Intermittent fasting-induced biomolecular modifications in rat tissues detected by ATR-FTIR spectroscopy and machine learning algorithms

被引:15
|
作者
Ceylani, Taha [1 ]
Teker, Hikmet Taner [2 ]
Samgane, Gizem [3 ]
Gurbanov, Rafig [4 ,5 ]
机构
[1] Mus Alparslan Univ, Dept Food Qual Control & Anal, Mus, Turkey
[2] Ankara Medipol Univ, Dept Med Biol, Ankara, Turkey
[3] Bilecik Seyh Edebali Univ, Dept Biotechnol, Bilecik, Turkey
[4] Bilecik Seyh Edebali Univ, Dept Bioengn, TR-11230 Bilecik, Turkey
[5] Bilecik Seyh Edebali Univ, Cent Res Lab, TR-11230 Bilecik, Turkey
关键词
Intermittent fasting (IF); FTIR Spectroscopy; Machine learning; Rat; Metabolism; INFRARED-SPECTROSCOPY; STEM-CELLS; RESTRICTION; PARAMETERS; MANAGEMENT; AUTOPHAGY;
D O I
10.1016/j.ab.2022.114825
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
This study aimed to reveal the intermittent fasting-induced alterations in biomolecules of the liver, ileum, and colon tissues of rats using Support Vector Machine (SVM) and Linear Discriminant Analysis (LDA) algorithms developed on infrared spectrochemical data. LDA prediction accuracies were generally calculated in the range of 95-100%, while training and validation accuracies of SVM were in the range of 91-100% and 83-91%, respectively. The quantitative measurements of spectral bands at the CH (lipids), Amide (proteins), and PO2 antisymmetric (nucleic acids) stretching regions were performed to monitor modulated metabolic processes. The concentration of biomolecules and phosphorylation rate of proteins were found higher in studied tissues. The altered conformations and low rates of carbonylation (oxidation) were also common in proteins. No significant change was recorded for the length of fatty acid acyl chains (A2922/A2955 band area ratio) in the liver, whereas the shortening of acyl chains was calculated as 23% and 27% in ileum and colon tissues, respectively. Enhanced membrane dynamics (Bw2922/Bw2955 bandwidth ratio) were depicted in the liver (35% increase), while a decline in dynamics was apparent in the ileum (36% decrease) and colon (31% decrease). The study revealed important alterations in major biomolecules of studied tissues.
引用
收藏
页数:11
相关论文
共 25 条
  • [1] Intermittent fasting-induced biomolecular modifications in rat tissues detected by ATR-FTIR spectroscopy and machine learning algorithms
    Ceylani, Taha
    Teker, Hikmet Taner
    Samgane, Gizem
    Gurbanov, Rafig
    Analytical Biochemistry, 2022, 654
  • [2] Cigarette paper as evidence: Forensic profiling using ATR-FTIR spectroscopy and machine learning algorithms
    Kapoor, Muskaan
    Sharma, Akanksha
    Sharma, Vishal
    FORENSIC SCIENCE INTERNATIONAL, 2024, 363
  • [3] Detection of Verticillium infection in cotton leaves using ATR-FTIR spectroscopy coupled with machine learning algorithms
    Li, Xianchang
    Zhang, Lipeng
    Zhang, Shiding
    Shang, Haihong
    Xu, Yizhong
    Luo, Yongping
    Xu, Shunjian
    Wang, Yuling
    SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY, 2025, 325
  • [4] Enhancing forensic investigations: Identifying bloodstains on various substrates through ATR-FTIR spectroscopy combined with machine learning algorithms
    Wei, Chun-Ta
    You, Jhu-Lin
    Weng, Shiuh-Ku
    Jian, Shun-Yi
    Lee, Jeff Cheng-Lung
    Chiang, Tang-Lun
    SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY, 2024, 308
  • [5] Diabetes Monitoring through Urine Analysis Using ATR-FTIR Spectroscopy and Machine Learning
    Farooq, Sajid
    Zezell, Denise Maria
    CHEMOSENSORS, 2023, 11 (11)
  • [6] Analysis and comparison of machine learning methods for species identification utilizing ATR-FTIR spectroscopy
    Zhang, Xiangyan
    Yang, Fengqin
    Xiao, Jiao
    Qu, Hongke
    Jocelin, Ngando Fernand
    Ren, Lipin
    Guo, Yadong
    SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY, 2024, 308
  • [7] Automated Classification of Undegraded and Aged Polyethylene Terephthalate Microplastics from ATR-FTIR Spectroscopy using Machine Learning Algorithms
    Enyoh, Christian Ebere
    Wang, Qingyue
    JOURNAL OF POLYMERS AND THE ENVIRONMENT, 2024, 32 (09) : 4143 - 4158
  • [8] Forensic Characterization of Tires by Attenuated Total Reflectance-Fourier Transform Infrared (ATR-FTIR) Spectroscopy and Machine Learning Algorithms
    Du, Haojun
    ANALYTICAL LETTERS, 2023, 56 (10) : 1551 - 1565
  • [9] ATR-FTIR spectroscopy combined with machine learning for classification of PVA/PVP blends in low concentration
    Franca, Thiago
    Goncalves, Daniel
    Cena, Cicero
    VIBRATIONAL SPECTROSCOPY, 2022, 120
  • [10] Advancing tobacco Authentication through a Synergistic approach using ATR-FTIR spectroscopy and Machine learning
    Mahay, Manmeet Kaur
    Sharma, Akanksha
    Sharma, Vishal
    MICROCHEMICAL JOURNAL, 2024, 207