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Yuan YH, Mu DD, Guo L, Wu XF, Chen XS, Li XJ. From flavor to function: A review of fermented fruit drinks, their microbial profiles and health benefits. Food Res Int 2024; 196:115095. [PMID: 39614507 DOI: 10.1016/j.foodres.2024.115095] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2024] [Revised: 08/17/2024] [Accepted: 09/12/2024] [Indexed: 12/01/2024]
Abstract
Fermented fruit drinks (FFDs) are gaining popularity among consumers for their unique flavors and potential health benefits. This review provides a systematic assessment of the flavor components in FFDs and explores the metabolic pathways for their formation. We examine the interactions between the structure of microbial communities and the development of these flavor components, highlighting the role of microorganisms in shaping the unique taste of FFDs. Additionally, we discuss the potential health benefits associated with FFDs, focusing on their relationship with microbial communities as supported by existing literature. The review also addresses future prospects and challenges in the field. Our findings indicate key fermenting microorganisms, such as lactic acid bacteria, yeast and acetic acid bacteria, are responsible for producing the distinctive flavor components in FFDs, including alcohols, ketones, aldehydes, esters, and fatty acids. These microorganisms also generate organic acids, amino acids, and carbohydrates, contributing to the drink's complex taste. Furthermore, this fermentation process enhances the bioactivity of FFDs, offering potential health benefits like antioxidant, anti-obesity, anti-diabetic, and anti-cancer properties. These insights are crucial for advancing fermentation technology and developing guidelines for producing nutrient-rich, flavorful FFDs.
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Affiliation(s)
- Yu-Han Yuan
- Anhui Fermented Food Engineering Research Center, School of Food and Biological Engineering, Hefei University of Technology, Hefei 230000, China
| | - Dong-Dong Mu
- Anhui Fermented Food Engineering Research Center, School of Food and Biological Engineering, Hefei University of Technology, Hefei 230000, China
| | - Li Guo
- State Key Laboratory of Biobased Material and Green Papermaking, School of Food Sciences and Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250000, China
| | - Xue-Feng Wu
- Anhui Fermented Food Engineering Research Center, School of Food and Biological Engineering, Hefei University of Technology, Hefei 230000, China
| | - Xiang-Song Chen
- Institute of Plasma Physics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China
| | - Xing-Jiang Li
- Anhui Fermented Food Engineering Research Center, School of Food and Biological Engineering, Hefei University of Technology, Hefei 230000, China.
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2
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Kim B, Song A, Son A, Shin Y. Gut microbiota and epigenetic choreography: Implications for human health: A review. Medicine (Baltimore) 2024; 103:e39051. [PMID: 39029010 PMCID: PMC11398772 DOI: 10.1097/md.0000000000039051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/21/2024] Open
Abstract
The interwoven relationship between gut microbiota and the epigenetic landscape constitutes a pivotal axis in understanding human health and disease. Governed by a myriad of dietary, genetic, and environmental influences, the gut microbiota orchestrates a sophisticated metabolic interplay, shaping nutrient utilization, immune responses, and defenses against pathogens. Recent strides in genomics and metabolomics have shed light on the intricate connections between these microbial influencers and the host's physiological dynamics, presenting a dynamic panorama across diverse disease spectra. DNA methylation and histone modifications, as key players in epigenetics, intricately align with the dynamic orchestration of the gut microbiota. This seamless collaboration, notably evident in conditions like inflammatory bowel disease and obesity, has captured the attention of researchers, prompting an exploration of its nuanced choreography. Nevertheless, challenges abound. Analyzing data is intricate due to the multifaceted nature of the gut microbiota and the limitations of current analytical methods. This underscores the need for a multidisciplinary approach, where diverse disciplines converge to pave innovative research pathways. The integration of insights from microbiome and epigenome studies assumes paramount importance in unraveling the complexities of this intricate partnership. Deciphering the synchronized interactions within this collaboration offers a deeper understanding of these delicate interplays, potentially heralding revolutionary strides in treatment modalities and strategies for enhancing public health.
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Affiliation(s)
- Bailee Kim
- Crescenta Valley High School, La Crescenta, CA
| | - Angel Song
- Harvard-Westlake School, Studio City, CA
| | - Andrew Son
- Bellarmine College Preparatory, San Jose, CA
| | - Yonghwan Shin
- Department of Biochemistry and Molecular Medicine, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA
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3
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Yuan L, Li Y, Chen M, Xue L, Wang J, Ding Y, Gu Q, Zhang J, Zhao H, Xie X, Wu Q. Therapeutic applications of gut microbes in cardiometabolic diseases: current state and perspectives. Appl Microbiol Biotechnol 2024; 108:156. [PMID: 38244075 PMCID: PMC10799778 DOI: 10.1007/s00253-024-13007-7] [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: 09/06/2023] [Revised: 12/21/2023] [Accepted: 01/08/2024] [Indexed: 01/22/2024]
Abstract
Cardiometabolic disease (CMD) encompasses a range of diseases such as hypertension, atherosclerosis, heart failure, obesity, and type 2 diabetes. Recent findings about CMD's interaction with gut microbiota have broadened our understanding of how diet and nutrition drive microbes to influence CMD. However, the translation of basic research into the clinic has not been smooth, and dietary nutrition and probiotic supplementation have yet to show significant evidence of the therapeutic benefits of CMD. In addition, the published reviews do not suggest the core microbiota or metabolite classes that influence CMD, and systematically elucidate the causal relationship between host disease phenotypes-microbiome. The aim of this review is to highlight the complex interaction of the gut microbiota and their metabolites with CMD progression and to further centralize and conceptualize the mechanisms of action between microbial and host disease phenotypes. We also discuss the potential of targeting modulations of gut microbes and metabolites as new targets for prevention and treatment of CMD, including the use of emerging technologies such as fecal microbiota transplantation and nanomedicine. KEY POINTS: • To highlight the complex interaction of the gut microbiota and their metabolites with CMD progression and to further centralize and conceptualize the mechanisms of action between microbial and host disease phenotypes. • We also discuss the potential of targeting modulations of gut microbes and metabolites as new targets for prevention and treatment of CMD, including the use of emerging technologies such as FMT and nanomedicine. • Our study provides insight into identification-specific microbiomes and metabolites involved in CMD, and microbial-host changes and physiological factors as disease phenotypes develop, which will help to map the microbiome individually and capture pathogenic mechanisms as a whole.
