Systemic Inflammation Perturbs Developmental Retinal Angiogenesis and Neuroretinal Function
Bibliographic record
Abstract
PURPOSE: Perinatal inflammatory stress in preterm babies is associated with increased rates of severe retinopathy of prematurity (ROP) and adverse neurological dysfunction. In this study, we set out to determine the consequences of severe systemic inflammatory stress on developmental retinal vascularization and evaluate the subsequent outcome on retinal function in later life. METHODS: Systemic inflammatory stress was induced in C57BL/6J mouse pups by an intraperitoneal injection of lipopolysaccharide (LPS; 1 mg/kg) at postnatal day 4. In response to LPS, retinal inflammation was confirmed by quantitative RT-PCR analysis of diverse inflammatory markers. A detailed and systematic analysis of retinal microglial infiltration, retinal vascular morphology, density, and growth rate was performed at key time points throughout retinal vascularization. Retinal function in adult life was assessed by using electroretinography at 6 weeks postinjection. RESULTS: As early as 48 hours after intraperitoneal administration of LPS, a significant increase in retinal vascular density was noted throughout the retina. A pronounced increase in the number of activated microglial cell was observed in the retinal ganglion cell layer and in the outer plexiform layer just prior to their vascularization; direct physical contact between activated microglia and sprouting vessels suggested that microglia partake in promoting the aberrant retinal vascularization. With maturity, animals subjected to perinatal inflammatory stress displayed depleted retinal vascular beds and had significantly decreased retinal function as determined by electroretinography. CONCLUSIONS: Our data reveal that early severe postnatal inflammatory stress leads to abnormal retinal vascular development and increased vessel anastomosis and, ultimately, permanently compromises retinal function. The aberrant and initially exaggerated retinal vascularization observed is associated with microglial activation, providing a cellular mechanism by which perinatal sepsis predisposes to ROP.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".