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Gao T, Li R, Hu L, Hu Q, Wen H, Zhou R, Yuan P, Zhang X, Huang L, Zhuo Y, Xu S, Lin Y, Feng B, Che L, Wu D, Fang Z. Probiotic Lactobacillus rhamnosus GG improves insulin sensitivity and offspring survival via modulation of gut microbiota and serum metabolite in a sow model. J Anim Sci Biotechnol 2024; 15:89. [PMID: 38951898 PMCID: PMC11218078 DOI: 10.1186/s40104-024-01046-z] [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: 02/15/2024] [Accepted: 05/07/2024] [Indexed: 07/03/2024] Open
Abstract
BACKGROUND Sows commonly experience insulin resistance in late gestation and lactation, causing lower feed intake and milk production, which can lead to higher mortality rates in newborn piglets. The probiotic Lactobacillus rhamnosus GG (LGG) is known to improve insulin resistance. However, whether supplementing LGG can improve insulin sensitivity in sows and enhance lactation performance, particularly the early survival of offspring remains unclear. Hence, we explored the effects and mechanisms of supplementing LGG during late gestation and lactation on sow insulin sensitivity, lactation performance, and offspring survival. In total, 20 sows were randomly allocated to an LGG (n = 10) and control group (n = 10). RESULTS In sows, LGG supplementation significantly improved insulin sensitivity during late gestation and lactation, increased feed intake, milk production and colostrum lactose levels in early lactation, and enhanced newborn piglet survival. Moreover, LGG treatment significantly reshaped the gut microbiota in sows, notably increasing microbiota diversity and enriching the relative abundance of insulin sensitivity-associated probiotics such as Lactobacillus, Bifidobacterium, and Bacteroides. Serum metabolite and amino acid profiling in late-gestation sows also revealed decreased branched-chain amino acid and kynurenine serum levels following LGG supplementation. Further analyses highlighted a correlation between mitigated insulin resistance in late pregnancy and lactation by LGG and gut microbiota reshaping and changes in serum amino acid metabolism. Furthermore, maternal LGG enhanced immunity in newborn piglets, reduced inflammation, and facilitated the establishment of a gut microbiota. CONCLUSIONS We provide the first evidence that LGG mitigates insulin resistance in sows and enhances offspring survival by modulating the gut microbiota and amino acid metabolism.
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Affiliation(s)
- Tianle Gao
- Key Laboratory for Animal Disease-Resistance Nutrition of China Ministry of Education, Animal Nutrition Institute, Sichuan Agricultural University, 211 Huimin Road, Wenjiang District, Chengdu, 611130, China
| | - Ran Li
- Key Laboratory for Animal Disease-Resistance Nutrition of China Ministry of Education, Animal Nutrition Institute, Sichuan Agricultural University, 211 Huimin Road, Wenjiang District, Chengdu, 611130, China
- Key Laboratory of Agricultural Product Processing and Nutrition Health (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, College of Food Science, Sichuan Agricultural University, Ya' an, 625014, China
| | - Liang Hu
- Key Laboratory of Agricultural Product Processing and Nutrition Health (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, College of Food Science, Sichuan Agricultural University, Ya' an, 625014, China
| | - Quanfang Hu
- Key Laboratory for Animal Disease-Resistance Nutrition of China Ministry of Education, Animal Nutrition Institute, Sichuan Agricultural University, 211 Huimin Road, Wenjiang District, Chengdu, 611130, China
| | - Hongmei Wen
- Key Laboratory for Animal Disease-Resistance Nutrition of China Ministry of Education, Animal Nutrition Institute, Sichuan Agricultural University, 211 Huimin Road, Wenjiang District, Chengdu, 611130, China
| | - Rui Zhou
- Key Laboratory for Animal Disease-Resistance Nutrition of China Ministry of Education, Animal Nutrition Institute, Sichuan Agricultural University, 211 Huimin Road, Wenjiang District, Chengdu, 611130, China
| | - Peiqiang Yuan
- Key Laboratory for Animal Disease-Resistance Nutrition of China Ministry of Education, Animal Nutrition Institute, Sichuan Agricultural University, 211 Huimin Road, Wenjiang District, Chengdu, 611130, China
| | - Xiaoling Zhang