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Affiliation(s)
- Lin Yuan
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an, 710021, China
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Key Laboratory of Agricultural Microbiomics and Precision Application, Ministry of Agriculture and Rural Affairs, Guangdong Academy of Sciences, Guangzhou, 510070, China
| | - Ying Li
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Key Laboratory of Agricultural Microbiomics and Precision Application, Ministry of Agriculture and Rural Affairs, Guangdong Academy of Sciences, Guangzhou, 510070, China
| | - Moutong Chen
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Key Laboratory of Agricultural Microbiomics and Precision Application, Ministry of Agriculture and Rural Affairs, Guangdong Academy of Sciences, Guangzhou, 510070, China
| | - Liang Xue
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Key Laboratory of Agricultural Microbiomics and Precision Application, Ministry of Agriculture and Rural Affairs, Guangdong Academy of Sciences, Guangzhou, 510070, China
| | - Juan Wang
- College of Food Science, South China Agricultural University, Guangzhou, 510642, China
| | - Yu Ding
- Department of Food Science and Engineering, Institute of Food Safety and Nutrition, College of Science & Engineering, Jinan University, Guangzhou, 510632, China
| | - Qihui Gu
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Key Laboratory of Agricultural Microbiomics and Precision Application, Ministry of Agriculture and Rural Affairs, Guangdong Academy of Sciences, Guangzhou, 510070, China
| | - Jumei Zhang
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Key Laboratory of Agricultural Microbiomics and Precision Application, Ministry of Agriculture and Rural Affairs, Guangdong Academy of Sciences, Guangzhou, 510070, China
| | - Hui Zhao
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Key Laboratory of Agricultural Microbiomics and Precision Application, Ministry of Agriculture and Rural Affairs, Guangdong Academy of Sciences, Guangzhou, 510070, China
| | - Xinqiang Xie
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Key Laboratory of Agricultural Microbiomics and Precision Application, Ministry of Agriculture and Rural Affairs, Guangdong Academy of Sciences, Guangzhou, 510070, China.
| | - Qingping Wu
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Key Laboratory of Agricultural Microbiomics and Precision Application, Ministry of Agriculture and Rural Affairs, Guangdong Academy of Sciences, Guangzhou, 510070, China.
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4
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Nicola MS, Kalb AL, Barbosa AA, Velasquez BES, Rincon JAA, Feijó JO, Dellagostin EN, Martins AWS, Blödorn EB, Domingues WB, Lopes F, Quinteiro-Filho WM, Mondadori RG, Campos VF, Rabassa VR, Komninou ER, Delpino FAB, Corrêa MN. Butyrate supplementation in the liquid diet of dairy calves leads to a rapid recovery from diarrhea and reduces its occurrence and relapses in the preweaning period. J Dairy Sci 2023; 106:7908-7923. [PMID: 37164858 DOI: 10.3168/jds.2022-22670] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Accepted: 04/11/2023] [Indexed: 05/12/2023]
Abstract
The present study aimed to evaluate the effect of continuous butyrate administration in dairy calves' liquid diet considering diarrhea, metabolic profile, gastrointestinal development, and corporal growth. Immediately after birth, calves were randomly allocated into 2 groups of 62 calves (50 females and 12 males), with access to water and a solid feed ad libitum. The butyrate group (BG) received 4 g/d of sodium butyrate (Admix Easy, Adisseo) diluted in the whole milk, and the control group (CG) received whole milk with no supplementation. Sodium butyrate was administered from d 1 of life until the weaning at 90 d. Feces consistency was assessed daily for the first 30 d of life and characterized by scores from 0 to 4 (0 and 1 for normal, and 2, 3, and 4 for abnormal feces). Diarrhea was diagnosed when the animals had abnormal feces and fever. Morbidity, recurrence, mortality, and lethality data were recorded and compared between the groups. Average daily gain (ADG) and corporal growth (body weight, thoracic perimeter, height at the withers, and croup width) were evaluated weekly, from the first day to d 30, and later at 45, 60, and 90 d of life. Blood samples were taken weekly for up to 30 d to determine the circulating levels of total calcium, phosphorus, chloride, bicarbonate, glucose, β-hydroxybutyrate, and nonesterified fatty acids. The males were euthanized at 15 (n = 6 per group) and 30 d (n = 6 per group) for morphometric, histological, and gene expression analysis of the gastrointestinal tract. The results showed that the BG had a lower rate of morbidity (BG = 30% vs. CG = 50%) and recurrence (BG = 26.7% vs. CG = 60%) of diarrhea than the CG. In addition, the BG had abnormal feces for a shorter period (BG = 4.64 ± 0.47 d vs. CG = 8.6 ± 0.65 d). The ADG tended to be higher in BG than CG up to 30 and 60 d. Metabolic evaluations showed the lowest levels of glucose and highest levels of nonesterified fatty acids in BG. On d 30 of life, rumen papillae length, papilla area, duodenum villus length, and crypt depth were higher in BG than in CG. The duodenal gene expression at 30 d showed that animals with diarrhea episodes that did not receive butyrate had the highest levels of transcripts for the LCT and GLP2 genes. In addition, in different ways, both butyrate and neonatal diarrhea affected the gene expression of IGF1, SLC5A1, and AQP3. These results allow us to conclude that continuous supplementation with sodium butyrate improves gastrointestinal development, reduces the occurrence of diarrhea, and makes clinical conditions milder with faster recovery, favoring a higher ADG in the first 30 and 60 d of life. Based on these results, we conclude that sodium butyrate can be indicated for liquid diet supplementation to accelerate gastrointestinal tract development and prevent severe cases of neonatal diarrhea, tending to improve average daily gain until weaning.
