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Martino C, Kellman BP, Sandoval DR, Clausen TM, Cooper R, Benjdia A, Soualmia F, Clark AE, Garretson AF, Marotz CA, Song SJ, Wandro S, Zaramela LS, Salido RA, Zhu Q, Armingol E, Vázquez-Baeza Y, McDonald D, Sorrentino JT, Taylor B, Belda-Ferre P, Das P, Ali F, Liang C, Zhang Y, Schifanella L, Covizzi A, Lai A, Riva A, Basting C, Broedlow CA, Havulinna AS, Jousilahti P, Estaki M, Kosciolek T, Kuplicki R, Victor TA, Paulus MP, Savage KE, Benbow JL, Spielfogel ES, Anderson CAM, Martinez ME, Lacey JV, Huang S, Haiminen N, Parida L, Kim HC, Gilbert JA, Sweeney DA, Allard SM, Swafford AD, Cheng S, Inoyue M, Niiranen T, Jain M, Salomaa V, Zengler K, Klatt NR, Hasty J, Berteau O, Carlin AF, Esko JD, Lewis NE, Knight R. SARS-CoV-2 infectivity can be modulated through bacterial grooming of the glycocalyx. mBio 2025:e0401524. [PMID: 39998226 DOI: 10.1128/mbio.04015-24] [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: 12/23/2024] [Accepted: 01/30/2025] [Indexed: 02/26/2025] Open
Abstract
The gastrointestinal (GI) tract is a site of replication of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and GI symptoms are often reported by patients. SARS-CoV-2 cell entry depends upon heparan sulfate (HS) proteoglycans, which commensal bacteria that bathe the human mucosa are known to modify. To explore human gut HS-modifying bacterial abundances and how their presence may impact SARS-CoV-2 infection, we developed a task-based analysis of proteoglycan degradation on large-scale shotgun metagenomic data. We observed that gut bacteria with high predicted catabolic capacity for HS differ by age and sex, factors associated with coronavirus disease 2019 (COVID-19) severity, and directly by disease severity during/after infection, but do not vary between subjects with COVID-19 comorbidities or by diet. Gut commensal bacterial HS-modifying enzymes reduce spike protein binding and infection of authentic SARS-CoV-2, suggesting that bacterial grooming of the GI mucosa may impact viral susceptibility.IMPORTANCESevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus responsible for coronavirus disease 2019, can infect the gastrointestinal (GI) tract, and individuals who exhibit GI symptoms often have more severe disease. The GI tract's glycocalyx, a component of the mucosa covering the large intestine, plays a key role in viral entry by binding SARS-CoV-2's spike protein via heparan sulfate (HS). Here, using metabolic task analysis of multiple large microbiome sequencing data sets of the human gut microbiome, we identify a key commensal human intestinal bacteria capable of grooming glycocalyx HS and modulating SARS-CoV-2 infectivity in vitro. Moreover, we engineered the common probiotic Escherichia coli Nissle 1917 (EcN) to effectively block SARS-CoV-2 binding and infection of human cell cultures. Understanding these microbial interactions could lead to better risk assessments and novel therapies targeting viral entry mechanisms.
