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Kim SS, Kim S, Kim Y, Ha Y, Lee H, Im H, Yang JY, Shin DS, Hwang KS, Son Y, Park SB, Kim KY, Lee HS, Kim KT, Cho SH, Bae MA, Park HC. Neurotoxic effects of citronellol induced by the conversion of kynurenine to 3-hydroxykynurenine. JOURNAL OF HAZARDOUS MATERIALS 2025; 486:136965. [PMID: 39733753 DOI: 10.1016/j.jhazmat.2024.136965] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/17/2024] [Revised: 12/12/2024] [Accepted: 12/20/2024] [Indexed: 12/31/2024]
Abstract
Citronellol is widely utilized in consumer products, including cosmetics, fragrances, and household items. However, despite being considered a relatively safe chemical, the health effects and toxicity mechanisms associated with exposure to high concentrations of citronellol, based on product content, remain inadequately understood. Here, we aimed to analyze the neurological effects of citronellol in zebrafish larvae using behavioral and histological analyses and elucidate the mechanisms underlying its neurotoxicity in vivo. Exposure to citronellol (2, 4 and 8 mg/L) in zebrafish larvae induced a range of neurotoxic effects, including locomotor impairments, anxiety-like behaviors, oxidative stress, an inflammatory response, and apoptosis in the brain. Additionally, citronellol exposure compromised the blood-brain barrier (BBB) integrity, permitting the infiltration of inflammatory cell into the brain. Neurotoxic effects were further sustained by increased kynurenine (KYN) metabolism to the neurotoxic metabolite 3-hydroxykynurenine (3-HK), accompanied by altered neurosteroid levels, including reduced progesterone and allopregnanolone, and elevated cortisol. Similar metabolic dysregulation was observed in mouse models following oral administration (345, 690 and 3450 mg/kg) and in human brain organoids exposed to citronellol (1, 10 and 100 μM), suggesting conserved mechanisms across species. Notably, experiments using zebrafish, mice and brain-chip systems confirmed that citronellol crosses the BBB and accumulates in the brain. Overall, we identified a novel neurotoxic pathway involving the KYN to 3-HK metabolic pathway, oxidative stress, and neuroinflammation, underscoring the potential risks of prolonged citronellol exposure.
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Affiliation(s)
- Seong Soon Kim
- Bio & Drug Discovery Division, Korea Research Institute of Chemical Technology (KRICT), Daejeon, Republic of Korea
| | - Suhyun Kim
- Zebrafish Translational Medical Research Center, Korea University, Ansan, Gyeonggi-do, Republic of Korea; Department of Biomedical Sciences, College of Medicine, Korea University, Seoul, Republic of Korea.
| | - Yeonhwa Kim
- Zebrafish Translational Medical Research Center, Korea University, Ansan, Gyeonggi-do, Republic of Korea
| | - Youngran Ha
- Department of Biomedical Sciences, College of Medicine, Korea University, Seoul, Republic of Korea
| | - Hyojin Lee
- Department of Biology, University of Ottawa, Ontario K1N 6N5, Canada
| | - Hyunji Im
- Medical Science Research Center, Ansan Hospital, Korea University, Ansan, Gyeonggi-do, Republic of Korea
| | - Jung Yoon Yang
- Bio & Drug Discovery Division, Korea Research Institute of Chemical Technology (KRICT), Daejeon, Republic of Korea
| | - Dae-Seop Shin
- Bio & Drug Discovery Division, Korea Research Institute of Chemical Technology (KRICT), Daejeon, Republic of Korea
| | - Kyu-Seok Hwang
- Bio & Drug Discovery Division, Korea Research Institute of Chemical Technology (KRICT), Daejeon, Republic of Korea
| | - Yuji Son
- Bio & Drug Discovery Division, Korea Research Institute of Chemical Technology (KRICT), Daejeon, Republic of Korea
| | - Sung Bum Park
- Bio & Drug Discovery Division, Korea Research Institute of Chemical Technology (KRICT), Daejeon, Republic of Korea
| | - Ki Young Kim
- Bio & Drug Discovery Division, Korea Research Institute of Chemical Technology (KRICT), Daejeon, Republic of Korea
| | - Han-Seul Lee
- Department of Environmental Engineering, Seoul National University of Science and Technology, Seoul, Republic of Korea
| | - Ki-Tae Kim
- Department of Environmental Engineering, Seoul National University of Science and Technology, Seoul, Republic of Korea
| | - Sung-Hee Cho
- Chemical Analysis Center, KRICT, Daejeon, Republic of Korea
| | - Myung Ae Bae
- Bio & Drug Discovery Division, Korea Research Institute of Chemical Technology (KRICT), Daejeon, Republic of Korea.
| | - Hae-Chul Park
- Zebrafish Translational Medical Research Center, Korea University, Ansan, Gyeonggi-do, Republic of Korea; Department of Biomedical Sciences, College of Medicine, Korea University, Seoul, Republic of Korea.
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2
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Yu C, Kong X, Li W, Li B, Chen B, Gao M, Cai S, Wei Y. Magnetic molecularly imprinted polymers coupled with UPLC-MS/MS for simultaneous detection of 19 steroid hormones in human plasma. J Chromatogr A 2025; 1742:465655. [PMID: 39793446 DOI: 10.1016/j.chroma.2025.465655] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2024] [Revised: 12/16/2024] [Accepted: 01/04/2025] [Indexed: 01/13/2025]
Abstract
Steroid hormones constitute a group of hormones with molecular weights ranging from 200 to 400 daltons, characterized by their highly similar chemical structures. Each hormone within this group holds significant value for the diagnosis of various diseases. Accurate clinical measurement of the levels of each hormone is crucial for the diagnosis in clinical settings. Due to the wide variety and different properties of steroid hormones in organisms, sample pretreatment is the rate-limiting step for analysis and detection. In this paper, magnetic molecule-imprinting polymers (MMIPs) were prepared by surface imprinting on silicon coated magnetic spheres, and a detection method of MMIPs-combined with liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) for 19 steroid hormones in plasma was developed and verified. Fourier transform infrared spectroscopy, field emission scanning electron microscopy and transmission electron microscopy were used to confirm the formation of MMIPs materials, and the conditions of material synthesis and pretreatment of steroid hormones from plasma were optimized. The detection method was evaluated by using linearity, LOD and LOQ, precision, accuracy and matrix effect. The linearity of 19 steroid hormones was good, and the linear correlation coefficient was greater than 0.995. The coefficients of variation were 2.1-9.8 % and 1.1-9.7 % for intra-day and inter-day, respectively, and the recoveries were 83.6 %-118.2 % at low concentration, and the recoveries of medium and high concentrations were 94.6 %-113.8 % and 89.5 %-113.6 %, respectively. The coefficient of variation of Relative matrix effect of 19 steroid hormones measured in different batches of plasma was 2.1-5.4 % after isotope internal standard correction, which eliminated the influence of matrix effect.
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Affiliation(s)
- Chunyi Yu
- State Key Laboratory of Chemical Resource Engineering, Beijing University of Chemical Technology, 15 3rd Ring North East Road, Chaoyang District, Beijing 100029, China
| | - Xujing Kong
- Kingmed Diagnostics (Beijing) Co. Ltd, Building 26, Yard 6, Jingshun East Street, Chaoyang District, Beijing 100015, China
| | - Wenting Li
- State Key Laboratory of Chemical Resource Engineering, Beijing University of Chemical Technology, 15 3rd Ring North East Road, Chaoyang District, Beijing 100029, China
| | - Boyu Li
- Kingmed Diagnostics (Beijing) Co. Ltd, Building 26, Yard 6, Jingshun East Street, Chaoyang District, Beijing 100015, China
| | - Baorong Chen
- Kingmed Diagnostics (Beijing) Co. Ltd, Building 26, Yard 6, Jingshun East Street, Chaoyang District, Beijing 100015, China.
| | - Mengyao Gao
- State Key Laboratory of Chemical Resource Engineering, Beijing University of Chemical Technology, 15 3rd Ring North East Road, Chaoyang District, Beijing 100029, China
| | - Susu Cai
- Kingmed Diagnostics (Beijing) Co. Ltd, Building 26, Yard 6, Jingshun East Street, Chaoyang District, Beijing 100015, China
| | - Yun Wei
- State Key Laboratory of Chemical Resource Engineering, Beijing University of Chemical Technology, 15 3rd Ring North East Road, Chaoyang District, Beijing 100029, China.
