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Florkowski M, Abiona E, Frank KM, Brichacek AL. Obesity-associated inflammation countered by a Mediterranean diet: the role of gut-derived metabolites. Front Nutr 2024; 11:1392666. [PMID: 38978699 PMCID: PMC11229823 DOI: 10.3389/fnut.2024.1392666] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Accepted: 06/03/2024] [Indexed: 07/10/2024] Open
Abstract
The prevalence of obesity has increased dramatically worldwide and has become a critical public health priority. Obesity is associated with many co-morbid conditions, including hypertension, diabetes, and cardiovascular disease. Although the physiology of obesity is complex, a healthy diet and sufficient exercise are two elements known to be critical to combating this condition. Years of research on the Mediterranean diet, which is high in fresh fruits and vegetables, nuts, fish, and olive oil, have demonstrated a reduction in numerous non-communicable chronic diseases associated with this diet. There is strong evidence to support an anti-inflammatory effect of the diet, and inflammation is a key driver of obesity. Changes in diet alter the gut microbiota which are intricately intertwined with human physiology, as gut microbiota-derived metabolites play a key role in biological pathways throughout the body. This review will summarize recent published studies that examine the potential role of gut metabolites, including short-chain fatty acids, bile acids, trimethylamine-N-oxide, and lipopolysaccharide, in modulating inflammation after consumption of a Mediterranean-like diet. These metabolites modulate pathways of inflammation through the NOD-like receptor family pyrin domain-containing 3 (NLRP3) inflammasome, toll-like receptor 4 signaling, and macrophage driven effects in adipocytes, among other mechanisms.
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Affiliation(s)
- Melanie Florkowski
- Department of Laboratory Medicine, National Institutes of Health Clinical Center, Bethesda, MD, United States
| | - Esther Abiona
- Department of Laboratory Medicine, National Institutes of Health Clinical Center, Bethesda, MD, United States
| | - Karen M Frank
- Department of Laboratory Medicine, National Institutes of Health Clinical Center, Bethesda, MD, United States
| | - Allison L Brichacek
- Department of Laboratory Medicine, National Institutes of Health Clinical Center, Bethesda, MD, United States
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Kwao-Zigah G, Bediako-Bowan A, Boateng PA, Aryee GK, Abbang SM, Atampugbire G, Quaye O, Tagoe EA. Microbiome Dysbiosis, Dietary Intake and Lifestyle-Associated Factors Involve in Epigenetic Modulations in Colorectal Cancer: A Narrative Review. Cancer Control 2024; 31:10732748241263650. [PMID: 38889965 PMCID: PMC11186396 DOI: 10.1177/10732748241263650] [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: 11/02/2023] [Revised: 05/18/2024] [Accepted: 06/04/2024] [Indexed: 06/20/2024] Open
Abstract
Background: Colorectal cancer is the second cause of cancer mortality and the third most commonly diagnosed cancer worldwide. Current data available implicate epigenetic modulations in colorectal cancer development. The health of the large bowel is impacted by gut microbiome dysbiosis, which may lead to colon and rectum cancers. The release of microbial metabolites and toxins by these microbiotas has been shown to activate epigenetic processes leading to colorectal cancer development. Increased consumption of a 'Westernized diet' and certain lifestyle factors such as excessive consumption of alcohol have been associated with colorectal cancer.Purpose: In this review, we seek to examine current knowledge on the involvement of gut microbiota, dietary factors, and alcohol consumption in colorectal cancer development through epigenetic modulations.Methods: A review of several published articles focusing on the mechanism of how changes in the gut microbiome, diet, and excessive alcohol consumption contribute to colorectal cancer development and the potential of using these factors as biomarkers for colorectal cancer diagnosis.Conclusions: This review presents scientific findings that provide a hopeful future for manipulating gut microbiome, diet, and alcohol consumption in colorectal cancer patients' management and care.