- Key Laboratory for Animal Disease-Resistance Nutrition of China Ministry of Education, Animal Nutrition Institute, Sichuan Agricultural University, 211 Huimin Road, Wenjiang District, Chengdu, 611130, China
| | - Lingjie Huang
- Key Laboratory for Animal Disease-Resistance Nutrition of China Ministry of Education, Animal Nutrition Institute, Sichuan Agricultural University, 211 Huimin Road, Wenjiang District, Chengdu, 611130, China
| | - Yong Zhuo
- Key Laboratory for Animal Disease-Resistance Nutrition of China Ministry of Education, Animal Nutrition Institute, Sichuan Agricultural University, 211 Huimin Road, Wenjiang District, Chengdu, 611130, China
| | - Shengyu Xu
- Key Laboratory for Animal Disease-Resistance Nutrition of China Ministry of Education, Animal Nutrition Institute, Sichuan Agricultural University, 211 Huimin Road, Wenjiang District, Chengdu, 611130, China
| | - Yan Lin
- Key Laboratory for Animal Disease-Resistance Nutrition of China Ministry of Education, Animal Nutrition Institute, Sichuan Agricultural University, 211 Huimin Road, Wenjiang District, Chengdu, 611130, China
| | - Bin Feng
- Key Laboratory for Animal Disease-Resistance Nutrition of China Ministry of Education, Animal Nutrition Institute, Sichuan Agricultural University, 211 Huimin Road, Wenjiang District, Chengdu, 611130, China
| | - Lianqiang Che
- Key Laboratory for Animal Disease-Resistance Nutrition of China Ministry of Education, Animal Nutrition Institute, Sichuan Agricultural University, 211 Huimin Road, Wenjiang District, Chengdu, 611130, China
| | - De Wu
- Key Laboratory for Animal Disease-Resistance Nutrition of China Ministry of Education, Animal Nutrition Institute, Sichuan Agricultural University, 211 Huimin Road, Wenjiang District, Chengdu, 611130, China
| | - Zhengfeng Fang
- Key Laboratory for Animal Disease-Resistance Nutrition of China Ministry of Education, Animal Nutrition Institute, Sichuan Agricultural University, 211 Huimin Road, Wenjiang District, Chengdu, 611130, China.
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Ballanti M, Antonetti L, Mavilio M, Casagrande V, Moscatelli A, Pietrucci D, Teofani A, Internò C, Cardellini M, Paoluzi O, Monteleone G, Lefebvre P, Staels B, Mingrone G, Menghini R, Federici M. Decreased circulating IPA levels identify subjects with metabolic comorbidities: A multi-omics study. Pharmacol Res 2024; 204:107207. [PMID: 38734193 DOI: 10.1016/j.phrs.2024.107207] [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: 03/13/2024] [Revised: 05/05/2024] [Accepted: 05/05/2024] [Indexed: 05/13/2024]
Abstract
In recent years several experimental observations demonstrated that the gut microbiome plays a role in regulating positively or negatively metabolic homeostasis. Indole-3-propionic acid (IPA), a Tryptophan catabolic product mainly produced by C. Sporogenes, has been recently shown to exert either favorable or unfavorable effects in the context of metabolic and cardiovascular diseases. We performed a study to delineate clinical and multiomics characteristics of human subjects characterized by low and high IPA levels. Subjects with low IPA blood levels showed insulin resistance, overweight, low-grade inflammation, and features of metabolic syndrome compared to those with high IPA. Metabolomics analysis revealed that IPA was negatively correlated with leucine, isoleucine, and valine metabolism. Transcriptomics analysis in colon tissue revealed the enrichment of several signaling, regulatory, and metabolic processes. Metagenomics revealed several OTU of ruminococcus, alistipes, blautia, butyrivibrio and akkermansia were significantly enriched in highIPA group while in lowIPA group Escherichia-Shigella, megasphera, and Desulfovibrio genus were more abundant. Next, we tested the hypothesis that treatment with IPA in a mouse model may recapitulate the observations of human subjects, at least in part. We found that a short treatment with IPA (4 days at 20/mg/kg) improved glucose tolerance and Akt phosphorylation in the skeletal muscle level, while regulating blood BCAA levels and gene expression in colon tissue, all consistent with results observed in human subjects stratified for IPA levels. Our results suggest that treatment with IPA may be considered a potential strategy to improve insulin resistance in subjects with dysbiosis.
