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001-es BibID:BIBFORM072384
Első szerző:Csongrádi Alexandra (molekuláris biológus)
Cím:Optimized angiotensin-converting enzyme activity assay for the accurate diagnosis of sarcoidosis / Alexandra Csongrádi, Attila Enyedi, István Takács, Tamás Végh , Ivetta S. Mányiné, Zsófia Pólik, István Tibor Altorjay, József Balla, György Balla, István Édes, János Kappelmayer, Attila Tóth, Zoltán Papp, Miklós Fagyas
Dátum:2018
Megjegyzések:Background:Serum angiotensin-converting enzyme (ACE) activity determination can aid the early diagnosis of sarcoidosis. We aimed to optimize a fluorescent kinetic assay for ACE activity by screening the confounding effects of endogenous ACE inhibitors and interfering factors. Genotype-dependent and genotype-independent reference values of ACE activity were established, and their diagnostic accuracies were validated in a clinical study.Methods:Internally quenched fluorescent substrate, Abz-FRK(Dnp)P-OH was used for ACE-activity measurements. A total of 201 healthy individuals and 59 presumably sarcoidotic patients were enrolled into this study. ACE activity and insertion/deletion (I/D) genotype of the ACE gene were determined.Results:Here we report that serum samples should be diluted at least 35-fold to eliminate the endogenous inhibitor effect of albumin. No significant interferences were detected: up to a triglyceride concentration of 16 mM, a hemoglobin concentration of 0.71 g/L and a bilirubin concentration of 150 ?M. Genotype-dependent reference intervals were considered as 3.76?11.25 U/L, 5.22?11.59 U/L, 7.19?14.84 U/L for II, ID and DD genotypes, respectively. I/D genotype-independent reference interval was established as 4.85?13.79 U/L. An ACE activity value was considered positive for sarcoidosis when it exceeded the upper limit of the reference interval. The optimized assay with genotype-dependent reference ranges resulted in 42.5% sensitivity, 100% specificity, 100% positive predictive value and 32.4% negative predictive value in the clinical study, whereas the genotype-independent reference range proved to have inferior diagnostic efficiency.Conclusions:An optimized fluorescent kinetic assay of serum ACE activity combined with ACE I/D genotype determination is an alternative to invasive biopsy for confirming the diagnosis of sarcoidosis in a significant percentage of patients.
Tárgyszavak:Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
ACE
angiotensin-converting enzyme
genotype
reference interval
sarcoidosis
Megjelenés:Clinical chemistry and laboratory medicine. - 56 : 7 (2018), p. 1117-1125. -
További szerzők:Enyedi Attila (1975-) (sebész) Takács István (1963-) (sebész) Végh Tamás (1975-) (aneszteziológus, intenzív terápiás szakorvos) Mányiné Siket Ivetta (1962-) (laborasszisztens) Pólik Zsófia Altorjay István (1991-) (orvos, kardiológus) Balla József (1959-) (belgyógyász, nephrológus) Balla György (1953-) (csecsemő és gyermekgyógyász, neonatológus) Édes István (1952-) (kardiológus) Kappelmayer János (1960-) (laboratóriumi szakorvos) Tóth Attila (1971-) (biológus) Papp Zoltán (1965-) (kardiológus, élettanász) Fagyas Miklós (1984-) (orvos)
Pályázati támogatás:PD 116212
NKFIH
K 116940
OTKA
ÚNKP-17-4-I-DE-40
ÚNKP
GINOP-2.3.2-15-2016-00043
GINOP
Internet cím:Szerző által megadott URL
DOI
Intézményi repozitóriumban (DEA) tárolt változat
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2.

