Biomarkers Of Metabolic Syndrome Research Articles

A-FABP and E-FABP as cutaneous biomarkers of Metabolic Syndrome

Introduction: In Metabolic syndrome (MetS), tissues such as adipose, liver, and skin with very active lipid metabolism are dysfunctional, making it diffcult to store the excess fat. Fatty acid binding proteins (FABPs) are cytosolic proteins that can reversibly bind to lipids and transport them to different cell organelles. In this work, we focus on adipocyte (A-FABP) and epidermal (E-FABP) FABPs, which have been proposed as potential biomarkers of MetS due to their different tissue expression patterns. When MetS impacts the skin, the integrity of the barrier is affected, such as changes in the structure and function of collagen fibers, changes in microcirculation and macrocirculation, damage to lymphatic vessels, diffculty in wound healing, increased production of sebum and sweat. All those changes seem to depend on the abnormal function of lipids and FABPs. In MetS, E-FABP and A-FABP increase significantly in serum and probably in the skin in order to facilitate lipid transport. For this reason, they can be considered a molecular sensors of the inflammation induced in the skin by MetS. Objective: Analyze the concentrations of A-FABP and E-FABP in the skin of a MetS model to determine their value as biomarkers. Methods: We used a Wistar rat model (N=32) of MetS with a 41% extra fat diet during 8, 18, 28, and 52 weeks. The protocol was approved by the "Internal Committee for the Care and Use of Laboratory Animals of the Faculty of Medicine of the Autonomous University of San Luis Potosí" (assigned code: BGFMUASLP -07-19). At the end of every period of time (8, 18, etc) a biopsy of the skin (1 cm2) was took and cleaned from connective and subcutaneous adipose tissue. For Western Blot (WB) experiments the protein extraction was performed using cell lysis and homogenization, and 50 μg of protein of each sample was used. The WB was performed following the supplier's specifications and the standardized protocol in our laboratory. The primary antibodies used for incubation were rat A-FABP antibody (R&D Systems, AF1443) and rat E-FABP antibody (R&D Systems, AF1476). The secondary antibody was Goat IgG HRP-conjugated Antibody (R&D Systems, HAF017). As a control gene, GAPDH reconstituted as indicated by the supplier. Bands were visualized using chemiluminescent detection, and their density in each group was analyzed using ImageJ software. Results: animals developed MetS after being 28 weeks in high fat diet showing excess of abdominal fat, hypertension, high triglycerides, and low cholesterol-HDL. At 52 weeks, we observed an increase in total cholesterol and in the severity of the blood lipids mentioned. Also, 40% of the animals showed visible skin lesions characterized by redness, eruptions, scratching marks, and wounds that do not heal, mainly in the cervical region, suggesting an inflammatory process. A-FABP expression was increased in MetS rats at 8 and 18 weeks and remained high at 28 and 52 weeks, although the increase was not significant. On the other hand E-FABP expression increased in MetS rats from week 18 and 28 but decreasing at 52. It suggests a greater presence of the protein and a probable participation of it in the inflammatory processes and skin lesions observed. Conclusions: E-FABP and A-FABP, increase significantly in the skin of MetS rats, mainly in the in the initial stages of MetS. E-FABP can considered a molecular sensor of skin inflammation induced by obesity. We also observed the presence of A-FABP in the skin, probably from subcutaneous adipose tissue. We propose the feasibility of both FABPs as early markers of MetS. This work has been supported by the National Council of Science and Technology (CONAHCYT) Project No. 320024. GE Donjuán-Loredo thanks CONAHCYT CVU 775467. This is the full abstract presented at the American Physiology Summit 2024 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

Dysregulation of miR-335-5p in People with Obesity and its Predictive Value for Metabolic Syndrome.

The epidemic of obesity and metabolic syndrome has become the most serious global public health problem. The part played by microRNA (miRNA) in the onset and progression of obesity and metabolic syndrome has been increasingly focused upon. The goal of this study was to explore miR-335-5p as a potential predictive biomarker or therapeutic target for obesity and metabolic syndrome. The expression level of miR-335-5p was detected by qRT-PCR. The diagnostic value of miR-335-5p was evaluated by ROC curve. The association between serum miR-335-5p levels and various clinical parameters was assessed using the chi-square test. Logistic regression analysis was used to evaluate the risk factors of metabolic syndrome in obese population. The biological processes and molecular mechanisms are studied through GO and KEGG enrichment analysis. The ROC curve analysis revealed that miR-335-5p could serve as a predictive indicator for the development of obesity accompanied by metabolic syndrome. Logistic regression analysis revealed that BMI, TG, FBG, HOMA-IR, and miR-335-5p expression represent independent risk factors of metabolic syndrome occurrence. Chi-square test analysis revealed that patients with higher values of BMI, SBP, DBP, TG, FBG, and HOMA-IR exhibited a more significantly increased expression of miR-335-5p in their serum. In conclusion, miR-335-5p holds predictive and diagnostic value for obesity and metabolic syndrome and has potential to serve as a biomarker for these conditions.

