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Obesity is characterized by the chronic low-grade activation of the innate immune system. In this respect, macrophage-elicited metabolic inflammation and adipocyte-macrophage interaction have primary importance in obesity. Large quantity of macrophages is accumulated by different mechanisms in obese adipose tissue. Hypertrophic adipocyte-derived chemotactic monocyte chemoattractant protein-1 (MCP-1)/C-C chemokine receptor 2 (CCR2) pathway promotes more macrophage accumulation into the obese adipose tissue. However, obesity-induced changes in adipose tissue macrophage density are mainly dependent on increases in the triple-positive cluster of differentiation (CD)11b+ F4/80+ CD11c+ adipose tissue macrophage subpopulation. As epigenetic regulators, microRNAs (miRNAs) are one of the most important mediators of obesity. miRNAs are expressed by adipocytes as well as macrophages and regulate inflammation with the expression of target genes. A paracrine loop involving free fatty acids and tumor necrosis factor-alpha (TNF-α) between adipocytes and macrophages establishes a vicious cycle that aggravates inflammatory changes in the adipose tissue. Adipocyte-specific caspase-1 and production of interleukin-1beta (IL-1ß) by macrophages; both adipocyte and macrophage induction by toll-like receptor-4 (TLR4) through nuclear factor-kappaB (NF-κB) activation; free fatty acid-induced and TLR-mediated activation of c-Jun N-terminal kinase (JNK)-related pro-inflammatory pathways in CD11c+ immune cells; are effective in mutual message transmission between adipocyte and macrophage and in the development of adipose tissue inflammation. Thus, the metabolic status of adipocytes and their released exosomes are important determinants of macrophage inflammatory output. However, old adipocytes are removed by macrophages through trogocytosis or sending an "eat me" signal. As a single miRNA can be able to regulate a variety of target genes and signaling pathways, reciprocal transfer of miRNAs between adipocytes and macrophages via miRNA-loaded exosomes reorganizes the different stages of obesity. Changes in the expression of circulating miRNAs because of obesity progression or anti-obesity treatment indicate that miRNAs could be used as potential biomarkers. Therefore, it is believed that targeting macrophage-associated miRNAs with anti-obesity miRNA-loaded nano-carriers may be successful in the attenuation of both obesity and adipose tissue inflammation in clinical practice. Moreover, miRNA-containing exosomes and transferable mitochondria between the adipocyte and macrophage are investigated as new therapeutic targets for obesity-related metabolic disorders.
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Adipocitos , Macrófagos , Obesidad , Obesidad/metabolismo , Obesidad/genética , Humanos , Macrófagos/metabolismo , Macrófagos/inmunología , Adipocitos/metabolismo , Animales , MicroARNs/genética , MicroARNs/metabolismo , Transducción de Señal , Tejido Adiposo/metabolismo , Inflamación/metabolismo , Inflamación/patología , Comunicación CelularRESUMEN
The prevalence of obesity and its associated metabolic disorders has emerged as one of the most significant health threats worldwide. The visceral adipose tissue regulatory T cells (VAT Treg) play an essential role in maintaining homeostasis and preventing obesity mainly by secreting Interleikin-10 (IL-10) and Transforming Growth Factor ß (TGF-ß). However, the mechanism that regulates VAT Treg quantity and function remains unclear. Here we elucidate the pivotal role of IL-27 signaling in sustaining the accumulation of VAT Treg cells, thereby conferring protection against obesity. We found that mice with the deficiency of IL-27 receptor Wsx1 gained more body weight and VAT weight than their wild-type littermates when fed both a normal-fat diet (NFD) and a high-fat diet (HFD). Notably, the population of VAT Treg cells was reduced in Wsx1 knockout (KO) mice, regardless of whether they were fed a normal-fat diet (NFD) or a high-fat diet (HFD). Correspondingly, the expression levels of the transcription factors FOXP3 and PPAR-γ, essential for VAT Treg function, were also diminished in Wsx1 KO mice. Taken together, our findings indicate that IL-27 signaling plays a protective role in obesity by supporting the maintenance and accumulation of VAT Treg cells.
