{"id":135181,"date":"2024-01-17T06:00:29","date_gmt":"2024-01-17T05:00:29","guid":{"rendered":"https:\/\/semmelweis.hu\/hirek\/?p=135181"},"modified":"2024-01-17T10:30:17","modified_gmt":"2024-01-17T09:30:17","slug":"tudomanyos-hirado-17","status":"publish","type":"post","link":"https:\/\/semmelweis.hu\/hirek\/2024\/01\/17\/tudomanyos-hirado-17\/","title":{"rendered":"Tudom\u00e1nyos h\u00edrad\u00f3 17."},"content":{"rendered":"<div class=\"lead\"><strong>Tudom\u00e1nyos h\u00edrad\u00f3 c\u00edm\u0171 cikksorozatunkban az egyetemhez k\u00f6thet\u0151 D1 min\u0151s\u00edt\u00e9s\u0171 tudom\u00e1nyos k\u00f6zlem\u00e9nyekr\u0151l olvashat\u00f3 r\u00f6vid \u00f6sszefoglal\u00f3. A cikkeket az elm\u00falt id\u0151szak megjelen\u00e9sei alapj\u00e1n a K\u00f6zponti K\u00f6nyvt\u00e1r, illetve a P\u00e1ly\u00e1zati Menedzsment K\u00f6zpont v\u00e1logatta.<\/strong><\/div>\n<h5>Szem\u00e9lyre szabott, genetikai alap\u00fa prognosztikai oszt\u00e1lyoz\u00e1s gyermekkori leuk\u00e9mi\u00e1ban<\/h5>\n<figure id=\"attachment_135285\" aria-describedby=\"caption-attachment-135285\" style=\"width: 400px\" class=\"wp-caption alignleft\"><a href=\"https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/ezgif.com-webp-to-jpg-converted-3.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-135285 size-medium\" src=\"https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/ezgif.com-webp-to-jpg-converted-3-400x348.jpg\" alt=\"\" width=\"400\" height=\"348\" srcset=\"https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/ezgif.com-webp-to-jpg-converted-3-400x348.jpg 400w, https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/ezgif.com-webp-to-jpg-converted-3-900x782.jpg 900w, https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/ezgif.com-webp-to-jpg-converted-3-768x667.jpg 768w, https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/ezgif.com-webp-to-jpg-converted-3-753x654.jpg 753w, https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/ezgif.com-webp-to-jpg-converted-3.jpg 1486w\" sizes=\"auto, (max-width: 400px) 100vw, 400px\" \/><\/a><figcaption id=\"caption-attachment-135285\" class=\"wp-caption-text\">Distribution of cytogenetic subtypes across four risk groups determined based on non-overlapping ranges of patient specific cumulative scores generated from the prognostic value of single genetic lesions.<\/figcaption><\/figure>\n<p>A gyermekkori daganatos megbeteged\u00e9sek egyik leggyakoribb t\u00edpusa a korai B-sejtekb\u0151l kifejl\u0151d\u0151 akut limfoblasztos leuk\u00e9mia. A betegs\u00e9g genetikai h\u00e1ttere v\u00e1ltozatos, ezenk\u00edv\u00fcl az egyes aberr\u00e1ci\u00f3k \u00f6sszet\u00e9tele betegenk\u00e9nt rendk\u00edv\u00fcl elt\u00e9r\u0151 lehet, melyet a jelenleg haszn\u00e1latos rizik\u00f3becsl\u00e9si m\u00f3dszerek nem, vagy csak nagyon korl\u00e1tozott m\u00e9rt\u00e9kben vesznek figyelembe.<\/p>\n<p>A Magyar Gyermekleuk\u00e9mia Molekul\u00e1ris Profiloz\u00e1si Program keret\u00e9ben kidolgoztunk egy olyan koncepcion\u00e1lisan \u00faj megk\u00f6zel\u00edt\u00e9st, amely minden kor\u00e1bbi rendszert\u0151l elt\u00e9r\u0151en az egyes rizik\u00f3csoportokat nem csup\u00e1n valamely kiemelt fontoss\u00e1g\u00fanak tartott genetikai elt\u00e9r\u00e9s vagy elt\u00e9r\u00e9s kombin\u00e1ci\u00f3 alapj\u00e1n hat\u00e1rozza meg. Ehelyett megbecs\u00fcli az \u00f6sszes megjelen\u0151 elt\u00e9r\u00e9s hat\u00e1s\u00e1t a vizsg\u00e1lt betegpopul\u00e1ci\u00f3ban, ez alapj\u00e1n minden aberr\u00e1ci\u00f3hoz egy pontsz\u00e1mot rendel, majd minden betegre szem\u00e9lyre szabott prognosztikai \u00e9rt\u00e9ket sz\u00e1mol az egy\u00fctt megjelen\u0151, j\u00f3 \u00e9s rossz progn\u00f3zissal t\u00e1rsul\u00f3 genetikai elt\u00e9r\u00e9sek s\u00falyoz\u00e1s\u00e1val. A kor\u00e1bbi rendszerekhez k\u00e9pest ezzel a j\u00f3val rugalmasabb \u00e9s prec\u00edzebb m\u00f3dszerrel n\u00e9gy, klinikai d\u00f6nt\u00e9shozatal szempontj\u00e1b\u00f3l is relev\u00e1ns prognosztikai kateg\u00f3ri\u00e1ba siker\u00fclt besorolnunk a leuk\u00e9mi\u00e1s gyermekeket &#8211; \u00edrta \u00f6sszefoglal\u00f3j\u00e1ban dr. Alp\u00e1r Don\u00e1t.<\/p>\n<div class=\"keretes w-100\">\n<p>PersonALL: a genetic scoring guide for personalized risk assessment in pediatric B-cell precursor acute lymphoblastic leukemia<br \/>\nG\u00e1bor Bedics (HCEMM-SE Molecular Oncohematology Research Group, Department of Pathology and Experimental Cancer Research, Semmelweis University), B\u00e1lint Egyed (HCEMM-SE Molecular Oncohematology Research Group, Department of Pathology and Experimental Cancer Research, Semmelweis University; Department of Pediatrics, Semmelweis University), Lili Kotmayer (HCEMM-SE Molecular Oncohematology Research Group, Department of Pathology and Experimental Cancer Research, Semmelweis University), Anne Benard-Slagter (MRC Holland), Karel de Groot (MRC Holland), Anna Bek\u0151 (HCEMM-SE Molecular Oncohematology Research Group, Department of Pathology and Experimental Cancer Research, Semmelweis University), Lajos L\u00e1szl\u00f3 Hegyi (HCEMM-SE Molecular Oncohematology Research Group, Department of Pathology and Experimental Cancer Research, Semmelweis University), Bence B\u00e1tai (HCEMM-SE Molecular Oncohematology Research Group, Department of Pathology and Experimental Cancer Research, Semmelweis University), Szilvia Krizs\u00e1n (HCEMM-SE Molecular Oncohematology Research Group, Department of Pathology and Experimental Cancer Research, Semmelweis University), Gergely Kriv\u00e1n (Central Hospital of Southern Pest &#8211; National Institute of Hematology and Infectious Diseases), D\u00e1niel J. Erd\u00e9lyi (Department of Pediatrics, Semmelweis University), Judit M\u00fcller (Department of Pediatrics, Semmelweis University), Ir\u00e9n Haltrich (Department of Pediatrics, Semmelweis University), B\u00e9la Kajt\u00e1r (Department of Pathology, University of P\u00e9cs Medical School), L\u00e1szl\u00f3 Pajor (Department of Pathology, University of P\u00e9cs Medical School), \u00c1gnes Vojcek (Department of Pediatrics, University of P\u00e9cs Medical School), G\u00e1bor Ott\u00f3ffy (Department of Pediatrics, University of P\u00e9cs Medical School), Anik\u00f3 Ujfalusi (Department of Laboratory Medicine, Faculty of Medicine, University of Debrecen), Istv\u00e1n Szegedi (Division of Pediatric Hematology-Oncology, Institute of Pediatrics, Faculty of Medicine, University of Debrecen), Lilla Gy\u00f6rgyi Tiszlavicz (Department of Paediatrics and Paediatric Health Care Center, Faculty of Medicine, University of Szeged), Katalin Bartyik (Department of Paediatrics and Paediatric Health Care Center, Faculty of Medicine, University of Szeged), Krisztina Csan\u00e1di (Hemato-Oncology Unit, Heim P\u00e1l Children\u2019s Hospital), Gy\u00f6rgy P\u00e9ter (Hemato-Oncology Unit, Heim P\u00e1l Children\u2019s Hospital), R\u00e9ka Simon (Hemato-Oncology and Stem Cell Transplantation Unit, Velkey L\u00e1szl\u00f3 Children\u2019s Health Center), P\u00e9ter Hauser (Hemato-Oncology and Stem Cell Transplantation Unit, Velkey L\u00e1szl\u00f3 Children\u2019s Health Center), \u00c1gnes Kelemen (Hemato-Oncology and Stem Cell Transplantation Unit, Velkey L\u00e1szl\u00f3 Children\u2019s Health Center), Endre Sebesty\u00e9n (HCEMM-SE Molecular Oncohematology Research Group, Department of Pathology and Experimental Cancer Research, Semmelweis University), Zsuzsanna Jakab (Hungarian Childhood Cancer Registry, Hungarian Pediatric Oncology Network), Andr\u00e1s Matolcsy (HCEMM-SE Molecular Oncohematology Research Group, Department of Pathology and Experimental Cancer Research, Semmelweis University; Department of Laboratory Medicine, Karolinska Institute), Csongor Kiss (Division of Pediatric Hematology-Oncology, Institute of Pediatrics, Faculty of Medicine, University of Debrecen), G\u00e1bor Kov\u00e1cs (Department of Pediatrics, Semmelweis University), Suvi Savola (MRC Holland), Csaba B\u00f6d\u00f6r (HCEMM-SE Molecular Oncohematology Research Group, Department of Pathology and Experimental Cancer Research, Semmelweis University), Don\u00e1t Alp\u00e1r (HCEMM-SE Molecular Oncohematology Research Group, Department of Pathology and Experimental Cancer Research, Semmelweis University)<br \/>\nBritish Journal of Cancer volume 129, pages455\u2013465 (2023)<br \/>\n<a href=\"https:\/\/doi.org\/10.1038\/s41416-023-02309-8\" target=\"_blank\" rel=\"noopener\">https:\/\/doi.org\/10.1038\/s41416-023-02309-8<\/a><\/p>\n<\/div>\n<h5>Ter\u00e1pi\u00e1s c\u00e9lpont sikeres kimutat\u00e1sa sz\u00f6vet- \u00e9s folyad\u00e9k-biopszi\u00e1s mint\u00e1k egyidej\u0171 vizsg\u00e1lat\u00e1val follikul\u00e1ris limf\u00f3m\u00e1ban<\/h5>\n<p><a href=\"https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/joim13674-gra-0001-m.