scholarly journals Circulating miRNAs as Novel Non-Invasive Biomarkers to Aid the Early Diagnosis of Suspicious Breast Lesions for Which Biopsy Is Recommended

Cancers ◽  
2021 ◽  
Vol 13 (16) ◽  
pp. 4028
Author(s):  
Marta Giussani ◽  
Chiara Maura Ciniselli ◽  
Loris De Cecco ◽  
Mara Lecchi ◽  
Matteo Dugo ◽  
...  
Keyword(s):  
Univariate Analysis ◽  
Disease Status ◽  
Breast Disease ◽  
Population Based ◽  
Breast Lesions ◽  
Circulating Mirnas ◽  
Logistic Regression Models ◽  
Non Invasive ◽  
Tissue Biopsy ◽  
Healthy Donors

In population-based screens, tissue biopsy remains the standard practice for women with imaging that suggests breast cancer. We examined circulating microRNAs as minimally invasive diagnostic biomarkers to discriminate malignant from benign breast lesions. miRNAs were analyzed by OpenArray in a retrospective cohort of plasma samples including 100 patients with malignant (T), 89 benign disease (B), and 99 healthy donors (HD) divided into training and testing sets and a prospective cohort (BABE) of 289 women with suspicious imaging findings who underwent tissue biopsy. miRNAs associated with disease status were identified by univariate analysis and then combined into signatures by multivariate logistic regression models. By combining 16 miRNAs differentially expressed in the T vs. HD comparison, 26 signatures were also able to significantly discriminate T from B disease. Seven of them, involving 5 specific miRNAs (miR-625, miR-423-5p, miR-370-3p, miR-181c, and miR-301b), were statistically validated in the testing set. Among the 7 signatures, the discriminatory performances of 5 were confirmed in the prospective BABE Cohort. This study identified 5 circulating miRNAs that, properly combined, distinguish malignant from benign breast disease in women with a high likelihood of malignancy.

scholarly journals 169 Examining the Associations Between Frailty, Obesity and Allostatic Load in The Irish Longitudinal Study on Ageing (TILDA)

2019 ◽  
Vol 48 (Supplement_3) ◽  
pp. iii17-iii65
Author(s):  
Kevin McCarthy ◽  
Triona McNicholas ◽  
Eamon Laird ◽  
Mark Ward ◽  
Roman Romero-Ortuño ◽  
...  
Keyword(s):  
Chronic Disease ◽  
Allostatic Load ◽  
Disease Status ◽  
Educational Status ◽  
Population Based ◽  
Outcome Variable ◽  
Obese People ◽  
Frailty Phenotype ◽  
Cross Sectional ◽  
Logistic Regression Models

Abstract Background Fried’s frailty phenotype is defined by five criteria: exhaustion, unexplained weight loss, weakness, slowness and low physical activity. Frailty can also affect obese people. Little is known about how body mass index [BMI] or waist-hip ratio [WHR] are associated with frailty or pre-frailty in the face of confounding factors, including markers of allostatic load which are known to be involved in frailty biology. We cross-sectionally examined these associations in a population-based study. Methods A cross-sectional analysis of data collected at Wave 1 (2010) of TILDA was undertaken. Participants aged <50 and those who did not have measurements of their BMI, WHR, chronic disease status, HbA1c, CRP, sex and educational status were excluded. Two multivariate logistic regression models (one with BMI and another one with WHR as measure of obesity) were computed adjusting for these covariates, with frail/pre-frail versus non-frail as the outcome variable. Results 4,568 participants were included: 3,277 non-frail and 1,291 frail/pre-frail. The frail/pre-frail group had a mean BMI of 29.2 (versus 28.3) kg/m2 and a mean WHR of 0.912 (versus 0.899). In the adjusted regression model, BMI had a significant association with frailty/pre-frailty (OR 1.02, 95% CI: 1.01-1.04, p=0.001). However, in the model using WHR, the latter had a stronger association with frailty (OR 4.52, 95% CI: 1.60-12.72, p=0.004). In both models, age, education, chronic disease status, HbA1c and CRP had the expected associations with frailty/pre-frailty. Female sex was significantly associated with frailty/pre-frailty in the WHR model (OR 1.26, 95% CI 1.06-1.50, p=0.008). Conclusion While obesity is associated with frailty, the distribution of body fat may be more important as a marker of frailty. These physical traits should not be overlooked in the over 50 population. The association between frailty, obesity and markers of ‘inflammaging’ could be examined longitudinally to further understand their complex biology.

