Clinical utility of plasma Aß42/40 ratio by LC-MS/MS in Alzheimer's disease assessment.

Introduction: Plasma Aß42/40 ratio can help predict amyloid PET status, but its clinical utility in Alzheimer's disease (AD) assessment is unclear. Methods: Aß42/40 ratio was measured by LC-MS/MS for 250 specimens with associated amyloid PET imaging, diagnosis, and demographic data, and for 6,192 consecutive clinical specimens submitted for Aß42/40 testing. Results: High diagnostic sensitivity and negative predictive value (NPV) for Aß-PET positivity were observed, consistent with the clinical performance of other plasma LC-MS/MS assays, but with greater separation between Aß42/40 values for individuals with positive vs. negative Aß-PET results. Assuming a moderate prevalence of Aß-PET positivity, a cutpoint was identified with 99% NPV, which could help predict that AD is likely not the cause of patients' cognitive impairment and help reduce PET evaluation by about 40%. Conclusion: High-throughput plasma Aß42/40 LC-MS/MS assays can help identify patients with low likelihood of AD pathology, which can reduce PET evaluations, allowing for cost savings.

Clinical utility of plasma Aß42/40 ratio by LC-MS/MS in Alzheimer's disease assessment.

INTRODUCTION: Plasma Aß42/40 ratio can be used to help predict amyloid PET status, but its clinical utility in Alzheimer's disease (AD) assessment is unclear. METHODS: Aß42/40 ratio was measured by LC-MS/MS in 250 specimens with associated amyloid PET imaging, diagnosis, and demographic data, and 6,192 consecutive clinical specimens submitted for Aß42/40 testing. RESULTS: High diagnostic sensitivity and negative predictive value (NPV) for Aß-PET positivity were observed, consistent with the clinical performance of other plasma LC-MS/MS assays, but with greater separation between Aß42/40 values for individuals with positive vs negative Aß-PET results. Assuming a moderate prevalence of Aß-PET positivity, a cutpoint was identified with 99% NPV, which could help predict that AD is likely not the cause of patients' cognitive impairment and help reduce PET evaluation by about 40%. DISCUSSION: Using high-throughput plasma Aß42/40 LC-MS/MS assays can help reduce PET evaluations in patients with low likelihood of AD pathology, allowing for cost savings.

Impact of a Digital Diabetes Prevention Program on Estimated 8-Year Risk of Diabetes in a Workforce Population.

OBJECTIVE: We asked whether the estimated 8-year risk of diabetes could be reduced within the first 2 years of a digital Diabetes Prevention Program (dDPP) in a workforce population. METHODS: Employees and spouses were eligible if they had prediabetes-range fasting glucose or hemoglobin A 1c and body mass index ≥25 kg/m 2 . Diabetes risk was assessed using the Framingham diabetes risk score in the year before and the 2 years after dDPP initiation. RESULTS: Among participants completing at least nine dDPP lessons ( n = 286), diabetes risk decreased 5.3% the year after dDPP initiation, after a 5.4% increase the year before initiation (difference in differences, -10.6%; 95% confidence interval, -13.4% to -7.9%; P < 0.001), with risk maintained at reduced levels after the second year of the program. CONCLUSION: This dDPP reduced the estimated 8-year risk of diabetes over the first 2 years of the program.

Prevalence and significance of serum 14-3-3η in juvenile idiopathic arthritis.

BACKGROUND: Prompt diagnosis of juvenile idiopathic arthritis (JIA) is important to avoid long term complications. Elevated serum 14-3-3η levels improve the diagnostic sensitivity of rheumatoid factor (RF) and cyclic citrullinated peptide (CCP) antibody in adult rheumatoid arthritis (RA), and have been associated with more severe phenotype. We investigated the prevalence and clinical significance of serum 14-3-3η in different types of JIA. METHODS: JIA patients (n = 151) followed by the Pediatric Rheumatology Core at Children's Hospital of Los Angeles were categorized into 5 groups: polyarticular JIA RF+ (PJIA RF+; n = 39), PJIA RF- (n = 39), psoriatic arthritis (PsA; n = 19), enthesitis-related arthritis (ERA; n = 18), and oligoarticular JIA (OJIA [control group]; n = 36). RF, CCP antibody, and 14-3-3η were measured for all patients. 14-3-3η serum levels > 0.2 ng/mL were considered positive. Disease activity was assessed by the Juvenile Arthritis Disease Activity Score-71 (JADAS-71). RESULTS: Elevated 14-3-3η levels were detected in 34/151 (23%) patients, and across all groups tested. Most patients with 14-3-3η had titers ≥4 times above the cutoff value. The majority (22, 65%) of 14-3-3η-positive patients were also positive for RF or CCP antibodies, 16 (47%) were positive for all 3, and 12 (35%) were single-positive for 14-3-3η. The highest prevalence of 14-3-3η was in PJIA RF+ patients (49%), followed by OJIA (22%). Positivity for 14-3-3η was not significantly associated with disease activity or age at diagnosis. CONCLUSION: Serum 14-3-3η can be detected in all forms of JIA tested but appears to be most common in PJIA RF+. 14-3-3η does not appear to correlate with disease activity in JIA.