Serum klotho as a novel biomarker for metabolic syndrome: findings from a large national cohort.

Metabolic syndrome is a cluster of metabolic abnormalities that significantly increase the risk of cardiovascular disease and mortality. The identification of novel biomarkers associated with mortality in patients with metabolic syndrome could facilitate early risk stratification and targeted interventions. We conducted a large prospective cohort study using data from five cycles (2009-2016) of the National Health and Nutrition Examination Survey (NHANES) database, including a total of 40,439 participants. Logistic regression analysis was used to assess the association between serum klotho protein levels and metabolic syndrome, while Cox regression analysis was employed to examine the correlation between serum klotho levels and all-cause mortality. Mortality data were updated until December 31, 2019. After adjusting for demographic and socioeconomic confounders, the logistic regression model demonstrated that higher serum klotho levels were significantly associated with a decreased prevalence of metabolic syndrome (OR [95% CI] Highest vs. lowest quartile: 0.84 [0.70-0.99], P=0.038). In the Cox regression model, elevated klotho levels were found to significantly reduce the risk of all-cause mortality among individuals with metabolic syndrome (HR [95% CI] Highest vs. lowest quartile: 0.68 [0.51-0.90], P=0.006). Serum klotho levels were found to be inversely associated with the prevalence of metabolic syndrome, independent of potential confounding factors such as demographics, socioeconomic status, and lifestyle factors. Furthermore, higher klotho levels strongly indicated a lower risk of all-cause mortality in individuals with metabolic syndrome.

Dietary Insulin Index (DII) and Dietary Insulin load (DIL) and Caveolin gene variant interaction on cardiometabolic risk factors among overweight and obese women: a cross-sectional study

Background and objectiveStudies have shown that Caveolin gene polymorphisms (CAV-1) are involved in chronic diseases, such as metabolic syndrome. Moreover, the dietary insulin index (DII) and dietary insulin load (DIL) have been shown to potentially elicit favorable effects on cardiovascular disease (CVD) risk. Therefore, this study sought to investigate the effect of DII DIL and CAV-1 interaction on CVD risk factors.MethodsThis cross-sectional study consisted of 333 overweight and obese women aged 18–48 years. Dietary intakes, DII, and DIL were evaluated using the 147-item food frequency questionnaire (FFQ). Serum profiles were measured by standard protocols. The CAV-1 rs 3,807,992 and anthropometric data were measured by the PCR–RFLP method and bioelectrical impedance analysis (BIA), respectively. Participants were also divided into three groups based on DII, DIL score, and rs3807992 genotype.ResultsThis comparative cross-sectional study was conducted on 333 women classified as overweight or obese. Participants with A allele for the caveolin genotype and higher DII score showed significant interactions with high-density lipoprotein (HDL) (P for AA = 0.006 and P for AG = 0.019) and CRI-I (P for AA < 0.001 and P for AG = 0.024). In participants with AA genotype and greater DII score, interactions were observed in weight, systolic blood pressure (SBP), diastolic blood pressure (DBP), total cholesterol, CRI-II, fat-free mass (FFM), and skeletal muscle mass (SMM) (P < 0.079). Those with higher DIL scores and AA genotype had higher weight (P = 0.033), FFM (P = 0.022), and SMM (P = 0.024). In addition, DIL interactions for waist/hip ratio (WHR), waist circumference (WC), triglyceride (TG), CRI-I, and body fat mass (BFM) among individuals with AA genotype, while an HDL interaction was observed in individuals with AG and AA (P < 0.066).ConclusionThe findings of the present study indicate that people who carry the caveolin rs3807992 (A) allele and have greater DII and DIL scores are at higher risk for several cardiovascular disease and metabolic syndrome biomarkers. These results highlight that diet, gene variants, and their interaction, should be considered in the risk evaluation of developing CVD.