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AIMS: Visceral fat predicts the development of metabolic syndrome (MetS), but it is not known whether the visceral to subcutaneous fat area ratio (VSR) measured using imaging predicts MetS risk as well or better. Thus, we aimed to examine if VSR predicted future risk of MetS over 10-years. METHODS: We followed 329 participants in the longitudinal Japanese American Community Diabetes Study without MetS at baseline for its development over 10 years. Intra-abdominal (VFA) and subcutaneous abdominal (SFA) fat areas were measured at baseline and 10-years and used to calculate VSR. Logistic regression was used to estimate the odds of incident MetS by baseline and 10-year change in VSR and other adipose depots with and without adjustment for baseline MetS features. Areas under ROC curves were calculated in predicting the development of MetS. RESULTS: 99 participants developed MetS over 10-years. Logistic regression models showed a higher odds of incident MetS with greater VSR and 10-year VSR change (OR = 1.67, 95 % CI 1.11-2.51; OR = 1.46, 95 % CI 1.06-2.01, respectively) adjusting for age, sex, and MetS features at baseline. However, VSR alone performed poorly at discriminating (AUROC 0.5807) compared to VFA (AUROC 0.6970, p < 0.001) or a logistic model incorporating VFA and SFA (AUROC 0.7221, p = 0.001). CONCLUSIONS: VSR and VFA predict 10-year MetS risk in Japanese Americans, confirming the importance of relatively greater fat distribution in the visceral depot in the development of MetS. However, VSR is a weaker predictor of MetS development and provides less information compared to VFA alone, and its further use in predicting metabolic abnormalities is not recommended.
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Brain-derived neurotrophic factor (BDNF) is expressed in the white adipose tissues (WATs), and the expression increases during high-fat diet (HFD) feeding, implicating its role in obesity. Here, we focused on BDNF expression in epididymal WAT (eWAT), a visceral adipose tissue, in mice. During 2 weeks of HFD feeding, Bdnf mRNA expression in eWAT slightly increased, but a robust increase was observed after 8 weeks of HFD feeding. This upregulation of Bdnf mRNA was correlated with significant induction of hypoxia-inducible factor 1α (Hif1α) and platelet-derived growth factor subunit B (Pdgfb) mRNA in eWAT following 8 weeks of HFD feeding. Furthermore, the increased expression of the M1 macrophage markers was strongly correlated with the elevation of Bdnf mRNA in the eWAT. Notably, 8 weeks of HFD feeding significantly elevated Tnfα mRNA expression in eWAT, while no such induction was observed in inguinal WAT (iWAT). In contrast, the expression of Adipoq (adiponectin), implicated in improved insulin sensitivity and anti-inflammatory effects, was significantly upregulated in iWAT, but not in eWAT. Thus, our study may show the role of BDNF in eWAT in obesity models, potentially contributing to the pathological state of visceral adipose tissues.
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Epigenetic alterations play a pivotal role in conditions influenced by environmental factors such as overweight and obesity. Many of these changes are tissue-specific, which entails a problem in its study since obtaining human tissue is a complex and invasive practice. While blood is widely used as a surrogate biomarker, it cannot directly extrapolate the evidence found in blood to tissue. Moreover, the intricacies of metabolic diseases add a new layer of complexity, as obesity leads to significant alterations in adipose tissue, potentially causing associated pathologies that can disrupt existing correlations seen in healthy individuals. Here, our objective was to determine which epigenetic markers exhibit correlations between blood and adipose tissue, regardless of the metabolic status. We collected paired blood and adipose tissue samples from 64 patients with morbidity obesity and non-obese and employed the MethylationEPIC 850 K array for analysis. We found that only a small fraction, specifically 4.3% (corresponding to 34,825 CpG sites), of the sites showed statistically significant correlations (R ≥ 0.6) between blood and adipose tissue. Within this subset, 5327 CpG sites exhibited a strong correlation (R ≥ 0.8) between blood and adipose tissue. Our findings suggest that the majority of epigenetic markers in peripheral blood do not reliably reflect changes occurring in visceral adipose tissues. However, it is important to note that there exists a distinct set of epigenetic markers that can indeed mirror changes in adipose tissue within blood samples. KEY MESSAGES: More than 8% of methylation sites exhibit similarity between blood and adipose tissues, regardless of BMI The correlation percentage between blood and adipose tissue is strongly influenced by gender The principal genes implicated in this correlation are related to metabolism or the immunological system.
