Searching for an <i>in vivo</i> site for nascent amyloid fibril formation
Notice bibliographique
Résumé
Research in Alzheimer’s disease (AD), more than in any other amyloid-related diseases, has brought together the concerted efforts of scientists from diverse disciplines. As such, it has advanced our understanding of the in vitro molecular and biochemical parameters required for amyloid fibril formation. Evidence shows that synthetic or recombinant amyloidogenic proteins yield amyloid fibrils in vitro both in physiological and acidic conditions [6,21,23,66,73]. Importantly, addition of amyloid “nucleus” to solutions containing amyloidogenic peptides significantly reduces the lag time and accelerates fibrillogenesis. Mechanistically amyloidogenesis appears to be a nucleation-dependent process [35]. Such an event could conceivably account for relatively robust expansion of amyloid deposition in vivo and thus constitute a central event in the genesis of amyloid-related diseases. However, the question that still remains unanswered is the conditions that might affect nascent amyloid “nucleus” formation in vivo. Clearly, both for the understanding of the biology of amyloidogenesis in vivo and the development of therapeutic strategies, it is essential to understand the conditions and identify the cellular compartment(s) in which nascent amyloid fibrils are formed. Based on in vitro findings,Kelly et al. proposed “acid denaturation pathway” as a fundamental mechanism for amyloidogenesis [34,35]. Experimental evidence supports this concept, particularly the ease with which various amyloid precursor proteins or their cleaved products yield amyloid fibrils in vitro. Some of the examples are light chain of immunoglobulin, transthyretin, various fragments of the Alzheimer amyloid (Aβ) polypeptide, prion protein and serum amyloid A (SAA) etc [6, 21,23,34,35,46,66,73]. Recently, Dobson’s group introduced a more provocative concept of amyloidogenesis [11,27]. Using non-amyloidogenic proteins they were able to generate amyloid fibrils via acid denaturation pathway in vitro and propose that amyloid fibril formation may not be restricted only to certain protein sequences but a property common to many natural polypeptide chains provided that target proteins are exposed to certain “appropriate conditions”. Precise clues to the “appropriate conditions” are unclear at this time and thus a subject of intense investigation. Conceptually, acid conditions in endosomes-lysosomes (EL) in monocytoid cells, simulating the in vitro conditions, have been suggested to provide in vivo one of the requisite conditions for amyloidogenesis [11,27,34, 35]. Other accessory “appropriate conditions”, such as overloading of the EL with amyloidogenic precursor proteins, its partial degradation (although, not fully established in all cases), followed by oxidation may further augment the fibrillogenesis process [2,10,41]. Activated monocytoid cells (macrophage, MA; reticuloendothelial, RE, cells; microglia) can provide some or all of the requisite amyloid inducing conditions in vivo. Our hypothesis on the induction of inflammationassociated AA amyloidosis is that incessant intake of amyloidogenic serum amyloid A (SAA), by MA or RE cells, may cause over-loading of EL and consequently compromise their degradation activities [1,13]. As depicted in Fig. 1, reactive oxygen radicals (ROR) gener-
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,002 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».