T cell immune response predicts survival in severely ill COVID-19 patients requiring venovenous extracorporeal membrane oxygenation support.

Introduction: There is a critical gap in understanding which SARS-CoV-2 patients would benefit most from venovenous extracorporeal membrane oxygenation (VV-ECMO) support. The potential role of a dysregulated immune response is still unclear in this patient population. Objectives: To assess the potential predictive value of SARS-CoV-2 specific cellular and humoral immune responses for survival in critically ill COVID-19 patients requiring VV-ECMO. Methods: We conducted a prospective single-center observational study of unvaccinated patients requiring VV-ECMO support treated at the intensive care unit of Semmelweis University Heart and Vascular Center between March and December 2021. Peripheral blood samples were collected to measure the humoral and cellular immune statuses of the patients at the VV-ECMO cannulation. Patients were followed until hospital discharge. Results: Overall, 35 COVID-19 patients (63% men, median age 37 years) on VV-ECMO support were included in our study. The time from COVID-19 verification to ECMO support was a median (IQR) of 10 (7-14) days. Of the patients, 9 (26%) were discharged alive and 26 (74%) died during their hospital stay. Immune tests confirmed ongoing SARS-CoV-2 infection in all the patients, showing an increased humoral immune response. SARS-CoV-2-specific cellular immune response was significantly higher among survivors compared to the deceased patients. A higher probability of survival was observed in patients with markers indicating a higher T cell response detected by both QuantiFeron (QF) and flow cytometry (Flow) assays. (Flow S1 CD8+ ≥ 0.15%, Flow S1 CD4+ ≥ 0.02%, QF CD4 ≥ 0.07, QF whole genome ≥ 0.59). In univariate Cox proportional hazard regression analysis BMI, right ventricular (RV) failure, QF whole genome T cell level, and Flow S1 CD8+ T cell level were associated with mortality, and we found that an increased T cell response showed a significant negative association with mortality, independent of BMI and RV failure. Conclusion: Evaluation of SARS-CoV-2 specific T cell response before the cannulation can aid the risk stratification and evaluation of seriously ill COVID-19 patients undergoing VV-ECMO support by predicting survival, potentially changing our clinical practice in the future.

[COVID-19 infections and effectiveness of the vaccination among healthcare workers]. / A COVID­19-fertozés és a védooltások hatásosságának vizsgálata egészségügyi dolgozókon.

INTRODUCTION: New variants of the SARS-CoV-2 coronavirus are constantly appearing, causing the COVID-19 pandemic. From November 2021, most infections were caused by the Omicron coronavirus variant. OBJECTIVE: The aim of this prospective observational cohort study was to estimate the incidence of COVID-19 infections in the high-risk healthcare workers after two BNT162b2 mRNA Pfizer-BioNTech vaccines and the subsequent booster vaccine, as well as the effectiveness, the safety and the humoral immune response of the vaccines. METHOD: We started the two Pfizer-BioNTech ((BNT162b29) vaccinations of healthcare workers of the Polyclinic of the Hospitaller Brothers of St. John between January 07 and March 08, 2021. The choice of the type and timing of the third booster vaccination was voluntary. The workers were followed up between January 07, 2021 and June 29, 2022. The infection rate, adverse events of the vaccination, risk factors to infection and the kinetics of anti-spike (S) antibody and anti-nucleocapsid (N) antibody serum level were evaluated. RESULTS: The data of 294 healthcare workers - 96 medical doctors, 127 nurses and 71 workers in hospital - who had at least three antibody level measurements were analyzed. The third booster vaccine was given to 280 workers, the distribution of the vaccines was the following: Pfizer-BioNTech (BNT162b29) vaccine (n = 210), Moderna COVID-19 (mRNA-1273) vaccine (n = 37), Sinopharm COVID-19 vaccine (n = 21), Janssen COVID-19 (n = 10), AstraZeneca (ChAdOx1 nCoV-19) vaccine (n = 2). Infection occurred in 121 cases (41%) during the observation period. The course of the COVID-19 infections was mostly mild (97%) and recovered within a week. During the observational period, 2 workers died: a 56-year-old woman died after two vaccinations for reason unrelated to COVID-19 infection, and a 58-year-old man died after the booster vaccination, following COVID-19 infection. The incidence of infection did not correlate with age, sex, comorbidities, smoking, occupation and BMI. The median titre of anti-S antibody serum level increased one month after the second vaccination of the basic immunization (1173.0 U/ml) and decreased slowly until the 8th month (678.5-625.8-538.0 U/ml) after the basic vaccination. One month after the booster vaccination, the median titre of anti-S antibody serum level increased significantly (16 535 U/ml), and showed a decreasing trend in the 3rd month after the booster vaccination (9697.7 U/ml). An exceptionally high S antibody serum level increasing after the basic (>10 000 U/mL) and booster (>60 000 U/m) vaccination showed a correlation with prior COVID-19 infection. The median cut-off index (COI) of anti-N antibody was not affected by vaccination, the increasing of the titre is related to the infection. CONCLUSION: The booster vaccination had less effect on the infection caused by Omicron variant, but the course of the infection was milder. Compared to the basic immunisation, the booster vaccination caused a significant increase in the S antibody level. An exceptionally high S antibody level correlated with prior COVID-19 infection. Orv Hetil. 2023; 164(5): 163-171.

