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cloud-based trinetx analytics network platform  (TriNetX Inc)

 
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    TriNetX Inc cloud-based trinetx analytics network platform
    Cloud Based Trinetx Analytics Network Platform, supplied by TriNetX Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/network-based+analytics/cloud+based+trinetx+analytical+platform/pmc09073984-80-3-4
    Average 90 stars, based on 1 article reviews
    cloud-based trinetx analytics network platform - by Bioz Stars, 2026-11
    90/100 stars

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    Medications:

    Article Title: ESPE 2024 Abstracts.
    Article Snippet: Guest Editor Professor Mehul Dattani Professor of Paediatric Endocrinology Genetics & Genomic Medicine Dept UCL GOS Institute of Child Health m.dattani@ucl.ac.uk Programme Organising Committee Peter Kühnen, Germany, Chair Mehul Dattani, UK, Annual Meeting Host 2024 Poonam Dharmaraj, UK, Annual Meeting Vice Host 2024 Hussain Alsaffar, Iraq Jacques Beltrand, France Stefano Cianfarani, Italy Sasha Howard, UK Anders Juul, Denmark Ola Nilsson, Sweden Rachel Reynaud, France Anne Rochtus, Belgium Malgorzata Wasniewska, Italy Ram Weiss, Israel Local Organising Committee John Achermann Faisal Ahmed Assunta Albanese Sabah Alvi nloaded from http://karger.com /hrp/article-pdf/97/Suppl.. 3/1/4290076/000541189.pdf by guest on 24 M ay 2025 Jo Blair Tim Cheetham Moira Cheung Peter Clayton Liz Crowne Justin Davies Evelien Gevers Hoong Wei Gang Helena Gleeson Ritika Kapoor Nils Krone Rod Mitchell Ken Ong Tabatha Randell Senthil Senniappan Suma Uday Rachel Williams Reviewers Saygin Abali, Turkey John Achermann, UK Chizo Agwu, UK S. Faisal Ahmed, UK Sabah Alvi, UK Jessica Arditi, Greece Ivo Arnhold, Brazil Laura Audi, Spain María Cristina Azcona San Julián, Spain Indi Banerjee, UK Federico Baronio, Italy Vicente Barrios, Spain Anu Bashamboo, France Tadej Battelino, Slovenia Susanne Bechtold-Dalla Pozza, Germany Gerhard Binder, Germany Carla Bizzarri, Italy Ece Bober, Turkey Hugo Boquete, Argentina Cécile Brachet, Belgium Raja Brauner, France Nicola Bridges, UK Atilla Buyukgebiz, Turkey Núria Camats-Tarruella, Spain Toby Candler , UK Marco Cappa, Italy Alessandra Cassio, Italy Lidia Castro Feijoo, Spain Ayse Nurcan Cebeci, Germany Semra Çetinkaya, Turkey Evangelia Charmandari, Greece Francesco Chiarelli, Italy Valentina Chiavaroli, Italy George Chrousos, Greece Stefano Cianfarani, Italy Hedi Claahsen, Netherlands Peter Clayton, UK Martine Cools, Belgium Regis Coutant, France Margarita Craen, Belgium Elizabeth Crowne , UK Mehul Dattani, UK Justin