Sergio Ciordia

Multicenter studies are essential for benchmarking analytical workflows, yet their interpretation is often confounded by the combined effects of experimental protocols and instrumentation. To address this challenge, we introduce a simple normalization-based analytical framework, the recovery metric (ρ), designed to decouple protocol driven effects from instrument dependent variability. We applied this framework to the 13th Proteomics Multicentric Experiment (PME13), a large multicentric proteomics dataset generated across 27 laboratories using high sensitivity workflows and varying sample preparation protocols. By leveraging a common digested reference sample, ρ enables direct cross-comparison of all datasets on a unified scale, effectively minimizing instrument-related biases. Using this approach, we demonstrate that apparent instrument dependent trends are largely removed when evaluated through ρ, revealing consistent protocol driven effects across laboratories. Statistical modeling identified key variables influencing ρ, including sample input amount, reduction and alkylation, and the use of n-dodecyl-β-D-maltoside (DDM). While DDM was associated with improved ρ, reduction and alkylation and additional handling steps led to reduced performance, particularly at low input levels. We further highlight practical considerations for the application of ratio based normalization, including the occurrence of values exceeding theoretical bounds, which reflect deviations from underlying assumptions and require appropriate filtering. Overall, this work establishes a generalizable analytical strategy for disentangling confounding factors in multicentric datasets and provides practical guidelines for optimizing high sensitivity proteomics (HSP) workflows. The proposed framework is broadly applicable to other analytical fields where cross laboratory comparability is required.

Background: Epigenetic alterations play an increasingly recognized role in carcinogenesis and in the development of resistance to anticancer therapies. Epigenetic enzymes (writers and erasers) and effectors (readers) are largely influenced by the availability of metabolites grenerated through one-carbon metabolism (OCM), the tricarboxylic acid (TCA) cycle, and acetyl-CoA synthesis (ACS). In this study we examined the expression of epigenetic and metabolic genes to investigate their interplay in cholangiocarcinoma (CCA). Method: We examined 257 epigenetic genes (EpiGs), 96 metabolic genes (MGs), and 189 rate-limiting enzymes (RLEs) in transcriptomic data from iCCA, eCCA, CCA organoids, and normal bile ducts, alongside prognostic signatures. CRISPR-Cas9 DepMap data evaluated the impact of EpiGs and MGs on cell viability. HuCCT-1 iCCA cells were exposed to hypoxia (1% O₂, 24 h) to assess EpiG responses. Transcriptomic deconvolution characterized EpiGs, MGs, and RLEs expression across four tumor microenvironment (TME) subtypes. Two mouse CCA models (Akt/TAZ, Akt/NICD) underwent RNA-seq, complemented by multi-omic profiling (transcriptomic, proteomic, metabolomic) in Akt/TAZ livers. Results: Several EpiGs were upregulated in iCCA and eCCA, including writers (DNMT1, EZH2, SUZ12), readers (CBX3, PHF20L1, SMARCA4), and erasers (HDAC1, HDAC3, KDM5C). MGs in OCM, TCA, and ACS pathways were dysregulated (up: GART, IDH2, TYMS; down: ALDH1L1, MAT1A, SHMT1). Integrated analyses identified 27 EpiGs and 8 MGs whose overexpression predicted poor survival. Subsets of EpiGs, MGs, and RLEs were linked to proliferative, high-recurrence iCCA subclasses. CRISPR screens highlighted 50 EpiGs and 23 MGs essential for CCA viability. Tumor microenvironment (TME) analyses revealed distinct immune-stromal subclasses with coherent epigenetic-metabolic signatures. In CCA cells, hypoxia induced epigenetic programs that mirrored those in CCA patients. Transcriptomic analyses in human and multi-omic analyses (transcriptomic, metabolomic, and proteomic studies) in mouse CCA livers highlighted rewiring of nucleotide, one-carbon, lipid, and mitochondrial pathways, with evidence of metabolic-epigenetic crosstalk. Conclusion: EpiGs and MGs are markedly altered in both human and experimental CCA, with several changes particularly enriched in aggressive molecular subclasses associated with poor prognosis. We observed substantial rewiring of epigenetic cofactor-related MG expression in CCAs. Functional assays validated new targets among EpiGs (e.g. CBX3, CHD4, DEK, SMARCA4, and TRIM28) and MGs (TYMS and IDH2) in CCA.

