A Novel Autophagy-Related Marker for Improved Differential Diagnosis of Rheumatoid Arthritis and Osteoarthritis

Rheumatoid arthritis (RA) and osteoarthritis (OA) are two most common rheumatic diseases in the world. Although there are standard methods for the diagnosis of both RA and OA, the differentials in some cases are poor. With deepening research, the role of autophagy in maintaining cell homeostasis and thus enabling cells adapt to external environments has become increasingly prominent. Both RA and OA, two diseases with inherent differences in pathogenesis, gradually show differences in autophagy levels. Our study therefore aims to further understand differences in pathogenesis of RA and OA through in-depth studies of autophagy in RA and OA. We also define appropriate autophagy-related markers as recognition indicators. Differences in autophagy levels between RA and OA were found based on analysis of the Kyoto Encyclopedia of Genes and Genomes (KEGG) and single-sample gene set enrichment (ssGSEA). These differences were mainly caused by 134 differentially expressed genes (DEGs). In two autophagy-related genes, CXCR4 and SERPINA1, there existed significant statistical difference between RA and OA. An autophagy related index (ARI) was thus successfully constructed based on CXCR4 and SERPINA by binary logistic regression of the generalized linear regression (GLR) algorithm. Pearson analysis indicated that the expression of CXCR4, SERPINA1, and ARI were closely correlated with autophagy scores and immune infiltration. Moreover, ARI showed high disease identification through receiver operating characteristic (ROC) analysis (AUCtesting cohort = 0.956, AUCtraining cohort = 0.867). These results were then verified in GSE12021 independent cohort. In conclusion, ARI associated with autophagy and immune infiltration was successfully constructed for accurately identifying OA and RA. The index, thus, has great potential in clinical applications.

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Expression Analysis of Circulating miR-22, miR-122, miR-217 and miR-367 as Promising Biomarkers of Acute Lymphoblastic Leukemia

10.21203/rs.3.rs-1097151/v1 ◽

2021 ◽

Author(s):

Fatemeh hosseinpour-soleimani ◽

Gholamreza Khamisipour ◽

Zahra Derakhshan ◽

Bahram Ahmadi

Keyword(s):

Acute Lymphoblastic Leukemia ◽

Roc Analysis ◽

Operating Characteristic ◽

Lymphoblastic Leukemia ◽

Area Under The Curve ◽

Diagnostic Value ◽

Healthy Individuals ◽

Quantitative Real Time Pcr ◽

Expression Levels

Abstract Background Currently, the role of serum-based biomarkers such as microRNAs in cancer diagnosis has been extensively established. This study aimed to determine expression levels of bioinformatically selected miRNAs and whether they can be used as biomarkers or a new therapeutic target in patients with Acute Lymphoblastic Leukemia (ALL). Materials and Methods The expression levels of serum miR-22, miR-122, miR-217, and miR-367 in 21 ALL patients and 21 healthy controls were measured using quantitative real-time PCR. The receiver operating characteristic (ROC) curve and the associated area under the curve (AUC) was used to assess candidate miRNAs' diagnostic value as a biomarker. Results The results showed that miR-217 was markedly decreased in patients with ALL compared to controls. Moreover, miR-22, miR-122, and miR-367 were found to be upregulated. Furthermore, ROC analysis showed that serum miR-217 and miR-367 could differentiate ALL patients from the healthy individuals, while miR-22 has approximate discriminatory power that requires further investigation. Conclusion Collectively, the results suggested that miR-217 may play a tumor suppressor role in ALL, whereas miR-22, miR-122, and miR-367 could function as an oncogene. Overall, miR-22, miR-217, and miR-367 could be considered possible biomarkers for the early diagnosis of ALL.

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Chromogranin A as a marker of neuroendocrine neoplasia: an Italian Multicenter Study

Endocrine Related Cancer ◽

10.1677/erc-07-0001 ◽

2007 ◽

Vol 14 (2) ◽

pp. 473-482 ◽

Cited By ~ 85

Author(s):

Maria Chiara Zatelli ◽

Mirella Torta ◽

Antonette Leon ◽

Maria Rosaria Ambrosio ◽

Massimo Gion ◽

...

Keyword(s):

Chromogranin A ◽

Roc Analysis ◽

Operating Characteristic ◽

Biochemical Marker ◽

Predictive Values ◽

Multicenter Observational Study ◽

Diagnostic Usefulness ◽

Low Sensitivity ◽

Active Disease

Elevated circulating chromogranin A (CgA) levels are found in neuroendocrine tumors (NETs), but the diagnostic usefulness of this marker is still debatable. To assess the role of CgA for the diagnosis of gastroenteropancreatic (GEP) NETs and the identification of metastatic patients, an Italian multicenter observational study has been performed. CgA was evaluated in 202 GEP NET patients by IRMA and ELISA. The cutoffs for diagnosis and presence of metastases were identified by receiver-operating characteristic (ROC) curve. We found good correlation between IRMA and ELISA. The ROC analysis identified a cutoff of 53 ng/ml for IRMA and 16 U/l for ELISA as discriminating between controls and patients with active disease (sensitivity 71.3 and 84%; specificity 71 and 85% respectively). Metastases were present in 123 patients, having significantly higher CgA levels than patients without metastases. ROC analysis identified a cutoff of 146 ng/ml for IRMA and 67.3 U/l for ELISA as discriminating between patients with and without metastases (sensitivity 57 and 63.3%; specificity 55.6 and 71.4% respectively). For pancreatic NETs positive and negative predictive values were 84 and 78% respectively (90% specificity and 68% sensitivity). We found lower CgA levels in patients with extensive metastatic spread than in those with liver metastases only. These data assess the role of CgA evaluation in GEP NETs, and demonstrate that higher CgA levels associate with metastatic disease, confirming that CgA levels can provide a helpful practical biochemical marker for the clinical management of NETs, but with low sensitivity and specificity.