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Affiliation(s)
- Cameron Martino
- Department of Pediatrics, University of California San Diego School of Medicine, La Jolla, California, USA
- Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, California, USA
- Center for Microbiome Innovation, University of California San Diego, La Jolla, California, USA
| | - Benjamin P Kellman
- Department of Pediatrics, University of California San Diego School of Medicine, La Jolla, California, USA
- Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, California, USA
| | - Daniel R Sandoval
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, California, USA
| | - Thomas Mandel Clausen
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, California, USA
- Copenhagen Center for Glycomics, Department of Molecular and Cellular Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Robert Cooper
- Department of Bioengineering, University of California San Diego, La Jolla, California, USA
| | - Alhosna Benjdia
- Université Paris-Saclay, INRAE, AgroParisTech, Micalis Institute, ChemSyBio, 78350, Jouy-en-Josas, France
| | - Feryel Soualmia
- Université Paris-Saclay, INRAE, AgroParisTech, Micalis Institute, ChemSyBio, 78350, Jouy-en-Josas, France
- Sorbonne Université, Faculty of Sciences and Engineering, IBPS, UMR 8263 CNRS-SU, ERL INSERM U1345, Development, Adaptation and Ageing, F-75252 Paris, France
| | - Alex E Clark
- Department of Medicine, University of California San Diego, La Jolla, California, USA
| | - Aaron F Garretson
- Department of Medicine, University of California San Diego, La Jolla, California, USA
| | - Clarisse A Marotz
- Department of Pediatrics, University of California San Diego School of Medicine, La Jolla, California, USA
| | - Se Jin Song
- Center for Microbiome Innovation, University of California San Diego, La Jolla, California, USA
| | - Stephen Wandro
- Center for Microbiome Innovation, University of California San Diego, La Jolla, California, USA
| | - Livia S Zaramela
- Department of Pediatrics, University of California San Diego School of Medicine, La Jolla, California, USA
- Department of Biochemistry, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, São Paulo, Brazil
| | - Rodolfo A Salido
- Department of Pediatrics, University of California San Diego School of Medicine, La Jolla, California, USA
- Center for Microbiome Innovation, University of California San Diego, La Jolla, California, USA
- Department of Bioengineering, University of California San Diego, La Jolla, California, USA
| | - Qiyun Zhu
- Department of Pediatrics, University of California San Diego School of Medicine, La Jolla, California, USA
- School of Life Sciences, Arizona State University, Tempe, Arizona, USA
| | - Erick Armingol
- Department of Pediatrics, University of California San Diego School of Medicine, La Jolla, California, USA
- Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, California, USA
| | - Yoshiki Vázquez-Baeza
- Center for Microbiome Innovation, University of California San Diego, La Jolla, California, USA
- Jacobs School of Engineering, University of California San Diego, La Jolla, California, USA
| | - Daniel McDonald
- Department of Pediatrics, University of California San Diego School of Medicine, La Jolla, California, USA
| | - James T Sorrentino
- Department of Pediatrics, University of California San Diego School of Medicine, La Jolla, California, USA
- Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, California, USA
| | - Bryn Taylor
- Biomedical Sciences Graduate Program, University of California San Diego, La Jolla, California, USA
| | - Pedro Belda-Ferre
- Department of Pediatrics, University of California San Diego School of Medicine, La Jolla, California, USA
| | - Promi Das
- Department of Pediatrics, University of California San Diego School of Medicine, La Jolla, California, USA
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, California, USA
| | - Farhana Ali
- Department of Pediatrics, University of California San Diego School of Medicine, La Jolla, California, USA
| | - Chenguang Liang
- Department of Pediatrics, University of California San Diego School of Medicine, La Jolla, California, USA
- Department of Bioengineering, University of California San Diego, La Jolla, California, USA
- Merck & Co., Inc., Rahway, NJ, 07065, USA
| | - Yujie Zhang
- Department of Bioengineering, University of California San Diego, La Jolla, California, USA
- Department of Biological & Medical Informatics, University of California San Francisco, School of Pharmacy, San Francisco, California, USA
| | - Luca Schifanella
- Department of Surgery, Division of Surgical Outcomes and Precision Medicine Research, Medical School, University of Minnesota, Minneapolis, Minnesota, USA