Aging is a major unmodifiable risk factor for cardiovascular disease (CVD). Replicative endothelial senescence (RES), characterized by permanent cell-cycle arrest and a senescence-associated secretory phenotype (SASP), is a hallmark of vascular aging. However, the molecular mechanisms underlying RES, particularly the role of extracellular vesicles (EVs), remain poorly understood. To this aim, an integrated multi-omics approach (proteomics, mRNA, and miRNA profiling) was applied to characterize senescent and early-passage human umbilical vein endothelial cells (HUVECs) and their secreted EVs. Senescent HUVECs and EVs displayed a canonical senescence profile, including cell-cycle arrest, DDR activation, NF-κB signaling, and SASP induction, alongside marked suppression of RNA metabolism, ribosome biogenesis, and DNA repair. Multi-omics integration has linked endothelial senescence to vascular aging, maladaptive angiogenesis, and ECM remodeling, which are key processes in CVD development. Moreover, senescent EVs propagate senescence by exporting fewer reparative and antioxidant factors while carrying pro-fibrotic, adipogenic, and angiogenic mediators. Multi-omics profiling revealed consistent transcript–protein changes in senescent cells and EVs, defining a robust molecular signature of RES, including endothelial cell-specific markers and post-transcriptional regulators (lncRNAs and miRNAs). Among these, miR-22-3p and miR-126-5p emerged as key modulators in both cells and EVs, with miR-22-3p demonstrating compartment-specific regulation. Integration further uncovered a coordinated regulatory network involving miRNAs (miR-23, miR-335-3p, miR-29 family, miR-590-3p, and miR-126-5p) that were inversely correlated with transcription factors (e.g., REST, KLFs, and ZNFs) and downstream targets, collectively driving endothelial senescence through impaired PI3K–Akt signaling. Although further validation is needed, these findings provide new insights into the molecular mechanisms of RES and open perspectives for modulating secondary senescence and age-related vascular diseases.

Somatic embryogenesis (SE) involves the formation of embryo-like structures from somatic cells without fertilization and is widely used for clonal propagation and genetic transformation. However, in olive (Olea europaea sp. europaea), SE remains challenging due to the recalcitrant behavior of adult tissues when used as initial explants. Bioactive molecules released into the culture medium (conditioned medium, CM) by embryogenic cultures have been identified as modulators of the SE response. However, their potential role in enhancing SE efficiency in olive and overcoming tissue recalcitrance remains largely unexplored. To investigate the role of these biomolecules in olive SE, a protocol was established using SE cultures of cv. ‘Galega Vulgar’. Proteins and metabolites were separated by filtration, concentrated through lyophilization, and precipitated using three methods: Acetone, TCA/Acetone, and Methanol/Chloroform. The efficiency of these methods was evaluated through total protein quantification and via SDS-PAGE electrophoresis. LC-MS/MS was employed to analyze secretome composition using the TCA/Acetone precipitation method. Additionally, metabolite profiles were analyzed using ¹H NMR spectroscopy. The results led to the identification of 1096 (526 protein groups) Olea europaea proteins, including well-known SE biomarkers such as kinases and peroxidases. NMR spectroscopy identified several metabolites secreted into the medium or resulting from the metabolic activity of secreted enzymes, confirming the applicability of the procedure. Although extracting secreted biomolecules from the culture medium presents significant challenges, the protocol established in this study successfully enabled the isolation and identification of both proteins and metabolites, revealing a valuable workflow for future in-depth analyses of secreted biomolecules in olive SE.

Withdrawal Statement: The authors have withdrawn this manuscript because they have identified errors in the western blots in Figures 1B, C, and G, as well as in Figure 2 A and B. Therefore, the authors do not wish this work to be cited as reference for the project. If you have any questions, please contact the corresponding author.

