Elevated Lipid and Pro-Inflammatory Markers Relate to Future Depression and Anxiety Components: A Cross-Lagged Prospective Network Analysis

2021 ◽  
Author(s):  
Nur Hani Zainal ◽  
Michelle G. Newman
Keyword(s):  
Network Analysis ◽  
Depressed Mood ◽  
Inflammatory Markers ◽  
Density Lipoprotein ◽  
Somatic Symptoms ◽  
Self Report ◽  
Lipoprotein Cholesterol ◽  
Adult Women ◽  
Depression And Anxiety ◽  
Lipid Markers

Background: Vulnerability theories propose that higher levels of lipid and pro-inflammatory markers precede and relate to future heightened depression and anxiety. Scar models posit the reverse association. However, most studies testing biomarker-psychopathology relations have been cross-sectional, which precludes causal inferences, and did not differentiate biomarker and psychopathology components. We thus used cross-lagged prospective network analysis (CLPN) to investigate this topic. Methods: Community adult women (n = 3,302) completed a self-report (Center for Epidemiologic Studies-Depression scale; CES-D) and provided biomarker samples. CLPN identified true relations (edges) among components (nodes) of psychopathology (depressed mood, anxiety severity, somatic symptoms, interpersonal issues), lipid markers (insulin, glucose, triglycerides), inflammation (C-reactive protein, fibrinogen), low-density lipoprotein-cholesterol (LDL), and high-density lipoprotein-cholesterol (HDL), within and across five time-points. Results: Contemporaneous CLPN revealed true positive edges for somatic symptoms-inflammation, somatic symptoms-lipid markers, and anxiety severity-lipid markers. Temporal networks showed that higher levels of lipid or pro-inflammatory markers were related to greater future depressed mood, somatic symptoms, anxiety severity, and interpersonal issues. Also, lower HDL level was associated with more future somatic symptoms, interpersonal issues, and depressed mood. Further, somatic symptoms and lipid markers had the strongest effect on future nodes in the network. Conclusions: Overall, the results were consistent with vulnerability (vs. scar) models. Possible mechanistic accounts include long-term dysregulated metabolic, endocrine, and immune systems and social disengagement patterns. Cognitive-behavioral and related lifestyle-based therapies that optimize diet, nutrition, and physical activity may effectively target depression and anxiety at the prevention and treatment stages. Other theoretical and clinical implications were discussed.

scholarly journals A Cross-Lagged Prospective Network Analysis of Common Mental Health and Cognitive Functioning Components in Midlife Community Adult Women

2021 ◽  
Author(s):  
Nur Hani Zainal ◽  
Michelle G. Newman
Keyword(s):  
Network Analysis ◽  
Positive Affect ◽  
Cognitive Functioning ◽  
Depressed Mood ◽  
Somatic Symptoms ◽  
Interpersonal Problems ◽  
Anxiety Symptoms ◽  
Adult Women ◽  
Causal Inferences ◽  
Vulnerability Theory

Background: The scar theory proposes that heightened depression and anxiety precede and predict worse cognitive functioning outcomes, whereas the vulnerability model posits the opposite pathway. However, most investigations on this topic have been cross-sectional, which precludes causal inferences. Thus, our study used both contemporaneous and temporal cross-lagged panel network analysis to facilitate causal inferences in understanding the relations between psychopathology components and cognitive functioning. Methods: Racially-diverse midlife women (n = 3,302) participated in the Study of Women's Health Across the Nation across two time-points, spanning one year apart. Five psychopathology (anxiety symptoms, depressed mood, somatic symptoms, positive affect, interpersonal problems) and cognitive functioning nodes (working memory (WM), processing speed (PS), visual memory (VSM), auditory memory (ARM)) were assessed. Results: Contemporaneous networks yielded notable inverse between-node relations (edges) for interpersonal problems and reduced VSM and PS, and between depressed mood or anxiety symptoms and VSM, ARM, or PS. Moreover, nodes that had the highest likelihood to bridge psychopathology and cognitive functioning constructs were positive affect, anxiety symptoms, WM, and ARM. Temporal networks produced edges inconsistent with the vulnerability theory. Higher depressed mood and somatic symptoms and lower positive affect were related to reduced future PS, WM, and/or VSM. Likewise, greater interpersonal issues and anxiety symptoms were linked to poorer future ARM and WM. Also, positive affect had the strongest effect on future nodes. Conclusions: These results provide stronger support for the scar theory than the vulnerability theory.