Factors influencing the SARS-CoV-2 infection and vaccination induced immune response in rheumatoid arthritis.

Background: To investigate the factors that have significant impact on the Severe Acute Respiratory Syndrome Corona Virus 2 (SARS-CoV-2) infection and vaccination induced immune response in rheumatoid arthritis (RA). Methods: Serological response was measured by quantifying anti-SARS-CoV-2 specific antibodies, while the cell-mediated response was measured by a whole-blood test quantifying the interferon (IFN)-γ response to different SARS-CoV-2-specific domains. Results: We prospectively enrolled 109 RA patients and 43 healthy controls. The median time (IQR) between the confirmed infection or the last vaccination dose and the day when samples were taken ("sampling interval") was 3.67 (2.03, 5.50) months in the RA group. Anti-Spike (anti-S) specific antibodies were detected in 94% of RA patients. Among the investigated patient related variables, age (p<0.004), sampling interval (p<0.001), the brand of the vaccine (p<0.001) and targeted RA therapy (TNF-inhibitor, IL-6 inhibitor, anti-CD20 therapy) had significant effect on the anti-S levels. After covariate adjustment TNF-inhibitor therapy decreased the anti-S antibody concentrations by 80% (p<0.001). The same figures for IL-6 inhibitor and anti-CD20 therapy were 74% (p=0.049) and 97% (p=0.002), respectively. Compared to subjects who were infected but were not vaccinated, the RNA COVID-19 vaccines increased the anti-S antibody levels to 71.1 (mRNA-1273) and 36.0 (BNT162b2) fold (p<0.001). The corresponding figure for the ChAdOx1s vaccine is 18.1(p=0.037). Anti-CCP (anti-cyclic citrullinated peptides) positive patients had 6.28 times (p= 0.00165) higher anti-S levels, than the anti-CCP negative patients. Positive T-cell response was observed in 87% of the healthy volunteer group and in 52% of the RA patient group. Following vaccination or infection it declined significantly (p= 0.044) but more slowly than that of anti-S titer (6%/month versus 25%). Specific T-cell responses were decreased by 65% in patients treated with anti-CD20 therapy (p=0.055). Conclusion: Our study showed that the SARS-CoV-2-specific antibody levels were substantially reduced in RA patients treated with TNF-α-inhibitors (N=51) and IL-6-inhibitor (N=15). In addition, anti-CD20 therapy (N=4) inhibited both SARS-CoV-2-induced humoral and cellular immune responses. Furthermore, the magnitude of humoral and cellular immune response was dependent on the age and decreased over time. The RNA vaccines and ChAdOx1s vaccine effectively increased the level of anti-S antibodies.

Immunogenicity and safety of the BNT162b2 mRNA COVID-19 vaccine in healthcare workers / A BNT162b2 mRNS-Pfizer-BioNTech-védooltás hatásosságának és immunogenitásának monitorozása egészségügyben dolgozókon.

