The potential causal association between systemic lupus erythematosus and endocrine and metabolic disorders in the East Asian population: A bidirectional two-sample Mendelian randomization study.

OBJECTIVES: Observational studies indicate a significant correlation between systemic lupus erythematosus (SLE) and endocrine and metabolic disorders, but the causal association between SLE and endocrine and metabolic disorders remains unclear due to the reverse causality and confounding biases commonly presented in conventional observational research. This study endeavors to uncover the causal association between SLE and three common endocrine and metabolic disorders, including Graves' disease (GD), type 2 diabetes mellitus (T2DM), and osteoporosis (OP). METHODS: We used genome-wide association study data for SLE and three endocrine and metabolic disorders in an East Asian population, employing bidirectional two-sample Mendelian randomization (MR) analysis and sensitivity analysis to ascertain the causal association between SLE and endocrine and metabolic disorders. RESULTS: A multiplicative random-effect inverse-variance weighted approach revealed a significant positive correlation between SLE and an elevated risk of GD with an odds ratio (OR) of 1.12 (95% CI: 1.04-1.22, p < .01), and inverse-variance weighted (IVW) analysis also indicated that SLE increased the risk of OP with an OR of 1.035 (95% CI: 1.003-1.068, p < .05). Additionally, GD causally affected SLE in an IVW analysis after Bonferroni correction, with an OR of 1.33 (95% CI: 1.19-1.49, p < .05/3), but the application of multivariable MR analysis resulted in the absence of a causal association of GD on SLE (OR 1.047, 95% CI: 0.952-1.151, p > .05). Lastly, the robustness and validity of the findings were verified through a sensitivity analysis. CONCLUSIONS: We confirmed that SLE has a causal effect on GD as well as OP, but no evidence exists to substantiate a causal link between SLE and T2DM. Our study offers valuable contributions for uncovering the etiology of SLE and endocrine and metabolic disorders and furthering disease risk research while providing potential targets for disease monitoring and therapeutic intervention.

Body size, insulin sensitivity, metabolic health and risk of cardiovascular disease in Chinese adults: Insights from the China Cardiometabolic Disease and Cancer Cohort (4C) study.

AIMS: To assess the excess risk of cardiovascular disease (CVD) associated with different criteria for metabolic health, and the interplay of body size, insulin sensitivity and metabolic health with CVD risk. MATERIALS AND METHODS: We conducted a prospective study involving 115 638 participants from the China Cardiometabolic Disease and Cancer Cohort (4C) Study. Metabolic health was defined using three different definitions: (1) insulin sensitivity defined by homeostatic model assessment of insulin resistance index; (2) absence of metabolic syndrome according to the National Cholesterol Education Program Adult Treatment Panel III criteria; and (3) simultaneous absence of metabolic abnormalities (diabetes, hypertension, dyslipidaemia). The primary endpoint was a composite of incident CVD events comprising the first occurrence of myocardial infarction, stroke, heart failure, or cardiovascular death. RESULTS: During a mean 3.61-year follow-up period, obese individuals with insulin sensitivity (multivariable-adjusted hazard ratio [HR] 1.69, 95% confidence interval [CI] 1.37-2.08), or without metabolic syndrome (HR 1.46, 95% CI 1.13-1.89) still exhibited increased CVD risks, when compared to their normal-weight counterparts. Otherwise, those with obesity but simultaneous absence of metabolic abnormalities demonstrated similar CVD risk compared to normal-weight individuals (HR 0.91, 95% CI 0.53-1.59). CVD risk increased with the number of abnormalities across body mass index categories, regardless of insulin sensitivity. CONCLUSIONS: This study emphasizes the need for refined definitions of metabolic health and advocates for meticulous screening for metabolic abnormalities to reduce cardiovascular risks, even in individuals with normal weight and insulin sensitivity.

Rare correlation of somatic PRKACA mutations with pregnancy-associated aldosterone- and cortisol-producing adenomas: a case report and literature review.

BACKGROUND: Somatic mutations have been observed to induce aldosterone-producing adenomas (APAs). These may be accelerated during pregnancy. Somatic PRKACA mutations are common in cortisol-producing adenomas (CPAs). However, their role in APAs, particularly aldosterone- and cortisol-producing adenomas (A/CPAs), is not well understood. This study aims to investigate the association between PRKACA mutations and the accelerated development of A/CPAs during pregnancy. CASE PRESENTATION: A patient with primary aldosteronism (PA) associated with severe Cushing's syndrome (CS) underwent surgical resection of an adrenal tumor one year after delivery. Pathologic examination revealed an adrenocortical adenoma characterized primarily by zona glomerulosa hyperplasia. Somatic mutation analysis revealed the presence of the somatic PRKACA mutation, which was validated as a deleterious mutation by various computational databases. Immunohistochemical results showed positive staining for cytochrome P450 family 11 subfamily B member 1 (CYP11B1), cytochrome P450 family 11 subfamily B member 2 (CYP11B2), and luteinizing hormone/chorionic gonadotropin receptor (LHCGR). Our study included a review of 20 previously documented cases of aldosterone- and cortisol-producing adenomas (A/CPAs), two of which were concurrently positive for both CYP11B1 and CYP11B2, consistent with our findings. CONCLUSION: Somatic mutations in PRKACA may correlate with the upregulation of LHCGR, which synergistically drives the accelerated growth of co-secretion tumors during pregnancy, thereby exacerbating disease progression.

