MétaCan
Menu
Retour à la cohorte
Enregistrement W3128949102 · doi:10.1111/sji.13027

Obituary: Dr Zoltan A. Nagy (1941–2020)

2021· letter· en· W3128949102 sur OpenAlexaffabout
Peter A. Bretscher, Alexandre Corthay, Zlatko Dembić, Hans‐Georg Rammensee

Notice bibliographique

RevueScandinavian Journal of Immunology · 2021
Typeletter
Langueen
DomaineImmunology and Microbiology
ThématiqueImmune responses and vaccinations
Établissements canadiensUniversity of Saskatchewan
Organismes subventionnairesnon disponible
Mots-clésObituaryClassicsImmunologyBiologyPhilosophyHistoryTheology

Résumé

récupéré en direct d'OpenAlex

We could say that sudden death of Dr Zoltan A. Nagy from COVID-19 on 8 December 2020 (in his 80th year) marks the end of an epoch in immunology. Just a few weeks before he could have gotten a vaccine, and perhaps enjoyed the benefit of the research in which he invested his working zeal and effort, SARS-Cov-2 claimed another victim - an immunologist. Although retired, Zoltan gladly joined in sharing his knowledge with a group of immunologists interested in the conceptual and fundamental aspects of the immune system. Since 2016, Zoltan attended the yearly workshops organized by a group of theoretically inclined scientists (Figure 1), including two of the current associate editors of the Scandinavian Journal of Immunology (A.C. and Z.D.). Zoltan was known for his wit, erudition and clear grasp of issues at hand, and the group (represented by the authors of the obituary) grew fond of him. Let us all remember for what he was known in the past, and what we could learn from his experience. With this essay, we wish to remember Zoltan's accomplishment and achievement. Zoltan Nagy was an immunologist known for his scientific contributions to the genetic organization of the mouse major histocompatibility complex (MHC) and the biological function of both mouse and human MHC (H-2 and HLA). He was also arguably the only well-known research immunologist to have written a book on the history of contemporary immunology, entitled: ‘A History of Modern Immunology: The Path Toward Understanding’.1 Zoltan’s book struck many as an unusually candid and personal account of this history. This characteristic was perhaps because he felt himself, initially at least, to be an outsider. He was trained as a veterinarian at the University of Budapest, and his first job was as a pathologist at the Veterinary Medical Research Institute, of the Hungarian Academy of Science. Being unhappy with such a fate for the rest of his life, he took a leave to become a Member of the Basel Institute of Immunology for two years, from 1974 to 1976. The decision to apply and become a member of the Basel Institute required, as he indicates in his book, considerable braveness, but allowed him to realize his aspirations and overcome his feelings of intimidation. Zoltan had an obvious literary flair, evident to any reader of his History. He invented a character, Dr. G, who is offstage for most of the time, as the author describes advances in the field and briefly who was responsible for these. Dr. G then sometimes appears on stage, in a different print, to give his thoughts on the plausibility and significance of the findings just described, as well as some of the characteristics of the personalities involved. As he said in the introduction of his book, ‘Ideally a scientist is a person who is blessed (or damned) with a restless mind, and an overdose of curiosity, which literally force him/her to keep asking all those What? Why? And How? questions that down-to-earth people only ask in their childhood’. Perhaps the most significant word in this quote is the first, ‘Ideally’. Dr. G muses on the pertinence of the role of various human frailties of various participants in the history of the subject. He thus reflects on the subjective aspects of science, such as how the role of charisma of a proponent affects the acceptability of an idea. Naturally, such a style in turn has its subjective side. Zoltan pays attention primarily to people whom he met and got to know. Zoltan had a deep interest in the philosophy of science. For example, he, through Dr. G, describes in his book ‘two camps with diagonally opposite attitudes to science: one camp could be called “reductionists”, their goal is to extract a concept from the data, and they don’t mind losing details that appear peripheral to the concept. On the other side are the “complicators” who consider every detail equally important, irrespective of whether it seems to make sense or not, as they believe that any data could become the key to solving a problem’.1 Zoltan’s career after the Basel experience attests to the breadth of his aspirations. He was a visiting Associate Professor at Queens University, Ontario, Canada, on a fellowship to do cancer research, for two years (1978-1979). He returned to Europe as Deputy Director of the Max Planck Institute for Biology at Tübingen, under the Directorship of Jan Klein (1979-1982). He then appears to have been inspired to realize the benefits of basic research for the well-being of mankind. He became a Project Leader, Sandoz Pharmaceutical Inc., Basel, Switzerland (1985-1992), then took up a similar post in the Department of Inflammation, Hoffmann-La Roche, Nutley, New Jersey, 1992-1995, and