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Affiliation(s)
- M S Nicola
- NUPEEC (Núcleo de Pesquisa, Ensino e Extensão em Pecuária), Programa de Pós-Graduação em Veterinária (PPGV), Faculdade de Veterinária, Universidade Federal de Pelotas, 96010-610, Pelotas, RS, Brazil.
| | - A L Kalb
- NUPEEC (Núcleo de Pesquisa, Ensino e Extensão em Pecuária), Programa de Pós-Graduação em Veterinária (PPGV), Faculdade de Veterinária, Universidade Federal de Pelotas, 96010-610, Pelotas, RS, Brazil
| | - A A Barbosa
- NUPEEC (Núcleo de Pesquisa, Ensino e Extensão em Pecuária), Programa de Pós-Graduação em Veterinária (PPGV), Faculdade de Veterinária, Universidade Federal de Pelotas, 96010-610, Pelotas, RS, Brazil
| | - B E S Velasquez
- NUPEEC (Núcleo de Pesquisa, Ensino e Extensão em Pecuária), Programa de Pós-Graduação em Veterinária (PPGV), Faculdade de Veterinária, Universidade Federal de Pelotas, 96010-610, Pelotas, RS, Brazil
| | - J A A Rincon
- Facultad de Ciencias Agropecuarias, Universidad de La Salle, Yopal, Casanare 850008, Colombia
| | - J O Feijó
- NUPEEC (Núcleo de Pesquisa, Ensino e Extensão em Pecuária), Programa de Pós-Graduação em Veterinária (PPGV), Faculdade de Veterinária, Universidade Federal de Pelotas, 96010-610, Pelotas, RS, Brazil
| | - E N Dellagostin
- Laboratório de Genômica Estrutural, Programa de Pós-Graduação em Biotecnologia (PPGBio), Centro de Desenvolvimento Tecnológico (CDTec), Universidade Federal de Pelotas, 96010-610, Pelotas, RS, Brazil
| | - A W S Martins
- Laboratório de Genômica Estrutural, Programa de Pós-Graduação em Biotecnologia (PPGBio), Centro de Desenvolvimento Tecnológico (CDTec), Universidade Federal de Pelotas, 96010-610, Pelotas, RS, Brazil
| | - E B Blödorn
- Laboratório de Genômica Estrutural, Programa de Pós-Graduação em Biotecnologia (PPGBio), Centro de Desenvolvimento Tecnológico (CDTec), Universidade Federal de Pelotas, 96010-610, Pelotas, RS, Brazil
| | - W B Domingues
- Laboratório de Genômica Estrutural, Programa de Pós-Graduação em Biotecnologia (PPGBio), Centro de Desenvolvimento Tecnológico (CDTec), Universidade Federal de Pelotas, 96010-610, Pelotas, RS, Brazil
| | - F Lopes
- Adisseo Brasil Nutrição Animal, São Paulo, 05804-900, Brazil
| | | | - R G Mondadori
- NUPEEC (Núcleo de Pesquisa, Ensino e Extensão em Pecuária), Programa de Pós-Graduação em Veterinária (PPGV), Faculdade de Veterinária, Universidade Federal de Pelotas, 96010-610, Pelotas, RS, Brazil
| | - V F Campos
- Laboratório de Genômica Estrutural, Programa de Pós-Graduação em Biotecnologia (PPGBio), Centro de Desenvolvimento Tecnológico (CDTec), Universidade Federal de Pelotas, 96010-610, Pelotas, RS, Brazil
| | - V R Rabassa
- NUPEEC (Núcleo de Pesquisa, Ensino e Extensão em Pecuária), Programa de Pós-Graduação em Veterinária (PPGV), Faculdade de Veterinária, Universidade Federal de Pelotas, 96010-610, Pelotas, RS, Brazil
| | - E R Komninou
- NUPEEC (Núcleo de Pesquisa, Ensino e Extensão em Pecuária), Programa de Pós-Graduação em Veterinária (PPGV), Faculdade de Veterinária, Universidade Federal de Pelotas, 96010-610, Pelotas, RS, Brazil; Laboratório de Genômica Estrutural, Programa de Pós-Graduação em Biotecnologia (PPGBio), Centro de Desenvolvimento Tecnológico (CDTec), Universidade Federal de Pelotas, 96010-610, Pelotas, RS, Brazil
| | - F A B Delpino
- NUPEEC (Núcleo de Pesquisa, Ensino e Extensão em Pecuária), Programa de Pós-Graduação em Veterinária (PPGV), Faculdade de Veterinária, Universidade Federal de Pelotas, 96010-610, Pelotas, RS, Brazil
| | - M N Corrêa
- NUPEEC (Núcleo de Pesquisa, Ensino e Extensão em Pecuária), Programa de Pós-Graduação em Veterinária (PPGV), Faculdade de Veterinária, Universidade Federal de Pelotas, 96010-610, Pelotas, RS, Brazil
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5
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Hendricks G, Savona N, Aguiar A, Alaba O, Booley S, Malczyk S, Nwosu E, Knai C, Rutter H, Klepp KI, Harbron J. Adolescents' Perspectives on the Drivers of Obesity Using a Group Model Building Approach: A South African Perspective. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19042160. [PMID: 35206348 PMCID: PMC8871984 DOI: 10.3390/ijerph19042160] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Revised: 01/31/2022] [Accepted: 02/03/2022] [Indexed: 11/16/2022]
Abstract
Overweight and obesity increase the risk of a range of poor physiological and psychosocial health outcomes. Previous work with well-defined cohorts has explored the determinants of obesity and employed various methods and measures; however, less is known on the broader societal drivers, beyond individual-level influences, using a systems framework with adolescents. The aim of this study was to explore the drivers of obesity from adolescents' perspectives using a systems approach through group model building in four South African schools. Group model building was used to generate 4 causal loop diagrams with 62 adolescents aged 16-18 years. These maps were merged into one final map, and the main themes were identified: (i) physical activity and social media use; (ii) physical activity, health-related morbidity, and socio-economic status; (iii) accessibility of unhealthy food and energy intake/body weight; (iv) psychological distress, body weight, and weight-related bullying; and (v) parental involvement and unhealthy food intake. Our study identified meaningful policy-relevant insights into the drivers of adolescent obesity, as described by the young people themselves in a South African context. This approach, both the process of construction and the final visualization, provides a basis for taking a novel approach to prevention and intervention recommendations for adolescent obesity.
