Individual therapeutic DAS28-dcrit responses differentiate between effectiveness of rheumatoid arthritis therapies and reflect patient-reported outcomes: retrospective analysis of DAS28 responses in comparative tocilizumab studies.

Assessment of individual therapeutic responses provides valuable information concerning treatment benefits in individual patients. We evaluated individual therapeutic responses as determined by the Disease Activity Score-28 joints critical difference for improvement (DAS28-dcrit) in rheumatoid arthritis (RA) patients treated with intravenous tocilizumab or comparator anti-tumor necrosis factor (TNF) agents. The previously published DAS28-dcrit value [DAS28 decrease (improvement) ≥ 1.8] was retrospectively applied to data from two studies of tocilizumab in RA, the 52-week ACT-iON observational study and the 24-week ADACTA randomized study. Data were compared within (not between) studies. DAS28 was calculated with erythrocyte sedimentation rate as the inflammatory marker. Stability of DAS28-dcrit responses and European League Against Rheumatism (EULAR) good responses was determined by evaluating repeated responses at subsequent timepoints. A logistic regression model was used to calculate p values for differences in response rates between active agents. Patient-reported outcomes (PROs; pain, global health, function, and fatigue) in DAS28-dcrit responder versus non-responder groups were compared with an ANCOVA model. DAS28-dcrit individual response rates were 78.2% in tocilizumab-treated patients and 58.2% in anti-TNF-treated patients at week 52 in the ACT-ion study (p = 0.0001) and 90.1% versus 59.1% at week 24 in the ADACTA study (p < 0.0001). DAS28-dcrit responses showed greater stability over time (up to 52 weeks) than EULAR good responses. For both active treatments, DAS28-dcrit responses were associated with statistically significant improvements in mean PRO values compared with non-responders. The DAS28-dcrit response criterion provides robust assessments of individual responses to RA therapy and may be useful for discriminating between active agents in clinical studies and guiding treat-to-target decisions in daily practice.

Comparison of Non-contact Infrared Temperature with Digital Axillary Temperature.

We measured the Non-contact infrared temperature (NCIT) from the forehead, chest and abdomen, and compared it with Digital axillary temperature (DAT) by Bland Altman Plot. The DAT agreed better with NCIT chest (mean difference 0.13, 95% limit of agreement 0.08, 0.18) as compared to NCIT forehead and abdomen.

Storage Conditions of Conjugated Reagents Can Impact Results of Immunogenicity Assays.

Consistent performance of anti-drug antibody (ADA) assays through all stages of clinical development is critical for the assessment of immunogenicity and interpretation of PK, PD, safety, and efficacy. The electrochemiluminescent assays commonly employed for ADA measurement use drug conjugated with ruthenium and biotin to bind ADA in samples. Here we report an association between high nonspecific ADA responses in certain drug-naïve individuals and the storage buffer of the conjugated reagents used in a monoclonal antibody ADA assay. Ruthenylated reagents stored in phosphate-buffered saline (PBS) buffer had increased levels of aggregate and produced variable and high baseline responses in some subjects. Reagents stored in a histidine-sucrose buffer (HSB) had lower aggregate levels and produced low sample responses. In contrast to PBS, conjugated reagents formulated in HSB remained low in aggregate content and in sample response variability after 5 freeze/thaw cycles. A reagent monitoring control (RMC) serum was prepared for the real-time evaluation of conjugated reagent quality. Using appropriate buffers for storage of conjugated reagents together with RMCs capable of monitoring of reagent aggregation status can help ensure consistent, long-term performance of ADA methods.

Elevated ghrelin predicts food intake during experimental sleep restriction.

OBJECTIVE: Sleep curtailment has been linked to obesity, but underlying mechanisms remain to be elucidated. This study assessed whether sleep restriction alters 24-h profiles of appetite-regulating hormones ghrelin, leptin, and pancreatic polypeptide during a standardized diet and whether these hormonal alterations predict food intake during ad libitum feeding. METHODS: Nineteen healthy, lean men were studied under normal sleep and sleep restriction in a randomized crossover design. Blood samples were collected for 24 h during standardized meals. Subsequently, participants had an ad libitum feeding opportunity (buffet meals and snacks) and caloric intake was measured. RESULTS: Ghrelin levels were increased after sleep restriction as compared with normal sleep (P < 0.01). Overall, sleep restriction did not alter leptin or pancreatic polypeptide profiles. Sleep restriction was associated with an increase in total calories from snacks by 328 ± 140 kcal (P = 0.03), primarily from carbohydrates (P = 0.02). The increase in evening ghrelin during sleep restriction was correlated with higher consumption of calories from sweets (r = 0.48, P = 0.04). CONCLUSIONS: Sleep restriction as compared with normal sleep significantly increases ghrelin levels. The increase in ghrelin is associated with higher consumption of calories. Elevated ghrelin may be a mechanism by which sleep loss leads to increased food intake and the development of obesity.