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Honour JW. The interpretation of immunometric, chromatographic and mass spectrometric data for steroids in diagnosis of endocrine disorders. Steroids 2024; 211:109502. [PMID: 39214232 DOI: 10.1016/j.steroids.2024.109502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2024] [Revised: 08/25/2024] [Accepted: 08/26/2024] [Indexed: 09/04/2024]
Abstract
The analysis of steroids for endocrine disorders is in transition from immunoassay of individual steroids to more specific chromatographic and mass spectrometric methods with simultaneous determination of several steroids. Gas chromatography (GC) and liquid chromatography (LC) coupled with mass spectrometry (MS) offer unrivalled analytical capability for steroid analysis. These specialist techniques were often judged to be valuable only in a research laboratory but this is no longer the case. In a urinary steroid profile up to 30 steroids are identified with concentrations and excretion rates reported in a number of ways. The assays must accommodate the wide range in steroid concentrations in biological fluids from micromolar for dehydroepiandrosterone sulphate (DHEAS) to picomolar for oestradiol and aldosterone. For plasma concentrations, panels of 5-20 steroids are reported. The profile results are complex and interpretation is a real challenge in order to inform clinicians of likely implications. Although artificial intelligence and machine learning will in time generate reports from the analysis this is a way off being adopted into clinical practice. This review offers guidance on current interpretation of the data from steroid determinations in clinical practice. Using this approach more laboratories can use the techniques to answer clinical questions and offer broader interpretation of the results so that the clinician can understand the conclusion for the steroid defect, and can be advised to program further tests if necessary and instigate treatment. The biochemistry is part of the patient workup and a clinician led multidisciplinary team discussion of the results will be required for challenging patients. The laboratory will have to consider cost implications, bearing in mind that staff costs are the highest component. GC-MS and LC-MS/MS analysis of steroids are the choices. Steroid profiling has enormous potential to improve diagnosis of adrenal disorders and should be adopted in more laboratories in favour of the cheap, non-specific immunological methods.
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Affiliation(s)
- John W Honour
- Institute for Women's Health, University College London, 74 Huntley Street, London WC1E 6AU, UK.
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Zhang J, Liu ZH, Zhao KM, Dang Z, Liu Y, Liu Y. Transformation of 17β-estradiol to estrone by unknown wild-type enzyme in commercial arylsulfatase from Helix pomatia. J Chromatogr B Analyt Technol Biomed Life Sci 2024; 1246:124293. [PMID: 39236428 DOI: 10.1016/j.jchromb.2024.124293] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2024] [Revised: 08/02/2024] [Accepted: 08/25/2024] [Indexed: 09/07/2024]
Abstract
This work for the first time reported the complete transformation of 17β-estradiol (E2) to estrone (E1) by unknown wild-type enzyme present in the widely used commercial arylsulfatase derived from Helix pomatia. It was found that acetate could effectively inhibit the unknown enzyme with a half inhibitory concentration (IC50) of 140.9 μM, while phosphate and citrate showed no inhibition. Since the buffer solutions with phosphate and citrate have been used in the enzymatic hydrolysis of natural estrogen conjugates for decades, the transformation of E2 to E1 likely occurred during such procedure, inevitably leading to overestimated E1, but underestimated E2. It was further suggested that acetate should be used to prevent this undesirable transformation during the enzymatic hydrolysis of natural estrogen conjugates.
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Affiliation(s)
- Jun Zhang
- School of Environment and Energy, South China University of Technology, Guangzhou 510006, Guangdong, China
| | - Ze-Hua Liu
- School of Environment and Energy, South China University of Technology, Guangzhou 510006, Guangdong, China; Key Lab Pollution Control & Ecosystem Restoration in Industry Cluster, Ministry of Education, Guangzhou 510006, Guangdong, China; Guangdong Provincial Key Laboratory of Solid Wastes Pollution Control and Recycling, Guangzhou 510006, Guangdong, China; Guangdong Provincial Engineering and Technology Research Center for Environment Risk Prevention and Emergency Disposal, South China University of Technology, Guangzhou 510006, Guangdong, China.
| | - Ke-Meng Zhao
- School of Environment and Energy, South China University of Technology, Guangzhou 510006, Guangdong, China
| | - Zhi Dang
- Key Lab Pollution Control & Ecosystem Restoration in Industry Cluster, Ministry of Education, Guangzhou 510006, Guangdong, China
| | - Yun Liu
- South China Institute of Environmental Sciences, Ministry of Ecology and Environment of the People's Republic of China, Guangzhou 510655, China
| | - Yu Liu
- Engineering Laboratory of Low-Carbon Unconventional Water Resources Utilization and Water Quality Assurance, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
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Grötsch MK, Ehlert U. Allopregnanolone in the peripartum: Correlates, concentrations, and challenges - A systematic review. Psychoneuroendocrinology 2024; 166:107081. [PMID: 38759520 DOI: 10.1016/j.psyneuen.2024.107081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Revised: 04/12/2024] [Accepted: 05/09/2024] [Indexed: 05/19/2024]
Abstract
BACKGROUND Allopregnanolone (ALLO) is a metabolite of progesterone and a neuroactive steroid hormone. As a positive allosteric modulator of gamma-aminobutyric acid (GABA) receptors, ALLO seems to have antidepressant and anxiolytic effects, and was therefore approved as a specific medication for the treatment of postpartum depression in 2019. Despite the growing number of publications investigating ALLO levels, results on the biological and psychological correlates in the peripartum period remain inconsistent, possibly due to methodological challenges regarding measurement. To date, however, there is no systematic review examining the correlates, concentrations, and challenges in measuring ALLO in peripartum women. METHOD A systematic literature search of PubMed and PsycINFO was conducted in August 2023. Original research articles that measured ALLO concentrations in peripartum women were included. Reports were excluded if they were not original research, included non-human subjects, did not include peripartum women, did not include ALLO measurement as an outcome, included (pharmacological) interventions, constituted method validations, or used the same cohort as another study. RESULTS The literature search yielded 234 articles, and two articles were identified from other sources. After full-text screening, 19 articles (N = 1401) met the inclusion criteria, of which seven focused on biological correlates of ALLO and 12 on mood correlates. Of the latter, six found no association between ALLO and mood, four found a negative association, and two found a positive association. Overall, the results show an increase in ALLO levels during pregnancy and a decrease after birth, with levels then remaining low until six months postpartum. ALLO was most commonly measured in blood plasma and by gas chromatography-mass spectrometry (GC-MS). A significant matrix effect was found for blood serum and a significant method effect for radioimmunoassays (RIAs). A significant effect of time of measurement was found. CONCLUSION ALLO measurement shows method and matrix effects. ALLO levels are higher when measured in serum compared to in plasma, and when measured using RIA compared to other methods. Time of measurement, study design, and standardization of measurement also influence the reliability of measurement and the interpretation of results.
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Affiliation(s)
- Maria Katharina Grötsch
- Clinical Psychology and Psychotherapy, University of Zurich, Switzerland; Clinical Psychology and Psychotherapy, Binzmühlestrasse 14, Zurich 8050, Switzerland
| | - Ulrike Ehlert
- Clinical Psychology and Psychotherapy, University of Zurich, Switzerland; Clinical Psychology and Psychotherapy, Binzmühlestrasse 14, Zurich 8050, Switzerland.
