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Naufel MF, Pedroso AP, de Souza AP, Boldarine VT, Oyama LM, Lo Turco EG, Hachul H, Ribeiro EB, Telles MM. Targeted Analysis of Plasma Polar Metabolites in Postmenopausal Depression. Metabolites 2024; 14:286. [PMID: 38786763 PMCID: PMC11123176 DOI: 10.3390/metabo14050286] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2024] [Revised: 04/19/2024] [Accepted: 05/03/2024] [Indexed: 05/25/2024] Open
Abstract
Depression will be the disease with the highest incidence worldwide by 2030. Data indicate that postmenopausal women have a higher incidence of mood disorders, and this high vulnerability seems to be related to hormonal changes and weight gain. Although research evaluating the profile of metabolites in mood disorders is advancing, further research, maintaining consistent methodology, is necessary to reach a consensus. Therefore, the objective of the present study was to carry out an exploratory analysis of the plasma polar metabolites of pre- and postmenopausal women to explore whether the profile is affected by depression. The plasma analysis of 50 polar metabolites was carried out in a total of 67 postmenopausal women, aged between 50 and 65 years, either without depression (n = 25) or with depression symptoms (n = 42), which had spontaneous onset of menopause and were not in use of hormone replacement therapy, insulin, or antidepressants; and in 42 healthy premenopausal women (21 without depression and 21 with depression symptoms), aged between 40 and 50 years and who were not in use of contraceptives, insulin, or antidepressants. Ten metabolites were significantly affected by depression symptoms postmenopause, including adenosine (FDR = 3.778 × 10-14), guanosine (FDR = 3.001 × 10-14), proline (FDR = 1.430 × 10-6), citrulline (FDR = 0.0001), lysine (FDR = 0.0004), and carnitine (FDR = 0.0331), which were down-regulated, and dimethylglycine (FDR = 0.0022), glutathione (FDR = 0.0048), creatine (FDR = 0.0286), and methionine (FDR = 0.0484) that were up-regulated. In premenopausal women with depression, oxidized glutathione (FDR = 0.0137) was down-regulated, and dimethylglycine (FDR = 0.0406) and 4-hydroxyproline (FDR = 0.0433) were up-regulated. The present study provided new data concerning the consequences of depression on plasma polar metabolites before and after the establishment of menopause. The results demonstrated that the postmenopausal condition presented more alterations than the premenopausal period and may indicate future measures to treat the disturbances involved in both menopause and depression.
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Affiliation(s)
- Maria Fernanda Naufel
- Department of Physiology, Universidade Federal de São Paulo (UNIFESP-EPM), Rua Botucatu 862, Vila Clementino, São Paulo 04023-062, SP, Brazil; (A.P.P.); (A.P.d.S.); (V.T.B.); (L.M.O.); (M.M.T.)
| | - Amanda Paula Pedroso
- Department of Physiology, Universidade Federal de São Paulo (UNIFESP-EPM), Rua Botucatu 862, Vila Clementino, São Paulo 04023-062, SP, Brazil; (A.P.P.); (A.P.d.S.); (V.T.B.); (L.M.O.); (M.M.T.)
| | - Adriana Pereira de Souza
- Department of Physiology, Universidade Federal de São Paulo (UNIFESP-EPM), Rua Botucatu 862, Vila Clementino, São Paulo 04023-062, SP, Brazil; (A.P.P.); (A.P.d.S.); (V.T.B.); (L.M.O.); (M.M.T.)
| | - Valter Tadeu Boldarine
- Department of Physiology, Universidade Federal de São Paulo (UNIFESP-EPM), Rua Botucatu 862, Vila Clementino, São Paulo 04023-062, SP, Brazil; (A.P.P.); (A.P.d.S.); (V.T.B.); (L.M.O.); (M.M.T.)
| | - Lila Missae Oyama
- Department of Physiology, Universidade Federal de São Paulo (UNIFESP-EPM), Rua Botucatu 862, Vila Clementino, São Paulo 04023-062, SP, Brazil; (A.P.P.); (A.P.d.S.); (V.T.B.); (L.M.O.); (M.M.T.)
| | | | - Helena Hachul
- Department of Psychobiology, UNIFESP-EPM, São Paulo 04023-062, SP, Brazil;
- Department Gynaecology, UNIFESP-EPM, São Paulo 04023-062, SP, Brazil
| | - Eliane Beraldi Ribeiro
- Department of Physiology, Universidade Federal de São Paulo (UNIFESP-EPM), Rua Botucatu 862, Vila Clementino, São Paulo 04023-062, SP, Brazil; (A.P.P.); (A.P.d.S.); (V.T.B.); (L.M.O.); (M.M.T.)
| | - Mônica Marques Telles
- Department of Physiology, Universidade Federal de São Paulo (UNIFESP-EPM), Rua Botucatu 862, Vila Clementino, São Paulo 04023-062, SP, Brazil; (A.P.P.); (A.P.d.S.); (V.T.B.); (L.M.O.); (M.M.T.)