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Affiliation(s)
- Genevieve Kwao-Zigah
- Department of Biochemistry, Cell and Molecular Biology/West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), University of Ghana, Accra, Ghana
| | - Antionette Bediako-Bowan
- Department of Surgery, University of Ghana Medical School, Accra, Ghana
- Department of Surgery, Korle Bu Teaching Hospital, Accra, Ghana
| | - Pius Agyenim Boateng
- Department of Biochemistry, Cell and Molecular Biology/West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), University of Ghana, Accra, Ghana
| | - Gloria Kezia Aryee
- Department of Medical Laboratory Sciences, University of Ghana, Accra, Ghana
| | - Stacy Magdalene Abbang
- Department of Biochemistry, Cell and Molecular Biology/West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), University of Ghana, Accra, Ghana
| | - Gabriel Atampugbire
- Department of Biochemistry, Cell and Molecular Biology/West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), University of Ghana, Accra, Ghana
| | - Osbourne Quaye
- Department of Biochemistry, Cell and Molecular Biology/West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), University of Ghana, Accra, Ghana
| | - Emmanuel A. Tagoe
- Department of Medical Laboratory Sciences, University of Ghana, Accra, Ghana
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O'Connor LE, Hall KD, Herrick KA, Reedy J, Chung ST, Stagliano M, Courville AB, Sinha R, Freedman ND, Hong HG, Albert PS, Loftfield E. Metabolomic Profiling of an Ultraprocessed Dietary Pattern in a Domiciled Randomized Controlled Crossover Feeding Trial. J Nutr 2023; 153:2181-2192. [PMID: 37276937 PMCID: PMC10447619 DOI: 10.1016/j.tjnut.2023.06.003] [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: 02/24/2023] [Revised: 05/30/2023] [Accepted: 06/02/2023] [Indexed: 06/07/2023] Open
Abstract
BACKGROUND Objective markers of ultraprocessed foods (UPF) may improve the assessment of UPF intake and provide insight into how UPF influences health. OBJECTIVES To identify metabolites that differed between dietary patterns (DPs) high in or void of UPF according to Nova classification. METHODS In a randomized, crossover, controlled-feeding trial (clinicaltrials.govNCT03407053), 20 domiciled healthy participants (mean ± standard deviation: age 31 ± 7 y, body mass index [kg/m2] 22 ± 11.6) consumed ad libitum a UPF-DP (80% UPF) and an unprocessed DP (UN-DP; 0% UPF) for 2 wk each. Metabolites were measured using liquid chromatography with tandem mass spectrometry in ethylenediaminetetraacetic acid plasma, collected at week 2 and 24-h, and spot urine, collected at weeks 1 and 2, of each DP. Linear mixed models, adjusted for energy intake, were used to identify metabolites that differed between DPs. RESULTS After multiple comparisons correction, 257 out of 993 plasma and 606 out of 1279 24-h urine metabolites differed between UPF-DP and UN-DP. Overall, 21 known and 9 unknown metabolites differed between DPs across all time points and biospecimen types. Six metabolites were higher (4-hydroxy-L-glutamic acid, N-acetylaminooctanoic acid, 2-methoxyhydroquinone sulfate, 4-ethylphenylsulfate, 4-vinylphenol sulfate, and acesulfame) and 14 were lower following the UPF-DP; pimelic acid, was lower in plasma but higher in urine following the UPF-DP. CONCLUSIONS Consuming a DP high in, compared with 1 void of, UPF has a measurable impact on the short-term human metabolome. Observed differential metabolites could serve as candidate biomarkers of UPF intake or metabolic response in larger samples with varying UPF-DPs. This trial was registered at clinicaltrials.gov as NCT03407053 and NCT03878108.