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignleft size-medium wp-image-135286\" src=\"https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/joim13674-gra-0001-m-400x400.jpg\" alt=\"\" width=\"400\" height=\"400\" srcset=\"https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/joim13674-gra-0001-m-400x400.jpg 400w, https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/joim13674-gra-0001-m-800x800.jpg 800w, https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/joim13674-gra-0001-m-200x200.jpg 200w, https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/joim13674-gra-0001-m-768x768.jpg 768w, https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/joim13674-gra-0001-m-1536x1536.jpg 1536w, https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/joim13674-gra-0001-m-753x753.jpg 753w, https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/joim13674-gra-0001-m.jpg 2000w\" sizes=\"auto, (max-width: 400px) 100vw, 400px\" \/><\/a>A follikul\u00e1ris limf\u00f3ma (FL) az egyik leggyakoribb B-sejtes limf\u00f3ma. B\u00e1r az FL t\u00fal\u00e9l\u00e9se az elm\u00falt \u00e9vtizedekben jelent\u0151sen javult, tov\u00e1bbra is gy\u00f3gy\u00edthatatlan. A betegs\u00e9g nyomonk\u00f6vet\u00e9s\u00e9ben \u00e9s a ter\u00e1pi\u00e1s strat\u00e9gia megfelel\u0151 fel\u00e1ll\u00edt\u00e1s\u00e1ban izgalmas lehet\u0151s\u00e9gnek \u00edg\u00e9rkezik a kering\u0151 sejtmentes DNS (\u00fan. folyad\u00e9kbiopszia) vizsg\u00e1lata.<\/p>\n<p>A Patol\u00f3giai \u00e9s K\u00eds\u00e9rleti R\u00e1kkutat\u00f3 Int\u00e9zet Molekul\u00e1ris Onkohematol\u00f3gia Kutat\u00f3csoportja egy 123 f\u0151s follikul\u00e1ris limf\u00f3m\u00e1s betegcsoportban vizsg\u00e1lta az FL-ben \u00faj ter\u00e1pi\u00e1s c\u00e9lpontk\u00e9nt szolg\u00e1l\u00f3 EZH2 g\u00e9nmut\u00e1ci\u00f3 gyakoris\u00e1g\u00e1t \u00e9s kimutathat\u00f3s\u00e1g\u00e1t klasszikus sz\u00f6vet, \u00e9s folyad\u00e9k-biopszi\u00e1s mint\u00e1kban. A kutat\u00f3csoport tagjai kifejlesztettek egy egyedi multiplex digit\u00e1lis droplet PCR assay-t, mely seg\u00edts\u00e9g\u00e9vel szimult\u00e1n t\u00f6bb EZH2 mut\u00e1ci\u00f3 is vizsg\u00e1lhat\u00f3 egyid\u0151ben. A vizsg\u00e1lt betegcsoportban az EZH2 mut\u00e1ci\u00f3 gyakoris\u00e1ga 41,5%-nak ad\u00f3dott, ami l\u00e9nyegesen magasabb ar\u00e1ny mint a nemzetk\u00f6zi irodalmi adatok alapj\u00e1n v\u00e1rhat\u00f3 volt (25%). Ennek magyar\u00e1zata, hogy a folyad\u00e9k-biopszi\u00e1s mint\u00e1k seg\u00edts\u00e9g\u00e9vel olyan tumoros ter\u00fcletekr\u0151l is siker\u00fclt inform\u00e1ci\u00f3t nyerni amiket a sz\u00f6veti biopszi\u00e1s mintav\u00e9telez\u00e9s sor\u00e1n nem \u00e9rintettek. A kutat\u00e1s eredm\u00e9nyeinek k\u00f6sz\u00f6nhet\u0151en f\u00e9nyt der\u00fclt arra, hogy k\u00f6zelm\u00faltban enged\u00e9lyezett, szelekt\u00edv EZH2 inhibitor ter\u00e1pia, az EZH2 mut\u00e1ci\u00f3k magasabb gyakoris\u00e1ga ok\u00e1n, v\u00e1rhat\u00f3an az FL-es betegek nagyobb h\u00e1nyad\u00e1ban alkalmazhat\u00f3 majd a k\u00f6zelj\u00f6v\u0151ben &#8211; fogalmazott dr. B\u00f6d\u00f6r Csaba.<\/p>\n<div class=\"keretes w-100\">\n<p>Parallel testing of liquid biopsy (ctDNA) and tissue biopsy samples reveals a higher frequency of EZH2 mutations in follicular lymphoma<br \/>\n\u00c1kos Nagy (HCEMM-SE Molecular Oncohematology Research Group, Department of Pathology and Experimental Cancer Research, Semmelweis University), Bence B\u00e1tai (HCEMM-SE Molecular Oncohematology Research Group, Department of Pathology and Experimental Cancer Research, Semmelweis University), Laura Kiss (HCEMM-SE Molecular Oncohematology Research Group, Department of Pathology and Experimental Cancer Research, Semmelweis University), Stef\u00e1nia Gr\u00f3f (HCEMM-SE Molecular Oncohematology Research Group, Department of Pathology and Experimental Cancer Research, Semmelweis University), P\u00e9ter Attila Kir\u00e1ly (Hematology and Lymphoma Unit, National Institute of Oncology), \u00c1d\u00e1m J\u00f3na (Department of Hematology, Faculty of Medicine, Medical School of Clinical Medicine, University of Debrecen), Judit Demeter (Department of Internal Medicine and Oncology, Semmelweis University), Hermina S\u00e1nta (Szent Gy\u00f6rgy Hospital of County Fej\u00e9r), \u00c1rp\u00e1d B\u00e1tai (Szent Gy\u00f6rgy Hospital of County Fej\u00e9r), Piroska Pettendi (Het\u00e9nyi G\u00e9za Hospital, Clinic of County J\u00e1sz-Nagykun-Szolnok), Tam\u00e1s Szendrei (Markusovszky University Teaching Hospital), M\u00e1rk Plander (Markusovszky University Teaching Hospital), G\u00e1bor K\u00f6r\u00f6smezey (Department of Medicine, Military Hospital &#8211; Medical Centre, Hungarian Defence Forces), Hussain Alizadeh (1st Department of Internal Medicine, Medical School, University of P\u00e9cs), B\u00e9la Kajt\u00e1r (Department of Pathology, Medical School, Clinical Centre, University of P\u00e9cs), G\u00e1bor M\u00e9hes (Department of Pathology, Faculty of Medicine, University of Debrecen), L\u00e1szl\u00f3 Kren\u00e1cs (Laboratory of Tumor Pathology and Molecular Diagnostics), Botond Tim\u00e1r (HCEMM-SE Molecular Oncohematology Research Group, Department of Pathology and Experimental Cancer Research, Semmelweis University), Judit Csomor (HCEMM-SE Molecular Oncohematology Research Group, Department of Pathology and Experimental Cancer Research, Semmelweis University), Erika T\u00f3th (Department of Surgical and Molecular Pathology, National Institute of Oncology), Tam\u00e1s Schneider (Hematology and Lymphoma Unit, National Institute of Oncology), G\u00e1bor Mikala (Department of Hematology and Stem Cell Transplantation, National Institute for Hematology and Infectious Diseases, South Pest Central Hospital), Andr\u00e1s Matolcsy (HCEMM-SE Molecular Oncohematology Research Group, Department of Pathology and Experimental Cancer Research, Semmelweis University), Don\u00e1t Alp\u00e1r (HCEMM-SE Molecular Oncohematology Research Group, Department of Pathology and Experimental Cancer Research, Semmelweis University), Andr\u00e1s Masszi (Hematology and Lymphoma Unit, National Institute of Oncology), Csaba B\u00f6d\u00f6r (HCEMM-SE Molecular Oncohematology Research Group, Department of Pathology and Experimental Cancer Research, Semmelweis University)<br \/>\nJournal of Internal MedicineVolume 294, Issue 3 p. 295-313.<br \/>\n<a href=\"https:\/\/doi.org\/10.1111\/joim.13674\" target=\"_blank\" rel=\"noopener\">https:\/\/doi.org\/10.1111\/joim.13674<\/a><\/p>\n<\/div>\n<p>&nbsp;<\/p>\n<h5>A generat\u00edv MI \u00e9s a nagy nyelvi modellek szab\u00e1lyoz\u00e1s\u00e1nak jelent\u0151s\u00e9ge<\/h5>\n<p><a href=\"https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/ezgif.com-webp-to-jpg-converted.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignleft size-medium wp-image-135182\" src=\"https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/ezgif.com-webp-to-jpg-converted-400x225.jpg\" alt=\"\" width=\"400\" height=\"225\" srcset=\"https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/ezgif.com-webp-to-jpg-converted-400x225.jpg 400w, https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/ezgif.com-webp-to-jpg-converted.jpg 685w\" sizes=\"auto, (max-width: 400px) 100vw, 400px\" \/><\/a>Eric Topollal, a digit\u00e1lis eg\u00e9szs\u00e9g\u00fcgy \u00e9s a mesters\u00e9ges intelligencia (MI) orvosi felhaszn\u00e1l\u00e1s\u00e1nak legt\u00f6bbet cit\u00e1lt kutat\u00f3j\u00e1val arr\u00f3l publik\u00e1ltunk a Nature npj Digital Medicine szaklapj\u00e1ban, hogy a generat\u00edv MI-t hogyan lehet majd leszab\u00e1lyozni \u00e9s milyen, ma m\u00e9g nem ismert kih\u00edv\u00e1sokra \u00e9rdemes felk\u00e9sz\u00fclnie a nemzetek szab\u00e1lyz\u00e1s\u00e9rt felel\u0151s test\u00fcleteinek.<\/p>\n<p>A generat\u00edv MI egy \u00fajfaja ir\u00e1nyzata az MI-nek, mely megl\u00e9v\u0151 adatokb\u00f3l mint\u00e1zatok \u00e9s adatpontok alapj\u00e1n pr\u00f3b\u00e1l hasonl\u00f3 adatokat k\u00e9pezni: p\u00e9ld\u00e1ul t\u00f6bb milli\u00f3 bet\u00e1pl\u00e1lt k\u00e9p alapj\u00e1n olyan \u00faj k\u00e9peket k\u00e9pes alkotni, melyek az emberi szemnek ak\u00e1r kreat\u00edvnak is hathatnak. A generat\u00edv MI legn\u00e9pszer\u0171bb eszk\u00f6zei a nagy nyelvi modellek (large language model \u2013 LLM), mint a ChatGPT vagy a Bard, melyeknek m\u00e1r vannak orvosi adatb\u00e1zisokon fejlesztett verzi\u00f3i is. T\u00f6bb tanulm\u00e1ny is kiemelte m\u00e1r, milyen ter\u00fcleteken tudn\u00e1nak hozz\u00e1j\u00e1rulni az orvosi munk\u00e1hoz, terhet lev\u00e9ve az orvosok v\u00e1ll\u00e1r\u00f3l. Az adminisztr\u00e1ci\u00f3, publik\u00e1ci\u00f3k \u00f6sszefoglal\u00e1sa, orvosi pap\u00edrok rendez\u00e9se, ter\u00e1pi\u00e1s terv elk\u00e9sz\u00edt\u00e9se csak n\u00e9h\u00e1ny p\u00e9lda a sok k\u00f6z\u00fcl. Azt elemezt\u00fck ki, hogy 1) mi\u00e9rt kell m\u00e1s kateg\u00f3ri\u00e1ba sorolni az LLM-eket az eddig leszab\u00e1lyzott eg\u00e9szs\u00e9g\u00fcgyi MI technol\u00f3gi\u00e1khoz k\u00e9pest; 2) milyen ir\u00e1nyelveket kell el\u00e9rhet\u0151v\u00e9 tenni az c\u00e9gek \u00e9s eg\u00e9szs\u00e9g\u00fcgyi szervezetek sz\u00e1m\u00e1ra a biztons\u00e1gos LLM haszn\u00e1lat \u00e9rdek\u00e9ben; 3) \u00e9s hogy m\u00e1r most \u00e9rdemes szab\u00e1lyz\u00f3i oldalon arra k\u00e9sz\u00fclni, hogy az LLM-ek nemcsak sz\u00f6veget fognak tudni \u00e9rtelmezni, hanem k\u00e9pet, vide\u00f3t, hangot \u00e9s teljes dokumentumokat is &#8211; \u00edrta dr. Mesk\u00f3 Bertalan.<\/p>\n<div class=\"keretes w-100\">\n<p>The imperative for regulatory oversight of large language models (or generative AI) in healthcare<br \/>\nBertalan Mesk\u00f3 (The Medical Futurist Institute; Department of Behavioural Sciences, Semmelweis University), Eric J. Topol (Scripps Research Translational Institute, Scripps Research)<br \/>\nnpj Digital Medicine volume 6, Article number: 120 (2023)<br \/>\n<a href=\"https:\/\/doi.org\/10.1038\/s41746-023-00873-0\" target=\"_blank\" rel=\"noopener\">https:\/\/doi.org\/10.1038\/s41746-023-00873-0<\/a><\/p>\n<\/div>\n<h5>A Sigma-1 receptor egy \u00faj c\u00e9lmolekula a szervprezerv\u00e1ci\u00f3 jav\u00edt\u00e1s\u00e1ra vesetranszplant\u00e1ci\u00f3 sor\u00e1n<\/h5>\n<figure id=\"attachment_135287\" aria-describedby=\"caption-attachment-135287\" style=\"width: 400px\" class=\"wp-caption alignleft\"><a href=\"https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/ezgif.com-webp-to-jpg-converted-4-scaled.