Összefoglaló. Bevezetés: A SARS-CoV-2 koronavírus okozta COVID-19 általános egészségügyi és gazdasági krízist idézett elo. Célkituzés: A megfigyeléses vizsgálat célja a BNT162b2 mRNS-Pfizer-BioNTech-vakcina hatásosságának, biztonságosságának és immunogenitásának igazolása a Budai Irgalmasrendi Kórház dolgozóin. Módszer: A vakcina adása után elemeztük a COVID-19-fertozés elofordulását, az oltások utáni reakciókat, valamint a "spike" (S-) protein és a nukleokapszid (N)-protein elleni ellenanyag szintjének változását. Eredmények: A felmérésben részt vevo 295 dolgozó közül az oltást megelozoen 36 dolgozó esett át COVID-19-fertozésen (COVID-19-pozitív csoport). A második oltás után a megfigyelési idoszak három hónapjában COVID-19-fertozés nem alakult ki a felmérésben részt vevo oltott dolgozók körében. Az oltási reakciók enyhék voltak. A COVID-19-pozitív csoportban az N-antitestek medián küszöbértékindexe az elso vakcina után 4 héttel mérve szignifikánsan magasabb volt (28,37), mint a COVID-19-negatív (0,085) csoportban (p<0,0001). Az elso vakcina után 4 héttel az S-antitestek medián értéke (8015 U/ml) a COVID-19-pozitív csoportban szignifikánsan magasabb volt (p<0,0001), mint a COVID-19-negatív csoportban (23,18 U/ml). A COVID-19-negatív csoport S-antitest-középértéke a második vakcina után szignifikáns (p<0,0001), mintegy 500×-os emelkedést mutatott (23,18 U/ml rol 1173 U/ml-re). Egy vakcina hatásosságát a fertozések terjedésének megakadályozása igazolja. Következtetések: A második vakcina utáni megfigyelési idoszakban új COVID-19-fertozés nem volt az oltott dolgozók körében. A fertozésen át nem esett COVID-19-negatív egyének esetén az S-antitest emelkedése mérsékelt az elso oltás után, míg a második oltás után lényegesen emelkedik. A COVID-19-fertozésen átesett egyének csoportjában már az elso vakcina is jelentos S-antitest-termelodést vált ki. Orv Hetil. 2021; 162(39): 1551-1557. INTRODUCTION: The coronavirus disease 2019 (COVID-19) pandemic caused global public health and economic crises. OBJECTIVE: The aim of this observation study was to estimate the effectiveness, safety and elicited immune response of the BNT162b2 mRNA Pfizer-BioNTech vaccine in healthcare workers of the Buda Hospital of the Hospitaller Order of St. John of God. METHOD: After vaccination, the infection rate, adverse events and the kinetics of anti-SARS-CoV-2 spike (S) protein and anti-SARS-CoV-2 nucleocapsid (N) protein antibodies were evaluated. RESULTS: Before vaccination, from the 295 healthcare workers 36 recovered from prior COVID-19 infection (COVID-19-positive group). After the second vaccination, there was no COVID-19 infection during the three-month follow-up period. The adverse events were mild. In the COVID-19-positive group, the median cut-off index of anti-N antibodies measured at 4 weeks after the first vaccination were significantly (p<0.0001) higher (28.37) than in the COVID-19-negative group (0.085). After the first vaccine, the median titer of anti-S antibodies was significantly higher (p<0.0001) in the COVID-19-positive group (8015 U/ml) compared to the COVID-19-negative group (23.18 U/ml). In the COVID-19-negative group, the median titer of anti-S antibodies increased significantly (p<0.0001) after the second vaccine (from 23.18 U/ml to 1173 U/ml), showing an increase of 500×. CONCLUSIONS: After the second vaccination, there was no COVID-19 infection during the follow-up. In the COVID-19-negative group, the anti-S antibody titer is moderate after the first vaccination and increases significantly after the second vaccine. In the COVID-19-positive group, the first vaccine induces significant anti-S antibody production. Orv Hetil. 2021; 162(39): 1551-1557.

Synthesis of Indolo[2,3-c]quinolin-6(7H)-ones and Antimalarial Isoneocryptolepine. Computational Study on the Pd-Catalyzed Intramolecular C-H Arylation.

The synthesis of variously substituted indolo[2,3-c]quinolin-6(7H)-ones was developed via Pd-catalyzed intramolecular C-H arylation. This method highlights a strategy for preparing indoloquinoline precursors bearing versatile functional groups and provides a new approach for the synthesis of antimalarial isoneocryptolepine analogues. The plausible ring closure mechanism was examined with quantum chemical calculations, where a trigonal bipyramidal concerted metalation-deprotonation transition state is presumable.

Rate constant determination of interconverting enantiomers by chiral chromatography using a stochastic model.

It may happen under the conditions employed that enantiomers interconvert to each other. In this case, obviously, the kinetics of the process is to be examined. When enantiomers dynamically interconvert to each other during the separation process, a plateau is observed between the adjacent peaks (so-called Batman peak appears). The peak shape depends on the rate constant of this dynamic reaction. A novel stochastic model was derived which takes both the separation and the interconversion into account at the molecular level - thus the effects of the parameters affecting the separation can be investigated. The novel model was used for the study of quetiapine, a drug molecule that interconverts during the separation to evaluate the rate constant based on the enantiomerization. Various flow rates and temperatures were used, and good agreement was obtained with the rate constant obtained from optical rotation experiments and with the software written by Trapp [1]. The most important result we concluded is the need of mild conditions during the separation to ascertain the rate constant the most accurately (low flow rates and temperatures where the enantiomerization process is limited to a few interconversions). The comparison of the rate constants of the on-column and the off-column experiments should be done by considering the stationary phase effects that are absent in the off-column experiments.