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Affiliation(s)
- Lauren E O'Connor
- Food Components and Health Laboratory, Beltsville Human Nutrition Research Center, Agricultural Research Service, USDA, Beltsville, MD, USA; Division of Cancer Control and Population Sciences, Risk Factor Assessment Branch, NCI, Bethesda, MD, USA
| | - Kevin D Hall
- Laboratory of Biological Modeling, NIDDK, Bethesda, MD, USA
| | - Kirsten A Herrick
- Division of Cancer Control and Population Sciences, Risk Factor Assessment Branch, NCI, Bethesda, MD, USA
| | - Jill Reedy
- Division of Cancer Control and Population Sciences, Risk Factor Assessment Branch, NCI, Bethesda, MD, USA
| | - Stephanie T Chung
- Diabetes, Endocrinology, and Obesity Branch, NIDDK, Bethesda, MD, USA
| | - Michael Stagliano
- Diabetes, Endocrinology, and Obesity Branch, NIDDK, Bethesda, MD, USA
| | - Amber B Courville
- Diabetes, Endocrinology, and Obesity Branch, NIDDK, Bethesda, MD, USA
| | - Rashmi Sinha
- Division of Cancer Epidemiology and Genetics, Metabolic Epidemiology Branch, NCI, Bethesda, MD, USA
| | - Neal D Freedman
- Division of Cancer Epidemiology and Genetics, Metabolic Epidemiology Branch, NCI, Bethesda, MD, USA
| | - Hyokyoung G Hong
- Division of Cancer Epidemiology and Genetics, Biostatistics Branch, NCI, Bethesda, MD, USA
| | - Paul S Albert
- Division of Cancer Epidemiology and Genetics, Biostatistics Branch, NCI, Bethesda, MD, USA
| | - Erikka Loftfield
- Division of Cancer Epidemiology and Genetics, Metabolic Epidemiology Branch, NCI, Bethesda, MD, USA.
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Sun K, Loria V, Aparicio A, Porras C, Vanegas JC, Zúñiga M, Morera M, Avila C, Abdelnour A, Gail MH, Pfeiffer R, Cohen JI, Burbelo PD, Abed MA, Viboud C, Hildesheim A, Herrero R, Prevots DR. Behavioral factors and SARS-CoV-2 transmission heterogeneity within a household cohort in Costa Rica. COMMUNICATIONS MEDICINE 2023; 3:102. [PMID: 37481623 PMCID: PMC10363136 DOI: 10.1038/s43856-023-00325-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Accepted: 06/21/2023] [Indexed: 07/24/2023] Open
Abstract
INTRODUCTION Variability in household secondary attack rates and transmission risks factors of SARS-CoV-2 remain poorly understood. METHODS We conducted a household transmission study of SARS-CoV-2 in Costa Rica, with SARS-CoV-2 index cases selected from a larger prospective cohort study and their household contacts were enrolled. A total of 719 household contacts of 304 household index cases were enrolled from November 21, 2020, through July 31, 2021. Blood specimens were collected from contacts within 30-60 days of index case diagnosis; and serum was tested for presence of spike and nucleocapsid SARS-CoV-2 IgG antibodies. Evidence of SARS-CoV-2 prior infections among household contacts was defined based on the presence of both spike and nucleocapsid antibodies. We fitted a chain binomial model to the serologic data, to account for exogenous community infection risk and potential multi-generational transmissions within the household. RESULTS Overall seroprevalence was 53% (95% confidence interval (CI) 48-58%) among household contacts. The estimated household secondary attack rate is 34% (95% CI 5-75%). Mask wearing by the index case is associated with the household transmission risk reduction by 67% (adjusted odds ratio = 0.33 with 95% CI: 0.09-0.75) and not sharing bedroom with the index case is associated with the risk reduction of household transmission by 78% (adjusted odds ratio = 0.22 with 95% CI 0.10-0.41). The estimated distribution of household secondary attack rates is highly heterogeneous across index cases, with 30% of index cases being the source for 80% of secondary cases. CONCLUSIONS Modeling analysis suggests that behavioral factors are important drivers of the observed SARS-CoV-2 transmission heterogeneity within the household.
