TY  - JOUR
AU  - Simić, Katarina
AU  - Miladinović, Zoran
AU  - Todorović, Nina
AU  - Trifunović, Snežana
AU  - Avramović, Nataša
AU  - Gavrilović, Aleksandra
AU  - Jovanović, Silvana
AU  - Gođevac, Dejan
AU  - Vujisić, Ljubodrag
AU  - Tešević, Vele
AU  - Tasic, Ljubica
AU  - Mandić, Boris
PY  - 2023
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/6682
AB  - Bipolar disorder (BD) is a brain disorder that causes changes in a person’s mood, energy, and ability to function. It has a prevalence of 60 million people worldwide, and it is among the top 20 diseases with the highest global burden. The complexity of this disease, including diverse genetic, environmental, and biochemical factors, and diagnoses based on the subjective recognition of symptoms without any clinical test of biomarker identification create significant difficulties in understanding and diagnosing BD. A 1H-NMR-based metabolomic study applying chemometrics of serum samples of Serbian patients with BD (33) and healthy controls (39) was explored, providing the identification of 22 metabolites for this disease. A biomarker set including threonine, aspartate, gamma-aminobutyric acid, 2-hydroxybutyric acid, serine, and mannose was established for the first time in BD serum samples by an NMR-based metabolomics study. Six identified metabolites (3-hydroxybutyric acid, arginine, lysine, tyrosine, phenylalanine, and glycerol) are in agreement with the previously determined NMR-based sets of serum biomarkers in Brazilian and/or Chinese patient samples. The same established metabolites (lactate, alanine, valine, leucine, isoleucine, glutamine, glutamate, glucose, and choline) in three different ethnic and geographic origins (Serbia, Brazil, and China) might have a crucial role in the realization of a universal set of NMR biomarkers for BD.
PB  - MDPI AG
T2  - Metabolites
T1  - Metabolomic Profiling of Bipolar Disorder by 1H-NMR in Serbian Patients
VL  - 13
IS  - 5
SP  - 607
DO  - 10.3390/metabo13050607
ER  - 

@article{
author = "Simić, Katarina and Miladinović, Zoran and Todorović, Nina and Trifunović, Snežana and Avramović, Nataša and Gavrilović, Aleksandra and Jovanović, Silvana and Gođevac, Dejan and Vujisić, Ljubodrag and Tešević, Vele and Tasic, Ljubica and Mandić, Boris",
year = "2023",
abstract = "Bipolar disorder (BD) is a brain disorder that causes changes in a person’s mood, energy, and ability to function. It has a prevalence of 60 million people worldwide, and it is among the top 20 diseases with the highest global burden. The complexity of this disease, including diverse genetic, environmental, and biochemical factors, and diagnoses based on the subjective recognition of symptoms without any clinical test of biomarker identification create significant difficulties in understanding and diagnosing BD. A 1H-NMR-based metabolomic study applying chemometrics of serum samples of Serbian patients with BD (33) and healthy controls (39) was explored, providing the identification of 22 metabolites for this disease. A biomarker set including threonine, aspartate, gamma-aminobutyric acid, 2-hydroxybutyric acid, serine, and mannose was established for the first time in BD serum samples by an NMR-based metabolomics study. Six identified metabolites (3-hydroxybutyric acid, arginine, lysine, tyrosine, phenylalanine, and glycerol) are in agreement with the previously determined NMR-based sets of serum biomarkers in Brazilian and/or Chinese patient samples. The same established metabolites (lactate, alanine, valine, leucine, isoleucine, glutamine, glutamate, glucose, and choline) in three different ethnic and geographic origins (Serbia, Brazil, and China) might have a crucial role in the realization of a universal set of NMR biomarkers for BD.",
publisher = "MDPI AG",
journal = "Metabolites",
title = "Metabolomic Profiling of Bipolar Disorder by 1H-NMR in Serbian Patients",
volume = "13",
number = "5",
pages = "607",
doi = "10.3390/metabo13050607"
}

Simić, K., Miladinović, Z., Todorović, N., Trifunović, S., Avramović, N., Gavrilović, A., Jovanović, S., Gođevac, D., Vujisić, L., Tešević, V., Tasic, L.,& Mandić, B.. (2023). Metabolomic Profiling of Bipolar Disorder by 1H-NMR in Serbian Patients. in Metabolites
MDPI AG., 13(5), 607.
https://doi.org/10.3390/metabo13050607

Simić K, Miladinović Z, Todorović N, Trifunović S, Avramović N, Gavrilović A, Jovanović S, Gođevac D, Vujisić L, Tešević V, Tasic L, Mandić B. Metabolomic Profiling of Bipolar Disorder by 1H-NMR in Serbian Patients. in Metabolites. 2023;13(5):607.
doi:10.3390/metabo13050607 .

Simić, Katarina, Miladinović, Zoran, Todorović, Nina, Trifunović, Snežana, Avramović, Nataša, Gavrilović, Aleksandra, Jovanović, Silvana, Gođevac, Dejan, Vujisić, Ljubodrag, Tešević, Vele, Tasic, Ljubica, Mandić, Boris, "Metabolomic Profiling of Bipolar Disorder by 1H-NMR in Serbian Patients" in Metabolites, 13, no. 5 (2023):607,
https://doi.org/10.3390/metabo13050607 . .