scholarly journals Prevalence of Disability According to Multimorbidity and Disease Clustering: A Population-Based Study

2011 ◽  
Vol 1 (1) ◽  
pp. 11-18 ◽  
Author(s):  
Alessandra Marengoni ◽  
Sara Angleman ◽  
Laura Fratiglioni
Keyword(s):  
Older Adults ◽  
Hip Fracture ◽  
Chronic Diseases ◽  
Functional Disability ◽  
Disease Status ◽  
Population Based ◽  
Swedish Population ◽  
Population Based Study ◽  
Logistic Regression Models ◽  
Organ Systems

Background The prevalence of chronic diseases has increased with population ageing, and research has attempted to elucidate the correlation between chronic diseases and disability. However, most studies in older populations have focused on the effect of single disabling conditions, even though most older adults have more than one chronic disease (multimorbidity). Objective The aims of this study were to evaluate the association of disability with disease, in terms of multimorbidity and specified pairs of diseases, in a population-based study of older adults. Materials and Methods Using the Kungsholmen Project, we estimated the prevalence of disability by the number of chronic diseases, disease status by organ systems, and in specific pairs of chronic conditions, in a Swedish population ( n=1,099; ≥77 years). Disability was defined as need of assistance in at least one activity of daily living (Katz index). Results Functional disability was seen in 17.9% of participants. It increased as the number of chronic diseases increased. The prevalence of disability varied greatly amongst specific pairs of diseases: from 6.7% in persons affected by hypertension and atrial fibrillation to 82.4% in persons affected by dementia and hip fracture. In multivariate logistic regression models, the disease pairs that were significantly associated with the highest increased relative odds of disability contained dementia (dementia–hip fracture, dementia–CVD, and dementia–depression). Conclusions Our findings suggest specific pairs of diseases are much more highly associated with disability than others, particularly diseases coupled with dementia. This knowledge may improve prevention of disablement and planning of resource distribution.

scholarly journals Blood Oxygenation Level Dependent Magnetic Resonance Imaging (MRI), Dynamic Contrast Enhanced MRI and Diffusion Weighted MRI for Benign and Malignant Breast Cancer Discrimination: A Preliminary Experience

Cancers ◽  
2021 ◽  
Vol 13 (10) ◽  
pp. 2421
Author(s):  
Roberta Fusco ◽  
Vincenza Granata ◽  
Mauro Mattace Raso ◽  
Paolo Vallone ◽  
Alessandro Pasquale De Rosa ◽  
...  
Keyword(s):  
Standard Deviation ◽  
Univariate Analysis ◽  
Mean Value ◽  
Blood Oxygenation ◽  
Breast Lesions ◽  
Dce Mri ◽  
Malignant Lesions ◽  
The Mean ◽  
And Diffusion ◽  
Skewness And Kurtosis

Purpose. To combine blood oxygenation level dependent magnetic resonance imaging (BOLD-MRI), dynamic contrast enhanced MRI (DCE-MRI), and diffusion weighted MRI (DW-MRI) in differentiation of benign and malignant breast lesions. Methods. Thirty-seven breast lesions (11 benign and 21 malignant lesions) pathologically proven were included in this retrospective preliminary study. Pharmaco-kinetic parameters including Ktrans, kep, ve, and vp were extracted by DCE-MRI; BOLD parameters were estimated by basal signal S0 and the relaxation rate R2*; and diffusion and perfusion parameters were derived by DW-MRI (pseudo-diffusion coefficient (Dp), perfusion fraction (fp), and tissue diffusivity (Dt)). The correlation coefficient, Wilcoxon-Mann-Whitney U-test, and receiver operating characteristic (ROC) analysis were calculated and area under the ROC curve (AUC) was obtained. Moreover, pattern recognition approaches (linear discrimination analysis and decision tree) with balancing technique and leave one out cross validation approach were considered. Results. R2* and D had a significant negative correlation (−0.57). The mean value, standard deviation, Skewness and Kurtosis values of R2* did not show a statistical significance between benign and malignant lesions (p > 0.05) confirmed by the ‘poor’ diagnostic value of ROC analysis. For DW-MRI derived parameters, the univariate analysis, standard deviation of D, Skewness and Kurtosis values of D* had a significant result to discriminate benign and malignant lesions and the best result at the univariate analysis in the discrimination of benign and malignant lesions was obtained by the Skewness of D* with an AUC of 82.9% (p-value = 0.02). Significant results for the mean value of Ktrans, mean value, standard deviation value and Skewness of kep, mean value, Skewness and Kurtosis of ve were obtained and the best AUC among DCE-MRI extracted parameters was reached by the mean value of kep and was equal to 80.0%. The best diagnostic performance in the discrimination of benign and malignant lesions was obtained at the multivariate analysis considering the DCE-MRI parameters alone with an AUC = 0.91 when the balancing technique was considered. Conclusions. Our results suggest that the combined use of DCE-MRI, DW-MRI and/or BOLD-MRI does not provide a dramatic improvement compared to the use of DCE-MRI features alone, in the classification of breast lesions. However, an interesting result was the negative correlation between R2* and D.

