient, kidney and pancreas graft survival of 88%, 77% and 69% respectively. Here, we present data regarding outcome of the SPKT done at our institution. Method: We studied patients who underwent SPKT in our institution. 11 T1DM patients who were CKD-5 underwent SPKT from 2014 to 2022. Their graft function and complications were analysed. Results: A total of 12 patients were studied. 50 % were males and 50% were females. Mean age at diagnosis was 14 ± 4 years. Mean age at transplantation was 32 ± 6 years. Mean hemodialysis (HD) vintage was 22 ± 14 months. Mean age of donor was 31 ± 10 years. Induction was with Basiliximab in 1 patient, Alemtuzumab in 5 patients and ATG in 6 patients. Maintenance immunosuppression was tacrolimus and mycophenolate in 8 patients; and, tacrolimus, mycophenolate and everolimus in 2 patients Mean duration of hospital stay was 30 ± 18 days. Mean graft kidney function at 1 month was 1.38 ± 0.48 mg/dl. Mean graft kidney function at 6 months was 1.30 ± 0.47 mg/dl. At 1 year, one patient had severe renal graft dysfunction requiring HD. Among the other 10 patients who completed one year, mean kidney graft function at 1 year was 1.25 ± 0.23 mg/dl. Three (25%) patients had renal allograft loss with need for initiation of HD after 30, 21 and 6 months. Two patients with renal allograft loss required insulin after 19 and 25 months. Three (25%) patients had delayed graft function. Five (41.7%) patients had renal allograft rejection at 1 month. Among the five, three had another episode of rejection at 17, 11 and 4 months. Three (25%) patients had suspected pancreatic graft rejection at POD 13, 13 and 14, which resolved with intravenous steroids. Eight (66.6%) patients had infections in the first year following transplant which included urosepsis, LRTI, tuberculosis, varicella, CMV, cellulitis, periodontal abscess, dental caries and esophagial candidiasis. Seven (58.3%) had surgical complications including pseudo aneurysm of graft pancreas, urinoma, perinephric hematoma, abdominal bleed and DIC, jejujno-jejunal anastomotic site bleed, kinked renal vein requiring re-exploration, graft pancreas fat necrosis with impending GB rupture and peritonitis, and splenic vein thrombosis requiring re-exploration. Other complications noted were incisional hernia, subacute intestinal obstruction, bilateral femoral head avascular necrosis and acute myeloid leukemia. Conclusion: The graft survival and outcomes in our institution is comparable to that of international standards. Surgical complications were noted to be higher compared to renal transplantation. SPK remains to be treatment of choice in T1DM patients with ESRD.