- National Institutes of Health, National Cancer Institute, Center for Cancer Research, Animal Models and Retroviral Vaccine Section, Bethesda, Maryland, USA
| | - Alice Covizzi
- Department of Infectious diseases, Luigi Sacco Hospital, Milan and Department of Biomedical and Clinical Sciences (DIBIC), University of Milan, Milan, Italy
| | - Alessia Lai
- Department of Infectious diseases, Luigi Sacco Hospital, Milan and Department of Biomedical and Clinical Sciences (DIBIC), University of Milan, Milan, Italy
| | - Agostino Riva
- Department of Infectious diseases, Luigi Sacco Hospital, Milan and Department of Biomedical and Clinical Sciences (DIBIC), University of Milan, Milan, Italy
| | - Christopher Basting
- Department of Surgery, Division of Surgical Outcomes and Precision Medicine Research, Medical School, University of Minnesota, Minneapolis, Minnesota, USA
| | - Courtney Ann Broedlow
- Department of Surgery, Division of Surgical Outcomes and Precision Medicine Research, Medical School, University of Minnesota, Minneapolis, Minnesota, USA
| | - Aki S Havulinna
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki and Turku, Finland
- Institute for Molecular Medicine Finland, FIMM - HiLIFE, Helsinki, Finland
| | - Pekka Jousilahti
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki and Turku, Finland
| | - Mehrbod Estaki
- Department of Pediatrics, University of California San Diego School of Medicine, La Jolla, California, USA
| | - Tomasz Kosciolek
- Department of Pediatrics, University of California San Diego School of Medicine, La Jolla, California, USA
- Sano Centre for Computational Medicine, Krakow, Poland
| | - Rayus Kuplicki
- Laureate Institute for Brain Research, Tulsa, Oklahoma, USA
| | | | | | - Kristen E Savage
- Division of Health Analytics, Department of Computational and Quantitative Medicine, City of Hope, Duarte, California, USA
| | - Jennifer L Benbow
- Division of Health Analytics, Department of Computational and Quantitative Medicine, City of Hope, Duarte, California, USA
- UC Health Data Warehouse, University of California Irvine, Irvine, California, USA
| | - Emma S Spielfogel
- Division of Health Analytics, Department of Computational and Quantitative Medicine, City of Hope, Duarte, California, USA
| | - Cheryl A M Anderson
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, California, USA
| | - Maria Elena Martinez
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, California, USA
| | - James V Lacey
- Division of Health Analytics, Department of Computational and Quantitative Medicine, City of Hope, Duarte, California, USA
| | - Shi Huang
- Department of Pediatrics, University of California San Diego School of Medicine, La Jolla, California, USA
- Center for Microbiome Innovation, University of California San Diego, La Jolla, California, USA
- Faculty of Dentistry, The University of Hong Kong, Hong Kong, China
| | - Niina Haiminen
- IBM T. J. Watson Research Center, Yorktown Heights, New York, USA
| | - Laxmi Parida
- IBM T. J. Watson Research Center, Yorktown Heights, New York, USA
| | - Ho-Cheol Kim
- AI and Cognitive Software, IBM Research-Almaden, San Jose, California, USA
| | - Jack A Gilbert
- Department of Pediatrics, University of California San Diego School of Medicine, La Jolla, California, USA
- Center for Microbiome Innovation, University of California San Diego, La Jolla, California, USA
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, California, USA
| | - Daniel A Sweeney
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, University of California San Diego, La Jolla, California, USA
| | - Sarah M Allard
- Department of Pediatrics, University of California San Diego School of Medicine, La Jolla, California, USA
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, California, USA
| | - Austin D Swafford
- Center for Microbiome Innovation, University of California San Diego, La Jolla, California, USA
- International Biomedical Research Alliance, Bethesda, Maryland, USA
| | - Susan Cheng
- Division of Cardiology, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Michael Inoyue
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, United Kingdom
- Cambridge Baker Systems Genomics Initiative, Baker Heart and Diabetes Institute, Melbourne, Australia
- Cambridge Baker Systems Genomics Initiative, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Teemu Niiranen
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki and Turku, Finland
- Division of Medicine, Turku University Hospital and University of Turku, Turku, Finland
| | - Mohit Jain
- Department of Pharmacology, University of California, San Diego, La Jolla, California, USA
| | - Veikko Salomaa
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki and Turku, Finland
