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Record W4387595394 · doi:10.21203/rs.3.rs-2982830/v1

Cosmic Kidney Disease: The Effects of Spaceflight and Galactic Cosmic Radiation on Renal Structure and Function

2023· preprint· en· W4387595394 on OpenAlexaff
Stephen B. Walsh, Keith Siew, Fatemeh Afsari, Maneera Al-Jaber, Noah Allen, Mohammed Al‐Maadheed, Selin Altınok, Shehbeel Arif, Nourdine Bah, Sergio E. Baranzini, Peter Barker, Afshin Beheshti, Elizabeth A. Blaber, Samuel Border, Valery Boyko, Jessica Broni-Tabi, Keith Burling, Robert G. Campbell, Margareth Cheng-Campbell, Chris Cheshire, Lorianna M. Colón, Sylvain V. Costes, Laura Cubitt, Viola D’Ambrosio, Lovorka Degoricija, Amelia J. Eisch, Hossein Fazelinia, Nichola Figg, Rebecca Finch, Jonathan Foox, Alison J. French, Jonathan M. Galazka, Samrawit Gebre, Peter Gordon, Alessandra Grillo, Nadia Houerbi, Hossein Valipour Kahrood, Fathi Karouia, Frederico Kiffer, JangKeun Kim, Aleksandra S. Klosinska, Angela Kubik, Han-Chung Lee, Yinghui Li, Zhongwang Li, Nicholas Lucarelli, Steven Lynham, Anthony L. Marullo, Christopher E. Mason, Irina Matei, Cem Meydan, Sayat Mimar, Vidya Mohamed‐Ali, Masafumi Muratani, Ahmed M. Naglah, Charlotte Nelson, Kevin Nestler, Jérôme Nicod, Kevin M. O’Shaughnessy, Lorraine Christine De Oliveira, Leah Oswalt, Eliah Overbey, Vaksha Patel, Laura Pătraș, San-Huei Lai Polo, Maria Rodríguez‐López, Samuel G. Rodriques, Candice Roufosse, Omid Sadeghi‐Alavijeh, Rebekah Sanchez‐Hodge, Lauren Sanders, Anindya Sankar, Pinaki Sarder, Jonathan C. Schisler, Ralf B. Schittenhelm, Annalise Schweickart, Ryan T. Scott, Dai Shiba, Terry C.C. Lim Kam Sian, Wilian A. Silveira, Hubert Slawinski, Scott M. Smith, Daniel M. Snell, Julio Sosa, Joel R. Steele, Marshall Tabetah, Erwin Tanuwidjaya, Akira Uruno, Michael Vaughan, Simon Walker‐Samuel, Elizabeth R Wan, Masayuki Yamamoto, Xiaoping Yang, Yasmin Yasmin, Sanghee Yun, Haijian Zhang, Zhongquan Dai, Jasminka Zimmermann, Sara R. Zwart, Eduardo Almeida, Chutong Zhong

Bibliographic record

VenueResearch Square · 2023
Typepreprint
Languageen
FieldMedicine
TopicSpaceflight effects on biology
Canadian institutionsUniversity Health Network
FundersMedical Research Council
KeywordsSpaceflightNephronKidneyBiologyNephrotoxicityMedicineEndocrinologyPhysicsAstronomy

Abstract

fetched live from OpenAlex

Abstract Missions into Deep Space are planned this decade. Yet the health consequences of exposure to microgravity and galactic cosmic radiation (GCR) over years-long missions on indispensable visceral organs such as the kidney are largely unexplored. We performed biomolecular (epigenomic, transcriptomic, proteomic, epiproteomic, metabolomic, metagenomic), clinical chemistry (electrolytes, endocrinology, biochemistry) and morphometry (histology, 3D imaging, miRNA-ISH, tissue weights) analyses using samples and datasets available from 11 spaceflight-exposed mouse and 5 human, 1 simulated microgravity rat and 4 simulated GCR-exposed mouse missions. We found that spaceflight induces: 1) renal transporter dephosphorylation which may indicate astronauts’ increased risk of nephrolithiasis is in part a primary renal phenomenon rather than solely a secondary consequence of bone loss; 2) remodelling of the nephron that results in expansion of distal convoluted tubule size but loss of overall tubule density; 3) renal damage and dysfunction when exposed to a Mars roundtrip dose-equivalent of simulated GCR.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.025
GPT teacher head0.352
Teacher spread0.328 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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