Abnormal brain regional activity in acute thyrotoxic myopathy assessed by resting-state functional MRI.

BACKGROUND: The neurophysiological mechanisms underlying manifestations of bulbar paralysis in acute thyrotoxic myopathy (ATM) and the afflicted brain areas are unclear. PURPOSE: We used resting-state functional magnetic resonance imaging (rs-fMRI) to evaluate the regional brain activities in patients with ATM. MATERIAL AND METHODS: In total, 16 patients with ATM, 16 patients with hyperthyroidism without ATM, and 16 healthy controls underwent functional MRI scans. By calculating the fractional amplitude of low-frequency fluctuation (fALFF), regional homogeneity (ReHo), and functional connectivity (FC), we assessed variations in resting-state cerebral activity. The correlation between the resting-state functional indexes and clinical assessments was also explored. RESULTS: Compared to the hyperthyroid patients, patients with ATM had stronger ReHo in the left precentral gyrus, reduced ReHo in the left orbitofrontal gyrus (OFG), and decreased FC in the left precentral gyri, left superior frontal gyrus (SFG), and left middle frontal gyrus (MFG). Patients with ATM showed reduced fALFF and ReHo in the right SFG and decreased ReHo in the bilateral supplementary motor area (SMA). A significantly decreased FC in the left SFG and left MFG, right precentral gyrus, and the orbital part of the right interior frontal gyrus was observed in patients with ATM compared to healthy controls. Additionally, fALFF and ReHo values were positively correlated with serum thyroid-related hormones and antibodies. CONCLUSION: The findings of rs-fMRI demonstrate that particular brain regions' functional activity was aberrant in individuals with ATM, especially in SFG area. This finding may help with better understanding of underlying pathophysiology of patients with ATM.

TSAb Modulates Microglia M1 Polarization via Activation of the TSHR-Mediated NF-κB Signaling Pathway.

INTRODUCTION: Thyrotropin receptor-stimulating antibody (TSAb) is a pathogenic antibody in the serum of patients with Graves' disease. The binding of TSAb to thyroid-stimulating hormone receptor (TSHR) in non-thyroid tissue may be associated with the occurrence and development of Graves' disease-related complications. However, only few studies have been conducted on the effects of TSAb on the brain, and the pathogenesis of acute hyperthyroidism myopathy (ATM) is unclear. Therefore, this study aimed to explore the effect of TSAb on the polarization of BV-2 cells in the brain and its possible mechanism and provide a basic experimental basis for ATM. METHODS: BV-2 cells were treated with different concentrations of TSAb. The relative survival rate of BV-2 cells was determined using the CCK-8 assay; the migration ability of BV-2 cells was detected using the Transwell migration assay; and the expression levels of M1/M2 polarization markers (CD86, inducible nitric oxide synthase [iNOS], CD206, and arginase 1 [Arg-1]), TSHR, tumor necrosis factor-alpha (TNF-α), and nuclear factor-kappa B (NF-κB) protein in BV-2 cells were measured using WB. RESULTS: Compared with the negative control group, the proliferative activity of BV-2 cells was significantly increased in the 20, 50, and 100 ng/mL TSAb groups, and the migration ability of BV-2 cells was significantly enhanced in the 50 and 100 ng/mL TSAb groups. The expression levels of M1 polarization markers (CD86 and iNOS), TSHR, TNF-α, and NF-κB protein in BV-2 cells treated with 50 and 100 ng/mL TSAb for 24 h were significantly upregulated, whereas those of M2 polarization markers (CD206 and Arg-1) significantly decreased. CONCLUSIONS: TSAb can induce abnormal activation of microglia, polarize to the M1 phenotype, and promote the inflammatory cascade reaction, in which TSHR plays a key role in NF-κB activation and proinflammatory cytokine release.

U-shaped association between triglyceride and risk of incident diabetes in normoglycemic males with NAFLD: A population-base cohort study.

