| Literature DB >> 33228099 |
Minjeong Kang1, Donghui Choe1, Kangsan Kim1, Byung-Kwan Cho1,2,3, Suhyung Cho1,2.
Abstract
Since the intimate relationship between microbes and human health has been uncovered, microbes have been in the spotlight as therapeutic targets for several diseases. Microbes contribute to a wide range of diseases, such as gastrointestinal disorders, diabetes and cancer. However, as host-microbiome interactions have not been fully elucidated, treatments such as probiotic administration and fecal transplantations that are used to modulate the microbial community often cause nonspecific results with serious safety concerns. As an alternative, synthetic biology can be used to rewire microbial networks such that the microbes can function as therapeutic agents. Genetic sensors can be transformed to detect biomarkers associated with disease occurrence and progression. Moreover, microbes can be reprogrammed to produce various therapeutic molecules from the host and bacterial proteins, such as cytokines, enzymes and signaling molecules, in response to a disturbed physiological state of the host. These therapeutic treatment systems are composed of several genetic parts, either identified in bacterial endogenous regulation systems or developed through synthetic design. Such genetic components are connected to form complex genetic logic circuits for sophisticated therapy. In this review, we discussed the synthetic biology strategies that can be used to construct engineered therapeutic microbes for improved microbiome-based treatment.Entities:
Keywords: genetic engineering; synthetic biology; therapeutic molecules
Mesh:
Substances:
Year: 2020 PMID: 33228099 PMCID: PMC7699352 DOI: 10.3390/ijms21228744
Source DB: PubMed Journal: Int J Mol Sci ISSN: 1422-0067 Impact factor: 5.923
Figure 1Examples of microbiome-based therapies. Probiotics/prebiotics, administration of microbes that have beneficial effects on human health; Fecal microbiota transplantation (FMT), transfer of the processed feces of healthy people; Engineered microbes, transformation of the genetic platforms to sense and treat the diseases using genetic engineering.
Figure 2Illustration of the process employed to construct engineered therapeutic microbes based synthetic biology approach.
Therapeutic functions of engineered microbes.
| Functions | Engineered Microbes | Biomarkers | Therapeutic Molecule | Disease Targeted | Host | Ref. |
|---|---|---|---|---|---|---|
| Disease sensors | Heme | - | Gastrointestinal bleeding | Swine | [ | |
| Nitrate | - | Gut inflammation | Mice | [ | ||
| Thiosulfate | - | Colitis | Mice | [ | ||
| Tumors | - | Liver metastasis | Mice | [ | ||
| Tetrathionate | - | Gut inflammation | Mice | [ | ||
|
| NO, glucose | - | Inflammation, diabetes | Human clinical samples | [ | |
|
| NO | - | Colitis | Mouse ileum explants | [ | |
|
| CAI-1 | - | Mice | [ | ||
|
| AIP-I | - | [ | |||
| Heterologous productionsof host proteins |
| Xylan | TGF-β1 | Colitis | Mice | [ |
|
| - | KGF-2 | Colitis | Mice | [ | |
| - | NAPEs | Obesity | Mice | [ | ||
|
| - | IL-10 | Colitis | Mice | [ | |
|
| - | IL-10 | Crohn’s Disease | Patients | [ | |
|
| - | IL-17A | Cancer | Mice | [ | |
|
| - | Heme oxygenase-1 | Colitis | Mice | [ | |
|
| - | hTFF1 | Oral mucositis | Hamsters | [ | |
|
| - | hLF | Bacterial infection | Mice | [ | |
|
| - | GLP-1 | Diabetes | Rats | [ | |
| Heterologous productions of therapeutic proteins |
| - | rhMnSOD | Colitis | Mice | [ |
| - | CAI-1 | Mice | [ | |||
| - | Fructose dehydrogenase, mannitol-2-dehydrogenase | Hepatic steatosis | Rats | [ | ||
| AHL | S5 pyocin, E7 lysis protein, DspB | [ | ||||
| - | HIV-gp41-hemolysin A | HIV | Mice | [ | ||
|
| - | AI-2 | Gut microbiota dysbiosis | Mice | [ | |
|
| CAI-1 | YebF-Art-085 | [ | |||
|
| - | Glycosyl-transferase | Diarrhea | Rabbits | [ | |
|
| - | Invasin, listeriolysin O | Colitis | Mice | [ | |
|
| - | Myrosinase | Cancer | Cell lines | [ | |
|
| - | Synthetic adhesins | Cancer | Mice | [ | |
|
| - | Antienterococcal peptides | [ | |||
|
| - | SCI-59 | Diabetes | [ | ||
|
| - | Flagellin | Enteropathogen infection | [ | ||
|
| - | Elafin | IBD | Cell lines, mice | [ | |
|
| - | CV-N | HIV | Simians | [ | |
|
| - | Linoleic acid isomerase | Obesity | Mice | [ | |
|
| - | Listeria adhesion protein | Cell lines | [ | ||
|
| - | Anhydrotetracycline | Cp53 peptide | Cell lines | [ | |
|
| - | Flagellin B | Metastatic cancer | Mice | [ | |
| Synthetic metabolism | - | Phe-degradation pathways | Phenylketonuria | Mice, monkeys | [ | |
| Antigen, antibody induction |
| - | Surface-layer protein G | HIV | [ | |
|
| - | Anti-TNF nanobody | Colitis | Mice | [ | |
|
| - | Hemagglutinin | Influenza virus infection | Mice | [ | |
|
| - | Ovalbumin | Autoimmune diseases | Mice | [ | |
|
| - | DQ8 gliadin epitope | Celiac disease | Mice | [ | |
|
| - | GAD65, IL-10 | Type 1 diabetes | Mice | [ | |
|
| - | LcrV antigen | Mice | [ | ||
|
| - | Cyanovirin-N | HIV | Simians | [ | |
|
| - | RANTES, C1C5 RNATES | HIV | [ |
Abbreviations: AI-2, autoinducer-2; AIP-I, autoinducer peptide I; AHL, N-acyl homoserine lactone; CAI-1, cholera autoinduer-1; CV-N, cyanovirin-N; DspB, dispersin B; GAD65, glutamic acid decarboxylase; GLP-1, glucagon-like peptide-1; hLF, human lactoferrin; hTFF1, human trefoil factor 1; IBD, inflammatory bowel disease; IL-10, interleukin 10; KGF-2, keratinocyte growth factor-2; LcrV, low-calcium response V; NAPEs, N-acylphosphatidylethanolamines; rhMnSOD, recombinant human manganese superoxide dismutase; SCI-59, single-chain insulin analog; TGF-β1, transforming growth factor-β; TNF, tumor necrosis factor-α. NO, nitric oxide.