Metabolic alterations in urine extracellular vesicles are associated to prostate cancer pathogenesis and progression

Urine contains extracellular vesicles (EVs) that concentrate molecules and protect them from degradation. Thus, isolation and characterisation of urinary EVs could increase the efficiency of biomarker discovery. We have previously identified proteins and RNAs with differential abundance in urinary EVs from prostate cancer (PCa) patients compared to benign prostate hyperplasia (BPH). Here, we focused on the analysis of the metabolites contained in urinary EVs collected from patients with PCa and BPH. Targeted metabolomics analysis of EVs was performed by ultrahigh- performance liquid chromatography-mass spectrometry. The correlation between metabolites and clinical parameters was studied, and metabolites with differential abundance in PCa urinary EVs were detected and mapped into cellular pathways. We detected 248 metabolites belonging to different chemical families including amino acids and various lipid species. Among these metabolites, 76 exhibited significant differential abundance between PCa and BPH. Interestingly, urine EVs recapitulated many of the metabolic alterations reported in PCa, including phosphathidylcholines, acyl carnitines, citrate and kynurenine. Importantly, we found elevated levels of the steroid hormone, 3beta-hydroxyandros-5-en-17-one-3-sulphate (dehydroepiandrosterone sulphate) in PCa urinary EVs, in line with the potential elevation of androgen synthesis in this type of cancer. This work supports urinary EVs as a non-invasive source to infer metabolic changes in PCa.Urine contains extracellular vesicles (EVs) that concentrate molecules and protect them from degradation. Thus, isolation and characterisation of urinary EVs could increase the efficiency of biomarker discovery. We have previously identified proteins and RNAs with differential abundance in urinary EVs from prostate cancer (PCa) patients compared to benign prostate hyperplasia (BPH). Here, we focused on the analysis of the metabolites contained in urinary EVs collected from patients with PCa and BPH. Targeted metabolomics analysis of EVs was performed by ultrahigh- performance liquid chromatography-mass spectrometry. The correlation between metabolites and clinical parameters was studied, and metabolites with differential abundance in PCa urinary EVs were detected and mapped into cellular pathways. We detected 248 metabolites belonging to different chemical families including amino acids and various lipid species. Among these metabolites, 76 exhibited significant differential abundance between PCa and BPH. Interestingly, urine EVs recapitulated many of the metabolic alterations reported in PCa, including phosphathidylcholines, acyl carnitines, citrate and kynurenine. Importantly, we found elevated levels of the steroid hormone, 3beta-hydroxyandros-5-en-17-one-3-sulphate (dehydroepiandrosterone sulphate) in PCa urinary EVs, in line with the potential elevation of androgen synthesis in this type of cancer. This work supports urinary EVs as a non-invasive source to infer metabolic changes in PCa

microRNA-based signatures obtained from endometrial fluid identify implantative endometrium