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Affiliation(s)
- Gaironeesa Hendricks
- Research Centre for Health through Physical Activity, Lifestyle & Sport, Division of Physio-Logical Sciences, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town 7925, South Africa; (S.B.); (S.M.); (E.N.); (J.H.)
- Correspondence:
| | - Natalie Savona
- Faculty of Public Health and Policy, London School of Hygiene & Tropical Medicine, London WC1E 7HT, UK; (N.S.); (C.K.)
| | - Anaely Aguiar
- System Dynamics Group, Department of Geography, University of Bergen, N-5020 Bergen, Norway;
| | - Olufunke Alaba
- Health Economics Division, School of Public Health and Family Medicine, University of Cape Town, Cape Town 7925, South Africa;
| | - Sharmilah Booley
- Research Centre for Health through Physical Activity, Lifestyle & Sport, Division of Physio-Logical Sciences, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town 7925, South Africa; (S.B.); (S.M.); (E.N.); (J.H.)
| | - Sonia Malczyk
- Research Centre for Health through Physical Activity, Lifestyle & Sport, Division of Physio-Logical Sciences, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town 7925, South Africa; (S.B.); (S.M.); (E.N.); (J.H.)
| | - Emmanuel Nwosu
- Research Centre for Health through Physical Activity, Lifestyle & Sport, Division of Physio-Logical Sciences, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town 7925, South Africa; (S.B.); (S.M.); (E.N.); (J.H.)
| | - Cecile Knai
- Faculty of Public Health and Policy, London School of Hygiene & Tropical Medicine, London WC1E 7HT, UK; (N.S.); (C.K.)
| | - Harry Rutter
- Department of Social and Policy Sciences, University of Bath, Bath BA2 7PJ, UK;
| | - Knut-Inge Klepp
- Division of Mental and Physical Health, Norwegian Institute of Public Health, N-0316 Oslo, Norway;
| | - Janetta Harbron
- Research Centre for Health through Physical Activity, Lifestyle & Sport, Division of Physio-Logical Sciences, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town 7925, South Africa; (S.B.); (S.M.); (E.N.); (J.H.)
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6
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Verhaar BJH, Hendriksen HMA, de Leeuw FA, Doorduijn AS, van Leeuwenstijn M, Teunissen CE, Barkhof F, Scheltens P, Kraaij R, van Duijn CM, Nieuwdorp M, Muller M, van der Flier WM. Gut Microbiota Composition Is Related to AD Pathology. Front Immunol 2022; 12:794519. [PMID: 35173707 PMCID: PMC8843078 DOI: 10.3389/fimmu.2021.794519] [Citation(s) in RCA: 78] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Accepted: 12/31/2021] [Indexed: 12/26/2022] Open
Abstract
Introduction Several studies have reported alterations in gut microbiota composition of Alzheimer's disease (AD) patients. However, the observed differences are not consistent across studies. We aimed to investigate associations between gut microbiota composition and AD biomarkers using machine learning models in patients with AD dementia, mild cognitive impairment (MCI) and subjective cognitive decline (SCD). Materials and Methods We included 170 patients from the Amsterdam Dementia Cohort, comprising 33 with AD dementia (66 ± 8 years, 46%F, mini-mental state examination (MMSE) 21[19-24]), 21 with MCI (64 ± 8 years, 43%F, MMSE 27[25-29]) and 116 with SCD (62 ± 8 years, 44%F, MMSE 29[28-30]). Fecal samples were collected and gut microbiome composition was determined using 16S rRNA sequencing. Biomarkers of AD included cerebrospinal fluid (CSF) amyloid-beta 1-42 (amyloid) and phosphorylated tau (p-tau), and MRI visual scores (medial temporal atrophy, global cortical atrophy, white matter hyperintensities). Associations between gut microbiota composition and dichotomized AD biomarkers were assessed with machine learning classification models. The two models with the highest area under the curve (AUC) were selected for logistic regression, to assess associations between the 20 best predicting microbes and the outcome measures from these machine learning models while adjusting for age, sex, BMI, diabetes, medication use, and MMSE. Results The machine learning prediction for amyloid and p-tau from microbiota composition performed best with AUCs of 0.64 and 0.63. Highest ranked microbes included several short chain fatty acid (SCFA)-producing species. Higher abundance of [Clostridium] leptum and lower abundance of [Eubacterium] ventriosum group spp., Lachnospiraceae spp., Marvinbryantia spp., Monoglobus spp., [Ruminococcus] torques group spp., Roseburia hominis, and Christensenellaceae R-7 spp., was associated with higher odds of amyloid positivity. We found associations between lower abundance of Lachnospiraceae spp., Lachnoclostridium spp., Roseburia hominis and Bilophila wadsworthia and higher odds of positive p-tau status. Conclusions Gut microbiota composition was associated with amyloid and p-tau status. We extend on recent studies that observed associations between SCFA levels and AD CSF biomarkers by showing that lower abundances of SCFA-producing microbes were associated with higher odds of positive amyloid and p-tau status.
