Zhang, Yi

Link to this page

Authority KeyName Variants
52b44379-1767-4a60-8346-204268e924c8
  • Zhang, Yi (2)
Projects

Author's Bibliography

Predviđanje toksičnih efekata imunomodulatora sulforafana: Bioinformatička analiza

Božić, Dragica; Baralić, Katarina; Živančević, Katarina; Buha-Đorđević, Aleksandra; Antonijević-Miljaković, Evica; Ćurčić, Marijana; Bulat, Zorica; Antonijević, Biljana; Zhang, Yi; Yang, Li; Đukić-Ćosić, Danijela

(Udruženje toksikologa Srbije, 2023)

TY  - CONF
AU  - Božić, Dragica
AU  - Baralić, Katarina
AU  - Živančević, Katarina
AU  - Buha-Đorđević, Aleksandra
AU  - Antonijević-Miljaković, Evica
AU  - Ćurčić, Marijana
AU  - Bulat, Zorica
AU  - Antonijević, Biljana
AU  - Zhang, Yi
AU  - Yang, Li
AU  - Đukić-Ćosić, Danijela
PY  - 2023
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/5425
AB  - Sulforafan (SFN) je imunomodulator poreklom iz kupusastog povrća čija su antioksidativna i antikancerogena svojstva prepoznata sredinom prošlog veka. Međutim, njegov toksikološki profil i potencijal da izazove štetne efekte su nedovoljno razjašnjeni. Cilj ove studije bio je predviđanje toksičnog potencijala SFN kombinovanjem bioinformatičkih analiza. ...
AB  - Sulforaphane (SFN) is an immunomodulator from cruciferous vegetables whose anti-oxidative and anti-carcinogenic properties were recognized in the middle of the last century. However, its toxicological profile remains insufficiently elucidated. The aim of the study was to predict the toxicity of SFN by combining bioinformatic analyses. ...
PB  - Udruženje toksikologa Srbije
C3  - 13th international congress of the Serbian society of toxicology & 1st toxSEE regional conference, 10-12 May, 2023, Belgrade, Abstract Book
T1  - Predviđanje toksičnih efekata imunomodulatora sulforafana: Bioinformatička analiza
T1  - Predicting toxic effects of an immunomodulator, sulforaphane: Bioinformatic analsis
SP  - 61
EP  - 62
UR  - https://hdl.handle.net/21.15107/rcub_farfar_5425
ER  - 
@conference{
author = "Božić, Dragica and Baralić, Katarina and Živančević, Katarina and Buha-Đorđević, Aleksandra and Antonijević-Miljaković, Evica and Ćurčić, Marijana and Bulat, Zorica and Antonijević, Biljana and Zhang, Yi and Yang, Li and Đukić-Ćosić, Danijela",
year = "2023",
abstract = "Sulforafan (SFN) je imunomodulator poreklom iz kupusastog povrća čija su antioksidativna i antikancerogena svojstva prepoznata sredinom prošlog veka. Međutim, njegov toksikološki profil i potencijal da izazove štetne efekte su nedovoljno razjašnjeni. Cilj ove studije bio je predviđanje toksičnog potencijala SFN kombinovanjem bioinformatičkih analiza. ..., Sulforaphane (SFN) is an immunomodulator from cruciferous vegetables whose anti-oxidative and anti-carcinogenic properties were recognized in the middle of the last century. However, its toxicological profile remains insufficiently elucidated. The aim of the study was to predict the toxicity of SFN by combining bioinformatic analyses. ...",
publisher = "Udruženje toksikologa Srbije",
journal = "13th international congress of the Serbian society of toxicology & 1st toxSEE regional conference, 10-12 May, 2023, Belgrade, Abstract Book",
title = "Predviđanje toksičnih efekata imunomodulatora sulforafana: Bioinformatička analiza, Predicting toxic effects of an immunomodulator, sulforaphane: Bioinformatic analsis",
pages = "61-62",
url = "https://hdl.handle.net/21.15107/rcub_farfar_5425"
}
Božić, D., Baralić, K., Živančević, K., Buha-Đorđević, A., Antonijević-Miljaković, E., Ćurčić, M., Bulat, Z., Antonijević, B., Zhang, Y., Yang, L.,& Đukić-Ćosić, D.. (2023). Predviđanje toksičnih efekata imunomodulatora sulforafana: Bioinformatička analiza. in 13th international congress of the Serbian society of toxicology & 1st toxSEE regional conference, 10-12 May, 2023, Belgrade, Abstract Book
Udruženje toksikologa Srbije., 61-62.
https://hdl.handle.net/21.15107/rcub_farfar_5425
Božić D, Baralić K, Živančević K, Buha-Đorđević A, Antonijević-Miljaković E, Ćurčić M, Bulat Z, Antonijević B, Zhang Y, Yang L, Đukić-Ćosić D. Predviđanje toksičnih efekata imunomodulatora sulforafana: Bioinformatička analiza. in 13th international congress of the Serbian society of toxicology & 1st toxSEE regional conference, 10-12 May, 2023, Belgrade, Abstract Book. 2023;:61-62.
https://hdl.handle.net/21.15107/rcub_farfar_5425 .
Božić, Dragica, Baralić, Katarina, Živančević, Katarina, Buha-Đorđević, Aleksandra, Antonijević-Miljaković, Evica, Ćurčić, Marijana, Bulat, Zorica, Antonijević, Biljana, Zhang, Yi, Yang, Li, Đukić-Ćosić, Danijela, "Predviđanje toksičnih efekata imunomodulatora sulforafana: Bioinformatička analiza" in 13th international congress of the Serbian society of toxicology & 1st toxSEE regional conference, 10-12 May, 2023, Belgrade, Abstract Book (2023):61-62,
https://hdl.handle.net/21.15107/rcub_farfar_5425 .

