| Literature DB >> 26629334 |
Douglas Kell1, Marnie Potgieter2, Etheresia Pretorius2.
Abstract
For bacteria, replication mainly involves growth by binary fission. However, in a very great many natural environments there are examples of phenotypically dormant, non-growing cells that do not replicate immediately and that are phenotypically 'nonculturable' on media that normally admit their growth. They thereby evade detection by conventional culture-based methods. Such dormant cells may also be observed in laboratory cultures and in clinical microbiology. They are usually more tolerant to stresses such as antibiotics, and in clinical microbiology they are typically referred to as 'persisters'. Bacterial cultures necessarily share a great deal of relatedness, and inclusive fitness theory implies that there are conceptual evolutionary advantages in trading a variation in growth rate against its mean, equivalent to hedging one's bets. There is much evidence that bacteria exploit this strategy widely. We here bring together data that show the commonality of these phenomena across environmental, laboratory and clinical microbiology. Considerable evidence, using methods similar to those common in environmental microbiology, now suggests that many supposedly non-communicable, chronic and inflammatory diseases are exacerbated (if not indeed largely caused) by the presence of dormant or persistent bacteria (the ability of whose components to cause inflammation is well known). This dormancy (and resuscitation therefrom) often reflects the extent of the availability of free iron. Together, these phenomena can provide a ready explanation for the continuing inflammation common to such chronic diseases and its correlation with iron dysregulation. This implies that measures designed to assess and to inhibit or remove such organisms (or their access to iron) might be of much therapeutic benefit.Entities:
Keywords: Dormancy; culturability; inflammation; iron dysregulation; microbiome; persisters; sepsis
Year: 2015 PMID: 26629334 PMCID: PMC4642849 DOI: 10.12688/f1000research.6709.2
Source DB: PubMed Journal: F1000Res ISSN: 2046-1402
Figure 1. A typical laboratory bacterial culture.
After the end of stationary phase the viable count decreases over time, but very rarely to precisely zero. Some authors recognise an extended “period of prolonged decrease” [852] during which some of the survivors undergo significant dynamics, and in which mutants are selected. Our interest here is largely in cells that have not mutated.
Figure 2. To clarify the general concept of a population as used here, a population of individuals involves those who share certain properties (between stated values).
One main population is shown. A second, smaller population is also shown; these might represent dormant cells.
Figure 3. Infographic summary of the review.
(1) A bacterial system contains distinct subpopulations, that we classify as culturable, dormant and non-culturable (2). Specific attention is given to persister cells (3), and the inter-relationship (4) between the subpopulations. Subpopulations within environmental biology are discussed (5), followed by subpopulations within laboratory cultures (6). Particular emphasis is placed on phenotypic switching between the culturable and dormant subpopulation of laboratory cultures (7). Generalized detection techniques typically fail to detect dormant cells, and we review the various reasons for this failure and discuss alternatives (8). Resuscitation of and endotoxin production by such dormant cells underpins many diseases not normally seen as having a microbial component.
Figure 4. Summary of the review in the form of a ‘mind map’ [853] of the article.
Figure 5. Assessment of phenotypic differentiation of a dormant subpopulation via antibiotic challenge.
This kind of protocol can be used to determine if the resistant subpopulation has accumulated genetic mutations that encoded resistance or whether, as focused on here, the resistance is purely phenotypic. A detailed analysis of the shape of the time-survivor curves may also be informative [854].
Figure 6. The relationships between culturable, dormant and non-culturable bacteria within a differentiated cellular system.
Some bacterial infections for which an intracellular, reversibly non-replicating, persistent or dormant state is well established as part of the cells’ lifestyle.
Examples are given for both low- and high-GC Gram positives, as well as a number of Gram-negative organisms.
| Organism | Comments | Selected
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|---|---|---|
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| Persists inside erythrocytes |
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| Environmental and intracellular persistence and immune evasion |
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| Well-established low-GC Gram-positive intracellular saprophyte and non-
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| Often seen as the ‘classical’ dormant bacterium, a high-GC Gram-positive;
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| Gram-negative; non-replicating forms common in macrophages and
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| Low-GC Gram-positive; can escape antibiotics by hiding inside various
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Some examples of blood culture-negative but PCR-positive systems, implying the presence of dormant bacteria.