| | - Karsten Zengler
- Department of Pediatrics, University of California San Diego School of Medicine, La Jolla, California, USA
- Center for Microbiome Innovation, University of California San Diego, La Jolla, California, USA
- Department of Bioengineering, University of California San Diego, La Jolla, California, USA
| | - Nichole R Klatt
- Department of Surgery, Division of Surgical Outcomes and Precision Medicine Research, Medical School, University of Minnesota, Minneapolis, Minnesota, USA
| | - Jeff Hasty
- Department of Bioengineering, University of California San Diego, La Jolla, California, USA
- Molecular Biology Section, Division of Biological Science, University of California San Diego, La Jolla, California, USA
| | - Olivier Berteau
- Université Paris-Saclay, INRAE, AgroParisTech, Micalis Institute, ChemSyBio, 78350, Jouy-en-Josas, France
| | - Aaron F Carlin
- Department of Medicine, University of California San Diego, La Jolla, California, USA
| | - Jeffrey D Esko
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, California, USA
- Glycobiology Research and Training Center, University of California San Diego, La Jolla, California, USA
| | - Nathan E Lewis
- Department of Pediatrics, University of California San Diego School of Medicine, La Jolla, California, USA
- Center for Microbiome Innovation, University of California San Diego, La Jolla, California, USA
- Department of Bioengineering, University of California San Diego, La Jolla, California, USA
- Jacobs School of Engineering, University of California San Diego, La Jolla, California, USA
- Center for Molecular Medicine, Complex Carbohydrate Research Center, and Dept of Biochemistry and Molecular Biology, University of Georgia, Athens, Georgia, USA
- Department of Biotechnology and Biomedicine, Technical University of Denmark, Lyngby, Denmark
| | - Rob Knight
- Department of Pediatrics, University of California San Diego School of Medicine, La Jolla, California, USA
- Center for Microbiome Innovation, University of California San Diego, La Jolla, California, USA
- Department of Bioengineering, University of California San Diego, La Jolla, California, USA
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, California, USA
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Loktionov AV, Kobzeva KA, Karpenko AR, Sergeeva VA, Orlov YL, Bushueva OY. GWAS-significant loci and severe COVID-19: analysis of associations, link with thromboinflammation syndrome, gene-gene, and gene-environmental interactions. Front Genet 2024; 15:1434681. [PMID: 39175753 PMCID: PMC11338913 DOI: 10.3389/fgene.2024.1434681] [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: 05/18/2024] [Accepted: 07/29/2024] [Indexed: 08/24/2024] Open
Abstract
Objective The aim of this study was to replicate associations of GWAS-significant loci with severe COVID-19 in the population of Central Russia, to investigate associations of the SNPs with thromboinflammation parameters, to analyze gene-gene and gene-environmental interactions. Materials and Methods DNA samples from 798 unrelated Caucasian subjects from Central Russia (199 hospitalized COVID-19 patients and 599 controls with a mild or asymptomatic course of COVID-19) were genotyped using probe-based polymerase chain reaction for 10 GWAS-significant SNPs: rs143334143 CCHCR1, rs111837807 CCHCR1, rs17078346 SLC6A20-LLZTFL1, rs17713054 SLC6A20-LLZTFL1, rs7949972 ELF5, rs61882275 ELF5, rs12585036 ATP11A, rs67579710 THBS3, THBS3-AS1, rs12610495 DPP9, rs9636867 IFNAR2. Results SNP rs17713054 SLC6A20-LZTFL1 was associated with increased risk of severe COVID-19 in the entire group (risk allele A, OR = 1.78, 95% CI = 1.22-2.6, p = 0.003), obese individuals (OR = 2.31, 95% CI = 1.52-3.5, p = 0.0002, (p bonf = 0.0004)), patients with low fruit and vegetable intake (OR = 1.72, 95% CI = 1.15-2.58, p = 0.01, (p bonf = 0.02)), low physical activity (OR = 1.93, 95% CI = 1.26-2.94, p = 0.0035, (p bonf = 0.007)), and nonsmokers (OR = 1.65, 95% CI = 1.11-2.46, p = 0.02). This SNP correlated with increased BMI (p = 0.006) and worsened thrombodynamic parameters (maximum optical density of the formed clot, D (p = 0.02), delayed appearance of spontaneous clots, Tsp (p = 0.02), clot size 30 min after coagulation activation, CS (p = 0.036)). SNP rs17078346 SLC6A20-LZTFL1 was linked with increased BMI (p = 0.01) and severe COVID-19 in obese individuals (risk allele C, OR = 1.72, 95% CI = 1.15-2.58, p = 0.01, (p bonf = 0.02)). SNP rs12610495 DPP9 was associated with increased BMI (p = 0.01), severe COVID-19 in obese patients (risk allele G, OR = 1.48, 95% CI = 1.09-2.01, p = 0.01, (p bonf = 0.02)), and worsened thrombodynamic parameters (time to the start of clot growth, Tlag (p = 0.01)). For rs7949972 ELF5, a protective effect against