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Affiliation(s)
- Barbara J. H. Verhaar
- Department of Internal Medicine - Geriatrics, Amsterdam Cardiovascular Sciences, Amsterdam University Medical Center (UMC), Amsterdam, Netherlands
- Department of Internal and Vascular Medicine, Amsterdam University Medical Center (UMC), Amsterdam, Netherlands
- Alzheimer Center, Department of Neurology, Amsterdam Neuroscience, Amsterdam University Medical Center (UMC), Amsterdam, Netherlands
| | - Heleen M. A. Hendriksen
- Alzheimer Center, Department of Neurology, Amsterdam Neuroscience, Amsterdam University Medical Center (UMC), Amsterdam, Netherlands
| | - Francisca A. de Leeuw
- Alzheimer Center, Department of Neurology, Amsterdam Neuroscience, Amsterdam University Medical Center (UMC), Amsterdam, Netherlands
| | - Astrid S. Doorduijn
- Alzheimer Center, Department of Neurology, Amsterdam Neuroscience, Amsterdam University Medical Center (UMC), Amsterdam, Netherlands
| | - Mardou van Leeuwenstijn
- Alzheimer Center, Department of Neurology, Amsterdam Neuroscience, Amsterdam University Medical Center (UMC), Amsterdam, Netherlands
| | - Charlotte E. Teunissen
- Department of Clinical Chemistry, Amsterdam University Medical Center (UMC), Amsterdam, Netherlands
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center (UMC), Amsterdam, Netherlands
- University College London (UCL) Institutes of Neurology, Faculty of Brain Sciences, London, United Kingdom
| | - Philip Scheltens
- Alzheimer Center, Department of Neurology, Amsterdam Neuroscience, Amsterdam University Medical Center (UMC), Amsterdam, Netherlands
| | - Robert Kraaij
- Department of Internal Medicine, Erasmus Medical Center (MC), Rotterdam, Netherlands
| | - Cornelia M. van Duijn
- Department of Epidemiology, Erasmus Medical Center (MC), Rotterdam, Netherlands
- Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Max Nieuwdorp
- Department of Internal and Vascular Medicine, Amsterdam University Medical Center (UMC), Amsterdam, Netherlands
| | - Majon Muller
- Department of Internal Medicine - Geriatrics, Amsterdam Cardiovascular Sciences, Amsterdam University Medical Center (UMC), Amsterdam, Netherlands
| | - Wiesje M. van der Flier
- Alzheimer Center, Department of Neurology, Amsterdam Neuroscience, Amsterdam University Medical Center (UMC), Amsterdam, Netherlands
- Department of Epidemiology and Data Science, Amsterdam University Medical Center (UMC), Vrije Universiteit Amsterdam, Amsterdam, Netherlands
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7
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Zhu Z, Huang R, Liu W, Wang J, Wu S, Chen M, Huang A, Xie Y, Chen M, Jiao C, Zhang J, Wu Q, Ding Y. Whole Agrocybe cylindracea Prevented Obesity Linking with Modification of Gut Microbiota and Associated Fecal Metabolites in High-Fat Diet-Fed Mice. Mol Nutr Food Res 2022; 66:e2100897. [PMID: 35092163 DOI: 10.1002/mnfr.202100897] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Revised: 12/18/2021] [Indexed: 11/09/2022]
Abstract
SCOPE Whole-food-based strategies to prevent metabolic diseases are growing interests. Agrocybe cylindracea (AC) is a major edible mushroom with high values of nutrition, but little is known about its health benefits as a portion of whole food. METHODS AND RESULTS Diet-induced obese, C57BL/6J mice were fed an HFD with or without AC (3% or 5%, w/w in the diet) for 9 weeks. The results showed that dietary AC reduced body weight, adipose accumulation, impairment of glucose tolerance, lipid levels, and liver injury in HFD-fed mice. Moreover, AC not only prevented HFD-induced gut disorder, as indicated by the enriched probiotic Bifidobacterium and reduced endotoxin-bearing Proteobacteria, but also improved the endotoxin (LPS) level and gut tissue structure. Fecal metabolites such as harmine and harmanine were also remarkably altered by AC. Spearman's correlation analysis revealed that the AC-altered microbes and metabolites were strongly correlated with obesity-related indexes. CONCLUSION These findings suggest that dietary AC prevents HFD-induced obesity and its complications in association with modulating gut microbiota and associated fecal metabolites. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Zhenjun Zhu
- Department of Food Science and Technology, Institute of Food Safety and Nutrition, College of Science & Engineering, Jinan University, Guangzhou, 510632, China
| | - Rui Huang
- Department of Food Science and Technology, Institute of Food Safety and Nutrition, College of Science & Engineering, Jinan University, Guangzhou, 510632, China.,Institute of Microbiology, Guangdong Academy of Sciences, State Key Laboratory of Applied Microbiology Southern China, Key Laboratory of Agricultural Microbiomics and Precision Application, Ministry of Agriculture and Rural Affairs, Guangzhou, 510070, China.,Guangdong Provincial Key Laboratory of Microbial Safety and Health, Guangzhou, 510070, China
| | - Wei Liu
- Department of Food Science and Technology, Institute of Food Safety and Nutrition, College of Science & Engineering, Jinan University, Guangzhou, 510632, China
| | - Juan Wang
- College of Food Science, South China Agricultural University, Guangzhou, 510642, China
| | - Shujian Wu
- Department of Food Science and Technology, Institute of Food Safety and Nutrition, College of Science & Engineering, Jinan University, Guangzhou, 510632, China.,Institute of Microbiology, Guangdong Academy of Sciences, State Key Laboratory of Applied Microbiology Southern China, Key Laboratory of Agricultural Microbiomics and Precision Application, Ministry of Agriculture and Rural Affairs, Guangzhou, 510070, China.,Guangdong Provincial Key Laboratory of Microbial Safety and Health, Guangzhou, 510070, China
| | - Mengfei Chen
- Department of Food Science and Technology, Institute of Food Safety and Nutrition, College of Science & Engineering, Jinan University, Guangzhou, 510632, China.,Institute of Microbiology, Guangdong Academy of Sciences, State Key Laboratory of Applied Microbiology Southern China, Key Laboratory of Agricultural Microbiomics and Precision Application, Ministry of Agriculture and Rural Affairs, Guangzhou, 510070, China.,Guangdong Provincial Key Laboratory of Microbial Safety and Health, Guangzhou, 510070, China
| | - Aohuan Huang