TY  - CONF
AU  - Simić, Katarina
AU  - Ivanović, Stefan
AU  - Trifunović, Snežana
AU  - Mandić, Boris
PY  - 2022
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/5552
AB  - Schizophrenia is a widespread mental disorder that leads to significant functional impairments and premature death. The state of the art indicates gaps in the understanding and diagnosis of this disease, but also the need for personalized and precise approaches to patients through customized medical treatment and reliable monitoring of treatment response. In order to fulfill existing gaps, the establishment of a universal set of disorder biomarkers is a necessary step.
The investigation of serum samples of Serbian patients with schizophrenia (51) and healthy controls (39), based on NMR analyses based on detection and of low molecular weight components in samples can be difficult due to overlapping signal caused by line broadening characteristics of macromolecules. A way of overcoming this problem could be the exploitation of the difference in relaxation between small molecules and macromolecular species, such as the application of a T2 filter by using the Carr–Purcell–Meiboom–Gill (CPMG) spin-echo pulse sequence, which led to the identification of 26 metabolites/biomarkers for this disorder.
The established biomarker set includes aspartate/aspartic acid, lysine, 2-hydroxybutyric acid, and acylglycerols, which are identified for the first time in schizophrenia serum samples by NMR experiments. The other 22 identified metabolites in the Serbian samples are in accordance with the previously established NMR-based serum biomarker sets of Brazilian and/or Chinese patient samples. Thirteen metabolites (lactate/lactic acid, threonine, leucine, isoleucine, valine, glutamine, asparagine, alanine, gamma-aminobutyric acid, choline, glucose, glycine and tyrosine) that are common for three different ethnic and geographic origins (Serbia, Brazil and China) could be a good start point for the setup of a universal NMR serum biomarker set for schizophrenia.
PB  - Belgrade : Serbian Chemical Society
PB  - Belgrade : Serbian Young Chemists’ Club
C3  - Book of Abstracts - 8th Conference of Young Chemists of Serbia, 29th October 2022, Belgrade, Serbia
T1  - Serum biomarkers of schizophrenia
UR  - https://hdl.handle.net/21.15107/rcub_cer_5552
ER  - 

@conference{
author = "Simić, Katarina and Ivanović, Stefan and Trifunović, Snežana and Mandić, Boris",
year = "2022",
abstract = "Schizophrenia is a widespread mental disorder that leads to significant functional impairments and premature death. The state of the art indicates gaps in the understanding and diagnosis of this disease, but also the need for personalized and precise approaches to patients through customized medical treatment and reliable monitoring of treatment response. In order to fulfill existing gaps, the establishment of a universal set of disorder biomarkers is a necessary step.
The investigation of serum samples of Serbian patients with schizophrenia (51) and healthy controls (39), based on NMR analyses based on detection and of low molecular weight components in samples can be difficult due to overlapping signal caused by line broadening characteristics of macromolecules. A way of overcoming this problem could be the exploitation of the difference in relaxation between small molecules and macromolecular species, such as the application of a T2 filter by using the Carr–Purcell–Meiboom–Gill (CPMG) spin-echo pulse sequence, which led to the identification of 26 metabolites/biomarkers for this disorder.
The established biomarker set includes aspartate/aspartic acid, lysine, 2-hydroxybutyric acid, and acylglycerols, which are identified for the first time in schizophrenia serum samples by NMR experiments. The other 22 identified metabolites in the Serbian samples are in accordance with the previously established NMR-based serum biomarker sets of Brazilian and/or Chinese patient samples. Thirteen metabolites (lactate/lactic acid, threonine, leucine, isoleucine, valine, glutamine, asparagine, alanine, gamma-aminobutyric acid, choline, glucose, glycine and tyrosine) that are common for three different ethnic and geographic origins (Serbia, Brazil and China) could be a good start point for the setup of a universal NMR serum biomarker set for schizophrenia.",
publisher = "Belgrade : Serbian Chemical Society, Belgrade : Serbian Young Chemists’ Club",
journal = "Book of Abstracts - 8th Conference of Young Chemists of Serbia, 29th October 2022, Belgrade, Serbia",
title = "Serum biomarkers of schizophrenia",
url = "https://hdl.handle.net/21.15107/rcub_cer_5552"
}

Simić, K., Ivanović, S., Trifunović, S.,& Mandić, B.. (2022). Serum biomarkers of schizophrenia. in Book of Abstracts - 8th Conference of Young Chemists of Serbia, 29th October 2022, Belgrade, Serbia
Belgrade : Serbian Chemical Society..
https://hdl.handle.net/21.15107/rcub_cer_5552

Simić K, Ivanović S, Trifunović S, Mandić B. Serum biomarkers of schizophrenia. in Book of Abstracts - 8th Conference of Young Chemists of Serbia, 29th October 2022, Belgrade, Serbia. 2022;.
https://hdl.handle.net/21.15107/rcub_cer_5552 .

Simić, Katarina, Ivanović, Stefan, Trifunović, Snežana, Mandić, Boris, "Serum biomarkers of schizophrenia" in Book of Abstracts - 8th Conference of Young Chemists of Serbia, 29th October 2022, Belgrade, Serbia (2022),
https://hdl.handle.net/21.15107/rcub_cer_5552 .