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Wang DD, Tang GF, Li YY, Yu JJ, Lei XJ, Cao YC, Yao JH. Differences in serum metabolome profile explain individual variation in growth performance of young goats. J Proteomics 2023; 288:104982. [PMID: 37532014 DOI: 10.1016/j.jprot.2023.104982] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 07/14/2023] [Accepted: 07/30/2023] [Indexed: 08/04/2023]
Abstract
High growth rates and body weight are important traits of young dairy goats that can shorten generation intervals, improve animal performance, and increase economic benefits. In the present study, ninety-nine, 6-month-old, female goats were fed with the same diet and kept under the same management condition. The ten goats with highest average daily gain (ADG, HADG, 135.27 ± 4.59 g/d) and ten goats with lowest ADG (LADG, 87.74 ± 3.13 g/d) were selected to identify the key serum metabolites associated with ADG, and to investigate the relationships of serum metabolome profiles with digestive tract microbiota. The results showed that a total of 125 serum metabolites were significantly different between HADG and LADG. Of these, 43 serum metabolites were significantly higher levels in HADG, including D-ornithine, l-glutamine, L-histidine, carnosine, LysoPC (16:1(9Z)/0:0), DCTP and hydroxylysine, while, 82 serum metabolites were significantly higher levels in LADG, including P-salicylic acid and deoxycholic acid 3-glucuronide. Pathway analysis indicated that these different metabolites were mainly involved in amino acid and lipid metabolism. Furthermore, Spearman's rank correlation analysis revealed that these differential serum metabolites were correlated with ADG and ADG-related bacteria. Notably, serum hydroxylysine and L-histidine could be used as biomarkers for distinguishing HADG and LADG goats, with an accuracy of >92.0%. SIGNIFICANCE: Our study confirms that individual microbiota and metabolic differences contribute to the variations of growth rate in young goats. Some serum metabolites may be useful in improving the growth performance of young goats, which provides directions for developing further nutritional regulation in the goat industry to achieve healthy feeding and efficiency enhancement.
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Affiliation(s)
- Dang Dang Wang
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China; Key Laboratory of Livestock Biology, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Guang Fu Tang
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China; Key Laboratory of Livestock Biology, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Yuan Yuan Li
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China; Key Laboratory of Livestock Biology, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Jun Jian Yu
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China; Key Laboratory of Livestock Biology, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Xin Jian Lei
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China; Key Laboratory of Livestock Biology, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Yang Chun Cao
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China; Key Laboratory of Livestock Biology, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Jun Hu Yao
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China; Key Laboratory of Livestock Biology, Northwest A&F University, Yangling, Shaanxi 712100, China.
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Xiang Q, Xu H, Zhan J, Lu S, Li S, Wang Y, Wang Y, He J, Ni Y, Li L, Liu Y, Liu Y. Reply to Mahat, R.K.; Rathore, V. Comment on "Xiang et al. Association between the Triglyceride-Glucose Index and Vitamin D Status in Type 2 Diabetes Mellitus. Nutrients 2023, 15, 639". Nutrients 2023; 15:4069. [PMID: 37764852 PMCID: PMC10535357 DOI: 10.3390/nu15184069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 09/06/2023] [Accepted: 09/18/2023] [Indexed: 09/29/2023] Open
Abstract
We are pleased to see that Mahat and Rathore [...].
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Affiliation(s)
- Qunyan Xiang
- Department of Geriatrics, The Second Xiangya Hospital of Central South University, Changsha 410011, China; (Q.X.); (H.X.); (J.Z.); (S.L.); (Y.W.); (Y.W.); (J.H.); (Y.N.); (L.L.); (Y.L.)
- Institute of Aging and Age-Related Disease Research, Central South University, Changsha 410011, China
| | - Hui Xu
- Department of Geriatrics, The Second Xiangya Hospital of Central South University, Changsha 410011, China; (Q.X.); (H.X.); (J.Z.); (S.L.); (Y.W.); (Y.W.); (J.H.); (Y.N.); (L.L.); (Y.L.)
- Institute of Aging and Age-Related Disease Research, Central South University, Changsha 410011, China
| | - Junkun Zhan
- Department of Geriatrics, The Second Xiangya Hospital of Central South University, Changsha 410011, China; (Q.X.); (H.X.); (J.Z.); (S.L.); (Y.W.); (Y.W.); (J.H.); (Y.N.); (L.L.); (Y.L.)
