Bibliographic record
Abstract
BACKGROUND: The novel coronavirus strain SARS-CoV-2 triggered the COVID-19 pandemic with severe economic and social ramifications. As the pathophysiology of SARS-CoV-2 infection in the respiratory system becomes more understood, growing evidence suggests that the virus also impacts the homeostasis-regulating neuroendocrine system, potentially affecting other organ systems. SUMMARY: This review explores the interactions between SARS-CoV-2 and the neuroendocrine system, highlighting the effect of this virus on various endocrine glands, including the brain, hypothalamus, pituitary, pineal, thyroid, parathyroid, adrenal glands, pancreatic islets, gonads, and adipose tissue. The viral invasion disrupts normal hormonal pathways, leading to a range of endocrine disorders, immune dysregulation, and metabolic disturbances. KEY MESSAGES: There is potential for SARS-CoV-2 to induce autoimmune responses, exacerbate existing endocrine conditions, and trigger new-onset disorders. Understanding these interactions is crucial for developing treatment strategies that address not only the respiratory symptoms of COVID-19 but also its endocrine complications. The review emphasizes the need for further research to elucidate the long-term effects of SARS-CoV-2 on endocrine health.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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 teacher head, 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".