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"size-medium wp-image-135287\" src=\"https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/ezgif.com-webp-to-jpg-converted-4-400x231.jpg\" alt=\"\" width=\"400\" height=\"231\" srcset=\"https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/ezgif.com-webp-to-jpg-converted-4-400x231.jpg 400w, https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/ezgif.com-webp-to-jpg-converted-4-900x520.jpg 900w, https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/ezgif.com-webp-to-jpg-converted-4-768x444.jpg 768w, https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/ezgif.com-webp-to-jpg-converted-4-1536x888.jpg 1536w, https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/ezgif.com-webp-to-jpg-converted-4-2048x1184.jpg 2048w, https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/ezgif.com-webp-to-jpg-converted-4-753x435.jpg 753w\" sizes=\"auto, (max-width: 400px) 100vw, 400px\" \/><\/a><figcaption id=\"caption-attachment-135287\" class=\"wp-caption-text\">S1R agonist FLU post-transplant kidney injury. mRNA expression levels of (A) kidney injury molecule 1 (Havcr1), (B) neutrophil gelatinase associated lipocalin (Lcn2), and (C) heme oxygenase 1 (Hmox1) genes. (D) Mean area of proximal tubular lumen (pixel). (E) Representative images of periodic acid-Schiff-stained rat kidney sections (scale bar = 100 \u00b5m). ++ p &lt; 0.01; +++ p &lt; 0.001 vs. SHAM, * p &lt; 0.05; ** p &lt; 0.01; *** p &lt; 0.001 vs. ATx, n = 6\u20138\/group.<\/figcaption><\/figure>\n<p>A v\u00e9gst\u00e1dium\u00fa vesebetegs\u00e9g a morbidit\u00e1s \u00e9s mortalit\u00e1s egyik vezet\u0151 oka vil\u00e1gszerte; a betegek sz\u00e1ma megt\u00edzszerez\u0151d\u00f6tt az elm\u00falt h\u00fasz \u00e9vben. Sz\u00e1mukra az els\u0151dlegesen v\u00e1lasztand\u00f3 vesep\u00f3tl\u00f3 kezel\u00e9s a transzplant\u00e1ci\u00f3, mely jobb t\u00fal\u00e9l\u00e9ssel, jobb \u00e9letmin\u0151s\u00e9ggel \u00e9s kevesebb k\u00f6lts\u00e9ggel j\u00e1r, mint a dial\u00edzis. A donorhi\u00e1ny azonban komoly probl\u00e9ma, ez\u00e9rt k\u00fcl\u00f6n\u00f6sen fontos lenne a kiterjesztett donor szelekci\u00f3s krit\u00e9riumoknak megfelel\u0151 szervek \u00e1llapot\u00e1nak optimaliz\u00e1l\u00e1sa \u00e9s a szervek maxim\u00e1lis t\u00e1rol\u00e1si idej\u00e9nek meghosszabb\u00edt\u00e1sa. Dr Fekete Andrea MTA-SE Lend\u00fclet Diab\u00e9tesz Kutat\u00f3csoportja erre a probl\u00e9m\u00e1ra keres keres \u00faj kezel\u00e9si lehet\u0151s\u00e9geket.<\/p>\n<p>A kutat\u00f3csoport dr. Hossz\u00fa \u00c1d\u00e1m vezet\u00e9s\u00e9vel a k\u00f6zelm\u00faltban azonos\u00edtotta a Sigma-1 receptort, mint a vesek\u00e1rosod\u00e1s m\u00e9rs\u00e9kl\u00e9s\u00e9re alkalmas c\u00e9lmolekul\u00e1t. Jelen k\u00f6zlem\u00e9ny\u00fcnkben kimutattuk, hogy a Sigma-1 receptor aktiv\u00e1ci\u00f3ja jav\u00edtja a vesefunkci\u00f3t, tov\u00e1bb\u00e1 cs\u00f6kkenti a gyullad\u00e1st \u00e9s a sejthal\u00e1lt a vesetranszplant\u00e1ci\u00f3 r\u00e1gcs\u00e1l\u00f3 modelljeiben. Le\u00edrtuk, hogy a Sigma-1 receptor agonista hat\u00f3anyagot tartalmaz\u00f3 prezerv\u00e1ci\u00f3s oldatban t\u00e1rolt ves\u00e9k jobb \u00e1llapotban ker\u00fclhetnek be\u00fcltet\u00e9sre \u00e9s a t\u00e1rol\u00e1si id\u0151 kitolhat\u00f3. Eredm\u00e9nyeink a vese k\u00f3ros elv\u00e1ltoz\u00e1sainak jobb meg\u00e9rt\u00e9se mellett hozz\u00e1j\u00e1rulnak a vesek\u00e1rosod\u00e1s kezel\u00e9s\u00e9re alkalmas \u00faj, ter\u00e1pi\u00e1s elj\u00e1r\u00e1sok fejleszt\u00e9s\u00e9hez \u00e9s egy hat\u00e9konyabb t\u00e1rol\u00f3folyad\u00e9k szabadalmaztat\u00e1s\u00e1hoz &#8211; \u00edrta \u00f6sszefoglal\u00f3j\u00e1ban dr. Hossz\u00fa \u00c1d\u00e1m.<\/p>\n<div class=\"keretes w-100\">\n<p>The Sigma-1 Receptor Is a Novel Target for Improving Cold Preservation in Rodent Kidney Transplants<br \/>\nAdam Hosszu (MTA-SE Lend\u00fclet \u201cMomentum\u201d Diabetes Research Group; Pediatric Center, MTA Center of Excellence, Semmelweis University), Akos R. Toth (MTA-SE Lend\u00fclet \u201cMomentum\u201d Diabetes Research Group; Pediatric Center, MTA Center of Excellence, Semmelweis University), Tamas Lakat (MTA-SE Lend\u00fclet \u201cMomentum\u201d Diabetes Research Group; Pediatric Center, MTA Center of Excellence, Semmelweis University), Ganna Stepanova (Department of Translational Medicine, Semmelweis University), Zsuzsanna Antal (Pediatric Center, MTA Center of Excellence, Semmelweis University), Laszlo J. Wagner (Department of Surgery, Transplantation and Gastroenterology, Semmelweis University), Attila J. Szabo (Pediatric Center, MTA Center of Excellence, Semmelweis University), Andrea Fekete (MTA-SE Lend\u00fclet \u201cMomentum\u201d Diabetes Research Group; Pediatric Center, MTA Center of Excellence, Semmelweis University)<br \/>\nInt. J. Mol. Sci. 2023, 24(14), 11630.<br \/>\n<a href=\"https:\/\/doi.org\/10.3390\/ijms241411630\" target=\"_blank\" rel=\"noopener\">https:\/\/doi.org\/10.3390\/ijms241411630<\/a><\/p>\n<\/div>\n<h5>A virtu\u00e1lis monoenergetikus szintek hat\u00e1sa a coronaria plakk komponens volumenekre foton-sz\u00e1ml\u00e1l\u00f3 CT-vel<\/h5>\n<p><a href=\"https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/tud-h-scaled.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignleft size-medium wp-image-135185\" src=\"https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/tud-h-400x338.jpg\" alt=\"\" width=\"400\" height=\"338\" srcset=\"https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/tud-h-400x338.jpg 400w, https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/tud-h-900x759.jpg 900w, https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/tud-h-768x648.jpg 768w, https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/tud-h-1536x1296.jpg 1536w, https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/tud-h-2048x1728.jpg 2048w, https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/tud-h-753x635.jpg 753w\" sizes=\"auto, (max-width: 400px) 100vw, 400px\" \/><\/a>Az \u00faj foton-sz\u00e1ml\u00e1l\u00f3 CT (PCCT) egy \u00edg\u00e9retes technika a koszor\u00fa\u00e9r-betegs\u00e9g elemz\u00e9s\u00e9re, amely a spektr\u00e1lis inform\u00e1ci\u00f3 felhaszn\u00e1l\u00e1s\u00e1val lehet\u0151s\u00e9get ny\u00fajt \u00fagynevezett virtu\u00e1lis monoenergetikus k\u00e9pek (VMI) alkalmaz\u00e1s\u00e1ra. A VMI k\u00e9pek jav\u00edthatj\u00e1k a coronaria CT angiogr\u00e1fia (CCTA) ki\u00e9rt\u00e9kel\u00e9s\u00e9t pontosabb sz\u00f6veti karakteriz\u00e1ci\u00f3t ny\u00fajtva. Azonban a k\u00fcl\u00f6nb\u00f6z\u0151 energiaszint\u0171 VMI k\u00e9pek megv\u00e1ltoztatj\u00e1k a voxelek attenu\u00e1ci\u00f3s \u00e9rt\u00e9k\u00e9t, \u00edgy v\u00e1ltozhat a kvantitat\u00edv koszor\u00fa\u00e9r plakk komponensek m\u00e9rt t\u00e9rfogata is. C\u00e9lunk volt megvizsg\u00e1lni, hogy hogyan v\u00e1ltoznak a coronaria plakk komponens t\u00e9rfogatok k\u00fcl\u00f6nb\u00f6z\u0151 VMI szinteken. \u00d6sszesen 51 beteg coronaria plakkj\u00e1t elemezt\u00fcnk CCTA-t alkalmazva, 15 k\u00fcl\u00f6nb\u00f6z\u0151 energiaszint\u0171 VMI felv\u00e9telen.<\/p>\n<p>Eredm\u00e9nyeink alapj\u00e1n a k\u00fcl\u00f6nb\u00f6z\u0151 VMI k\u00e9pek energiaszintjeinek haszn\u00e1lata a coronaria plakkok elemz\u00e9sekor jelent\u0151s v\u00e1ltoz\u00e1sokat eredm\u00e9nyeztek az attenu\u00e1ci\u00f3s \u00e9rt\u00e9kekben \u00e9s az egyes plakk komponensek t\u00e9rfogat\u00e1ban. Az alacsony energiaszint\u0171 k\u00e9pek jav\u00edtott\u00e1k a kontraszt-zaj ar\u00e1nyt, azonban n\u00f6velt\u00e9k a k\u00e9pzajt. K\u00f6vetkeztet\u00e9sk\u00e9nt sz\u00fcks\u00e9g van standardiz\u00e1lt protokollok l\u00e9trehoz\u00e1s\u00e1ra a coronaria plakkok kvantitat\u00edv elemz\u00e9s\u00e9re PCCT-t alkalmazva &#8211; fogalmazott Vattay Borb\u00e1la.<\/p>\n<div class=\"keretes w-100\">\n<p>Impact of virtual monoenergetic levels on coronary plaque volume components using photon-counting computed tomography<br \/>\nBorb\u00e1la Vattay (MTA-SE \u201cLend\u00fclet\u201d Cardiovascular Imaging Research Group, Semmelweis University Heart and Vascular Center), B\u00e1lint Szilveszter (MTA-SE \u201cLend\u00fclet\u201d Cardiovascular Imaging Research Group, Semmelweis University Heart and Vascular Center), Melinda Boussousso (MTA-SE \u201cLend\u00fclet\u201d Cardiovascular Imaging Research Group, Semmelweis University Heart and Vascular Center), Mil\u00e1n Vecsey-Nagy (MTA-SE \u201cLend\u00fclet\u201d Cardiovascular Imaging Research Group, Semmelweis University Heart and Vascular Center), Andrew Lin (Biomedical Imaging Research Institute, Cedars-Sinai Medical Center), G\u00e1bor Konkoly (MTA-SE \u201cLend\u00fclet\u201d Cardiovascular Imaging Research Group, Semmelweis University Heart and Vascular Center), Anik\u00f3 Kubovje (Semmelweis University Medical Imaging Center), Florian Schwarz<br \/>\n(Clinic for Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Augsburg), B\u00e9la Merkely (MTA-SE \u201cLend\u00fclet\u201d Cardiovascular Imaging Research Group, Semmelweis University Heart and Vascular Center), P\u00e1l Maurovich-Horvat (Semmelweis University Medical Imaging Center), Michelle C. Williams (University of Edinburgh\/British Heart Foundation Centre for Cardiovascular Science), Damini Dey (Biomedical Imaging Research