- Institute of Aging and Age-Related Disease Research, Central South University, Changsha 410011, China
| | - Shuzhen Lu
- Department of Nursing, Hunan Normal University School of Medicine, Changsha 410013, China;
| | - Shuang Li
- Department of Geriatrics, The Second Xiangya Hospital of Central South University, Changsha 410011, China; (Q.X.); (H.X.); (J.Z.); (S.L.); (Y.W.); (Y.W.); (J.H.); (Y.N.); (L.L.); (Y.L.)
- Institute of Aging and Age-Related Disease Research, Central South University, Changsha 410011, China
| | - Yanjiao Wang
- Department of Geriatrics, The Second Xiangya Hospital of Central South University, Changsha 410011, China; (Q.X.); (H.X.); (J.Z.); (S.L.); (Y.W.); (Y.W.); (J.H.); (Y.N.); (L.L.); (Y.L.)
- Institute of Aging and Age-Related Disease Research, Central South University, Changsha 410011, China
| | - Yi Wang
- Department of Geriatrics, The Second Xiangya Hospital of Central South University, Changsha 410011, China; (Q.X.); (H.X.); (J.Z.); (S.L.); (Y.W.); (Y.W.); (J.H.); (Y.N.); (L.L.); (Y.L.)
- Institute of Aging and Age-Related Disease Research, Central South University, Changsha 410011, China
| | - Jieyu He
- Department of Geriatrics, The Second Xiangya Hospital of Central South University, Changsha 410011, China; (Q.X.); (H.X.); (J.Z.); (S.L.); (Y.W.); (Y.W.); (J.H.); (Y.N.); (L.L.); (Y.L.)
- Institute of Aging and Age-Related Disease Research, Central South University, Changsha 410011, China
| | - Yuqing Ni
- Department of Geriatrics, The Second Xiangya Hospital of Central South University, Changsha 410011, China; (Q.X.); (H.X.); (J.Z.); (S.L.); (Y.W.); (Y.W.); (J.H.); (Y.N.); (L.L.); (Y.L.)
- Institute of Aging and Age-Related Disease Research, Central South University, Changsha 410011, China
| | - Linsen Li
- Department of Geriatrics, The Second Xiangya Hospital of Central South University, Changsha 410011, China; (Q.X.); (H.X.); (J.Z.); (S.L.); (Y.W.); (Y.W.); (J.H.); (Y.N.); (L.L.); (Y.L.)
- Institute of Aging and Age-Related Disease Research, Central South University, Changsha 410011, China
| | - Yiyang Liu
- Department of Geriatrics, The Second Xiangya Hospital of Central South University, Changsha 410011, China; (Q.X.); (H.X.); (J.Z.); (S.L.); (Y.W.); (Y.W.); (J.H.); (Y.N.); (L.L.); (Y.L.)
- Institute of Aging and Age-Related Disease Research, Central South University, Changsha 410011, China
| | - Youshuo Liu
- Department of Geriatrics, The Second Xiangya Hospital of Central South University, Changsha 410011, China; (Q.X.); (H.X.); (J.Z.); (S.L.); (Y.W.); (Y.W.); (J.H.); (Y.N.); (L.L.); (Y.L.)
- Institute of Aging and Age-Related Disease Research, Central South University, Changsha 410011, China
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Cheng S, Xu X, Kong X, Jiang Y, Mo L, Li M, Jin Y, Han Y, Li XL, Jin T, Min JZ. Monitoring of salicylic acid content in human saliva and its relationship with plasma concentrations. J Pharm Biomed Anal 2022; 219:114961. [PMID: 35907319 DOI: 10.1016/j.jpba.2022.114961] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Revised: 07/18/2022] [Accepted: 07/21/2022] [Indexed: 11/25/2022]
Abstract
Aspirin is a widely used anti-inflammatory drug. It is reported that a relationship may exist between salicylic acid content in plasma and saliva after taking aspirin. This study established a rapid, convenient, and safe method to assess salicylic acid concentration in human saliva. A novel HPLC-ultraviolet detector was used to measure salicylic acid concentrations in human saliva and plasma. A C18 reversed-phase column with an aqueous solution of 0.1% trifluoroacetic acid (TFA)-acetonitrile mobile phase was used, and drug peaks were recorded at 303 nm. Salicylic acid was completely separated in saliva and plasma. Excellent linearity and correlation (r2 ≥ 0.9999) was observed between 0.1 and 2.0 μg/mL. The detection limit (S/N = 3) was 33 ng/mL, and intra- and inter-day recoveries were 103.5-113.3% and 101.1-109.5%, respectively. Salicylic acid was measured within nine hours after administration of acetylsalicylic acid tablets. A positive correlation between salicylic acid content in saliva and plasma was found (r = 0.867, p < 0.001). The proposed method was used successfully to measure salicylic acid concentration in human saliva. Meanwhile, we explored the relationship between salicylic acid levels in plasma and saliva. Saliva might replace blood for monitoring aspirin treatment. In addition, the research provides a reference for application to saliva samples.
