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Enregistrement W2740188901 · doi:10.1113/jp274880

A sensible approach to making sense of oxygen sensing

2017· letter· en· W2740188901 sur OpenAlexafffundabout
Colin A. Nurse

Notice bibliographique

RevueThe Journal of Physiology · 2017
Typeletter
Langueen
DomaineEnvironmental Science
ThématiquePhysiological and biochemical adaptations
Établissements canadiensMcMaster University
Organismes subventionnairesNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health Research
Mots-clésCarotid bodyGlomus cellBiologyHypoxia (environmental)TranscriptomeNeuroscienceCell typeCatecholaminergicCell biologyGeneCellGene expressionChemistryGeneticsElectrophysiologyOxygen

Résumé

récupéré en direct d'OpenAlex

The ability to sense and respond appropriately to low (hypoxia) is critical for the survival of aerobic organisms. In mammals, the carotid body is the prototypic detector of blood and maintains homeostasis in the cardiorespiratory system. The signalling mechanisms that mediate chemotransduction have attracted much attention but still remain controversial. In a comprehensive and compelling study published in this issue of The Journal of Physiology, Gao et al. (2017) use a comparative gene-profiling approach to identify signature features likely to play key roles in acute sensing. The carotid body, strategically located at the carotid bifurcation, is a richly vascularized organ consisting of innervated clusters of catecholaminergic glomus cells, i.e. the main chemoreceptive elements, enveloped by glial cell processes. Over the last ∼30 years, a consensus has emerged that acute hypoxia causes glomus cell depolarization via K+ channel inhibition, leading to voltage-gated Ca2+ entry and neurotransmitter release. However, the search for the sensor has long attracted much attention and controversy, though the 'metabolic hypothesis' that invokes a key role of components of the mitochondrial electron transport chain (ETC) has received considerable support (Buckler, 2015; Fernandez-Aguera et al. 2015). Several recent studies using transgenic models (Fernandez-Aguera et al. 2015) and transcriptome analysis of single mouse glomus cells (Zhou et al. 2016) have shed new light on potential signature features of acute O2 sensing. In this new study, Gao et al. (2017) used a subtractive strategy to identify unique genes relevant to O2 sensing. They compared gene expression profiles among three catecholaminergic cell types that have a common embryonic lineage but display different sensitivities. In particular, they examined carotid body glomus cells that are exquisitely O2 sensitive, adrenal chromaffin cells that are weakly-to-moderately sensitive, and sympathetic neurons of the superior cervical ganglion (SCG) that are hypoxia insensitive. Using microarrays, real-time quantitative PCR and immunocytochemical analyses of tissues/cells from adult mice, they compared expression patterns in the carotid body and adrenal gland relative to the SCG. Because these organs contain several cell types besides tyrosine hydroxylase (TH)-positive sympathoadrenal cells, the authors included an elegant and crucial control. They validated potentially relevant genes using qPCR analysis of sorted, fluorescently labelled cells obtained from TH–green fluorescent protein transgenic mice. In glomus cells, the authors confirmed high relative expression of certain genes, previously identified in the single cell transcriptome study (Zhou et al. 2016), including hypoxia inducible factor (HIF)-2α and mitochondrial ETC subunits, namely cytochrome c oxidase subunit IV isoform 2 (Cox4i2) and NADH dehydrogenase (ubiquinone) 1 α subcomplex, 4-like 2 (Ndufa4l2). A new finding was that another atypical ETC subunit, Cox8b, was also upregulated. Interestingly, these same genes were upregulated in adrenal chromaffin cells, and Cox4i2 and Ndufa4l2 are known to be HIF-regulated genes during chronic hypoxia. Of particular interest, they observed that Phd3, a member of the prolylhydroxylase family that preferentially hydroxylates HIF-2α and targets it for proteosomal degradation, was robustly downregulated in O2-sensitive cells. This finding, together with the downregulation of transporters/enzymes that regulate cytoplasmic α-ketoglutarate, a cofactor for the hydroxylation reaction, provides a plausible explanation for the high basal levels of HIF-2α in O2-sensitive sympathoadrenal cells. The authors also examined genes involved in pyruvate metabolism and the TCA cycle. Their analysis revealed an induction of pyruvate carboxylase (Pcx) together with decreased expression of a pyruvate dehydrogenase subunit (Pdha1) in glomus cells. These data suggest a preferential use of pyruvate to generate oxaloacetate and replenish TCA intermediates. They also fit nicely with the presence of high levels of biotin (a cofactor for carboxylase reactions) and succinate in cells responding acutely to hypoxia, as well as the proposed accumulation of reduced quinone (QH2) to generate increased ROS and pyridine nucleotides for signalling membrane ion channels (Fernandez-Aguera et al. 2015). The study also highlighted particular ion channels linked to acute O2 sensing. TASK channel subunits (particularly TASK3) that comprise the O2-sensitive TASK1/3 background K+ channels in glomus cells (Buckler, 2015) were overexpressed in glomus and adrenal chromaffin cells. Also, T-type (Cav3.2) Ca2+ channels, known to facilitate hypoxia sensitivity in both cell types, were overexpressed. Though Trpc5 was also overexpressed, its physiological role remains unknown. Surprisingly, Kcnj11 subunits (Kir6.2) of KATP channels that are under transcriptional control by HIF-2α and regulate O2 sensitivity in chromaffin cells (Salman et al. 2014) failed to show differential regulation among the three tissues. However, because rodent chromaffin cells are particularly O2 sensitive in the neonatal period, and show markedly depressed sensitivity in the adult following innervation, a comparative gene expression profile of neonatal chromaffin cells should prove a useful complement to this study. In summary, this influential paper by Gao et al. (2017) has provided novel insight into potential markers likely to convey O2 sensitivity in chemoreceptor cells. It reveals the Phd3–HIF-2α couple linked to upregulation of three atypical mitochondrial ETC subunits, Pcx, and a few ion channels as attractive candidates for conferring acute O2 sensitivity. Of note, the gene for the putative 'lactate receptor' recently proposed as the carotid body O2 sensor, Olfr78, was upregulated in glomus cells but markedly downregulated in adrenal chromaffin cells, questioning its significance as a major determinant of acute O2 sensing. The study also serves as a reminder that the holy grail for acute sensing may not reside exclusively in a single molecular entity, but rather in the cooperative interaction among several players that confer a 'signature metabolic profile'. How these components, acting together, render glomus cell mitochondria exquisitely sensitive to acute hypoxia remains an exciting challenge for the future. The author declares no competing interests. Funding to the author's laboratory was provided by the Canadian Institutes of Health Research and the Natural Sciences and Engineering Research Council of Canada.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,006
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,014
Score d'incertitude au seuil0,045

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,006
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0020,009
Communication savante0,0050,007
Science ouverte0,0030,006
Intégrité de la recherche0,0060,013
Charge utile insuffisante (le modèle a refusé de juger)0,0140,008

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,041
Tête enseignante GPT0,258
Écart entre enseignants0,217 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations5
Publié2017
Routes d'admission3
Résumé présentoui

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