Evaluation of Metabolic and Cardiovascular Risk Measured by Laboratory Biomarkers and Cardiopulmonary Exercise Test in Children and Adolescents Recovered from Brain Tumors: The CARMEP Study.

In recent decades, the improvement of treatments and the adoption of therapeutic protocols of international cooperation has led to an improvement in the survival of children affected by brain tumors. However, in parallel with the increase in survival, long-term side effects related to treatments have been observed over time, including the activation of chronic inflammatory processes and metabolic alterations, which can facilitate the onset of metabolic syndrome and increased cardiovascular risk. The aim of this study was to find possible statistically significant differences in the serum concentrations of early biomarkers of metabolic syndrome and in the results of cardiopulmonary exercise testing between survivors of childhood brain tumors and healthy controls. This is a prospective and observational study conducted on a group of 14 male patients who survived childhood brain tumors compared with the same number of healthy controls. The concentrations of early metabolic syndrome biomarkers [adiponectin, leptin, TNF-α, IL-1, IL-6, IL-10, endothelin-1, apolipoprotein B, and lipoprotein (a)] were measured and a cardiopulmonary exercise test (CPET) was performed. Results: Childhood brain tumor survivors performed worse on average than controls on the CPET. Furthermore, they showed higher endothelin-1 values than controls (p = 0.025). The CPET results showed an inverse correlation with leptin. The differences found highlight the greater cardiovascular risk of brain tumor survivors, and radiotherapy could be implicated in the genesis of this greater cardiovascular risk.

Ceramides and metabolic profiles of patients with acute coronary disease: a cross-sectional study.

Metabolic Syndrome (MS) is a rapidly growing medical problem worldwide and is characterized by a cluster of age-related metabolic risk factors. The presence of MS increases the likelihood of developing atherosclerosis and significantly raises the morbidity/mortality rate of acute coronary syndrome (ACS) patients. Early detection of MS is crucial, and biomarkers, particularly blood-based, play a vital role in this process. This cross-sectional study focused on the investigation of certain plasma ceramides (Cer14:0, Cer16:0, Cer18:0, Cer20:0, Cer22:0, and Cer24:1) as potential blood biomarkers for MS due to their previously documented dysregulated function in MS patients. A total of 695 ACS patients were enrolled, with 286 diagnosed with MS (ACS-MS) and 409 without MS (ACS-nonMS) serving as the control group. Plasma ceramide concentrations were measured by LC-MS/MS assay and analyzed through various statistical methods. The results revealed that Cer18:0, Cer20:0, Cer22:0, and Cer24:1 were significantly correlated with the presence of MS risk factors. Upon further examination, Cer18:0 emerged as a promising biomarker for early MS detection and risk stratification, as its plasma concentration showed a significant sensitivity to minor changes in MS risk status in participants. This cross-sectional observational study was a secondary analysis of a multicenter prospective observational cohort study (Chinese Clinical Trial Registry, https://www.who.int/clinical-trials-registry-platform/network/primary-registries/chinese-clinical-trial-registry-(chictr), ChiCTR-2200056697), conducted from April 2021 to August 2022.

Protoplasmic Perivascular Astrocytes Play a Crucial Role in the Development of Enlarged Perivascular Spaces in Obesity, Metabolic Syndrome, and Type 2 Diabetes Mellitus

Astrocytes (ACs) are the most abundant cells in the brain and, importantly, are the master connecting and communicating cells that provide structural and functional support for brain cells at all levels of organization. Further, they are recognized as the guardians and housekeepers of the brain. Protoplasmic perivascular astrocyte endfeet and their basal lamina form the delimiting outermost barrier (glia limitans) of the perivascular spaces in postcapillary venules and are important for the clearance of metabolic waste. They comprise the glymphatic system, which is critically dependent on proper waste removal by the pvACef polarized aquaporin-4 water channels. Also, the protoplasmic perisynaptic astrocyte endfeet (psACef) are important in cradling the neuronal synapses that serve to maintain homeostasis and serve a functional and supportive role in synaptic transmission. Enlarged perivascular spaces (EPVS) are emerging as important aberrant findings on magnetic resonance imaging (MRI), and are associated with white matter hyperintensities, lacunes, and aging, and are accepted as biomarkers for cerebral small vessel disease, increased obesity, metabolic syndrome, and type 2 diabetes. Knowledge is exponentially expanding regarding EPVS along with the glymphatic system, since EPVS are closely associated with impaired glymphatic function and waste removal from the brain to the cerebrospinal fluid and systemic circulation. This review intends to focus on how the pvACef play a crucial role in the development of EPVS.