scholarly journals Associations between Free Sugar and Sugary Beverage Intake in Early Childhood and Adult NAFLD in a Population-Based UK Cohort

Children ◽  
2021 ◽  
Vol 8 (4) ◽  
pp. 290
Author(s):  
Ahlia Sekkarie ◽  
Jean A. Welsh ◽  
Kate Northstone ◽  
Aryeh D. Stein ◽  
Usha Ramakrishnan ◽  
...  
Keyword(s):  
Total Energy ◽  
Hepatic Steatosis ◽  
Population Based ◽  
Free Sugar ◽  
Alcoholic Fatty Liver ◽  
Free Sugars ◽  
Logistic Regression Models ◽  
Sugar Intake ◽  
Sugary Beverages ◽  
Alcoholic Fatty Liver Disease

(1) Background: High sugar intake is prevalent among children and is associated with non-alcoholic fatty liver disease (NAFLD). The purpose of this study is to determine if a high intake of free sugars and sugary beverages (SB) in childhood is associated with NAFLD in adulthood; (2) Methods: At 24 years, 3095 participants were assessed for severe hepatic steatosis (controlled attenuation parameter >280 dB/m) and had dietary data collected via a food frequency questionnaire at age three years. Multiple logistic regression models adjusted for total energy intake, potential confounders, and a mediator (offspring body mass index (BMI) at 24 years); (3) Results: Per quintile increase of free sugar intake association with severe hepatic steatosis at 24 years after adjusting for total energy was odds ratio (OR):1.07 (95% CL: 0.99–1.17). Comparing the lowest vs. the highest free sugar consumers, the association was OR:1.28 (95% CL: 0.88–1.85) and 1.14 (0.72, 1.82) after full adjustment. The OR for high SB consumption (>2/day) compared to <1/day was 1.23 (95% CL: 0.82–1.84) and OR: 0.98 (95% CL: 0.60–1.60) after full adjustment; (4) Conclusions: High free sugar and SB intake at three years were positively but weakly associated with severe hepatic steatosis at 24 years. These associations were completely attenuated after adjusting for confounders and 24-year BMI.

scholarly journals Dietary and lifestyle inflammatory scores are associated with increased risk of metabolic syndrome in Iranian adults

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Hossein Farhadnejad ◽  
Karim Parastouei ◽  
Hosein Rostami ◽  
Parvin Mirmiran ◽  
Fereidoun Azizi
Keyword(s):  
Metabolic Syndrome ◽  
Positive Association ◽  
Population Based ◽  
Population Based Study ◽  
Logistic Regression Models ◽  
Increased Risk ◽  
Confounding Variables ◽  
Adjusted Model ◽  
Diet And Lifestyle

Abstract Background In the current study, we aimed to investigate the association of dietary inflammation scores (DIS) and lifestyle inflammation scores (LIS) with the risk of metabolic syndrome (MetS) in a prospective population-based study. Methods A total of 1625 participants without MetS were recruited from among participants of the Tehran Lipid and Glucose Study(2006–2008) and followed a mean of 6.1 years. Dietary data of subjects were collected using a food frequency questionnaire at baseline to determine LIS and DIS. Multivariable logistic regression models, were used to calculate the odds ratio (ORs) and 95 % confidence interval (CI) of MetS across tertiles of DIS and LIS. Results Mean ± SD age of individuals (45.8 % men) was 37.5 ± 13.4 years. Median (25–75 interquartile range) DIS and LIS for all participants was 0.80 (− 2.94, 3.64) and 0.48 (− 0.18, − 0.89), respectively. During the study follow-up, 291 (17.9 %) new cases of MetS were identified. Based on the age and sex-adjusted model, a positive association was found between LIS (OR = 7.56; 95% CI 5.10–11.22, P for trend < 0.001) and risk of MetS, however, the association of DIS and risk of MetS development was not statistically significant (OR = 1.30;95% CI 0.93–1.80, P for trend = 0.127). In the multivariable model, after adjustment for confounding variables, including age, sex, body mass index, physical activity, smoking, and energy intake, the risk of MetS is increased across tertiles of DIS (OR = 1.59; 95% CI 1.09–2.33, P for trend = 0.015) and LIS(OR = 8.38; 95% CI 5.51–12.7, P for trend < 0.001). Conclusions The findings of the current study showed that greater adherence to LIS and DIS, determined to indicate the inflammatory potential of diet and lifestyle, are associated with increased the risk of MetS.

