Rejuvenation alleviates prolonged postsurgical pain in aging mice by mitigating inflammaging
Bibliographic record
Abstract
ABSTRACT: As individuals age, they often experience persistent, unresolved pain, impacting their quality of life. Aging as a process is accompanied by "inflammaging," a state of chronic, low-grade systemic inflammation contributing to various diseases. Understanding the functional link between inflammaging and age-related development of pain is crucial for identifying novel therapeutic targets. We hypothesized that the circulatory milieu plays a role in regulating pain and that inflammaging contributes to changes in pain behavior with age. To test these hypotheses, we monitored nociception and postsurgical pain in male and female mice aged 3 and 24 months and analyzed their serum proteome, including cytokine/chemokine profiles. Our results demonstrated that compared with young mice, aging mice were hyposensitive to mechanical stimulation, yet their pain response to incision was aggravated and prolonged. Serum proteomic analysis revealed sex-specific inflammaging patterns. To explore the link between inflammaging and age-related alteration in pain behavior, we applied a rejuvenation strategy by transferring serum from 3-month-old mice to 19- to 21-month-old mice. Young serum normalized mechanical sensitivity in aged mice, alleviated postsurgical mechanical pain, and promoted recovery. Alongside the improvements in pain behavior phenotype, young serum recalibrated the aging serum profile. It reduced age-associated increases of cytokine/chemokine levels in male mice and rescued age-related, female-selective downregulation of inflammatory pathways such as liver X receptor/retinoid X receptor activation, D24-dehydrocholesterol reductase, and complement signaling. Our findings suggest that the circulatory environment, notably inflammaging, plays a significant role in altered pain behavior of aging mice. The sex-specific signature of age-dependent systemic inflammation highlights the importance of investigating inflammaging through the lens of sexual dimorphism.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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".