👤 Paola Bertolino

Inflammation is increasingly implicated in the pathophysiology of mood and psychotic disorders. Integrating blood biomarkers and brain imaging may help uncover mechanistic pathways and guide targeted interventions. To identify shared and distinct multivariate patterns of peripheral inflammation and gray matter volume (GMV) in early-stage depressive and psychotic disorders using a transdiagnostic machine learning approach. The naturalistic multicenter PRONIA study was conducted between February 2014 and May 2019 with a follow-up period of up to 36 months; baseline data were analyzed between August 2021 and April 2024. Eight sites, including inpatient and outpatient facilities, in 5 European countries (Germany, Italy, Switzerland, Finland, and the United Kingdom) were included. The study included individuals with recent-onset depression (ROD, n = 163) or psychosis (ROP, n = 177) or clinical high-risk states for psychosis (CHR-P, n = 172), all with minimal medication exposure, and healthy control (HC) individuals (n = 166). Structural magnetic resonance imaging (MRI), peripheral assays of cytokines (eg, interleukin [IL] 6, IL-1β, tumor necrosis factor [TNF] α, C-reactive protein [CRP], brain-derived neurotrophic factor [BDNF], S100 calcium-binding protein B [S100B]); clinical assessments; neurocognitive testing. After data collection, sparse partial least squares was used to identify latent brain-blood signatures. Support vector machine classification evaluated psychosocial and neurocognitive predictors of signature expression using repeated nested cross-validation. A total of 678 participants (346 [51.0%] female; median [IQR] age, 24.0 [20.9-28.9] years) were included. Four signatures were identified. A psychosis signature (ρ = 0.27; P = .002) differentiated ROP from CHR-P with elevated IL-6, TNF-α, and reduced CRP, alongside GMV shifts in corticothalamic circuits. A depression signature (ρ = 0.19; P = .02) differentiated ROD from HC individuals with elevated IL-1β, IL-2, IL-4, S100B, and BDNF and GMV reductions in limbic regions. Additional signatures reflected age (ρ = 0.67) and sex or MRI quality (ρ = 0.53). Psychosocial features, including a differential childhood trauma pattern, predicted both the psychosis (balanced accuracy [BAC] = 67.2%) and depression (BAC = 78.0%) signatures. Cognitive performance predicted only the psychosis signature (BAC = 65.1%). In this study, early-stage depression and psychosis exhibited distinct neurobiological signatures involving immune and neuroanatomical markers, challenging fully dimensional disease models. These signatures are shaped by childhood trauma and cognition and may support biologically informed early interventions. Show less

Senescent cells are characterized by a stable proliferation arrest and a senescence-associated secretory phenotype or SASP. Although these cells can have some beneficial effects, including protecting from tumor formation, their accumulation is deleterious during aging as it promotes age-related diseases, including cancer initiation and progression. Although the SASP has a critical role, its composition, regulation and dual role in cancer remain largely misunderstood. Here, we show that ANGPTL4 is one of the rare secreted factors induced in many different types of senescent cells. Importantly, ANGPTL4 knockdown during senescence or its constitutive expression, respectively inhibits or induces classical proinflammatory SASP factors, such as IL1A, IL6 and IL8. The latter effect is mediated upstream of IL1A, an early SASP factor, suggesting an upstream role of ANGPTL4 in SASP induction. This ANGPTL4-dependent proinflammatory SASP can promote human neutrophil activation in ex vivo assays, or tumor initiation in a KRAS-dependent lung tumorigenesis model in mice. This upstream activity of ANGPTL4 in regulating the proinflammatory SASP depends on its upregulation following a hypoxia-like response and HIF2A activation, and its proteolytic processing by the FURIN proprotein convertase. Altogether these findings shed light on a two-step activation of ANGPTL4 by HIF2A and FURIN in senescent cells and its upstream role in promoting the proinflammatory SASP, cancer and potentially other senescence-associated diseases. Show less

Monocytes and regulatory noncoding RNAs play a crucial role in the development of atherosclerosis (ATH). We have previously shown that miR-125b-5p was upregulated in aortic macrophages, and the aim of this paper was to further study the "in vivo" impact of miR-125b-5p in ATH progression. Eight-weeks-old Show less

Although inland water bodies are more heterogeneous and sensitive to environmental variation than oceans, the diversity of small protists in these ecosystems is much less well known. Some molecular surveys of lakes exist, but little information is available from smaller, shallower and often ephemeral freshwater systems, despite their global distribution and ecological importance. We carried out a comparative study based on massive pyrosequencing of amplified 18S rRNA gene fragments of protists in the 0.2-5 μm size range in one brook and four shallow ponds located in the Natural Regional Park of the Chevreuse Valley, France. Our study revealed a wide diversity of small protists, with 812 stringently defined operational taxonomic units (OTUs) belonging to the recognized eukaryotic supergroups (SAR--Stramenopiles, Alveolata, Rhizaria--Archaeplastida, Excavata, Amoebozoa, Opisthokonta) and to groups of unresolved phylogenetic position (Cryptophyta, Haptophyta, Centrohelida, Katablepharida, Telonemida, Apusozoa). Some OTUs represented deep-branching lineages (Cryptomycota, Aphelida, Colpodellida, Tremulida, clade-10 Cercozoa, HAP-1 Haptophyta). We identified several lineages previously thought to be marine including, in addition to MAST-2 and MAST-12, already detected in freshwater, MAST-3 and possibly MAST-6. Protist community structures were different in the five ecosystems. These differences did not correlate with geographical distances, but seemed to be influenced by environmental parameters. Show less