Impact of a Digital Diabetes Prevention Program on Risk Factors for Chronic Disease in a Workforce Cohort.

OBJECTIVE: Evaluate the effect of a digital Diabetes Prevention Program (dDPP) on chronic disease risk factors in a workplace population. METHODS: dDPP participants were employees and spouses with BMI ≥ 24 kg/m and prediabetes or diabetes (n = 84). Annual change in risk factors before and after dDPP were assessed in the dDPP group and in a retrospectively identified matched control group drawn from those who participated in a dDPP after the conclusion of this study (n = 252). RESULTS: In the dDPP group, body weight, BMI, fasting glucose, triglycerides, total cholesterol and LDL-cholesterol decreased in the post-dDPP period compared with the pre-dDPP period (P < 0.05). In the control group, no difference between the annual change before and after dDPP was observed (P > 0.37). CONCLUSION: The dDPP was effective in reducing risk factors for chronic disease in a workplace setting.

High-Throughput Mass Spectrometry Assay for Quantifying ß-Amyloid 40 and 42 in Cerebrospinal Fluid.

BACKGROUND: The ratio of ß-amyloid 1-42 (Aß42) to Aß40 in cerebrospinal fluid (CSF) may be useful for evaluating Alzheimer disease (AD), but quantification is limited by factors including preanalytical analyte loss. We developed an LC-MS/MS assay that limits analyte loss. Here we describe the analytical characteristics of the assay and its performance in differentiating patients with AD from non-AD dementia and healthy controls. METHODS: To measure Aß42/Aß40, we used unique proteolytically derived C-terminal peptides as surrogate markers of Aß40 and Aß42, which were analyzed and quantified by LC-MS/MS. The assay was analytically validated and applied to specimens from individuals with clinically diagnosed AD (n = 102), mild cognitive impairment (n = 37), and non-AD dementias (n = 22), as well as from healthy controls (n = 130). Aß42/Aß40 values were compared with APOE genotype inferred from phenotype, also measured by LC-MS/MS. RESULTS: The assay had a reportable range of 100 to 25000 pg/mL, a limit of quantification of 100 pg/mL, recoveries between 93% and 111%, and intraassay and interassay CV <15% for both peptides. An Aß42/Aß40 ratio cutoff of <0.16 had a clinical sensitivity of 78% for distinguishing patients with AD from non-AD dementia (clinical specificity, 91%) and from healthy controls (clinical specificity, 81%). The Aß42/Aß40 ratio decreased significantly (P < 0.001) with increasing dose of APOE4 alleles. CONCLUSIONS: This assay can be used to determine Aß42/Aß40 ratios, which correlate with the presence of AD.

Clinical validation of a blood-based classifier for diagnostic evaluation of asymptomatic individuals with pulmonary nodules.

BACKGROUND: The number of pulmonary nodules detected in the US is expected to increase substantially following recent recommendations for nationwide CT-based lung cancer screening. Given the low specificity of CT screening, non-invasive adjuvant methods are needed to differentiate cancerous lesions from benign nodules to help avoid unnecessary invasive procedures in the asymptomatic population. We have constructed a serum-based multi-biomarker panel and assessed its clinical accuracy in a retrospective analysis of samples collected from participants with suspicious radiographic findings in the Prostate, Lung, Chest and Ovarian (PLCO) cancer screening trial. METHODS: Starting with a set of 9 candidate biomarkers, we identified 8 that exhibited limited pre-analytical variability with increasing clotting time, a key pre-analytical variable associated with the collection of serum. These 8 biomarkers were evaluated in a training study consisting of 95 stage I NSCLC patients and 186 smoker controls where a 5-biomarker pulmonary nodule classifier (PNC) was selected. The clinical accuracy of the PNC was determined in a blinded study of asymptomatic individuals comprising 119 confirmed malignant nodule cases and 119 benign nodule controls selected from the PLCO screening trial. RESULTS: A PNC comprising 5 biomarkers: CEA, CYFRA 21-1, OPN, SCC, and TFPI, was selected in the training study. In an independent validation study, the PNC resolved lung cancer cases from benign nodule controls with an AUC of 0.653 (p < 0.0001). CEA and CYFRA 21-1, two of the markers included in the PNC, also accurately distinguished malignant lesions from benign controls. CONCLUSIONS: A 5-biomarker blood test has been developed for the diagnostic evaluation of asymptomatic individuals with solitary pulmonary nodules.

Blood-based lung cancer biomarkers identified through proteomic discovery in cancer tissues, cell lines and conditioned medium.