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Affiliation(s)
- Kaiyuan Sun
- Division of International Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health (NIH), Bethesda, MD, USA.
| | - Viviana Loria
- Agencia Costarricense de Investigaciones Biomédicas (ACIB) - Fundación INCIENSA (FUNIN), San José, Costa Rica
| | - Amada Aparicio
- Caja Costarricense de Seguro Social, San José, Costa Rica
| | - Carolina Porras
- Agencia Costarricense de Investigaciones Biomédicas (ACIB) - Fundación INCIENSA (FUNIN), San José, Costa Rica
| | - Juan Carlos Vanegas
- Agencia Costarricense de Investigaciones Biomédicas (ACIB) - Fundación INCIENSA (FUNIN), San José, Costa Rica
| | - Michael Zúñiga
- Agencia Costarricense de Investigaciones Biomédicas (ACIB) - Fundación INCIENSA (FUNIN), San José, Costa Rica
| | - Melvin Morera
- Caja Costarricense de Seguro Social, San José, Costa Rica
| | - Carlos Avila
- Agencia Costarricense de Investigaciones Biomédicas (ACIB) - Fundación INCIENSA (FUNIN), San José, Costa Rica
| | | | - Mitchell H Gail
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Ruth Pfeiffer
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Jeffrey I Cohen
- Laboratory of Infectious Diseases, National Institute of Allergy and Infectious Diseases (NIAID), NIH, Bethesda, MD, USA
| | - Peter D Burbelo
- National Institute of Dental and Craniofacial Research, NIH, Bethesda, MD, USA
| | - Mehdi A Abed
- National Institute of Dental and Craniofacial Research, NIH, Bethesda, MD, USA
| | - Cécile Viboud
- Division of International Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health (NIH), Bethesda, MD, USA
| | - Allan Hildesheim
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Rolando Herrero
- Agencia Costarricense de Investigaciones Biomédicas (ACIB) - Fundación INCIENSA (FUNIN), San José, Costa Rica
| | - D Rebecca Prevots
- Epidemiology and Population Studies Unit, Laboratory of Clinical Immunology and Microbiology, Division of Intramural Research, NIAID, NIH, Bethesda, MD, USA.
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Neveu V, Nicolas G, Amara A, Salek RM, Scalbert A. The human microbial exposome: expanding the Exposome-Explorer database with gut microbial metabolites. Sci Rep 2023; 13:1946. [PMID: 36732606 PMCID: PMC9894932 DOI: 10.1038/s41598-022-26366-w] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Accepted: 12/13/2022] [Indexed: 02/04/2023] Open
Abstract
Metabolites produced by the gut microbiota play an important role in the cross-talk with the human host. Many microbial metabolites are biologically active and can pass the gut barrier and make it into the systemic circulation, where they form the gut microbial exposome, i.e. the totality of gut microbial metabolites in body fluids or tissues of the host. A major difficulty faced when studying the microbial exposome and its role in health and diseases is to differentiate metabolites solely or partially derived from microbial metabolism from those produced by the host or coming from the diet. Our objective was to collect data from the scientific literature and build a database on gut microbial metabolites and on evidence of their microbial origin. Three types of evidence on the microbial origin of the gut microbial exposome were defined: (1) metabolites are produced in vitro by human faecal bacteria; (2) metabolites show reduced concentrations in humans or experimental animals upon treatment with antibiotics; (3) metabolites show reduced concentrations in germ-free animals when compared with conventional animals. Data was manually collected from peer-reviewed publications and inserted in the Exposome-Explorer database. Furthermore, to explore the chemical space of the microbial exposome and predict metabolites uniquely formed by the microbiota, genome-scale metabolic models (GSMMs) of gut bacterial strains and humans were compared. A total of 1848 records on one or more types of evidence on the gut microbial origin of 457 metabolites was collected in Exposome-Explorer. Data on their known precursors and concentrations in human blood, urine and faeces was also collected. About 66% of the predicted gut microbial metabolites (n = 1543) were found to be unique microbial metabolites not found in the human GSMM, neither in the list of 457 metabolites curated in Exposome-Explorer, and can be targets for new experimental studies. This new data on the gut microbial exposome, freely available in Exposome-Explorer ( http://exposome-explorer.iarc.fr/ ), will help researchers to identify poorly studied microbial metabolites to be considered in future studies on the gut microbiota, and study their functionalities and role in health and diseases.
