Biology subjects

van Beek, J.

Publications and source records attributed to van Beek, J..

4 recordsLinked to original sources

bioRxiv2026

CD4+ T cell activation is dependent on a novel form of ULK1/2-independent autophagy

Autophagy is essential for CD4+ T cell activation and immune regulation. However, during activation both autophagy and anabolic signaling must be simultaneously sustained, challenging established models of pathway antagonism. Here, we show that T cell receptor signaling and co-stimulation induce a non-canonical form of autophagy required for proliferation and cytokine production. Pharmacological and genetic analyses reveal that this pathway is activated concurrently with mTORC1, and is dependent on PIK3C3, but occurs independently of the canonical regulators ULK1/2, AMPK, ATG13, and Beclin 1. Furthermore, immuno-electron microscopy demonstrates that activation generates smaller autophagic structures that associate with multivesicular bodies and exhibit a unique morphology. These findings uncover a fundamental rewiring of autophagy control in CD4+ T cells and identify a novel form of mechanistically and morphologically distinct non-canonical autophagy.

cell biology↗

bioRxiv2023

Frailty is related to serum inflammageing markers: results from the VITAL study

Frailty describes an age-associated state in individuals with an increased vulnerability and less resilience against adverse outcomes. To score frailty, studies have employed the questionnaires, such as the SF-36 and EQ-5D-3L, or the Frailty Index, a composite score based on deficit accumulation. Furthermore, ageing of the immune system is often accompanied by a state of low-grade inflammation (inflammageing). Here, we aimed to associate 29 circulating markers of inflammageing with frailty measures in a prospective cohort study to understand the mechanisms underlying ageing. Frailty measures and inflammageing markers were assessed in 317 participants aged 25-90. We determined four different measures of frailty: the Frailty Index based on 31 deficits, the EQ-5D-3L and two physical domains of the SF-36. Serum/plasma levels of inflammageing markers and CMV/EBV seropositivity were measured using different techniques: Quanterix, Luminex or ELISA. All four measures of frailty strongly correlated with age and BMI. Nineteen biomarkers correlated with age, some in a linear fashion (IL-6, YKL-40), some only in the oldest age brackets (CRP), and some increased at younger ages and then plateaued (CCL2, sIL-6R). After correcting for age, biomarkers, such as IL-6, CRP, IL-1RA, YKL-40 and elastase, were associated with frailty. When corrected for BMI, the number of associations reduced further. In conclusion, inflammageing markers, particularly markers reflecting innate immune activation, are related to frailty. These findings indicate that health decline and the accumulation of deficits with age is accompanied with a low-grade inflammation which can be detected by specific inflammatory markers.

immunology↗

bioRxiv2021

Associations and recovery dynamics of the nasopharyngeal microbiota during influenza-like illness in the aging population

BackgroundOlder adults are more susceptible to respiratory pathogens, several of which have been associated with an altered respiratory microbiota. Influenza-like illness (ILI), a disease caused by respiratory pathogens including but not exclusively by influenza virus, is a major health concern in this population. However, there is little information on changes in the nasopharyngeal (NP) microbiota of older adults associated with respiratory infections identified by/ reported as ILI, as well as its dynamics during recovery. Here, we compared the NP microbiota in older adults who presented with ILI (n= 240) to the NP microbiota in older adults not reporting an ILI event (n= 157) during the 2014-2015 influenza season. To investigate the dynamics of the microbiota from the acute phase to the recovery phase of the infection, participants reporting an ILI event were sampled at onset of infection (<72 hours), at 14 days and at 7-9 weeks after infection (recovery sample). ResultsCross-sectional analysis of the microbiota at the different time-points showed no differences in alpha diversity between the groups. A small but significant effect of the ILI was observed on the microbiota community and structure when compared to controls and recovery samples. Furthermore, the NP microbiota exhibited inter-individual differences in dynamics from onset of ILI to recovery. Corynebacterium, one of the keystone species in the upper respiratory tract, was negatively associated with ILI and its abundance increased after recovery. Potential pathobionts such as Haemophilus, Porphyromonas and Gemella had higher abundances during acute-ILI. Stability and changes in the NP microbial community showed individual dynamics. Key core genera, Corynebacterium, Moraxella and Dolosigranulum exhibited higher inter-individual variability in acute-ILI, but showed comparable variability to controls after recovery. Participants in the ILI group with higher core microbiota abundances at the acute phase showed higher microbiota stability after recovery. ConclusionsOur findings demonstrate that acute-ILI is associated with small but significant alterations in the phylogenetic structure of the NP microbiota in older adults. The observed variation in the core microbiota suggests potential imbalances in the ecosystem, which could play a role in the recovery of the NP microbiota after an ILI event.

microbiology↗

bioRxiv2016

Structure of general-population antibody titer distributions to influenza A virus

Seroepidemiological studies aim to understand population-level exposure and immunity to infectious diseases. Results from serological assays are normally presented as binary outcomes describing the presence or absence of pathogen-specific antibody, despite the fact that many assays measure continuous quantities. A populations natural distribution of antibody titers to an endemic infectious disease may in fact include information on multiple serological states - e.g. naivete, recent infection, non-recent infection - depending on the disease in question and the acquisition and waning patterns of host immunity. In this study, we investigate a collection of 20,152 general-population serum samples from southern Vietnam collected between 2009 and 2013 from which we report antibody titers to the influenza virus HA1 protein using a continuous titer measurement from a protein microarray assay. We describe the distributions of antibody titers to subtypes 2009 H1N1 and H3N2. Using a model selection approach to fit mixture distributions, we show that 2009 H1N1 antibody titers fall into four titer subgroups and that H3N2 titers fall into three subgroups. For H1N1, our interpretation is that the two highest-titer subgroups correspond to recent infection and historical infection, which is consistent with 2009 pandemic attack rates. For H3N2, observations censored at the highest titer dilutions make similar interpretations difficult to validate.

epidemiology↗