BACKGROUND: Support for early detection of lung cancer has emerged from the National Lung Screening Trial (NLST), in which low-dose computed tomography (LDCT) screening reduced lung cancer mortality by 20 % relative to chest x-ray. The US Preventive Services Task Force (USPSTF) recently recommended annual screening for the high-risk population, concluding that the benefits (life years gained) outweighed harms (false positive findings, abortive biopsy/surgery, radiation exposure). In making their recommendation, the USPSTF noted that the moderate net benefit of screening was dependent on the resolution of most false-positive results without invasive procedures. Circulating biomarkers may serve as a valuable adjunctive tool to imaging. RESULTS: We developed a broad-based proteomics discovery program, integrating liquid chromatography/mass spectrometry (LC/MS) analyses of freshly resected lung tumor specimens (n = 13), lung cancer cell lines (n = 17), and conditioned media collected from tumor cell lines (n = 7). To enrich for biomarkers likely to be found at elevated levels in the peripheral circulation of lung cancer patients, proteins were prioritized based on predicted subcellular localization (secreted, cell-membrane associated) and differential expression in disease samples. 179 candidate biomarkers were identified. Several markers selected for further validation showed elevated levels in serum collected from subjects with stage I NSCLC (n = 94), relative to healthy smoker controls (n = 189). An 8-marker model was developed (TFPI, MDK, OPN, MMP2, TIMP1, CEA, CYFRA 21-1, SCC) which accurately distinguished subjects with lung cancer (n = 50) from high risk smokers (n = 50) in an independent validation study (AUC = 0.775). CONCLUSIONS: Integrating biomarker discovery from multiple sample types (fresh tissue, cell lines and conditioned medium) has resulted in a diverse repertoire of candidate biomarkers. This unique collection of biomarkers may have clinical utility in lung cancer detection and diagnoses.

Predicting cirrhosis and clinical outcomes in patients with advanced chronic hepatitis C with a panel of genetic markers (CRS7).

OBJECTIVES: Genetic factors may play a role in fibrosis progression in patients with chronic hepatitis C (CHC). A cirrhosis risk score (CRS7) with seven single nucleotide polymorphisms was previously shown to correlate with cirrhosis in patients with CHC. This study aimed to assess the validity of CRS7 as a marker of fibrosis progression and cirrhosis and as a predictor of clinical outcomes in patients with CHC. METHODS: A total of 938 patients (677 Caucasians, 165 African-Americans, and 96 Hispanic/Other) in the Hepatitis C Antiviral Long-term Treatment against Cirrhosis Trial were studied. CRS7 was categorized a priori as high risk (n=440), medium risk (n=310), or low risk (n=188). Patients were assessed for four possible outcomes: fibrosis progression, cirrhosis, clinical outcomes [decompensation or hepatocellular carcinoma (HCC)], or HCC alone. RESULTS: Twenty-nine percent (142/493) developed an increase in fibrosis score by greater than or equal to 2 points on follow-up biopsies, 58% had cirrhosis on one or more biopsies, 35% developed at least one clinical outcome, and 13% developed HCC. CRS7 (trend test) was associated with risk for fibrosis progression (P=0.04) with adjusted hazard ratio of 1.27 (95% confidence interval: 1.01-1.58) and with cirrhosis (P=0.05) with adjusted odds ratio of 1.19 (1.00-1.41). Rates of HCC and clinical outcomes were increased in patients with higher CRS7 scores, but were not statistically significant (P=0.12 clinical outcomes, and P=0.07 HCC). A single nucleotide polymorphism in AZIN1 was significantly associated with fibrosis progression. CONCLUSION: CRS7 was validated as a predictor of fibrosis progression and cirrhosis among Hepatitis C Antiviral Long-term Treatment against Cirrhosis patients, who all had advanced fibrosis. CRS7 was not predictive of clinical outcome.

Neither replication nor simulation supports a role for the axon guidance pathway in the genetics of Parkinson's disease.

Susceptibility to sporadic Parkinson's disease (PD) is thought to be influenced by both genetic and environmental factors and their interaction with each other. Statistical models including multiple variants in axon guidance pathway genes have recently been purported to be capable of predicting PD risk, survival free of the disease and age at disease onset; however the specific models have not undergone independent validation. Here we tested the best proposed risk panel of 23 single nucleotide polymorphisms (SNPs) in two PD sample sets, with a total of 525 cases and 518 controls. By single marker analysis, only one marker was significantly associated with PD risk in one of our sample sets (rs6692804: P = 0.03). Multi-marker analysis using the reported model found a mild association in one sample set (two sided P = 0.049, odds ratio for each score change = 1.07) but no significance in the other (two sided P = 0.98, odds ratio = 1), a stark contrast to the reported strong association with PD risk (P = 4.64x10(-38), odds ratio as high as 90.8). Following a procedure similar to that used to build the reported model, simulated multi-marker models containing SNPs from randomly chosen genes in a genome wide PD dataset produced P-values that were highly significant and indistinguishable from similar models where disease status was permuted (3.13x10(-23) to 4.90x10(-64)), demonstrating the potential for overfitting in the model building process. Together, these results challenge the robustness of the reported panel of genetic markers to predict PD risk in particular and a role of the axon guidance pathway in PD genetics in general.