CD137 (4-1BB) is a member of the TNFR family that mediates potent T cell costimulatory signals upon ligation by CD137L or agonist monoclonal antibodies (mAbs). CD137 agonists attain immunotherapeutic antitumor effects in cancer mouse models, and multiple agents of this kind are undergoing clinical trials. We show that cIAP1 and cIAP2 are physically associated with the CD137 signaling complex. Moreover, cIAPs are required for CD137 signaling toward the NF-κB and MAPK pathways and for costimulation of human and mouse T lymphocytes. Functional evidence was substantiated with SMAC mimetics that trigger cIAP degradation and by transfecting cIAP dominant-negative variants. Antitumor effects of agonist anti-CD137 mAbs are critically dependent on the integrity of cIAPs in cancer mouse models, and cIAPs are also required for signaling from CARs encompassing CD137’s cytoplasmic tail.

The existence of sex differences in disease incidence is attributed, in part, to sex differences in metabolism. Uncovering the precise mechanism driving these differences is an extraordinarily complex process influenced by genetics, endogenous hormones, sex-specific lifetime events, individual differences and external environmental/social factors. In fact, such differences may be subtle, but across a life span, increase susceptibility to a pathology. Whilst research persists in the hope of discovering an elegant biological mechanism to underpin sex differences in disease, here, we show, for the first time, that such a mechanism may be subtle in nature but influenced by multiple sex-specific factors. A proteomic dataset was generated from a gonadectomized mouse model treated with Tibolone, a menopausal hormone therapy. Following functional enrichment analysis, we identified that Alzheimer’s disease and the electron transport chain-associated pathways were regulated by sex-hormone interactions. Specifically, we identified that the expression of three respirasome proteins, NDUFA2, NDUFA7 and UQCR10, is significantly altered by compounding factors that contribute to sex differences. These proteins function in bioenergetics and produce reactive oxygen species, which are each dysregulated in many diseases with sex differences in incidence. We show sex-specific reprogrammed responses to Tibolone following gonadectomy, which primarily influence the expression of proteins contributing to metabolic pathways. This further infers that metabolic differences may underpin the observed sex differences in disease, but also that hormone therapy research now has potential in exploring sex-specific interventions to produce an effective method of prevention or treatment.

Oxidative stress is defined as an unbalance between pro-oxidants and antioxidants, as evidenced by an increase in reactive oxygen and reactive nitrogen species production over time. It is important in the pathophysiology of retinal disorders such as diabetic retinopathy, age-related macular degeneration, retinal detachment, and proliferative vitreoretinopathy, which are the focus of this article. Although the human organism’s defense mechanisms correct autoxidation caused by endogenous or exogenous factors, this may be insufficient, causing an imbalance in favor of excessive ROS production or a weakening of the endogenous antioxidant system, resulting in molecular and cellular damage. Furthermore, modern lifestyles and environmental factors contribute to increased chemical exposure and stress induction, resulting in oxidative stress. In this review, we discuss the current information about oxidative stress and the vitreous proteome with a special focus on vitreoretinal diseases. Additionally, we explore therapies using antioxidants in an attempt to rescue the body from oxidation, restore balance, and maximize healthy body function, as well as new investigational therapies that have shown significant therapeutic potential in preclinical studies and clinical trial outcomes, along with their goals and strategic approaches to combat oxidative stress.

One of the critical issues to warrant the success of a proteome-wide analysis is sample preparation. Efficient protein extraction in the absence of interferent material is mandatory to achieve an ample proteome coverage by mass spectrometry. The study of biological fluids is always challenging due to their specific biochemical composition. However, there is increasing interest in their characterization as it will provide proteins that may advice disease setting, state, and progression. In particular, bile is proximal to liver and pancreas, and its study is especially attractive since it might provide valuable information for the clinical management of severe diseases afflicting these organs, which are at an urgent need of new biomarkers. Though previous efforts have been made to optimize protocols to analyze bile proteome, only partial descriptions were achieved due to its complex composition, where proteins represent less than 5% of the organic components. Here we describe a new method that significantly increases the bile proteome coverage while reducing by a factor of six the amount of sample required for the proteomic analysis.