From Elixirs to Geroscience: A Historical and Molecular Perspective on Anti-Aging Medicine (review December 2025)

https://www.mdpi.com/1420-3049/30/24/4728

chatGPT:

What this paper is (in one breath)

This is a narrative review that tries to connect (1) the cultural/history “anti-aging” story (elixirs → early rejuvenation experiments) to (2) modern geroscience mechanisms and interventions, then (3) where human translation/clinical trials are at, plus (4) add-on chapters on inflammaging/MIF, AI/digital health, and sex differences. (MDPI)


Summary of the core content

1) “Elixirs → biology”

The authors trace anti-aging thinking from mythic and pre-scientific traditions (ambrosia, Taoist elixirs, aqua vitae) to the turn-of-the-20th-century shift where aging became framed as a biological process (Metchnikoff, and the cautionary tale of Voronoff-style rejuvenation enthusiasm). (MDPI)

2) The modern “geroscience” mechanism stack

They present the familiar canonical machinery:

  • Nutrient sensing: mTOR, AMPK, sirtuins
  • Mitochondrial dysfunction, proteostasis, cellular senescence
  • Interventions mapped onto those pathways (dietary restriction variants, rapalogs, metformin, NAD+ boosters, senolytics, etc.). (MDPI)

3) Inflammaging, with emphasis on cytokines and MIF

A whole section frames aging as partly driven by chronic low-grade inflammation, listing canonical cytokines (IL-6, TNF-α, IL-1β) and explicitly foregrounding macrophage migration inhibitory factor (MIF) as part of the “cytokine signature”/inflammaging landscape. (MDPI)

4) Translation + clinical trials snapshot

They discuss how geroscience trials differ (endpoints, safety in “otherwise healthy” people, biomarker vs hard outcomes), and then provide a registry-derived snapshot of “registered clinical trials” with a stated registry pull date (10 Jan 2025). (MDPI)
Examples they highlight include rapalogs, NAD+ boosters, senolytics (e.g., D+Q), metformin-related work, and GlyNAC. (MDPI)

5) “Beyond pharmacology”: regeneration + AI/digital geroscience

They argue the field is becoming multimodal—organoids, regenerative approaches, and AI/digital phenotyping—paired with ethical worries (equity, over-medicalizing aging, endpoint definition). (MDPI)

6) Sex differences chapter

They emphasize the consistent XX vs XY longevity gap and connect it to telomeres, epigenetic clocks, hormones, and immune differences, arguing for sex-aware “precision geroscience.” (MDPI)


What’s actually novel here (vs “standard geroscience review #47”)

  1. The structure: it’s explicitly a history → mechanisms → trials → future-tech arc, rather than a purely mechanistic or purely clinical review. (MDPI)
  2. The inflammaging section’s “center of gravity”: many reviews do inflammaging, but this one gives unusually prominent space to MIF alongside the usual cytokines. (MDPI)
  3. Trial registry framing: they explicitly state a registry pull date and attempt a “landscape snapshot” of geroscience trials (even if it has caveats—see critique). (MDPI)
  4. A combined roadmap vibe: the paper leans into “combo gerotherapeutics + digital monitoring + AI” as a coherent near-future paradigm, rather than a sidebar. (MDPI)

Net: the novelty is more about curation + framing than new biological claims.


Critique (what to be careful about)

1) It’s broad, but not “systematic”

This reads as a narrative synthesis, not a systematic review with explicit search strategy, inclusion/exclusion rules, bias assessment, etc. That’s fine for orientation, but it means:

  • you can’t treat its intervention rankings as evidence-weighted, and
  • “consistent benefits” language can slide past heterogeneity and null results. (MDPI)

2) “Clinical translation” can sound more mature than it is

They acknowledge translation is early, yet some passages imply a stronger through-line from biomarkers to meaningful outcomes than the field has conclusively shown. In the trials discussion, several examples are still small / early-phase / endpoint-limited, and even the authors note inconsistency (e.g., senolytics differing by tissue/disease). (MDPI)

3) Trial “snapshot” is dated relative to publication

They say the clinical-trial landscape was pulled on 10 Jan 2025, while the article itself is dated 10 Dec 2025. That’s an 11-month window in a fast-moving area; some trial statuses, endpoints, or even relevance could have shifted by publication. (MDPI)

4) Source quality is uneven in places

In the references list, they include at least one clearly non-primary, non-peer-reviewed web source (a blog-style page) for an FDA-related NMN item. That’s a red flag for rigor: regulatory claims should ideally be anchored to FDA documents, Federal Register notices, or formal communications—not secondary commentary. (MDPI)

5) Mechanistic “lumping”

As with many umbrella longevity reviews, very different intervention classes (rapalogs, NAD boosters, senolytics, antioxidants like GlyNAC) can end up presented on a similar conceptual plane (“targets hallmarks → improves biomarkers”), even though:

  • strength of evidence differs massively across classes,
  • mechanisms may be context-dependent, and
  • risks/contraindications vary (especially relevant if thinking about off-label use). (MDPI)

6) The MIF emphasis needs triangulation

MIF is real biology, but the degree of emphasis here is a choice. If you’re using this to guide priorities, it’s worth cross-checking how central MIF is in other mainstream inflammaging syntheses versus being an “authorial lens.” (MDPI)


If you want, I can turn this into a claim-by-claim table (claim → evidence type → how strong it is → what would falsify it), which is usually the quickest way to separate “solid” from “review gloss.”

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