Background: Serum triglyceride (TG) was an important biomarker for nonalcoholic fatty liver disease (NAFLD), and the association between TG and incident type 2 diabetes mellitus is still under debate with some studies suggesting that elevated TG increase the risk of incident T2DM while others indicative of a negative relationship. These controversial findings may be partially due to the inclusion of the participants with NAFLD. The association between TG and incident type 2 diabetes mellitus in people with NAFLD remained unclear. Therefore, this study aimed to characterize the relationship between the baseline TG levels and incident type 2 diabetes mellitus in a male Japanese cohort with NAFLD. Methods: A total of 1221 males with NAFLD were enrolled from the Nagala (NAFLD in the Gifu Area Longitudinal analysis) study conducted from 2004 to 2015. Cox proportional hazards models were performed to examine the relationship between baseline TG concentration and incident type 2 diabetes mellitus. A two-piecewise linear regression model was explored to evaluate the threshold effect of the baseline TG levels on type 2 diabetes mellitus incidence by using a smoothing function. Results: During a median follow-up of 6.05 years, 39 males with NAFLD at baseline developed type 2 diabetes mellitus. The risk of incident type 2 diabetes mellitus was significantly associated with baseline TG concentration in males with NAFLD after fully adjustment for confounders, with per 10 mg/dl elevation in TG levels increasing the risk of incident diabetes by 8.5% (HR=1.085, CI=1.039-1.132; P<0.001). However, no typical dose-dependent positive association between type 2 diabetes mellitus incidence and the TG levels was observed across the TG tertiles. Interestingly, a U-shaped association between TG concentration and risk of incident type 2 diabetes mellitus was revealed by the two-piecewise linear regression analysis. Baseline TG concentration lower than the threshold values (TG <53mg/dl) were negatively associated with risk of incident type 2 diabetes mellitus. With each 10mg/dl increase in baseline TG levels, the risk of incident type 2 diabetes mellitus decreased by nearly 59% (HR=0.413, 95% CI=0.220-0.778). In contrast, when TG levels were higher than the threshold values (TG>53mg/dl), the risk of incident diabetes increased 9.1% with every 10mg TG elevation (HR=1.091, 95% CI=1.046-1.137). Conclusions: A U-shaped relationship was observed between baseline TG levels and incident type 2 diabetes mellitus in a male normoglycemic Japanese population with NAFLD, although extrapolation of the finding to other populations should be made with caution.

Metabolomics study reveals systematic metabolic dysregulation and early detection markers associated with incident pancreatic cancer.

Biomarkers for early detection of pancreatic cancer are in urgent need. To explore systematic circulating metabolites unbalance and identify potential biomarkers for pancreatic cancer in prospective Chinese cohorts, we conducted an untargeted metabolomics study in subjects with incident pancreatic cancer and matched controls (n = 192) from the China Cardiometabolic Disease and Cancer Cohort (4C) Study. We characterized 998 metabolites in baseline serum and calculated 156 product-to-precursor ratios based on the KEGG database. The identified metabolic profiling revealed systematic metabolic network disorders before pancreatic cancer diagnosis. Forty-Five metabolites or product-to-precursor ratios showed significant associations with pancreatic cancer (P < .05 and FDR < 0.1), revealing abnormal metabolism of amino acids (especially alanine, aspartate and glutamate), lipids (especially steroid hormones), vitamins, nucleotides and peptides. A novel metabolite panel containing aspartate/alanine (OR [95% CI]: 1.97 [1.31-2.94]), androstenediol monosulfate (0.69 [0.49-0.97]) and glycylvaline (1.68 [1.04-2.70]) was significantly associated with risk of pancreatic cancer. Area under the receiver operating characteristic curves (AUCs) was improved from 0.573 (reference model of CA 19-9) to 0.721. The novel metabolite panel was validated in an independent cohort with AUC improved from 0.529 to 0.661. These biomarkers may have a potential value in early detection of pancreatic cancer.

Interaction between smoking and diabetes in relation to subsequent risk of cardiovascular events.

BACKGROUND: Whether smoking modifies the associations of diabetes and risk factor management with subsequent risk of cardiovascular disease (CVD), and whether the smoking related CVD risk differs among people with and without diabetes are unclear. This study aimed to examine the associations and interactions of smoking, diabetes, and risk factor management in relation to incident CVD. METHODS: This nationwide, population-based, prospective cohort study of 20 communities from various geographic regions recruited adults aged 40 years or older during 2011-2012. The follow-up survey was conducted between 2014 and 2016. This study included 126,181 participants who were free from CVD at baseline. RESULTS: Study participants included 19,397 current smokers (15.4%), 6,049 former smokers (4.8%), and 100,735 never smokers (79.8%). Mean (SD) age ranged from 55.8 (8.6) years to 60.7 (9.1) years. Compared with never smokers, heavy smokers exhibited a greater risk of CVD events among participants with diabetes (multivariable-adjusted hazard ratio [HR], 1.45; 95% CI, 1.17-1.78) than among participants without diabetes (HR, 1.20; 95% CI, 1.01-1.42; P for interaction = 0.006). Compared with participants without diabetes, participants with diabetes who were never smokers and had 5 or more controlled risk factors showed no significantly excess CVD risk (HR, 0.93; 95% CI, 0.71-1.22), but the cardiovascular benefits from risk factor management were counteracted among participants with diabetes who were current smokers (HR, 1.28; 95% CI, 0.77-2.14) or former smokers (HR, 1.22; 95% CI, 0.66-2.28). CONCLUSIONS: Smoking and diabetes interacted with each other in relation to increased risk of CVD events, and the beneficial effect of risk factor management on CVD risk among participants with diabetes was attenuated by current or former smoking.

