Albuminuria Is Associated with Steatosis Burden in Patients with Type 2 Diabetes Mellitus and Nonalcoholic Fatty Liver Disease

Appendicular Skeletal Muscle Mass to Visceral Fat Area Ratio Predicts Hepatic Morbidities

Background/Aims

: Reports on the association between sarcopenic visceral obesity and non-alcoholic fatty liver disease (NAFLD)-associated morbidities remain scarce. We investigated the association between sarcopenia and visceral obesity, and the influence of this association on hepatic and coronary comorbidities.

Methods

: The appendicular skeletal muscle mass to visceral fat area ratio (SV ratio) was evaluated using bioelectric impedance analysis. NAFLD and significant liver fibrosis were assessed using transient elastography, and high atherosclerotic cardiovascular disease (ASCVD) risk was defined as a 10-year ASCVD risk score >10%. Sarcopenia was defined as appendicular skeletal muscle mass adjusted by body mass index (<0.789 for men and <0.512 for women).

Results

: In total, 82.0% (n=1,205) of the entire study population had NAFLD, and 14.6% of these individuals (n=176) exhibited significant liver fibrosis. Individuals with the lowest SV ratio had a significantly increased risk of NAFLD, significant liver fibrosis, and high ASCVD risk (all p<0.05). Individuals with both the lowest SV ratio and sarcopenia had the highest risk of developing NAFLD (odds ratio [OR]=3.11), significant liver fibrosis (OR=2.03), and high ASCVD risk (OR=4.15), compared with those with a higher SV ratio and without sarcopenia (all p<0.05).

Conclusions

: Low SV ratio combined with sarcopenia was significantly associated with an increased risk of NAFLD, significant liver fibrosis, and high ASCVD risk among individuals with a high risk of NAFLD.

Significance of Diabetic Kidney Disease Biomarkers in Predicting Metabolic-Associated Fatty Liver Disease

Metabolic-associated fatty liver disease (MAFLD) and diabetic kidney disease (DKD) share various pathophysiological factors, and epidemiological evidence suggests that these two diseases are associated. Albuminuria and the estimated glomerular filtration rate, which are conventional biomarkers of DKD, are reportedly associated with the risk or severity of MAFLD. Recently, novel DKD biomarkers reflecting renal tubular injury have been introduced to complement conventional DKD markers. In this article, we looked at previous studies that showed an association between MAFLD and DKD, and also reviewed the significance of DKD biomarkers as predictive risk factors for MAFLD.

Muscle fat contents rather than muscle mass determines nonalcoholic steatohepatitis and liver fibrosis in patients with severe obesity

OBJECTIVE

This study aimed to investigate the association of muscle fat contents, nonalcoholic steatohepatitis (NASH), and liver fibrosis in patients with severe obesity.

METHODS

Patients with severe obesity who underwent bariatric surgery were evaluated for NASH and liver fibrosis. Skeletal muscle was assessed by dual energy x-ray absorptiometry, and muscle fat contents (skeletal muscle fat index [SMFI]) were evaluated by computed tomography-based psoas muscle mass and density.

RESULTS

A total of 104 patients with severe obesity were enrolled (57 with nonalcoholic fatty liver disease activity score <5 and 47 with NASH with nonalcoholic fatty liver disease activity score ≥5). SMFI was higher in patients with NASH than those without NASH (mean [SD], 39.0 [14.5] vs. 46.5 [14.2] for without NASH vs. with NASH; p = 0.009). SMFI was also correlated with hepatic steatosis grade, ballooning severity, and fibrosis stage. Multiple logistic regression analysis showed that SMFI was associated with higher risk of NASH and liver fibrosis (odds ratio = 2.37, 95% CI: 1.13-4.98, p = 0.022 for NASH; odds ratio = 2.93, 95% CI: 1.32-6.48, p = 0.008 for significant liver fibrosis).

CONCLUSIONS

Muscle fat infiltration rather than muscle mass reflects the severities of hepatic steatosis and fibrosis in patients with severe obesity.

Non-alcoholic fatty liver disease and sarcopenia is associated with the risk of albuminuria independent of insulin resistance, and obesity

BACKGROUND

Although non-alcoholic fatty liver disease (NAFLD) is associated with metabolic disorders, its influence on albuminuria has not been determined. The aim of this study was to identify the relationship between NAFLD and albuminuria in the general Korean population.

METHODS

Data from the Korea National Health and Nutrition Examination Surveys (KNHANES) of 2008-2011 were analyzed (n = 1795). Albuminuria was defined as an albumin-to-creatinine ratio of ≥30 mg/g in random spot urine samples. NAFLD was defined as a fatty liver index (FLI) ≥60 or NAFLD liver fat score (LFS) > -0.64.

