Characteristics of the intestinal bacterial microbiota profiles in Bifidobacterium pseudocatenulatum LI09 pre-treated rats with D-galactosamine-induced liver injury.


Journal

World journal of microbiology & biotechnology
ISSN: 1573-0972
Titre abrégé: World J Microbiol Biotechnol
Pays: Germany
ID NLM: 9012472

Informations de publication

Date de publication:
15 Dec 2022
Historique:
received: 27 12 2021
accepted: 09 12 2022
entrez: 15 12 2022
pubmed: 16 12 2022
medline: 20 12 2022
Statut: epublish

Résumé

Bifidobacterium pseudocatenulatum LI09 could prevent D-galactosamine-induced liver injury. Our previous study has preliminarily determined that different intestinal microbiota profiles existed in the LI09-treated rats. Due to the sample size limitation, some subsequent analyses could not be achieved. In the current study, we conducted different experiments and bioinformatic analyses to characterise the distinct intestinal bacterial microbiota profiles in the LI09-treated rats with liver injury (i.e., LI09 group). Partition around medoids clustering analysis determined two intestinal microbiota profiles (i.e., Cluster_1_LI09 and Cluster_2_LI09) in LI09 group. Compared with Cluster_2_LI09, Cluster_1_LI09 group was determined at less dysbiotic microbial status and with lower level of liver injury. The two microbiota profiles were determined with distinct representative amplicon sequence variants (ASVs), among which, ASV1_Akkermansia and ASV3_Bacteroides were most associated with Cluster_1_LI09 and Cluster_2_LI09, respectively. Multiple representative phylotypes in Cluster_1_LI09 negatively correlating with liver function variables were assigned to Parabacteroides, suggesting Parabacteroides could benefit LI09 on modulating the liver function. In addition, ASV310_Lachnospiraceae, ASV501_Muribaculaceae and ASV484_Lachnospiraceae were determined as network gatekeepers in Cluster_1_LI09 network. The relevant results suggest that some intestinal bacteria could assist LI09 in lowering the intestinal microbial dysbiosis in the rats with liver injury, and their clinical application deserves further investigation.

Identifiants

pubmed: 36520300
doi: 10.1007/s11274-022-03495-y
pii: 10.1007/s11274-022-03495-y
doi:

Substances chimiques

Galactosamine 7535-00-4

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

43

Subventions

Organisme : National Natural Science Foundation of China
ID : 82003441
Organisme : National Natural Science Foundation of China
ID : 81790631
Organisme : The Independent Task of State Key Laboratory for Diagnosis and Treatment of Infectious Diseases
ID : 2021ZZ15
Organisme : National Key Research and Development Program of China
ID : 2018YFC2000500

Informations de copyright

© 2022. The Author(s), under exclusive licence to Springer Nature B.V.