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BACKGROUND: While body mass index (BMI) is the most widely used indicator as a measure of obesity factors in post-transplantation diabetes mellitus (PTDM), body composition is a more accurate measure of obesity. This study aims to investigate the effects of Computed tomography (CT)--based morphemic factors on PTDM and establish a prediction model for PTDM after kidney transplantation. METHODS: The pre-transplant data and glycemic levels of kidney transplant recipients (June 2021 to July 2023) were retrospectively and prospectively collected. Univariate and multivariate analyses were conducted to analyze the relationship between morphemic factors and PTDM at one month, six months, and one year after hospital discharge. Subsequently, a one-year risk prediction model based on morphemic factors was developed. RESULTS: The study consisted of 131 participants in the one-month group, where Hemoglobin A1c (HbA1c) (p = 0.02) was identified as the risk factor for PTDM. In the six-month group, 129 participants were included, and the intermuscular adipose tissue (IMAT) area (p = 0.02) was identified as the risk factor for PTDM. The one-year group had 128 participants, and the risk factors for PTDM were identified as body mass index (BMI) (p = 0.02), HbA1c (p = 0.01), and IMAT area (p = 0.007). HbA1c (%) and IMAT area were included in the risk prediction Model for PTDM in the one-year group with AUC = 0.716 (95 % CI 0.591-0.841, p = 0.001). CONCLUSIONS: Compared to BMI and other morphemic factors, this study demonstrated that the IMAT area was the most potential predictor of PTDM. CLINICAL TRIAL NOTATION: Chictr.org (ChiCTR2300078639).
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BACKGROUND: The recognition of epicardial adipose tissue (EAT) as a cardiac risk factor has increased the interest in strategies that target cardiac adipose tissue. AIM: The effect of bariatric and metabolic surgery (BMS)-induced weight loss on EAT volume was evaluated in this study. METHODS: Fifteen bariatric patients, with (MS) or without (wMS) Metabolic Syndrome, underwent magnetic resonance imaging (MRI) using an open-bore scanner to assess EAT volume, visceral adipose tissue (VAT) thickness, and other cardiac morpho-functional parameters at baseline and 12 months after BMS. Nine patients underwent laparoscopic sleeve gastrectomy (LSG), and 6 patients underwent Roux-en-Y Gastric Bypass (RYGBP). RESULTS: EAT volume significantly decreased in all the patients 12 months post-BMS from 91.6 cm3 to 67.1 cm3; p = 0.0002 in diastole and from 89.4 cm3 to 68.2 cm3; p = 0.0002 in systole. No significant difference was found between the LSG and RYGBP group. Moreover, EAT volume was significantly reduced among wMS compared with MS. In particular, EAT volume in diastole was significantly reduced from 80.9 cm3 to 54.4 cm3; p = 0.0156 in wMS and from 98.3 cm3 to 79.5 cm3; p = 0.031 in MS. The reduction was also confirmed in systole from 81.2 cm3 to 54.1 cm3; p = 0.0156 in wMS and from 105.7 cm3 to 75.1 cm3; p = 0.031 in MS. Finally, a positive correlation was found between EAT loss, BMI (r = 0.52; p = 0.0443) and VAT (r = 0.66; p = 0.008) reduction after BMS. CONCLUSION: These findings suggest that EAT reduction may be a fundamental element for improving the cardio-metabolic prognosis of bariatric patients. Moreover, this is the first study performed with an open-bore MRI scanner to measure EAT volume.
