The partial remission (PR) phase, a period experienced by most patients with type 1 diabetes (T1D) soon after diagnosis, is characterized by low insulin requirements and improved glycemic control. Given the great potential of this phase as a therapeutic window for immunotherapies because of its association with immunoregulatory mechanisms and β-cell protection, our objective was to find peripheral immunological biomarkers for its better characterization, monitoring, and prediction. The longitudinal follow-up of 17 pediatric patients with new-onset T1D over one year revealed that, during the PR phase, remitter patients show increased percentages of effector memory (EM) T lymphocytes, terminally differentiated EM T lymphocytes, and neutrophils in comparison to non-remitter patients. On the contrary, remitter patients showed lower percentages of naïve T lymphocytes, regulatory T cells (TREG), and dendritic cells (DCs). After a year of follow-up, these patients also presented increased levels of regulatory B cells and transitional T1 B lymphocytes. On the other hand, although none of the analyzed cytokines (IL-2, IL-6, TGF-β1, IL-17A, and IL-10) could distinguish or predict remission, IL-17A was increased at T1D diagnosis in comparison to control subjects, and remitter patients tended to maintain lower levels of this cytokine than non-remitters. Therefore, these potential monitoring immunological biomarkers of PR support that this stage is governed by both metabolic and immunological factors and suggest immunoregulatory attempts during this phase. Furthermore, since the percentage of TREG, monocytes, and DCs, and the total daily insulin dose at diagnosis were found to be predictors of the PR phase, we next created an index-based predictive model comprising those immune cell percentages that could potentially predict remission at T1D onset. Although our preliminary study needs further validation, these candidate biomarkers could be useful for the immunological characterization of the PR phase, the stratification of patients with better disease prognosis, and a more personalized therapeutic management.

Employment precariousness is widely recognised as a social determinant of health and a chronic stressor. Yet precariousness extends beyond employment, into other aspects of life.Using a multidimensional social pathways approach, this study examines the synergistic effects of employment and housing precariousness on self-perceived stress. This study uses the PRESSED dataset (N = 255) derived from the Barcelona Health Survey, which collects data on stress using the Perceived Stress Scale (PSS). Employment precariousness was operationalized using the Employment Precariousness Scale (EPRES) and a multidimensional indicator of housing precariousness was constructed. Generalized structural equation modelling was used to estimate associations between these indicators and self-perceived stress measured by Perceived Stress Survey (PSS), after accounting for sociodemographic variables.Employment and housing precariousness were positively associated with self-perceived stress (OR=3.23; p=0.002) (OR=4.28; p=0.065) respectively. The mediating effect of housing 2 precariousness accounted for 16% of the total effect of employment precariousness on stress after controlling for sociodemographic variables. Furthermore, we find that both precarious conditions were unequally distributed by age, sex educational level, and place of birth in the sample. We conclude that employment and housing precariousness are important chronic stressors and that a social pathway approach is needed .