Références

Araújo MPd, Burger E, Dias Novaes R, Ami Akatuti A, Rodrigues M, Mendes ACSC, Bani GMdC, Cardoso Santos E, Santos Mendonca AA, Martins Souza RL (2019) Impact of paracoccidioides brasiliensis coinfection on the evolution of schistosoma mansoni-induced granulomatous liver injury in mice. Biomed Res Int 2019:8319465. https://doi.org/10.1155/2019/8319465
doi: 10.1155/2019/8319465
Azarang A, Farshad O, Ommati MM, Jamshidzadeh A, Heidari R, Abootalebi SN, Gholami A (2020) Protective role of probiotic supplements in hepatic steatosis: a rat model study. Biomed Res Int 2020:5487659. https://doi.org/10.1155/2020/5487659
doi: 10.1155/2020/5487659
Bajaj JS, Heuman DM, Hylemon PB, Sanyal AJ, White MB, Monteith P, Noble NA, Unser AB, Daita K, Fisher AR (2014) Altered profile of human gut microbiome is associated with cirrhosis and its complications. J Hepatol 60(5):940–947. https://doi.org/10.1016/j.jhep.2013.12.019
doi: 10.1016/j.jhep.2013.12.019
Bolyen E, Rideout JR, Dillon MR, Bokulich NA, Abnet CC, Al-Ghalith GA, Alexander H, Alm EJ, Arumugam M, Asnicar F (2019) Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2. Nat Biotechnol 37(8):852–857. https://doi.org/10.1038/s41587-019-0209-9
doi: 10.1038/s41587-019-0209-9
Callahan BJ, McMurdie PJ, Rosen MJ, Han AW, Johnson AJA, Holmes SP (2016) DADA2: high-resolution sample inference from Illumina amplicon data. Nat Methods 13(7):581–583. https://doi.org/10.1038/nmeth.3869
doi: 10.1038/nmeth.3869
Chen T, Gao J, Xiang P, Chen Y, Ji J, Xie P, Wu H, Xiao W, Wei Y, Wang S (2015) Protective effect of platycodin D on liver injury in alloxan-induced diabetic mice via regulation of Treg/Th17 balance. Int Immunopharmacol 26(2):338–348. https://doi.org/10.1016/j.intimp.2015.04.001
doi: 10.1016/j.intimp.2015.04.001
Chen T, Li R, Chen P (2021) Gut microbiota and Chemical-Induced Acute Liver Injury. Front Physiol 12:753. https://doi.org/10.3389/fphys.2021.688780
doi: 10.3389/fphys.2021.688780
Chen Y, Guo J, Qian G, Fang D, Shi D, Guo L, Li L (2015) Gut dysbiosis in acute-on‐chronic liver failure and its predictive value for mortality. J Gastroenterol Hepatol 30(9):1429–1437. https://doi.org/10.1111/jgh.12932
doi: 10.1111/jgh.12932
Chen Z-R, Jin S-F, Ma W-B, Jiang R-L (2021) Intestinal microecology: a crucial strategy for targeted therapy of liver diseases. Hepatobiliary Pancreat Dis Int 20(5):499–500. https://doi.org/10.1016/j.hbpd.2021.07.007
doi: 10.1016/j.hbpd.2021.07.007
DiGiulio DB, Callahan BJ, McMurdie PJ, Costello EK, Lyell DJ, Robaczewska A, Sun CL, Goltsman DS, Wong RJ, Shaw G (2015) Temporal and spatial variation of the human microbiota during pregnancy. Proc Natl Acad Sci USA 112(35):11060–11065. https://doi.org/10.1073/pnas.1502875112
doi: 10.1073/pnas.1502875112
Dong X, Feng X, Liu J, Xu Y, Pan Q, Ling Z, Yu J, Yang J, Li L, Cao H (2019) Characteristics of intestinal microecology during mesenchymal stem cell-based therapy for mouse acute liver injury. Stem Cells International 2019:2403793. https://doi.org/10.1155/2019/2403793
doi: 10.1155/2019/2403793
Fang D, Shi D, Lv L, Gu S, Wu W, Chen Y, Guo J, Li A, Hu X, Guo F (2017) Bifidobacterium pseudocatenulatum LI09 and Bifidobacterium catenulatum LI10 attenuate D-galactosamine-induced liver injury by modifying the gut microbiota. Sci Rep 7(1):1–13. https://doi.org/10.1038/s41598-017-09395-8
doi: 10.1038/s41598-017-09395-8
He C, Wang H, Liao W-D, Peng C, Shu X, Zhu X, Zhu Z-H (2019) Characteristics of mucosa-associated gut microbiota during treatment in Crohn’s disease. World J Gastroenterol 25(18):2204. https://doi.org/10.3748/wjg.v25.i18.2204
doi: 10.3748/wjg.v25.i18.2204
