Urinary neopterin levels in patients with thyroid cancer

Neopterin in the Evolution from Obesity to Prediabetes and Newly Diagnosed Type 2 Diabetes

Background: Neopterin, marker of cellular immunity and oxidative stress, is mainly produced by activated macrophages. It could play a crucial role in the development of insulin resistance (IR) and type 2 diabetes (T2D). The aim of this study was to investigate the circulating levels of neopterin in different stages of glucose dysregulation from obesity through prediabetes to newly diagnosed diabetes. Methods: Neopterin levels were determined using a commercially available human enzyme-linked immunosorbent assay kit. The homeostasis model assessment of IR was used as an index to assess IR. Results: The sample consisted of 163 subjects with mean age 52.5 ± 11.3 years, divided in three age- and body mass index (BMI)-matched groups-obesity, prediabetes, and diabetes. The control group consisted of 42 healthy individuals. Neopterin levels were significantly higher in patients with obesity and/or prediabetes and newly diagnosed diabetes than those in the control group, respectively (4.14 ± 2.51; 4.04 ± 2.80 and 2.17 ± 1.93 vs. 0.87 ± 0.84; P < 0.05). Correlation analysis showed that the level of neopterin positively correlated with BMI, waist, waist-to-stature ratio, waist-to-hip ratio, fasting glucose, and triglycerides. Receiver operating characteristic analysis established neopterin suitable for distinguishing subjects with obesity [area under the curve (AUC) = 0.83; P < 0.001] and carbohydrate disturbances (AUC = 0.59; P < 0.05) from those without these conditions. Neopterin ≥0.47 ng/mL have an odds ratio (OR) of 2.71 for development of dysglycemia, whereas threshold value of neopterin ≥0.56 ng/mL shows an OR of 5.94 for development of obesity. Conclusion: The levels of neopterin were increased in patients with obesity and carbohydrate disturbances. Further studies will elucidate the role of the biomarker in development of T2D and its complications.

High-Throughput Urinary Neopterin-to-Creatinine Ratio Monitoring of Systemic Inflammation

BACKGROUND

Systemic inflammation is a marker of ill health and has prognostic implications in multiple health settings. Urinary neopterin is an excellent candidate as a nonspecific marker of systemic inflammation. Expression as urinary neopterin-to-creatinine ratio (UNCR) normalizes for urinary hydration status. Major attractions include (a) urine vs blood sampling, (b) integration of inflammation over a longer period compared with serum sampling, and (c) high stability of neopterin and creatinine.

METHODS

A high-throughput ultraperformance LC-MS method was developed to measure neopterin and creatinine together from the same urine sample. The assay was applied in several clinical scenarios: healthy controls, symptomatic infections, and multiple sclerosis. Area under the curve was compared between weekly and monthly sampling scenarios. Analysis of a single pooled sample was compared with averaging results from analysis of individual samples.

RESULTS

The assay has excellent intraassay and interassay precision, linearity of dilution, and spike and recovery. Higher UNCR was demonstrated in female vs male individuals, older age, inflammatory disease (multiple sclerosis), and symptomatic infections. In healthy controls, fluctuations in inflammatory state also occurred in the absence of symptomatic infection or other inflammatory triggers. Analysis of a single pooled sample, made up from weekly urine samples, integrates inflammatory activity over time.

CONCLUSIONS

UNCR is a useful biomarker of systemic inflammation. The method presented offers simplicity, speed, robustness, reproducibility, efficiency, and proven utility in clinical scenarios. UNCR fluctuations underline the importance of longitudinal monitoring, vs a single time point, to capture a more representative estimate of an individual's inflammatory state over time.

The role of urinary pteridines as disease biomarkers

Pteridines and their derivatives function as intermediates in the metabolism of several vitamins and cofactors, and their relevance to disease has inspired new efforts to study their roles as disease biomarkers. Recent analytical advances, such as the emergence of sensitive mass spectrometry techniques, new workflows for measuring pteridine derivatives in their native oxidation states and increased multiplexing capacities for the simultaneous determination of many pteridine derivatives, have enabled researchers to explore the roles of urinary pteridines as disease biomarkers at much lower levels with greater accuracy than with previous technologies or methods. As a result, urinary pteridines are being increasingly studied as putative cancer biomarkers with promising results being reported from exploratory studies. In addition, the role of urinary neopterin as a universal biomarker for immune system activation is being investigated in new diseases where it is anticipated to become a useful supplementary marker in clinical diagnostic settings. In summary, this review provides an overview of recent developments in the clinical study of urinary pteridines as disease biomarkers, covers the most promising aspects of advanced analytical techniques being developed for the determination of urinary pteridines and discusses the major challenges associated with implementing pteridine biomarkers in clinical laboratory settings.

Evaluation of proinflammatory cytokine and neopterin levels in women with papillary thyroid carcinoma

INTRODUCTION

Papillary thyroid cancer is a disease that has been associated with chronic inflammation. The purpose of this study is to measure the production of the proinflammatory cytokines IL-1β, IL-6 and IL-8 and neopterin, which is a novel biomarker for cellular immune response in papillary thyroid cancer.

MATERIALS AND METHODS

The serum IL-1β, IL-6, IL-8 and neopterin values of 31 papillary thyroid cancer patients undergoing bilateral total thyroidectomy were measured before and 20 days after surgery. The values were compared with those of 39 healthy controls.

RESULTS

Serum IL-1β levels were similar across groups. IL-6 (p&lt;0.001), IL-8 (p = 0.015) and neopterin levels (p = 0.002) were higher in presurgical samples and returned to normal following surgery.

CONCLUSIONS

The proinflammatory cytokines IL-6 and IL-8, but not IL-1β, were produced in greater amounts in papillary thyroid cancer. Serum neopterin seems to be a valid biological marker supporting the presence of papillary thyroid cancer.