Davies, UK Carine de Beaufort, Luxembourg Luisa de Sanctis, Italy Jean de Schepper, Belgium Liat de Vries, Israel Francis de Zegher, Belgium Cheri Deal, Canada Ralph Decker , Germany Maurizio Delvecchio, Italy Korcan Demir, Turkey Poonam Dharmaraj, UK Son Do Tien, Vietnam Cristina Dumitrescu, Romania Nancy Elbarbary , Egypt Charlotte Elder, UK Oya Ercan, Turkey Martijn Finken, Netherlands Danilo Fintini, Italy Christa Flück, Switzerland Elke Fröhlich-Reiterer, Austria Alfonso Galderisi, Italy Hoong-Wei Gan, UK Aneta Gawlik-Starzyk, Poland Evelien Gevers, UK Eleni Giannopoulou, Germany Inge Gies, Belgium David Gillis, Israel Dinesh Giri, UK Tulay Guran, Turkey Rasha Hamza, Egypt Sabine Hannema, Netherlands Gabriele Hartmann, Austria Olaf Hiort, Germany Hilary Hoey, Ireland Wolfgang Högler, Austria Reinhard Holl, Germany Sasha Howard, UK Angela Huebner, Germany D ow nloaded from http://karger.com /hrp/article-pdf/97/Suppl.. 3/1/4290076/000541189.pdf by guest on 24 M ay 2025 Lourdes Ibañez, Spain Violeta Iotova, Bulgaria Lorenzo Iughetti, Italy Anders Juul, Denmark Clemens Kamrath, Germany Christina Kanaka-Gantenbein, Greece Ritika Kapoor, UK Anne-Marie Kappelgaard, Denmark Zacharoula Karabouta, UK Feneli Karachaliou, Greece Maria Karantza, Greece Beate Karges, Germany Harshini Katugampola, UK Marlies Kempers, Netherlands Per Kjærsgaard, Denmark Maria Klatka, Poland Philippe Klee, Switzerland Mikael Knip, Finland Ioanna Kosteri, Greece Ioanna Kosteria, Greece Eirini Kostopoulou, Greece Primoz Kotnik, Slovenia Nils Krone, UK Anitha Kumaran , UK Hilton Kuperman, Israel Svetlana Lajic, Sweden Risto Lapatto, Finland James Law, UK Juliane Leger, France Dong Li, USA Mary Limbe, Kenya Sandro Loche, Italy Angela Lucas-Herald, UK Elena Lundberg, Sweden Adrian Lungu, Romania Melania Manco, Italy Laetitia Martinerie, France Sofia A. Martins, Portugal Ken McElreavey, France Veronica Mericq, Chile Maria Francesca Messina, Italy Louise Metherell, UK Bradley Miller, USA Rod Mitchell, UK Agota Muzsnai, Hungary Noriyuki Namba, Japan Marek Niedziela, Poland Ola Nilsson, Sweden Anna Nordenström, Sweden Ken Ong, UK Makoto Ono, Japan Amit Pandey, Switzerland Amanda Peacock , UK Stefania Pedicelli, Italy Rebecca Perry, Canada Catherine Peters, UK Roland Pfäffle, Germany Joachim Pohlenz, Germany Michel Polak, France Rathi Prasad, UK Stepanka Pruhova, Czechia Beata Pyrżak, Poland Adalbert Raimann, Austria Taneli Raivio, Finland Tabitha Randell, UK Rodolfo Rey, Argentina Rachel Reynaud, France Alexsandra Ribeiro, Brazil Annette Richter-Unruh, Germany Stefan Riedl, Austria Alan Rogol, USA Mariacarolina Salerno, Italy M. Constantine Samaan, Canada Vrinda Saraff, UK