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Affiliation(s)
- Vanessa Neveu
- Nutrition and Metabolism Branch, International Agency for Research on Cancer (IARC), 25 avenue Tony Garnier, CS 90627, 69366, Lyon Cedex 07, France
| | - Geneviève Nicolas
- Nutrition and Metabolism Branch, International Agency for Research on Cancer (IARC), 25 avenue Tony Garnier, CS 90627, 69366, Lyon Cedex 07, France
| | - Adam Amara
- Nutrition and Metabolism Branch, International Agency for Research on Cancer (IARC), 25 avenue Tony Garnier, CS 90627, 69366, Lyon Cedex 07, France
| | - Reza M Salek
- Nutrition and Metabolism Branch, International Agency for Research on Cancer (IARC), 25 avenue Tony Garnier, CS 90627, 69366, Lyon Cedex 07, France
| | - Augustin Scalbert
- Nutrition and Metabolism Branch, International Agency for Research on Cancer (IARC), 25 avenue Tony Garnier, CS 90627, 69366, Lyon Cedex 07, France.
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Byrd DA, Gomez M, Hogue S, Murphy G, Sampson JN, Vogtmann E, Albert P, Freedman ND, Sinha R, Loftfield E. Circulating Bile Acids and Adenoma Recurrence in the Context of Adherence to a High-Fiber, High-Fruit and Vegetable, and Low-Fat Dietary Intervention. Clin Transl Gastroenterol 2022; 13:e00533. [PMID: 36113023 PMCID: PMC9624497 DOI: 10.14309/ctg.0000000000000533] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Accepted: 08/30/2022] [Indexed: 08/15/2023] Open
Abstract
INTRODUCTION Diet may affect bile acid (BA) metabolism and signaling. In turn, BA concentrations may be associated with cancer risk. We investigated (i) associations of BA concentrations with adenoma recurrence and (ii) the effect of a high-fiber, high-fruit and vegetable, and low-fat dietary intervention on serum BA concentrations. METHODS The Polyp Prevention Trial is a 4-year randomized, controlled trial that investigated the effect of a high-fiber, high-fruit and vegetable, and low-fat diet on colorectal adenoma recurrence. Among 170 participants who reported adhering to the intervention and 198 comparable control arm participants, we measured 15 BAs in baseline, year 2, and year 3 serum using targeted, quantitative liquid chromatography-tandem mass spectrometry. We estimated associations of BAs with adenoma recurrence using multivariable logistic regression and the effect of the dietary intervention on BA concentrations using repeated-measures linear mixed-effects models. In a subset (N = 65), we investigated associations of BAs with 16S rRNA gene sequenced rectal tissue microbiome characteristics. RESULTS Baseline total BA concentrations were positively associated with adenoma recurrence (odds ratio Q3 vs Q1 = 2.17; 95% confidence interval = 1.19-4.04; Ptrend = 0.03). Although we found no effect of the dietary intervention on BA concentrations, pretrial dietary fiber intake was inversely associated with total baseline BAs (Spearman = -0.15; PFDR = 0.02). BA concentrations were associated with potential colorectal neoplasm-related microbiome features (lower alpha diversity and higher Bacteroides abundance). DISCUSSION Baseline circulating BAs were positively associated with adenoma recurrence. Although the dietary intervention did not modify BA concentrations, long-term fiber intake may be associated with lower concentrations of BAs that are associated with higher risk of adenoma recurrence.