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Affiliation(s)
- Marta Ballanti
- Center for Atherosclerosis and Internal Medicine Unit, Policlinico Tor Vergata University Hospital, Via Oxford 81, Rome 00133, Italy; Department of Systems Medicine, University of Rome Tor Vergata, Rome 00133, Italy
| | - Lorenzo Antonetti
- Department of Systems Medicine, University of Rome Tor Vergata, Rome 00133, Italy
| | - Maria Mavilio
- Department of Systems Medicine, University of Rome Tor Vergata, Rome 00133, Italy
| | - Viviana Casagrande
- Department of Systems Medicine, University of Rome Tor Vergata, Rome 00133, Italy
| | - Alessandro Moscatelli
- Department of Systems Medicine, University of Rome Tor Vergata, Rome 00133, Italy; Laboratory of Neuromotor Physiology, Santa Lucia Foundation IRCCS, Rome, 00179, Italy
| | - Daniele Pietrucci
- Department for Innovation in Biological, Agro-Food and Forest Systems (DIBAF), University of Tuscia, 01100 Viterbo, Italy
| | - Adelaide Teofani
- Department of Biology, University of Rome Tor Vergata, 00133 Rome, Italy
| | - Chiara Internò
- Department of Systems Medicine, University of Rome Tor Vergata, Rome 00133, Italy
| | - Marina Cardellini
- Center for Atherosclerosis and Internal Medicine Unit, Policlinico Tor Vergata University Hospital, Via Oxford 81, Rome 00133, Italy; Department of Systems Medicine, University of Rome Tor Vergata, Rome 00133, Italy
| | - Omero Paoluzi
- Unit of Gastroenterology, Policlinico Tor Vergata University Hospital, Via Oxford 81, 00133 Rome, Italy
| | - Giovanni Monteleone
- Department of Systems Medicine, University of Rome Tor Vergata, Rome 00133, Italy; Unit of Gastroenterology, Policlinico Tor Vergata University Hospital, Via Oxford 81, 00133 Rome, Italy
| | - Philippe Lefebvre
- University of Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1011 EGID, Lille France
| | - Bart Staels
- University of Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1011 EGID, Lille France
| | - Geltrude Mingrone
- Department of Internal Medicine, Catholic University, 00168 Rome, Italy; Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy; Diabetes and Nutritional Sciences, Hodgkin Building, Guy's Campus, King's College London, London WC2R 2LS, UK
| | - Rossella Menghini
- Department of Systems Medicine, University of Rome Tor Vergata, Rome 00133, Italy
| | - Massimo Federici
- Center for Atherosclerosis and Internal Medicine Unit, Policlinico Tor Vergata University Hospital, Via Oxford 81, Rome 00133, Italy; Department of Systems Medicine, University of Rome Tor Vergata, Rome 00133, Italy.
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Niu Y, Hu X, Song Y, Wang C, Luo P, Ni S, Jiao F, Qiu J, Jiang W, Yang S, Chen J, Huang R, Jiang H, Chen S, Zhai Q, Xiao J, Guo F. Blautia Coccoides is a Newly Identified Bacterium Increased by Leucine Deprivation and has a Novel Function in Improving Metabolic Disorders. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2309255. [PMID: 38429906 PMCID: PMC11095201 DOI: 10.1002/advs.202309255] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Revised: 01/14/2024] [Indexed: 03/03/2024]
Abstract
Gut microbiota is linked to human metabolic diseases. The previous work showed that leucine deprivation improved metabolic dysfunction, but whether leucine deprivation alters certain specific species of bacterium that brings these benefits remains unclear. Here, this work finds that leucine deprivation alters gut microbiota composition, which is sufficient and necessary for the metabolic improvements induced by leucine deprivation. Among all the affected bacteria, B. coccoides is markedly increased in the feces of leucine-deprived mice. Moreover, gavage with B. coccoides improves insulin sensitivity and reduces body fat in high-fat diet (HFD) mice, and singly colonization of B. coccoides increases insulin sensitivity in gnotobiotic mice. The effects of B. coccoides are mediated by metabolizing tryptophan into indole-3-acetic acid (I3AA) that activates the aryl hydrocarbon receptor (AhR) in the liver. Finally, this work reveals that reduced fecal B. coccoides and I3AA levels are associated with the clinical metabolic syndrome. These findings suggest that B. coccoides is a newly identified bacterium increased by leucine deprivation, which improves metabolic disorders via metabolizing tryptophan into I3AA.
