Schematic diagram of the studied CpG sites in the <i>IGF2BP1</i> gene.

<p>Top: depiction of chromosome 17 with a red mark indicating the locus of <i>IGF2BP1</i> (chr17:47,074,774–47,133,012). Bottom: location of cg07075026 and cg20966754 CpG sites, represented over an intron in a transcript of <i>IGF2BP1</i> at chr17:47,074,774–47,133,507. Red vertical squares crossing the transcript cover exonic regions. Adapted from the UCSC Genome Browser (GRCh37/hg19; <a href="http://genome.ucsc.edu" target="_blank">http://genome.ucsc.edu</a>).</p

Results of the linear regression testing the association between <i>IGF2BP1</i> DNA methylation levels and both BW and WM.

<p>Mean methylation percentage of cg07075026 and cg20966754 was used as outcome. Analyses were adjusted for gender, age, weeks of gestation and IQ, and accounted for correlated responses from twin pairs using a mixed effects model. BW was introduced in kilograms and WM in standard units. SE: Standard error.</p><p>Results of the linear regression testing the association between <i>IGF2BP1</i> DNA methylation levels and both BW and WM.</p

Representation of the association between birth weight and DNA methylation level of cg07075026 and cg20966754.

<p>The black line (“Whole BW”) was obtained from the first regression test (i.e., using raw BW from each of the 34 individuals), whereas blue and red lines (“Familial BW” and “Unique environment BW”) represent outcomes from the model evaluating familial and unique environmental factors.</p

Results of the linear regression testing the association between <i>IGF2BP1</i> DNA methylation level and the familial and unique environmental factors of both BW and WM.

<p>Mean methylation percentage of cg07075026 and cg20966754 was used as outcome. Analyses were adjusted for gender, age, weeks of gestation and IQ, and accounted for correlated responses from twin pairs using a mixed effects model. BW was introduced in kilograms and WM in standard units. SE: Standard error.</p><p>Results of the linear regression testing the association between <i>IGF2BP1</i> DNA methylation level and the familial and unique environmental factors of both BW and WM.</p

Descriptive data for variables included in the analyses.

<p>MZ  =  monozygotic; SD  =  standard deviation; BW  =  birth weight; WM  =  working memory; IQ  =  intellectual quotient; *: average methylation fraction of cg07075026 and cg20966754 (<i>IGF2BP1</i>) (see <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0103639#s2" target="_blank">Materials and methods</a>: b. CpG region selection).</p><p>Descriptive data for variables included in the analyses.</p

Representation of the association between working memory and DNA methylation level of cg07075026 and cg20966754.

<p>The black line (“Whole WM”) was obtained from the first regression test (i.e., using raw WM from each of the 34 individuals), whereas blue and red lines (“Familial WM” and “Unique environment WM”) represent outcomes from the model evaluating familial and unique environmental factors.</p

Self and other body perception in anorexia nervosa: The role of posterior DMN nodes

<p><b>Objectives:</b> Body image distortion is a core symptom of anorexia nervosa (AN), which involves alterations in self- (and other’s) evaluative processes arising during body perception. At a neural level, self-related information is thought to rely on areas of the so-called default mode network (DMN), which, additionally, shows prominent synchronised activity at rest.</p> <p><b>Methods:</b> Twenty female patients with AN and 20 matched healthy controls were scanned using magnetic resonance imaging when: (a) viewing video clips of their own body and another's body; (b) at rest. Between-group differences within the DMN during task performance were evaluated and further explored for task-related and resting-state-related functional connectivity alterations.</p> <p><b>Results:</b> AN patients showed a hyperactivation of the dorsal posterior cingulate cortex during their own-body processing but a response failure to another’s body processing at the precuneus and ventral PCC. Increased task-related connectivity was found between dPCC–dorsal anterior cingulate cortex and precuneus–mid-temporal cortex. Further, AN patients showed decreased resting-state connectivity between the dPCC and the angular gyrus.</p> <p><b>Conclusions:</b> The PCC and the precuneus are suggested as key components of a network supporting self–other-evaluative processes implicated in body distortion, while the existence of DMN alterations at rest might reflect a sustained, task-independent breakdown within this network in AN.</p

Additional file 1 of SARS-CoV-2 infection, vaccination, and antibody response trajectories in adults: a cohort study in Catalonia

Additional file 1: Table S1. Characteristics of participants with breakthrough infections, post-vaccination. Table S2. Allocation of vaccinated and non-vaccinated participants with evidence of infection according to the criterion of infection fulfilled. Table S3. Fold change (FC) (95% CI) in antibody levels within one year after infection estimated using two repeated samples among decayers. Estimates are based on linear mixed-effects models. Table S4. Spearman correlations for RBD antigen. All participants, n=1,076. Darker red=stronger association. Table S5. Cross tabulation between serostatus to RBD of Wuhan variant with the RBD of Alpha, Beta Gamma and Delta variants. Table S6. Characteristics of non-responders (seronagetive or with an undetermined status) to vaccination. Table S7. Association (fold change FC and 95% CI and p-values) between each determinant with log10 antibody leves in vaccinated people after adjusting each model for time since last vaccination and number of doses. Participants with any vaccination excluding Janssen (n=923). Table S8. P-values for comparisons related to Figs. 3 and 5 and Figure S6. Figure S1. Dates and density of positive viral detection tests, sampling in 2020 (1st serological assessment) and 2021 (2nd serological assessment) and receipt of 1st vaccine dose in the study population (n=1,076). Figure S2. Venn diagram illustrating overlap between sustainer groups of IgA or IgG antibodies against nucleoprotein and spike antigens, among all infected unvaccinated participants (n=64). Figure S3. Differences in IgG antibody responses against RBD between Wuhan, Alpha, Beta, Gamma and Delta variant among vaccinated people. All differences were statistically significant apart from Delta vs Wuhan (p=0.861) and Alpha vs Wuhan (p=0.051). Figure S4. Generalized additive models for associations of days since vaccination with antibody responses to the six isotype-antigen combinations in infected (red) and naïve (blue) participants after first or second dose in people vaccinated by Vaxzevria (a), Comirnaty (b) or Spikevax (c). Fitted lines after adjustment for participant’s age. Plus symbols (+) represent measured responses for a specific participant. Figure S5. Differences in antibody responses by infection and/or vaccination and number of doses in people vaccinated with Comirnaty (a), Spikevarx (b), Vaxzevria (c) of Janssen COVID-19 vaccine (d). Figure S6. Differences in IgM responses by infection and/or vaccination and number of doses. Table S8 presents corresponding p-values