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Temerdashev A, Zorina M, Feng YQ, Gashimova E, Dotsenko VV, Ioutsi V, Atapattu SN. Cyanoacetohydrazide as a Novel Derivatization Agent for the Determination of UHPLC-HRMS Steroids in Urine. Molecules 2024; 29:2433. [PMID: 38893309 PMCID: PMC11173670 DOI: 10.3390/molecules29112433] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Revised: 04/20/2024] [Accepted: 05/20/2024] [Indexed: 06/21/2024] Open
Abstract
The possibility of cyanoacetohydrazide usage as a novel derivatizing agent is demonstrated in the presented article, and a comparison with hydroxylamine as the most commonly used reagent is provided. Optimal conditions for steroid derivatization with cyanoacetohydrazide are provided. According to the collected data, the maximum yield of derivatives was observed at pH 2.8 within 70 min at 40 °C with 5 ng/mL limit of detection for all investigated analytes. It was shown that cyanoacetohydrazide derivatives produces both syn- and anti-forms as well as hydroxylamine, and their ratios were evaluated and shown in presented work. An efficiency enchantment from two to up to five times was achieved with a novel derivatization reagent. Its applicability for qualitative analysis of steroids in urine was presented at real samples. Additionally, the reproducible fragmentation of the derivatizing agent in collision-induced dissociation offers opportunities for simplified non-targeted steroidomic screening. Furthermore, cyanoacetohydrazide increases ionization efficiency in positive mode, which can eliminate the need for redundant high-resolution instrument runs required for both positive and negative mode analyses.
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Affiliation(s)
- Azamat Temerdashev
- Analytical Chemistry Department, Kuban State University, Krasnodar 350040, Russia
| | - Maria Zorina
- Analytical Chemistry Department, Kuban State University, Krasnodar 350040, Russia
| | - Yu-Qi Feng
- School of Bioengineering and Health, Wuhan Textile University, Wuhan 430415, China
| | - Elina Gashimova
- Analytical Chemistry Department, Kuban State University, Krasnodar 350040, Russia
| | - Victor V. Dotsenko
- Analytical Chemistry Department, Kuban State University, Krasnodar 350040, Russia
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Pan Y, Wang Q, Chen M, Takao T. Profiling of urinary steroids aided by lithium ion adduction-based ultrahigh-performance liquid chromatography-tandem mass spectrometry. RAPID COMMUNICATIONS IN MASS SPECTROMETRY : RCM 2024; 38:e9719. [PMID: 38500352 DOI: 10.1002/rcm.9719] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 01/23/2024] [Accepted: 01/25/2024] [Indexed: 03/20/2024]
Abstract
RATIONALE As 3-OH-containing steroids are prone to dehydration by conventional electrospray ionization, reducing detection sensitivity, Li ion adduction-based ultrahigh-performance liquid chromatography-tandem mass spectrometry (UHPLC/MS/MS), developed to prevent dehydration and effectively detect 3-OH steroids, was applied for profiling total and free steroids in urine. METHODS Free urinary steroids were isolated directly from urine by solid-phase extraction (SPE) with 80% acetonitrile. The total steroids were prepared by enzymatic treatment of urine with a cocktail of sulfatase and glucronidase, protein precipitation, and separation with the above SPE. In order to detect as many steroid types as possible, UHPLC/MS/MS (Li method) with Li+ solution added after the column was used for analysis in addition to the conventional method of detecting protonated ions (H method). The 13 3-OH steroids and the remaining 16 steroids were quantified by standard curves prepared using product ion transitions derived from [M + Li]+ and MH+ , respectively. RESULTS Two groups of human urine, male and female urine, were analyzed. 3-OH steroids could be detected with greater sensitivity using the Li method than the conventional method. The absolute amounts of each steroid were normalized based on creatinine levels. The difference between the male and female groups are clearly attributable to sex steroids. CONCLUSIONS Twenty-nine total steroids and 19 free steroids were identified in a limited volume (240 mL) of urine. Of these, 13 3-OH steroids were better detected by Li+ adduction-based UHPLC/MS/MS.
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Affiliation(s)
- Yue Pan
- Institute for Protein Research, Osaka University, Osaka, Japan
| | - Qiuyi Wang
- Institute for Protein Research, Osaka University, Osaka, Japan
| | - Mengyao Chen
- Institute for Protein Research, Osaka University, Osaka, Japan
| | - Toshifumi Takao
- Institute for Protein Research, Osaka University, Osaka, Japan
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Rajska A, Raczak-Gutknecht J, Struck-Lewicka W, Buszewska-Forajta M, Wityk P, Verding P, Kowalewska A, Siluk D, Rachoń D, Jan Markuszewski M. Determination of urinary androgens in women with polycystic ovary syndrome using LC-QqQ/MS and the application of thin film solid-phase microextraction (TF-SPME). J Chromatogr A 2024; 1718:464735. [PMID: 38364619 DOI: 10.1016/j.chroma.2024.464735] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 02/07/2024] [Accepted: 02/10/2024] [Indexed: 02/18/2024]
Abstract
Hyperandrogenism is one of the most pronounced symptoms of Polycystic Ovary Syndrome (PCOS) and seems to play a key role in the pathogenesis of this complex disorder. Nevertheless, there is still a lack of consistent results regarding common steroid predictors of PCOS. Therefore, a liquid chromatography tandem mass spectrometry (HPLC-QqQ/MS) method was developed and validated to determine the concentrations of four classic androgens: androstenedione (An-dione), testosterone (T), 5α-dihydrotestosterone (DHT) and androsterone (An) in urine samples obtained from women with PCOS and healthy controls. The limits of detection were between 0.04 and 0.09 ng/mL, while the limits of quantification ranged from 0.1 to 0.3 ng/mL respectively. As a pre-treatment procedure prior to analysis, hydrolysis using β-glucuronidase and thin film solid-phase microextraction (TF-SPME) was applied. The methodology was employed to perform targeted metabolomics of urinary steroids in women with PCOS and healthy controls. All measured androgens: An-dione (p < 0.0001), T (p = 0.0001), DHT (p < 0.0001) and An (p = 0.0002) showed significantly higher concentrations in the urine of women with PCOS. The largest difference in the mean concentration was found for DHT, which was 2.8 times higher in the PCOS group (13.9 ± 14.1 ng/mg creatinine) in comparison to healthy controls (4.9 ± 3.4 ng/mg creatinine). The results of receiver operating characteristic curve indicated that determination of the panel of three urinary androgens: T+DHT+An-dione with, under the study assumptions, was the best predictor of PCOS diagnosis (AUC of ROC curve = 0.91 (95 % CI: 0.8212-0.9905). The application of an LC-MS/MS-based analysis, together with highly sensitive extraction techniques like TF-SPME, is a suitable approach to perform fast assays and obtain reliable results - crucial in the search for valuable and significant steroids predictors of PCOS.
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Affiliation(s)
- Anna Rajska
- Department of Biopharmaceutics and Pharmacodynamics, Medical University of Gdańsk, Al. Gen. Hallera 107, Gdańsk 80-416, Poland
| | - Joanna Raczak-Gutknecht
- Department of Biopharmaceutics and Pharmacodynamics, Medical University of Gdańsk, Al. Gen. Hallera 107, Gdańsk 80-416, Poland
| | - Wiktoria Struck-Lewicka
- Department of Biopharmaceutics and Pharmacodynamics, Medical University of Gdańsk, Al. Gen. Hallera 107, Gdańsk 80-416, Poland
| | | | - Paweł Wityk
- Department of Biopharmaceutics and Pharmacodynamics, Medical University of Gdańsk, Al. Gen. Hallera 107, Gdańsk 80-416, Poland
| | - Phaedra Verding
- Department of Analytical Chemistry, Applied Chemometrics and Molecular Modelling, Vrije Universiteit Brussel, Laarbeeklaan 103, Brussels 1090, Belgium
| | | | - Danuta Siluk
- Department of Biopharmaceutics and Pharmacodynamics, Medical University of Gdańsk, Al. Gen. Hallera 107, Gdańsk 80-416, Poland.
| | - Dominik Rachoń
- Department of Clinical and Experimental Endocrinology, Medical University of Gdańsk, Dębinki 7, Gdańsk 80-211, Poland
| | - Michał Jan Markuszewski
- Department of Biopharmaceutics and Pharmacodynamics, Medical University of Gdańsk, Al. Gen. Hallera 107, Gdańsk 80-416, Poland.