severe COVID-19 was observed in non-obese patients (effect allele T, OR = 0.67, 95% CI = 0.47-0.95, p = 0.02, (p bonf = 0.04)), improving thrombodynamic parameters (CS (p = 0.02), stationary spatial clot growth rates, Vst (p = 0.02)). Finally, rs12585036 ATP11A exhibited a protective effect against severe COVID-19 in males (protective allele A, OR = 0.51, 95% CI = 0.32-0.83, p = 0.004). SNPs rs67579710 THBS3, THBS3-AS1, rs17713054 SLC6A20-LZTFL1, rs7949972 ELF5, rs9636867 IFNAR2-were involved in two or more of the most significant G×G interactions (p perm ≤ 0.01). The pairwise combination rs67579710 THBS3, THBS3-AS1 × rs17713054 SLC6A20-LZTFL1 was a priority in determining susceptibility to severe COVID-19 (it was included in four of the top five most significant SNP-SNP interaction models). Conclusion Overall, this study represents a comprehensive molecular-genetic and bioinformatics analysis of the involvement of GWAS-significant loci in the molecular mechanisms of severe COVID-19, gene-gene and gene-environmental interactions, and provides evidence of their relationship with thromboinflammation parameters in patients hospitalized in intensive care units.
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Affiliation(s)
- Alexey Valerevich Loktionov
- Department of Anesthesia and Critical Care, Institute of Continuing Education, Kursk State Medical University, Kursk, Russia
- Laboratory of Genomic Research, Research Institute for Genetic and Molecular Epidemiology, Kursk State Medical University, Kursk, Russia
| | - Ksenia Andreevna Kobzeva
- Laboratory of Genomic Research, Research Institute for Genetic and Molecular Epidemiology, Kursk State Medical University, Kursk, Russia
| | - Andrey Romanovich Karpenko
- Department of Anesthesia and Critical Care, Institute of Continuing Education, Kursk State Medical University, Kursk, Russia
- Laboratory of Genomic Research, Research Institute for Genetic and Molecular Epidemiology, Kursk State Medical University, Kursk, Russia
| | - Vera Alexeevna Sergeeva
- Department of Anesthesia and Critical Care, Institute of Continuing Education, Kursk State Medical University, Kursk, Russia
| | - Yuriy Lvovich Orlov
- Institute of Biodesign and Complex Systems Modeling, Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia
| | - Olga Yurievna Bushueva
- Laboratory of Genomic Research, Research Institute for Genetic and Molecular Epidemiology, Kursk State Medical University, Kursk, Russia
- Department of Biology, Medical Genetics and Ecology, Kursk State Medical University, Kursk, Russia
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Koyama S, Joseph PV, Shields VDC, Heinbockel T, Adhikari P, Kaur R, Kumar R, Alizadeh R, Bhutani S, Calcinoni O, Mucignat-Caretta C, Chen J, Cooper KW, Das SR, Rohlfs Domínguez P, Guàrdia MD, Klyuchnikova MA, Laktionova TK, Mori E, Namjoo Z, Nguyen H, Özdener MH, Parsa S, Özdener-Poyraz E, Strub DJ, Taghizadeh-Hesary F, Ueha R, Voznessenskaya VV. Possible roles of phytochemicals with bioactive properties in the prevention of and recovery from COVID-19. Front Nutr 2024; 11:1408248. [PMID: 39050135 PMCID: PMC11266003 DOI: 10.3389/fnut.2024.1408248] [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: 03/27/2024] [Accepted: 05/29/2024] [Indexed: 07/27/2024] Open
Abstract
Introduction There have been large geographical differences in the infection and death rates of COVID-19. Foods and beverages containing high amounts of phytochemicals with bioactive properties were suggested to prevent contracting and to facilitate recovery from COVID-19. The goal of our study was to determine the correlation of the type of foods/beverages people consumed and the risk reduction of contracting COVID-19 and the recovery from COVID-19. Methods We developed an online survey that asked the participants whether they contracted COVID-19, their symptoms, time to recover, and their frequency of eating various types of foods/beverages. The survey was developed in 10 different languages. Results The participants who did not contract COVID-19 consumed vegetables, herbs/spices, and fermented foods/beverages significantly more than the participants who contracted COVID-19. Among the six countries (India/Iran/Italy/Japan/Russia/Spain) with over 100 participants and high correspondence between the location of the participants and the language of the survey, in India and Japan the people who contracted COVID-19 showed significantly shorter recovery time, and greater daily intake of vegetables, herbs/spices, and fermented foods/beverages was associated with faster recovery. Conclusions Our results suggest that phytochemical compounds included in the vegetables may have contributed in not only preventing contraction of COVID-19, but also accelerating their recovery.