Isotemporal substitution of different behaviour patterns with the presence of MAFLD in Chinese adults.

BACKGROUND: Lack of physical activity and excessive sitting time contributed to ectopic fat accumulation, especially in the liver. Previous studies have illustrated the harm of sedentary behaviour and the benefits of physical activity on fatty liver disease. We aimed to explore the association between the behaviour patterns and the risk of metabolic dysfunction-associated fatty liver disease (MAFLD) using isotemporal substitution model to examine the effect of replacing one behaviour to another while keeping the total time and other behaviours fixed among Chinese middle-aged and elderly population. METHODS: This study included 161 147 participants aged ≥40 years old from the nationwide, population-based cohort of the REACTION study. The International Physical Activity Questionnaire was used to measure self-reported time for sleeping, sitting, walking and moderate-to-vigorous physical activity (MVPA). MAFLD was defined by evidence of fatty liver index (FLI) ≥ 60 in addition to one of the following three patterns, namely overweight/obesity, presence of diabetes, or evidence of metabolic dysregulation. Isotemporal substitution models using logistic regression models to evaluate the association of replacement of different behaviour patterns with each other and the risk of MAFLD. RESULTS: Substitution of 60 minutes per day of sleeping, walking or total MVPA for sitting was associated with a 2%-8% reduction of MAFLD risk in overall participants. In employed individuals, replacing sitting time with occupational MVPA or nonoccupational MVPA both could bring benefits to liver steatosis. Stratified analysis found that replacing 60 minutes of sitting time with an equivalent time of other behaviour pattern could reduce approximately 8% of the risk among MAFLD participants with metabolic abnormalities. Such a relationship might be explained by the important mediated role of metabolic elements, such as waist circumference, body mass index, triglycerides and homoeostasis model assessment of insulin resistance. Furthermore, replacing sitting with MVPA showed a stronger association among participants who got enough sleep (sleep duration ≥7 hours per day). CONCLUSION: Replacing sitting with other behaviour patterns could reduce the prevalence of MAFLD, and such substitution effect was much remarkably in individuals with abnormal metabolic status. Observably, obese individuals were more likely to benefit from appropriate changes in behaviour patterns. Moreover, the analysis of sleep duration stratification appealed that the adequacy of individual sleep duration also had a significant impact on the substitution effect. It is worth noting that adjusting the time allocation of behaviour patterns might have a beneficial impact on liver-metabolic health, and these findings might help us better recognize the importance of reasonable arrangement of behaviour patterns according to the individual's situation.

Association of soy food with cardiovascular outcomes and all-cause mortality in a Chinese population: a nationwide prospective cohort study.

PURPOSE: This study aimed to clarify the association of soy intake with cardiovascular disease (CVD) and all-cause mortality. METHODS: We conducted a prospective cohort study in a Chinese population composed of 97,930 participants aged ≥ 40 years old without CVD at baseline in 2011. Habitual soy intake over a period of 12 months was evaluated using a food frequency questionnaire. All participants were classified into four groups based on their soy food consumption levels: < 15, 15-29, 30-59, and ≥ 60 g/day, with the lowest category as the reference group. Follow-up was conducted between 2014 and 2016 to assess CVD incidence and all-cause mortality since baseline, which was collected from the local mortality and disease registers of the National Disease Surveillance Point System and National Health Insurance System. The Cox proportional hazards regression models were used to analyze the relationship of soy intake with later CVD events and all-cause mortality. RESULTS: During 350,604 person-years of follow-up (median [interquartile range]: 3.16 [2.98, 4.77] years), 2523 total CVD events and 1473 all-cause mortalities were documented. After controlling for covariates, the hazard ratios (95% confidence intervals) for total CVD events across increasing soy intake levels were 1.03 (0.93-1.14); 0.96 (0.86-1.07); and 0.86 (0.75-0.98; p for trend = 0.0434), while those for all-cause mortality were 0.88 (0.77-1.02); 0.86 (0.74-1.00); and 0.83 (0.69-0.99; p for trend = 0.0084). CONCLUSION: High soy intake was associated with a reduced risk of total CVD events and all-cause mortality among a Chinese population.

