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1.

001-es BibID:BIBFORM132684
Első szerző:Barabás Márton (orvos)
Cím:Correlation between Adverse Events Therapeutic Response and Microbiome Changes / Barabás M., Gal K., Tolnai E., Dávid P., Fauszt P. Z., Mikolás M., Paholcsek M., Remenyik J., Kovács Á.
Dátum:2025
ISSN:0360-3016
Megjegyzések:Purpose/Objective(s): This study aims to characterize microbiota and microbiome changes during neoadjuvant chemoradiation therapy (nCRT) for rectal cancer patients. Despite advancements in radiotherapy planning, pelvic radiation can inadvertently damage normal tissues and disrupt gut microbiota, leading to severe side effects. Among key microbial components, short-chain fatty acid (SCFA)-producing bacteria play a pivotal role in preserving gut homeostasis by maintaining epithelial integrity and producing anti-inflammatory metabolites. This study seeks to identify specific SCFA-producing bacterial taxa critical for gut health and evaluate their potential as biomarkers for predicting treatment response and adverse events. Materials/Methods: Thirteen patients with histologically confirmed rectal adenocarcimona undergoing nCRT per protocol, were included in the study. Fecal samples were collected at three time points: pre-treatment, mid-treatment, and post-treatment. Adverse events were assessed using the Common Terminology Criteria for Adverse Events (CTCAE) v5.0, and treatment responses were categorized according to the Tumor Regression Grade (TRG) system. A sex- and age-matched voluntary healthy control group was used for comparison. DNA extraction from 0.25 g fecal samples was performed using the DNeasy PowerSoil Pro Kit. Shotgun metagenomic sequencing was conducted on an Illumina NovaSeq 6000 (150-bp paired-end run, Novogene Bioinformatics Technology). Microbial analysis was carried out using the SqueezeMeta pipeline (v1.6.3), with taxonomic assignment via DIAMOND v2.19 against the GenBank nr database. Antibiotic resistome prediction was performed using the Resistance Gene Identifier (RGI) software with the Comprehensive Antibiotic Resistance Database (CARD). Results: Among the 13 patients, nine exhibited stable microbiota composition throughout treatment, whereas four showed significant microbial alterations. Five patients experienced mild to severe diarrhea, and four of these cases coincided with notable shifts in gut microbiota composition. Analysis of TRG grading revealed a correlation between SCFA-producing taxa, therapeutic response, and severe adverse events. Patients with pronounced SCFA-producing bacterial shifts exhibited stronger associations with both treatment outcomes and toxicity profiles. Conclusion: Gut microbiota alterations, particularly changes in SCFA-producing bacterial taxa, are closely linked to therapeutic response and treatmentrelated toxicity in nCRT for rectal cancer. These findings suggest that monitoring SCFA-producing microbiota could aid in developing postbiotic interventions to mitigate adverse events and enhance treatment efficacy. Future research should explore microbiome-targeted strategies to optimize patient outcomes and establish predictive biomarkers for radiation-induced toxicity
Tárgyszavak:Orvostudományok Klinikai orvostudományok idézhető absztrakt
folyóiratcikk
Megjelenés:International Journal Of Radiation Oncology Biology Physics. - 123 : 1 (2025), p. e627. -
További szerzők:Gál Kristóf (1994-) (orvos) Szilágyi-Tolnai Emese (1988-) (Molekuláris biológus) Dávid Péter (1984-) (biológia tanár) Fauszt Péter (1992-) (mikrobiom) Mikolás Maja (2000-) (molekuláris biológus) Paholcsek Melinda (1984-) (molekuláris biológus, genetikus) Gálné Remenyik Judit (1965-) (kémia tanár, okleveles vegyész) Kovács Árpád (1979-) (onkoradiológus, klinikai onkológus)
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2.