- Department of Food Science and Technology, Institute of Food Safety and Nutrition, College of Science & Engineering, Jinan University, Guangzhou, 510632, China.,Institute of Microbiology, Guangdong Academy of Sciences, State Key Laboratory of Applied Microbiology Southern China, Key Laboratory of Agricultural Microbiomics and Precision Application, Ministry of Agriculture and Rural Affairs, Guangzhou, 510070, China.,Guangdong Provincial Key Laboratory of Microbial Safety and Health, Guangzhou, 510070, China
| | - Yizhen Xie
- Guangdong Yuewei Edible Fungi Technology Co., Ltd., Guangzhou, 510663, China
| | - Moutong Chen
- Institute of Microbiology, Guangdong Academy of Sciences, State Key Laboratory of Applied Microbiology Southern China, Key Laboratory of Agricultural Microbiomics and Precision Application, Ministry of Agriculture and Rural Affairs, Guangzhou, 510070, China.,Guangdong Provincial Key Laboratory of Microbial Safety and Health, Guangzhou, 510070, China
| | - Chunwei Jiao
- Guangdong Yuewei Edible Fungi Technology Co., Ltd., Guangzhou, 510663, China
| | - Jumei Zhang
- Institute of Microbiology, Guangdong Academy of Sciences, State Key Laboratory of Applied Microbiology Southern China, Key Laboratory of Agricultural Microbiomics and Precision Application, Ministry of Agriculture and Rural Affairs, Guangzhou, 510070, China.,Guangdong Provincial Key Laboratory of Microbial Safety and Health, Guangzhou, 510070, China
| | - Qingping Wu
- Institute of Microbiology, Guangdong Academy of Sciences, State Key Laboratory of Applied Microbiology Southern China, Key Laboratory of Agricultural Microbiomics and Precision Application, Ministry of Agriculture and Rural Affairs, Guangzhou, 510070, China.,Guangdong Provincial Key Laboratory of Microbial Safety and Health, Guangzhou, 510070, China
| | - Yu Ding
- Department of Food Science and Technology, Institute of Food Safety and Nutrition, College of Science & Engineering, Jinan University, Guangzhou, 510632, China.,Institute of Microbiology, Guangdong Academy of Sciences, State Key Laboratory of Applied Microbiology Southern China, Key Laboratory of Agricultural Microbiomics and Precision Application, Ministry of Agriculture and Rural Affairs, Guangzhou, 510070, China.,Guangdong Provincial Key Laboratory of Microbial Safety and Health, Guangzhou, 510070, China
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8
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Zhang J, Zhang Y, Yuan Y, Liu L, Zhao Y, Wang X. Gut Microbiota Alteration Is Associated With Cognitive Deficits in Genetically Diabetic (Db/db) Mice During Aging. Front Aging Neurosci 2022; 13:815562. [PMID: 35153726 PMCID: PMC8826473 DOI: 10.3389/fnagi.2021.815562] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Accepted: 12/15/2021] [Indexed: 12/13/2022] Open
Abstract
Recent studies have revealed that the microbiota may be implicated in diabetes-related cognitive dysfunction. However, the relationship between gut microbiota and cognitive dysfunction during the progression of type 2 diabetes remains elusive. We used 16S rRNA sequencing combined with conventional behavioral tests to explore the longitudinal changes of gut microbiota and cognition in diabetic db/db mice (leptin receptor knockout mice) and their wild-type littermates at different ages. Prussian blue staining was performed to detect the microhemorrhage in the brain, and immunofluorescent study was applied to analyze microglia activation. Moreover, a Meso Scale Discovery kit was used to determine the cytokine levels in the brain. Db/db mice exhibited age dependent pathological characteristics, including cognitive deficits, neuron damage, spontaneous hemorrhages and neuroinflammation. Furthermore, we observed that the diversity and composition of gut microbiota significantly differed between the wild-type and db/db mice during aging. We found that compared to age-matched wild-type mice, genus Helicobacter was significant higher in db/db mice at 18 and 26 weeks. Correlation analysis revealed that Helicobacter is positively associated with Iba-1 positive cells and TNF-α expression. Collectively, our longitudinal study suggests that diabetic cognitive impairment during aging is associated with abnormal gut microbiota composition, which may play a role in the regulation of neuroinflammation.
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9
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Hua M, Fan M, Li Z, Sha J, Li S, Sun Y. Ginseng soluble dietary fiber can regulate the intestinal flora structure, promote colon health, affect appetite and glucolipid metabolism in rats. J Funct Foods 2021. [DOI: 10.1016/j.jff.2021.104534] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023] Open
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10
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Petrillo G, Tavani C, Bianchi L, Benzi A, Cavalluzzi MM, Salvagno L, Quintieri L, De Palma A, Caputo L, Rosato A, Lentini G. Densely Functionalized 2-Methylideneazetidines: Evaluation as Antibacterials. Molecules 2021; 26:3891. [PMID: 34202191 PMCID: PMC8271477 DOI: 10.3390/molecules26133891] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Revised: 06/21/2021] [Accepted: 06/22/2021] [Indexed: 01/27/2023] Open
Abstract
Twenty-two novel, variously substituted nitroazetidines were designed as both sulfonamide and urethane vinylogs possibly endowed with antimicrobial activity. The compounds under study were obtained following a general procedure recently developed, starting from 4-nitropentadienoates deriving from a common β-nitrothiophenic precursor. While being devoid of any activity against fungi and Gram-negative bacteria, most of the title compounds performed as potent antibacterial agents on Gram-positive bacteria (E. faecalis and three strains of S. aureus), with the most potent congener being the 1-(4-chlorobenzyl)-3-nitro-4-(p-tolyl)azetidine 22, which displayed potency close to that of norfloxacin, the reference antibiotic (minimum inhibitory concentration values 4 and 1-2 μg/mL, respectively). Since 22 combines a relatively efficient activity against Gram-positive bacteria and a cytotoxicity on eucharyotic cells only at 4-times higher concentrations (inhibiting concentration on 50% of the cultured eukaryotic cells: 36 ± 10 μM, MIC: 8.6 μM), it may be considered as a promising hit compound for the development of a new series of antibacterials selectively active on Gram-positive pathogens. The relatively concise synthetic route described herein, based on widely available starting materials, could feed further structure-activity relationship studies, thus allowing for the fine investigation and optimization of the toxico-pharmacological profile.