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BACKGROUND: Aging is a complex biological process characterized by obesity and immunosenescence throughout the organism. Immunosenescence involves a decline in immune function and the increase in chronic-low grade inflammation, called inflammaging. Adipose tissue expansion, particularly that of visceral adipose tissue (VAT), is associated with an increase in pro-inflammatory macrophages that play an important role in modulating immune responses and producing inflammatory cytokines. The leukotriene B4 receptor 1 (BLT1) is a regulator of obesity-induced inflammation. Its ligand, LTB4, acts as a chemoattractant for immune cells and induces inflammation. Studies have shown that BLT1 is crucial for cytokine production during lipopolysaccharide (LPS) endotoxemia challenge in younger organisms. However, the expression patterns and function of BLT1 in older organisms remains unknown. RESULTS: In this study, we investigated BLT1 expression in immune cell subsets within the VAT of aged male and female mice. Moreover, we examined how antagonizing BLT1 signaling could alter the inflammatory response to LPS in aged mice. Our results demonstrate that aged mice exhibit increased adiposity and inflammation, characterized by elevated frequencies of B and T cells, along with pro-inflammatory macrophages in VAT. BLT1 expression is the highest in VAT macrophages. LPS and LTB4 treatment result in increased BLT1 in young and aged bone marrow-derived macrophages (BMDMs). However, LTB4 treatment resulted in amplified Il6 from aged, but not young BMDMs. Treatment of aged mice with the BLT1 antagonist, U75302, followed by LPS-induced endotoxemia resulted in an increase in anti-inflammatory macrophages, reduced phosphorylated NFκB and reduced Il6. CONCLUSIONS: This study provides valuable insights into the age- and sex- specific changes in BLT1 expression on immune cell subsets within VAT. This study offers support for the potential of BLT1 in modulating inflammation in aging.
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BACKGROUND: Albuminuria is considered an early and sensitive marker of kidney dysfunction, but also an independent cardiovascular risk factor. Considering the possible relationship among metabolic liver disease, cardiovascular disease and chronic kidney disease, we aimed to evaluate the risk of developing albuminuria regarding the presence of epicardial adipose tissue and the steatotic liver disease status. METHODS: A retrospective long-term longitudinal study including 181 patients was carried out. Epicardial adipose tissue and steatotic liver disease were assessed by computed tomography. The presence of albuminuria at follow-up was defined as the outcome. RESULTS: After a median follow up of 11.2 years, steatotic liver disease (HR 3.15; 95% CI, 1.20-8.26; p = 0.02) and excess amount of epicardial adipose tissue (HR 6.12; 95% CI, 1.69-22.19; p = 0.006) were associated with an increased risk of albuminuria after adjustment for visceral adipose tissue, sex, age, weight status, type 2 diabetes, prediabetes, hypertriglyceridemia, hypercholesterolemia, arterial hypertension, and cardiovascular prevention treatment at baseline. The presence of both conditions was associated with a higher risk of developing albuminuria compared to having steatotic liver disease alone (HR 5.91; 95% CI 1.15-30.41, p = 0.033). Compared with the first tertile of visceral adipose tissue, the proportion of subjects with liver steatosis and abnormal epicardial adipose tissue was significantly higher in the second and third tertile. We found a significant correlation between epicardial fat and steatotic liver disease (rho = 0.43 [p < 0.001]). CONCLUSIONS: Identification and management/decrease of excess adiposity must be a target in the primary and secondary prevention of chronic kidney disease development and progression. Visceral adiposity assessment may be an adequate target in the daily clinical setting. Moreover, epicardial adipose tissue and steatotic liver disease assessment may aid in the primary prevention of renal dysfunction.
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Adiposidad , Albuminuria , Hígado Graso , Pericardio , Humanos , Estudios Retrospectivos , Masculino , Femenino , Pericardio/diagnóstico por imagen , Albuminuria/epidemiología , Albuminuria/diagnóstico , Albuminuria/fisiopatología , Persona de Mediana Edad , Factores de Riesgo , Anciano , Hígado Graso/epidemiología , Hígado Graso/diagnóstico , Hígado Graso/fisiopatología , Estudios Longitudinales , Factores de Tiempo , Tejido Adiposo/diagnóstico por imagen , Tejido Adiposo/fisiopatología , Tejido Adiposo/metabolismo , Medición de Riesgo , Hígado/diagnóstico por imagen , Hígado/patología , Grasa Intraabdominal/fisiopatología , Grasa Intraabdominal/diagnóstico por imagen , AdultoRESUMEN
Introduction: Filipino Americans (FAs) are at high risk for developing type 2 diabetes despite other Asian phenotypes. Evidence suggests that pro-inflammatory interleukin-18 (IL-18) and anti-inflammatory adiponectin biomarkers associated with visceral adipose tissue (VAT) may explain this risk. Objectives: This study aimed to quantify the biomarkers in relation to standard ranges of VAT or typical circulating concentration ranges reported in the literature of IL-18 and adiponectin, examine relationships of these markers, and determine if they were different among those participants without diabetes, prediabetes, and diabetes. Methods: A cross-sectional study was used to enroll FAs without diabetes, prediabetes, or diabetes. VAT was measured using the InBody 570© Body Composition Analyzer. Blood samples were obtained to assess plasma concentrations of IL-18 and adiponectin using enzyme-linked immunosorbent assay. All analyses were conducted using a 5% type I error rate. Mean ±SD and percentages were used to describe the sample and data where appropriate. Pearson's correlations (R) were calculated to determine the relationships between VAT and IL-18 in each group. Analysis of variance was used to determine differences in VAT, IL-18, and adiponectin among groups. Further, nonparametric procedures examined the differences in adiponectin among those within groups. Results: Seventy-five participants were enrolled. Biomarkers above the typical concentration range were observed for VAT, IL-18, and adiponectin. Adiponectin significantly differed among groups with lower values in the diabetes group vs. the nondiabetes group. Conclusions: The findings indicate that while inflammation-related biomarkers, such as adiponectin, correlate with VAT and may serve as indicators of increased risk of type 2 diabetes in FAs, correlation alone does not establish causality.