Abstract 13170: Endothelial Function is Impaired in Relation to Alcohol Consumption in Men in a Large General Population

Circulation ◽  
2015 ◽  
Vol 132 (suppl_3) ◽  
Author(s):  
Nozomu Oda ◽  
Yukihito Higashi ◽  
Masato Kajikawa ◽  
Tatsuya Maruhashi ◽  
Akimichi Iwamoto ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Alcohol Consumption ◽  
General Population ◽  
Endothelial Function ◽  
Vascular Function ◽  
Density Lipoprotein ◽  
Self Report ◽  
Lipoprotein Cholesterol ◽  
Adjusted Risk ◽  
Significant Difference

Introduction: Endothelial function is impaired in heavy or binge drinking. Heavy drinking should be a predictor of endothelial dysfunction. However, there is little information on the effects of dose-dependent alcohol consumption on endothelial function. Therefore, we evaluated the relationship between alcohol consumption and endothelial function in a large general population. Methods and Results: We measured flow-mediated vasodilation (FMD) in 2734 men who provided self-report about habitual alcohol intake. The subjects were divided into five groups by alcohol consumption: none (0 g/week), light (0 g/week< to ≤140 g/week), moderate (140 g/week< to ≤280 g/week), heavy (280 g/week< to ≤420 g/week), and excessive (420 g/week<). Age, systolic blood pressure, diastolic blood pressure, triglycerides, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, gamma glutamyl transpeptidase, uric acid, plasma glucose, hemoglobin A1c, and current smoking were significantly correlated with alcohol consumption. FMD showed a gradual decrease according to increased alcohol consumption (none, 6.6±3.4%; light, 6.2±3.0%; moderate, 6.0±3.0%; heavy, 5.5±2.9%; excessive, 5.3±3.0%; P<0.01). There was a significant difference in FMD between the non-drinker group and the light drinker group (P=0.018). After adjusted risk factors, we showed the significantly smaller FMD in the 4 drinker groups than in the non-drinker group: light drinker group (OR, 1.38; 95% CI, 1.10 to 1.75), moderate drinker group (OR, 1.36; 95% CI, 1.01 to 1.82), heavy drinker group (OR, 2.05; 95% CI, 1.46 to 2.87), excessive drinker group (OR, 2.04; 95% CI, 1.43 to 2.89). Conclusions: These findings suggest that even light alcohol consumption impair the endothelial function. Alcohol drinking may be harmful for vascular function.

scholarly journals Major Lipids, Apolipoproteins, and Alterations of Gut Microbiota

2020 ◽  
Vol 9 (5) ◽  
pp. 1589
Author(s):  
Kyung Eun Yun ◽  
Jimin Kim ◽  
Mi-hyun Kim ◽  
Eunkyo Park ◽  
Hyung-Lae Kim ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Microbial Diversity ◽  
Large Scale ◽  
Blood Lipids ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Control Group ◽  
Rrna Gene ◽  
Sequencing Data ◽  
Lipid Markers

The gut microbiota has been linked to blood lipids. However, the relationship between the gut microbiome and other lipid markers like apolipoproteins A1 (apoA1) and B (apoB) as well as classical lipid markers in Asians remain unclear. Here, we examined the associations between gut microbial diversity and taxonomic compositions with both apolipoproteins and lipid markers in a large number of Korean patients. The fecal 16S rRNA gene sequencing data from 1141 subjects were analyzed and subjects were categorized into control group (G0) or abnormal group (G1) according to blood lipid measurements. The microbial diversity and several taxa of the gut microbiota were significantly associated with triglyceride, apoA1, and apoB levels, but not with total cholesterol, low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol levels. The alpha diversity of the gut microbiota was inversely associated with high triglyceride level. Interestingly, G1 of apoA1 showed increased microbial richness and distinct microbial community compared with G0 of apoA1. A high abundance of Fusobacteria and low abundance of Oscillospira were found in the hypertriglyceridemia group. In this large-scale study, we identified associations of gut microbiota with apolipoproteins and classical lipid markers, indicating that the gut microbiota may be an important target for regulating blood lipids.