001-es BibID:BIBFORM103836
035-os BibID:(wos)000854410800001 (Scopus)85138156081
Első szerző:Fagyas Miklós (orvos)
Cím:The majority of severe COVID-19 patients develop anti-cardiac autoantibodies / Fagyas Miklós, Nagy Béla, Ráduly Arnold Péter, Mányiné Siket Ivetta, Mártha Lilla, Erdősi Gábor, Sipka Sándor, Enyedi Enikő, Szabó Attila Ádám, Pólik Zsófia, Kappelmayer János, Papp Zoltán, Borbély Attila, Szabó Tamás, Balla József, Balla György, Bai Péter, Bácsi Attila, Tóth Attila
Dátum:2022
ISSN:2509-2715 2509-2723
Megjegyzések:Severe cases of COVID-19 are characterized by an inflammatory burst, which is accompanied by multiorgan failure. The elderly population has higher risk for severe or fatal outcome for COVID-19. Inflammatory mediators facilitate the immune system to combat viral infection by producing antibodies against viral antigens. Several studies reported that the pro-inflammatory state and tissue damage in COVID-19 also promotes autoimmunity by autoantibody generation. We hypothesized that a subset of these autoantibodies targets cardiac antigens. Here we aimed to detect anti-cardiac autoantibodies in severe COVID-19 patients during hospitalization. For this purpose, 104 COVID-19 patients were recruited, while 40 heart failure patients with dilated cardiomyopathy and 20 patients with severe aortic stenosis served as controls. Patients were tested for anti-cardiac autoantibodies, using human heart homogenate as a bait. Follow-up samples were available in 29 COVID-19 patients. Anti-cardiac autoantibodies were detected in 68% (71 out of 104) of severe COVID-19 patients. Overall, 39% of COVID-19 patients had anti-cardiac IgG autoantibodies, while 51% had anti-cardiac autoantibodies of IgM isotype. Both IgG and IgM anti-cardiac autoantibodies were observed in 22% of cases, and multiple cardiac antigens were targeted in 38% of COVID-19 patients. These anti-cardiac autoantibodies targeted a diverse set of myocardial proteins, without apparent selectivity. As controls, heart failure patients (with dilated cardiomyopathy) had similar occurrence of IgG (45%, p = 0.57) autoantibodies, while significantly lower occurrence of IgM autoantibodies (30%, p = 0.03). Patients with advanced aortic stenosis had significantly lower number of both IgG (11%, p = 0.03) and IgM (10%, p < 0.01) type anti-cardiac autoantibodies than that in COVID-19 patients. Furthermore, we detected changes in the anti-cardiac autoantibody profile in 7 COVID-19 patients during hospital treatment. Surprisingly, the presence of these anti-cardiac autoantibodies did not affect the clinical outcome and the prevalence of the autoantibodies did not differ between the elderly (over 65 years) and the patients younger than 65 years of age. Our results demonstrate that the majority of hospitalized COVID-19 patients produce novel anti-cardiac IgM autoantibodies. COVID-19 also reactivates resident IgG autoantibodies. These autoantibodies may promote autoimmune reactions, which can complicate post-COVID recuperation, contributing to post-acute sequelae of COVID-19 (long COVID).
Tárgyszavak:Orvostudományok Elméleti orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
COVID-19
Anti-cardiac autoantibodies
SARS-CoV-2
Megjelenés:GeroScience. - 44 (2022), p. 2347-2360. -
További szerzők:Nagy Béla Jr. (1980-) (labordiagnosztikai szakorvos) Ráduly Arnold Péter (1993-) Mányiné Siket Ivetta (1962-) (laborasszisztens) Mártha Lilla Erdősi Gábor Sipka Sándor ifj. (1980-) (orvos) Enyedi Enikő Edit (1995-) (orvosi laboratóriumi analitikus) Szabó Attila Ádám (1996-) (orvos) Pólik Zsófia Kappelmayer János (1960-) (laboratóriumi szakorvos) Papp Zoltán (1965-) (kardiológus, élettanász) Borbély Attila (1978-) (kardiológus) Szabó Tamás (1968-) (gyermekgyógyász) Balla József (1959-) (belgyógyász, nephrológus) Balla György (1953-) (csecsemő és gyermekgyógyász, neonatológus) Bai Péter (1976-) (biokémikus) Bácsi Attila (1967-) (immunológus) Tóth Attila (1971-) (biológus)
Pályázati támogatás:GINOP-2.3.2-15-2016-00050
GINOP
Internet cím:Szerző által megadott URL
DOI
Intézményi repozitóriumban (DEA) tárolt változat
Borító:

3.

001-es BibID:BIBFORM114386
035-os BibID:(WoS)001060165600001 (Scopus)85169334322
Első szerző:Tóth Emese (biotechnológus)
Cím:Distinct subsets of anti-pulmonary autoantibodies correlate with disease severity and survival in severe COVID-19 patients / Emese Tóth, Miklós Fagyas, Béla Nagy Jr., Ivetta Mányiné Siket, Blanka Szőke, Lilla Mártha, Mohamed Mahdi, Gábor Erdősi, Zsófia Pólik, János Kappelmayer, Zoltán Papp, Attila Borbély, Tamás Szabó, József Balla, György Balla, Attila Bácsi, Zoltán Szekanecz, Péter Bai, Attila Tóth
Dátum:2024
ISSN:2509-2715 2509-2723
Megjegyzések:Autoantibodies targeting the lung tissue were identified in severe COVID-19 patients in this retrospective study. Fifty-three percent of 104 patients developed anti-pulmonary antibodies, the majority of which were IgM class, suggesting that they developed upon infection with SARS-CoV-2. Anti-pulmonary antibodies correlated with worse pulmonary function and a higher risk of multiorgan failure that was further aggravated if 3 or more autoantibody clones were simultaneously present (multi-producers). Multi-producer patients were older than the patients with less or no autoantibodies. One of the identified autoantibodies (targeting a pulmonary protein of ~ 50 kDa) associated with worse clinical outcomes, including mortality. In summary, severe COVID-19 is associated with the development of lung-specific autoantibodies, which may worsen the clinical outcome. Tissue proteome-wide tests, such as the ones applied here, can be used to detect autoimmunity in the post-COVID state to identify the cause of symptoms and to reveal a new target for treatment.
Tárgyszavak:Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Autoantibody
Clinical outcome
IgG
IgM
Lung
Mortality
Multi-producer
Post-COVID
SARS-CoV-2
Severe COVID-19
Megjelenés:GeroScience. - 46 : 2 (2024), p. 1561-1574. -
További szerzők:Fagyas Miklós (1984-) (orvos) Nagy Béla Jr. (1980-) (labordiagnosztikai szakorvos) Mányiné Siket Ivetta (1962-) (laborasszisztens) Szőke Blanka Mártha Lilla Mahdi, Mohamed (1979-) (orvos, tudományos segédmunkatárs) Erdősi Gábor Pólik Zsófia Kappelmayer János (1960-) (laboratóriumi szakorvos) Papp Zoltán (1965-) (kardiológus, élettanász) Borbély Attila (1978-) (kardiológus) Szabó Tamás Balla József (1959-) (belgyógyász, nephrológus) Balla György (1953-) (csecsemő és gyermekgyógyász, neonatológus) Bácsi Attila (1967-) (immunológus) Szekanecz Zoltán (1964-) (reumatológus, belgyógyász, immunológus) Bai Péter (1976-) (biokémikus) Tóth Attila (1971-) (biológus)
Pályázati támogatás:ÚNKP-23-5-DE-482
Egyéb
Internet cím:Szerző által megadott URL
DOI
Intézményi repozitóriumban (DEA) tárolt változat
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