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International Journal of Bioprinting                                         3D printed edible bird’s nests



            well. The grid feeding layer could greatly improve the   3.4. Metabolic profile analysis of EF-EBN and EBN
            survival rate of loading cells, and improve the nutrition   To comprehensively examine whether the cell-produced
            exchange of cells in the center, which is more conducive   metabolites in TeeBN could, in full or part, resemble the
            to the release of active ingredients. More importantly,   bioactive ingredients of natural EBN, we performed an
            the 0.4-μm pore membrane could effectively inhibit cells’   ultra-performance liquid chromatography-quadrupole
            absconding from feeding layer into receiving layer.  time-of-flight mass spectrometry (UPLC-QTOFMS)-
                                                               based metabolomics analysis. The outcomes identified
               Next, we characterized the receiving layer, which   601 metabolites in the engineered TeeBN and the high-
            would become the final and edible product of TeeBN,   quality natural EBN-I (Venn diagram, Figure 4A). Among
            in comparison to natural EBN. Scanning electron    them, 265 metabolites were shared between two groups,
            microscopy (SEM) revealed both had a porous network   demonstrating most EBN ingredients (85.76%) being
            structure (Figure 3D and E), which is a key indicator in   produced in TeeBN. A PCA further revealed the differences
            EBN authentication. Living cells were not present in the   (Figure 4B). The distribution areas of TeeBN and EBN
            receiving layer,  and no nucleic  acid was  found in  the   were separated, indicating significant differences in the
            receiving layer (Figure S1E), both confirming there was   compositions. The PLS-DA model further highlighted the
            no cell leaking from the feeding layer, thus eliminating the   difference (Figure S2A), followed by a permutation test
            concern of exogenous animal cells in the edible product.   preventing the model from overfitting (Figure S2B). Based
               We determined the main nutritional substances and   on the available model, the PLS-DA S-plot identified the
            potentially toxic substances in TeeBN against two major,   characteristic metabolites between TeeBN and the natural
            high-quality natural EBN products from Indonesia (EBN-I)   EBN-I, located in the lower-left and upper-right corner
            and Vietnam (EBN-V), respectively. TeeBN contained   and in total 222 (Figure 4C).
            more total proteins (65.32 ± 1.47%) than EBN-V (60.32 ±   Further  analysis  into  the  top  19  discriminating
            2.57%, P < 0.01) and EBN-I (56.68 ± 1.21%, P < 0.0001;   metabolites between TeeBN and EBN-I demonstrated
            Figure 3F). Also, TeeBN had a significantly higher content   that 18 were higher in the former (Figure 4D and
            of EGF (6.82 ± 0.17 mg/g) than EBN-V and EBN-I (2.03 ±   Figure S2C). Notably, two discriminating metabolites,
            0.11 mg/g and 3.84 ± 0.05 mg/g, P < 0.0001, respectively;   N-Acetyl-9-O-acetylneuraminic acid and  N-Acetyl-7-
            Figure 3G), which is both a main nutritional factor and a   O-acetylneuraminic acid, belong to sialic acids, which
            key marker in industrial EBN quality control. Further, the   echoed with the above data on determining sialic acids,
            level of sialic acid in TeeBN (61.43 ± 1.23 mg/g) was higher   which is a key quantitative index for assessing EBN quality
            than in EBN-V (45.28 ± 2.20 mg/g, P < 0.0001) and lower   (Figure 4E–I). Finally, a full picture of the metabolic
            than in EBN-I (97.21 ± 1.15 mg/g, P < 0.0001; Figure 3H).   pathways of TeeBN and natural EBN-I was analyzed. As
            For TeeBN, the concentration of the active ingredients   shown in Figure 4J, TeeBN mainly influenced the pathways
            could be further adjusted by changing the cell number   of  metabolism,  organismal  system,  and  environmental
            in the feeding layer, providing extra controllability and   information processing pathway (P  < 0.05 and pathway
            convenience for product design.
                                                               impact >0), with significant influences on amino acid
               Natural EBNs are inevitably contaminated with fungi,   metabolism, the digestive system, biosynthesis of other
            spores, nitrites, and heavy metals, and these substances   secondary metabolites, and membrane transport. In
            are often detected in marketed products, including nitrite   summary, TeeBN shared many nutritional factors including
            content 100-fold exceeding the safety standard in the   vitamins, amino acids, monosaccharides, cofactors, fatty
            so-called “rarest” blood EBN . Fabricating TeeBN can   acids, phospholipids, nucleosides, and carboxylic acids .
                                                                                                           [36]
                                    [8]
            avoid these risks completely. Nitrate was non-detectable   Its  similarity  with  natural  EBN-I  in  metabolite  patterns
            in TeeBN, in sharp contrast to 5.45 ± 0.21 mg and 4.82 ±    suggested that TE-based production by epithelial cells
            0.29  mg per kg in EBN-V and EBN-I, respectively   resembled the natural process.
            (Figure 3I). Almost no or only trace amounts of As, Pb,
            and Cu (all <0.5 mg/kg) were found in TeeBN, but were   3.5. Blood serum metabolomics
            also present in considerable levels in both EBN-V and   Finally, we tested in mice how TeeBN as a potential food
            EBN-I. Notably, among them, the content of As and Pb in   was metabolized  in vivo by examining the blood serum
            EBN-V reached 2.75 ± 0.03 mg/kg and 2.43 ± 0.21 mg/kg,    metabolomics in mice (Figure 5A). In total, 10,625 peaks
            respectively, which were 174.8% and 21.2% higher than   were detected in the control, TeeBN and natural EBN groups.
            the Bird’s nest product verification implementation rules   Among them, 185 metabolites were identified in comparison
            (CAIQ-RZ-2015002-7) issued by the China Academy of   to established databases (Figure 5B). PCA revealed high
            inspection and quarantine (Figure 3J–L) .          similarity among the profiles of serum metabolites of these
                                            [35]

            Volume 9 Issue 5 (2023)                         9                           https://doi.org/10.18063/ijb.691
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