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Aims: Waist circumference (WC) is a reliable obesity surrogate but may not distinguish between visceral and subcutaneous adipose tissue. Our aim was to develop a novel sex-specific model to estimate the magnitude of visceral adipose tissue measured by computed tomography (CT-VAT). Methods: The model was initially formulated through the integration of anthropometric measurements, laboratory data, and CT-VAT within a study group (n=185), utilizing the Multivariate Adaptive Regression Splines (MARS) methodology. Subsequently, its correlation with CT-VAT was examined in an external validation group (n=50). The accuracy of the new model in estimating increased CT-VAT (>130 cm2) was compared with WC, body mass index (BMI), waist-hip ratio (WHR), visceral adiposity index (VAI), a body shape index (ABSI), lipid accumulation product (LAP), body roundness index (BRI), and metabolic score for visceral fat (METS-VF) in the study group. Additionally, the new model's accuracy in identifying metabolic syndrome was evaluated in our Metabolic Healthiness Discovery Cohort (n=430). Results: The new model comprised WC, gender, BMI, and hip circumference, providing the highest predictive accuracy in estimating increased CT-VAT in men (AUC of 0.96 ± 0.02), outperforming other indices. In women, the AUC was 0.94 ± 0.03, which was significantly higher than that of VAI, WHR, and ABSI but similar to WC, BMI, LAP, BRI, and METS-VF. It's demonstrated high ability for identifying metabolic syndrome with an AUC of 0.76 ± 0.03 (p<0.001). Conclusion: The new model is a valuable indicator of CT-VAT, especially in men, and it exhibits a strong predictive capability for identifying metabolic syndrome.
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Índice de Masa Corporal , Grasa Intraabdominal , Tomografía Computarizada por Rayos X , Circunferencia de la Cintura , Relación Cintura-Cadera , Humanos , Grasa Intraabdominal/diagnóstico por imagen , Masculino , Femenino , Persona de Mediana Edad , Adulto , Tomografía Computarizada por Rayos X/métodos , Circunferencia de la Cintura/fisiología , Síndrome Metabólico/diagnóstico , Obesidad/diagnóstico por imagen , Anciano , Adiposidad/fisiologíaRESUMEN
BACKGROUND: The Chinese visceral adiposity index (CVAI) is a new index to evaluate visceral adipose tissue in the Chinese population. Arterial stiffness (AS) is a kind of degeneration of the large arteries, and obesity is an essential contributing factor to AS. Our study aimed to explore the longitudinal association between CVAI and the risk of AS and to compare the predictive power of CVAI, body mass index (BMI), and waist circumference (WC) for AS. METHODS: Between 2010 and 2020, a total of 14,877 participants participating in at least two brachial-ankle pulse wave velocity (baPWV) measurements from the Kailuan study were included. The Cox proportional hazard regression models were performed to evaluate the longitudinal association between CVAI and the risk of AS. The area under the receiver operating characteristic (ROC) curve was calculated to compare the predictive power of CVAI, BMI, and WC for AS. RESULTS: After adjusting for potential confounding factors, CVAI was significantly associated with the risk of AS. Compared with the first CVAI quartile, the hazard ratios (HR) and 95% CI of the second, third, and fourth quartiles were 1.30 (1.09-1.56), 1.37 (1.15-1.63), and 1.49 (1.24-1.78), respectively. The area under ROC curve of CVAI was 0.661, significantly higher than BMI (AUC: 0.582) and WC (AUC: 0.606). CONCLUSION: CVAI may be a reliable indicator to identify high-risk groups of AS in the Chinese general population, and the predictive power of CVAI for AS was better than BMI and WC.