Pharmacogenetic Factors of Clozapine-Induced Metabolic Syndrome

(1) Introduction: Despite modern therapies, approximately 20-30% of patients with schizophrenia remain resistant to psychopharmacotherapy. Clozapine is the only antipsychotic with proven efficacy for treatment resistance in schizophrenia (TRS). The most common adverse drug reaction (ADR) during clozapine administration are metabolic disturbances, particularly metabolic syndrome (MS). Because MS leads to a twofold increase in mortality from cardiovascular disease and a 1.5-fold increase in mortality from all causes, and clozapine is often the only treatment option for TRS, it is critical to monitor and management metabolic abnormalities. The high interindividual differences in the development of clozapine-induced MS suggest that genetic factors may play an important role. (2) Purpose: The aim of this study was to identify relevant single nucleotide polymorphisms (SNPs) of candidate genes for clozapine-induced MS, because based on these data, a genetic risk panel can be constructed to assess the likelihood of developing clozapine-induced MS in patients with schizophrenia. (3) Materials and Methods: We searched for full-text publications in PubMed, Web of Science, Springer, Google Scholar, and electronic libraries in English and Russian, available from inception to 30 October 2023. Keywords were the following: metabolic disturbances, clozapine, metabolic syndrome, schizophrenia, genes, adverse drug reactions, antipsychotics, pharmacogenetics, genetic biomarker, single nucleotide variant, polymorphism, association, variation, and metabolic syndrome genes. (4) Results: we included 6 naturalistic cross-sectional open-label trials, included patients with schizophrenia, schizoaffective, schizophreniform disorder or psychotic disorder, who were treated with first and second generations antipsychotics, among which there was also clozapine and 1 meta-analysis which reviewed association between HTR2C gene polymorphisms and anti-psychotic-induced MS in schizophrenia patients. According to the results of our scoping review the carriage of SNPs in the studied candidate genes associated with clozapine-induced MS are the following: 1) CYP1A2 gene: genotype AA of rs762551 (NG_008431.2:g.32035C&gt;A); 2) CYP2C19 gene: CYP2C19*2 polymorphism; 3) HTR2C gene: genotype CC of rs518147 (NM_000868.2:c.-697G&gt;C), minor allele C of rs1414334 (NG_012082.3:g.324497C&gt;G), genotype CC of rs518147 (NM_000868.2:c.-697G&gt;C), genotype GG of rs12836771 (NG_012082.3:g.71829A&gt;G); 4) LEP gene: genotypes AG and GG of rs7799039 (NG_044977.1:g.475G&gt;A); 5) LEPR gene: genotypes AG and GG of rs1137101 (NG_015831.2:g.177266A&gt;G). (4) Conclusions: Uncovering the genetic biomarkers of clozapine-induced MS may provide a key to developing a strategy for the personalized prevention and treatment of this ADRs of clozapine in patients with schizophrenia spectrum disorders in real clinical practice.

Non-HDL cholesterol and long-term follow-up outcomes in patients with metabolic syndrome

BackgroundNon-high-density lipoprotein-cholesterol (non-HDL-C) has been identified as a potential biomarker for metabolic syndrome (MetS). However, its predictive capability for MetS varies among different ethnic groups, necessitating further investigation. This study aimed to assess the role of non-HDL-C in the early diagnosis of MetS in the Iranian population through a longitudinal study with a 10-year follow-up period.MethodsOur study enrolled 4684 individuals from the MASHAD (Mashhad Stroke and Heart Atherosclerotic Disorder) cohort who were followed for 10 years to examine the association between non-HDL-C and the incidence of MetS. Additionally, the contribution of individual MetS components to the overall burden was evaluated.ResultsA total of 1599 subjects developed MetS, while 3085 did not. Non-HDL-C levels ≥ 130 were associated with a 42% higher risk of developing MetS (relative risk (RR), 1.42; 95% confidence interval (CI), 1.25–1.62). Regarding MetS components, elevated waist circumference (WC) showed the strongest association with MetS incidence (RR, 2.32; 95% CI, 1.45–2.9), whereas triglyceride (TG) levels ≥ 150 mg/dL demonstrated the weakest association (RR, 1.23; 95% CI, 1.04–1.46). Additionally, higher HDL-C levels were reported to be 20% protective against the risk of MetS (RR, 0.8; 95% CI, 0.73–0.86). Moreover, fasting blood glucose (FBG) levels ≥ 100 mg/dL were not significantly linked to MetS burden, while systolic blood pressure (BP) levels ≥ 130 mmHg or diastolic BP levels ≥ 85 mmHg increased the risk of MetS incidence (RR, 1.25; 95% CI: 1.11–1.41).ConclusionsElevated non-HDL-C and increased WC serve as significant predictors of MetS in Iranians. Strategies targeting non-HDL-C levels and weight loss should be emphasized to mitigate the risk of MetS development.