STUDY QUESTION Is it possible to use free and extracellular vesicle-associated microRNAs (miRNAs) from human endometrial fluid (EF) samples as non-invasive biomarkers for implantative endometrium? SUMMARY ANSWER The free and extracellular vesicle-associated miRNAs can be used to detect implantative endometrium in a non-invasive manner. WHAT IS KNOWN ALREADY miRNAs and extracellular vesicles (EVs) from EF have been described as mediators of the embryo-endometrium crosstalk. Therefore, the analysis of miRNA from this fluid could become a non-invasive technique for recognizing implantative endometrium. This analysis could potentially help improve the implantation rates in ART. STUDY DESIGN, SIZE, DURATION In this prospective study, we first optimized different protocols for EVs and miRNA analyses using the EF of a setup cohort (n = 72). Then, we examined differentially expressed miRNAs in the EF of women with successful embryo implantation (discovery cohort n = 15/validation cohort n = 30) in comparison with those for whom the implantation had failed (discovery cohort n = 15/validation cohort n = 30). Successful embryo implantation was considered when pregnancy was confirmed by vaginal ultrasound showing a gestational sac 4 weeks after embryo transfer (ET). PARTICIPANTS/MATERIALS, SETTING, METHODS The EF of the setup cohort was obtained before starting fertility treatment during the natural cycle, 16-21 days after the beginning of menstruation. For the discovery and validation cohorts, the EF was collected from women undergoing frozen ET on Day 5, and the samples were collected immediately before ET. In this study, we compared five different methods; two of them based on direct extraction of RNA and the other three with an EV enrichment step before the RNA extraction. Small RNA sequencing was performed to determine the most efficient method and find a predictive model differentiating between implantative and non-implantative endometrium. The models were confirmed using quantitative PCR in two sets of samples (discovery and validation cohorts) with different implantation outcomes. MAIN RESULTS AND THE ROLE OF CHANCE The protocols using EV enrichment detected more miRNAs than the methods based on direct RNA extraction. The two most efficient protocols (using polymer-based precipitation (PBP): PBP-M and PBP-N) were used to obtain two predictive models (based on three miRNAs) allowing us to distinguish between an implantative and non-implantative endometrium. The first Model 1 (PBP-M) (discovery: AUC = 0.93; P-value = 0.003; validation: AUC = 0.69; P-value = 0.019) used hsa-miR-200b-3p, hsa-miR-24-3p and hsa-miR-148b-3p. Model 2 (PBP-N) (discovery: AUC = 0.92; P-value = 0.0002; validation: AUC = 0.78; P-value = 0.0002) used hsa-miR-200b-3p, hsa-miR-24-3p and hsa-miR-99b-5p. Functional analysis of these miRNAs showed strong association with key implantation processes such as in utero embryonic development or transforming growth factor-beta signaling. LARGE SCALE DATA The FASTQ data are available in the GEO database (access number GSE178917). LIMITATIONS, REASONS FOR CAUTION One important factor to consider is the inherent variability among the women involved in the trial and among the transferred embryos. The embryos were pre-selected based on morphology, but neither genetic nor molecular studies were conducted, which would have improved the accuracy of our tests. In addition, a limitation in miRNA library construction is the low amount of input RNA. WIDER IMPLICATIONS OF THE FINDINGS We describe new non-invasive protocols to analyze miRNAs from small volumes of EF. These protocols could be implemented in clinical practice to assess the status of the endometrium before attempting ET. Such evaluation could help to avoid the loss of embryos transferred to a non-implantative endometrium. STUDY FUNDING/COMPETING INTEREST(S) J.I.-P. was supported by a predoctoral grant from the Basque Government (PRE_2017_0204). This study was partially funded by the Grant for Fertility Innovation (GFI, 2011) from Merck (Darmstadt, Germany). It was also supported by the Spanish Ministry of Economy and Competitiveness MINECO within the National Plan RTI2018-094969-B-I00, the European Union's Horizon 2020 research and innovation program (860303), the Severo Ochoa Centre of Excellence Innovative Research Grant (SEV-2016-0644) and the Instituto de Salud Carlos III (PI20/01131). The funding entities did not play any role in the study design, collection, analysis and interpretation of data, writing of the report or the decision to submit the article for publication. The authors declare no competing interests.J.I.-P. was supported by a predoctoral grant from the Basque Government (PRE_2017_0204). This study was partially funded by the Grant for Fertility Innovation (GFI, 2011) from Merck (Darmstadt, Germany). The project was also supported by the Spanish Ministry of Economy and Competitiveness MINECO within the national plan RTI2018-094969-B-I00, the European Union's Horizon 2020 research and innovation program (860303), the Severo Ochoa Centre of Excellence Innovative Research Grant (SEV-2016-0644) and the Instituto de Salud Carlos III (PI20/01131). The funding entities did not have any role in study design, sample collection, analysis and interpretation of data, report writing or decision to submit the article for publication

The outcome of boosting mitochondrial activity in alcohol-associated liver disease is organ-dependent.