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Affiliation(s)
- Doratha A. Byrd
- Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute, National Institutes of Health, Rockville, Maryland, USA
- Division of Population Sciences, Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, Florida, USA
| | - Maria Gomez
- Division of Population Sciences, Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, Florida, USA
| | - Stephanie Hogue
- Division of Population Sciences, Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, Florida, USA
| | - Gwen Murphy
- Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute, National Institutes of Health, Rockville, Maryland, USA
- Department of Surgery and Cancer, Cancer Screening and Prevention Research Group (CSPRG), Imperial College London, London, United Kingdom
| | - Joshua N. Sampson
- Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute, National Institutes of Health, Rockville, Maryland, USA
| | - Emily Vogtmann
- Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute, National Institutes of Health, Rockville, Maryland, USA
| | - Paul Albert
- Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute, National Institutes of Health, Rockville, Maryland, USA
| | - Neal D. Freedman
- Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute, National Institutes of Health, Rockville, Maryland, USA
| | - Rashmi Sinha
- Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute, National Institutes of Health, Rockville, Maryland, USA
| | - Erikka Loftfield
- Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute, National Institutes of Health, Rockville, Maryland, USA
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Wei Y, Cheng J, Luo M, Yang S, Xing Q, Cheng J, Lv J, Yu C, Sun L, Shi D, Deng Y. Targeted metabolomics analysis of bile acids and cell biology studies reveal the critical role of glycodeoxycholic acid in buffalo follicular atresia. J Steroid Biochem Mol Biol 2022; 221:106115. [PMID: 35460848 DOI: 10.1016/j.jsbmb.2022.106115] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Revised: 04/06/2022] [Accepted: 04/17/2022] [Indexed: 10/18/2022]
Abstract
The follicular fluid of mammals has a high abundance of bile acids and these have proven to be closely related to the follicular atresia. However, the origin and content of bile acids in follicular fluid and its mechanisms on follicular atresia remain largely unknown. In this work, we analyzed the origin of bile acids in buffalo follicles by using cell biology studies, and quantified the subspecies of bile acids in follicular fluid from healthy follicles (HF) and atretic follicles (AF) by targeted metabolomics. The function of differential bile acids on follicular granulosa cells was also studied. The results showed that the bile acids transporters were abundantly expressed in ovarian tissues, but the rate-limiting enzymes were not, which was consistent with the inability of cultured follicular cells to convert cholesterol into bile acids. Targeted metabolomics analysis revealed thirteen differential subspecies of bile acids between HF and AF. The free bile acids were significant down-regulated and their conjugated forms were significantly up-regulated in AF as compared to HF. Finally, cell biological validation found a specific differentially conjugated bile acid, glycodeoxycholic acid (GDCA), which could promote follicular granulosa cell apoptosis and reduce steroid hormone secretion. In summary, our studies suggest that bile acids in buffalo follicles are transported from the blood rather than being synthesized within the follicles. The conjugated bile acids such as GDCA, accumulate in buffalo follicles, and may accelerate atresia by promoting apoptosis of granulosa cells and inhibiting steroid hormone production. These results will provide new clues for studying the physiological role and mechanism of bile acids involved in buffalo follicular atresia.
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Affiliation(s)
- Yaochang Wei
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, Animal Reproduction Institute, Guangxi University, Nanning, PR China
| | - Juanru Cheng
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, Animal Reproduction Institute, Guangxi University, Nanning, PR China
| | - Man Luo
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, Animal Reproduction Institute, Guangxi University, Nanning, PR China
| | - Sufang Yang
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, Animal Reproduction Institute, Guangxi University, Nanning, PR China
| | - Qinghua Xing
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, Animal Reproduction Institute, Guangxi University, Nanning, PR China
| | - Jiarui Cheng
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, Animal Reproduction Institute, Guangxi University, Nanning, PR China
| | - Jiashun Lv
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, Animal Reproduction Institute, Guangxi University, Nanning, PR China
| | - Chenqi Yu
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, Animal Reproduction Institute, Guangxi University, Nanning, PR China
| | - Le Sun
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, Animal Reproduction Institute, Guangxi University, Nanning, PR China
| | - Deshun Shi
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, Animal Reproduction Institute, Guangxi University, Nanning, PR China.
| | - Yanfei Deng
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, Animal Reproduction Institute, Guangxi University, Nanning, PR China.