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Affiliation(s)
- Sachiko Koyama
- School of Medicine, Indiana University, Indianapolis, IN, United States
| | - Paule V. Joseph
- Section of Sensory Science and Metabolism and National Institute of Nursing Research, National Institute of Alcohol Abuse and Alcoholism, Bethesda, MD, United States
| | - Vonnie D. C. Shields
- Department of Biological Sciences, Fisher College of Science and Mathematics, Towson University, Towson, MD, United States
| | - Thomas Heinbockel
- Department of Anatomy, Howard University College of Medicine, Washington, DC, United States
| | | | - Rishemjit Kaur
- CSIR-Central Scientific Instruments Organisation, Chandigarh, India
| | - Ritesh Kumar
- CSIR-Central Scientific Instruments Organisation, Chandigarh, India
| | - Rafieh Alizadeh
- ENT and Head and Neck Research Center and Department, The Five Senses Health Institute, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Surabhi Bhutani
- School of Exercise and Nutritional Sciences, San Diego State University, San Diego, CA, United States
| | | | | | - Jingguo Chen
- Department of Otolaryngology-Head and Neck Surgery, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Keiland W. Cooper
- Department of Neurobiology and Behavior, University of California, Irvine, Irvine, CA, United States
| | - Subha R. Das
- Department of Chemistry, The Center for Nucleic Acids Science & Technology, Carnegie Mellon University, Pittsburgh, PA, United States
| | - Paloma Rohlfs Domínguez
- Department of Evolutionary Psychology and Educational Psychology, Universidad del País Vasco-Euskal Herriko Unibertsitatea, Leioa, Spain
| | | | - Maria A. Klyuchnikova
- Severtsov Institute of Ecology & Evolution, Russian Academy of Sciences, Moscow, Russia
| | - Tatiana K. Laktionova
- Severtsov Institute of Ecology & Evolution, Russian Academy of Sciences, Moscow, Russia
| | - Eri Mori
- Department of Otorhinolaryngology, The Jikei University School of Medicine, Tokyo, Japan
| | - Zeinab Namjoo
- Department of Anatomical Sciences, School of Medicine, Ardabil University of Medical Sciences, Ardabil, Iran
| | - Ha Nguyen
- Monell Chemical Senses Center, Philadelphia, PA, United States
| | | | - Shima Parsa
- Transplant Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Elif Özdener-Poyraz
- School of Pharmacy & Health Sciences, Fairleigh Dickinson University, Florham Park, NJ, United States
| | - Daniel Jan Strub
- Department of Chemical Biology and Bioimaging, Wrocław University of Science and Technology, Wrocław, Poland
| | - Farzad Taghizadeh-Hesary
- ENT and Head and Neck Research Center and Department, The Five Senses Health Institute, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Rumi Ueha
- Swallowing Center, The University of Tokyo Hospital, Tokyo, Japan
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Yang Z, Shao Z, Ouyang W, Ying L, Guo R, Hao M, Liang Y, Zhang W, Chen X, Chen R, Yu C, Prabahar K, Găman MA, Kord-Varkaneh H, Li H, Zhao B. The effect of green coffee extract supplementation on obesity indices: critical umbrella review of interventional meta-analyses. Crit Rev Food Sci Nutr 2023; 64:10537-10545. [PMID: 37341701 DOI: 10.1080/10408398.2023.2225614] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/22/2023]
Abstract