Institute, Cedars-Sinai Medical Center), M\u00e1rton Kolossv\u00e1ry (Gottsegen National Cardiovascular Center; Physiological Controls Research Center, University Research and Innovation Center, \u00d3buda University)<br \/>\nEur Radiol\u00a0<b>33<\/b>, 8528\u20138539 (2023). <br \/>\n<a href=\"https:\/\/doi.org\/10.1007\/s00330-023-09876-7\" target=\"_blank\" rel=\"noopener\">https:\/\/doi.org\/10.1007\/s00330-023-09876-7<\/a><\/p>\n<\/div>\n<h5>Retin\u00e1lis disztrofinok \u00e9s a Duchenne izomdisztr\u00f3fia (DMD)<\/h5>\n<p><a href=\"https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/kep1-tudh.png\"><img loading=\"lazy\" decoding=\"async\" class=\"alignleft size-medium wp-image-135186\" src=\"https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/kep1-tudh-400x143.png\" alt=\"\" width=\"400\" height=\"143\" srcset=\"https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/kep1-tudh-400x143.png 400w, https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/kep1-tudh-768x274.png 768w, https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/kep1-tudh-753x268.png 753w, https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/kep1-tudh.png 780w\" sizes=\"auto, (max-width: 400px) 100vw, 400px\" \/><\/a>A Duchenne-izomdisztr\u00f3fi\u00e1t (DMD) az X-kromosz\u00f3m\u00e1hoz k\u00f6t\u00f6tt, \u00f6r\u00f6kl\u00f6tt vagy de novo DMD g\u00e9nmut\u00e1ci\u00f3k okozz\u00e1k. T\u00falnyom\u00f3r\u00e9szt f\u00e9rfiak \u00e9rintettek, akikn\u00e9l korai izomdegener\u00e1ci\u00f3 alakul ki, s\u00falyosan befoly\u00e1solva \u00e9letmin\u0151s\u00e9g\u00fcket \u00e9s cs\u00f6kkentve a v\u00e1rhat\u00f3 \u00e9lettartamukat. A DMD-s betegekn\u00e9l proliferat\u00edv retinop\u00e1tia, sz\u00fcrkeh\u00e1lyog, ERG-rendelleness\u00e9gek, megv\u00e1ltozott kontraszt\u00e9rz\u00e9kenys\u00e9g, sz\u00ednl\u00e1t\u00e1sveszt\u00e9s \u00e9s megemelkedett s\u00f6t\u00e9tadapt\u00e1ci\u00f3s \u00e9szlel\u00e9si k\u00fcsz\u00f6b is el\u0151fordulhat. A hossz\u00fa DMD g\u00e9nben bek\u00f6vetkezett v\u00e1ltoz\u00e1s, annak hely\u00e9t\u0151l f\u00fcgg\u0151en a teljes disztrofin feh\u00e9rje, esetleg egy vagy t\u00f6bb tov\u00e1bbi disztrofin hi\u00e1ny\u00e1val j\u00e1r. Ezek \u00e1ltal\u00e1ban a retin\u00e1n \u00e9s a szemlecs\u00e9ben tal\u00e1lhat\u00f3 bels\u0151 prom\u00f3terekb\u0151l \u00edr\u00f3dnak \u00e1t.<\/p>\n<p>Az elm\u00falt \u00e9vtizedekben a disztrofinok tulajdons\u00e1gait k\u00fcl\u00f6nb\u00f6z\u0151 genetikai elv\u00e1ltoz\u00e1sokkal rendelkez\u0151 betegekben \u00e9s DMD genetikai eg\u00e9rmodellekben vizsg\u00e1lt\u00e1k. A fotoreceptorokban, a M\u00fcller-f\u00e9le gliasejtekben \u00e9s az asztrocit\u00e1kban tal\u00e1lhat\u00f3 disztrofinok komplex expresszi\u00f3s mint\u00e1zata befoly\u00e1solhatja a retina szinaptikus jeltov\u00e1bb\u00edt\u00e1s\u00e1t, ionegyens\u00faly\u00e1t \u00e9s \u00e9rrendszeri integrit\u00e1s\u00e1t. Az egyes retin\u00e1lis disztrofinok specifikus funkci\u00f3ja azonban m\u00e9g nagyr\u00e9szt ismeretlen. Munk\u00e1nkban \u00f6sszefoglaltuk a disztrofin expresszi\u00f3val kapcsolatos ismereteket, a retina disztrofinok felt\u00e9telezett molekul\u00e1ris, szerkezeti \u00e9s fiziol\u00f3giai tulajdons\u00e1gait, valamint a disztrofinveszt\u00e9s f\u0151 klinikai k\u00f6vetkezm\u00e9nyeit DMD-s betegekben \u00e9s eg\u00e9rmodellekben. A jelenlegi ismeretek \u00e9s munkahipot\u00e9zisek alapj\u00e1n a retina disztrofinok tov\u00e1bbi kutat\u00e1sa indokolt a disztrofin k\u00f6zponti idegrendszeri funkci\u00f3j\u00e1nak \u00e9s a kapcsol\u00f3d\u00f3 retin\u00e1lis mechanizmusok jobb meg\u00e9rt\u00e9se, valamint \u00faj ter\u00e1pi\u00e1s megold\u00e1sok kidolgoz\u00e1sa \u00e9rdek\u00e9ben &#8211; foglalta \u00f6ssze Mirella Barboni.<\/p>\n<div class=\"keretes w-100\">\n<p>Retinal dystrophins and the retinopathy of Duchenne muscular dystrophy<br \/>\nMirella Telles Salgueiro Barboni (Department of Ophthalmology, Semmelweis University; Department of Experimental Psychology, University of Sao Paulo), Anneka Joachimsthaler (Section for Retinal Physiology, University Hospital Erlangen; Animal Physiology, Department of Biology, FAU Erlangen-N\u00fcrnberg), Michel J. Roux (Department of Translational Medicine and Neurogenetics, IGBMC-ICS Phenomin, University of Strasbourg), Zolt\u00e1n Zsolt Nagy (Department of Ophthalmology, Semmelweis University), Dora Fix Ventura (Department of Experimental Psychology, University of Sao Paulo), Alvaro Rendon (Sorbonne Universit\u00e9, INSERM, CNRS, Institut de la Vision), Jan Kremers (Section for Retinal Physiology, University Hospital Erlangen;<br \/>\nAnimal Physiology, Department of Biology, FAU Erlangen-N\u00fcrnberg), Cyrille Vaillend (Universit\u00e9 Paris-Saclay, CNRS, Institut des Neurosciences Paris-Saclay)<br \/>\nProgress in Retinal and Eye Research Volume 95, July 2023, 101137<br \/>\n<a href=\"https:\/\/doi.org\/10.1016\/j.preteyeres.2022.101137\" target=\"_blank\" rel=\"noopener\">https:\/\/doi.org\/10.1016\/j.preteyeres.2022.101137<\/a><\/p>\n<\/div>\n<h5>Az mRNS-alap\u00fa olt\u00e1sok ut\u00e1n a t\u00fcskefeh\u00e9rje (spike)-specifikus IgG4 aloszt\u00e1ly megjelen\u00e9se f\u00fcgg a SARS-CoV-2 fert\u0151z\u0151d\u00e9s id\u0151pontj\u00e1t\u00f3l<\/h5>\n<p><a href=\"https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/Kep2-tudh.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignleft size-medium wp-image-135187\" src=\"https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/Kep2-tudh-400x198.jpg\" alt=\"\" width=\"400\" height=\"198\" srcset=\"https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/Kep2-tudh-400x198.jpg 400w, https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/Kep2-tudh.jpg 605w\" sizes=\"auto, (max-width: 400px) 100vw, 400px\" \/><\/a>Az elm\u00falt \u00e9vekben a s\u00falyos COVID-19 betegs\u00e9g el\u0151fordul\u00e1s\u00e1t a SARS-CoV-2 elleni v\u00e9d\u0151olt\u00e1sok bevezet\u00e9se cs\u00f6kkentette. Az olt\u00e1sok ut\u00e1n kialakul\u00f3 specifikus ellenanyagok k\u00fcl\u00f6nb\u00f6z\u0151 izot\u00edpus\u00faak \u00e9s aloszt\u00e1ly\u00faak lehetnek, amelyek elt\u00e9r\u0151 antig\u00e9n elpuszt\u00edt\u00e1s\u00e1t biztos\u00edt\u00f3 effektor funkci\u00f3kkal rendelkeznek. Az \u00fajabb mRNS-alap\u00fa olt\u00f3anyagok bevezet\u00e9s\u00e9hez a k\u00fcl\u00f6nb\u00f6z\u0151 olt\u00f3anyagok hat\u00e1s\u00e1ra kialakul\u00f3 SARS-CoV-2 spike-specifikus IgG aloszt\u00e1lyok monitoroz\u00e1sa fontos adatokkal szolg\u00e1lhat. <br \/>\nJelen vizsg\u00e1latban az mRNS-alap\u00fa (Pfizer-BioNTech, Moderna) olt\u00e1sok el\u0151tt fert\u0151z\u0151d\u00f6tt egy\u00e9nekben, a vektor-alap\u00fa (Sputnik, Astra Zeneca) oltottakban \u00e9s a nem-oltott COVID-19 betegekben hasonl\u00f3 mint\u00e1zat\u00fa spike-specifikus IgG aloszt\u00e1ly\u00fa ellenanyagok jelentek meg. Az mRNS-alap\u00fa olt\u00e1s el\u0151tt nem fert\u0151z\u0151d\u00f6tt szem\u00e9lyek IgG aloszt\u00e1ly eloszl\u00e1sa ett\u0151l m\u00e1r jelent\u0151sen k\u00fcl\u00f6nb\u00f6z\u00f6tt. Itt a spike-specifikus IgG4 aloszt\u00e1ly ar\u00e1nya megn\u00f6vekedett, az \u00f6sszes spike-specifikus ellenanyagok k\u00f6zel fel\u00e9t tette ki.<\/p>\n<p>Eredm\u00e9nyeink al\u00e1t\u00e1masztj\u00e1k, hogy a SARS-CoV-2 spike-specifikus immunol\u00f3giai mem\u00f3ria kialakul\u00e1s\u00e1ban fontos szerepet j\u00e1tszik a primer immuniz\u00e1ci\u00f3 sor\u00e1n fell\u00e9p\u0151 antig\u00e9n. Fontos megjegyezni, hogy tov\u00e1bbi vizsg\u00e1latokra van m\u00e9g sz\u00fcks\u00e9g\u00fcnk, hogy megalapozott k\u00f6vetkeztet\u00e9seket vonjunk le az mRNS-alap\u00fa olt\u00e1sok ut\u00e1n megjelen\u0151 IgG4 aloszt\u00e1ly\u00fa ellenanyagok szerep\u00e9r\u0151l &#8211; foglalta \u00f6ssze dr. Kiszel Petra.<\/p>\n<div class=\"keretes w-100\">\n<p>Class switch towards spike protein-specific IgG4 antibodies after SARS-CoV-2 mRNA vaccination depends on prior infection history<br \/>\nPetra Kiszel (Research Group for Immunology and Hematology, Hungarian Research Network-Semmelweis University), P\u00e1l S\u00edk (Department of Internal Medicine and Hematology, Semmelweis University), J\u00e1nos Mikl\u00f3s (Department of Internal Medicine and Hematology, Semmelweis University), Erika Kajd\u00e1csi (Research Group for Immunology and Hematology, Hungarian Research Network-Semmelweis University; Department of Internal Medicine and Hematology, Semmelweis University), Gy\u00f6rgy Sinkovits (Department of Internal Medicine and Hematology, Semmelweis University), L\u00e1szl\u00f3 Cervenak (Department of Internal Medicine and Hematology, Semmelweis University), Zolt\u00e1n Proh\u00e1szka (Research Group for Immunology and Hematology, Hungarian Research Network-Semmelweis University; Department of Internal Medicine and Hematology, Semmelweis University)<br \/>\nSci Rep. 2023 Aug 13; 13(1):13166<br \/>\n<a href=\"https:\/\/www.nature.com\/articles\/s41598-023-40103-x\" target=\"_blank\" rel=\"noopener\">doi: 10.1038\/s41598-023-40103-x<\/a><\/p>\n<\/div>\n<h5>A 2-es t\u00edpus\u00fa cukorbetegs\u00e9g fenn\u00e1ll\u00e1si idej\u00e9nek hat\u00e1sa a vastag- \u00e9s v\u00e9gb\u00e9lr\u00e1k kimenetel\u00e9re<\/h5>\n<figure id=\"attachment_135288\" aria-describedby=\"caption-attachment-135288\" style=\"width: 298px\" class=\"wp-caption alignleft\"><a href=\"https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/ezgif.com-webp-to-jpg-converted-5.