Cardiovascular Risk Based on ASCVD and KDIGO Categories in Chinese Adults: A Nationwide, Population-Based, Prospective Cohort Study.

BACKGROUND: The Kidney Disease Improving Global Outcomes (KDIGO) clinical practice guideline used eGFR and urinary albumin-creatinine ratio (ACR) to categorize risks for CKD prognosis. The utility of KDIGO's stratification of major CVD risks and predictive ability beyond traditional CVD risk prediction scores are unknown. METHODS: To evaluate CVD risks on the basis of ACR and eGFR (individually, together, and in combination using the KDIGO risk categories) and with the atherosclerotic cardiovascular disease (ASCVD) score, we studied 115,366 participants in the China Cardiometabolic Disease and Cancer Cohort study. Participants (aged ≥40 years and without a history of cardiovascular disease) were examined prospectively for major CVD events, including nonfatal myocardial infarction, nonfatal stroke, and cardiovascular death. RESULTS: During 415,111 person-years of follow-up, 2866 major CVD events occurred. Incidence rates and multivariable-adjusted hazard ratios of CVD events increased significantly across the KDIGO risk categories in ASCVD risk strata (all P values for log-rank test and most P values for trend in Cox regression analysis <0.01). Increases in c statistic for CVD risk prediction were 0.01 (0.01 to 0.02) in the overall study population and 0.03 (0.01 to 0.04) in participants with diabetes, after adding eGFR and log(ACR) to a model including the ASCVD risk score. In addition, adding eGFR and log(ACR) to a model with the ASCVD score resulted in significantly improved reclassification of CVD risks (net reclassification improvements, 4.78%; 95% confidence interval, 3.03% to 6.41%). CONCLUSIONS: Urinary ACR and eGFR (individually, together, and in combination using KDIGO risk categories) may be important nontraditional risk factors in stratifying and predicting major CVD events in the Chinese population.

High concentrations of triglycerides are associated with diabetic kidney disease in new-onset type 2 diabetes in China: Findings from the China Cardiometabolic Disease and Cancer Cohort (4C) Study.

AIMS: The aims of this study were to evaluate the associations of metabolic abnormalities with incident diabetic kidney disease (DKD) and to explore whether dyslipidaemia, particularly high fasting triglyceride (TG), was associated with the development of DKD. METHODS: In total, 11 142 patients with new-onset type 2 diabetes with baseline estimated glomerular filtration rates (eGFR) ≥60 mL/min/1.73 m2 were followed up during 2011-2016. Incident DKD was defined as eGFR <60 mL/min/1.73 m2 at follow-up. Multiple logistic regression analysis was conducted to explore the relationship of metabolic abnormalities at baseline and at follow-up with risks of DKD. High TG was defined by TG ≥1.70 mmol/L. Low high-density lipoprotein cholesterol (HDL-c) was defined by HDL-c <1.0 mmol/L for men or <1.3 mmol/L for women. RESULTS: Participants who developed DKD had higher levels of waist circumference and systolic blood pressure, and lower levels of HDL-c at both baseline and follow-up visits. The DKD group also had higher levels of post-load plasma glucose and TG at follow-up. Multivariate logistic regression analysis revealed that both high TG at baseline [odds ratio (OR) = 1.37, p = .012) and high TG at follow-up (OR = 1.71, p < .001) were significantly associated with increased risks of DKD. Patients with high TG levels at both baseline and follow-up had higher risk of DKD compared with constantly normal TG (OR = 1.65, p < .001) after adjustment for covariates. CONCLUSIONS: In a large population of patients with new-onset type 2 diabetes, a high TG level was an independent risk factor for the development of DKD. Tight TG control might delay the occurrence of DKD.

Waist-to-height ratio, an optimal anthropometric indicator for metabolic dysfunction associated fatty liver disease in the Western Chinese male population.

BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) has been entitled as metabolic-dysfunction associated fatty liver disease (MAFLD). Therefore anthropometric indicators of adiposity may provide a non-invasive predictive and diagnostic tool for this disease. This study intended to validate and compare the MAFLD predictive and diagnostic capability of eight anthropometric indicators. METHODS: The study involved a population-based retrospective cross-sectional design. The Fangchenggang area male health and examination survey (FAMHES) was used to collect data of eight anthropometric indicators, involving body mass index (BMI), waist-to-height ratio (WHtR), waist-hip ratio (WHR), body adiposity index (BAI), cardiometabolic index (CMI), lipid accumulation product (LAP), visceral adiposity index (VAI), and abdominal volume index (AVI). Receiver operating characteristics (ROC) curves and the respective areas under the curves (AUCs) were utilized to compare the diagnostic capacity of each indicator for MAFLD and to determine the optimal cutoff points. Binary logistic regression analysis was applied to identify the odds ratios (OR) with 95% confidence intervals (95% CI) for all anthropometric indicators and MAFLD. The Spearman rank correlation coefficients of anthropometric indicators, sex hormones, and MAFLD were also calculated. RESULTS: All selected anthropometric indicators were significantly associated with MAFLD (P < 0.001), with an AUC above 0.79. LAP had the highest AUC [0.868 (95% CI, 0.853-0.883)], followed by WHtR [0.863 (95% CI, 0.848-0.879)] and AVI [0.859 (95% CI, 0.843-0.874)]. The cutoff values for WHtR, LAP and AVI were 0.49, 24.29, and 13.61, respectively. WHtR [OR 22.181 (95% CI, 16.216-30.340)] had the strongest association with MAFLD, regardless of potential confounders. Among all the anthropometric indicators, the strongest association was seen between LAP and sex hormones. CONCLUSION: All anthropometric indicators were associated with MAFLD. WHtR was identified as the strongest predictor of MAFLD in young Chinese males, followed by LAP and AVI. The strongest association was found between LAP and sex hormones.

A negative association between urinary iodine concentration and the prevalence of hyperuricemia and gout: a cross-sectional and population-based study in Mainland China.

BACKGROUND AND AIMS: Iodine is one of the most important trace elements in the human body. It is not only the main component of thyroid hormones but also has extrathyroid biological functions. To date, there have been no large-scale epidemiological studies on the relationship between hyperuricemia and iodine intake, although both are closely related to health. A population-based epidemiological survey in China offers such an opportunity. METHODS: This population-based cross-sectional study recruited 75,653 adults aged ≥ 18 years from 2015 to 2017 with a randomized, multistage, stratified sampling strategy. Serum uric acid levels and urinary iodine concentrations (UICs) were measured. RESULTS: Stratified by UIC, the prevalence of hyperuricemia was 17.8%, 18.8%, 16.0% and 13.7% in the UIC < 100, 100-199, 200-299, and ≥ 300 µg/L groups, respectively; the prevalence of gout was 4.0%, 3.4%, 2.4% and 1.7%, respectively. The prevalence of gout decreased significantly as the UIC increased. The prevalence of hyperuricemia and gout were markedly higher in postmenopausal females than in the premenopausal population (hyperuricemia: 15.9% vs. 8.3%, X2 = 520.072, p < 0.001; gout: 3.6% vs. 1.3%, X2 = 219.889, p < 0.001), and the prevalence decreased as the UIC increased. Subjects in the more than adequate and excessive iodine groups had lower likelihoods of having hyperuricemia [aOR = 0.81 (95% CI 0.77-0.85), aOR = 0.68 (95% CI 0.64-0.72)] and lower odds of having gout than subjects in the adequate iodine (AI) group [aOR = 0.77 (95% CI 0.68-0.86), aOR = 0.59 (95% CI 0.51-0.68)]. CONCLUSIONS: UIC was inversely associated with the occurrence of hyperuricemia and gout. More in-depth research and prospective studies are needed to explore the molecular mechanisms and confirm the observed association.

The Correlation Between Metabolic Disorders And Tpoab/Tgab: A Cross-Sectional Population-Based Study.

OBJECTIVE: Studies have shown that metabolic abnormalities influence the immune system. Because the prevalence of metabolic and autoimmune thyroid diseases has increased synchronously, the correlation between them was worth exploring. The study objective was to investigate the relationship between metabolic disorders and thyroid auto-antibodies in euthyroid subjects. METHODS: Data were obtained from the Thyroid Diseases and Diabetes Mellitus project survey of 55,891 subjects from 31 provinces in China. The body mass index (BMI), waist circumference (WC), blood pressure, thyroid peroxidase antibodies (TPOAbs), thyroglobulin antibodies (TgAbs), thyroid-stimulating hormone (TSH), urinary iodine concentration, blood glucose, lipid profile, and uric acid levels were evaluated. Free thyroxine and free triiodothyronine levels were measured in patients with abnormal serum TSH levels. RESULTS: In males, the BMI, WC, systolic blood pressure (SBP), diastolic blood pressure (DBP), and 2-hour post-glucose oral glucose tolerance test results of the TPOAb-/TgAb-positive group were significantly higher than those of the TPOAb-/TgAb-negative group. In females, the BMI, WC, SBP, DBP, total cholesterol, and low-density-lipoprotein cholesterol (LDL-C) in the TPOAb-/TgAb-positive group were significantly increased compared to the TPOAb-/TgAb-negative group. Multivariate analysis showed that in males, the odds ratio (OR) of positive TgAbs in the abdominal obesity group was 1.175 (95% confidence interval [CI], 1.016 to 1.359; P = .03), and the OR of positive TPOAbs in the hyperuricemia group was 1.195 (95% CI, 1.041 to 1.372; P = .011). In females, the OR of positive TgAbs was 1.19 (95% CI, 1.068 to 1.326; P = .002) in the high LDL-C group. CONCLUSION: Obesity, high LDL-C, and hyperuricemia were positively correlated with the prevalence of positive thyroid autoantibodies in euthyroid subjects in a gender-dependent manner. This cross-sectional survey showed that metabolic disorders are associated with increased positive thyroid autoantibody levels in euthyroid subjects in a gender-dependent manner. ABBREVIATIONS: AIT = autoimmune thyroiditis; BMI = body mass index; CI = confidence interval; DBP = diastolic blood pressure; FPG = fasting plasma glucose; FT3 = free triiodothyronine; FT4 = free thyroxine; HbA1c = glycated hemoglobin; HDL-C = high-density-lipoprotein cholesterol; LDL-C = low-density-lipoprotein cholesterol; OGTT2hPG = oral glucose tolerance test 2-hours post-glucose; OR = odds ratio; SBP = systolic blood pressure; TC = total cholesterol; TG = triglycerides; TgAb = thyroglobulin antibody; TPOAb = thyroid peroxidase antibody; TSH = thyroid-stimulating hormone; UA = uric acid; WC = waist circumference.