Ishak K (1995) Histological grading and staging of chronic hepatitis. J Hepatol 22:696–699. https://doi.org/10.1016/0168-8278(95)80226-6
doi: 10.1016/0168-8278(95)80226-6
Kakisaka K, Suzuki Y, Jinnouchi Y, Kanazawa J, Sasaki T, Yonezawa T, Yoshida Y, Kuroda H, Takikawa Y (2019) Unfavorable prognosis of patients with acute liver injury due to drug-induced liver injury and acute exacerbation of hepatitis B virus infection. Hepatol Res 49(11):1286–1293. https://doi.org/10.1111/hepr.13397
doi: 10.1111/hepr.13397
Kanmani P, Kim H (2018) Protective effects of lactic acid bacteria against TLR4 induced inflammatory response in hepatoma HepG2 cells through modulation of toll-like receptor negative regulators of mitogen-activated protein kinase and NF-κB signaling. Front Immunol 9:1537. https://doi.org/10.3389/fimmu.2018.01537
doi: 10.3389/fimmu.2018.01537
Kim HS, Whon TW, Sung H, Jeong Y-S, Jung ES, Shin N-R, Hyun D-W, Kim PS, Lee J-Y, Lee CH (2021) Longitudinal evaluation of fecal microbiota transplantation for ameliorating calf diarrhea and improving growth performance. Nat Commun 12(1):1–16. https://doi.org/10.1038/s41467-020-20389-5
doi: 10.1038/s41467-020-20389-5
Lee KS, Palatinszky M, Pereira FC, Nguyen J, Fernandez VI, Mueller AJ, Menolascina F, Daims H, Berry D, Wagner M (2019) An automated raman-based platform for the sorting of live cells by functional properties. Nat Microbiol 4(6):1035–1048. https://doi.org/10.1038/s41564-019-0394-9
doi: 10.1038/s41564-019-0394-9
Lee S-H, Yoon S-H, Jung Y, Kim N, Min U, Chun J, Choi I (2020) Emotional well-being and gut microbiome profiles by enterotype. Sci Rep 10(1):1–9. https://doi.org/10.1038/s41598-020-77673-z
doi: 10.1038/s41598-020-77673-z
Li L, Duan C, Zhao Y, Zhang X, Yin H, Wang T, Huang C, Liu S, Yang S, Li X (2017) Preventive effects of interleukin-6 in lipopolysaccharide/d-galactosamine induced acute liver injury via regulating inflammatory response in hepatic macrophages. Int Immunopharmacol 51:99–106. https://doi.org/10.1016/j.intimp.2017.08.009
doi: 10.1016/j.intimp.2017.08.009
Lu Y, Chen J, Zheng J, Hu G, Wang J, Huang C, Lou L, Wang X, Zeng Y (2016) Mucosal adherent bacterial dysbiosis in patients with colorectal adenomas. Sci Rep 6(1):1–10. https://doi.org/10.1038/srep26337
doi: 10.1038/srep26337
Ma N, Qi Y, Liang X, Bai J, Deng J, Li M, He Z (2021) Compare the effect of inhaled corticosteroids and systemic corticosteroids on sputum microbiome of AECOPD. Front Med 8:134. https://doi.org/10.3389/fmed.2021.637246
doi: 10.3389/fmed.2021.637246
Ndeh D, Gilbert HJ (2018) Biochemistry of complex glycan depolymerisation by the human gut microbiota. FEMS Microbiol Rev 42(2):146–164. https://doi.org/10.1093/femsre/fuy002
doi: 10.1093/femsre/fuy002
Ommati MM, Li H, Jamshidzadeh A, Khoshghadam F, Retana-Márquez S, Lu Y, Farshad O, Nategh Ahmadi MH, Gholami A, Heidari R (2022) The crucial role of oxidative stress in non-alcoholic fatty liver disease-induced male reproductive toxicity: the ameliorative effects of iranian indigenous probiotics. Naunyn-Schmiedeberg’s. Arch Pharmacol 395(2):247–265. https://doi.org/10.1007/s00210-021-02177-0
doi: 10.1007/s00210-021-02177-0
Ondee T, Pongpirul K, Visitchanakun P, Saisorn W, Kanacharoen S, Wongsaroj L, Kullapanich C, Ngamwongsatit N, Settachaimongkon S, Somboonna N (2021) Lactobacillus acidophilus LA5 improves saturated fat-induced obesity mouse model through the enhanced intestinal Akkermansia muciniphila. Sci Rep 11(1):1–16. https://doi.org/10.1038/s41598-021-85449-2
doi: 10.1038/s41598-021-85449-2
Shinozawa T, Kimura M, Cai Y, Saiki N, Yoneyama Y, Ouchi R, Koike H, Maezawa M, Zhang R-R, Dunn A (2021) High-fidelity drug-induced liver injury screen using human pluripotent stem cell–derived organoids. Gastroenterology 160(3):831–846. https://doi.org/10.1053/j.gastro.2020.10.002