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"size-medium wp-image-135288\" src=\"https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/ezgif.com-webp-to-jpg-converted-5-298x400.jpg\" alt=\"\" width=\"298\" height=\"400\" srcset=\"https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/ezgif.com-webp-to-jpg-converted-5-298x400.jpg 298w, https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/ezgif.com-webp-to-jpg-converted-5-597x800.jpg 597w, https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/ezgif.com-webp-to-jpg-converted-5-768x1030.jpg 768w, https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/ezgif.com-webp-to-jpg-converted-5-1146x1536.jpg 1146w, https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/ezgif.com-webp-to-jpg-converted-5-1527x2048.jpg 1527w, https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/ezgif.com-webp-to-jpg-converted-5-753x1010.jpg 753w, https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/ezgif.com-webp-to-jpg-converted-5.jpg 1766w\" sizes=\"auto, (max-width: 298px) 100vw, 298px\" \/><\/a><figcaption id=\"caption-attachment-135288\" class=\"wp-caption-text\">Changes in the average fasting plasma glucose (A), total\u2013 (B), high-density lipoprotein\u2013 (C), low-density lipoprotein cholesterol (D), estimated glomerular filtration rate (E), body mass index (F) and glycosylated hemoglobin (HbA1C; G) values of the two study cohorts during the observation period. Significant constant differences between the two cohorts could be justified in all parameters (A\u2013F). Optimal fasting glucose, HBA1C, total\u2013, high-density lipoprotein\u2013, and low-density lipoprotein cholesterol lipid values for T2DM patients are between 4.0 and 6.5 mmol\/L,\u2009&lt;\u20097.0%,\u2009&lt;\u20094.0 mmol\/L,\u2009&gt;\u20091.0 mmol\/L,\u2009&lt;\u20092.0 mmol\/L, respectively. Green and red colors represent colorectal cancer patients with and without type 2 diabetes mellitus, respectively. Thick lines and ribbons represent the predicted values and their 95% confidence intervals at the specific timepoints, respectively.<\/figcaption><\/figure>\n<p>A vastag- \u00e9s v\u00e9gb\u00e9lr\u00e1k (CRC) \u00e9s a 2-es t\u00edpus\u00fa cukorbetegs\u00e9g (T2DM) t\u00f6bb k\u00f6z\u00f6s kock\u00e1zati t\u00e9nyez\u0151vel b\u00edr. Eg\u00e9szs\u00e9gesekhez k\u00e9pest T2DM-ben gyakrabban alakul ki CRC, \u00e9s ezeknek a betegeknek \u00e1ltal\u00e1ban r\u00f6videbb az \u00e9lettartama. A Semmelweis Egyetem\u00a0 Belgy\u00f3gy\u00e1szati \u00e9s Hematol\u00f3giai Klinika Anyagcsere Munkacsoport \u00e9s a Semmelweis Egyetem Belgy\u00f3gy\u00e1szati \u00e9s Onkol\u00f3giai Klinika Onkol\u00f3giai Profil k\u00f6z\u00f6s kutat\u00e1sa azt vizsg\u00e1lta, hogy a T2DM fenn\u00e1ll\u00e1s\u00e1nak ideje milyen hat\u00e1ssal van a CRC-s betegek v\u00e1rhat\u00f3 t\u00fal\u00e9l\u00e9s\u00e9re. B\u00e1r mindk\u00e9t betegs\u00e9g gyakori, kor\u00e1bbi kutat\u00e1sok nem tudt\u00e1k igazolni ezt a kapcsolatot.<\/p>\n<p>\u00d6sszesen 817 CRC-s beteget vizsg\u00e1ltak, k\u00f6z\u00fcl\u00fck 204 volt T2DM. Az eredm\u00e9nyek azt mutatj\u00e1k, hogy azokn\u00e1l a r\u00e1kbetegekn\u00e9l, akikn\u00e9l a T2DM r\u00e9gebben alakult ki, r\u00f6videbb t\u00fal\u00e9l\u00e9si id\u0151 tapasztalhat\u00f3. Azokn\u00e1l a betegekn\u00e9l, akikn\u00e9l a CRC diagn\u00f3zisakor a T2DM kevesebb, mint 5 \u00e9ve van jelen, kedvez\u0151bb progn\u00f3zist figyeltek meg. Azonban a tumor diagn\u00f3zis\u00e1t k\u00f6vet\u0151 harmadik \u00e9vben a T2DM k\u00e1ros hat\u00e1sai m\u00e1r semleges\u00edtik ezt a pozit\u00edv hat\u00e1st, \u00e9s ekkor ezek a betegek ugyanakkora kock\u00e1zatnak vannak kit\u00e9ve, mint a hosszabb ideje T2DM betegek. Ez\u00e9rt azt javasoljuk, hogy vastag- \u00e9s v\u00e9gb\u00e9lr\u00e1k betegs\u00e9gben szenved\u0151 cukorbetegekn\u00e9l, a nem cukorbeteg t\u00e1rsaikn\u00e1l tapasztalt jobb t\u00fal\u00e9l\u00e9si id\u0151k megk\u00f6zel\u00edt\u00e9s\u00e9nek \u00e9rdek\u00e9ben, t\u00f6rekedni kell cukoranyagcsere \u00e1llapotuk szoros ellen\u0151rz\u00e9s\u00e9re, a k\u00eds\u00e9r\u0151betegs\u00e9gek, sz\u00f6v\u0151dm\u00e9nyeinek szakmai ir\u00e1nyelveknek megfelel\u0151 kezel\u00e9s\u00e9re. A cukorbetegek onkol\u00f3giai gondoz\u00e1s\u00e1ba, sz\u00fcks\u00e9gesnek tartjuk a diabetol\u00f3gus szakorvos bevon\u00e1s\u00e1t &#8211; fogalmazott Herold Magdolna.\u00a0<\/p>\n<div class=\"keretes w-100\">\n<p>Influence of the duration of type 2 diabetes mellitus on colorectal cancer outcomes<br \/>\nMagdolna Herold (Department of Internal Medicine and Hematology, Semmelweis University; Division of Oncology, Department of Internal Medicine and Oncology, Semmelweis University), Attila Marcell Szasz (Division of Oncology, Department of Internal Medicine and Oncology, Semmelweis University), Gyongyver Szentmartoni (Division of Oncology, Department of Internal Medicine and Oncology, Semmelweis University), Emoke Martinek (Division of Oncology, Department of Internal Medicine and Oncology, Semmelweis University), Viktor Madar-Dank<br \/>\n(Department of the Institute for Dispute Resolution, New Jersey City University), Andras Jozsef Barna (Division of Oncology, Department of Internal Medicine and Oncology, Semmelweis University; Department of Obstetrics and Gynecology, Saint Pantaleon Hospital), Reka Mohacsi<br \/>\n(Division of Oncology, Department of Internal Medicine and Oncology, Semmelweis University), Aniko Somogyi (Department of Internal Medicine and Hematology, Semmelweis University), Magdolna Dank (Division of Oncology, Department of Internal Medicine and Oncology, Semmelweis University), Zoltan Herold (Division of Oncology, Department of Internal Medicine and Oncology, Semmelweis University)<br \/>\nScientific Reports volume 13, Article number: 12985 (2023)<br \/>\n<a href=\"https:\/\/doi.org\/10.1038\/s41598-023-40216-3\" target=\"_blank\" rel=\"noopener\">https:\/\/doi.org\/10.1038\/s41598-023-40216-3<\/a><\/p>\n<\/div>\n<h5>Az agyi autoregul\u00e1ci\u00f3s funkci\u00f3 \u00e9s a f\u00e9ltek\u00e9n bel\u00fcli v\u00e9r\u00e1raml\u00e1s \u00e9rt\u00e9kel\u00e9se arteria carotis bels\u0151 sz\u0171k\u00fcletben szenved\u0151 id\u0151sebb feln\u0151ttekn\u00e9l a carotis arteria kompresszi\u00f3 ut\u00e1ni tranziens hyperaemi\u00e1s v\u00e1lasz kopony\u00e1n kereszt\u00fcli Doppler-szonogr\u00e1fi\u00e1s m\u00e9r\u00e9s\u00e9vel<\/h5>\n<figure id=\"attachment_135192\" aria-describedby=\"caption-attachment-135192\" style=\"width: 400px\" class=\"wp-caption alignleft\"><a href=\"https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/ezgif.com-webp-to-jpg-converted-1.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-135192 size-medium\" src=\"https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/ezgif.com-webp-to-jpg-converted-1-400x205.jpg\" alt=\"\" width=\"400\" height=\"205\" srcset=\"https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/ezgif.com-webp-to-jpg-converted-1-400x205.jpg 400w, https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/ezgif.com-webp-to-jpg-converted-1-900x461.jpg 900w, https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/ezgif.com-webp-to-jpg-converted-1-768x393.jpg 768w, https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/ezgif.com-webp-to-jpg-converted-1-753x385.jpg 753w, https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/ezgif.com-webp-to-jpg-converted-1.jpg 1368w\" sizes=\"auto, (max-width: 400px) 100vw, 400px\" \/><\/a><figcaption id=\"caption-attachment-135192\" class=\"wp-caption-text\">Representative registration of patients with carotid artery stenosis (CAS), illustrating non-delayed transient hyperemic response (THR) in the upper panel and delayed THR in the lower panel. Equations for calculating the maximal transient hyperemic response ratio (THRR) are provided for each group. BFV denotes blood flow velocity, CCC represents the common carotid artery compression test, RTB indicates return to baseline, F1 represents baseline BFV, F2 represents initial BFV during CCC, F3 corresponds to the early peak BFV, and F4 denotes the maximal BFV if the maximum blood flow velocity did not occur immediately after the end of CCC, but after a few cardiac cycles<\/figcaption><\/figure>\n<p>Az agyi infarktusok k\u00f6zel 30%-a ateroszklerotikus eredet\u0171, ezek harmad\u00e1ban az art\u00e9ria carotis interna (ACI) hemodinamikailag szignifik\u00e1ns (70%-ot meghalad\u00f3) sz\u0171k\u00fclete a k\u00f6zvetlen k\u00f3rok. A sz\u0171k\u00fclet \u00e1ltal eredm\u00e9nyezett cs\u00f6kkent art\u00e9ri\u00e1s perf\u00fazi\u00f3 az agyi sz\u00f6veti v\u00e9rell\u00e1t\u00e1s biztos\u00edt\u00e1sa szempontj\u00e1b\u00f3l legjelent\u0151sebb szab\u00e1lyoz\u00f3, \u00fan. rezisztenciaerek (n\u00e9h\u00e1ny sz\u00e1z mikron \u00e1tm\u00e9r\u0151j\u0171, simaizomban d\u00fas fal\u00fa kis art\u00e9ri\u00e1k- arteriol\u00e1k) tart\u00f3s t\u00e1gulat\u00e1t eredm\u00e9nyezi. A nagy\u00e9rsz\u0171k\u00fclet m\u00e9rt\u00e9k\u00e9nek tov\u00e1bbi fokoz\u00f3d\u00e1s\u00e1val az arteriol\u00e1k t\u00e1gul\u00e1si k\u00e9pess\u00e9ge (vazoreaktivit\u00e1sa) kimer\u00fcl, amely n\u00f6veli az idegsz\u00f6veti kritikus iszk\u00e9mia-infarktus kock\u00e1zat\u00e1t, amely leggyakrabban a kering\u00e9s\u00e9ben legs\u00e9r\u00fcl\u00e9kenyebb, \u00fan. art\u00e9ri\u00e1s hat\u00e1rz\u00f3n\u00e1kban (agyi nagyerek \u00e1ltal ell\u00e1tott ter\u00fcletek sz\u00e9li r\u00e9szei) alakul ki ezekben az esetekben. A kering\u00e9svizsg\u00e1l\u00f3 m\u00f3dszerekkel meghat\u00e1rozhat\u00f3 agyi vazoreaktivit\u00e1si k\u00e9pess\u00e9g besz\u0171k\u00fcl\u00e9se az agyi infarktusok kialakul\u00e1s\u00e1nak bizony\u00edtottan \u00f6n\u00e1ll\u00f3 kock\u00e1zati t\u00e9nyez\u0151je. Az emberi agy perf\u00fazi\u00f3j\u00e1t k\u00e9t p\u00e1r extrakrani\u00e1lis art\u00e9ria biztos\u00edtja, a jobb \u00e9s bal ACI \u00e9s art\u00e9ria vertebralis (AV). Az ACI f\u0151 \u00e1gai az art\u00e9ria cerebri anterior (ACA) \u00e9s a cerebri m\u00e9dia (ACM). Az art\u00e9ria vertebralisok art\u00e9ria basilariss\u00e1 (AB) egyes\u00fclnek, az AB jobb \u00e9s bal art\u00e9ria cerebri posteriorra (ACP) oszlik. Az agyalapi ereket (ACA, ACM, ACP) egym\u00e1ssal \u00fan. communicans art\u00e9ri\u00e1k k\u00f6tik \u00f6ssze, l\u00e9trehozva ezzel a Willis-k\u00f6r (CoW) elnevez\u00e9s\u0171 anasztom\u00f3zis rendszert, amely alternat\u00edv kering\u00e9si \u00fatvonalakat biztos\u00edt az eml\u00edtett extrakrani\u00e1lis art\u00e9ri\u00e1k s\u00falyos sz\u0171k\u00fclete vagy elz\u00e1r\u00f3d\u00e1sa eset\u00e9n.