Note that we have sought to exclude examples where anaerobic bacteria could be detected by PCR but not cultured simply because cultures were not anaerobic, and also cases (e.g. 408, 409) where high antibiotic concentrations might have prevented culture.
| Aims | Culture-negative but PCR-positive | Reference |
|---|---|---|
| Assessment of endocarditis | 6 out of 29 |
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| Development of broad-range PCR | 71 out of 382 |
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| Development of broad-range PCR;
| 10 out of 103 |
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| Improved broad-range PCR method | 20 out of 24 |
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| Review | Many examples |
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| Interstitial cystitis | 14 out of 14 |
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| Endocarditis | 270 (36.5%) of 740 |
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| Endophthalmitis | 116 out of 116 (selected) |
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| General study | 18 out of 394 (271 also
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| Bacteraemia in intensive care | 48 out of 197
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| Sepsis/SIRS | 29 out of 59
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| Osteoarticular samples | 141 out of 1667 |
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| Review | Many examples |
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| Various, including antibiotic-treated | 34 out of 240 |
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| Meningitis | 26 out of 274
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| Orthopaedic samples | 9% out of 125 |
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| Thoracic empyaema | 14 out of 22 |
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| Trauma | 28 out of 35 |
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Figure 7. A and B) Platelet rich plasma (PRP) from a patient with systemic lupus erythematosus (SLE). A) Platelet with bacteria visible in the surrounding smear (pink arrows); B) areas in smear with bacteria (pink arrows); C) Erythrocyte with associated bacteria from patient with confirmed hereditary hemochromatosis D) Erythrocytes with bacteria from patients with diagnosed type II diabetes. A– C Scale bar: 1 μm and D 400 nm.
Figure 8. Bacteria in whole blood from a patient with thromboembolic ischemic stroke A) Microbiota in whole blood; scale bar: 200 nm. B) Erythrocyte with bacteria; scale bar: 1 μm.
Evidence for infectious agents in non-communicable diseases.
We purposely largely confine ourselves to bacteria here, but include the occasional parasite, fungus, mycoplasma and virus. While obesity is usually seen as a cause of other diseases, rather than a disease itself, we note the influence of endotoxaemia on obesity [471– 476]. We note too the extensive evidence for the role of LPS in inflammation [477– 479], and the experimental models (e.g. for Parkinson’s [480]) where it can induce disease directly. We do not much discuss diseases such as Crohn’s disease where the extensive uncertainty over the extent of involvement of mycobacteria (e.g. 481– 483) needs no extra rehearsal (albeit it serves to illustrate the difficulties of identifying the role of hard-to-cultivate bacteria in chronic diseases). Further, while similar phenomena may be observed in a variety of cancers (e.g. 484– 489), for reasons of space we have determined that this must be the subject of a separate work.
| Disease | Class of bacteria | Nature of the evidence of involvement | Selected
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|---|---|---|---|
| AUTOIMMUNE DISEASES | |||
| Ankylosing spondylitis |
| LPS antibodies found in various patient populations |
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| Multiple sclerosis |
| Single case isolation:
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| 17 patients with relapsing-remitting MS, 20 patients with
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| PCR, Serology
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| Infectious causes of multiple sclerosis – discussion in The Lancet Neurology |
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| Rheumatoid arthritis/
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| Periodontal bacterial DNA in serum and synovial
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| Antibody responses found in many patients |
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| ELISA and indirect immunofluorescence techniques
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| PCR, Western Blot
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| Mycoplasma in 209 synovial fluid samples |
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| Microbiology reports from patient records |
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| Review discussing the involvement of these bacteria in
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| In 23 of 55 patients, undergoing primary shoulder joint
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| Synovial tissues of patients: review of literature |
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| Systemic Lupus
| Cell wall-deficient form | Histologic observations of coccoid forms suggestive of
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| Blood & tissue culture, patient records
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| Vasculitis | Possibly mainly viral, but
| Various reviews that suggest bacterial involvement |
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| CARDIOVASCULAR DISEASES | |||
| General | Comprehensive reviews |
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| Atherosclerosis |
| This was an animal (mice) study |
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| Antigens, PCR and treatment of patients with antibiotics
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| This was an animal study. H. cinaedi infection significantly
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| Bacteria in atherosclerotic plaques of carotid arteries:
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| PCR: periodontopathic bacteria were detected in
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| PCR,
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| Comprehensive reviews |
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| PCR in a murine models |
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| Periodontopathic bacteria
| PCR: large patient based study |
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| Inoculated animals |
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| Animal (mouse) model |
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| Endocarditis | Many cell-wall-deficient forms | Comprehensive review |
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| Benefit of antibiotic prophylaxis: review of literature |
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| Hereditary
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| qPCR: 454 pyrosequencing of 16S rRNA genes to
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| Blood culture (Gram stain, catalase activity and
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| Letter to the editor regarding infection |
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| Case study |
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| Case study: Blood culture; API20E system |
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| Case study: wound infection |
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| Infected wild-type and hepcidin-deficient mice |
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| Case studies: Blood culture; PASCO and API20E |
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| Case studies: Microbial cultures, serotype O:3, serotype 9 |
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| Case studies: Mobility test and API |
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| Hypertension | Periodontal infection with
| Large study: DNA-DNA checkerboard hybridization |
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| Periodontal infection | Review: Strong positive association between periodontal
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| Myocardial infarction | Chronic dental infection