became Head, Department of Immunology, of this organization, in 1995. Scientifically, Zoltan’s early days at Basel and Tübingen were influenced by his ambition to understand how immune responses are controlled. He and his group used the tools of cellular immunology and the variety of inbred mouse strains available to identify genes that control the immune response to various antigens. These contributed to a better understanding of the MHC and their immune response (Ir; ie I-A and I-E in mice, and HLA-DR, HLA-DP and HLA-DQ in human) genes. In particular, Zoltan was the last author of the Nature paper in1981, where the definition of MHC class I and class II was introduced.2 Nowadays, it is common ground, but that Zoltan and Jan Klein were the originators was mainly forgotten. Following the discovery of the T cell receptor (TCR), he became fascinated by the molecular targets of T cell recognition: antigenic peptides in the grooves of the MHC molecules. He was very proud that these peptides and especially the motifs defining their specificity for MHC molecules were identified by his former PhD student (and co-author H-G.R.). Remarkably, H-G.R. returned to the Max Planck Institute in Tübingen as a group leader in 1987 and then worked again in Zoltan's former laboratory. Thus, H-G.R. found himself at the very same place where he learnt so much about the role of MHC in the interaction of antigen with T cells, a field which was muddy at the time Zoltan was in Tübingen. There were many discussions about the nature of T cell recognition of MHC plus antigen, in particular an idea called ‘determinant selection’,3 which essentially meant that MHC somehow binds antigen. Studying the interaction of T cells with antigen in various contexts afforded a better insight into T cell recognition, as the initial event of the immune response. Zoltan and his colleagues contributed to the understanding of the immunodominance of T cell determinants, and the role of in vivo competition between self-peptides and foreign antigens in T cell activation.4-6 Moreover, Zoltan and colleagues showed plasticity of T cell repertoire. Bovine insulin–specific MHC I-Ab–restricted CD4 T cell clones derived from H-2b mice (C57BL6; B6) expressed the TCR V beta 6 gene in a large proportion. Since in (B6 x DBA/2)F1 mice the V beta 6+ T cells are deleted by self-tolerance to Minor lymphocyte stimulating (Mls)-1a antigen, the majority of insulin-specific T cell clones derived from the latter strain (H-2b x H-2d) expressed other V betas without change in their fine specificity. Thus, in a potential autoimmune setting exemplified by the insulin-specific response, the shift in TCR usage caused by self-tolerance to Mls-1a was fully compensated, demonstrating avid T cell repertoire flexibility.7 Further, he and his colleagues investigated the role of HLA-DR in susceptibility to autoimmune diseases. Zoltan and coworkers generated transgenic mice with HLA-DRA-IE alpha and HLA-DRB1*0401-IE beta chimeric genes and demonstrated that a human MHC class II peptide–binding site alone could confer susceptibility to experimental allergic encephalomyelitis, a mouse model for multiple sclerosis.8 Finally, Zoltan pioneered the development of synthetic peptides that could potentially be used as MHC-selective antagonists of antigen presentation in the treatment of autoimmune diseases such as diabetes and rheumatoid arthritis.9, 10 Zoltan’s book was obviously a testament to his experiences as a scientist. Thus, his fascination with the MHC gives the book a slant, and the history he recounts again reflects the people he met and interacted with. However, there is an overriding theme to the book written, it appears, as one looking back over his life. He makes the case, often via Dr G, that the field would be well served if more extensive interactions could be facilitated between those experimentally and theoretically inclined. It was because of this assessment that he was invited to an annual one-week workshop, of similarly inclined individuals, on the foundations of immunology and their pertinence to medicine, initiated in 2016 (Figure 1). The writers of this obituary, with the exception of H-G.R., are members of this workshop. The whole group has published their ideas, discussions and accomplishments as discussion forum articles in the Scand J Immunol over the past several years.11, 12 Data sharing is not applicable to this article as no new data were created or analyzed in this study.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Intégrité de la recherche, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesIntégrité de la recherche
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,385
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0030,007
Charge utile insuffisante (le modèle a refusé de juger)0,0060,001

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 Opus0,013
Tête enseignante GPT0,248
Écart entre enseignants0,235 · 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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

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

Citations0
Publié2021
Routes d'admission2
Résumé présentoui

Explorer davantage

Même revueScandinavian Journal of ImmunologyMême sujetImmune responses and vaccinationsTravaux en français237 207