<\/p>\n<p>Klinikai szempontb\u00f3l megk\u00fcl\u00f6nb\u00f6ztet\u00fcnk t\u00fcnetk\u00e9pz\u0151 (6 h\u00f3napon bel\u00fcl az \u00e9r ell\u00e1t\u00e1si ter\u00fclet\u00e9ben kialakult \u00e1tmeneti iszk\u00e9mia klinikai jele vagy sz\u00f6veti elhal\u00e1s-infarktus) \u00e9s aszimpt\u00f3m\u00e1s ACI sz\u0171k\u00fcletet. A carotis rekonstrukci\u00f3 k\u00e9t lehets\u00e9ges m\u00f3dja a carotis endarterekt\u00f3mia (CEA) \u00e9s a stentbe\u00fcltet\u00e9s (CAS). A Willis-k\u00f6ri vari\u00e1ci\u00f3k, azaz az eml\u00edtett communicans kapcsolatok egyik\u00e9nek vagy mindegyik\u00e9nek hi\u00e1nya a cs\u00f6kkent cerebr\u00e1lis vazoreaktivit\u00e1st kompenz\u00e1l\u00f3 hat\u00e1sa jelenleg tiszt\u00e1zatlan, mint ahogy a szimpt\u00f3m\u00e1s \u00e9s aszimpt\u00f3m\u00e1s ACI sz\u0171k\u00fcletben szenved\u0151 betegcsoportok agyi vazoreaktivit\u00e1sa k\u00f6z\u00f6tt sem igazoltak k\u00fcl\u00f6nbs\u00e9get. Kutat\u00f3csoportunk k\u00e9t hipot\u00e9zist vizsg\u00e1lt. Felt\u00e9telezt\u00fck, hogy a szimpt\u00f3m\u00e1s \u00e9s aszimpt\u00f3m\u00e1s ACI sz\u0171k\u00fcletben szenved\u0151 betegek cerebr\u00e1lis vazoreaktivit\u00e1sa \u00e9s Willis-k\u00f6ri anasztom\u00f3zis rendszere k\u00fcl\u00f6nb\u00f6z\u0151, valamint vizsg\u00e1ltuk, hogy a Willis-k\u00f6ri vari\u00e1ci\u00f3k befoly\u00e1solj\u00e1k-e a cerebr\u00e1lis vazoreaktivit\u00e1s m\u00e9rt\u00e9k\u00e9t &#8211; \u00edrta dr. Ga\u00e1l Anna.<\/p>\n<div class=\"keretes w-100\">\n<p>Assessment of cerebral autoregulatory function and inter-hemispheric blood flow in older adults with internal carotid artery stenosis using transcranial Doppler sonography-based measurement of transient hyperemic response after carotid artery compression<br \/>\nRita Magyar-Stang (Department of Neurology, Semmelweis University; J\u00e1nos Szent\u00e1gothai Doctoral School of Neurosciences, Semmelweis University), Hanga P\u00e1l (Department of Neurology, Semmelweis University; J\u00e1nos Szent\u00e1gothai Doctoral School of Neurosciences, Semmelweis University), Borb\u00e1la Cs\u00e1nyi (Faculty of Medicine, Semmelweis University), Anna Ga\u00e1l (Faculty of Medicine, Semmelweis University), Zsuzsanna Mih\u00e1ly (Department of Vascular and Endovascular Surgery, Semmelweis University), Zs\u00f3fia Czinege (Department of Vascular and Endovascular Surgery, Semmelweis University), Tamas Csipo (Vascular Cognitive Impairment and Neurodegeneration Program, Oklahoma Center for Geroscience and Healthy Brain Aging, Department of Neurosurgery, University of Oklahoma Health Sciences Center; International Training Program in Geroscience, Doctoral School of Basic and Translational Medicine\/Department of Public Health, Semmelweis University), Zoltan Ungvari (Vascular Cognitive Impairment and Neurodegeneration Program, Oklahoma Center for Geroscience and Healthy Brain Aging, Department of Neurosurgery, University of Oklahoma Health Sciences Center; International Training Program in Geroscience, Doctoral School of Basic and Translational Medicine\/Department of Public Health, Semmelweis University; Peggy and Charles Stephenson Cancer Center, Oklahoma City; Department of Health Promotion Sciences, College of Public Health, University of Oklahoma Health Sciences Center), P\u00e9ter S\u00f3tonyi (Department of Vascular and Endovascular Surgery, Semmelweis University), Andrea Varga (Department of Diagnostic Radiology, Heart and Vascular Center, Semmelweis University), Tam\u00e1s Horv\u00e1th (Research Center for Sport Physiology, Hungarian University of Sports Science), D\u00e1niel Bereczki (Department of Neurology, Semmelweis University), Akos Koller (Research Center for Sport Physiology, Hungarian University of Sports Science; Department of Morphology &amp; Physiology, Faculty of Health Sciences, and Translational Medicine Institute, Faculty of Medicine, and ELKH-SE, Cerebrovascular and Neurocognitive Disorders Research Group, Semmelweis University; Department of Physiology, New York Medical College), R\u00f3bert Debreczeni (Department of Neurology, Semmelweis University)<br \/>\nGeroScience 45, 3333\u20133357 (2023). <br \/>\n<a href=\"https:\/\/doi.org\/10.1007\/s11357-023-00896-1\" target=\"_blank\" rel=\"noopener\">https:\/\/doi.org\/10.1007\/s11357-023-00896-1<\/a><\/p>\n<\/div>\n<h5>Alv\u00e1s k\u00f6zben m\u00e9rhet\u0151 agyhull\u00e1maink t\u00fckr\u00f6zik az intelligenci\u00e1t<\/h5>\n<p><a href=\"https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/f730a860-d990-4ae3-a339-aa2b49bf6ded_3500x1290-scaled.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignleft size-medium wp-image-135195\" src=\"https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/f730a860-d990-4ae3-a339-aa2b49bf6ded_3500x1290-400x147.jpg\" alt=\"\" width=\"400\" height=\"147\" srcset=\"https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/f730a860-d990-4ae3-a339-aa2b49bf6ded_3500x1290-400x147.jpg 400w, https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/f730a860-d990-4ae3-a339-aa2b49bf6ded_3500x1290-900x332.jpg 900w, https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/f730a860-d990-4ae3-a339-aa2b49bf6ded_3500x1290-768x283.jpg 768w, https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/f730a860-d990-4ae3-a339-aa2b49bf6ded_3500x1290-1536x566.jpg 1536w, https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/f730a860-d990-4ae3-a339-aa2b49bf6ded_3500x1290-2048x755.jpg 2048w, https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/f730a860-d990-4ae3-a339-aa2b49bf6ded_3500x1290-753x278.jpg 753w\" sizes=\"auto, (max-width: 400px) 100vw, 400px\" \/><\/a>Azt r\u00e9g\u00f3ta tudjuk, hogy az agyhull\u00e1mok spektr\u00e1lis \u00f6sszet\u00e9tele \u2013 hogy mennyi van bel\u0151l\u00fck alacsony \u00e9s magas frekvenci\u00e1j\u00fa hull\u00e1mokb\u00f3l \u2013 olyan egy\u00e9ni jelleg, mint az ujjlenyomat. Logikusnak t\u0171nt, hogy ha az agynak van egy ennyire stabil alapm\u0171k\u00f6d\u00e9se, akkor ez t\u00fckr\u00f6zheti m\u00e1s stabil tulajdons\u00e1gainkat is \u2013 p\u00e9ld\u00e1ul az intelligenci\u00e1t. Kutat\u00e1sainkhoz egy amerikai adatb\u00e1zist, a MrOS-t haszn\u00e1ltuk fel. A 2000-es \u00e9vek k\u00f6zep\u00e9n Amerik\u00e1ban k\u00f6zel hatezer id\u0151s f\u00e9rfi kapott egy nagyon alapos orvosi vizsg\u00e1latot, eredetileg az\u00e9rt, hogy az id\u0151skori csontt\u00f6r\u00e9sek kock\u00e1zati t\u00e9nyez\u0151it vizsg\u00e1lj\u00e1k. A vizsg\u00e1latnak r\u00e9sze volt egyr\u00e9szt egy alv\u00e1si EEG-vizsg\u00e1lat is, m\u00e1sr\u00e9szt pedig egy neurol\u00f3giai kivizsg\u00e1l\u00e1s is, amiben n\u00e9h\u00e1ny egyszer\u0171 kognit\u00edv tesztet is megoldottak. B\u00e1r a neurol\u00f3giai kivizsg\u00e1l\u00e1s nem intelligenciateszt, a gyakorlatban az ilyen egyszer\u0171 tesztek eredm\u00e9nye is nagyon magasan korrel\u00e1l az IQ-val, \u00fagyhogy a tesztek \u00f6sszeredm\u00e9ny\u00e9r\u0151l felt\u00e9telezhetj\u00fck, hogy az intelligenci\u00e1hoz hasonl\u00f3 dolgot m\u00e9r. \u00d6sszesen 2910 szem\u00e9ly adat\u00e1t haszn\u00e1ltuk fel.<\/p>\n<p>El\u0151sz\u00f6r t\u00f6bb sz\u00e1z objekt\u00edv mutat\u00f3t sz\u00e1moltunk ki az alv\u00e1si EEG-jelb\u0151l, p\u00e9ld\u00e1ul spektr\u00e1lis teljes\u00edtm\u00e9nyt \u00e9s koherenci\u00e1t (k\u00e9t csatorna jel\u00e9nek hasonl\u00f3s\u00e1g\u00e1t). Ezt k\u00f6vet\u0151en kisz\u00e1moltuk n\u00e9gy neurol\u00f3giai teszt \u00fagynevezett \u00f6sszeredm\u00e9ny\u00e9t, mint az intelligencia becsl\u00e9s\u00e9t. A k\u00e9rd\u00e9s az volt, a kett\u0151 \u00f6sszef\u00fcgg-e. Figyeln\u00fcnk kellett azonban arra, hogy az intelligencia nem 1-2 dologgal mutat er\u0151s \u00f6sszef\u00fcgg\u00e9st, hanem sok apr\u00f3 EEG-k\u00fcl\u00f6nbs\u00e9g \u00f6sszess\u00e9ge k\u00fcl\u00f6nb\u00f6zteti meg az intelligens \u00e9s kev\u00e9sb\u00e9 intelligens r\u00e9sztvev\u0151ket. Szint\u00e9n fontos, hogy a 65-95 \u00e9ves mint\u00e1ban m\u00e1r sok eg\u00e9szs\u00e9g\u00fcgyi probl\u00e9ma zavarhatja a k\u00e9pet: a kognit\u00edv teszteken ny\u00fajtott teljes\u00edtm\u00e9ny romlik az \u00e9letkorral \u00e9s az alv\u00e1s is v\u00e1ltozik. Eredm\u00e9nyeink szerint h\u00e1rom dolog jellemezte az intelligensebb r\u00e9sztvev\u0151ket: 1) kevesebb th\u00e9ta \u00e9s 2) t\u00f6bb b\u00e9ta-frekvenci\u00e1s aktivit\u00e1s REM alv\u00e1sban, 3) er\u0151teljesebb alv\u00e1si ors\u00f3z\u00e1s NREM alv\u00e1sban. Ezek k\u00fcl\u00f6n-k\u00fcl\u00f6n k\u00f6r\u00fclbel\u00fcl harmadannyira f\u00fcggtek \u00f6ssze az intelligenci\u00e1val, mint az agy m\u00e9rete \u2013 <a href=\"https:\/\/ujmapeter.substack.com\/p\/iq-es-alvas\" target=\"_blank\" rel=\"noopener\">fogalmazott<\/a> dr. Ujma P\u00e9ter.