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BACKGROUND: Given the previously reported harmful effects of abdominal fat burden on kidney function, we aim to investigate the relationship between major adverse kidney events within 30 days (MAKE30) and abdominal obesity in acute necrotizing pancreatitis (ANP) patients and explore the underlying risk factors. METHODS: A retrospective cohort study of all patients admitted within 72 h after the first episode of ANP to a tertiary center between June 2015 and June 2019 was conducted. Automatic image analysis software was used to calculate the area of subcutaneous adipose tissue (SAT), visceral adipose tissue (VAT) and skeletal muscle from computed tomography scans at the umbilical level. The potential risk factors of MAKE30 were analyzed by logistic regression. RESULTS: A total of 208 eligible ANP patients were enrolled, with an incidence of 23% for MAKE30. VAT area was more closely associated with the development of MAKE30, with an area under the ROC curve of 0.69 (cutoff value 200 cm2, 63.8% sensitivity and 66.7% specificity). Multivariate logistic regression analysis demonstrated that VAT area [OR 1.01 (1.01-1.02); p < 0.001] was an independent risk factor in predicting MAKE30. Patients with a VAT area > 200 cm2 had more requirements of renal replacement therapy (32% vs. 12%, P < 0.001), and a significantly higher incidence of other poor clinical outcomes (all p < 0.05). CONCLUSION: Early assessment of the VAT area may help identify ANP patients at high risk of MAKE30, suggesting that it could be a potential indicator for adverse kidney events.
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Visceral white adipose tissues (WAT) regulate systemic lipid metabolism and inflammation. Dysfunctional WAT drive chronic inflammation and facilitate atherosclerosis. Adipose tissue-associated macrophages (ATM) are the predominant immune cells in WAT, but their heterogeneity and phenotypes are poorly defined during atherogenesis. The scavenger receptor CD36 mediates ATM crosstalk with other adipose tissue cells, driving chronic inflammation. Here, we combined the single-cell RNA sequencing technique with cell metabolic and functional assays on major WAT ATM subpopulations using a diet-induced atherosclerosis mouse model (Apoe-null). We also examined the role of CD36 using Apoe/Cd36 double-null mice. Based on transcriptomics data and differential gene expression analysis, we identified a previously undefined group of ATM displaying low viability and high lipid metabolism and labeled them as "unhealthy macrophages". Their phenotypes suggest a subpopulation of ATM under lipid stress. We also identified lipid-associated macrophages (LAM), which were previously described in obesity. Interestingly, LAM increased 8.4-fold in Apoe/Cd36 double-null mice on an atherogenic diet, but not in Apoe-null mice. The increase in LAM was accompanied by more ATM lipid uptake, reduced adipocyte hypertrophy, and less inflammation. In conclusion, CD36 mediates a delicate balance between lipid metabolism and inflammation in visceral adipose tissues. Under atherogenic conditions, CD36 deficiency reduces inflammation and increases lipid metabolism in WAT by promoting LAM accumulation.
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Excess visceral adipose tissue (VAT) plays a crucial role in leading to obesity-related diseases. However, the association between fruit intake (excluding fruit juice) and VAT is not well-known. We aim to further explore this association in a large population. We hypothesized that higher intact fruit intake would be inversely associated with VAT. A total of 9582 adult participants from the National Health and Nutrition Examination Survey and the Food Patterns Equivalents Database 2011-2018 were included. Weighted linear regression models were utilized to evaluate the association between intact fruit intake (from two 24-hour dietary recalls) and VAT area (measured by dual-energy X-ray absorptiometry). Subgroup analysis was conducted to test the robustness of the results. Restricted cubic spline analysis was performed to find the nonlinear association. The median of intact fruit intake was 0.32 cup-equivalent (eq)/d, and the mean of VAT was 104.87 ± 1.23 cm2. Intact fruit intake (increased by 1 cup-eq/d) demonstrated an inverse association with VAT area across three adjusted models, with ß(95% confidence interval) values of -7(-8.49, -5.51), -6(-7.50, -4.51), and -3.02(-4.11, -1.94) in model 1, model 2, and model 3, respectively. Subgroup analysis revealed no interactions were found among age, sex, ethnicity, body mass index, and physical activity subgroups. Restricted cubic spline revealed the inverse association was more significant when intact fruit intake was less than 1.7 cups-eq/d. These findings suggest that increasing intact fruit consumption could be an effective public health strategy to mitigate VAT accumulation and associated health risks, advancing our understanding of dietary impacts on adiposity.
