Dandelion plot: a method for the visualization of R-mode exploratory factor analyses

Manukyan, Artür; Çene, Erhan; Sedef, Ahmet; Demir, İbrahim

doi:10.1007/s00180-014-0518-x

Cited by 7 publications

(2 citation statements)

References 48 publications

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“…Additionally, we employed latent factor analysis to identify sets of AABs (observed variables) that may indirectly interfere with the latent variables 37 . For this purpose, we used the factload function from the DandEFA 38 R 25 package.…”

Section: Methodsmentioning

confidence: 99%

Integrative Systems Immunology Analysis Reveals Elevated Anti-AGTR1 Levels with Accumulating COVID-19 Symptoms

Fonseca,

Jäpel,

Filgueiras

et al. 2024

Preprint

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The coronavirus disease 2019 (COVID-19) displays a broad spectrum of symptoms, with the underlying reasons for this variability still not fully elucidated. Our study investigates the potential association between specific autoantibodies (AABs), notably those that targeting G protein-coupled receptors (GPCRs) and renin-angiotensin system (RAS) related molecules, and the diverse clinical manifestations of COVID-19, commonly observed in patients with autoimmune conditions, including rheumatic diseases, such as systemic sclerosis. In a cross-sectional analysis, we explored the relationship between AAB levels and the presence of key COVID-19 symptoms. Hierarchical clustering analysis revealed a robust correlation between certain AABs and symptoms such as fever, muscle ache, anosmia, and dysgeusia, which emerged as significant predictors of disease severity. Specifically, AABs against CHRM5 and CXCR3 were strongly linked to fever, while AABs against CHRM5 and BDKRB1 correlated with muscle ache. Anosmia was predominantly associated with AABs against F2R and AGTR1, while dysgeusia was linked to AABs against BDKRB1 and AGTR1. Furthermore, we observed a rise in AAB levels with the accumulation of these symptoms, with the highest levels detected in patients presenting all four predictors. Multinomial regression analysis identified AABs targeting AGTR1 as a key predictor for one or more of these core symptoms. Additionally, our study indicated that anti-AGTR1 antibodies triggered a concentration-dependent degradation of eGC, which could be mitigated by the AGTR1 antagonist Losartan. This suggests a potential mechanistic connection between eGC degradation, the observed COVID-19 symptoms, and rheumatic diseases. In conclusion, our research underscores a substantial correlation between AABs, particularly those against GPCRs and RAS-related molecules, and the severity of COVID-19 symptoms. These findings open avenues for potential therapeutic interventions in the management of COVID-19.

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Section: Methodsmentioning

confidence: 99%

Integrative Systems Immunology Analysis Reveals Elevated Anti-AGTR1 Levels with Accumulating COVID-19 Symptoms

Fonseca,

Jäpel,

Filgueiras

et al. 2024

Preprint

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show abstract

“…For data analyses, we used SPSS Statistics version 28 for Windows [ 54 ] and R version 4.2.2 [ 55 ], using packages naniar 1.0.0 for MCAR test [ 56 ], EFA.dimensions 0.1.7.6 [ 57 ] for calculating polychoric correlations (using method “Fox”) and psych 2.2.9 [ 58 ] for the feasibility test, parallel analysis, and the EFA. Figure 2 is based on R package DandEFA 1.6 [ 59 ]. Descriptive statistics (means and SD) were computed for demographic characteristics and factors.…”

Section: Methodsmentioning

confidence: 99%

Factor structure of the Eating Disorder Examination-Questionnaire (EDE-Q) in adult men with eating disorders

et al. 2023

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Background Previous investigations on the Eating Disorder Examination-Questionnaire (EDE-Q) factor structures in men have been restricted to non-clinical settings, limiting conclusions about the factorial validity in men with eating disorders (ED). This study aimed to examine the factor structure of the German EDE-Q in a clinical group of adult men with diagnosed ED. Methods ED symptoms were assessed using the validated German version of the EDE-Q. Exploratory factor analysis (EFA) using principal-axis factoring based on polychoric correlations was conducted for the full sample (N = 188) using Varimax-Rotation with Kaiser-Normalization. Results Horn’s parallel analysis suggested a five-factor solution with an explained variance of 68%. The EFA factors were labeled “Restraint” (items 1, 3–6), “Body Dissatisfaction” (items 25–28), “Weight Concern” (items 10–12, 20), “Preoccupation” (items 7 and 8), and “Importance” (items 22 and 23). Items 2, 9, 19, 21, and 24 were excluded due to low communalities. Conclusions Factors associated with body concerns and body dissatisfaction in adult men with ED are not fully represented in the EDE-Q. This could be due to differences in body ideals in men, e.g., the underestimation of the role of concerns about musculature. Consequently, it may be useful to apply the 17-item five-factor structure of the EDE-Q presented here to adult men with diagnosed ED.

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Characterization of volatile organic compounds in Polygonum multiflorum and two of its processed products based on multivariate statistical analysis for processing technology monitoring

Xing

Zhou

et al. 2022

Journal of Chromatography A

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Dandelion plot: a method for the visualization of R-mode exploratory factor analyses

Cited by 7 publications

References 48 publications

Integrative Systems Immunology Analysis Reveals Elevated Anti-AGTR1 Levels with Accumulating COVID-19 Symptoms

Integrative Systems Immunology Analysis Reveals Elevated Anti-AGTR1 Levels with Accumulating COVID-19 Symptoms

Factor structure of the Eating Disorder Examination-Questionnaire (EDE-Q) in adult men with eating disorders

Characterization of volatile organic compounds in Polygonum multiflorum and two of its processed products based on multivariate statistical analysis for processing technology monitoring

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