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Affiliation(s)
- Yuguo Niu
- Zhongshan HospitalState Key Laboratory of Medical NeurobiologyInstitute for Translational Brain ResearchMOE Frontiers Center for Brain ScienceFudan UniversityShanghai200032China
| | - Xiaoming Hu
- Zhongshan HospitalState Key Laboratory of Medical NeurobiologyInstitute for Translational Brain ResearchMOE Frontiers Center for Brain ScienceFudan UniversityShanghai200032China
| | - Yali Song
- Department of Metabolic and Bariatric Surgery and Clinical Research InstituteFirst Affiliated Hospital of Jinan UniversityGuangzhou510632China
| | - Cunchuan Wang
- Department of Metabolic and Bariatric Surgery and Clinical Research InstituteFirst Affiliated Hospital of Jinan UniversityGuangzhou510632China
| | - Peixiang Luo
- CAS Key Laboratory of NutritionMetabolism and Food SafetyInnovation Center for Intervention of Chronic Disease and Promotion of HealthShanghai Institute of Nutrition and HealthUniversity of Chinese Academy of SciencesChinese Academy of SciencesShanghai200031China
| | - Shihong Ni
- Zhongshan HospitalState Key Laboratory of Medical NeurobiologyInstitute for Translational Brain ResearchMOE Frontiers Center for Brain ScienceFudan UniversityShanghai200032China
| | - Fuxin Jiao
- CAS Key Laboratory of NutritionMetabolism and Food SafetyInnovation Center for Intervention of Chronic Disease and Promotion of HealthShanghai Institute of Nutrition and HealthUniversity of Chinese Academy of SciencesChinese Academy of SciencesShanghai200031China
| | - Ju Qiu
- CAS Key Laboratory of NutritionMetabolism and Food SafetyInnovation Center for Intervention of Chronic Disease and Promotion of HealthShanghai Institute of Nutrition and HealthUniversity of Chinese Academy of SciencesChinese Academy of SciencesShanghai200031China
| | - Weihong Jiang
- Key Laboratory of Synthetic BiologyInstitute of Plant Physiology and EcologyCAS Center for Excellence in Molecular Plant ScienceShanghai200032China
| | - Sheng Yang
- Key Laboratory of Synthetic BiologyInstitute of Plant Physiology and EcologyCAS Center for Excellence in Molecular Plant ScienceShanghai200032China
| | - Jun Chen
- Key Laboratory of Synthetic BiologyInstitute of Plant Physiology and EcologyCAS Center for Excellence in Molecular Plant ScienceShanghai200032China
| | - Rui Huang
- CAS Key Laboratory of NutritionMetabolism and Food SafetyInnovation Center for Intervention of Chronic Disease and Promotion of HealthShanghai Institute of Nutrition and HealthUniversity of Chinese Academy of SciencesChinese Academy of SciencesShanghai200031China
| | - Haizhou Jiang
- Zhongshan HospitalState Key Laboratory of Medical NeurobiologyInstitute for Translational Brain ResearchMOE Frontiers Center for Brain ScienceFudan UniversityShanghai200032China
| | - Shanghai Chen
- Zhongshan HospitalState Key Laboratory of Medical NeurobiologyInstitute for Translational Brain ResearchMOE Frontiers Center for Brain ScienceFudan UniversityShanghai200032China
| | - Qiwei Zhai
- CAS Key Laboratory of NutritionMetabolism and Food SafetyInnovation Center for Intervention of Chronic Disease and Promotion of HealthShanghai Institute of Nutrition and HealthUniversity of Chinese Academy of SciencesChinese Academy of SciencesShanghai200031China
| | - Jia Xiao
- Department of Metabolic and Bariatric Surgery and Clinical Research InstituteFirst Affiliated Hospital of Jinan UniversityGuangzhou510632China
| | - Feifan Guo
- Zhongshan HospitalState Key Laboratory of Medical NeurobiologyInstitute for Translational Brain ResearchMOE Frontiers Center for Brain ScienceFudan UniversityShanghai200032China
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Genetic and Pharmacological Inhibition of GCN2 Ameliorates Hyperglycemia and Insulin Resistance in Type 2 Diabetic Mice. Antioxidants (Basel) 2022; 11:antiox11081584. [PMID: 36009303 PMCID: PMC9404927 DOI: 10.3390/antiox11081584] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Revised: 08/10/2022] [Accepted: 08/15/2022] [Indexed: 01/13/2023] Open
Abstract
It is well recognized that there is a strong and complex association between nonalcoholic fatty liver disease (NAFLD) and type 2 diabetes (T2D). We previously demonstrated that genetic knockout or pharmacological inhibition of general control nondepressible kinase 2 (GCN2), a well-known amino acid sensor, alleviated hepatic steatosis and insulin resistance in obese mice. However, whether GCN2 affects the development of T2D remains unclear. After a high-fat diet (HFD) plus low-dose streptozotocin (STZ) treatments, Gcn2−/− mice developed less hyperglycemia, insulin resistance, hepatic steatosis, and oxidative stress than wild-type (WT) mice. Inhibition of GCN2 by intraperitoneal injection of 3 mg/kg GCN2iB (a specific inhibitor of GCN2) every other day for 6 weeks also ameliorated hyperglycemia, insulin resistance, hepatic steatosis, and oxidative stress in HFD/STZ- and leptin receptor deletion (db/db)-induced T2D mice. Moreover, depletion of hepatic GCN2 in db/db mice by tail vein injection of an AAV8-shGcn2 vector resulted in similar improvement in those metabolic disorders. The protective mechanism of GCN2 inhibition in T2D mice was associated with regulation of the glucose metabolic pathway, repression of lipogenesis genes, and activation of the Nrf2 pathway. Together, our data provide evidence that strategies to inhibit hepatic GCN2 activity may be novel approaches for T2D therapy.