Metabolic Dysfunction, Triglyceride-Glucose Index, and Risk of Severe Asthma Exacerbation

Metabolic conditions may worsen asthma. There is a need to define a composite biomarker of metabolic dysfunction that has relevance to asthma outcomes. To determine the association of the triglyceride-glucose index (TyG), a biomarker of metabolic syndrome and insulin resistance, with risk of severe asthma exacerbation. A 5-year retrospective cohort of patients with asthma receiving health care from the US Veterans Health Administration from January 1, 2015, to December 31, 2019, was constructed. Fasting TyG values were extracted. Patients were followed for a severe asthma exacerbation, defined as an asthma-related corticosteroid prescription fill or an emergency encounter or hospitalization for asthma. Adjusted models estimated the relative hazard of exacerbation associated with elevated TyG, accounting for known exacerbation risk factors. A total of 108,219 patients fulfilled study criteria. Over 286,343 person-years of follow-up, 21,467 exacerbations were identified, corresponding to a crude rate of 7.5 exacerbations/100 person-years. In exploratory analysis, we found a threshold effect at a TyG of 8.3, which was defined as elevated. In a fully adjusted model, patients with an elevated TyG had a 6% (95% CI, 3%-10%) higher hazard for severe asthma exacerbation, independent of eosinophil count, smoking, obesity, and asthma treatment intensity. Elevated TyG is a risk factor for severe asthma exacerbation independent of conventional predictors. Elevated TyG may identify patients who warrant more intensive asthma treatment and who are candidates for future clinical trials of metabolic intervention for purposes of improving asthma morbidity.

Tumor Necrosis Factor (TNF) α, Endothelin (ET) 1 and α1-Acid Glycoprotein (AGP) as Potential Urine and Serum Markers of Metabolic Complications in Psoriasis?

Psoriasis, one of the most frequent dermatoses, strongly associated with metabolic disorders which increase patients' comorbidity and mortality. Hence, it is essential to look for markers of such complications. Our aim was to assess the clinical utility of urinary tumor necrosis factor alpha (TNFα), endothelin 1 (ET-1) and α1-acid glycoprotein (α1AGP) as well as their serum concentrations as markers of metabolic complications in psoriatics, and to examine the relations of these markers to clinical and demographic parameters. The study involved 60 patients with plaque psoriasis and 30 volunteers without skin diseases (the control group). Serum and urinary concentrations of TNFα, ET-1 and α1AGP were measured by ELISA. Psoriasis severity was assessed using the psoriasis activity and severity index (PASI). Routine laboratory investigations were additionally performed. All serum markers were significantly higher in the patients compared to the controls. TNFα was undetectable in the urine in half of the patients. The urinary ET-1/creatinine concentration ratio was significantly lower in the psoriatics than the controls, whereas the absolute urinary α1AGP was significantly higher and the α1AGP/creatinine ratio was insignificantly different. There was no correlation between serum or urinary markers and PASI. All serum markers were higher in patients with psoriasis lasting less than 15years. Serum TNFα, ET-1 and α1AGP seem to be useful biomarkers of metabolic syndrome in psoriatics. ET-1 could perhaps become a urinary marker of metabolic disorders in psoriatics, but further studies are required to confirm that a decreased ET-1 concentration in urine is a reliable predictive tool. Increased urinary α1AGP also requires more in-depth research as a potential marker. TNFα urine assessment does not seem to be useful for screening for metabolic disorders in psoriatics. Serum or urinary TNFα, ET-1 and α1AGP do not seem to be associated with psoriasis severity or duration.