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Evangelista S, Vazakidou P, Koekkoek J, Heinzelmann MT, Lichtensteiger W, Schlumpf M, Tresguerres JAF, Linillos-Pradillo B, van Duursen MBM, Lamoree MH, Leonards PEG. High throughput LC-MS/MS method for steroid hormone analysis in rat liver and plasma - unraveling methodological challenges. Talanta 2024; 266:124981. [PMID: 37516072 DOI: 10.1016/j.talanta.2023.124981] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 07/20/2023] [Accepted: 07/22/2023] [Indexed: 07/31/2023]
Abstract
Comprehensive reference data for steroid hormones are lacking in rat models, particularly for early developmental stages and unconventional matrices as the liver. Therefore, we developed and validated an enzymatic, solid-phase extraction (SPE) and liquid chromatography-tandem mass spectrometry (LC-MS/MS) method to quantify a panel of 23 steroid hormones in liver and plasma from adult and neonatal rats. Our approach tackles methodological challenges, focusing on undesired byproducts associated with specific enzymatic treatment, and enables a thorough assessment of potential interferences in complex matrices by utilizing unstripped plasma and liver. We propose an optimized enzymatic hydrolysis protocol using a recombinant β-glucuronidase/sulfatase mix (BGS mix) to efficiently deconjugate steroid phase II conjugates. The streamlined sample preparation and high-throughput solid phase extraction in a 96-well plate significantly accelerate sample processing for complex matrices and alarge number of samples. We were able to achieve the necessary sensitivity for accurately measuring the target analytes, particularly estrogens, in small sample sizes of 5-20 mg of liver tissue and 100 μL of plasma. Through the analysis of liver and plasma samples from adult and neonatal rats, including both sexes, our study showed a novel set of steroid hormone reference intervals. This study provides a reliable diagnostic tool for the quantification of steroids in rat models and gives insight in liver and plasma-related steroid hormone dynamics at early developmental stages. In addition, the method covers several pathway intermediates and extend the list of steroid hormones to be investigated.
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Affiliation(s)
- Sara Evangelista
- Amsterdam Institute for Life and Environment (A-LIFE), Faculty of Science, Vrije Universiteit Amsterdam, the Netherlands.
| | - Paraskevi Vazakidou
- Amsterdam Institute for Life and Environment (A-LIFE), Faculty of Science, Vrije Universiteit Amsterdam, the Netherlands
| | - Jacco Koekkoek
- Amsterdam Institute for Life and Environment (A-LIFE), Faculty of Science, Vrije Universiteit Amsterdam, the Netherlands
| | - Manuel T Heinzelmann
- Amsterdam Institute for Life and Environment (A-LIFE), Faculty of Science, Vrije Universiteit Amsterdam, the Netherlands
| | - Walter Lichtensteiger
- GREEN Tox and Institute of Veterinary Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland
| | - Margret Schlumpf
- GREEN Tox and Institute of Veterinary Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland
| | - Jesus A F Tresguerres
- Departments of Physiology and of Biochemistry and Molecular Biology, Complutense University of Madrid, Madrid, Spain
| | - Beatriz Linillos-Pradillo
- Departments of Physiology and of Biochemistry and Molecular Biology, Complutense University of Madrid, Madrid, Spain
| | - Majorie B M van Duursen
- Amsterdam Institute for Life and Environment (A-LIFE), Faculty of Science, Vrije Universiteit Amsterdam, the Netherlands
| | - Marja H Lamoree
- Amsterdam Institute for Life and Environment (A-LIFE), Faculty of Science, Vrije Universiteit Amsterdam, the Netherlands
| | - Pim E G Leonards
- Amsterdam Institute for Life and Environment (A-LIFE), Faculty of Science, Vrije Universiteit Amsterdam, the Netherlands
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10
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Brian Chia CS, Pheng Lim S. A Patent Review on SARS Coronavirus Papain-Like Protease (PL pro ) Inhibitors. ChemMedChem 2023; 18:e202300216. [PMID: 37248169 DOI: 10.1002/cmdc.202300216] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 05/29/2023] [Accepted: 05/29/2023] [Indexed: 05/31/2023]
Abstract
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic is an unprecedented global health emergency causing more than 6.6 million fatalities by 31 December 2022. So far, only three antiviral drugs have been granted emergency use authorisation or approved by the FDA. The SARS-CoV-2 papain-like protease (PLpro ) is deemed an attractive drug target as it plays an essential role in viral polyprotein processing and pathogenesis although no inhibitors have yet been approved. This patent review discusses coronavirus PLpro inhibitors reported in patents published between 1 January 2003 to 2 March 2023, giving an overview on the inhibitors that have generated commercial interest, especially amongst drug companies.
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Affiliation(s)
- C S Brian Chia
- Experimental Drug Development Centre (EDDC), Agency for Science, Technology and Research (A*STAR), 10 Biopolis Road, Chromos #08-01, Singapore, 138670, Singapore
| | - Siew Pheng Lim
- Experimental Drug Development Centre (EDDC), Agency for Science, Technology and Research (A*STAR), 10 Biopolis Road, Chromos #08-01, Singapore, 138670, Singapore
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Çağatay NU, Maviş ME, Erarpat S, Bakırdere S. Development of Fe 3O 4/reduced graphene oxide nanocomposite-based dispersive solid-phase extraction for the quantification of five steroid hormones. Bioanalysis 2023. [PMID: 37125877 DOI: 10.4155/bio-2023-0025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/02/2023] Open
Abstract
Aim: An accurate and sensitive analytical method was proposed to detect some steroid hormones in biological samples. Materials & methods: An Fe3O4/reduced graphene oxide nanocomposite-based dispersive solid-phase extraction was developed for the effective and simple preconcentration of steroid hormones from human serum samples. Results & conclusion: The nanocomposite was firstly used as adsorbent to simultaneously extract the selected hormones. Limit of detection values for the selected hormones were calculated between 5.5 and 39.2 ng/kg (mass based). An artificial serum sample was used to test the applicability and accuracy of the developed method; percentage recovery results obtained from two different spiked concentrations were found to be in the range of 80.5-99.9%.
