| Literature DB >> 31658751 |
Marianna Roselli1, Emily Schifano2, Barbara Guantario3, Paola Zinno4, Daniela Uccelletti5, Chiara Devirgiliis6.
Abstract
Probiotics exert beneficial effects on host health through different mechanisms of action, such as production of antimicrobial substances, competition with pathogens, enhancement of host mucosal barrier integrity and immunomodulation. In the context of ageing, which is characterized by several physiological alterations leading to a low grade inflammatory status called inflammageing, evidences suggest a potential prolongevity role of probiotics. Unraveling the mechanisms underlying anti-ageing effects requires the use of simple model systems. To this respect, the nematode Caenorhabditis elegans represents a suitable model organism for the study of both host-microbe interactions and for ageing studies, because of conserved signaling pathways and host defense mechanisms involved in the regulation of its lifespan. Therefore, this review analyses the impact of probiotics on C. elegans age-related parameters, with particular emphasis on oxidative stress, immunity, inflammation and protection from pathogen infections. The picture emerging from our analysis highlights that several probiotic strains are able to exert anti-ageing effects in nematodes by acting on common molecular pathways, such as insulin/insulin-like growth factor-1 (IIS) and p38 mitogen-activated protein kinase (p38 MAPK). In this perspective, C. elegans appears to be advantageous for shedding light on key mechanisms involved in host prolongevity in response to probiotics supplementation.Entities:
Keywords: ageing; immunosenescence; lifespan; nematode; oxidative stress; pathogen protection; probiotic bacteria
Mesh:
Substances:
Year: 2019 PMID: 31658751 PMCID: PMC6834311 DOI: 10.3390/ijms20205020
Source DB: PubMed Journal: Int J Mol Sci ISSN: 1422-0067 Impact factor: 5.923
Figure 1Micrograph representing the model organism Caenorhabditis elegans (the head is on the left; the tail is on the right). The principal biomarkers and physiological traits associated with ageing are described in the squares. Magnification: 5×.
List of microbial strains reported in the selected literature to exert a probiotic activity in C. elegans.
| Genus | Species | Strain(s) | Nematode Signaling Pathway(s) Influenced | References |
|---|---|---|---|---|
|
|
| NCFM | p38 MAPK | [ |
|
| SDL1411 | unknown | [ | |
|
| CL11 | unknown | [ | |
|
| H307.6 | unknown | [ | |
|
| unknown | [ | ||
|
| MBC2 | unknown | [ | |
|
| SBT2055 | p38 MAPK | [ | |
|
| NBRC15019 | unknown | [ | |
|
| CR147 | unknown | [ | |
|
| 28.4 | unknown | [ | |
|
| CAU1054; CAU1055; CAU1064; CAU1106 | unknown | [ | |
|
| D303.36 | unknown | [ | |
|
| CL9 | unknown | [ | |
|
| R4 | unknown | [ | |
|
| FDB89 | unknown | [ | |
|
| LB1 | p38 MAPK | [ | |
|
|
| CECT8145 | IIS | [ |
|
| UCC2003 | unknown | [ | |
|
| ATCC15697 | p38 MAPK | [ | |
|
| ATCC15707 | unknown | [ | |
|
|
| 141 | unknown | [ |
|
|
| KCTC 15070 | TGF-beta | [ |
|
|
| MIYAIRI 588 (CBM 588) | IIS | [ |
|
|
| MMH594 | p38 MAPK | [ |
|
| L11 | TGF-beta | [ | |
|
|
| Nissle 1917 | unknown | [ |
|
|
| KCTC 5187 | TGF-beta | [ |
|
|
| DSM 20284 | unknown | [ |
|
| SDL1409 | unknown | [ | |
|
|
| KCTC 1063 | p38 MAPK | [ |
|
|
| KACC11845 | JNK | [ |
|
| KACC11853 | JNK | ||
|
|
| CIDCA 8154 | p38 MAPK | [ |
1 The current adscription is Bifidobacterium longum subsp. infantis [70].
Figure 2Schematic representation of the most common signaling pathways influenced by probiotic strains employed in C. elegans studies. Each pathway is represented by a distinct color gradient. The list of single bacterial strains influencing the different pathways is reported in Table 1. Abbreviations used: AMPK: 5′ AMP-activated protein kinase; AKT-1/2: serine/threonine protein kinase orthologs; BAR-1: beta-catenin/armadillo Related-1; DAF: dauer formation; DBL-1: DPP/BMP-Like-1; HSF-1: heat-shock transcription factor-1; IIS: insulin/insulin-like growth factor-1; JKK-1: c-Jun N-terminal kinase kinase; JNK-1: c-Jun N-terminal kinase; MAPK: mitogen-activated protein kinase; NSY-1: neuronal symmetry-1; PDK-1: phosphoinositide-dependent kinase 1; PMK-1: p38 mitogen-activated protein kinase-1 ortholog; RACK-1: receptor activated protein C kinase; SEK-1: SAPK/ERK kinase-1; SGK-1: serine/threonine protein kinase ortholog; SKN-1: skinhead family member-1; SMA: small; TIR-1: toll interleukin-1 receptor-1.