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Affiliation(s)
- Giovanni Petrillo
- Department of Chemistry and Industrial Chemistry, University of Genoa, Via Dodecaneso 31, I-16146 Genoa, Italy; (C.T.); (L.B.); (A.B.)
| | - Cinzia Tavani
- Department of Chemistry and Industrial Chemistry, University of Genoa, Via Dodecaneso 31, I-16146 Genoa, Italy; (C.T.); (L.B.); (A.B.)
| | - Lara Bianchi
- Department of Chemistry and Industrial Chemistry, University of Genoa, Via Dodecaneso 31, I-16146 Genoa, Italy; (C.T.); (L.B.); (A.B.)
| | - Alice Benzi
- Department of Chemistry and Industrial Chemistry, University of Genoa, Via Dodecaneso 31, I-16146 Genoa, Italy; (C.T.); (L.B.); (A.B.)
| | - Maria Maddalena Cavalluzzi
- Department of Pharmacy–Pharmaceutical Sciences, University of Bari Aldo Moro, Via E. Orabona n. 4, 70126 Bari, Italy; (M.M.C.); (L.S.); (A.R.); (G.L.)
| | - Lara Salvagno
- Department of Pharmacy–Pharmaceutical Sciences, University of Bari Aldo Moro, Via E. Orabona n. 4, 70126 Bari, Italy; (M.M.C.); (L.S.); (A.R.); (G.L.)
| | - Laura Quintieri
- Institute of Sciences of Food Production (CNR-ISPA) National Council of Research, Via G. Amendola, 122/O, 70126 Bari, Italy; (L.Q.); (L.C.)
| | - Annalisa De Palma
- Department of Biosciences, Biotechnologies, and Biopharmaceutics, University of Bari Aldo Moro, Via E. Orabona 4, 70126 Bari, Italy;
| | - Leonardo Caputo
- Institute of Sciences of Food Production (CNR-ISPA) National Council of Research, Via G. Amendola, 122/O, 70126 Bari, Italy; (L.Q.); (L.C.)
| | - Antonio Rosato
- Department of Pharmacy–Pharmaceutical Sciences, University of Bari Aldo Moro, Via E. Orabona n. 4, 70126 Bari, Italy; (M.M.C.); (L.S.); (A.R.); (G.L.)
| | - Giovanni Lentini
- Department of Pharmacy–Pharmaceutical Sciences, University of Bari Aldo Moro, Via E. Orabona n. 4, 70126 Bari, Italy; (M.M.C.); (L.S.); (A.R.); (G.L.)
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11
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Microbial colonization of the gastrointestinal tract of dairy calves - a review of its importance and relationship to health and performance. Anim Health Res Rev 2021; 22:97-108. [PMID: 34132191 DOI: 10.1017/s1466252321000062] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
This review aims to explain how microbial colonization of the gastrointestinal tract (GIT) in young dairy calves is related to health and, consequently, to the performance of these animals. The review addresses everything from the fundamental aspects of microbial colonization to the current understanding about the microbiota manipulation to improve performance in adult animals. The ruminal microbiota is the most studied, mainly due to the high interest in the fermentative aspects, the production of short-chain fatty acids, and microbial proteins, and its effects on animal production. However, in recent years, the intestinal microbiota has gained space between studies, mainly due to the relationship to the host health and how it affects performance. Understanding how the GIT's microbiota looks like and how it is colonized may allow future studies to predict the best timing for dietary interventions as a way to manipulate it and, consequently, improve the health and performance of young ruminants.
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12
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Methiwala HN, Vaidya B, Addanki VK, Bishnoi M, Sharma SS, Kondepudi KK. Gut microbiota in mental health and depression: role of pre/pro/synbiotics in their modulation. Food Funct 2021; 12:4284-4314. [PMID: 33955443 DOI: 10.1039/d0fo02855j] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
The microbiome residing in the human gut performs a wide range of biological functions. Recently, it has been elucidated that a change in dietary habits is associated with alteration in the gut microflora which results in increased health risks and vulnerability towards various diseases. Falling in line with the same concept, depression has also been shown to increase its prevalence around the globe, especially in the western world. Various research studies have suggested that changes in the gut microbiome profile further result in decreased tolerance of stress. Although currently available medications help in relieving the symptoms of depressive disorders briefly, these drugs are not able to completely reverse the multifactorial pathology of depression. The discovery of the communication pathway between gut microbes and the brain, i.e. the Gut-Brain Axis, has led to new areas of research to find more effective and safer alternatives to current antidepressants. The use of probiotics and prebiotics has been suggested as being effective in various preclinical studies and clinical trials for depression. Therefore, in the present review, we address the new antidepressant mechanisms via gut microbe alterations and provide insight into how these can provide an alternative to antidepressant therapy without the side effects and risk of adverse drug reactions.
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Affiliation(s)
- Hasnain N Methiwala
- Department of Pharmacology and Toxicology, National Institute of Pharmaceutical Education and Research (NIPER), Sector 67, S.A.S. Nagar, Punjab, India.