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Dieta , Frutas , Grasa Intraabdominal , Encuestas Nutricionales , Humanos , Masculino , Estudios Transversales , Femenino , Adulto , Persona de Mediana Edad , Estados Unidos , Absorciometría de Fotón , Adulto Joven , ObesidadRESUMEN
OBJECTIVE: Anthropometric measurement provides a simple, noninvasive approach to evaluate obesity in pregnant women. We aimed to develop a predictive model utilizing anthropometric index for gestational diabetes mellitus (GDM), the most common obesity-related complications during pregnancy. METHODS: A prospective cohort of 4709 women was enrolled in Qingdao, China. Logistic regression model was constructed to determine the association of body mass index (BMI), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), subcutaneous adipose tissue (SAT), visceral adipose tissue (VAT) in the first trimester (<14 weeks' gestation) with GDM. The discrimination ability for GDM was assessed using areas under the receiver operating characteristic (ROC) curve (AUC). Delong tests were performed to compare AUC values between different measures. RESULTS: The GDM incidence was 19.50%. GDM risk increased with VAT during early pregnancy, and the risk increased by 117% (OR = 2.17, 95% CI: 1.23-2.83) to 326% (OR = 4.26, 95% CI: 2.29-7.91) in pregnant women with the second quartile or above after adjusting for confounders (all p<.05). Combined index using VAT and BMI demonstrated superior predictive power for GDM compared with BMI alone (p<.05), but didn't differ from VAT (p>.05). Overall, VAT was positively correlated with GDM occurrence, outperforming BMI, WHR, WHtR and SAT in the predicative model. A first-trimester VAT cutoff of 27.05 mm might be promising for GDM risk stratification. CONCLUSIONS: First-trimester routine ultrasound screening may facilitate earlier identification and intervention of GDM. Pregnant women with VAT above the optimal threshold (27.05 mm) might benefit from targeted GDM monitoring.
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Índice de Masa Corporal , Diabetes Gestacional , Obesidad , Humanos , Femenino , Diabetes Gestacional/epidemiología , Embarazo , Adulto , Estudios Prospectivos , China/epidemiología , Obesidad/epidemiología , Obesidad/complicaciones , Relación Cintura-Cadera , Factores de Riesgo , Grasa Intraabdominal/diagnóstico por imagen , Relación Cintura-Estatura , Primer Trimestre del Embarazo , Antropometría/métodos , Estudios de Cohortes , Pueblos del Este de AsiaRESUMEN
INTRODUCTION: Abdominal adipose tissue (AT) mass has adverse effects on the brain. This study aimed to investigate the effect of glucose uptake by abdominal AT on brain aging. METHODS: Three-hundred twenty-five participants underwent total-body positron emission tomography scan. Brain age was estimated in an independent test set (n = 98) using a support vector regression model that was built using a training set (n = 227). Effects of abdominal subcutaneous and visceral AT (SAT/VAT) glucose uptake on brain age delta were evaluated using linear regression. RESULTS: Higher VAT glucose uptake was linked to negative brain age delta across all subgroups. Higher SAT glucose uptake was associated with negative brain age delta in lean individuals. In contrast, increased SAT glucose uptake demonstrated positive trends with brain age delta in female and overweight/obese participants. DISCUSSION: Increased glucose uptake of the abdominal VAT has positive influences on the brain, while SAT may not have such influences, except for lean individuals. HIGHLIGHTS: Higher glucose uptake of the visceral adipose tissue was linked to decelerated brain aging. Higher glucose uptake of the subcutaneous adipose tissue (SAT) was associated with negative brain age delta in lean individuals. Faster brain aging was associated with increased glucose uptake of the SAT in female and overweight and obese individuals.
