| Literature DB >> 27417751 |
Rodney R Dietert1, Janice M Dietert2.
Abstract
Increasing prevalences, morbidity, premature mortality and medical needs associated with non-communicable diseases and conditions (NCDs) have reached epidemic proportions and placed a major drain on healthcare systems and global economies. Added to this are the challenges presented by overuse of antibiotics and increased antibiotic resistance. Solutions are needed that can address the challenges of NCDs and increasing antibiotic resistance, maximize preventative measures, and balance healthcare needs with available services and economic realities. Microbiome management including microbiota seeding, feeding, and rebiosis appears likely to be a core component of a path toward sustainable healthcare. Recent findings indicate that: (1) humans are mostly microbial (in terms of numbers of cells and genes); (2) immune dysfunction and misregulated inflammation are pivotal in the majority of NCDs; (3) microbiome status affects early immune education and risk of NCDs, and (4) microbiome status affects the risk of certain infections. Management of the microbiome to reduce later-life health risk and/or to treat emerging NCDs, to spare antibiotic use and to reduce the risk of recurrent infections may provide a more effective healthcare strategy across the life course particularly when a personalized medicine approach is considered. This review will examine the potential for microbiome management to contribute to sustainable healthcare.Entities:
Keywords: antibiotic resistance; archaea; bacteria; economic burden; gut microbiota; immune maturation; microbiome reconstitution; non-communicable diseases; personalized medicine; pregnancy
Year: 2015 PMID: 27417751 PMCID: PMC4934527 DOI: 10.3390/healthcare3010100
Source DB: PubMed Journal: Healthcare (Basel) ISSN: 2227-9032
Figure 1The Three-Domain Model of humans is depicted. It is estimated that we are approximately 90% microbial in composition (by number of cells) in our healthiest state with approximately 25,000 gene sequenced from the human genome (the first genome) and almost 10 million genes sequenced from among our microbiota (the second genome).
Figure 2Life stage-based approaches to microbiome management are depicted beginning with the young adult and following through pregnancy and birth + nurturing of the next generation. Considerations for each life stage are illustrated such as the preparation, seeding and feeding of the infant microbome. The perinatal period of development is a particularly important window for potential modifications that could positively impact immune maturation and the risk of immune-related and inflammatory-driven disorders.
Microbial dysbiosis and non-communicable diseases and conditions (NCDs).
| Non-communicable Diseases and Conditions | Sample/Location | Reference(s) |
|---|---|---|
| Asthma | Bronchial and gastrointestinal | [ |
| Atopic dermatitis | Skin | [ |
| Autism spectrum disorder | Gastrointestinal | [ |
| Behcet’s syndrome | Gastrointestinal | [ |
| Breast cancer | Breast tissue | [ |
| Cardiovascular disease (e.g., atherosclerosis) | Gastrointestinal | [ |
| Celiac disease | Gastrointestinal | [ |
| Chronic kidney disease | Gastrointestinal | [ |
| Chronic obstructive pulmonary disease (COPD) | Respiratory | [ |
| Chronic periodontitis | Subgingival | [ |
| Colorectal cancer | Gastrointestinal | [ |
| Crohn’s disease | Gastrointestinal | [ |
| Esophageal squamous cell carcinoma | Upper digestive tract | [ |
| Food allergy | Gastrointestinal | [ |
| Gastric cancer | Gastric | [ |
| Hypertension | Gastrointestinal | [ |
| Laryngeal squamous cell carcinoma | Larnyx and Throat | [ |
| Liver cirrhosis | Gastrointestinal | [ |
| Lung cancer (non-smokers) | Lung | [ |
| Multiple sclerosis | Gastrointestinal | [ |
| Non-alcoholic fatty liver disease | Gastrointestinal | [ |
| Obesity | Gastrointestinal | [ |
| Pancreatic cancer | Salivary | [ |
| Parkinson’s disease | Gastrointestinal | [ |
| Prostate cancer | Gastrointestinal | [ |
| Psoriasis | Skin | [ |
| Rheumatoid arthritis | Gastrointestinal | [ |
| Systemic lupus erythematosus | Gastrointestinal | [ |
| Type 1 diabetes | Gastrointestinal | [ |
| Type 2 diabetes | Gastrointestinal | [ |
| Ulcerative colitis | Gastrointestinal | [ |
Medical and various environmental factors reported to affect the microbiome.