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Affiliation(s)
- Shengyu Cheng
- Key Laboratory of Natural Medicines of the Changbai Mountain, Ministry of Education, Pharmaceutical Analysis, College of Pharmacy Yanbian University, Yanji 133002, Jilin Province, China
| | - Xianglin Xu
- Key Laboratory of Natural Medicines of the Changbai Mountain, Ministry of Education, Pharmaceutical Analysis, College of Pharmacy Yanbian University, Yanji 133002, Jilin Province, China
| | - Xinxin Kong
- Key Laboratory of Natural Medicines of the Changbai Mountain, Ministry of Education, Pharmaceutical Analysis, College of Pharmacy Yanbian University, Yanji 133002, Jilin Province, China
| | - Yudi Jiang
- Key Laboratory of Natural Medicines of the Changbai Mountain, Ministry of Education, Pharmaceutical Analysis, College of Pharmacy Yanbian University, Yanji 133002, Jilin Province, China
| | - Luxuan Mo
- Key Laboratory of Natural Medicines of the Changbai Mountain, Ministry of Education, Pharmaceutical Analysis, College of Pharmacy Yanbian University, Yanji 133002, Jilin Province, China
| | - Mingxia Li
- Key Laboratory of Natural Medicines of the Changbai Mountain, Ministry of Education, Pharmaceutical Analysis, College of Pharmacy Yanbian University, Yanji 133002, Jilin Province, China
| | - Yueying Jin
- Key Laboratory of Natural Medicines of the Changbai Mountain, Ministry of Education, Pharmaceutical Analysis, College of Pharmacy Yanbian University, Yanji 133002, Jilin Province, China
| | - Yu Han
- Key Laboratory of Natural Medicines of the Changbai Mountain, Ministry of Education, Pharmaceutical Analysis, College of Pharmacy Yanbian University, Yanji 133002, Jilin Province, China
| | - Xi-Ling Li
- Key Laboratory of Natural Medicines of the Changbai Mountain, Ministry of Education, Pharmaceutical Analysis, College of Pharmacy Yanbian University, Yanji 133002, Jilin Province, China
| | - Toufeng Jin
- Department of General Surgery Yanbian University Hospital, Yanji 133002, Jilin Province, China.
| | - Jun Zhe Min
- Key Laboratory of Natural Medicines of the Changbai Mountain, Ministry of Education, Pharmaceutical Analysis, College of Pharmacy Yanbian University, Yanji 133002, Jilin Province, China.