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IGF1 for the diagnosis of growth hormone deficiency in children and adolescents: a reappraisal

Endocrine Connections ◽

10.1530/ec-20-0347 ◽

2020 ◽

Vol 9 (11) ◽

pp. 1095-1102

Author(s):

Anastasia Ibba ◽

Francesca Corrias ◽

Chiara Guzzetti ◽

Letizia Casula ◽

Mariacarolina Salerno ◽

...

Keyword(s):

Growth Hormone ◽

Children And Adolescents ◽

Growth Hormone Deficiency ◽

Biochemical Parameters ◽

Roc Analysis ◽

Operating Characteristic ◽

Area Under The Curve ◽

Hormone Deficiency ◽

Short Children

A number of studies have evaluated the role of IGF1 measurement in the diagnosis of growth hormone deficiency (GHD). This study aimed to evaluate the accuracy and the best cut-off of IGF1 SDS in the diagnosis of GHD in a large cohort of short children and adolescents. One-hundred and forty-two children and adolescents with GHD ((63 organic/genetic (OGHD), 79 idiopathic (IGHD)) and 658 short non-GHD children (median age 10.4 years) were included in the analysis. The two groups were subdivided according to age (G1 <6, G2 6 <9, G3 9 <12, G4 ≥12) and to pubertal status. Serum IGFI was measured by the same chemiluminescence assay in all samples and expressed as age- and sex-based SDS. Receiver operating characteristic (ROC) analysis was used to evaluate the optimal IGF1 SDS cut-off and the diagnostic accuracy. Median IGF1 SDS was significantly lower in the GHD than in non-GHD patients. The area under the curve (AUC) was 0.69, with the best IGF1 cut-off of −1.5 SDS (sensitivity 67.61%, specificity 62.62%). The AUC was 0.75 for OGHD and 0.63 for IGHD. The accuracy was better in the pubertal (AUC = 0.81) than the prepubertal group (AUC = 0.64). In our cohort, IGF1 measurement has poor accuracy in discriminating GHD from non-GHD. Our findings confirm and reinforce the belief that IGF1 values should not be used alone in the diagnosis of GHD but should be interpreted in combination with other clinical and biochemical parameters.

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Predictors of functional disability in early Rheumatoid Arthritis: The role of pain-coping and social support

PsycEXTRA Dataset ◽

10.1037/e536922011-019 ◽

1998 ◽

Author(s):

A. W. M. Evers ◽

F. W. Kraaimaat ◽

R. Geenen ◽

J. W. J. Bijlsma

Keyword(s):

Rheumatoid Arthritis ◽

Social Support ◽

Early Rheumatoid Arthritis ◽

Functional Disability ◽

Pain Coping

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To be or not to be optimistic when one is chronically ill: The role of optimism in relation to adaptation to type 1 diabetes mellitus, rheumatoid arthritis and multiple sclerosis

PsycEXTRA Dataset ◽

10.1037/e537142011-002 ◽

2000 ◽

Author(s):

Marijda Fournier

Keyword(s):

Rheumatoid Arthritis ◽

Diabetes Mellitus ◽

Multiple Sclerosis ◽

Type 1 Diabetes ◽

Type 1 Diabetes Mellitus ◽

Chronically Ill

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Four utilities in eyewitness identification practice: Dissociations between receiver operating characteristic (ROC) analysis and expected utility analysis.

Law and Human Behavior ◽

10.1037/lhb0000309 ◽

2019 ◽

Vol 43 (1) ◽

pp. 26-44 ◽

Cited By ~ 3

Author(s):

James Michael Lampinen ◽

Andrew M. Smith ◽

Gary L. Wells

Keyword(s):

Receiver Operating Characteristic ◽

Expected Utility ◽

Roc Analysis ◽

Operating Characteristic ◽

Eyewitness Identification ◽

Utility Analysis ◽

Receiver Operating

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Credit constraints and Rural Migration: Evidence from Six Villages in Uttar Pradesh

MIGRATION LETTERS ◽

10.33182/ml.v15i3.360 ◽

2018 ◽

Vol 15 (3) ◽

pp. 389-398

Author(s):

Ruchi Singh

Keyword(s):

Credit Constraints ◽

Uttar Pradesh ◽

Binary Logistic Regression ◽

Binary Logistic Regression Model ◽

Male Migration ◽

Rural Economies ◽

And Migration ◽

The Relationship ◽

The Empirical Analysis

Rural economies in developing countries are often characterized by credit constraints. Although few attempts have been made to understand the trends and patterns of male out-migration from Uttar Pradesh (UP), there is dearth of literature on the linkage between credit accessibility and male migration in rural Uttar Pradesh. The present study tries to fill this gap. The objective of this study is to assess the role of credit accessibility in determining rural male migration. A primary survey of 370 households was conducted in six villages of Jaunpur district in Uttar Pradesh. Simple statistical tools and a binary logistic regression model were used for analyzing the data. The result of the empirical analysis shows that various sources of credit and accessibility to them play a very important role in male migration in rural Uttar Pradesh. The study also found that the relationship between credit constraints and migration varies across various social groups in UP.

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