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Affiliation(s)
- Neşe Ular Çağatay
- Yıldız Technical University, Faculty of Art & Science, Department of Chemistry, 34220, İstanbul, Türkiye
- Sem Laboratuar Cihazları Pazarlama San. ve Tic. A.Ş., R&D Center, Barbaros Mah. Temmuz Sok, no: 6, 34746, Ataşehir, İstanbul, Türkiye
| | - Murat Emrah Maviş
- Sem Laboratuar Cihazları Pazarlama San. ve Tic. A.Ş., R&D Center, Barbaros Mah. Temmuz Sok, no: 6, 34746, Ataşehir, İstanbul, Türkiye
| | - Sezin Erarpat
- Yıldız Technical University, Faculty of Art & Science, Department of Chemistry, 34220, İstanbul, Türkiye
| | - Sezgin Bakırdere
- Yıldız Technical University, Faculty of Art & Science, Department of Chemistry, 34220, İstanbul, Türkiye
- Turkish Academy of Sciences (TÜBA), Vedat Dalokay Street, no. 112, Çankaya, 06670, Ankara, Türkiye
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12
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Ramos-Garcia V, Ten-Doménech I, Moreno-Giménez A, Campos-Berga L, Parra-Llorca A, Ramón-Beltrán A, Vaya MJ, Mohareb F, Molitor C, Refinetti P, Silva A, Rodrigues LA, Rezzi S, Hodgson ACC, Canarelli S, Bathrellou E, Mamalaki E, Karipidou M, Poulimeneas D, Yannakoulia M, Akhgar CK, Schwaighofer A, Lendl B, Karrer J, Migliorelli D, Generelli S, Gormaz M, Vasileiadis M, Kuligowski J, Vento M. Fact-based nutrition for infants and lactating mothers-The NUTRISHIELD study. Front Pediatr 2023; 11:1130179. [PMID: 37144153 PMCID: PMC10151649 DOI: 10.3389/fped.2023.1130179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Accepted: 03/31/2023] [Indexed: 05/06/2023] Open
Abstract
Background Human milk (HM) is the ideal source of nutrients for infants. Its composition is highly variable according to the infant's needs. When not enough own mother's milk (OMM) is available, the administration of pasteurized donor human milk (DHM) is considered a suitable alternative for preterm infants. This study protocol describes the NUTRISHIELD clinical study. The main objective of this study is to compare the % weight gain/month in preterm and term infants exclusively receiving either OMM or DHM. Other secondary aims comprise the evaluation of the influence of diet, lifestyle habits, psychological stress, and pasteurization on the milk composition, and how it modulates infant's growth, health, and development. Methods and design NUTRISHIELD is a prospective mother-infant birth cohort in the Spanish-Mediterranean area including three groups: preterm infants <32 weeks of gestation (i) exclusively receiving (i.e., >80% of total intake) OMM, and (ii) exclusively receiving DHM, and (iii) term infants exclusively receiving OMM, as well as their mothers. Biological samples and nutritional, clinical, and anthropometric characteristics are collected at six time points covering the period from birth and until six months of infant's age. The genotype, metabolome, and microbiota as well as the HM composition are characterized. Portable sensor prototypes for the analysis of HM and urine are benchmarked. Additionally, maternal psychosocial status is measured at the beginning of the study and at month six. Mother-infant postpartum bonding and parental stress are also examined. At six months, infant neurodevelopment scales are applied. Mother's concerns and attitudes to breastfeeding are registered through a specific questionnaire. Discussion NUTRISHIELD provides an in-depth longitudinal study of the mother-infant-microbiota triad combining multiple biological matrices, newly developed analytical methods, and ad-hoc designed sensor prototypes with a wide range of clinical outcome measures. Data obtained from this study will be used to train a machine-learning algorithm for providing dietary advice to lactating mothers and will be implemented in a user-friendly platform based on a combination of user-provided information and biomarker analysis. A better understanding of the factors affecting milk's composition, together with the health implications for infants plays an important role in developing improved strategies of nutraceutical management in infant care. Clinical trial registration https://register.clinicaltrials.gov, identifier: NCT05646940.
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Affiliation(s)
| | - Isabel Ten-Doménech
- Neonatal Research Group, Health Research Institute La Fe (IISLAFE), Valencia, Spain
| | - Alba Moreno-Giménez
- Neonatal Research Group, Health Research Institute La Fe (IISLAFE), Valencia, Spain
| | - Laura Campos-Berga
- Neonatal Research Group, Health Research Institute La Fe (IISLAFE), Valencia, Spain
| | - Anna Parra-Llorca
- Neonatal Research Group, Health Research Institute La Fe (IISLAFE), Valencia, Spain
| | - Amparo Ramón-Beltrán
- Division of Neonatology, University & Polytechnic Hospital La Fe (HULAFE), Valencia, Spain
| | - María J. Vaya
- Blood Transfusion Center from the Valencian Community, Valencia, Spain
| | - Fady Mohareb
- The Bioinformatics Group, Cranfield Soil and Agrifood Institute, Cranfield University, Bedford, United Kingdom
| | - Corentin Molitor
- The Bioinformatics Group, Cranfield Soil and Agrifood Institute, Cranfield University, Bedford, United Kingdom
| | | | | | | | - Serge Rezzi
- Swiss Nutrition and Health Foundation, Epalinges, Switzerland
| | | | | | - Eirini Bathrellou
- Department of Nutrition and Dietetics, Harokopio University of Athens, Athens, Greece
| | - Eirini Mamalaki
- Department of Nutrition and Dietetics, Harokopio University of Athens, Athens, Greece
| | - Melina Karipidou
- Department of Nutrition and Dietetics, Harokopio University of Athens, Athens, Greece
| | - Dimitrios Poulimeneas
- Department of Nutrition and Dietetics, Harokopio University of Athens, Athens, Greece
| | - Mary Yannakoulia
- Department of Nutrition and Dietetics, Harokopio University of Athens, Athens, Greece
| | - Christopher K. Akhgar
- Research Division of Environmental Analytics, Process Analytics and Sensors, Institute of Chemical Technologies and Analytics, Technische Universität Wien, Vienna, Austria
| | - Andreas Schwaighofer
- Research Division of Environmental Analytics, Process Analytics and Sensors, Institute of Chemical Technologies and Analytics, Technische Universität Wien, Vienna, Austria
| | - Bernhard Lendl
- Research Division of Environmental Analytics, Process Analytics and Sensors, Institute of Chemical Technologies and Analytics, Technische Universität Wien, Vienna, Austria
| | | | - Davide Migliorelli
- Swiss Center for Electronics and Microtechnology (CSEM), Landquart, Suiza
| | - Silvia Generelli
- Swiss Center for Electronics and Microtechnology (CSEM), Landquart, Suiza
| | - María Gormaz
- Neonatal Research Group, Health Research Institute La Fe (IISLAFE), Valencia, Spain
- Division of Neonatology, University & Polytechnic Hospital La Fe (HULAFE), Valencia, Spain
| | | | - Julia Kuligowski
- Neonatal Research Group, Health Research Institute La Fe (IISLAFE), Valencia, Spain
- Correspondence: Julia Kuligowski
| | - Máximo Vento
- Neonatal Research Group, Health Research Institute La Fe (IISLAFE), Valencia, Spain
- Division of Neonatology, University & Polytechnic Hospital La Fe (HULAFE), Valencia, Spain
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13
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Kim SS, Kim JL, Hwang KS, Park HC, Bae MA, Kim KT, Cho SH. Mechanism of action and neurotoxic effects of chronic exposure to bisphenol F in adult zebrafish. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 851:158258. [PMID: 36030852 DOI: 10.1016/j.scitotenv.2022.158258] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Revised: 08/18/2022] [Accepted: 08/20/2022] [Indexed: 06/15/2023]
Abstract
Although bisphenol F (BPF), the main replacement for bisphenol A, has been commonly used in polycarbonate production, its neurotoxicity and the underlying mechanisms remain poorly understood. To address this knowledge gap, this study aimed to assess the neurotoxicity caused by chronic exposure to BPF and to identify its underlying mechanisms. We exposed adult zebrafish chronically to BPF at environmentally relevant concentrations (0.001, 0.01, and 0.1 mg/L) for 4 weeks. The results revealed that with BPF crossing the blood-brain barrier and bioaccumulating in brain tissues, chronic exposure to BPF resulted in anxiety-like behaviors and disruptions in learning and memory function in adult zebrafish. Furthermore, BPF toxicity in the zebrafish brain involved the dysregulation of metabolic pathways for choline and kynurenine in neurotransmitter systems and for 17β-estradiol, cortisol, pregnenolone-sulfate, and Dehydroepiandrosterone (DHEA)-sulfate in neurosteroid systems. RNA-seq analysis revealed that BPF exposure affected metabolic pathways, calcium signaling pathways, neuroactive ligand-receptor interactions, tight junctions, gap junctions, and the gonadotropin-releasing hormone signaling pathway. Our results indicate that chronic exposure to BPF alters the neurochemical profile of the brain and causes neurobehavioral effects, such as anxiety and cognitive decline. Overall, the multimodal approach, including behavioral and neurochemical profiling technologies, has great potential for the comprehensive assessment of potential risks posed by environmental pollutants to human and ecosystem health.