scholarly journals Neighbourhood maternal socioeconomic status indicators and risk of congenital heart disease

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Qun Miao ◽  
Sandra Dunn ◽  
Shi Wu Wen ◽  
Jane Lougheed ◽  
Jessica Reszel ◽  
...  
Keyword(s):  
Socioeconomic Status ◽  
Congenital Heart Disease ◽  
Heart Disease ◽  
Household Income ◽  
Congenital Heart ◽  
Population Based ◽  
Income Poverty ◽  
Lower Odds ◽  
Logistic Regression Models ◽  
Chd Risk

Abstract Background This study aimed to examine the relationships between various maternal socioeconomic status (SES) indicators and the risk of congenital heart disease (CHD). Methods This was a population-based retrospective cohort study, including all singleton stillbirths and live births in Ontario hospitals from April 1, 2012 to March 31, 2018. Multivariable logistic regression models were performed to examine the relationships between maternal neighbourhood household income, poverty, education level, employment and unemployment status, immigration and minority status, and population density and the risk of CHD. All SES variables were estimated at a dissemination area level and categorized into quintiles. Adjustments were made for maternal age at birth, assisted reproductive technology, obesity, pre-existing maternal health conditions, substance use during pregnancy, rural or urban residence, and infant’s sex. Results Of 804,292 singletons, 9731 (1.21%) infants with CHD were identified. Compared to infants whose mothers lived in the highest income neighbourhoods, infants whose mothers lived in the lowest income neighbourhoods had higher likelihood of developing CHD (adjusted OR: 1.29, 95% CI: 1.20–1.38). Compared to infants whose mothers lived in the neighbourhoods with the highest percentage of people with a university or higher degree, infants whose mothers lived in the neighbourhoods with the lowest percentage of people with university or higher degree had higher chance of CHD (adjusted OR: 1.34, 95% CI: 1.24–1.44). Compared to infants whose mothers lived in the neighbourhoods with the highest employment rate, the odds of infants whose mothers resided in areas with the lowest employment having CHD was 18% higher (adjusted OR: 1.18, 95% CI: 1.10–1.26). Compared to infants whose mothers lived in the neighbourhoods with the lowest proportion of immigrants or minorities, infants whose mothers resided in areas with the highest proportions of immigrants or minorities had 18% lower odds (adjusted OR: 0.82, 95% CI: 0.77–0.88) and 16% lower odds (adjusted OR: 0.84, 95% CI: 0.78–0.91) of CHD, respectively. Conclusion Lower maternal neighbourhood household income, poverty, lower educational level and unemployment status had positive associations with CHD, highlighting a significant social inequity in Ontario. The findings of lower CHD risk in immigrant and minority neighbourhoods require further investigation.

scholarly journals Immunomagnetic sequential ultrafiltration (iSUF) platform for enrichment and purification of extracellular vesicles from biofluids

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jingjing Zhang ◽  
Luong T. H. Nguyen ◽  
Richard Hickey ◽  
Nicole Walters ◽  
Xinyu Wang ◽  
...  
Keyword(s):  
Extracellular Vesicles ◽  
Culture Media ◽  
Metastatic Breast ◽  
Clinical Samples ◽  
Clinical Use ◽  
Immunomagnetic Beads ◽  
Liquid Biopsies ◽  
Cell Culture Media ◽  
Non Invasive ◽  
Healthy Donors