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Yan S, Chen J, Zhu L, Guo T, Qin D, Hu Z, Han S, Zhou Y, Akan OD, Wang J, Luo F, Lin Q. Oryzanol Attenuates High Fat and Cholesterol Diet-Induced Hyperlipidemia by Regulating the Gut Microbiome and Amino Acid Metabolism. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2022; 70:6429-6443. [PMID: 35587527 DOI: 10.1021/acs.jafc.2c00885] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Hyperlipidemia is intricately associated with the dysregulation of gut microbiota and host metabolomes. This study explored the antihyperlipidemic function of oryzanol and investigated whether the function of oryzanol affected the gut microbiome and its related metabolites. Hamsters were fed a standard diet (Control) and a high fat and cholesterol (HFCD) diet with or without oryzanol, separately. Our results showed that oryzanol significantly decreased HFCD-induced fat accumulation, serum total cholesterol, low-density lipoprotein cholesterol (LDL-c), LDL-c/HDL-c ratio, triglyceride, and liver steatohepatitis, attenuated HFCD-induced gut microbiota alterations, and altered amino acid concentrations in feces and the liver. We investigated the role of the gut microbiota in the observed beneficial effects; the protective effects of oryzanol were partly diminished by suppressing the gut bacteria of hamsters after using antibiotics. A fecal microbiota transplantation experiment was carried out by transplanting the feces from HFCD group hamsters or hamsters given oryzanol supplementation (as a donor hamster). Our results showed that administering the fecal liquid from oryzanol-treated hamsters attenuated HFCD-induced hyperlipidemia, significantly decreased the abundance of norank_f__Erysipelotrichaceae, norank_f__Eubacteriaceae, and norank_f__Oscillospiraceae and the concentration of tyrosine. These outcomes are significantly positively correlated with serum lipid concentration. This study illustrated that gut microbiota is the target of oryzanol in the antihyperlipidemic effect.
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Affiliation(s)
- Sisi Yan
- National Engineering Laboratory for Deep Process of Rice and Byproducts, College of Food Science and Engineering, Central South University of Forestry and Technology, Changsha 410004, China
- Hunan Engineering Research Center of Livestock and Poultry Health Care, Colleges of Veterinary Medicine, Hunan Agricultural University, Changsha 410128, China
| | - Jihong Chen
- National Engineering Laboratory for Deep Process of Rice and Byproducts, College of Food Science and Engineering, Central South University of Forestry and Technology, Changsha 410004, China
| | - Lingfeng Zhu
- National Engineering Laboratory for Deep Process of Rice and Byproducts, College of Food Science and Engineering, Central South University of Forestry and Technology, Changsha 410004, China
| | - Tianyi Guo
- National Engineering Laboratory for Deep Process of Rice and Byproducts, College of Food Science and Engineering, Central South University of Forestry and Technology, Changsha 410004, China
| | - Dandan Qin
- National Engineering Laboratory for Deep Process of Rice and Byproducts, College of Food Science and Engineering, Central South University of Forestry and Technology, Changsha 410004, China
| | - Zuomin Hu
- National Engineering Laboratory for Deep Process of Rice and Byproducts, College of Food Science and Engineering, Central South University of Forestry and Technology, Changsha 410004, China
| | - Shuai Han
- National Engineering Laboratory for Deep Process of Rice and Byproducts, College of Food Science and Engineering, Central South University of Forestry and Technology, Changsha 410004, China
| | - Yaping Zhou
- National Engineering Laboratory for Deep Process of Rice and Byproducts, College of Food Science and Engineering, Central South University of Forestry and Technology, Changsha 410004, China
| | - Otobang Donald Akan
- National Engineering Laboratory for Deep Process of Rice and Byproducts, College of Food Science and Engineering, Central South University of Forestry and Technology, Changsha 410004, China
| | - Ji Wang
- Hunan Engineering Research Center of Livestock and Poultry Health Care, Colleges of Veterinary Medicine, Hunan Agricultural University, Changsha 410128, China
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