EUS-guided lauromacrogol ablation of insulinomas: a novel treatment.

BACKGROUND AND AIMS: EUS-guided ablation with ethanol has been used to treat insulinoma since 2006 as a minimally invasive alternative for those who are unwilling or unsuitable for surgeries. However, pancreatic fistula, pancreatitis and other adverse effects were found after the procedure in these patients. Herein, we aimed to find a novel feasible injection. METHODS: Seven patients with different chief complaints were diagnosed with insulinoma by symptoms, lab results and pathology results from EUS fine needle aspiration. All the patients refused to have surgeries and were treated by EUS-guided ablation with lauromacrogol. The injection volume was calculated by tumor size. All the patients were followed up by at least 1 month to see if there is any adverse effect. Blood glucose (BG), insulin and C-peptide levels were monitored before and after the procedure. RESULTS: Insulinoma size ranged from 0.76 cm ×0.84 cm to 3.39 cm ×1.84 cm. With a mean injection volume of 1.9 ml (range from 0.9 to 3.9 ml), all the patients showed relief in symptoms after the procedure. During the follow up, their BG, insulin and C-peptide levels went back to normal. None of the patients had any adverse effect. CONCLUSIONS: EUS-guided ablation with lauromacrogol showed good treatment results and received no adverse effect after the procedure. Hence, we consider it as an effective and safe method to treat insulinoma.

Association of polymorphisms in LEPR with type 2 diabetes and related metabolic traits in a Chinese population.

BACKGROUND: Leptin acts as a mediator of inflammation and energy homeostasis by activating leptin receptor (LEPR). We conducted this study to explore the association of polymorphisms in LEPR with type 2 diabetes mellitus (T2DM) and its related metabolic traits. METHODS: We performed a case-control study to investigate the association of polymorphisms in LEPR with T2DM and related metabolic traits in a Chinese population, with a total of 922 T2DM patients and 1031 nondiabetic subjects. Polymorphisms were genotyped using MassARRAY assay. RESULTS: The G allele of rs1327118 was associated with a decreased risk of T2DM in men (P = 0.044, odds ratio = 0.707, 95% confidence interval = 0.504-0.991) and the G allele of rs3806318 was associated with increased systolic blood pressure (SBP) in men with T2DM. Besides, the women patients carrying the G allele of rs1327118 showed increased SBP and diastolic blood pressure (DBP) levels, but decreased high density lipoprotein cholesterol (HDL-C) level. CONCLUSION: Our results suggest that rs1327118 may be associated with SBP, DBP and HDL-C levels in women with T2DM, and rs3806318 may be associated with T2DM and SBP level in men with T2DM. Further studies with larger sample size or functional experiments focused on exact mechanism are required to verify our observations.

Efficacy and safety of henagliflozin combined with continuous subcutaneous insulin infusion in the treatment of Chinese inpatients with type 2 diabetes mellitus based on a continuous glucose monitoring system: protocol of a multicentre, open-label, inpatient, randomised, controlled trial.