    other:

    Article Title: Serotonergic antidepressants are associated with increased acute bleeding events following femur fracture fixation: A nationwide matched cohort analysis of 5,477 patients.
    Article Snippet: Introduction: Serotonergic antidepressants, including both selective serotonin reuptake inhibitors (SSRIs) and serotonin-norepinephrine reuptake inhibitors (SNRIs) have been linked to adverse outcomes following orthopedic procedures.. This study aims to evaluate the impact of SSRIs/SNRIs on outcomes in patients following operative fixation of the femur.. We hypothesized that perioperative use of SSRIs would be associated with worse outcomes post-surgery.

    Article Title: Obesity is Associated with Increased Risk of New-Onset Chronic Rhinosinusitis: A United States Population-Based Cohort Study.
    Article Snippet: Objective.. The aim of this study was to determine the risk of a new-encounter diagnosis of unspecified chronic rhinosinusitis (CRS), CRS with nasal polyps (CRSwNP), and eosinophilic granulomatosis with polyangiitis (EGPA) 1 and 2 years following body mass index (BMI) classification of obesity utilizing a large-population-based analytics platform.. Study Design.

    Article Title: Increased Risk of Dermatomyositis in Patients with Psoriasis: A Retrospective Cohort Study
    Article Snippet: Statistical analyses were conducted using the built-in tools of the TriNetX platform.

    Article Title: Microbiota-derived PPAR-γ signaling and risk of bacterial enteric infection: insight from thiazolidinedione users in a US population-based study
    Article Snippet: To investigate, we used the cloud-based TriNetX Analytics Platform which aggregates health records from 117 million patients across 66 US healthcare organizations, to assess the risk of bacterial enteric infection among diabetic patients prescribed thiazolidinediones, a class of PPAR-γ agonists.



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    Image Search Results


    Proteomic analysis in the insoluble fraction of α-syn PFF treated M83 neurons. A M83 neurons treated with α-syn PFFs or PBS for 14± 1 and 21± 1 days were sequentially extracted with 1% Triton X-100 followed by 2% SDS. Western blot analysis showed significant enrichment of pS129 α-syn in the Triton X-100 insoluble fraction from PFF treated neuron samples. With PBS treatment, α-syn was extracted in 1% Triton X-100 fraction. B Insoluble fractions analyzed by Mass spectrometry identified 92 proteins that were changed in the total proteome with PFF treatment at logFC cutoff of ≥ 0.25. An enrichment analysis using metascape for these 92 proteins was performed, which identified membrane/vesicle trafficking, autophagy, endocytosis, and exocytosis mechanisms. C Based on a stringent cutoff of 0.999 in CPDB, a first order network of these 92 proteins including 1640 proteins and 4,738 interactors was generated. Based on this, a zero-order network was established using the internally developed network-based visual analytics tool to identify enriched pathways which are shown in the figure. The most enriched pathways in this network included the mitochondrial pathway, translation, ubiquitin related, lysosome, unfolded protein response, vesicle trafficking and mRNA splicing

    Journal: Molecular Brain

    Article Title: Broad proteomics analysis of seeding-induced aggregation of α-synuclein in M83 neurons reveals remodeling of proteostasis mechanisms that might contribute to Parkinson’s disease pathogenesis

    doi: 10.1186/s13041-024-01099-1

    Figure Lengend Snippet: Proteomic analysis in the insoluble fraction of α-syn PFF treated M83 neurons. A M83 neurons treated with α-syn PFFs or PBS for 14± 1 and 21± 1 days were sequentially extracted with 1% Triton X-100 followed by 2% SDS. Western blot analysis showed significant enrichment of pS129 α-syn in the Triton X-100 insoluble fraction from PFF treated neuron samples. With PBS treatment, α-syn was extracted in 1% Triton X-100 fraction. B Insoluble fractions analyzed by Mass spectrometry identified 92 proteins that were changed in the total proteome with PFF treatment at logFC cutoff of ≥ 0.25. An enrichment analysis using metascape for these 92 proteins was performed, which identified membrane/vesicle trafficking, autophagy, endocytosis, and exocytosis mechanisms. C Based on a stringent cutoff of 0.999 in CPDB, a first order network of these 92 proteins including 1640 proteins and 4,738 interactors was generated. Based on this, a zero-order network was established using the internally developed network-based visual analytics tool to identify enriched pathways which are shown in the figure. The most enriched pathways in this network included the mitochondrial pathway, translation, ubiquitin related, lysosome, unfolded protein response, vesicle trafficking and mRNA splicing

    Article Snippet: Visualization of this network containing 1328 proteins and 3621 interactions using internally developed network-based visual analytics tool identified modules involved in proteostasis.

    Techniques: Western Blot, Mass Spectrometry, Membrane, Generated, Ubiquitin Proteomics