Effectiveness of Continuous Aerobic Versus High-Intensity Interval Training on Atherosclerotic and Inflammatory Markers in Boys With Overweight/Obesity

2020 ◽  
pp. 1-7
Author(s):  
Alireza Paahoo ◽  
Vahid Tadibi ◽  
Nasser Behpoor
Keyword(s):  
Lipid Profile ◽  
High Intensity ◽  
Inflammatory Markers ◽  
Aerobic Training ◽  
Density Lipoprotein ◽  
Interval Training ◽  
Serum Levels ◽  
Lipoprotein Cholesterol ◽  
High Intensity Interval Training ◽  
High Intensity Interval

Purpose: Atherosclerosis is a complex multifactorial disease whose first steps can be initiated from childhood. Therefore, we examined the effects of 2 training models on salusins levels, inflammatory markers, and lipid profile in boys with overweight/obesity. Method: Forty-five boys with overweight/obesity with the mean age of 11.06 (1.0) years were randomly divided into three groups of 15: a high-intensity interval training (HIIT) group (100%–110% of maximum aerobic speed); an aerobic training group (40%–70% of heart rate reserve); and a control group. The intervention included 3 sessions per week for 12 weeks. Results: Findings showed significant improvements in serum levels of salusins, salusins ratio, interleukin-6 (IL-6), and total cholesterol (TC) in both training groups (P < .001). Also, the serum levels of C-reactive protein (CRP), triglycerides (TG), low-density lipoprotein cholesterol (LDL), high-density lipoprotein cholesterol (HDL), atherogenic index of plasma (AIP), and cholesterol index improved significantly (P < .01). Except for the TG, HIIT caused higher improvements than aerobic training (P < .001 for salusin-α, salusins ratio, IL-6, CRP, TC, HDL, AIP, and cholesterol index; and P < .01 for salusin-β and LDL). Conclusion: The present study shows that HIIT has more positive effects than aerobic exercise on the atherosclerotic and inflammatory factors, as well as lipid profile variables in children with overweight/obesity.

scholarly journals Association between Inflammatory Markers and Clinical and Metabolic Risk Factors for Cardiovascular Diseases

2009 ◽  
Vol 63 (4-5) ◽  
pp. 204-209
Author(s):  
Inga Stuķēna ◽  
Andrejs Kalvelis ◽  
Guntis Bahs ◽  
Uldis Teibe ◽  
Pēteris Tretjakovs ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Diseases ◽  
Carbohydrate Metabolism ◽  
Inflammatory Markers ◽  
Density Lipoprotein ◽  
Metabolic Risk Factors ◽  
Lipoprotein Cholesterol ◽  
Metabolic Risk ◽  
Model Assessment ◽  
Tnf Α

Association between Inflammatory Markers and Clinical and Metabolic Risk Factors for Cardiovascular Diseases The inflammatory reaction plays an important role in the development of atherosclerosis. The clinical significance of the main inflammatory markers — C-reactive protein (CRP), interleukin 6 (IL6), tumour necrosis factor alpha (TNF-α), plasminogen activator inhibitor 1 (PAI1), etc. — has not been fully established. CRP, IL6, TNF-α, and PAI1 were assessed in 100 patients in terms of certain clinical indicators (sex, obesity indicators, blood pressure, and heart rate), total cholesterol (TC), low-density lipoprotein-cholesterol (LDL-C), high-density lipoprotein-cholesterol (HDL-C), triglycerides (TG), glucose, insulin, homeostasis model assessment of insulin resistance (HOMA-IR), adiponectin, and leptin levels. CRP and PAI1 levels were elevated in subjects with increased body mass index (BMI) and waist circumference. CRP correlated positively with indicators of carbohydrate metabolism and negatively with TC, HDL-C, and adiponectin. PAI1 correlated positively with insulin levels, HOMA-IR, leptin, and TG, but negatively with HDL-C. IL6 correlated negatively with TC, but TNF-α correlated negatively with HDL-C. Both IL6 and TNF-α correlated positively with leptin levels. TNF-α correlated with TG levels and the indicators of carbohydrate metabolism only in women. CRP and PAI1 are the most sensitive inflammatory markers; their levels were higher in adipose subjects.