doi: 10.1053/j.gastro.2020.10.002
Shteyer E, Ya’acov AB, Zolotaryova L, Sinai A, Slae M, Cohen S, Ilan Y (2019) Prevention of acetaminophen-induced liver injury by alginate. Toxicol Appl Pharmacol 363:72–78. https://doi.org/10.1016/j.taap.2018.11.008
doi: 10.1016/j.taap.2018.11.008
Stokholm J, Blaser MJ, Thorsen J, Rasmussen MA, Waage J, Vinding RK, Schoos A-MM, Kunøe A, Fink NR, Chawes BL (2018) Maturation of the gut microbiome and risk of asthma in childhood. Nat Commun 9(1):1–10. https://doi.org/10.1038/s41467-017-02573-2
doi: 10.1038/s41467-017-02573-2
Sun J, Zhao F, Lin B, Feng J, Wu X, Liu Y, Zhao L, Zhu B, Wei Y (2020) Gut microbiota participates in antithyroid drug induced liver injury through the lipopolysaccharide related signaling pathway. Front Pharmacol 11:2094. https://doi.org/10.3389/fphar.2020.598170
doi: 10.3389/fphar.2020.598170
Tango CN, Seo S-S, Kwon M, Lee D-O, Chang HK, Kim MK (2020) Taxonomic and functional differences in cervical microbiome associated with cervical cancer development. Sci Rep 10(1):1–10. https://doi.org/10.1038/s41598-020-66607-4
doi: 10.1038/s41598-020-66607-4
Thiele M, Detlefsen S, Møller LS, Madsen BS, Hansen JF, Fialla AD, Trebicka J, Krag A (2016) Transient and 2-dimensional shear-wave elastography provide comparable assessment of alcoholic liver fibrosis and cirrhosis. Gastroenterology 150(1):123–133. https://doi.org/10.1053/j.gastro.2015.09.040
doi: 10.1053/j.gastro.2015.09.040
Vega M, Verma M, Beswick D, Bey S, Hossack J, Merriman N, Shah A, Navarro V (2017) The incidence of drug-and herbal and dietary supplement-induced liver injury: preliminary findings from gastroenterologist-based surveillance in the population of the state of Delaware. Drug Saf 40(9):783–787. https://doi.org/10.1007/s40264-017-0547-9
doi: 10.1007/s40264-017-0547-9
Wagner Mackenzie B, Waite DW, Hoggard M, Douglas RG, Taylor MW, Biswas K (2017) Bacterial community collapse: a meta-analysis of the sinonasal microbiota in chronic rhinosinusitis. Environ Microbiol 19(1):381–392. https://doi.org/10.1111/1462-2920.13632
doi: 10.1111/1462-2920.13632
Wang G, Pan R, Liang X, Wu X, Wu Y, Zhang H, Zhao J, Chen W (2021) Perfluorooctanoic acid-induced liver injury is potentially associated with gut microbiota dysbiosis. Chemosphere 266:129004. https://doi.org/10.1016/j.chemosphere.2020.129004
doi: 10.1016/j.chemosphere.2020.129004
Wang K, Liao M, Zhou N, Bao L, Ma K, Zheng Z, Wang Y, Liu C, Wang W, Wang J (2019) Parabacteroides distasonis alleviates obesity and metabolic dysfunctions via production of succinate and secondary bile acids. Cell Rep 26(1):222–235. https://doi.org/10.1016/j.celrep.2018.12.028
doi: 10.1016/j.celrep.2018.12.028
Wang Q, Lv L, Jiang H, Wang K, Yan R, Li Y, Ye J, Wu J, Wang Q, Bian X (2019) Lactobacillus helveticus R0052 alleviates liver injury by modulating gut microbiome and metabolome in d-galactosamine-treated rats. Appl Microbiol Biotechnol 103(23):9673–9686. https://doi.org/10.1007/s00253-019-10211-8
doi: 10.1007/s00253-019-10211-8
Wang Y, Wu Y, Wang B, Xu H, Mei X, Xu X, Zhang X, Ni J, Li W (2019) Bacillus amyloliquefaciens SC06 protects mice against high-fat diet-induced obesity and liver injury via regulating host metabolism and gut microbiota. Front Microbiol 10:1161. https://doi.org/10.3389/fmicb.2019.01161
doi: 10.3389/fmicb.2019.01161
Wu T-R, Lin C-S, Chang C-J, Lin T-L, Martel J, Ko Y-F, Ojcius DM, Lu C-C, Young JD, Lai H-C (2019) Gut commensal Parabacteroides goldsteinii plays a predominant role in the anti-obesity effects of polysaccharides isolated from Hirsutella sinensis. Gut 68(2):248–262. https://doi.org/10.1136/gutjnl-2017-315458