Predicting sulforaphane-induced adverse effects in colon cancer patients via in silico investigation

Božić, Dragica; Baralić, Katarina; Živančević, Katarina; Antonijević-Miljaković, Evica; Ćurčić, Marijana; Antonijević, Biljana; Buha-Đorđević, Aleksandra; Bulat, Zorica; Zhang, Yi; Yang, Li; Đukić-Ćosić, Danijela

(Elsevier Masson s.r.l., 2022)

TY  - JOUR
AU  - Božić, Dragica
AU  - Baralić, Katarina
AU  - Živančević, Katarina
AU  - Antonijević-Miljaković, Evica
AU  - Ćurčić, Marijana
AU  - Antonijević, Biljana
AU  - Buha-Đorđević, Aleksandra
AU  - Bulat, Zorica
AU  - Zhang, Yi
AU  - Yang, Li
AU  - Đukić-Ćosić, Danijela
PY  - 2022
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/4018
AB  - Colorectal cancer (CRC) is a significant global health burden that ranks as the third most diagnosed and second most common cause of cancer related deaths worldwide. New therapeutic strategies include chemoprevention and use of molecules which could prevent, suppress or reverse CRC progression such as sulforaphane (SFN). However, evidences about its safety in CRC patients are still lacking. The aim of this in silico investigation was to predict SFN-induced adverse effects in CRC patients by computational analysis. The study showed that 334 genes were consistently dysregulated in CRC (223 downregulated and 111 upregulated), while 38 were recognized as significant and might be used as predictive biomarkers for overall survival and metastasis (TCGA, GEO, R studio). Among them, SFN interacted with 86 genes, out of which 11 were marked as significant (correlate with overall prognosis and metastasis). Sulforaphane potentiates the overexpression of TIMP1, AURKA, and CEP55, and promotes inhibition of CRYAB, PLCE1, and MMP28, that might lead to the progression of CRC (CTD). Pathway enrichment analysis revealed that SFN stimulated Transcriptional activation of RUNX2, AURKA activation by TPX2, IL-10 signaling, while inhibited Differentiation of White and Brown Adipocyte process, an underlying pathway which inactivation led to obesity (Cytoscape ClueGo + CluePedia, DAVID). Thus, genome signature of CRC patients could serve as important factor when addressing the risk-to-benefit profile of SFN. Patients with colon cancer and increased expression of TIMP1, CCL20, SPP1, AURKA, CEP55, NEK2, SOX9 and CDK1, or downregulation of CRYAB, PLCE1, MMP28, BMP2 and PLAC8 may not be ideal candidates for SFN chemoprevention.
PB  - Elsevier Masson s.r.l.
T2  - Biomedicine and Pharmacotherapy
T1  - Predicting sulforaphane-induced adverse effects in colon cancer patients via in silico investigation
VL  - 146
DO  - 10.1016/j.biopha.2021.112598
ER  - 
@article{
author = "Božić, Dragica and Baralić, Katarina and Živančević, Katarina and Antonijević-Miljaković, Evica and Ćurčić, Marijana and Antonijević, Biljana and Buha-Đorđević, Aleksandra and Bulat, Zorica and Zhang, Yi and Yang, Li and Đukić-Ćosić, Danijela",
year = "2022",