Postprandial metabolism and inflammatory markers in overweight adolescents

2014 ◽  
Vol 5 (4) ◽  
pp. 299-306 ◽  
Author(s):  
B. C. Schauren ◽  
V. L. Portal ◽  
F. G. Beltrami ◽  
T. J. dos Santos ◽  
L. C. Pellanda
Keyword(s):  
Inflammatory Response ◽  
Repeated Measures ◽  
Inflammatory Markers ◽  
Density Lipoprotein ◽  
High Sensitivity ◽  
Normal Weight ◽  
Lifestyle Changes ◽  
Lipoprotein Cholesterol ◽  
Postprandial Metabolism ◽  
Hs Crp

Lifestyle changes have an impact on lipid metabolism. The overload of circulating lipids may lead to endothelial dysfunction, oxidative stress and exaggerated inflammatory response, which may be further aggravated in the presence of overweight. This study aims to describe the postprandial metabolism and inflammatory response in overweight and normal-weight adolescents. Sixty-two adolescents aged 11–18 years were divided into two groups: overweight (OW; n=38) and normal weight (NW; n=24). Total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), triglycerides (TG), glucose, insulin, high-sensitivity C-reactive protein (hs-CRP), fibrinogen and leukocytes were collected for fasting and 4 and 6 h after a oral fat tolerance test (OFTT) consisting of a high-fat meal with 1.000 Kcal, 27.4% carbohydrates, 14.7% protein and 57.8% lipids (30.4% saturated, 32.7% monounsaturated, 26.5% polyunsaturated fatty acids and 288 mg TC). Data were analyzed with repeated measures ANOVA, multiple linear regression, and Pearson, Spearman and partial correlations. OW adolescents showed significantly higher fasting values of TC (P=0.036), LDL-C (P=0.010), fibrinogen (P=0.036) and hs-CRP (P=0.004). All variables, except for glucose, increased in response to OFTT, but there were no interactions between group and time. body mass index z-score was positively correlated to LDL-C, TG, fibrinogen and hs-CRP, and inversely correlated to HDL-C. In conclusion, adolescents with OW showed higher TC, LDL-C and inflammatory markers levels than NW adolescents. These findings have clinical implications for prevention of chronic diseases, as we spend most of our days in a postprandial state.

scholarly journals Estimation of human metabolic age using regression and neural network analysis

2021 ◽  
Vol 23 (1) ◽  
pp. 60-64
Author(s):  
O. V. Korkushko ◽  
A. V. Pysaruk ◽  
V. P. Chyzhova
Keyword(s):  
Neural Network ◽  
Network Analysis ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Multiple Regression Equation ◽  
Low Density ◽  
Neural Network Analysis ◽  
Study Results ◽  
Metabolic Age

The aim is to develop the methods for assessing the rate of human aging by metabolic parameters (metabolic age). Materials and methods. The study examined 120 subjects aged 40–80 years. All the people included in the study underwent the determination of plasma glucose concentration, lipid profile – total cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein, very low-density lipoprotein cholesterol and creatinine as well as the standard glucose tolerance test. Validation of the panel of indicators was carried out using regression and neural network analysis. Results. According to the study results, the standard error in determining the metabolic age using the multiple regression equation was 9.31 years, and using the neural network – 3.18 years. Conclusions. The methods that we have developed for assessing the rate of metabolic aging showed sufficient (regression analysis) and high (neural network analysis) accuracy and can be used to assess the risk of metabolic syndrome, cardiovascular disease, and type II diabetes. The implementation of the proposed methods would not only identify people at risk for pathology, but also assess the effectiveness of treatment, prevention and rehabilitation measures.

Sign in / Sign up

Export Citation Format

Share Document