Identification of candidate metabolite biomarkers for metabolic syndrome and its five components in population-based human cohorts

BackgroundMetabolic Syndrome (MetS) is characterized by risk factors such as abdominal obesity, hypertriglyceridemia, low high-density lipoprotein cholesterol (HDL-C), hypertension, and hyperglycemia, which contribute to the development of cardiovascular disease and type 2 diabetes. Here, we aim to identify candidate metabolite biomarkers of MetS and its associated risk factors to better understand the complex interplay of underlying signaling pathways.MethodsWe quantified serum samples of the KORA F4 study participants (N = 2815) and analyzed 121 metabolites. Multiple regression models adjusted for clinical and lifestyle covariates were used to identify metabolites that were Bonferroni significantly associated with MetS. These findings were replicated in the SHIP-TREND-0 study (N = 988) and further analyzed for the association of replicated metabolites with the five components of MetS. Database-driven networks of the identified metabolites and their interacting enzymes were also constructed.ResultsWe identified and replicated 56 MetS-specific metabolites: 13 were positively associated (e.g., Val, Leu/Ile, Phe, and Tyr), and 43 were negatively associated (e.g., Gly, Ser, and 40 lipids). Moreover, the majority (89%) and minority (23%) of MetS-specific metabolites were associated with low HDL-C and hypertension, respectively. One lipid, lysoPC a C18:2, was negatively associated with MetS and all of its five components, indicating that individuals with MetS and each of the risk factors had lower concentrations of lysoPC a C18:2 compared to corresponding controls. Our metabolic networks elucidated these observations by revealing impaired catabolism of branched-chain and aromatic amino acids, as well as accelerated Gly catabolism.ConclusionOur identified candidate metabolite biomarkers are associated with the pathophysiology of MetS and its risk factors. They could facilitate the development of therapeutic strategies to prevent type 2 diabetes and cardiovascular disease. For instance, elevated levels of lysoPC a C18:2 may protect MetS and its five risk components. More in-depth studies are necessary to determine the mechanism of key metabolites in the MetS pathophysiology.

Liver Enzyme Correlated with C-Reactive Protein as a Biomarker of Metabolic Syndrome in Elderly Patients

Metabolic syndrome is a multifactorial disease with various risk factors that arise from insulin resistance associated with obesity, diabetes, hypertension, and dyslipidemias. Objective: To investigate the association between C-Reactive Protein and various risk factors related to CVS and metabolic health in elderly adults. Increased levels of various liver enzymes were found to be indicative of the progression of metabolic syndrome. Methods: In this study, total of 150 individuals with diagnosed metabolic syndrome were included, and they were compared to an equal number of control cases. The participants were selected from individuals visiting the Pathology and Molecular Biology Laboratories in Karachi for lab investigations. before collecting blood samples, basic vital signs, blood pressure, height, and waist circumference measurements were recorded to determine the participants' body mass index. The blood samples were then taken to assess liver enzyme levels and CRP. Results: The study examined and compared the levels of inflammatory marker and liver enzymes in both cases of metabolic syndrome (MetS) and the control group. The findings revealed a significant association (p-value of 0.001) between metabolic syndrome and elevated levels of liver enzymes and CRP. Specifically, the suspected cases of metabolic syndrome showed strong correlations with alanine aminotransferase, gamma-glutamyl transferase, and aspartate aminotransferase. However, alkaline phosphatase did not show substantial differences between the two groups. Conclusions: Our research revealed correlation between metabolic syndrome, liver enzymes and CRP. These findings indicate that high levels of liver enzymes and CRP can be indicative of cardiovascular functional abnormalities in elderly patients with metabolic syndrome.

Liver Fat Scores for Noninvasive Diagnosis and Monitoring of Nonalcoholic Fatty Liver Disease in Epidemiological and Clinical Studies.

Nonalcoholic fatty liver disease (NAFLD) is strongly associated with the metabolic syndrome and type 2 diabetes and independently contributes to long-term complications. Being often asymptomatic but reversible, it would require population-wide screening, but direct diagnostics are either too invasive (liver biopsy), costly (MRI) or depending on the examiner's expertise (ultrasonography). Hepatosteatosis is usually accommodated by features of the metabolic syndrome (e.g. obesity, disturbances in triglyceride and glucose metabolism), and signs of hepatocellular damage, all of which are reflected by biomarkers, which poorly predict NAFLD as single item, but provide a cheap diagnostic alternative when integrated into composite liver fat indices. Fatty liver index, NAFLD LFS, and hepatic steatosis index are common and accurate indices for NAFLD prediction, but show limited accuracy for liver fat quantification. Other indices are rarely used. Hepatic fibrosis scores are commonly used in clinical practice, but their mandatory reflection of fibrotic reorganization, hepatic injury or systemic sequelae reduces sensitivity for the diagnosis of simple steatosis. Diet-induced liver fat changes are poorly reflected by liver fat indices, depending on the intervention and its specific impact of weight loss on NAFLD. This limited validity in longitudinal settings stimulates research for new equations. Adipokines, hepatokines, markers of cellular integrity, genetic variants but also simple and inexpensive routine parameters might be potential components. Currently, liver fat indices lack precision for NAFLD prediction or monitoring in individual patients, but in large cohorts they may substitute nonexistent imaging data and serve as a compound biomarker of metabolic syndrome and its cardiometabolic sequelae.