001-es BibID:BIBFORM132683
Első szerző:Gál Kristóf (orvos)
Cím:Analysis of the miRNome Expression Profile in Saliva Samples as a Function of Neoadjuvant Chemoradiotherapy in a Rectal Cancer Study Population Using Next-Generation Sequencing / Gal K., Barabás M., Tolnai E., Dávid P., Fauszt P. Z., Paholcsek M., Remenyik J., Kovács Á.
Dátum:2025
ISSN:0360-3016
Megjegyzések:Purpose/Objective(s): This study aimed to define miRNAs in rectal cancer patients that change in patients' saliva due to the neoadjuvant concurrent chemoradiotherapy. Furthermore, we investigated the perceivable differences in correlations between microRNAs in healthy and rectal cancer groups. Our further aim was to identify possible miRNAs that may serve ase472 Poster Q&A Abstracts International Journal of Radiation Oncology Biology Physics potential markers of the effectiveness in neoadjuvant concurrent chemoradiotherapy in further studies. Materials/Methods: Eleven patients with locally advanced rectal adenocarcinoma receiving concurrent neoadjuvant chemoradiotherapy were included in the study. Saliva samples were taken from the patients before the first and last treatment fractions. We performed an in-depth analysis of high-throughput small transcriptome sequencing data obtained from the saliva samples of our study cohort of 31 including the 11 rectal cancer patients and 20 healthy volunteers. Total RNA isolation was performed using the MagMaxTM mirVanaTM Total RNA Isolation Kit. RNA quality was measured using Agilent Tapestation 4200. Small RNA libraries were prepared using NebNext Small RNA Library Prep Set kit. Small RNA libraries were sequenced on Illumina NextSeq 550 System with read lengths of 75 bp, single-end reads. After in silico bioinformatics analyses of sequenced data, microRNAs were annotated and differential expression analyses were performed using EdgeR R package. Differentially expressed miRNAs were validated using RT-qPCR reaction. Results: By integrating in silico bioinformatic analyses of small noncoding RNA data, 147 miRNAs were identified as having a read number above 10 RPM(RPM>10) in both healthy controls and patient study groups (before the first and the last radiation fraction). For further analysis we assessed this set of miRNAs. According to our results, 37 miRNAs showed significant expression differences in rectal cancer patients compared to healthy control groups. Furthermore, 7 miRNAs (hsa-miR-378a-3p, hsa-miR203a-3p, hsa-miR-200a-3p, hsa-miR-152-3p, hsa-miR-361-5p, hsa-miR107 and hsa-miR-221-5p) showed significantly altered expression associated with concurrent chemoradiotherapy. The expression levels of these miRNAs were successfully quantified by qRT-PCR. Conclusion: miRNAs as epigenetic modulators have been extensively researched. In recent years, many miRNAs have been discovered as tumor suppressors or oncogenes and miRNA expression levels determined in blood or feces can provide useful information for diagnosis, prognosis, or therapeutic outcome. The present study provides insightful results on the changes observed in saliva, which can serve as valuable biomarkers for assessing therapeutic effectiveness.
Tárgyszavak:Orvostudományok Klinikai orvostudományok idézhető absztrakt
folyóiratcikk
Megjelenés:International Journal Of Radiation Oncology Biology Physics. - 123 : 1 (2025), p. e 471-472. -
További szerzők:Barabás Márton (1994-) (orvos) Szilágyi-Tolnai Emese (1988-) (Molekuláris biológus) Dávid Péter (1984-) (biológia tanár) Fauszt Péter (1992-) (mikrobiom) Paholcsek Melinda (1984-) (molekuláris biológus, genetikus) Gálné Remenyik Judit (1965-) (kémia tanár, okleveles vegyész) Kovács Árpád (1979-) (onkoradiológus, klinikai onkológus)
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3.