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Wang Y, Han X, Shi J, Liao Z, Zhang Y, Li Y, Jiang M, Liu M. Distinct Metabolites in Osteopenia and Osteoporosis: A Systematic Review and Meta-Analysis. Nutrients 2023; 15:4895. [PMID: 38068753 PMCID: PMC10708105 DOI: 10.3390/nu15234895] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Revised: 11/04/2023] [Accepted: 11/12/2023] [Indexed: 12/18/2023] Open
Abstract
Multiple studies have indicated that distinct metabolites are involved in the occurrence and development of osteopenia (ON) and osteoporosis (OP); however, these metabolites in OP and ON have not yet been classified and standardized. This systematic review and meta-analysis included 21 articles aiming to investigate the distinct metabolites in patients with ON and OP. The quality of the included articles was generally high; seventeen studies had >7 stars, and the remaining four received 6 stars. This systematic review showed that three metabolites (phosphatidylcholine (PC) (lipid metabolites), galactose (carbohydrate metabolites), and succinic acid (other metabolites)) increased, four (glycylglycine (gly-gly), cystine (amino acids), sphingomyelin (SM) (lipid metabolites) and glucose (carbohydrate metabolites)) decreased, and five (glutamine, hydroxyproline, taurine (amino acids), lysophosphatidylcholine (LPC) (lipid metabolites), and lactate (other metabolites)) had conflicting directions in OP/ON. The results of the meta-analysis show that gly-gly (MD = -0.77, 95%CI -1.43 to -0.11, p = 0.02) and cystine (MD = -5.52, 95%CI -7.35 to -3.68, p < 0.00001) decreased in the OP group compared with the healthy control group. Moreover, LPC (MD = 1.48, 95%CI 0.11 to 2.86, p = 0.03) increased in the OP group compared with the healthy control group. These results indicate that distinct metabolites were associated with ON and OP, which could be considered a predictor for OP.
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Affiliation(s)
- Yuhe Wang
- Beijing Key Laboratory of Traditional Chinese Medicine Basic Research on Prevention and Treatment for Major Diseases, Experimental Research Center, China Academy of Chinese Medical Sciences, Beijing 100700, China; (Y.W.); (J.S.); (Z.L.); (Y.Z.); (Y.L.)
| | - Xu Han
- Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China;
| | - Jingru Shi
- Beijing Key Laboratory of Traditional Chinese Medicine Basic Research on Prevention and Treatment for Major Diseases, Experimental Research Center, China Academy of Chinese Medical Sciences, Beijing 100700, China; (Y.W.); (J.S.); (Z.L.); (Y.Z.); (Y.L.)
| | - Zeqi Liao
- Beijing Key Laboratory of Traditional Chinese Medicine Basic Research on Prevention and Treatment for Major Diseases, Experimental Research Center, China Academy of Chinese Medical Sciences, Beijing 100700, China; (Y.W.); (J.S.); (Z.L.); (Y.Z.); (Y.L.)
| | - Yuanyue Zhang
- Beijing Key Laboratory of Traditional Chinese Medicine Basic Research on Prevention and Treatment for Major Diseases, Experimental Research Center, China Academy of Chinese Medical Sciences, Beijing 100700, China; (Y.W.); (J.S.); (Z.L.); (Y.Z.); (Y.L.)
| | - Yuanyuan Li
- Beijing Key Laboratory of Traditional Chinese Medicine Basic Research on Prevention and Treatment for Major Diseases, Experimental Research Center, China Academy of Chinese Medical Sciences, Beijing 100700, China; (Y.W.); (J.S.); (Z.L.); (Y.Z.); (Y.L.)
| | - Miao Jiang
- Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China;
| | - Meijie Liu
- Beijing Key Laboratory of Traditional Chinese Medicine Basic Research on Prevention and Treatment for Major Diseases, Experimental Research Center, China Academy of Chinese Medical Sciences, Beijing 100700, China; (Y.W.); (J.S.); (Z.L.); (Y.Z.); (Y.L.)