AbstractExtracellular vesicles (EVs) derived from tumor cells have the potential to provide a much-needed source of non-invasive molecular biomarkers for liquid biopsies. However, current methods for EV isolation have limited specificity towards tumor-derived EVs that limit their clinical use. Here, we present an approach called immunomagnetic sequential ultrafiltration (iSUF) that consists of sequential stages of purification and enrichment of EVs in approximately 2 h. In iSUF, EVs present in different volumes of biofluids (0.5–100 mL) can be significantly enriched (up to 1000 times), with up to 99% removal of contaminating proteins (e.g., albumin). The EV recovery rate by iSUF for cell culture media (CCM), serum, and urine corresponded to 98.0% ± 3.6%, 96.0% ± 2.0% and 94.0% ± 1.9%, respectively (p > 0.05). The final step of iSUF enables the separation of tumor-specific EVs by incorporating immunomagnetic beads to target EV subpopulations. Serum from a cohort of clinical samples from metastatic breast cancer (BC) patients and healthy donors were processed by the iSUF platform and the isolated EVs from patients showed significantly higher expression levels of BC biomarkers (i.e., HER2, CD24, and miR21).

scholarly journals The relationship between socioeconomic position and health literacy among urban and rural adults in regional China

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Wei Chen ◽  
Hongfu Ren ◽  
Na Wang ◽  
Yaqing Xiong ◽  
Fei Xu
Keyword(s):  
Health Literacy ◽  
Educational Attainment ◽  
Socioeconomic Position ◽  
Population Based ◽  
Outcome Variable ◽  
Average Income ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Logistic Regression Models ◽  
Rural Adults

Abstract Background To examine associations of socioeconomic position (SEP), separately indicated by education, monthly family average income (FAI) and occupation, with health literacy (HL) among adults in regional China. Methods A cross-sectional survey was conducted among urban and rural adults (aged 25–69 years) who were randomly selected, using the probability proportionate to size sampling approach, from Nanjing municipality of China during October and December of 2016. HL, the outcome variable, was assessed using the Chinese Resident Health Literacy Scale. SEP, our independent variable, was separately measured with educational attainment, monthly family average income and occupation. Logistic regression models were introduced to examine SEP-HL association with odds ratio (OR) and 95% confidence interval (CI). Results Totally, 8698 participants completed the survey. The proportion of participants with unweighted and weighted adequate HL was 18.0% (95%CI = 17.2, 18.8%) and 19.9% (95%CI = 16.6, 23.6%), respectively, in this study. After adjustment for possible confounding factors, each SEP indicator was in significantly positive relation to both unweighted and weight HL level. Participants who obtained 13+ and 10–12 years educational attainment, respectively, had 2.41 (95%CI = 1.60, 3.64) and 1.68 (95%CI = 1.23, 2.29) times odds to record weighted adequate HL compared to their counterparts who were with 0–9 years education. Subjects within upper (OR = 1.92, 95%CI = 1.24, 2.98) and middle FAI tertile (OR = 1.59, 95%CI = 1.19, 2.13), respectively, were more likely to report weighted adequate HL relative to those who were within lower FAI tertile. White collars were more likely to have weighted adequate HL (OR = 1.33, 95%CI = 1.09, 1.61) than blue collars. Conclusions Each of education, FAI and occupation was positively associated with health literacy among urban and rural adults in China. The findings have important implications that different SEP indicators can be used to identify vulnerable residents in population-based health literacy promotion campaigns.

scholarly journals A population-based exposure assessment of risk factors associated with gastrointestinal pathogens: a Campylobacter study

2012 ◽  
Vol 141 (5) ◽  
pp. 976-986 ◽  
Author(s):  
L. A. MacRITCHIE ◽  
C. J. HUNTER ◽  
N. J. C. STRACHAN
Keyword(s):  
Risk Factors ◽  
Population Density ◽  
Exposure Assessment ◽  
Disease Incidence ◽  
Univariate Analysis ◽  
Age Groups ◽  
Multivariate Logistic Regression Analysis ◽  
Environmental Water ◽  
Population Based ◽  
Elevated Exposure

SUMMARYA questionnaire survey was undertaken to determine the exposure of a study population to campylobacteriosis source risk factors (environmental, water, food) and results were stratified by age, population density and deprivation. Data were gathered using an exposure assessment carried out by telephone in the Grampian region of Scotland. Univariate analysis showed that children aged 5–14 years, living in low population density (0–44·4 persons/km2) and affluent areas had elevated exposure to environmental and water risk factors. Multivariate logistic regression analysis revealed that younger age groups and lower population density were significant indicators for most environmental risk factors. The results compared to reported disease incidence in Grampian showed that greater exposure to risk factors does not necessarily coincide with greater disease incidence for age groups, particularly for the 0–4 years age group. Further research is required to explain the relationship between exposure and disease incidence.

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