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13
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Zawada A, Rychter AM, Ratajczak AE, Lisiecka-Masian A, Dobrowolska A, Krela-Kaźmierczak I. Does Gut-Microbiome Interaction Protect against Obesity and Obesity-Associated Metabolic Disorders? Microorganisms 2020; 9:microorganisms9010018. [PMID: 33374597 PMCID: PMC7822472 DOI: 10.3390/microorganisms9010018] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Revised: 12/15/2020] [Accepted: 12/21/2020] [Indexed: 02/06/2023] Open
Abstract
More research has recently focused on the role of the gut microbiota in the development or course of numerous diseases, including non-communicable diseases. As obesity remains prevalent, the question arises as to what microbial changes are associated with increased obesity prevalence and what kind of prevention and treatment approaches it could provide. Moreover, the influence of the gut-brain axis on obesity is also crucial, since it can affect metabolism and food intake. The quantitative and qualitative changes in the microbiota composition are called dysbiosis; however, in view of the current knowledge, it is difficult to conclude which microbial imbalances are adverse or beneficial. Increased numbers of pathological microorganisms were observed among patients with obesity and comorbidities associated with it, such as diabetes, cardiovascular disease, and insulin resistance. Our review provides current knowledge regarding changes in the intestinal microbiota associated with obesity and obesity-associated comorbidities. Nevertheless, given that dietary patterns and nutrients are two of the factors affecting the intestinal microbiota, we also discuss the role of different dietary approaches, vitamins, and minerals in the shaping of the intestinal microbiota.
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14
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Zhu Y, Huan F, Wang J, Xie X, Yu G, Wang X, Jiang L, Gao R, Xiao H, Ding H, Wang J. 1-Methyl-4-phenyl-1,2,3,6-tetrahydropyridine Induced Parkinson's Disease in Mouse: Potential Association between Neurotransmitter Disturbance and Gut Microbiota Dysbiosis. ACS Chem Neurosci 2020; 11:3366-3376. [PMID: 32926778 DOI: 10.1021/acschemneuro.0c00475] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
Recent studies have revealed significant roles of neurotransmitters and gut microbiota along the gut-brain axis in Parkinson's disease (PD); however, the potential mechanisms remain poorly understood. In the current study, 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) induced characteristic PD neurobehavior changes accompanied by increased α-synuclein, apoptotic protein Bim, and cleaved caspase-3 and decreased expression of tyrosine hydroxylase (TH). Meanwhile, the tryptophan (Trp) and tyrosine (Tyr) neurotransmitter metabolites involving kynurenine (KYN), serotonin (5-HT), and dopamine (DA) pathways were significantly changed in serum. Furthermore, the step-limited enzymes, which are responsible for the key metabolic pathways of these neurotransmitters, were obviously dysregulated. The 16S rRNA gene sequence results indicated that the abundance and diversity of the microbiota were obviously decreased in MPTP-treated mice, the presence of Ruminococcus, Parabacteroides and Parasutterella genera were obviously increased, while Coriobacteriaceae, Flavonifractor, Lachnospiraceae, Lactobacillaceae, and Rikenellaceae abundance was markedly decreased. The connectivity between the gut microbiota and neurotransmitter metabolism revealed that the gut microbiota dysbiosis was associated with disturbance of the DA, KYN, and 5-HT metabolic pathways. Therefore, our results provide evidence that gut-microbiota-brain axis disturbance may play an important role in PD development and targeting this axis might provide a promising therapeutic strategy for PD.
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Affiliation(s)
- Yuanhui Zhu
- Key Lab of Modern Toxicology, Ministry of Education, and Department of Toxicology, School of Public Health, Nanjing Medical University, 818 Tianyuan East Road, Nanjing, Jiangsu 211166, China
| | - Fei Huan
- Key Lab of Modern Toxicology, Ministry of Education, and Department of Toxicology, School of Public Health, Nanjing Medical University, 818 Tianyuan East Road, Nanjing, Jiangsu 211166, China
| | - Junfeng Wang
- Key Lab of Modern Toxicology, Ministry of Education, and Department of Toxicology, School of Public Health, Nanjing Medical University, 818 Tianyuan East Road, Nanjing, Jiangsu 211166, China
| | - Xuexue Xie
- Key Lab of Modern Toxicology, Ministry of Education, and Department of Toxicology, School of Public Health, Nanjing Medical University, 818 Tianyuan East Road, Nanjing, Jiangsu 211166, China
| | - Guoqin Yu
- Key Lab of Modern Toxicology, Ministry of Education, and Department of Toxicology, School of Public Health, Nanjing Medical University, 818 Tianyuan East Road, Nanjing, Jiangsu 211166, China
| | - Xi Wang
- Key Lab of Modern Toxicology, Ministry of Education, and Department of Toxicology, School of Public Health, Nanjing Medical University, 818 Tianyuan East Road, Nanjing, Jiangsu 211166, China
| | - Lei Jiang
- Department of Emergency Medicine, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, Jiangsu 210029, China
| | - Rong Gao
- Department of Hygienic Analysis and Detection, School of Public Health, Nanjing Medical University, 818 Tianyuan East Road, Nanjing, Jiangsu 211166, China
| | - Hang Xiao
- Key Lab of Modern Toxicology, Ministry of Education, and Department of Toxicology, School of Public Health, Nanjing Medical University, 818 Tianyuan East Road, Nanjing, Jiangsu 211166, China
| | - Haixia Ding
- The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, Jiangsu 210029, China
| | - Jun Wang
- Key Lab of Modern Toxicology, Ministry of Education, and Department of Toxicology, School of Public Health, Nanjing Medical University, 818 Tianyuan East Road, Nanjing, Jiangsu 211166, China
- China International Cooperation Centre for Environment and Human Health, Nanjing Medical University, 818 Tianyuan East Road, Nanjing, Jiangsu 211166, China
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