<\/p>\n<div class=\"keretes w-100\">\n<p>Multivariate prediction of cognitive performance from the sleep electroencephalogram<br \/>\nP\u00e9ter P. Ujma (Semmelweis University, Institute of Behavioural Sciences), R\u00f3bert B\u00f3dizs (Semmelweis University, Institute of Behavioural Sciences), Martin Dresler (Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center Nijmegen), P\u00e9ter Simor (Institute of Psychology, E\u00f6tv\u00f6s Lor\u00e1nd University), Shaun Purcell (Department of Psychiatry, Brigham and Women&#8217;s Hospital, Harvard Medical School, Harvard University), Katie L. Stone (California Pacific Medical Center Research Institute; Department of Epidemiology and Biostatistics, University of California), Kristine Yaffe (Department of Epidemiology and Biostatistics, University of California; Department of Psychiatry, University of California; Department of Neurology, University of California; San Francisco VA Medical Center)<br \/>\nNeuroImage, Volume 279, 2023, 120319.<br \/>\n<a href=\"https:\/\/doi.org\/10.1016\/j.neuroimage.2023.120319\" target=\"_blank\" rel=\"noopener\">https:\/\/doi.org\/10.1016\/j.neuroimage.2023.120319<\/a><\/p>\n<\/div>\n<h5>\u00daton a migr\u00e9n hat\u00e9konyabb kezel\u00e9se fel\u00e9<\/h5>\n<p><a href=\"https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/Figure2_hun.png\"><img loading=\"lazy\" decoding=\"async\" class=\"alignleft size-medium wp-image-135196\" src=\"https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/Figure2_hun-400x400.png\" alt=\"\" width=\"400\" height=\"400\" srcset=\"https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/Figure2_hun-400x400.png 400w, https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/Figure2_hun-800x800.png 800w, https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/Figure2_hun-200x200.png 200w, https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/Figure2_hun-768x768.png 768w, https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/Figure2_hun-1536x1536.png 1536w, https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/Figure2_hun-2048x2048.png 2048w, https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/Figure2_hun-753x753.png 753w\" sizes=\"auto, (max-width: 400px) 100vw, 400px\" \/><\/a>A jelent\u0151s szenved\u00e9ssel j\u00e1r\u00f3 migr\u00e9nes fejf\u00e1j\u00e1s vil\u00e1gszerte t\u00f6bb mint 1 milli\u00e1rd embert \u00e9rint, \u00edgy a betegs\u00e9g hat\u00e9kony kezel\u00e9se kulcsfontoss\u00e1g\u00fa. Szerencs\u00e9re az ut\u00f3bbi \u00e9vekben jelent\u0151s el\u0151rel\u00e9p\u00e9s t\u00f6rt\u00e9nt a migr\u00e9n kialakul\u00e1s\u00e1nak meg\u00e9rt\u00e9s\u00e9ben. Kutat\u00f3k, t\u00f6bbek k\u00f6z\u00f6tt a mi kutat\u00f3csoportunk is, kimutatt\u00e1k, hogy migr\u00e9nes roham alatt kalcitonin g\u00e9n-rokon peptid (CGRP) szabadul fel az \u00e9rz\u0151 idegv\u00e9gz\u0151d\u00e9sekb\u0151l, mely hozz\u00e1j\u00e1rul a migr\u00e9nes fejf\u00e1j\u00e1s kialakul\u00e1s\u00e1hoz. Ez a felismer\u00e9s \u00f6szt\u00f6n\u00f6zte a CGRP-g\u00e1tl\u00f3 gy\u00f3gyszerek kifejleszt\u00e9s\u00e9t, melyek ma m\u00e1r a klinikai gyakorlatban is el\u00e9rhet\u0151k, \u00e9s forradalmi \u00e1tt\u00f6r\u00e9st hoztak a migr\u00e9nes betegek kezel\u00e9s\u00e9ben: a kor\u00e1bbi gy\u00f3gyszerekkel szemben nem puszt\u00e1n a m\u00e1r kialakult fejf\u00e1j\u00e1s rohamok enyh\u00edt\u00e9s\u00e9ben sikeresek, hanem a rohamok megel\u0151z\u00e9s\u00e9hez is hozz\u00e1j\u00e1rulnak, \u00e9s jav\u00edtj\u00e1k a betegek \u00e9letmin\u0151s\u00e9g\u00e9t is. Ugyanakkor ma m\u00e1r ismert, hogy a CGRP-g\u00e1tl\u00f3k is csak a betegek nagyj\u00e1b\u00f3l fel\u00e9ben hat\u00e1sosak, \u00e9s nem tudjuk el\u0151re megmondani azt, hogy kinek melyik gy\u00f3gyszer v\u00e1lik be, ami jelent\u0151sen megnehez\u00edti a migr\u00e9nnel \u00e9l\u0151k kezel\u00e9s\u00e9t.<\/p>\n<p>\u00d6sszefoglal\u00f3 tanulm\u00e1nyunkban ez\u00e9rt el\u0151bb \u00e1ttekintett\u00fck a migr\u00e9n ter\u00e1pi\u00e1j\u00e1ban jelenleg el\u00e9rhet\u0151 \u00e9s a m\u00e9g fejleszt\u00e9s alatt \u00e1ll\u00f3 gy\u00f3gyszerek legfrissebb vizsg\u00e1latait, valamint azokat a f\u0151bb t\u00e9nyez\u0151ket, amik nehez\u00edtik a kezel\u00e9st: a migr\u00e9nes betegek sokf\u00e9les\u00e9g\u00e9t, a migr\u00e9n mellett megjelen\u0151 m\u00e1s betegs\u00e9gek hat\u00e1sait \u00e9s az eg\u00e9szs\u00e9g\u00fcgyi ell\u00e1t\u00e1s neh\u00e9zs\u00e9geit. Ezut\u00e1n tanulm\u00e1nyunkban \u00f6sszefoglaltuk azokat az \u00fajabb kutat\u00e1si ir\u00e1nyvonalakat \u00e9s m\u00f3dszereket, mint p\u00e9ld\u00e1ul a modern genetikai, agyi k\u00e9palkot\u00f3 \u00e9s egy\u00e9b biomarker vizsg\u00e1latokat, melyek alkalmaz\u00e1s\u00e1val k\u00e9pesek lehet\u00fcnk a j\u00f6v\u0151ben k\u00fcl\u00f6nb\u00f6z\u0151 biol\u00f3giai folyamatok r\u00e9v\u00e9n kialakul\u00f3 migr\u00e9n-alt\u00edpusok elk\u00fcl\u00f6n\u00edt\u00e9s\u00e9re. Ezeknek a m\u00f3dszereknek az eredm\u00e9nyeit kombin\u00e1lva \u00e9s modern sz\u00e1m\u00edt\u00f3g\u00e9pes algoritmusok seg\u00edts\u00e9g\u00e9vel elemezve, a kutat\u00f3k c\u00e9lja a migr\u00e9n hat\u00e9konyabb, m\u00e9g ink\u00e1bb szem\u00e9lyre szabottabb kezel\u00e9s\u00e9nek megval\u00f3s\u00edt\u00e1sa &#8211; foglalta \u00f6ssze dr. Juh\u00e1sz Gabriella.<\/p>\n<div class=\"keretes w-100\">\n<p>Towards precision medicine in migraine: Recent therapeutic advances and potential biomarkers to understand heterogeneity and treatment response<br \/>\nGabriella Juhasz (Department of Pharmacodynamics, Faculty of Pharmaceutical Sciences, Semmelweis University; NAP3.0 Neuropsychopharmacology Research Group, Hungarian Brain Research Program, Semmelweis University), Kinga Gecse (Department of Pharmacodynamics, Faculty of Pharmaceutical Sciences, Semmelweis University; NAP3.0 Neuropsychopharmacology Research Group, Hungarian Brain Research Program, Semmelweis University), Daniel Baksa (Department of Pharmacodynamics, Faculty of Pharmaceutical Sciences, Semmelweis University; NAP3.0 Neuropsychopharmacology Research Group, Hungarian Brain Research Program, Semmelweis University; Department of Personality and Clinical Psychology, Institute of Psychology, Faculty of Humanities and Social Sciences, Pazmany Peter Catholic University)<br \/>\nPharmacology &amp; Therapeutics, Volume 250, October 2023, 108523.<br \/>\n<a href=\"https:\/\/doi.org\/10.1016\/j.pharmthera.2023.108523\" target=\"_blank\" rel=\"noopener\">https:\/\/doi.org\/10.1016\/j.pharmthera.2023.108523<\/a><\/p>\n<\/div>\n<h5>Az eg\u00e9szs\u00e9gi \u00e1llapot \u00e9s az eg\u00e9szs\u00e9g\u00fcgyi szolg\u00e1ltat\u00e1sok ig\u00e9nybev\u00e9tel\u00e9nek \u00f6sszehasonl\u00edt\u00f3 elemz\u00e9se a vid\u00e9ki \u00e9s v\u00e1rosi id\u0151sek k\u00f6r\u00e9ben, Magyarorsz\u00e1gon: tanulm\u00e1ny az eg\u00e9szs\u00e9ges \u00f6reged\u00e9s kih\u00edv\u00e1sair\u00f3l<\/h5>\n<p><a href=\"https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/abra_page-0001.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignleft size-medium wp-image-135197\" src=\"https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/abra_page-0001-283x400.jpg\" alt=\"\" width=\"283\" height=\"400\" srcset=\"https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/abra_page-0001-283x400.jpg 283w, https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/abra_page-0001-566x800.jpg 566w, https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/abra_page-0001-768x1086.jpg 768w, https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/abra_page-0001-1086x1536.jpg 1086w, https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/abra_page-0001-753x1065.jpg 753w, https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/abra_page-0001.jpg 1241w\" sizes=\"auto, (max-width: 283px) 100vw, 283px\" \/><\/a>Az id\u0151s\u00f6d\u0151 n\u00e9pess\u00e9g ar\u00e1ny\u00e1nak n\u00f6veked\u00e9se vil\u00e1gszerte \u00e9szlelhet\u0151 demogr\u00e1fiai folyamat. A k\u00f6z\u00e9p- \u00e9s kelet-eur\u00f3pai orsz\u00e1gokban ez az \u00e1talakul\u00e1s jelent\u0151s kih\u00edv\u00e1s az eg\u00e9szs\u00e9g\u00fcgyi ell\u00e1t\u00f3rendszerek sz\u00e1m\u00e1ra. A tanulm\u00e1nyban a legh\u00e1tr\u00e1nyosabb helyzet\u0171 magyar r\u00e9gi\u00f3 v\u00e1rosi \u00e9s vid\u00e9ki ter\u00fcletein \u00e9l\u0151 id\u0151sek eg\u00e9szs\u00e9gi \u00e1llapot\u00e1nak \u00e9s az eg\u00e9szs\u00e9g\u00fcgyi szolg\u00e1ltat\u00e1sok ig\u00e9nybev\u00e9tel\u00e9nek \u00f6sszehasonl\u00edt\u00e1s\u00e1t v\u00e9gezt\u00e9k el egy 2022-ben \u00c9szakkelet-Magyarorsz\u00e1gon a szerz\u0151k \u00e1ltal tervezett \u00e9s 443 id\u0151s feln\u0151tt (\u2265 65 \u00e9v) v\u00e9letlenszer\u0171en kiv\u00e1lasztott mint\u00e1j\u00e1n elv\u00e9gzett \u00e1tfog\u00f3 felm\u00e9r\u00e9s eredm\u00e9nyei alapj\u00e1n 443 id\u0151s feln\u0151tt (\u2265 65 \u00e9v) v\u00e9letlenszer\u0171en kiv\u00e1lasztott mint\u00e1j\u00e1n.