BACKGROUND AND AIMS Alcohol-associated liver disease (ALD) accounts for 70% of liver-related deaths in Europe, with no effective approved therapies. Although mitochondrial dysfunction is one of the earliest manifestations of alcohol-induced injury, restoring mitochondrial activity remains a problematic strategy due to oxidative stress. Here, we identify methylation-controlled J protein (MCJ) as a mediator for ALD progression and hypothesize that targeting MCJ may help in recovering mitochondrial fitness without collateral oxidative damage. APPROACH AND RESULTS C57BL/6 mice [wild-type (Wt)] Mcj knockout and Mcj liver-specific silencing (MCJ-LSS) underwent the NIAAA dietary protocol (Lieber-DeCarli diet containing 5% (vol/vol) ethanol for 10 days, plus a single binge ethanol feeding at day 11). To evaluate the impact of a restored mitochondrial activity in ALD, the liver, gut, and pancreas were characterized, focusing on lipid metabolism, glucose homeostasis, intestinal permeability, and microbiota composition. MCJ, a protein acting as an endogenous negative regulator of mitochondrial respiration, is downregulated in the early stages of ALD and increases with the severity of the disease. Whole-body deficiency of MCJ is detrimental during ALD because it exacerbates the systemic effects of alcohol abuse through altered intestinal permeability, increased endotoxemia, and dysregulation of pancreatic function, which overall worsens liver injury. On the other hand, liver-specific Mcj silencing prevents main ALD hallmarks, that is, mitochondrial dysfunction, steatosis, inflammation, and oxidative stress, as it restores the NAD + /NADH ratio and SIRT1 function, hence preventing de novo lipogenesis and improving lipid oxidation. CONCLUSIONS Improving mitochondrial respiration by liver-specific Mcj silencing might become a novel therapeutic approach for treating ALD.This work was supported by grants from Ministerio de Ciencia e Innovación, Programa Retos-Colaboración RTC2019-007125-1 (for Jorge Simon and Maria Luz Martinez-Chantar); Ministerio de Economía, Industria y Competitividad, Retos a la Sociedad AGL2017- 86927R (for F.M.); Instituto de Salud Carlos III, Proyectos de Investigación en Salud DTS20/00138 and DTS21/00094 (for Jorge Simon and Maria Luz Martinez-Chantar, and Asis Palazon. respectively); Instituto de Salud Carlos III, Fondo de Investigaciones Sanitarias co-founded by European Regional Development Fund/European Social Fund, “Investing in your future” PI19/00819, “Una manera de hacer Europa” FIS PI20/00765, and PI21/01067 (for Jose J. G. Marin., Pau Sancho-Bru,. and Mario F. Fraga respectively); Departamento de Industria del Gobierno Vasco (for Maria Luz Martinez-Chantar); Asturias Government (PCTI) co-funding 2018-2023/ FEDER IDI/2021/000077 (for Mario F. Fraga.); Ministerio de Ciencia, Innovación y Universidades MICINN: PID2020-117116RB-I00, CEX2021-001136-S PID2020-117941RB-I00, PID2020-11827RB-I00 and PID2019-107956RA-100 integrado en el Plan Estatal de Investigación Científica y Técnica y Innovación, cofinanciado con Fondos FEDER (for Maria Luz Martinez-Chantar, Francisco J Cubero., Yulia A Nevzorova and Asis Palazon); Ayudas Ramón y Cajal de la Agencia Estatal de Investigación RY2013-13666 and RYC2018- 024183-I (for Leticia Abecia and Asis Palazon); European Research Council Starting Grant 804236 NEXTGEN-IO (for Asis Palazon); The German Research Foundation SFB/TRR57/P04, SFB1382-403224013/ A02 and DFG NE 2128/2-1 (for Francisco J Cubero and Yulia A Nevzorova); National Institute of Health (NIH)/National Institute of Alcohol Abuse and Alcoholism (NIAAA) 1U01AA026972-01 (For Pau Sancho-Bru); Junta de Castilla y León SA074P20 (for Jose J. G. Marin); Junta de Andalucía, Grupo PAIDI BIO311 (for Franz Martin); CIBERER Acciones Cooperativas y Complementarias Intramurales ACCI20-35 (for Mario F. Fraga); Ministerio de Educación, Cultura y Deporte FPU17/04992 (for Silvia Ariño); Fundació Marato TV3 201916-31 (for Jose J. G. Marin.); Ainize Pena-Cearra is a fellow of the University of the Basque Country (UPV/ EHU); BIOEF (Basque Foundation for Innovation and Health Research); Asociación Española contra el Cáncer (Maria Luz Martinez-Chantar and Teresa C. Delgado.); Fundación Científica de la Asociación Española Contra el Cáncer (AECC Scientific Foundation) Rare Tumor Calls 2017 (for Maria Luz Martinez-Chantar); La Caixa Foundation Program (for Maria Luz Martinez-Chantar); Proyecto Desarrollo Tecnologico CIBERehd (for Maria Luz Martinez-Chantar); Ciberehd_ISCIII_MINECO is funded by the Instituto de Salud Carlos III.S

Multi-omics integration for biomarker discovery

Los capítulos 5 y 6 están sujetos a confidencialidad por el autor. 235 p.Los estudios de identificación de nuevos biomarcadores reciben una cantidad notable de financiación, pero su éxito es reducido, con solo un 0.1% de los nuevos biomarcadores identificados llegando a implantarse en la práctica clínica rutinaria. Las tecnologías de alto rendimiento (ómicas) permiten la medición de una cantidad muy elevada de variables, facilitando así la posible identificación de nuevos biomarcadores. Los desarrollos tecnológicos más recientes han permitido abaratar sus costes, facilitando así la implantación y globalización de este tipo de estudios. A su vez, esto ha supuesto un incremento en el número de candidatos a biomarcador que no superan las fases de validación, en parte por la falta de protocolos y métodos de análisis estandarizados y robustos para este tipo de datos. En esta tesis, hemos estudiado qué métodos son más eficientes en la identificación de biomarcadores derivados de la combinación de distintas ómicas, principalmente microbioma y metabolómica. Nos hemos centrado en la identificación de nuevos biomarcadores diagnósticos para tres enfermedades con un elevado impacto socioeconómico: el cáncer de próstata, el cáncer colorectal y la fibromialgia. Para todos los potenciales biomarcadores identificados hemos estudiado su robustez y capacidad predictiva mediante una combinación de métodos bioinformáticos y experimentales, para tratar de aportar biomarcadores capaces de superar la fase de validación correspondiente con éxito.CICbioGUNE BioDonosti