MétaCan
Menu
← Back to cohort

Activation of PACAP expression in mouse RTN neurons at birth protects postnatal breathing

2020· article· en· W3017146180 on OpenAlexaff
Yingtang Shi, Daniel S. Stornetta, Robert Reklow, Alisha Sahu, Yvonne Wabara, Ashley Nguyen, Keyong Li, Yong Zhang, Edward Perez‐Reyes, Rachel Ross, Bradford B. Lowell, Ruth L. Stornetta, Gregory D. Funk, Patrice G. Guyenet, Douglas A. Bayliss

Bibliographic record

VenueThe FASEB Journal · 2020
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience of respiration and sleep
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsBrainstemEndocrinologyInternal medicineVentilation (architecture)BiologyPituitary adenylate cyclase-activating peptideCarotid bodyControl of respirationRespiratory systemNeuroscienceGene knockdownChemoreceptorNeuropeptideMedicineStimulationVasoactive intestinal peptideReceptorGene

Abstract

fetched live from OpenAlex

The brainstem systems that regulate breathing are established prenatally but they remain immature and vulnerable to failure at the time of birth; this reflects, in part, underdevelopment of the respiratory chemosensory systems that typically monitor blood gases (O2, CO2) to regulate breathing. In the mouse retrotrapezoid nucleus (RTN), Phox2b‐expressing respiratory chemoreceptor neurons are a nexus for integration of multiple respiratory‐related inputs, homeostatically regulating blood gases by providing CO2‐modulated drive to brainstem respiratory rhythm generator and pre‐motor circuits. In this work, we demonstrate that postnatal expression of a neuropeptide in chemosensitive RTN neurons is precisely tuned to influence breathing at the time of birth. First, by using single cell qRT‐PCR and multiplex in situ hybridization, we define a striking postnatal burst of pituitary adenylate cyclase‐activating peptide (PACAP) expression in RTN neurons that is activated in neonates within minutes of exposure to the external environment. Further, by using whole body plethysmography, we show that mouse pups (P2‐P12) lacking PACAP in Phox2b neurons (Phox2b::Cre;PACAP fl/fl ) have severely blunted CO2‐stimulated ventilation (reduced by >50%) and a striking ~3‐fold greater incidence of apneic episodes. PACAP expression in RTN neurons persists into adulthood, albeit at apparently lower levels. PACAP deletion/depletion in adult RTN neurons (in Phox2b::Cre;PACAP fl/fl mice or by shRNA‐mediated knockdown) also depresses CO2‐regulated breathing (by ~30–40%) and increases apneas (~3‐fold), while viral‐mediated re‐expression of PACAP in RTN neurons corrects these deficits. After PACAP knockdown in RTN, CO2‐dependent Fos expression was retained in RTN neurons but decreased in cells of the preBötzinger complex (preBötC), which contains respiratory rhythm‐generating neurons targeted by the RTN. Consistent with the preBötC as a site of action for RTN‐derived PACAP, we show that: 1) the PACAP receptor, PAC1, is expressed in preBötC; 2) PACAP injection directly into the preBötC stimulated central respiratory output, both in vitro and in vivo; and 3) shRNA‐mediated depletion of PAC1 in the preBötC phenocopied breathing deficits observed with RTN deletion of PACAP. Notably, PACAP variants are associated with sudden infant death syndrome (SIDS), and with a SIDS‐like phenotype in PACAP‐null mice. Collectively, these data demonstrate that well‐timed PACAP expression by RTN neurons protects the developmentally immature respiratory control system from hypoventilation and potentially dangerous apneas at birth, and identifies key molecular components of a circuit that supports breathing at this particularly vulnerable period in life. Support or Funding Information R01 HL108609; R01 HL074011

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.046
GPT teacher head0.266
Teacher spread0.220 · 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 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".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueThe FASEB Journal→Same topicNeuroscience of respiration and sleep→French-language works237,207→