doi: 10.1136/gutjnl-2017-315458
Yan R, Wang K, Wang Q, Jiang H, Lu Y, Chen X, Zhang H, Su X, Du Y, Chen L (2021) Probiotic Lactobacillus casei Shirota prevents acute liver injury by reshaping the gut microbiota to alleviate excessive inflammation and metabolic disorders. Microb Biotechnol 0(0):1–15. https://doi.org/10.1111/1751-7915.13750
doi: 10.1111/1751-7915.13750
Yang H, Cai R, Kong Z, Chen Y, Cheng C, Qi S, Gu B (2020) Teasaponin ameliorates murine colitis by regulating gut microbiota and suppressing the immune system response. Front Med 7:950. https://doi.org/10.3389/fmed.2020.584369
doi: 10.3389/fmed.2020.584369
Yu L, Wang L, Wu X, Yi H (2021) RSPO4-CRISPR alleviates liver injury and restores gut microbiota in a rat model of liver fibrosis. Commun Biol 4(1):1–11. https://doi.org/10.1038/s42003-021-01747-5
doi: 10.1038/s42003-021-01747-5
Yu L, Zhao X-k, Cheng M-l, Yang G-z, Wang B, Liu H-j, Hu Y-x, Zhu L-l, Zhang S, Xiao Z-w (2017) Saccharomyces boulardii administration changes gut microbiota and attenuates D-galactosamine-induced liver injury. Sci Rep 7(1):1–7. https://doi.org/10.1038/s41598-017-01271-9
doi: 10.1038/s41598-017-01271-9
Zha H, Chen Y, Wu J, Chang K, Lu Y, Zhang H, Xie J, Wang Q, Tang R, Li L (2020) Characteristics of three microbial colonization states in the duodenum of the cirrhotic patients. Future Microbiol 15(10):855–868. https://doi.org/10.2217/fmb-2019-0270
doi: 10.2217/fmb-2019-0270
Zha H, Fang D-Q, van Der Reis A, Chang K, Yang L-Y, Xie J-J, Shi D, Xu Q-M, Li Y-T, Li L-J (2020) Vital members in the gut microbiotas altered by two probiotic Bifidobacterium strains against liver damage in rats. BMC Microbiol 20:1–12. https://doi.org/10.1186/s12866-020-01827-2
doi: 10.1186/s12866-020-01827-2
Zha H, Lewis G, Waite DW, Wu J, Chang K, Dong Y, Jeffs A (2019) Bacterial communities associated with tail fan necrosis in spiny lobster, Jasus edwardsii. FEMS Microbiol Ecol 95(6):fiz070. https://doi.org/10.1093/femsec/fiz070
doi: 10.1093/femsec/fiz070
Zha H, Li Q, Chang K, Xia J, Li S, Tang R, Li L (2022) Characterising the intestinal bacterial and fungal microbiome associated with different cytokine profiles in two Bifidobacterium strains pre-treated rats with D-galactosamine-induced liver injury. Front Immunol 13:791152. https://doi.org/10.3389/fimmu.2022.791152
doi: 10.3389/fimmu.2022.791152
Zha H, Liu F, Ling Z, Chang K, Yang J, Li L (2021) Multiple bacteria associated with the more dysbiotic genitourinary microbiomes in patients with type 2 diabetes mellitus. Sci Rep 11(1):1–13. https://doi.org/10.1038/s41598-021-81507-x
doi: 10.1038/s41598-021-81507-x
Zha H, Lu H, Wu J, Chang K, Wang Q, Zhang H, Li J, Luo Q, Lu Y, Li L (2020) Vital members in the more dysbiotic oropharyngeal microbiotas in H7N9-infected patients. Front Med 7:396. https://doi.org/10.3389/fmed.2020.00396
doi: 10.3389/fmed.2020.00396
Zha H, Si G, Wang C, Zhang H, Li L (2022) Multiple intestinal bacteria associated with the better protective effect of Bifidobacterium pseudocatenulatum LI09 against rat liver injury. Biomed Res Int 2022:8647483. https://doi.org/10.1155/2022/8647483
doi: 10.1155/2022/8647483
Zhao B-B, Li H-M, Gao X, Ye Z-H, Cheng S-S (2015) The herbal compound “diwu yanggan” modulates liver regeneration by affecting the hepatic stem cell microenvironment in 2-acetylaminofluorene/partial hepatectomy rats. Evid Based Complement Alternat Med 2015:468303. https://doi.org/10.1155/2015/468303
Zheng Z, Wang B (2021) The gut-liver Axis in health and disease: the role of gut microbiota-derived signals in liver injury and regeneration. Front Immunol 12:775526. https://doi.org/10.3389/fimmu.2021.775526
doi: 10.3389/fimmu.2021.775526