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Patriarca EJ, Cermola F, D’Aniello C, Fico A, Guardiola O, De Cesare D, Minchiotti G. The Multifaceted Roles of Proline in Cell Behavior. Front Cell Dev Biol 2021; 9:728576. [PMID: 34458276 PMCID: PMC8397452 DOI: 10.3389/fcell.2021.728576] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Accepted: 07/23/2021] [Indexed: 12/13/2022] Open
Abstract
Herein, we review the multifaceted roles of proline in cell biology. This peculiar cyclic imino acid is: (i) A main precursor of extracellular collagens (the most abundant human proteins), antimicrobial peptides (involved in innate immunity), salivary proteins (astringency, teeth health) and cornifins (skin permeability); (ii) an energy source for pathogenic bacteria, protozoan parasites, and metastatic cancer cells, which engage in extracellular-protein degradation to invade their host; (iii) an antistress molecule (an osmolyte and chemical chaperone) helpful against various potential harms (UV radiation, drought/salinity, heavy metals, reactive oxygen species); (iv) a neural metabotoxin associated with schizophrenia; (v) a modulator of cell signaling pathways such as the amino acid stress response and extracellular signal-related kinase pathway; (vi) an epigenetic modifier able to promote DNA and histone hypermethylation; (vii) an inducer of proliferation of stem and tumor cells; and (viii) a modulator of cell morphology and migration/invasiveness. We highlight how proline metabolism impacts beneficial tissue regeneration, but also contributes to the progression of devastating pathologies such as fibrosis and metastatic cancer.
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Affiliation(s)
| | | | | | | | | | | | - Gabriella Minchiotti
- Stem Cell Fate Laboratory, Institute of Genetics and Biophysics “A. Buzzati Traverso”, Consiglio Nazionale delle Ricerche, Naples, Italy
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Bahtiar A, Setyowati HT, Mahanani RR, Wati A, Arsianti A, Fadilah F. Rhaponticin contained Rheum officinale root extract improved Postmenopause symptom of Ovariectomized Rat. J Adv Pharm Technol Res 2021; 12:175-179. [PMID: 34159150 PMCID: PMC8177149 DOI: 10.4103/japtr.japtr_324_20] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Revised: 02/16/2021] [Accepted: 03/17/2021] [Indexed: 11/25/2022] Open
Abstract
Postmenopausal women have decreased levels of the hormone estrogen. Reduced estrogen levels will often involve many symptoms that reduced quality of life. This research aims to analyze the effects of Rheum officinale root extract on postmenopausal model rats. To this end, thirty rats underwent ovariectomy (OVX) surgery and six rats were operated without having their ovaries removed. The OVX was confirmed by body weight–uterus weight ratio and a vaginal swab. Six groups of the rats were performed: SHAM group and negative control groups are given vehicle; the positive control was assigned tamoxifen; and the extract has been given three doses 7, 35, and 175 mg/200 g BW, respectively, for 30 days. The calcium content of bone ash was measured using atomic absorption spectrophotometer. Blood pressure was evaluated using CODA®, and the metabolites in the blood were assessed using gas chromatography–mass spectrometry (MS) and high-performance liquid chromatography. As a result, using ultra-performance liquid chromatography (UPLC)-MS, we found that the extract's major component was rhaponticin and its metabolites. The bone calcium levels increased with increasing doses of the extract. In the OVX group, the bone calcium content was decreased significantly 51.56% ± 8.9% g compared with the SHAM group 62.97% ±5.6% g, and the administration of Rheum extract could restore the calcium content of the bone to become 69.27% ± 3.8% g. From the above data, we concluded that Rheum root extracts contain astrigin, rhaponticin, rhapontigenin, and desoxyrhaponticin. Rheum root extract could improve calcium content and lipid profiles of OVX rats by stimulation osteoblastogenesis. Rheum root extracts could control the blood pressure of OVX rats by reducing lipid profiles.