Search for new biomarkers of adult growth hormone deficiency metabolic syndrome: a comprehensive overview of a four peptides analysis

Searchable abstracts of presentations at key conferences in endocrinology ISSN 1470-3947 (print) | ISSN 1479-6848 (online)

Growth differentiation factor-15/adiponectin ratio as a potential biomarker for metabolic syndrome in Han Chinese.

Growth differentiation factor-15 (GDF-15) and adiponectin are adipokines that regulate metabolism. This study aimed to evaluate the roles of GDF-15, adiponectin, and GDF-15/adiponectin ratio (G/A ratio) as biomarkers for detecting metabolic syndrome (MS). This cross-sectional study included 676 participants aged 20-70 years in Jurong, China. The participants were divided into four groups based on sex and age (<40 and ≥40 years). MS was defined according to the modified National Cholesterol Education Program Adult Treatment Panel III criteria. Receiver operating characteristic curves were used to evaluate the performance of GDF-15, adiponectin, and the G/A ratio in predicting MS. The prevalence of MS was 22.0% (149/676). Logistic regression analysis indicated that the G/A ratio and adiponectin levels, but not GDF-15 levels, were correlated with MS [odds ratio; 95% CI 1.010 (1.006-1.013) and 0.798 (0.735-0.865), respectively] after adjusting for confounding factors. The G/A ratio displayed a significant relationship with MS in each subgroup and with each MS component in both men and women; however, adiponectin concentrations were significantly associated with MS and all its components only in men (all P <0.05). The area under the curve (AUC) of the G/A ratio and the adiponectin level for MS was 0.758 and 0.748, respectively. The highest AUC was 0.757 for the adiponectin level in men and 0.724 for the G/A ratio in women. This study suggests that the G/A ratio and adiponectin are potential biomarkers for detecting MS in women and men, respectively.

Upregulation of REL and WSB1 in Patients With Psoriasis and Metabolic Syndrome

Objective: A strong association exists between metabolic syndrome and psoriasis. The current study was performed to explore the gene regulation of metabolic syndrome in patients with psoriasis. Methods: Patients were assessed for psoriasis and metabolic syndrome clinically (Psoriasis Area and Severity Index, height, weight, waist circumference, and blood pressure) and biochemically (lipid profile and fasting blood sugar concentration). Systemic gene regulation was first explored by microarray and analyzed using Transcriptome Analysis Console Software, after which two selected upregulated genes were further validated using polymerase chain reaction and enzyme-linked immunosorbent assay and analyzed using independent sample t test. Results: The analysis showed 7,269 upregulated and 3 downregulated genes at a fold change of 2 and P value of &lt; 0.05; only 17 genes were upregulated and none were downregulated at a fold change of 8 and P value of &lt; 0.005. Comparison with 22 previously reported potential biomarkers of metabolic syndrome in patients with psoriasis showed that the levels of 16 biomarkers aligned with the gene regulation observed in the current study. In particular, the REL transcript was upregulated 12-fold (P = 8.16 × 10−17), while the WSB1 transcript was upregulated 9-fold (P = 9.87 × 10−13). Validation showed that REL was also upregulated 2-fold in the polymerase chain reaction, and its protein was expressed at 7.140 ng/mL vs. undetectable levels in the cases (P = 0.048). However, WSB1 was upregulated 2-fold in the polymerase chain reaction compared with controls, and unexpectedly, its protein was undetectable in cases but detectable in controls (P = 0.018). Conclusion: The upregulation of REL and WSB1 was observed in patients with psoriasis and metabolic syndrome, the clinical application of REL and WSB1 as biomarkers needs further validation for potential future implications in clinical practice.