Despite a multitude of investigations assessing the impact of green coffee extract supplementation on obesity indices, there is still a great deal of heated debate regarding the benefits of this intervention in obesity management. Therefore, in order to clarify the effect of green coffee extract on waist circumference (WC), body mass index (BMI) and body weight (BW), we conducted an umbrella review of interventional meta-analyses. The Web of Science, Scopus, PubMed/Medline, and Embase databases were searched using specific keywords and word combinations. The umbrella meta-analysis was performed using the Stata software version 17 (Stata Corp. College Station, Texas, USA). We pooled effect sizes (ES) and confidence intervals (CI) for the outcomes using the random effects model (the DerSimonian and Laird method). In total, 5 eligible meta-analyses were included in the final quantitative assessment. Data pooled from 5 eligible papers revealed that green coffee extract can reduce BW (WMD: -1.22 kg, 95% CI: -1.53 to -0.92, p < 0.001), BMI (WMD: -0.48 kg/m2, 95% CI: -0.67 to -0.29, p < 0.001) and WC (WMD: -0.55 cm, 95% CI: -0.80 to -0.31, p < 0.001). Subgroup analyses highlighted that green coffee extract supplementation in dosages ≤600 mg/day and interventions lasting >7 wk are more likely to decrease BW. The present umbrella meta-analysis confirms the beneficial effects of green coffee extract in reducing WC, BMI, and BW. Thus, we may infer that green coffee extract can be used as a complementary therapy in the management of obesity.
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Affiliation(s)
- Zhao Yang
- College of Life Science and Technology, Innovation Center of Molecular Diagnostics, Beijing University of Chemical Technology, Beijing, China
- School of Public Health, Jining Medical University, Jining, Shandong, China
| | - Zhuo Shao
- Department of Clinical Laboratory, China-Japan Friendship Hospital, Beijing, China
| | - Weiyi Ouyang
- College of Life Science and Technology, Innovation Center of Molecular Diagnostics, Beijing University of Chemical Technology, Beijing, China
| | - Lu Ying
- College of Life Science and Technology, Innovation Center of Molecular Diagnostics, Beijing University of Chemical Technology, Beijing, China
| | - Rui Guo
- College of Life Science and Technology, Innovation Center of Molecular Diagnostics, Beijing University of Chemical Technology, Beijing, China
| | - Mingxuan Hao
- College of Life Science and Technology, Innovation Center of Molecular Diagnostics, Beijing University of Chemical Technology, Beijing, China
| | - Youfeng Liang
- College of Life Science and Technology, Innovation Center of Molecular Diagnostics, Beijing University of Chemical Technology, Beijing, China
| | - Wenjing Zhang
- College of Life Science and Technology, Innovation Center of Molecular Diagnostics, Beijing University of Chemical Technology, Beijing, China
| | - Xiaoyang Chen
- College of Life Science and Technology, Innovation Center of Molecular Diagnostics, Beijing University of Chemical Technology, Beijing, China
| | - Ruolan Chen
- College of Life Science and Technology, Innovation Center of Molecular Diagnostics, Beijing University of Chemical Technology, Beijing, China
| | - Changyuan Yu
- College of Life Science and Technology, Innovation Center of Molecular Diagnostics, Beijing University of Chemical Technology, Beijing, China
| | - Kousalya Prabahar
- Department of Pharmacy Practice, Faculty of Pharmacy, University of Tabuk, Tabuk, Saudi Arabia
| | - Mihnea-Alexandru Găman
- Faculty of Medicine, "Carol Davila" University of Medicine and Pharmacy, Bucharest, Romania & Center of Hematology and Bone Marrow Transplantation, Fundeni Clinical Institute, Bucharest, Romania
| | - Hamed Kord-Varkaneh
- Department of Clinical Nutrition and Dietetics, Faculty of Nutrition and Food Technology, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Hao Li
- School of Public Health, Jining Medical University, Jining, Shandong, China
| | - Binbin Zhao
- Institute of Gerontology, Hubei University of Chinese Medicine, Wuhan, Hubei, China
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