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The relationship between immunoglobulin A (IgA) levels and chronic liver disease remains poorly understood. The present study evaluated the clinical significance of IgA in 478 new patients who visited the Outpatient Clinic of Nagasaki Harbor Medical Center (Nagasaki, Japan). Serum IgA levels in comparison to liver stiffness (LS), as measured using a FibroScan® device, were evaluated in 358 patients. Furthermore, in 270 patients, the associations between serum IgA levels and body composition were analyzed using computed tomography. The IgA levels of patients in the groups with Child-Pugh classification B and C (CPGBC), alcoholic liver disease (ALD), steatotic liver disease (SLD) or diabetes were higher than the IgA levels of patients in the groups with CPGA, non-ALD, non-SLD or no diabetes, respectively. Logistic regression analysis showed that CPGBC, ALD, high IgG (>1,700 mg/dl), high macrophage galactose-specific lectin-2 binding protein glycosylation isomer (M2BPGi) (>1 cut-off index) and diabetes were contributing factors for high serum IgA level (>410 mg/dl). The ratio of IgA level divided by IgG level was highest in patients with ALD, followed by those with metabolic dysfunction-associated SLD (MASLD) and non-SLD. In SLD, IgA level was associated more with LS than M2BPGi and fibrosis-4 (FIB-4) in multiple regression analysis. In the receiver operating characteristic analysis, IgA level, M2BPG, and FIB-4 had similar area under the curve values for discriminating high LS (>8 kPa) from low LS (≤8 kPa) in SLD. IgA levels were also associated with visceral fat, and this association was only found in women. In conclusion, elevated IgA is an indicator of liver fibrosis that also reflects the presence of diabetes and an increased visceral fat level. Therefore, IgA is considered a useful marker of liver disease severity in the current era of increased SLD.
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Excessive visceral adipose tissue (VAT) is a significant risk factor for various diseases. Diet plays a crucial role in controlling obesity. This study examined the association between the Dietary Approaches to Stop Hypertension (DASH) diet and VAT in 9027 adults using data from the National Health and Nutrition Examination Survey. Linear regression models were used to explore this association, with subgroup analyses included. Results showed a significant inverse association between DASH scores and VAT area, even after adjusting for covariates (ß = -2.18, 95% CI: -3.10, -1.27). Participants in the highest DASH score tertile had significantly lower VAT areas compared to those in the lowest tertile (ß = -7.2, 95% CI: -10.40, -4.01). This inverse association was most pronounced in middle-aged participants. Further prospective cohort studies are necessary to confirm these findings.
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OBJECTIVES: Significant variability exists in the contrast phases applied during computed tomography (CT) studies when assessing morphometric measurements of muscle area (CT-assessed sarcopenia) and density (CT-assessed myosteatosis) and visceral adipose tissue area (CT-assessed visceral obesity). This study explored the impact of contrast phase timing on changes in morphometric measurements of body composition. METHODS: This single-center retrospective cohort study included 459 patients undergoing a multiphase CT scan. Morphometric measurements were obtained at the third lumbar vertebra level. Patients were classified as sarcopenic, myosteatotic, or visceral obese using predefined cutoff values. The intraclass correlation coefficient was used to assess correlations across different enhancement phases, and Cohen's κ measured the inter-enhancement agreement for sarcopenia, myosteatosis, and visceral obesity. RESULTS: Significant differences were observed in mean visceral adipose tissue area, muscle density, and muscle area (P < 0.001). The intraclass correlation coefficient between unenhanced and arterial phases was 0.987 (95% confidence interval [CI], 0.759-0.996) for adipose tissue, 0.995 (95% CI, 0.989-0.997) for muscle area, and 0.850 (95% CI, 0.000-0.956) for muscle density. However, when morphometric measurements were categorized using predefined cutoffs, the κ agreement was considerably lower, particularly for CT-assessed myosteatosis, ranging from 0.635 (unenhanced to arterial) to 0.331 (unenhanced to late venous phase). CONCLUSIONS: Different CT contrast phases induce small but clinically significant alterations in the measurements of muscle area and density and visceral fat. Such minor changes can result in misclassification issues when fixed cutoff values are used to diagnose myosteatosis with CT. This underscores the importance of reporting absolute values and the specific contrast phase used in future studies.