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Farhat Z, Freedman ND, Sampson JN, Falk RT, Koshiol J, Weinstein SJ, Albanes D, Sinha R, Loftfield E. A prospective investigation of serum bile acids with risk of liver cancer, fatal liver disease, and biliary tract cancer. Hepatol Commun 2022; 6:2391-2399. [PMID: 35678016 PMCID: PMC9426378 DOI: 10.1002/hep4.2003] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 04/01/2022] [Accepted: 04/25/2022] [Indexed: 11/07/2022] Open
Abstract
Bile acids (BAs), major regulators of the gut microbiota, may play an important role in hepatobiliary cancer etiology. However, few epidemiologic studies have comprehensively examined associations between BAs and liver or biliary tract cancer. In the Alpha-Tocopherol, Beta-Carotene Cancer Prevention (ATBC) study, we designed 1:1 matched, nested, case-control studies of primary liver cancer (n = 201 cases), fatal liver disease (n = 261 cases), and primary biliary tract cancer (n = 138 cases). Using baseline serum collected ≤30 years before diagnosis or death, we measured concentrations of 15 BAs with liquid chromatography-tandem mass spectrometry. We estimated odds ratios (ORs) and 95% confidence intervals (CIs) using multivariable conditional logistic regression models, adjusted for age, education, diabetes status, smoking, alcohol intake, and body mass index. We accounted for multiple comparisons using a false discovery rate (FDR) correction. Comparing the highest to the lowest quartile, seven BAs were positively associated with liver cancer risk, including taurocholic acid (TCA) (OR, 5.62; 95% CI, 2.74-11.52; Q trend < 0.0001), taurochenodeoxycholic acid (TCDCA) (OR, 4.77; 95% CI, 2.26-10.08; Q trend < 0.0001), and glycocholic acid (GCA) OR, 5.30; 95% CI, 2.41-11.66; Q trend < 0.0001), and 11 were positively associated with fatal liver disease risk, including TCDCA (OR, 9.65; 95% CI, 4.41-21.14; Q trend < 0.0001), TCA (OR, 7.45; 95% CI, 3.70-14.97; Q trend < 0.0001), and GCA (OR, 6.98; 95% CI, 3.32-14.68; Q trend < 0.0001). For biliary tract cancer, associations were generally >1 but not significant after FDR correction. Conjugated BAs were strongly associated with increased risk of liver cancer and fatal liver disease, suggesting mechanistic links between BA metabolism and liver cancer or death from liver disease.