abstract = "Colorectal cancer (CRC) is a significant global health burden that ranks as the third most diagnosed and second most common cause of cancer related deaths worldwide. New therapeutic strategies include chemoprevention and use of molecules which could prevent, suppress or reverse CRC progression such as sulforaphane (SFN). However, evidences about its safety in CRC patients are still lacking. The aim of this in silico investigation was to predict SFN-induced adverse effects in CRC patients by computational analysis. The study showed that 334 genes were consistently dysregulated in CRC (223 downregulated and 111 upregulated), while 38 were recognized as significant and might be used as predictive biomarkers for overall survival and metastasis (TCGA, GEO, R studio). Among them, SFN interacted with 86 genes, out of which 11 were marked as significant (correlate with overall prognosis and metastasis). Sulforaphane potentiates the overexpression of TIMP1, AURKA, and CEP55, and promotes inhibition of CRYAB, PLCE1, and MMP28, that might lead to the progression of CRC (CTD). Pathway enrichment analysis revealed that SFN stimulated Transcriptional activation of RUNX2, AURKA activation by TPX2, IL-10 signaling, while inhibited Differentiation of White and Brown Adipocyte process, an underlying pathway which inactivation led to obesity (Cytoscape ClueGo + CluePedia, DAVID). Thus, genome signature of CRC patients could serve as important factor when addressing the risk-to-benefit profile of SFN. Patients with colon cancer and increased expression of TIMP1, CCL20, SPP1, AURKA, CEP55, NEK2, SOX9 and CDK1, or downregulation of CRYAB, PLCE1, MMP28, BMP2 and PLAC8 may not be ideal candidates for SFN chemoprevention.",
publisher = "Elsevier Masson s.r.l.",
journal = "Biomedicine and Pharmacotherapy",
title = "Predicting sulforaphane-induced adverse effects in colon cancer patients via in silico investigation",
volume = "146",
doi = "10.1016/j.biopha.2021.112598"
}
Božić, D., Baralić, K., Živančević, K., Antonijević-Miljaković, E., Ćurčić, M., Antonijević, B., Buha-Đorđević, A., Bulat, Z., Zhang, Y., Yang, L.,& Đukić-Ćosić, D.. (2022). Predicting sulforaphane-induced adverse effects in colon cancer patients via in silico investigation. in Biomedicine and Pharmacotherapy
Elsevier Masson s.r.l.., 146.
https://doi.org/10.1016/j.biopha.2021.112598
Božić D, Baralić K, Živančević K, Antonijević-Miljaković E, Ćurčić M, Antonijević B, Buha-Đorđević A, Bulat Z, Zhang Y, Yang L, Đukić-Ćosić D. Predicting sulforaphane-induced adverse effects in colon cancer patients via in silico investigation. in Biomedicine and Pharmacotherapy. 2022;146.
doi:10.1016/j.biopha.2021.112598 .
Božić, Dragica, Baralić, Katarina, Živančević, Katarina, Antonijević-Miljaković, Evica, Ćurčić, Marijana, Antonijević, Biljana, Buha-Đorđević, Aleksandra, Bulat, Zorica, Zhang, Yi, Yang, Li, Đukić-Ćosić, Danijela, "Predicting sulforaphane-induced adverse effects in colon cancer patients via in silico investigation" in Biomedicine and Pharmacotherapy, 146 (2022),
https://doi.org/10.1016/j.biopha.2021.112598 . .
1
18
15