001-es BibID:BIBFORM133088
Első szerző:Gál Kristóf (orvos)
Cím:Analysis of the Circulating miRNome Expression Profile in Saliva Samples After Neoadjuvant Chemoradiotherapy in a Rectal Cancer Study Population Using Next-Generation Sequencing / Gál Kristóf, Dávid Péter, Paholcsek Melinda, Barabás Márton, Szilágyi Endre, Balogh Krisztina, Solymosi Dóra, Miklós Szidónia, Mikáczó Johanna, Trási Krisztina, Csiki Emese, Simon Mihály, Fauszt Péter, Póliska Szilárd, Remenyik Judit, Kovács Árpád, Szilágyi-Tolnai Emese
Dátum:2025
ISSN:1661-6596 1422-0067
Megjegyzések:Dysregulated microRNAs (miRNAs) have been implicated in the pathogenesis and progression of rectal adenocarcinoma. In this study, we aimed to identify miRNA alterations associated with the efficacy of neoadjuvant chemoradiotherapy in rectal cancer patients. High-throughput small RNA sequencing was performed to assess salivary miRNA expression profiles in 31 participants (11 rectal adenocarcinoma patients and 20 healthy volunteers). Paired saliva samples were collected from patients before and after chemoradiation. Tumor regression was classified according to the modified Ryan scheme into responders (tumor regression grade [TRG] 1?2, n = 10) and nonresponders (TRG3, n = 1). Bioinformatic integration of small non-coding RNA data revealed 37 miRNAs with distinct expression differences between patients and healthy controls. Furthermore, seven miRNAs showed significant alterations in response to radiotherapy. Among these, five candidates (hsa-miR-378a-3p, hsa-miR-203a-3p, hsa-miR-200a-5p, hsa-miR-361-5p, and hsa-miR-107) were successfully validated by RT-qPCR, displaying significantly increased salivary expression levels post-radiation compared with the pre-radiation samples (p < 0.05). Notably, hsa-miR-203a-3p, hsa-miR-200a-5p, and hsa-miR-361-5p demonstrated excellent discriminatory power for tumor regression grade (AUC > 0.7). Our findings support the involvement of specific salivary miRNAs in rectal adenocarcinoma tumor regression and highlight their potential as non-invasive biomarkers to evaluate treatment response following neoadjuvant chemoradiotherapy.
Tárgyszavak:Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
miRNAs
rectal cancer
neoadjuvant concurrent chemoradiotherapy
tumor regression grade
Megjelenés:International Journal Of Molecular Sciences. - 26 : 21 (2025), p. 1-22. -
További szerzők:Dávid Péter (1984-) (biológia tanár) Paholcsek Melinda (1984-) (molekuláris biológus, genetikus) Barabás Márton (1994-) (orvos) Szilágyi Endre (1986-) (Okleveles állattenyésztő mérnök) Balogh Krisztina Solymosi Dóra Miklós Szidónia Mikáczó Johanna (1997-) (általános orvos) Loós-Trási Krisztina (1996-) (orvos) Csiki Emese (1986-) (onkoradiológus) Simon Mihály Fauszt Péter (1992-) (mikrobiom) Póliska Szilárd (1978-) (biológus) Gálné Remenyik Judit (1965-) (kémia tanár, okleveles vegyész) Kovács Árpád (1979-) (onkoradiológus, klinikai onkológus) Szilágyi-Tolnai Emese (1988-) (Molekuláris biológus)
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4.