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Affiliation(s)
- Zeinab Farhat
- Metabolic Epidemiology BranchDivision of Cancer Epidemiology and GeneticsNational Cancer InstituteNational Institutes of HealthRockvilleMarylandUSA
| | - Neal D. Freedman
- Metabolic Epidemiology BranchDivision of Cancer Epidemiology and GeneticsNational Cancer InstituteNational Institutes of HealthRockvilleMarylandUSA
| | - Joshua N. Sampson
- Biostatistics BranchDivision of Cancer Epidemiology and GeneticsNational Cancer InstituteNational Institutes of HealthRockvilleMarylandUSA
| | - Roni T. Falk
- Metabolic Epidemiology BranchDivision of Cancer Epidemiology and GeneticsNational Cancer InstituteNational Institutes of HealthRockvilleMarylandUSA
| | - Jill Koshiol
- Infections and Immunoepidemiology BranchDivision of Cancer Epidemiology and GeneticsNational Cancer InstituteNational Institutes of HealthRockvilleMarylandUSA
| | - Stephanie J. Weinstein
- Metabolic Epidemiology BranchDivision of Cancer Epidemiology and GeneticsNational Cancer InstituteNational Institutes of HealthRockvilleMarylandUSA
| | - Demetrius Albanes
- Metabolic Epidemiology BranchDivision of Cancer Epidemiology and GeneticsNational Cancer InstituteNational Institutes of HealthRockvilleMarylandUSA
| | - Rashmi Sinha
- Metabolic Epidemiology BranchDivision of Cancer Epidemiology and GeneticsNational Cancer InstituteNational Institutes of HealthRockvilleMarylandUSA
| | - Erikka Loftfield
- Metabolic Epidemiology BranchDivision of Cancer Epidemiology and GeneticsNational Cancer InstituteNational Institutes of HealthRockvilleMarylandUSA
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Loftfield E, Falk RT, Sampson JN, Huang WY, Hullings A, Murphy G, Weinstein SJ, Albanes D, Freedman ND, Sinha R. Prospective Associations of Circulating Bile Acids and Short-Chain Fatty Acids With Incident Colorectal Cancer. JNCI Cancer Spectr 2022; 6:pkac027. [PMID: 35583137 PMCID: PMC9115675 DOI: 10.1093/jncics/pkac027] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Revised: 02/09/2022] [Accepted: 02/25/2022] [Indexed: 08/15/2023] Open
Abstract
BACKGROUND Human studies investigating the prospective relationship between microbial metabolites and colorectal cancer (CRC) risk are lacking. We tested whether higher serum bile acids (BAs) and lower short-chain fatty acids (SCFAs) were associated with CRC risk. METHODS In baseline serum collected more than 30 years before a CRC diagnosis, we quantified concentrations of 15 BAs and 6 SCFAs using targeted liquid chromatography with tandem mass spectrometry assays in 1:1 matched cases and controls from the Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Screening Trial (men: n = 262 cases; women: n = 233 cases) and the Alpha-Tocopherol, Beta-Carotene Cancer Prevention Study (men: n = 598 cases). We estimated odds ratios (ORs) and 95% confidence intervals (CIs) for BA and SCFA quartiles and summary measures with CRC overall and by anatomic location using multivariable conditional logistic regression models. PLCO analyses were stratified by sex. All statistical tests were 2-sided. RESULTS In PLCO women, 7 BAs were strongly associated with increased CRC risk, including the secondary BAs, deoxycholic (ORQ4 v Q1 = 2.85, 95% CI = 1.45 to 5.60, Qtrend = 0.011), glycodeoxycholic (OR Q4 v Q1 = 3.45, 95% CI = 1.79 to 6.64, Qtrend = 0.006), taurodeoxycholic (OR Q4 v Q1 = 2.36, 95% CI = 1.22 to 4.55, Qtrend = 0.023), and glycolithocholic acid (ORQ4 v Q1 = 2.71, 95% CI = 1.41 to 5.22, Qtrend = 0.015). Women in the highest compared with lowest quartile of total SCFAs had a 45% lower risk of CRC (OR = 0.55, 95% CI = 0.31 to 0.98, Ptrend = .03). Associations for total BAs and SCFAs were strongest among women with proximal colon cancer. No statistically significant associations were observed for BA or SCFA measures among men. CONCLUSIONS Serum concentrations of BAs, particularly downstream microbial metabolites of cholic acid, were strongly associated with increased risk of CRC among women.
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Affiliation(s)
- Erikka Loftfield
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Roni T Falk
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Joshua N Sampson
- Biostatistics Branch, DCEG, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Wen-Yi Huang
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Autumn Hullings
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Gwen Murphy
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Stephanie J Weinstein
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Demetrius Albanes
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Neal D Freedman
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Rashmi Sinha
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute, National Institutes of Health, Rockville, MD, USA
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