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Bruzzone C, Gil-Redondo R, Seco M, Barragán R, de la Cruz L, Cannet C, Schäfer H, Fang F, Diercks T, Bizkarguenaga M, González-Valle B, Laín A, Sanz-Parra A, Coltell O, de Letona AL, Spraul M, Lu SC, Buguianesi E, Embade N, Anstee QM, Corella D, Mato JM, Millet O. A molecular signature for the metabolic syndrome by urine metabolomics. Cardiovasc Diabetol 2021; 20:155. [PMID: 34320987 PMCID: PMC8320177 DOI: 10.1186/s12933-021-01349-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2021] [Accepted: 07/19/2021] [Indexed: 12/12/2022] Open
Abstract
Background Metabolic syndrome (MetS) is a multimorbid long-term condition without consensual medical definition and a diagnostic based on compatible symptomatology. Here we have investigated the molecular signature of MetS in urine. Methods We used NMR-based metabolomics to investigate a European cohort including urine samples from 11,754 individuals (18–75 years old, 41% females), designed to populate all the intermediate conditions in MetS, from subjects without any risk factor up to individuals with developed MetS (4–5%, depending on the definition). A set of quantified metabolites were integrated from the urine spectra to obtain metabolic models (one for each definition), to discriminate between individuals with MetS. Results MetS progression produces a continuous and monotonic variation of the urine metabolome, characterized by up- or down-regulation of the pertinent metabolites (17 in total, including glucose, lipids, aromatic amino acids, salicyluric acid, maltitol, trimethylamine N-oxide, and p-cresol sulfate) with some of the metabolites associated to MetS for the first time. This metabolic signature, based solely on information extracted from the urine spectrum, adds a molecular dimension to MetS definition and it was used to generate models that can identify subjects with MetS (AUROC values between 0.83 and 0.87). This signature is particularly suitable to add meaning to the conditions that are in the interface between healthy subjects and MetS patients. Aging and non-alcoholic fatty liver disease are also risk factors that may enhance MetS probability, but they do not directly interfere with the metabolic discrimination of the syndrome. Conclusions Urine metabolomics, studied by NMR spectroscopy, unravelled a set of metabolites that concomitantly evolve with MetS progression, that were used to derive and validate a molecular definition of MetS and to discriminate the conditions that are in the interface between healthy individuals and the metabolic syndrome. Supplementary Information The online version contains supplementary material available at 10.1186/s12933-021-01349-9.
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Affiliation(s)
- Chiara Bruzzone
- Precision Medicine and Metabolism Laboratory, CIC bioGUNE, BRTA, CIBERehd, Bizkaia Technology Park, Bld. 800, 48160, Derio, Bizkaia, Spain
| | - Rubén Gil-Redondo
- Precision Medicine and Metabolism Laboratory, CIC bioGUNE, BRTA, CIBERehd, Bizkaia Technology Park, Bld. 800, 48160, Derio, Bizkaia, Spain
| | - Marisa Seco
- OSARTEN Kooperativa Elkartea, 20500, Arrasate-Mondragón, Spain
| | - Rocío Barragán
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010, Valencia, Spain.,CIBER Fisiopatología de la Obesidad y Nutrición, Madrid, Spain
| | - Laura de la Cruz
- Precision Medicine and Metabolism Laboratory, CIC bioGUNE, BRTA, CIBERehd, Bizkaia Technology Park, Bld. 800, 48160, Derio, Bizkaia, Spain
| | - Claire Cannet
- Bruker Biospin GmbH, Silberstreifen, 76287, Rheinstetten, Germany
| | - Hartmut Schäfer
- Bruker Biospin GmbH, Silberstreifen, 76287, Rheinstetten, Germany
| | - Fang Fang
- Bruker Biospin GmbH, Silberstreifen, 76287, Rheinstetten, Germany
| | - Tammo Diercks
- Precision Medicine and Metabolism Laboratory, CIC bioGUNE, BRTA, CIBERehd, Bizkaia Technology Park, Bld. 800, 48160, Derio, Bizkaia, Spain
| | - Maider Bizkarguenaga
- Precision Medicine and Metabolism Laboratory, CIC bioGUNE, BRTA, CIBERehd, Bizkaia Technology Park, Bld. 800, 48160, Derio, Bizkaia, Spain
| | - Beatriz González-Valle
- Precision Medicine and Metabolism Laboratory, CIC bioGUNE, BRTA, CIBERehd, Bizkaia Technology Park, Bld. 800, 48160, Derio, Bizkaia, Spain
| | - Ana Laín
- Precision Medicine and Metabolism Laboratory, CIC bioGUNE, BRTA, CIBERehd, Bizkaia Technology Park, Bld. 800, 48160, Derio, Bizkaia, Spain
| | - Arantza Sanz-Parra
- Precision Medicine and Metabolism Laboratory, CIC bioGUNE, BRTA, CIBERehd, Bizkaia Technology Park, Bld. 800, 48160, Derio, Bizkaia, Spain
| | - Oscar Coltell
- CIBER Fisiopatología de la Obesidad y Nutrición, Madrid, Spain.,Department of Computer Languages and Systems, Universitat Jaume I, 12071, Castellón, Spain
| | | | - Manfred Spraul
- Bruker Biospin GmbH, Silberstreifen, 76287, Rheinstetten, Germany
| | - Shelly C Lu
- Karsh Division of Gastroenterology and Hepatology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | | | - Nieves Embade
- Precision Medicine and Metabolism Laboratory, CIC bioGUNE, BRTA, CIBERehd, Bizkaia Technology Park, Bld. 800, 48160, Derio, Bizkaia, Spain
| | - Quentin M Anstee
- Translational & Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.,Newcastle NIHR Biomedical Research Centre, Newcastle Upon Tyne Hospitals NHS Trust, Newcastle upon Tyne, UK
| | - Dolores Corella
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010, Valencia, Spain.,CIBER Fisiopatología de la Obesidad y Nutrición, Madrid, Spain
| | - José M Mato
- Precision Medicine and Metabolism Laboratory, CIC bioGUNE, BRTA, CIBERehd, Bizkaia Technology Park, Bld. 800, 48160, Derio, Bizkaia, Spain
| | - Oscar Millet
- Precision Medicine and Metabolism Laboratory, CIC bioGUNE, BRTA, CIBERehd, Bizkaia Technology Park, Bld. 800, 48160, Derio, Bizkaia, Spain.