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Affiliation(s)
- Seong Soon Kim
- Bio & Drug Discovery Division, Korea Research Institute of Chemical Technology, Daejeon 34114, Republic of Korea
| | - Jiwon L Kim
- Department of Environmental Engineering, Seoul National University of Science and Technology, Seoul 01811, Republic of Korea
| | - Kyu-Seok Hwang
- Bio & Drug Discovery Division, Korea Research Institute of Chemical Technology, Daejeon 34114, Republic of Korea
| | - Hae-Chul Park
- Department of Biomedical Sciences, Korea University, Ansan, Gyeonggido 425-707, Republic of Korea
| | - Myung Ae Bae
- Bio & Drug Discovery Division, Korea Research Institute of Chemical Technology, Daejeon 34114, Republic of Korea; Department of Medicinal Chemistry and Pharmacology, University of Science & Technology, Daejeon 34113, Republic of Korea.
| | - Ki-Tae Kim
- Department of Environmental Engineering, Seoul National University of Science and Technology, Seoul 01811, Republic of Korea.
| | - Sung-Hee Cho
- Chemical Analysis Center, Korea Research Institute of Chemical Technology (KRICT), Daejeon 34114, Republic of Korea.
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14
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Kim JL, Kim SS, Hwang KS, Park HC, Cho SH, Bae MA, Kim KT. Chronic exposure to butyl-paraben causes photosensitivity disruption and memory impairment in adult zebrafish. AQUATIC TOXICOLOGY (AMSTERDAM, NETHERLANDS) 2022; 251:106279. [PMID: 36044784 DOI: 10.1016/j.aquatox.2022.106279] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Revised: 08/22/2022] [Accepted: 08/22/2022] [Indexed: 06/15/2023]
Abstract
Limited studies on neurotoxicity following chronic exposure to butyl‑paraben (BuP) have been conducted. In this study, neurobehavior in zebrafish adults was assessed using the novel tank test, photomotor response test, and T-maze test after exposure to BuP for 28 days at concentrations of 0, 0.01, 0.1, and 1.0 mg/L. To comprehensively understand the underlying molecular perturbations in the brain, alterations in transcripts, neurotransmitters, and neurosteroids were measured. We found that BuP penetrated the blood-brain barrier and impaired neurobehavior in photosensitivity at 1.0 mg/L and in memory at 0.1 and 1.0 mg/L. RNA-seq analysis showed that phototransduction, tight junctions, and neuroactive ligand receptor activity were significantly affected, which explains the observed abnormal neurobehaviors. Neurosteroid analysis revealed that BuP increased cortisol levels in a concentration-dependent manner and specifically reduced allopregnanolone levels at all tested concentrations, suggesting that cortisol and allopregnanolone are significant neurosteroid markers associated with photosensitivity and memory deficits. Collectively, we demonstrated that BuP can cross the blood-brain and modulate the levels of transcripts, associated with phototransduction and circadian rhythm, and neurosteroidal cortisol and allopregnanolone, resulting in abnormal neurobehavioral responses to light stimulation and learning and memory.
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Affiliation(s)
- Jiwon L Kim
- Department of Environmental Engineering, Seoul National University of Science and Technology, Seoul 01811, Republic of Korea
| | - Seong Soon Kim
- Bio Platform Technology Research Center, Korea Research Institute of Chemical Technology, Daejeon 34114, Republic of Korea
| | - Kyu-Seok Hwang
- Bio Platform Technology Research Center, Korea Research Institute of Chemical Technology, Daejeon 34114, Republic of Korea
| | - Hae-Chul Park
- Department of Biomedical Sciences, Korea University, Ansan 15355, Republic of Korea
| | - Sung-Hee Cho
- Chemical Analysis Center, Korea Research Institute of Chemical Technology, Daejeon 34114, Republic of Korea
| | - Myung Ae Bae
- Bio Platform Technology Research Center, Korea Research Institute of Chemical Technology, Daejeon 34114, Republic of Korea
| | - Ki-Tae Kim
- Department of Environmental Engineering, Seoul National University of Science and Technology, Seoul 01811, Republic of Korea.
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15
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Vogg N, Müller T, Floren A, Dandekar T, Scherf-Clavel O, Fassnacht M, Kroiss M, Kurlbaum M. Targeted metabolic profiling of urinary steroids with a focus on analytical accuracy and sample stability. J Mass Spectrom Adv Clin Lab 2022; 25:44-52. [PMID: 35910411 PMCID: PMC9334310 DOI: 10.1016/j.jmsacl.2022.07.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Revised: 07/20/2022] [Accepted: 07/20/2022] [Indexed: 11/16/2022] Open
Abstract
A robust and selective LC-MS/MS method for quantification of 11 urinary steroids was developed and validated. Optimized preparation of calibration standards improves method linearity and accuracy. Pre-analytical sample stability was extensively validated.
Introduction Methods Results Conclusions
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Affiliation(s)
- Nora Vogg
- Department of Internal Medicine I, Division of Endocrinology and Diabetes, University Hospital Würzburg, Germany
- Central Laboratory, Core Unit Clinical Mass Spectrometry, University Hospital Würzburg, Germany
| | - Tobias Müller
- Department of Bioinformatics, Biocenter, Am Hubland, University of Würzburg, Germany
| | - Andreas Floren
- Department of Bioinformatics, Biocenter, Am Hubland, University of Würzburg, Germany
| | - Thomas Dandekar
- Department of Bioinformatics, Biocenter, Am Hubland, University of Würzburg, Germany
| | - Oliver Scherf-Clavel
- Institute for Pharmacy and Food Chemistry, Am Hubland, University of Würzburg, Germany
| | - Martin Fassnacht
- Department of Internal Medicine I, Division of Endocrinology and Diabetes, University Hospital Würzburg, Germany
| | - Matthias Kroiss
- Department of Internal Medicine I, Division of Endocrinology and Diabetes, University Hospital Würzburg, Germany
- Department of Internal Medicine IV, University Hospital Munich, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Max Kurlbaum
- Department of Internal Medicine I, Division of Endocrinology and Diabetes, University Hospital Würzburg, Germany
- Central Laboratory, Core Unit Clinical Mass Spectrometry, University Hospital Würzburg, Germany
- Corresponding author at: Department of Internal Medicine I, Division of Endocrinology and Diabetes and Central Laboratory, Core Unit Clinical Mass Spectrometry, University Hospital Würzburg, Oberdürrbacher Str. 6, 97080 Würzburg, Germany.
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16
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Zhang H, Ruan Z, Wei D, Xia Q, Yang Y, Wang J, Gu Y, Wang S. Simultaneous Determination of Steroids and Glucocorticoids in Human Urine by Ultra-High-Performance Liquid Chromatography – Tandem Mass Spectrometry (UPLC–MS/MS). ANAL LETT 2022. [DOI: 10.1080/00032719.2022.2092124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Affiliation(s)
- Hao Zhang
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, China
| | - Zhenzhen Ruan
- College of Basic Medical Sciences & Institute of Basic Medical Research, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China
| | - Dong Wei
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, China
| | - Qianqian Xia
- Department of Oncology & Cancer Rehabilitation Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Yuchen Yang
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China
| | - Jinhui Wang
- Department of Clinical Laboratory, Xiamen Children's Hospital (Children's Hospital of Fudan University Xiamen Branch), Xiamen, China
| | - Yanhong Gu
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China
| | - Shizhi Wang
- Department of Oncology & Cancer Rehabilitation Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
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17
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Gegenschatz SA, Chiappini FA, Teglia CM, Muñoz de la Peña A, Goicoechea HC. Binding the gap between experiments, statistics, and method comparison: A tutorial for computing limits of detection and quantification in univariate calibration for complex samples. Anal Chim Acta 2022; 1209:339342. [PMID: 35569842 DOI: 10.1016/j.aca.2021.339342] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Revised: 11/26/2021] [Accepted: 11/29/2021] [Indexed: 11/30/2022]
Abstract
The present tutorial aims to review the most frequently reported criteria for the calculation of the limits of detection (LOD) and quantification (LOQ) in univariate calibration, summarizing their fundamentals, advantages, and limitations. The current criteria for estimating LOD and LOQ are based on diverse theoretical and/or empirical assumptions and require different amounts of experimental data, making the calculation rather complex in some cases. Moreover, alternative forms for calculating LOD/LOQ frequently lead to dissimilar results. This scenario might worsen in the case of complex analytical systems. Throughout this tutorial, different forms of calculating LOD/LOQ are illustrated using previously reported experimental datasets in the environmental chemistry field as examples. The influence of the sample matrix during the estimation of LOD/LOQ parameters is investigated through one calibration approache. The discrepancies in the obtained results with different criteria for the calculation of LOD/LOQ are highlighted. Finally, general guidelines and recommendations regarding experimental and data processing issues are proposed, aiming to promote fair criteria for the comparison of different analytical methodologies in terms of prediction ability and detection capability.