<\/p>\n<p>A v\u00e1rosi id\u0151sek (27,8%; vid\u00e9k:19,7%) \u00e9rt\u00e9kelt\u00e9k nagyobb ar\u00e1nyban eg\u00e9szs\u00e9gi \u00e1llapotukat nagyon j\u00f3nak vagy j\u00f3nak, m\u00edg a mindennapi tev\u00e9kenys\u00e9geik korl\u00e1tozotts\u00e1g\u00e1t a vid\u00e9kiek (63,5%; v\u00e1ros: 52,6%) jelezt\u00e9k nagyobb gyakoris\u00e1ggal. A t\u00f6bbv\u00e1ltoz\u00f3s logisztikus regresszi\u00f3s elemz\u00e9sek eredm\u00e9nyei szerint a v\u00e1rosi lakoss\u00e1g eset\u00e9ben nagyobb val\u00f3sz\u00edn\u0171s\u00e9ggel t\u00f6rt\u00e9nt meg az okkult v\u00e9rz\u00e9s kimutat\u00e1s\u00e1t c\u00e9lz\u00f3 sz\u00e9kletvizsg\u00e1lat, vid\u00e9ken pedig v\u00e9rnyom\u00e1s \u00e9s v\u00e9rcukorszint m\u00e9r\u00e9s volt gyakoribb. Ezen eredm\u00e9nyek r\u00e1mutatnak a magyar id\u0151skor\u00fa n\u00e9pess\u00e9g k\u00f6r\u00e9ben a lak\u00f3hely \u00e9s az eg\u00e9szs\u00e9g\u00fcgyi szolg\u00e1ltat\u00e1sok ig\u00e9nybev\u00e9tel\u00e9nek \u00f6sszef\u00fcgg\u00e9seire, s a kiel\u00e9g\u00edtetlen sz\u00fcks\u00e9gletek azonos\u00edt\u00e1s\u00e1t is lehet\u0151v\u00e9 teszi. Fontos megjegyezni, hogy a magas korai hal\u00e1loz\u00e1si ar\u00e1ny a vid\u00e9ki lakosok k\u00f6r\u00e9ben azt eredm\u00e9nyezheti, hogy a legvesz\u00e9lyeztetettebb n\u00e9pess\u00e9gcsoportok m\u00e1r be sem ker\u00fclhettek ebbe a vizsg\u00e1latba, ami alapj\u00e1n az id\u0151s vid\u00e9ki lakoss\u00e1g eg\u00e9szs\u00e9gi \u00e1llapota a t\u00e9nylegesn\u00e9l kedvez\u0151bbnek t\u0171nhet a vizsg\u00e1lat eredm\u00e9nyei alapj\u00e1n &#8211; \u00edrta \u00f6sszefoglal\u00f3j\u00e1ban Juh\u00e1sz Attila.<\/p>\n<div class=\"keretes w-100\">\n<p>Comparative analysis of health status and health service utilization patterns among rural and urban elderly populations in Hungary: a study on the challenges of unhealthy aging<br \/>\nNora Kovacs (Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen; 2ELKH-DE Public Health Research Group, Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen), Peter Piko (Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen; Center for Epidemiology and Surveillance, National Laboratory for Health Security, Semmelweis University), Attila Juhasz (Center for Epidemiology and Surveillance, National Laboratory for Health Security, Semmelweis University), Csilla Nagy (Center for Epidemiology and Surveillance, National Laboratory for Health Security, Semmelweis University), Beatrix Oroszi (Center for Epidemiology and Surveillance, National Laboratory for Health Security, Semmelweis University), Zoltan Ungvari (Vascular Cognitive Impairment and Neurodegeneration Program, Oklahoma Center for Geroscience and Healthy Brain Aging, Department of Biochemistry and Molecular Biology, University of Oklahoma Health Sciences Center; Department of Health Promotion Sciences, College of Public Health, University of Oklahoma Health Sciences Center; International Training Program in Geroscience, Doctoral School of Basic and Translational Medicine, Departments of Public Health and Translational Medicine, Semmelweis University; The Peggy and Charles Stephenson Cancer Center, University of Oklahoma Health Sciences Center), Roza Adany (Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen; ELKH-DE Public Health Research Group, Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen; Center for Epidemiology and Surveillance, National Laboratory for Health Security, Semmelweis University; Department of Public Health, Semmelweis University)<br \/>\nGeroscience. 2023 Oct 6.<br \/>\n<span class=\"id-label\">DOI:\u00a0<\/span><a class=\"id-link\" href=\"https:\/\/doi.org\/10.1007\/s11357-023-00926-y\" target=\"_blank\" rel=\"noopener\">10.1007\/s11357-023-00926-y<\/a><\/p>\n<\/div>\n<h5>Az id\u0151skori esend\u0151s\u00e9g (frailty) \u00e9letkor \u00e9s nemek szerinti el\u0151fordul\u00e1sa Eur\u00f3pa 42 orsz\u00e1g\u00e1ban<\/h5>\n<p><a href=\"https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/ezgif.com-webp-to-jpg-converted-2.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignleft size-medium wp-image-135198\" src=\"https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/ezgif.com-webp-to-jpg-converted-2-312x400.jpg\" alt=\"\" width=\"312\" height=\"400\" srcset=\"https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/ezgif.com-webp-to-jpg-converted-2-312x400.jpg 312w, https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/ezgif.com-webp-to-jpg-converted-2-625x800.jpg 625w, https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/ezgif.com-webp-to-jpg-converted-2-768x984.jpg 768w, https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/ezgif.com-webp-to-jpg-converted-2-753x964.jpg 753w, https:\/\/semmelweis.hu\/hirek\/files\/2023\/12\/ezgif.com-webp-to-jpg-converted-2.jpg 873w\" sizes=\"auto, (max-width: 312px) 100vw, 312px\" \/><\/a>A esend\u0151s\u00e9g az \u00f6reged\u00e9shez kapcsol\u00f3d\u00f3 k\u00f3r\u00e9lettani v\u00e1ltoz\u00e1sok felhalmoz\u00f3d\u00e1sa, melynek eredm\u00e9nyek\u00e9ppen a szervezet kisebb betegs\u00e9gekre is jelent\u0151s eg\u00e9szs\u00e9gvesztes\u00e9ggel v\u00e1laszol. A esend\u0151s\u00e9g gyakoris\u00e1ga az \u00e9letkorral n\u0151, de az orsz\u00e1gok k\u00f6zt ebben jelent\u0151s k\u00fcl\u00f6nbs\u00e9gek lehetnek. Az orsz\u00e1gok \u00f6sszehasonl\u00edt\u00e1s\u00e1t nehez\u00edti a helyi vizsg\u00e1latok elt\u00e9r\u0151 m\u00f3dszertana vagy hi\u00e1nya.<\/p>\n<p>Kutat\u00e1sunk c\u00e9lja a esend\u0151s\u00e9g el\u0151fordul\u00e1s\u00e1nak becsl\u00e9se volt \u00e9letkor \u00e9s nem szerinti bont\u00e1sban minden eur\u00f3pai orsz\u00e1gban, a SHARE projekt 29 orsz\u00e1gban v\u00e9gzett 530 000 struktur\u00e1lt interj\u00faja alapj\u00e1n. Az \u00e9letkor, a nem \u00e9s az egy f\u0151re jut\u00f3 GDP hat\u00e1s\u00e1t t\u00f6bbv\u00e1ltoz\u00f3s vegyes regresszi\u00f3s modellben vizsg\u00e1ltuk, a hi\u00e1nyz\u00f3 adatok t\u00f6bbsz\u00f6r\u00f6s p\u00f3tl\u00e1s\u00e1val, illetve an\u00e9lk\u00fcl. A esend\u0151s\u00e9g el\u0151fordul\u00e1sa 65 \u00e9s 79 \u00e9ves kor k\u00f6z\u00f6tt szorosan \u00f6sszef\u00fcgg az orsz\u00e1g gazdas\u00e1gi fejletts\u00e9g\u00e9vel. A megfigyelt \u00e9s a modell \u00e1ltal j\u00f3solt adatok t\u00e9rk\u00e9pes \u00e9s t\u00e1bl\u00e1zatos form\u00e1ban is el\u00e9rhet\u0151ek a \u201cSHARE Frailty Atlas for Europe\u201d alkalmaz\u00e1sban. Eredm\u00e9nyeink felh\u00edvj\u00e1k a figyelmet az eg\u00e9szs\u00e9gi \u00e1llapotban megl\u00e9v\u0151 szakad\u00e9kra Eur\u00f3p\u00e1n bel\u00fcl, \u00e9s lehet\u0151v\u00e9 teszik az eg\u00e9szs\u00e9g-gazdas\u00e1gtani bizony\u00edt\u00e9kok orsz\u00e1gok k\u00f6zti \u00e1tad\u00e1sakor a lakoss\u00e1g eg\u00e9szs\u00e9gi \u00e1llapot\u00e1ban l\u00e9v\u0151 k\u00fcl\u00f6nbs\u00e9gek kvantitat\u00edv figyelembev\u00e9tel\u00e9t &#8211; fogalmazott dr. Vok\u00f3 Zolt\u00e1n.<\/p>\n<div class=\"keretes w-100\">\n<p>Frailty prevalence in 42 European countries by age and gender: development of the SHARE Frailty Atlas for Europe<br \/>\nJ\u00e1nos G. Pitter (Syreon Research Institute; Faculty of Pharmacy, Center for Health Technology Assessment and Pharmacoeconomic Research, University of P\u00e9cs), Antal Zempl\u00e9nyi (Syreon Research Institute; Faculty of Pharmacy, Center for Health Technology Assessment and Pharmacoeconomic Research, University of P\u00e9cs), Bal\u00e1zs Babarczy (Syreon Research Institute, Budapest), Bal\u00e1zs Babarczy (Syreon Research Institute, Budapest), Bertalan N\u00e9meth (Syreon Research Institute), Zolt\u00e1n Kal\u00f3 (Syreon Research Institute; Center for Health Technology Assessment, Semmelweis University), Zolt\u00e1n Vok\u00f3 (Syreon Research Institute; Center for Health Technology Assessment, Semmelweis University)<br \/>\nGeroScience (2023). <br \/>\n<a href=\"https:\/\/doi.org\/10.1007\/s11357-023-00975-3\" target=\"_blank\" rel=\"noopener\">https:\/\/doi.org\/10.1007\/s11357-023-00975-3<\/a><\/p>\n<\/div>\n<p>A r\u00f6vid \u00f6sszefoglal\u00f3kat a tudom\u00e1nyos publik\u00e1ci\u00f3k szerz\u0151i k\u00e9sz\u00edtett\u00e9k.<br \/>\nSzerkesztette: Szab\u00f3 \u00c1d\u00e1m<br \/>\nFot\u00f3: a publik\u00e1ci\u00f3kb\u00f3l sz\u00e1rmaz\u00f3 k\u00e9pek<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Cikksorozatunkban az egyetemhez k\u00f6thet\u0151 D1 min\u0151s\u00edt\u00e9s\u0171 tudom\u00e1nyos k\u00f6zlem\u00e9nyekr\u0151l olvashat\u00f3 r\u00f6vid \u00f6sszefoglal\u00f3.<\/p>\n","protected":false},"author":101751,"featured_media":102156,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[161,168],"tags":[4276],"class_list":["post-135181","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tudomany","category-kiemelt","tag-tudomanyos-hirado"],"acf":[],"_links":{"self":[{"href":"https:\/\/semmelweis.hu\/hirek\/wp-json\/wp\/v2\/posts\/135181","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/semmelweis.hu\/hirek\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/semmelweis.hu\/hirek\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/semmelweis.hu\/hirek\/wp-json\/wp\/v2\/users\/101751"}],"replies":[{"embeddable":true,"href":"https:\/\/semmelweis.hu\/hirek\/wp-json\/wp\/v2\/comments?post=135181"}],"version-history":[{"count":6,"href":"https:\/\/semmelweis.hu\/hirek\/wp-json\/wp\/v2\/posts\/135181\/revisions"}],"predecessor-version":[{"id":135807,"href":"https:\/\/semmelweis.hu\/hirek\/wp-json\/wp\/v2\/posts\/135181\/revisions\/135807"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/semmelweis.hu\/hirek\/wp-json\/wp\/v2\/media\/102156"}],"wp:attachment":[{"href":"https:\/\/semmelweis.hu\/hirek\/wp-json\/wp\/v2\/media?parent=135181"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/semmelweis.hu\/hirek\/wp-json\/wp\/v2\/categories?post=135181"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/semmelweis.hu\/hirek\/wp-json\/wp\/v2\/tags?post=135181"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}