Abstract

The gut microbiome plays an important role in obesity and Type 2 diabetes (T2D); however, it remains unclear whether the gut microbiome could clarify the dietary versus genetic origin of these ailments. Moreover, studies examining the gut microbiome in diet- versus genetically induced obesity/T2D in the same experimental set-up are lacking. We herein characterized the gut microbiomes in three of the most widely used mouse models of obesity/T2D, i.e., genetically induced (leptin-deficient i.e., Lepob/ob; and leptin-receptor-deficient i.e., Lepdb/db) and high-fat diet (HFD)-induced obese (DIO)/T2D mice, with reference to their normal chow-fed (NC) and low-fat-diet-fed (LF) control counterparts. In terms of β-diversity, Lepob/ob and Lepdb/db mice showed similarity to NC mice, whereas DIO and LF mice appeared as distinct clusters. The phylum- and genus-level compositions were relatively similar in NC, Lepob/ob, and Lepdb/db mice, whereas DIO and LF mice demonstrated distinct compositions. Further analyses revealed several unique bacterial taxa, metagenomic functional features, and their correlation patterns in these models. The data revealed that obesity/T2D driven by diet as opposed to genetics presents distinct gut microbiome signatures enriched with distinct functional capacities, and indicated that these signatures can distinguish diet- versus genetically induced obesity/T2D and, if extrapolated to humans, might offer translational potential in devising dietary and/or genetics-based therapies against these maladies.

Highlights

  • The prevalence of metabolic diseases, including obesity and Type 2 diabetes (T2D), is rapidly increasing worldwide

  • Figure 6F.igDuyresb6.ioDtyicsbmioatigc nmitaugndietuodfeionftienstteisntianlapl peerrmmeeaabbiilliittyyaannddinifnlaflmammamtoraytomrayrkmerasriknedriseti-ninddiuecte-dinduced versus gveernseutsicgaelnlyeticinaldlyucinedducoebdeosebesme imcei.ce. ((aa)) LLeaakkyy gguut t(m(meaesuarseudrebdy bapypeaaprpanecaeraonf cfeluoorfesflceuinorescein isothiocyisaonthaitoecyinanbaltoe oidn lbelaookdedlefarkoemd gfruotm) ta)n(da)tahnedmthReNmAReNxApreexspsiroesnsiloenvelelsveolsf toigf htitg-hjut-njucnticotinonproteins (b,c) andprointeflinasm(bm,c)aatondryinmflaamrkmeartsor(ydm–ahr)keinrs t(dh–ehi)lienatlhteiislseualetsissoufeschofocwho-wfe-dfedlelpeptitnin--ddeeffiicciieennt t(O(bOObbO) b) and leptin-reacnedplteoprt-idne-rfiecceiepntotr(-DdebfiDciben) to(bDebsDe bm) iocbeeasendmihciegahn-dfaht-idghie-fta-ti-nddieut-ciendduocbedesoeb(eDseIO(D)ImO)icme,icwe,itwhitrheference to normraelf-ecrhenocwe -tfoendor(mNaCl-)chaonwd-fleodw(N-faCt)-adniedtl-ofwed-fa(Lt-dFi)ect-ofendtr(oLFl )mcoicnetr.o*l mp i

  • It remains unclear whether the gut microbiome can be used to distinguish the diet-versus genetics-specific pathology of these diseases

Read more

Summary

Introduction

The prevalence of metabolic diseases, including obesity and Type 2 diabetes (T2D), is rapidly increasing worldwide. The composition of the gut microbiome can be influenced by animal facilities, protocols for fecal collection, DNA isolation and sequencing, and bioinformatics analyses; comparing the relationship and contribution of gut microbiome composition as determined using data from these mouse models analyzed by different labs/facilities and using different sequencing platforms remains a limitation To our knowledge, this is the first report to compare the gut microbiome signature in these widely used mouse models of obesity/T2D using identical and consistent protocols and analysis tools, and these results should facilitate prospective studies examining the contribution of the gut microbiome in genetically versus diet-induced pathobiology of obesity/T2D

Methods
Results
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.