| Association between dental chronic inflammatory
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| Large study: 3315 case patients aged 75 years or
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| Enterobacteria & influenza-like illness | Immunohistochemistry: Association study |
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| Stroke (and TIA) | Comprehensive papers reviewing infection and stroke |
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| Many bacterial species | 84 different species detected in 77 patients |
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| Community-acquired
| Population-based cohort study |
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| Bacterial endocarditis
| Culture of cerebrospinal fluid:
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| ELISA |
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| Serology |
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| Multivariate time series analysis to assess an association
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| Cox proportional hazard regressions |
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| Association between MP infection and risk of ischemic
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| Latex agglutination test and
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| Prospective observational cohort study and
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| Blood culture |
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| PCR |
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| Cox proportional hazard model |
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| Blood culture |
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| Neurosyphillis also present
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| Case study: Serology and haem agglutination test |
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| Vascular disease
| Numerous bacterial species
| Seven nonseptic patients: 6S rDNA analysis,
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| ENDOCRINE DISEASES | |||
|
| Overview papers |
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| Pseudomonads,
| PCR and antibodies from blood samples |
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| type 1 |
| Urine and blood culture: form patients with urinary tract
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| Various proteobacteria | PCR: 16SRNA form human blood |
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| Decreased bacteroidetes | Review paper |
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| type 2 | Systemic antibiotics improved
| Measured as a reduction in glycated hemoglobin or
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| Many Gram-positives | qPCR: blood from patients |
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| NEUROLOGICAL DISORDERS | |||
| General | Comprehensive reviews |
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| Alzheimer’s Disease | Comprehensive reviews |
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| Immunolabeling and immunoblotting of brain tissue
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| Spirochetal bacteria | Comprehensive overview papers:
|
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| Histology for diagnosis of Hp-I from AD patients |
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| Population studies: eradication of bacteria versus state
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| Animal (Rat) model |
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| Serum IgG levels in patients |
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| Amyotrophic Lateral
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| PCR, serology, microscopic observation: patient blood
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| Autism spectrum
| Mycoplasmal infections
| PCR |
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| PCR: detected in blood of patients |
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| Critical review: amylotrophic lateral sclerosis (ALS) |
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| Chronic depression | Numerous Gram-negatives
| IgA and IgM responses in patients |
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| Parkinson’s Disease |
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13C urea breath test, odd ratios for the association
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| Serology, ELISA (IgG antibodies) patient-based study |
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| DNA evidence: gastric biopsies of patients |
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| Schizophrenia |
| A correlation between contact with house cats in early
|
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| Prenatal exposure to
| Prospective association study |
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| Toxoplasma, Mycoplasma
| Hypothesis paper |
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| Antibodies against bacteria in blood of patients |
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| OTHER INFLAMMATORY CONDITIONS | |||
| Preeclampsia |
| PCR: placentas of 16 women |
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| Hypothesis and review |
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| Significant association with
| Review papers |
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| ELISA and qPCR of genomic DNA of bacteria from
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| Serology: Antibodies were analyzed at a first prenatal
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| Review paper discussing hypothesis of bacterial
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| Serology C-reactive protein (CRP), tumor necrosis factor
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| Chronic fatigue
| Comprehensive reviews |
| |
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| Serum IgA and IgM against LPS
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| Mycoplasmal infections
| PCR:
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| Various enterbacteria and
| IgG is patient blood |
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| Vitamin D receptor
| Cell wall deficient bacteria | Evade immune destruction by invading nucleated cells
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| Multiple organisms, including
| Paper discusses a model describing how multiple
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| Antiphospholipid
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| A review paper: Cross-reacting antibodies |
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| Various viral and bacterial
| General review paper reviewing co-infections |
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| Anti-
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| Sudden Infant Death
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| Review papers: seasonality, bacteriology |
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| Papers discuss markers of infection and inflammation
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| Toxaemic shock indicators in serum |
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| Other Inflammatory
| Papers discussing dysbiosis of gut microbiota |
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| Sarcoidosis |
|
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| Migraine |
| A randomized, double blind, controlled trial |
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| A meta-analysis of research between 2000 and 2013 |
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Figure 9. An elementary systems biology model of how iron dysregulation can stimulate dormant bacterial growth that can in turn lead to antigen production (e.g. of LPS) that can then trigger inflammation leading to cell death [184] and to a variety of diseases.
While it is recognised that this simple diagram is very far from capturing the richness of these phenomena, there is abundant evidence for each of these steps, but sample references for the numbered interactions are (1) [855– 858] (especially including the release of free iron from ferritin [452]), (2) [859– 861], (3) [285, 473, 475, 862– 869], (4) [476, 733, 870– 873], (5) [183, 184, 452], (6) [874, 875], (7) [876– 882], (8) [883], (9) [884– 886], (10) [887, 888].