Metabolic syndrome biomarkers relate to rate of cognitive decline in MCI and dementia stages of Alzheimer’s disease

BackgroundThe relationship between biomarkers of metabolic syndrome and insulin resistance, plasma triglyceride/HDL cholesterol (TG/HDL-C) ratio, on the rate of cognitive decline in mild cognitive impairment (MCI) and dementia stages of Alzheimer’s disease (AD) is unknown. The role of peripheral and cerebrospinal fluid (CSF) levels of Apolipoprotein A1 (ApoA1), a key functional component of HDL, on cognitive decline also remains unclear among them. Here we evaluate baseline plasma TG/HDL-C ratio and CSF and plasma ApoA1 levels and their relation with cognitive decline in the MCI and Dementia stages of AD.Patients and methodsA retrospective longitudinal study (156 participants; 106 MCI, 50 AD dementia) from the Alzheimer’s Disease Neuroimaging Initiative, with an average of 4.0 (SD 2.8) years follow-up. Baseline plasma TG/HDL-C, plasma, and CSF ApoA1 and their relationship to inflammation and blood–brain barrier (BBB) biomarkers and longitudinal cognitive outcomes were evaluated. Multivariable linear mixed effect models were used to assess the effect of baseline analytes with longitudinal changes in Mini-Mental State Exam (MMSE), Clinical Dementia Rating–Sum of Boxes (CDR-SB), and Logical Memory delayed recall (LM) score after controlling for well-known covariates.ResultsA total of 156 participants included 98 women, 63%; mean age was 74.9 (SD 7.3) years. At baseline, MCI and dementia groups did not differ significantly in TG/HDL-C (Wilcoxon W statistic = 0.39, p = 0.39) and CSF ApoA1 levels (W = 3642, p = 0.29), but the dementia group had higher plasma ApoA1 than the MCI group (W = 4615, p = 0.01). Higher TG/HDL-C ratio was associated with faster decline in CDR-SB among MCI and dementia groups. Higher plasma ApoA1 was associated with faster decline in MMSE and LM among MCI, while in contrast higher CSF ApoA1 levels related to slower cognitive decline in MMSE among MCI. CSF and plasma ApoA1 also show opposite directional correlations with biomarkers of BBB integrity. CSF but not plasma levels of ApoA1 positively correlated to inflammation analytes in the AGE-RAGE signaling pathway in diabetic complications (KEGG ID:KO04933).ConclusionsBiomarkers of metabolic syndrome relate to rate of cognitive decline among MCI and dementia individuals. Elevated plasma TG/HDL-C ratio and plasma ApoA1 are associated with worse cognitive outcomes in MCI and dementia participants. CSF ApoA1 and plasma ApoA1 likely have different roles in AD progression in MCI stage.

Deleterious Impact of Non-Diabetic Cataract Surgery on the Values of Biomarkers of Oxidative Stress and Metabolic Syndrome in Kinshasa

Deleterious Impact of Non-Diabetic Cataract Surgery on the Values of Biomarkers of Oxidative Stress and Metabolic Syndrome in Kinshasa

Neutrophil-to-lymphocyte, platelet-to-lymphocyte and lymphocyte-to-monocyte ratios, any association with metabolic syndrome?

Metabolic syndrome is a critical health concern associated with an elevated risk of chronic health problems including cardiovascular disease and diabetes. There are shreds of evidence that novel inflammatory ratios including neutrophil-to-lymphocyte, platelet-to-lymphocyte and lymphocyte-to-monocyte ratios serve as prognostic biomarkers for metabolic syndrome (MetS). This hypothesis was investigated in a cohort of the Iranian population. selection of MetS + subjects was based on the National Cholesterol Education Program Adult Treatment Panel III criteria 3 (NCEP ATP 3). The control group consisted of participants negative for any of the five MetS criteria. Demographic and laboratory data were extracted from the Tabari cohort study. A total of 1930 subjects including 965 Mets positive and 965 MetS criteria negative participants were evaluated. Diabetes (84.8%), hypertension (48.9%), hypertriglyceridemia (81.7%), low HDL cholesterol (70.3%), and high waist circumference (78.9%) were observed in patients. There were no differences between NLR (1.66±0.71 vs. 1.69±0.72 P=0.42), LMR (11.23±3.13 vs. 11.30±11.99, P= 0.86) and PLR (113.85±68.67 vs 114.11±35.85, P=0.91) between case and control groups, respectively. Logistic regression analysis revealed no association between ratios and MetS risk even after adjusting for potential confounders including age, gender, living place, and BMI. In a relatively large population from Northern Iran, no association was observed between CBC-derived inflammatory ratios and the presence of MetS.