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Affiliation(s)
- Sofía A Gegenschatz
- Laboratorio de Desarrollo Analítico y Quimiometría (LADAQ), Cátedra de Química Analítica I, Facultad de Bioquímica y Ciencias Biológicas, Universidad Nacional del Litoral, Ciudad Universitaria, 3000, Santa Fe, Argentina
| | - Fabricio A Chiappini
- Laboratorio de Desarrollo Analítico y Quimiometría (LADAQ), Cátedra de Química Analítica I, Facultad de Bioquímica y Ciencias Biológicas, Universidad Nacional del Litoral, Ciudad Universitaria, 3000, Santa Fe, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Godoy Cruz 2290 CP, C1425FQB, Buenos Aires, Argentina
| | - Carla M Teglia
- Laboratorio de Desarrollo Analítico y Quimiometría (LADAQ), Cátedra de Química Analítica I, Facultad de Bioquímica y Ciencias Biológicas, Universidad Nacional del Litoral, Ciudad Universitaria, 3000, Santa Fe, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Godoy Cruz 2290 CP, C1425FQB, Buenos Aires, Argentina.
| | | | - Héctor C Goicoechea
- Laboratorio de Desarrollo Analítico y Quimiometría (LADAQ), Cátedra de Química Analítica I, Facultad de Bioquímica y Ciencias Biológicas, Universidad Nacional del Litoral, Ciudad Universitaria, 3000, Santa Fe, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Godoy Cruz 2290 CP, C1425FQB, Buenos Aires, Argentina.
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18
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Karashima S, Osaka I. Rapidity and Precision of Steroid Hormone Measurement. J Clin Med 2022; 11:jcm11040956. [PMID: 35207229 PMCID: PMC8879901 DOI: 10.3390/jcm11040956] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Revised: 02/07/2022] [Accepted: 02/09/2022] [Indexed: 11/16/2022] Open
Abstract
Steroids are present in all animals and plants, from mammals to prokaryotes. In the medical field, steroids are commonly classified as glucocorticoids, mineralocorticoids, and gonadal steroid hormones. Monitoring of hormones is useful in clinical and research fields for the assessment of physiological changes associated with aging, disease risk, and the diagnostic and therapeutic effects of various diseases. Since the discovery and isolation of steroid hormones, measurement methods for steroid hormones in biological samples have advanced substantially. Although immunoassays (IAs) are widely used in daily practice, mass spectrometry (MS)-based methods have been reported to be more specific. Steroid hormone measurement based on MS is desirable in clinical practice; however, there are several drawbacks, including the purchase and maintenance costs of the MS instrument and the need for specialized training of technicians. In this review, we discuss IA- and MS-based methods currently in use and briefly present the history of steroid hormone measurement. In addition, we describe recent advances in IA- and MS-based methods and future applications and considerations.
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Affiliation(s)
- Shigehiro Karashima
- Institute of Liberal Arts and Science, Kanazawa University, Kanazawa 921-1192, Japan
- Correspondence: (S.K.); (I.O.)
| | - Issey Osaka
- Department of Pharmaceutical Engineering, Faculty of Engineering, Toyama Prefectural University, Imizu 939-0398, Japan
- Correspondence: (S.K.); (I.O.)
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20
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Silla AJ, Calatayud NE, Trudeau VL. Amphibian reproductive technologies: approaches and welfare considerations. CONSERVATION PHYSIOLOGY 2021; 9:coab011. [PMID: 33763231 PMCID: PMC7976225 DOI: 10.1093/conphys/coab011] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/08/2020] [Revised: 01/29/2021] [Accepted: 02/07/2021] [Indexed: 06/12/2023]
Abstract
Captive breeding and reintroduction programs have been established for several threatened amphibian species globally, but with varied success. This reflects our relatively poor understanding of the hormonal control of amphibian reproduction and the stimuli required to initiate and complete reproductive events. While the amphibian hypothalamo-pituitary-gonadal (HPG) axis shares fundamental similarities with both teleosts and tetrapods, there are more species differences than previously assumed. As a result, many amphibian captive breeding programs fail to reliably initiate breeding behaviour, achieve high rates of fertilization or generate large numbers of healthy, genetically diverse offspring. Reproductive technologies have the potential to overcome these challenges but should be used in concert with traditional methods that manipulate environmental conditions (including temperature, nutrition and social environment). Species-dependent methods for handling, restraint and hormone administration (including route and frequency) are discussed to ensure optimal welfare of captive breeding stock. We summarize advances in hormone therapies and discuss two case studies that illustrate some of the challenges and successes with amphibian reproductive technologies: the mountain yellow-legged frog (Rana muscosa; USA) and the northern corroboree frog (Pseudophryne pengilleyi; Australia). Further research is required to develop hormone therapies for a greater number of species to boost global conservation efforts.
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Affiliation(s)
- Aimee J Silla
- Corresponding author: School of Earth, Atmospheric and Life Sciences, University of Wollongong, Northfields Ave, Wollongong, New South Wales 2522, Australia.
| | - Natalie E Calatayud
- Taronga Institute of Science and Learning, Taronga Conservation Society Australia, Taronga, Western Plains Zoo, Obley Rd, Dubbo, New South Wales 2830, Australia
- San Diego Zoo Global-Beckman Center for Conservation Research, San Pasqual Valley Rd, Escondido, CA 92027, USA
| | - Vance L Trudeau
- Department of Biology, University of Ottawa, Ottawa, Ontario K1N 6N5, Canada
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21
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Olesti E, Boccard J, Visconti G, González-Ruiz V, Rudaz S. From a single steroid to the steroidome: Trends and analytical challenges. J Steroid Biochem Mol Biol 2021; 206:105797. [PMID: 33259940 DOI: 10.1016/j.jsbmb.2020.105797] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Revised: 11/02/2020] [Accepted: 11/24/2020] [Indexed: 12/23/2022]
Abstract
For several decades now, the analysis of steroids has been a key tool in the diagnosis and monitoring of numerous endocrine pathologies. Thus, the available methods used to analyze steroids in biological samples have dramatically evolved over time following the rapid pace of technology and scientific knowledge. This review aims to synthetize the advances in steroids' analysis, from classical approaches considering only a few steroids or a limited number of steroid ratios, up to the new steroid profiling strategies (steroidomics) monitoring large sets of steroids in biological matrices. In this context, the use of liquid chromatography coupled to mass spectrometry has emerged as the technique of choice for the simultaneous determination of a high number of steroids, including phase II metabolites, due to its sensitivity and robustness. However, the large dynamic range to be covered, the low natural abundance of some key steroids, the selectivity of the analytical methods, the extraction protocols, and the steroid ionization remain some of the current challenges in steroid analysis. This review provides an overview of the different analytical workflows available depending on the number of steroids under study. Special emphasis is given to sample treatment, acquisition strategy, data processing, steroid identification and quantification using LC-MS approaches. This work also outlines how the availability of steroid standards, the need for complementary analytical strategies and the improvement of calibration approaches are crucial for achieving complete steroidome quantification.