| Category | Factor | Evaluation System | Reported Effect on Microbiota | Reported Health Effect | Ref(s) |
|---|---|---|---|---|---|
| Medical | Cesarean delivery (CD) | Human | Reduced microbiota diversity and numbers in the gut | Increased risk of both type 1 diabetes and asthma after CD and celiac disease after elective CD | [ |
| Medical | Fecal microbiota transplants | Human | Increased microbial diversity with increased proportion of | Protective against recurrent | [ |
| Medical | Infant antibiotic use | Human | Reduced diversity among bifidobacteria | Increased risk of elevated childhood body mass index (boys); celiac disease, and asthma related to number of antibiotic courses | [ |
| Medical | Mouse | Broader diversity of bacterial metabolites | Reduced numbers of invariant natural killer T cells (iNKT) ; reduced risk of induced autoimmune colitis | [ | |
| Medical | Tigecycline | Mouse | Antibiotic used to treat | Treatment increased future susceptibility to | [ |
| Medical | Valproate | Mouse | Altered neonatal gut microbiota and butyrate production levels | Elevated risk of autism spectrum disorders | [ |
| Dietary | Acidification of liquids in the neonate | Mouse/non-obese diabetic (NOD) | Lowered gut pH; altered gut microbiota species | Reduced risk of diabetes | [ |
| Dietary | Aspertame | Rat (Sprague-Dawley males) | Altered gut microbiota with increased production of proprionic acid | Elevated glucose levels and impaired insulin-stimulated glucose disposal (a test for insulin tolerance capacity) | [ |
| Dietary | L-Carnitine | Human | Metabolism to trimethylamine by special oxygenases of human microbiota | Some studies report promotion of cardiovascular disease | [ |
| Dietary | Low dietary fiber content | Mouse | Altered gut microbiota distribution with lower levels of short chain fatty acids produced | Increased allergic airway inflammation | [ |
| Dietary and Environmental | Reduced Vitamin D | Mouse C57BL/6 and Human | Increased gut | Increased risk of colitis | [ |
| Environmental | Arsenic exposure | Mouse/C57/BL6 | Gut microbiota affects arsenic metabolism which, in turn, alters the abundance and composition of the microbiota | Elevated risk of cardiovascular disease | [ |
| Environmental | Cadmium exposure | Mouse and Human | Reduced abundance of gut microbiota with bacteroides and lactobaccili | Renal dysfunction and increased risk of osteoporosis in humans | [ |
| Environmental | Chlorpyriphos exposure | Rat and Human simulation | Altered ratios of microbiota | Increased risk of depression | [ |
| Environmental | Lead exposure | Mouse/Human | Lower genus diversity of microbes in the gut | Elevated risk of metabolic syndrome, cardiovascular disease, and cognitive impairment | [ |
| Environmental | Particulate Matter (PM10) | Mouse Wild-type 129/SvEv | Ingestion alters gut microbiota and induces oxidative proinflammation response | Increased risk of cardiovascular disease and asthma | [ |
| Environmental | Polychlorinated biphenyls | Mouse C57BL/6 and Human | Reduced gut microbiota abundance and decreased Proteobacteria | Elevated risk of vaccine failure and allergic sensitization | [ |
| Psychosocial | Stress | Human | Reduced numbers of Lactobacilli with increased gram-negative pathogens | Elevated risk of intestinal disorders including loss of barrier function | [ |
| Psychosocial | Stress | Mouse CD-1 males (some effects are strain specific) | Reduced abundance of Bacteroides with increased abundance of Clostridia | Elevated production of innate immune cell pro-inflammatory mediators | [ |