Auteurs

Hua Zha (H)

State Key Laboratory for Diagnosis and Treatment of Infectious Disease, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.

Jiafeng Xia (J)

State Key Laboratory for Diagnosis and Treatment of Infectious Disease, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.

Guinian Si (G)

Department of Rehabilitation, Shulan (Hangzhou) Hospital, Zhejiang Shuren University School of Medicine, Hangzhou, China.

Ruiqi Tang (R)

State Key Laboratory for Diagnosis and Treatment of Infectious Disease, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.

Shengjie Li (S)

State Key Laboratory for Diagnosis and Treatment of Infectious Disease, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.

Qian Li (Q)

State Key Laboratory for Diagnosis and Treatment of Infectious Disease, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.

Yiqing Lou (Y)

Department of Rehabilitation, Shulan (Hangzhou) Hospital, Zhejiang Shuren University School of Medicine, Hangzhou, China.

Wanlong Wo (W)

The Third School of Clinical Medicine, School of Rehabilitation Medicine), Zhejiang Chinese Medical University, Hangzhou, China.

Kevin Chang (K)

Department of Statistics, The University of Auckland, Auckland, New Zealand.

Lanjuan Li (L)

State Key Laboratory for Diagnosis and Treatment of Infectious Disease, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China. ljli@zju.edu.cn.
State Key Laboratory for Diagnosis and Treatment of Infectious Disease, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Road, 310000, Hangzhou, China. ljli@zju.edu.cn.

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