INTRODUCTION: The role of sodium-glucose cotransporter 2 inhibitors (SGLT2is) in diabetes treatment is expanding; however, few studies have investigated the efficacy and safety of combining SGLT2is with insulin pump therapy. Notably, there is a scarcity of high-quality, multicentre, clinical trials. Therefore, we aim to conduct a prospective multicentre, randomised, controlled, study to investigate whether treatment of type 2 diabetes patients with continuous subcutaneous insulin infusion (CSII) combined with henagliflozin can reduce the time required for blood glucose control, decrease total insulin requirements, mitigate blood glucose fluctuations and enhance beta-cell function. METHODS AND ANALYSIS: In this inpatient, open-label, multicentre, randomised, controlled trial, 200 patients with type 2 diabetes who have not received hypoglycaemic drugs will be randomly allocated at a 1:1 ratio to either the henagliflozin combined with CSII group or the CSII group. The efficacy and safety of treatment in both groups will be compared. We will use a real-time continuous glucose monitoring system for blood glucose monitoring. The primary aim of this study is to compare the time (% time in range (TIR)) in the range of 3.9~10.0 mmol/L blood glucose between the two treatment groups. The secondary outcome measures will include comparisons of the two treatment groups with respect to the (a) time at TIR >70%; (b) mean amplitude of glycaemic excursions; (c) time below range; (d) total insulin dosage; and (e) time above range. ETHICS AND DISSEMINATION: This study was approved by the Ethics Committee of the First Affiliated Hospital of Guangxi Medical University and is to be conducted in accordance with the Declaration of Helsinki and Good Clinical Practice. The study will be disseminated through peer-reviewed publications and conference presentations. TRIAL REGISTRATION NUMBER: NCT05677334.

The Role of Type 2 Diabetes Mellitus-Related Risk Factors and Drugs in Hepatocellular Carcinoma.

With changes in modern lifestyles, type 2 diabetes mellitus (T2DM) has become a global epidemic metabolic disease, and hepatocellular carcinoma (HCC) is one of the leading causes of cancer-related deaths worldwide. T2DM is a complex metabolic disorder and has been considered an independent risk factor for HCC. Growing evidence supports that T2DM-related risk factors facilitate hepatocarcinogenesis via abundant mechanisms. With the wide implementation of microbiomics, transcriptomics, and immunotherapy, the understanding of the complex mechanisms of intestinal flora and immune cell subsets have advanced tremendously in T2DM-related HCC, uncovering new findings in T2DM-related HCC patients. In addition, reports have indicated the different effects of anti-DM drugs on the progression of HCC. In this review, we summarize the effects of major T2DM-related risk factors (including hyperglycemia, hyperinsulinemia, insulin, chronic inflammation, obesity, nonalcoholic fatty liver disease, gut microbiota and immunomodulation), and anti-DM drugs on the carcinogensis and progression of HCC, as well as their potential molecular mechanisms. In addition, other factors (miRNAs, genes, and lifestyle) related to T2DM-related HCC are discussed. We propose a refined concept by which T2DM-related risk factors and anti-DM drugs contribute to HCC and discuss research directions prompted by such evidence worth pursuing in the coming years. Finally, we put forward novel therapeutic approaches to improve the prognosis of T2DM-related HCC, including exploiting novel diagnostic biomarkers, combination therapy with immunocheckpoint inhibitors, and enhancement of the standardized management of T2DM patients.

Identification of potential biomarkers of gout through weighted gene correlation network analysis.

Background: Although hyperuricemia is not always associated with acute gouty arthritis, uric acid is a significant risk factor for gout. Therefore, we investigated the specific mechanism of uric acid activity. Methods: Using the gout-associated transcriptome dataset GSE160170, we conducted differential expression analysis to identify differentially expressed genes (DEGs). Moreover, we discovered highly linked gene modules using weighted gene coexpression network analysis (WGCNA) and evaluated their intersection. Subsequently, we screened for relevant biomarkers using the cytoHubba and Mcode algorithms in the STRING database, investigated their connection to immune cells and constructed a competitive endogenous RNA (ceRNA) network to identify upstream miRNAs and lncRNAs. We also collected PBMCs from acute gouty arthritis patients and healthy individuals and constructed a THP-1 cell gout inflammatory model, RT-qPCR and western blotting (WB) were used to detect the expression of C-X-C motif ligand 8 (CXCL8), C-X-C motif ligand 2 (CXCL2), and C-X-C motif ligand 1 (CXCL1). Finally, we predicted relevant drug targets through hub genes, hoping to find better treatments. Results: According to differential expression analysis, there were 76 upregulated and 28 downregulated mRNAs in GSE160170. Additionally, WGCNA showed that the turquoise module was most strongly correlated with primary gout; 86 hub genes were eventually obtained upon intersection. IL1ß, IL6, CXCL8, CXCL1, and CXCL2 are the principal hub genes of the protein-protein interaction (PPI) network. Using RT-qPCR and WB, we found that there were significant differences in the expression levels of CXCL8, CXCL1, and CXCL2 between the gouty group and the healthy group, and we also predicted 10 chemicals related to these proteins. Conclusion: In this study, we screened and validated essential genes using a variety of bioinformatics tools to generate novel ideas for the diagnosis and treatment of gout.