| Literature DB >> 30426826 |
Brendan A Daisley1,2, Marc Monachese1,2, Mark Trinder1,2, Jordan E Bisanz1,2, John A Chmiel1,2, Jeremy P Burton1,2,3,4, Gregor Reid1,2,3,4.
Abstract
Heavy metals are highly toxic elements that contaminate the global food supply and affect human and wildlife health. Purification technologies are often too expensive or not practically applicable for large-scale implementation, especially in impoverished nations where heavy metal contamination is widespread. Lactobacillus rhamnosus GR-1 (LGR-1) was shown in previous work to reduce heavy metal bioaccumulation in a Tanzanian cohort of women and children through indeterminant mechanisms. Here, it was hypothesized that LGR-1 could sequester the heavy metals lead (Pb) and cadmium (Cd), thereby reducing their absorption across intestinal epithelium. LGR-1 and other lactobacilli significantly reduced the amount of Pb and Cd in solution at all concentrations tested (0.5 mg/L - 50 mg/L) and exhibited sustained binding profiles over a 48-hour period. Relative binding efficiency of LGR-1 decreased as Pb concentration increased, with an absolute minimum binding threshold apparent at concentrations of 2 mg/L and above. Electron microscopy revealed that Pb formed irregular cell-surface clusters on LGR-1, while Cd appeared to form intracellular polymeric clusters. Additionally, LGR-1 was able to significantly reduce apical-to-basolateral translocation of Pb and Cd in a Caco-2 model of the intestinal epithelium. These findings demonstrate the absorbent properties of LGR-1 can immobilize Pb and Cd, effectively reducing their translocation across the intestinal epithelium in vitro. Oral administration of heavy metal-binding Lactobacillus spp. (many of which are known human symbionts and strains of established probiotics) may offer a simple and effective means to reduce the amount of heavy metals absorbed from foods in contaminated regions of the world.Entities:
Keywords: Probiotics; cadmium; detoxification; dietary toxins; environmental contaminants; heavy metals; lactobacilli; lead; sequestration; xenobiotics
Mesh:
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Year: 2018 PMID: 30426826 PMCID: PMC6546314 DOI: 10.1080/19490976.2018.1526581
Source DB: PubMed Journal: Gut Microbes ISSN: 1949-0976
Figure 1.. Overnight cultures of lactobacilli were re-suspended in 50 mM HEPES buffer with Pb at concentrations of (A) 0.5 mg/L, (B) 2.0 mg/L, and (C) 50 mg/L, or alternatively with Cd at concentrations of (D) 0.5 mg/L, (E) 2.5 mg/L, and (F) 50 mg/L. (H) Visual representation of the inverse relationship between relative binding capacity of lactobacilli and concentration of Pb and Cd in solution. (I) Linear regression analysis of relative binding potential of LGR-1 compared to amount of Pb in solution. Binding potential of (J) Pb at a concentration of 0.1 mg/L and (K) Cd at a concentration of 1.0 mg/L was compared between LGR-1 and two strains of lab-strain E. coli. All experiments were performed from 3 independent experiment and analyzed in triplicate. Pb and Cd were quantified using an inductively coupled plasma atomic emission spectrophotometer. Error bars represent ± standard error. * p < 0.05, ** p < 0.01, *** p < 0.001, and **** p < 0.0001. ND = not detected. ns = not significant.
Figure 2.Binding of Pb and Cd by lactobacilli is consistent over time and independent of cell viability. Overnight cultures of lactobacilli were re-suspended in 50 mM HEPES buffer 0.5 mM (A) Pb and (B) Cd and subsequently monitored over a 48-hour period. Pb and Cd vehicle control groups represent non-inoculated 50 mM HEPES buffer containing 0.5 mM Pb or Cd. Each graph line represents a different biological replicate measured consecutively in triplicate over 48 hours. The binding efficiency between live and dead LGR-1 was compared by heat-inactivating LGR-1 cultures at 80 C for 1 hour. Live and dead LGR-1 were suspended in 50 mM HEPES with 0.5 mg/L (C) Cd and (D) Pb and incubated for 5 mins prior to quantification. Experiments were performed 3 times and analyzed in triplicate. Heat-inactivation experiments were performed in biological triplicate. Pb and Cd were quantified using an inductively coupled plasma atomic emission spectrophotometer. Error bars represent ± standard error. ns = not significant.
Figure 3.SEM and X-ray analysis revealed metal precipitates present in LGR-1. Overnight cultures of LGR-1 were incubated in 0.1 mM Pb or Cd prior to visualization at the microscopic level. (A-B) SEM micrographs of LGR-1 incubated with 0.1 mM Pb. Bright white clusters represent cell surface precipitates of Pb excited by X-rays with an excitation energy source of 15 kV. (C-F) Energy dispersive X-ray analysis of metal treated bacterial samples. Spectra show all elements detected in the area of analysis, the heavy metals Pb (C) and Cd (D) are highlighted in each sample confirming their presence. Beam energy was set in the range of 5 kV-25 kV to excite bound metals as needed and INCA® software used for analysis (E-F) TEM micrographs from ultra thin sections of (G) control LGR-1 cells, (H) LGR-1 incubated with 0.1 mM Pb, and (I) LGR-1 incubated with 0.1 mM Cd. Yellow arrows highlight the two colloidal precipitates of cadmium. SEM images were taken using a LEO 1540XB FIB lithography filter. Ultra thin slices were viewed at 60 kV with a Philips EM410 TEM.
Figure 4.Lactobacilli reduce toxicity and apical-to-basolateral translocation of Pb and Cd in a Caco-2 cell model of the intestine epithelium. Flow cytometry was used to quantify viability of Cd-exposed Caco-2 cells (A-D) Histogram populations of the Caco-2 cells after incubation with the metals Pb or Cd, with or without pre-treatment with LGR-1. (E) Visible representation of gating used to distinguish and quantify live and dead populations of Caco-2 cells. A significant separation occurs between live and dead cells allowing for accurate labelling (F-G). To determine effect of LGR-1 supplementation on intestinal absorption of (F) Pb and (G) Cd, a Caco-2 Transwell model of the intestinal epithelium was used. Caco-2 apical and basolateral measurements of Pb and Cd were performed in biological triplicate (n = 3 for each treatment group). Error bars represent ± standard error. * p > 0.05. ns = not significant.