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Michel P, Granica S, Rosińska K, Rojek J, Poraj Ł, Olszewska MA. Biological and chemical insight into Gaultheria procumbens fruits: a rich source of anti-inflammatory and antioxidant salicylate glycosides and procyanidins for food and functional application. Food Funct 2020; 11:7532-7544. [PMID: 32812975 DOI: 10.1039/d0fo01750g] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
The fruits of Gaultheria procumbens are traditionally used for culinary and healing purposes as anti-inflammatory agents. In the present work, the active components of the fruits were identified (UHPLC-PDA-ESI-MS3, preparative HPLC isolation, and NMR structural studies), and their biological capacity was evaluated in vitro in cell-based and non-cellular models. The fruits were revealed to be the richest known dietary source of salicylates (38.5 mg per g fruit dw). They are also rich in procyanidins (28.5 mg per g fruit dw). Among five tested solvents, acetone was the most efficient in concentrating the phenolic matrix (39 identified compounds; 191.3 mg g-1, 121.7 mg g-1, and 50.9 mg g-1 dry extract for total phenolics, salicylates, and procyanidins, respectively). In comparison to positive controls (dexamethasone, indomethacin, and quercetin), the extract (AE) and pure salicylates exhibited strong inhibitory activity towards pro-inflammatory enzymes (cyclooxygenase-2 and hyaluronidase). The analytes were found to be non-cytotoxic (flow cytometry) towards human neutrophils ex vivo. Moreover, they significantly, in a dose-dependent manner, downregulated the release of ROS, TNF-α, IL-1β, and elastase-2 and slightly inhibited the secretion of IL-8 and metalloproteinase-9 in the cells. The observed effects might support the usage of G. procumbens fruits as functional components of an anti-inflammatory diet and indicate the potential of AE for use in adjuvant treatment of inflammatory disorders cross-linked with oxidative stress and associated with the excessive production of TNF-α, IL-1β, and elastase-2.
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Affiliation(s)
- Piotr Michel
- Department of Pharmacognosy, Faculty of Pharmacy, Medical University of Lodz, Muszynskiego 1 St., 90-151 Lodz, Poland.
| | - Sebastian Granica
- Department of Pharmacognosy and Molecular Basis of Phytotherapy, Faculty of Pharmacy, Warsaw Medical University, 1 Banacha St., Warsaw 02-097, Poland
| | - Karolina Rosińska
- Department of Pharmacognosy, Faculty of Pharmacy, Medical University of Lodz, Muszynskiego 1 St., 90-151 Lodz, Poland.
| | - Jarosław Rojek
- Department of Pharmacognosy, Faculty of Pharmacy, Medical University of Lodz, Muszynskiego 1 St., 90-151 Lodz, Poland.
| | - Łukasz Poraj
- Department of Pharmacognosy, Faculty of Pharmacy, Medical University of Lodz, Muszynskiego 1 St., 90-151 Lodz, Poland.
| | - Monika Anna Olszewska
- Department of Pharmacognosy, Faculty of Pharmacy, Medical University of Lodz, Muszynskiego 1 St., 90-151 Lodz, Poland.
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