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Record W2068989178 · doi:10.1242/jeb.036434

LYMPHATICS ASSIST CIRCULATION DURING HYPOXIA

2010· article· en· W2068989178 on OpenAlexaff
Erika J. Eliason

Bibliographic record

VenueJournal of Experimental Biology · 2010
Typearticle
Languageen
FieldMedicine
TopicLymphatic System and Diseases
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsLymphatic systemTissue fluidZebrafishCirculatory systemHypoxia (environmental)Lymphatic vesselAnatomyVertebrateLymphBiologyCatfishLymphatic EndotheliumPathologyMedicineFish <Actinopterygii>CancerChemistryInternal medicineImmunologyOxygenEndocrinology

Abstract

fetched live from OpenAlex

The vertebrate lymphatic system is a network of vessels that collects excess fluid from tissues, delivers the fluid to lymph nodes and then ultimately returns the fluid back to the circulatory system for redistribution. The system plays a critical role in the immune response, fluid balance and the transport of fatty acids. Moreover, the lymphatic system is guilty of transporting cancerous cells throughout the body, spreading cancer to new tissues. As such, many people are interested in studying the lymphatic system to better understand the development and treatment of cancer.Recently, scientists have shown that lymphatic and circulatory vessels are connected in adults. However, the structure and function of these connections, called arterial-lymphatic conduits (ALCs), are unknown. Lasse Dahl Ejby Jensen from the Karolinska Institute in Stockholm, Sweden, together with colleagues from Sweden and Denmark examined ALCs in zebrafish and glass catfish and studied how hypoxia (low levels of oxygen) affects these connections since cancerous tissue is often hypoxic.The research team used various microscopy techniques to examine the lymphatic system and the structure of the ALCs. Fortunately, zebrafish and glass catfish are completely transparent, so the authors also used video and photography to non-invasively observe the flow of blood and lymphatic fluid. They found that zebrafish and glass catfish have similar lymphatic systems and that ALCs often look like tangled corkscrew-shaped vessels, directly connecting lymphatic to arterial vessels.Next, Jensen and colleagues compared fish exposed to hypoxia with those held in normal oxygen levels in order to better understand the functional relationship between the circulatory and lymphatic systems. Remarkably, the authors found that blood, containing red blood cells, flowed into the lymphatic vessels during hypoxia. This incredible finding suggests that the lymphatic system can act as a back-up for the circulatory system. This is a quick and easy way to ameliorate a hypoxic situation, with the lymphatic system stepping in to expand the circulatory system so that it does not have to grow new blood vessels and make new red blood cells.The authors then wanted to figure out how blood enters the lymphatic system. Again using microscopy and video technology, they observed that during hypoxia, ALCs dilate and straighten, indicating that blood is entering the lymphatic system via the ALCs. Finally, Jensen and colleagues sought to determine which molecular players control this phenomenon. Nitric oxide (NO) is known to act on vascular smooth muscle cells to relax and dilate them. The authors used various chemicals to test whether NO induces the ALCs to relax during hypoxia and found that NO is indeed behind the hypoxia-induced flow of blood into the lymphatic system.Jensen and colleagues have uncovered a new function for the lymphatic system: a back-up circulatory system in times of hypoxia. They demonstrated that ALCs act as gatekeepers for blood flow to the lymphatic system during hypoxia. These gates are controlled by NO, which causes ALCs to relax and straighten, allowing blood to enter. Findings from this study could be used to better understand how cancerous tumours, which can be hypoxic, could enter the lymphatic system from the circulation.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.249
Threshold uncertainty score0.239

Codex and Gemma teacher scores by category

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

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 head0.017
GPT teacher head0.312
Teacher spread0.294 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

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Citations0
Published2010
Admission routes1
Has abstractyes

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