Chronic Inflammation and Amyloidogenesis in Alzheimer's Disease: The Emerging Role of Infection
Bibliographic record
Abstract
The realization that pathogens can produce slowly progressive chronic diseases has resulted in new concepts of infectious diseases. A number of chronic diseases are caused by one or more infectious agents: e.g., stomach ulcer is caused by Helicobacter pylorii; chronic lung disease in newborns and chronic asthma in adults are both caused by Mycoplasmas; and, Chlamydia pneumoniae and some other pathogens have been associated with atherosclerosis. It has been known from a century that dementia and amyloidosis can be caused by chronic bacterial infection, namely by Treponema pallidum in the atrophic form of general paresis in syphilis. Alzheimer’s disease (AD), the most frequent cause of dementia, is a form of amyloidosis. The pathological mechanisms driving the accumulation of amyloid remain unclear. Pathogens (e.g., bacteria, viruses) are powerful stimulators of inflammation and were suggested to be one of the contributors in generating and sustaining chronic inflammation and amyloid deposition in AD. The concept is not new as it was discussed by Alzheimer and his colleagues a century ago. The fact that pathogens may suppress, subvert or evade host defenses and establish chronic or latent infection has received little attention in the past. During infection, active oxygen and nitrogen species generated by inflammatory cells may cause DNA damage, induce apoptosis, and modulate enzyme activities and gene expression. Depending upon the biology of the pathogen and the host defense mechanisms the organism can persist in the infected tissues, resulting in chronic inflammation. Pathogens may also elicit an autoimmune response without persistence of the initiating agent. The outcome of infection is as much determined by the genetic predisposition of the patient as by the virulence and biology of the infecting agent. Environmental factors and nutrition are critical determinants of disease expression as well. The goal of this special issue is to bring together a few of those scientists who have contributed significantly to this emerging field of research in order to guide new researchers toward highly productive investigations. Highest priority should be given for such research in the future. It may have major implications for public health, treatment, and prevention as adequate anti-bacterial and anti-viral drugs are available. Treatment of a bacterial infection and associated viral infection may result in regression and, if started early, prevention of disease. The impact on reducing health-care costs would be substantial.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.002 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".