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Affiliation(s)
- Anton Bahtiar
- Department of Pharmacology and Toxicology, Faculty of Pharmacy, Universitas Indonesia Kampus UI Depok 16424, Jakarta, Indonesia
| | - Herlina Tri Setyowati
- Department of Pharmacology and Toxicology, Faculty of Pharmacy, Universitas Indonesia Kampus UI Depok 16424, Jakarta, Indonesia
| | - Retno Rela Mahanani
- Department of Pharmacology and Toxicology, Faculty of Pharmacy, Universitas Indonesia Kampus UI Depok 16424, Jakarta, Indonesia
| | - Azizah Wati
- Department of Pharmacology and Toxicology, Faculty of Pharmacy, Universitas Indonesia Kampus UI Depok 16424, Jakarta, Indonesia
| | - Ade Arsianti
- Department of Medicinal Chemistry, Faculty of Medicine, Universitas Indonesia Kampus UI Jl Salemba Raya, Jakarta, Indonesia
| | - Fadilah Fadilah
- Department of Medicinal Chemistry, Faculty of Medicine, Universitas Indonesia Kampus UI Jl Salemba Raya, Jakarta, Indonesia
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Zhao Q, Shen H, Su KJ, Zhang JG, Tian Q, Zhao LJ, Qiu C, Zhang Q, Garrett TJ, Liu J, Deng HW. Metabolomic profiles associated with bone mineral density in US Caucasian women. Nutr Metab (Lond) 2018; 15:57. [PMID: 30116286 PMCID: PMC6086033 DOI: 10.1186/s12986-018-0296-5] [Citation(s) in RCA: 47] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2018] [Accepted: 07/30/2018] [Indexed: 02/08/2023] Open
Abstract
Background Individuals’ peak bone mineral density (BMD) achieved and maintained at ages 20–40 years is the most powerful predictor of low bone mass and osteoporotic fractures later in life. The aim of this study was to identify metabolomic factors associated with peak BMD variation in US Caucasian women. Methods A total of 136 women aged 20–40 years, including 65 subjects with low and 71 with high hip BMD, were enrolled. The serum metabolites were assessed using a liquid chromatography-mass spectrometry (LC-MS) method. The partial least-squares discriminant analysis (PLS-DA) method and logistic regression models were used, respectively, to examine the associations of metabolomic profiles and individual metabolites with BMD. Results The low and high BMD groups could be differentiated by the detected serum metabolites using PLS-DA (Ppermutation = 0.008). A total of 14 metabolites, including seven amino acids and amino acid derivatives, five lipids (including three bile acids), and two organic acids, were significantly associated with the risk for low BMD. Most of these metabolites are novel in that they have never been linked with BMD in humans earlier. The prediction model including the newly identified metabolites significantly improved the classification of the groups with low and high BMD. The area under the receiver operating characteristic curve without and with metabolites were 0.88 (95% CI: 0.83–0.94) and 0.97 (95% CI: 0.94–0.99), respectively (P for the difference = 0.0004). Conclusion Metabolomic profiling may improve the risk prediction of osteoporosis among Caucasian women. Our findings also suggest the potential importance of the metabolism of amino acids and bile acids in bone health.
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Affiliation(s)
- Qi Zhao
- 1Department of Preventive Medicine, College of Medicine, University of Tennessee Health Science Center, 66 N, Memphis, TN 38163 USA
| | - Hui Shen
- 2Tulane Center of Bioinformatics and Genomics, Department of Global Biostatistics and Data Science, Tulane University School of Public Health and Tropical Medicine, 1440 Canal St., RM 1619F, New Orleans, LA 70112 USA
| | - Kuan-Jui Su
- 2Tulane Center of Bioinformatics and Genomics, Department of Global Biostatistics and Data Science, Tulane University School of Public Health and Tropical Medicine, 1440 Canal St., RM 1619F, New Orleans, LA 70112 USA
| | - Ji-Gang Zhang
- 2Tulane Center of Bioinformatics and Genomics, Department of Global Biostatistics and Data Science, Tulane University School of Public Health and Tropical Medicine, 1440 Canal St., RM 1619F, New Orleans, LA 70112 USA
| | - Qing Tian
- 2Tulane Center of Bioinformatics and Genomics, Department of Global Biostatistics and Data Science, Tulane University School of Public Health and Tropical Medicine, 1440 Canal St., RM 1619F, New Orleans, LA 70112 USA
| | - Lan-Juan Zhao
- 2Tulane Center of Bioinformatics and Genomics, Department of Global Biostatistics and Data Science, Tulane University School of Public Health and Tropical Medicine, 1440 Canal St., RM 1619F, New Orleans, LA 70112 USA
| | - Chuan Qiu
- 2Tulane Center of Bioinformatics and Genomics, Department of Global Biostatistics and Data Science, Tulane University School of Public Health and Tropical Medicine, 1440 Canal St., RM 1619F, New Orleans, LA 70112 USA
| | - Qiang Zhang
- 2Tulane Center of Bioinformatics and Genomics, Department of Global Biostatistics and Data Science, Tulane University School of Public Health and Tropical Medicine, 1440 Canal St., RM 1619F, New Orleans, LA 70112 USA
| | - Timothy J Garrett
- 3Southeast Center for Integrated Metabolomics Core, University of Florida, Gainesville, FL 32610 USA
| | - Jiawang Liu
- 4Medicinal Chemistry Core, Office of Research, University of Tennessee Health Science Center, Memphis, TN 38163 USA.,5Department of Pharmaceutical Science, College of Pharmacy, University of Tennessee Health Science Center, Memphis, TN 38163 USA
| | - Hong-Wen Deng
- 2Tulane Center of Bioinformatics and Genomics, Department of Global Biostatistics and Data Science, Tulane University School of Public Health and Tropical Medicine, 1440 Canal St., RM 1619F, New Orleans, LA 70112 USA.,6School of Basic Medical Science, Central South University, Changsha, 410013 Hunan China.,7National Clinical Research Center for Geriatric Diseases, Xiangya Hospital, Central South University, Changsha, 410078 Hunan China
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