RESULTS

A total of 289 (16.1 %) subjects were classified as having albuminuria. Subjects with NAFLD exhibited a higher rate of albuminuria than subjects without NAFLD (crude odds ratios [ORs] = 2.60-2.95, all P < 0.001). Regardless of hypertension, insulin resistance, or obesity, the risk for albuminuria was higher in the NAFLD group than in the group without NAFLD (measured by either FLI or LFS; all P < 0.001). When subjects with NAFLD had sarcopenia, the risk of albuminuria further increased (OR = 4.33-4.64, all P < 0.001). Multiple logistic regression analyses also demonstrated that NAFLD was independently associated with albuminuria (OR = 2.58, 95 % confidence interval [CI] = 1.66-4.02, P < 0.001 for FLI, OR = 1.87, 95 % CI = 1.28-2.75, P = 0.001 for LFS).

CONCLUSIONS

NAFLD was associated with an increased risk of albuminuria in the general Korean population. This association was independent of hypertension, insulin resistance, chronic kidney disease, diabetes and obesity, and stronger in subjects with sarcopenia.

Development and implementation of patient-level prediction models of end-stage renal disease for type 2 diabetes patients using fast healthcare interoperability resources

This study aimed to develop a model to predict the 5-year risk of developing end-stage renal disease (ESRD) in patients with type 2 diabetes mellitus (T2DM) using machine learning (ML). It also aimed to implement the developed algorithms into electronic medical records (EMR) system using Health Level Seven (HL7) Fast Healthcare Interoperability Resources (FHIR). The final dataset used for modeling included 19,159 patients. The medical data were engineered to generate various types of features that were input into the various ML classifiers. The classifier with the best performance was XGBoost, with an area under the receiver operator characteristics curve (AUROC) of 0.95 and area under the precision recall curve (AUPRC) of 0.79 using three-fold cross-validation, compared to other models such as logistic regression, random forest, and support vector machine (AUROC range, 0.929–0.943; AUPRC 0.765–0.792). Serum creatinine, serum albumin, the urine albumin-to-creatinine ratio, Charlson comorbidity index, estimated GFR, and medication days of insulin were features that were ranked high for the ESRD risk prediction. The algorithm was implemented in the EMR system using HL7 FHIR through an ML-dedicated server that preprocessed unstructured data and trained updated data.

Decreased Serum Osteocalcin is an Independent Risk Factor for Metabolic Dysfunction-Associated Fatty Liver Disease in Type 2 Diabetes

PURPOSE

The association between serum osteocalcin (OCN) levels and metabolic dysfunction-associated fatty liver disease (MAFLD) is still controversial. Moreover, few studies have explored their relationship in type 2 diabetes mellitus (T2DM) patients so far. The present study aimed to investigate the association of serum OCN levels with MAFLD in Chinese T2DM patients.

METHODS

This cross-sectional, real-world study included 1889 Chinese T2DM inpatients. MAFLD was diagnosed by abdominal ultrasonography. Participants were divided into four groups according to serum OCN quartiles, among which the clinical characteristics were compared. The association of serum OCN levels with the presence of MAFLD was also analyzed in subjects.

RESULTS

After controlling for sex, age, and diabetes duration, the prevalence of MAFLD significantly decreased across the serum OCN quartiles (55.3%, 52.0%, 48.6%, and 42.1% for the first, second, third, and fourth quartiles, respectively, P < 0.001 for trend). A fully adjusted multiple logistic regression analysis showed that serum OCN levels were independently and negatively associated with the presence of MAFLD in T2DM patients (odds ratio, 0.832; 95% confidence interval, 0.719-0.962; P = 0.013). Furthermore, there were significant decreases in HOMA-IR (P = 0.001 for trend) and C-reactive protein (P < 0.001 for trend) levels across the serum OCN quartiles after controlling for sex, age, and diabetes duration.

CONCLUSION

Serum OCN levels were independently and negatively associated with the presence of MAFLD in Chinese T2DM patients, partially due to the improvement of insulin resistance and inflammation mediated by OCN. Serum OCN may be used as a biomarker to assess the risk of MAFLD in T2DM patients.

Liver fibrosis indices are related to diabetic peripheral neuropathy in individuals with type 2 diabetes

The association between nonalcoholic fatty liver (NAFL) or liver fibrosis and diabetic peripheral neuropathy (DPN) has not been well studied. We aimed to investigate the association of NAFL or liver fibrosis indices and DPN in individuals with type 2 diabetes. In this observational study, we included 264 individuals with type 2 diabetes, and calculated non-alcoholic fatty liver disease (NAFLD) liver fat score, NAFLD fibrosis score, and Fibrosis-4 (FIB-4) index to evaluate the status of NAFLD or liver fibrosis. DPN was diagnosed when the Michigan Neuropathy Screening Instrument—Physical Examination score was ≥ 2.5. The NAFLD fibrosis score and FIB-4 index were significantly higher in individuals with DPN than in those without DPN. Logistic analyses showed that the NAFLD fibrosis score and FIB-4 index were associated with DPN after adjustment for covariates (adjusted odds ratio 1.474 and 1.961, respectively). In the subgroup analysis, this association was only significant in the group with a high NAFLD liver fat score (> − 0.640). Serum levels of fetuin-A, a hepatokine, were decreased in individuals with abnormal vibration perception or 10-g monofilament tests compared with their counterparts. The present study suggests that liver fibrosis might be associated with DPN in individuals with type 2 diabetes.