001-es BibID:BIBFORM132589
035-os BibID:(WoS)001527609800006
Első szerző:Mikolás Maja (molekuláris biológus)
Cím:Analysis of ICU resistome dynamics in patients, staff and environment for the identification of predictive biomarkers of sepsis and early mortality / Maja Mikolas, Peter Fauszt, Annamaria Petrilla, Peter Nemeth, Peter David, Emese Szilagyi-Tolnai, Anna Szilagyi-Racz, Aniko Stagel, Ferenc Gal, Kristof Gal, Reka Sohajda, Zsombor Szoke, Syed Akib Hossain, Laszlo Stundl, Sandor Biro, Judit Remenyik, Melinda Paholcsek
Dátum:2025
ISSN:2045-2322
Tárgyszavak:Orvostudományok Egészségtudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:Scientific Reports. - 15 : 1 (2025), p. 1-23. -
További szerzők:Fauszt Péter (1992-) (mikrobiom) Petrilla Annamária Németh Péter Dávid Péter (1984-) (biológia tanár) Szilágyi-Tolnai Emese (1988-) (Molekuláris biológus) Szilágyi-Rácz Anna Anita (1995-) (molekuláris biológus) Stágel Anikó (genetika) Gál Ferenc (1986-) (gyógyszerész) Gál Kristóf (1994-) (orvos) Siposné Sohajda Réka Szőke Zsombor (1998-) (Agrármérnök) Hossain, Syed Akib Stündl László (1970-) (agrármérnök) Biró Sándor (1949-) (molekuláris genetikus) Gálné Remenyik Judit (1965-) (kémia tanár, okleveles vegyész) Paholcsek Melinda (1984-) (molekuláris biológus, genetikus)
Pályázati támogatás:DE Publikációs Tudománytámogatási Program
Egyéb
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5.

001-es BibID:BIBFORM125595
035-os BibID:(Scopus)85208724723 (WoS)001248653800001
Első szerző:Petrilla Annamária
Cím:Comparative analysis of the postadmission and antemortem oropharyngeal and rectal swab microbiota of ICU patients / Annamaria Petrilla, Peter Nemeth, Peter Fauszt, Anna Szilagyi-Racz, Maja Mikolas, Emese Szilagyi-Tolnai, Peter David, Aniko Stagel, Ferenc Gal, Kristof Gal, Reka Sohajda, Trinh Pham, Laszlo Stundl, Sandor Biro, Judit Remenyik, Melinda Paholcsek
Dátum:2024
ISSN:2045-2322
Megjegyzések:Shotgun metabarcoding was conducted to examine the microbiota in a total of 48 samples from 12 critically ill patients, analyzing samples from both the oropharynx and rectum. We aimed to compare their postadmission microbiota, characterized as moderately dysbiotic, with the severely dysbiotic antemortem microbiota associated with patients' deaths. We found that, compared with postadmission samples, patient antemortem swab samples presented moderate but not significantly decreased diversity indices. The antemortem oropharyngeal samples presented an increase in biofilm forming bacteria, including Streptococcus oralis, methicillin-resistant Staphylococcus aureus (MRSA), and Enterococcus faecalis. Although the septic shock rate was 67%, no significant differences were detected in the potential pathogen ratios when the microbiota was analyzed. A notable strain sharing rate between the oropharynx and intestine was noted. By comparing postadmission and antemortem samples, microbial biomarkers of severe dysbiosis were pinpointed through the analysis of differentially abundant and uniquely emerging species in both oropharyngeal and rectal swabs. Demonstrating strong interconnectivity along the oral-intestinal axis, these biomarkers could serve as indicators of the progression of dysbiosis. Furthermore, the microbial networks of the oropharyngeal microbiota in deceased patients presented the lowest modularity, suggesting a vulnerable community structure. Our data also highlight the critical importance of introducing treatments aimed at enhancing the resilience of the oral cavity microbiome, thereby contributing to better patient outcomes.
Tárgyszavak:Orvostudományok Elméleti orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:Scientific Reports. - 14 : 1 (2024), p. 1-17. -
További szerzők:Németh Péter Fauszt Péter (1992-) (mikrobiom) Szilágyi-Rácz Anna Anita (1995-) (molekuláris biológus) Mikolás Maja (2000-) (molekuláris biológus) Szilágyi-Tolnai Emese (1988-) (Molekuláris biológus) Dávid Péter (1984-) (biológia tanár) Stágel Anikó (agrár) Gál Ferenc (1986-) (gyógyszerész) Gál Kristóf (1994-) (orvos) Siposné Sohajda Réka Pham, Trinh Stündl László (1970-) (agrármérnök) Biró Sándor (1949-) (molekuláris genetikus) Gálné Remenyik Judit (1965-) (kémia tanár, okleveles vegyész) Paholcsek Melinda (1984-) (molekuláris biológus, genetikus)
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