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Affiliation(s)
- Eulalia Olesti
- Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Switzerland; School of Pharmaceutical Sciences, University of Geneva, Switzerland; Swiss Centre for Applied Human Toxicology (SCAHT), Switzerland
| | - Julien Boccard
- Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Switzerland; School of Pharmaceutical Sciences, University of Geneva, Switzerland; Swiss Centre for Applied Human Toxicology (SCAHT), Switzerland
| | - Gioele Visconti
- Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Switzerland; School of Pharmaceutical Sciences, University of Geneva, Switzerland
| | - Víctor González-Ruiz
- Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Switzerland; School of Pharmaceutical Sciences, University of Geneva, Switzerland; Swiss Centre for Applied Human Toxicology (SCAHT), Switzerland
| | - Serge Rudaz
- Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Switzerland.
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22
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Kim SS, Kan H, Hwang KS, Yang JY, Son Y, Shin DS, Lee BH, Ahn SH, Ahn JH, Cho SH, Bae MA. Neurochemical Effects of 4-(2Chloro-4-Fluorobenzyl)-3-(2-Thienyl)-1,2,4-Oxadiazol-5(4H)-One in the Pentylenetetrazole (PTZ)-Induced Epileptic Seizure Zebrafish Model. Int J Mol Sci 2021; 22:1285. [PMID: 33525453 PMCID: PMC7865321 DOI: 10.3390/ijms22031285] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Revised: 01/18/2021] [Accepted: 01/26/2021] [Indexed: 01/03/2023] Open
Abstract
Epilepsy is one of the most common neurological disorders, and it is characterized by spontaneous seizures. In a previous study, we identified 4-(2-chloro-4-fluorobenzyl)-3-(2-thienyl)-1,2,4-oxadiazol-5(4H)-one (GM-90432) as a novel anti-epileptic agent in chemically- or genetically-induced epileptic zebrafish and mouse models. In this study, we investigated the anti-epileptic effects of GM-90432 through neurochemical profiling-based approach to understand the neuroprotective mechanism in a pentylenetetrazole (PTZ)-induced epileptic seizure zebrafish model. GM-90432 effectively improved PTZ-induced epileptic behaviors via upregulation of 5-hydroxytryptamine, 17-β-estradiol, dihydrotestosterone, progesterone, 5α -dihydroprogesterone, and allopregnanolone levels, and downregulation of normetanephrine, gamma-aminobutyric acid, and cortisol levels in brain tissue. GM-90432 also had a protective effect against PTZ-induced oxidative stress and zebrafish death, suggesting that it exhibits biphasic neuroprotective effects via scavenging of reactive oxygen species and anti-epileptic activities in a zebrafish model. In conclusion, our results suggest that neurochemical profiling study could be used to better understand of anti-epileptic mechanism of GM-90432, potentially leading to new drug discovery and development of anti-seizure agents.
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Affiliation(s)
- Seong Soon Kim
- Bio & Drug Discovery Division, Korea Research Institute of Chemical Technology, Daejeon 34114, Korea; (S.S.K.); (H.K.); (K.-S.H.); (J.Y.Y.); (Y.S.); (D.-S.S.); (B.H.L.)
| | - Hyemin Kan
- Bio & Drug Discovery Division, Korea Research Institute of Chemical Technology, Daejeon 34114, Korea; (S.S.K.); (H.K.); (K.-S.H.); (J.Y.Y.); (Y.S.); (D.-S.S.); (B.H.L.)
| | - Kyu-Seok Hwang
- Bio & Drug Discovery Division, Korea Research Institute of Chemical Technology, Daejeon 34114, Korea; (S.S.K.); (H.K.); (K.-S.H.); (J.Y.Y.); (Y.S.); (D.-S.S.); (B.H.L.)
| | - Jung Yoon Yang
- Bio & Drug Discovery Division, Korea Research Institute of Chemical Technology, Daejeon 34114, Korea; (S.S.K.); (H.K.); (K.-S.H.); (J.Y.Y.); (Y.S.); (D.-S.S.); (B.H.L.)
| | - Yuji Son
- Bio & Drug Discovery Division, Korea Research Institute of Chemical Technology, Daejeon 34114, Korea; (S.S.K.); (H.K.); (K.-S.H.); (J.Y.Y.); (Y.S.); (D.-S.S.); (B.H.L.)
| | - Dae-Seop Shin
- Bio & Drug Discovery Division, Korea Research Institute of Chemical Technology, Daejeon 34114, Korea; (S.S.K.); (H.K.); (K.-S.H.); (J.Y.Y.); (Y.S.); (D.-S.S.); (B.H.L.)
| | - Byung Hoi Lee
- Bio & Drug Discovery Division, Korea Research Institute of Chemical Technology, Daejeon 34114, Korea; (S.S.K.); (H.K.); (K.-S.H.); (J.Y.Y.); (Y.S.); (D.-S.S.); (B.H.L.)
| | - Se Hwan Ahn
- Department of Chemistry, Gwangju Institute of Science and Technology, Gwangju 61005, Korea; (S.H.A.); (J.H.A.)
| | - Jin Hee Ahn
- Department of Chemistry, Gwangju Institute of Science and Technology, Gwangju 61005, Korea; (S.H.A.); (J.H.A.)
| | - Sung-Hee Cho
- Chemical Analysis Center, Korea Research Institute of Chemical Technology, Daejeon 34114, Korea
| | - Myung Ae Bae
- Bio & Drug Discovery Division, Korea Research Institute of Chemical Technology, Daejeon 34114, Korea; (S.S.K.); (H.K.); (K.-S.H.); (J.Y.Y.); (Y.S.); (D.-S.S.); (B.H.L.)
- Department of Medicinal Chemistry and Pharmacology, University of Science & Technology, Daejeon 34113, Korea
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Gravitte A, Archibald T, Cobble A, Kennard B, Brown S. Liquid chromatography-mass spectrometry applications for quantification of endogenous sex hormones. Biomed Chromatogr 2020; 35:e5036. [PMID: 33226656 DOI: 10.1002/bmc.5036] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2020] [Revised: 11/20/2020] [Accepted: 11/20/2020] [Indexed: 01/18/2023]
Abstract
Liquid chromatography, coupled with tandem mass spectrometry, presents a powerful tool for the quantification of the sex steroid hormones 17-β estradiol, progesterone and testosterone from biological matrices. The importance of accurate quantification with these hormones, even at endogenous levels, has evolved with our understanding of the role these regulators play in human development, fertility and disease risk and manifestation. Routine monitoring of these analytes can be accomplished by immunoassay techniques, which face limitations on specificity and sensitivity, or using gas chromatography-mass spectrometry. LC-MS/MS is growing in capability and acceptance for clinically relevant quantification of sex steroid hormones in biological matrices and is able to overcome many of the limitations of immunoassays. Analyte specificity has improved through the use of novel derivatizing agents, and sensitivity has been refined through the use of high-resolution chromatography and mass spectrometric technology. This review highlights these innovations, among others, in LC-MS/MS steroid hormone analysis captured in the literature over the last decade.
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Affiliation(s)
- Amy Gravitte
- James H Quillen College of Medicine, East Tennessee State University, Department of Biomedical Sciences, Johnson City, TN, USA
| | - Timothy Archibald
- Bill Gatton College of Pharmacy, East Tennessee State University, Department of Pharmaceutical Sciences, Johnson City, TN, USA
| | - Allison Cobble
- Bill Gatton College of Pharmacy, East Tennessee State University, Department of Pharmaceutical Sciences, Johnson City, TN, USA
| | - Benjamin Kennard
- Bill Gatton College of Pharmacy, East Tennessee State University, Department of Pharmaceutical Sciences, Johnson City, TN, USA
| | - Stacy Brown
- Bill Gatton College of Pharmacy, East Tennessee State University, Department of Pharmaceutical Sciences, Johnson City, TN, USA
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