Sleep restriction increases free fatty acids in healthy men.

AIMS/HYPOTHESIS: Sleep loss is associated with insulin resistance and an increased risk for type 2 diabetes, yet underlying mechanisms are not understood. Elevation of circulating non-esterified (i.e. free) fatty acid (NEFA) concentrations can lead to insulin resistance and plays a central role in the development of metabolic diseases. Circulating NEFA in healthy individuals shows a marked diurnal variation with maximum levels occurring at night, yet the impact of sleep loss on NEFA levels across the 24 h cycle remains unknown. We hypothesised that sleep restriction would alter hormones that are known to stimulate lipolysis and lead to an increase in NEFA levels. METHODS: We studied 19 healthy young men under controlled laboratory conditions with four consecutive nights of 8.5 h in bed (normal sleep) and 4.5 h in bed (sleep restriction) in randomised order. The 24 h blood profiles of NEFA, growth hormone (GH), noradrenaline (norepinephrine), cortisol, glucose and insulin were simultaneously assessed. Insulin sensitivity was estimated by a frequently sampled intravenous glucose tolerance test. RESULTS: Sleep restriction relative to normal sleep resulted in increased NEFA levels during the nocturnal and early-morning hours. The elevation in NEFA was related to prolonged nocturnal GH secretion and higher early-morning noradrenaline levels. Insulin sensitivity was decreased after sleep restriction and the reduction in insulin sensitivity was correlated with the increase in nocturnal NEFA levels. CONCLUSIONS/INTERPRETATION: Sleep restriction in healthy men results in increased nocturnal and early-morning NEFA levels, which may partly contribute to insulin resistance and the elevated diabetes risk associated with sleep loss.

Correlation of screening and confirmatory results in tiered immunogenicity testing by solution-phase bridging assays.

Biotherapeutic proteins induce undesired immune responses that can affect drug efficacy and safety. For this reason, immunogenicity assessment is an integral part of drug development and is mandated by the regulatory authorities. Immunogenicity is typically evaluated by a tiered approach consisting of a screening assay followed by a competitive inhibition with unlabeled drug serving as confirmatory assay and additional characterization of the immune response. The confirmatory assay is intended to reduce the number of false positive responses generated in the screening tier and ensure that all samples are correctly classified as positive or negative. The positive-negative sample decisions are based on screening and confirmatory assay cut points that are statistically derived through evaluation of drug-naive samples. In this paper, we describe the analysis of cut point data for the presence of statistical correlation between the screening and confirmatory results. Data were obtained from validations of solution-phase bridging assays for detection of anti-drug antibodies against monoclonal antibody therapeutics. All data sets showed moderate to strong positive correlation, indicating that the screening and confirmatory assays were not independent and were likely to generate similar information. We present theoretical evidence that correlated results may be a general feature of the tiered approach when the same test platform is used for both screening and confirmatory assays. The competitive inhibition test, therefore, may be of limited value beyond reduction of the overall false positive rate. Our results indicate that similar sample results could be obtained by using just the screening assay with the false positive rate set to 1%.

Obstructive sleep apnea in young lean men: impact on insulin sensitivity and secretion.

OBJECTIVE: To assess whether the presence of obstructive sleep apnea (OSA) affects glucose metabolism in young, lean individuals who are healthy and free of cardiometabolic disease. RESEARCH DESIGN AND METHODS: In a prospective design, 52 healthy men (age 18-30 years; BMI 18-25 kg/m(2)) underwent laboratory polysomnogram followed by a morning oral glucose tolerance test (OGTT). We stratified all subjects according to the presence or absence of ethnicity-based diabetes risk and family history of diabetes. We then used a frequency-matching approach and randomly selected individuals without OSA, yielding a total of 20 control men without OSA and 12 men with OSA. Indices of glucose tolerance, insulin sensitivity, and insulin secretion (early phase and total) were compared between men with OSA and control subjects. The incremental areas under the glucose (incAUC(glu)) and insulin (incAUC(ins)) curves were calculated using the trapezoidal method from 0 to 120 min during the OGTT. RESULTS: Men with OSA and control subjects were similar in terms of age, BMI, ethnicity-based diabetes risk, family history of diabetes, and level of exercise. Both groups had normal systolic and diastolic blood pressure and fasting lipid levels. After ingestion of a glucose load, men with OSA had 27% lower insulin sensitivity (estimated by Matsuda index) and 37% higher total insulin secretion (incAUC(ins)) than the control subjects, despite comparable glucose levels (incAUC(glu)). CONCLUSIONS: In young, lean, and healthy men who are free of cardiometabolic disease, the presence of OSA is associated with insulin resistance and a compensatory rise in insulin secretion to maintain normal glucose tolerance. Thus, OSA may increase the risk of type 2 diabetes independently of traditional cardiometabolic risk factors.