Evidence map›Paper›PMID 41614753›Full record

ReviewCurrent issues in molecular biology2025

Senescence Modulation: An Applied Science Review of Strategies in Anti-Aging, Regenerative Aesthetics, and Oncology Therapy.

Steven Januar Kusmanto

Abstract readReview
In one paragraph

Review in Current issues in molecular biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Frontiers in pharmacology · 2026
    Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Steven Januar KusmantoDepartment of Health Profession, Università San Raffaele Roma, Via di Val Cannuta, 247, 00166 Roma, Italy.ORCID 0009-0003-6483-2949

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cellular senescence is an irreversible cell cycle arrest, triggered by stressors like telomere shortening, DNA damage, and oncogenic signaling. These cells, often referred to as 'zombie cells' because they cease dividing yet resist apoptosis, drive the Senescence-Associated Secretory Phenotype (SASP), releasing pro-inflammatory cytokines, chemokines, growth factors, and matrix-remodeling enzymes. While senescence is a protective mechanism against malignant proliferation, its persistence in tissues contributes to aging and age-related diseases (inflammaging). Recognizing this dual role forms the basis for developing therapies that bridge anti-aging, regenerative medicine, and oncology, as precise molecular regulatory mechanisms remain incompletely understood. This review interrelates these disciplines, focusing on targeted interventions against senescent cells (SnCs). These interventions include senolytics (agents that selectively eliminate SnCs) and senomorphics (agents that suppress the SASP), offering translational insights from anti-aging/aesthetic applications into integrated treatment models. The framework addresses cancer therapeutics via immunologic modalities such as monoclonal antibodies (mAbs) and CAR T-cell therapy, alongside nucleic acid-based therapeutics (mRNA and siRNA), and is used in combination with broad-spectrum therapeutics. The novelty lies in synthesizing these disparate fields, unified by cellular senescence as a central mechanistic target. Ultimately, the goal is to identify targets that induce tumor regression, mitigate age-related vulnerabilities, promote tissue homeostasis and regeneration, and improve quality of life and overall survival.

Indexed as

aesthetic medicineanti-aging medicinecancer therapyoncologysenescencesenolyticssenomorphicssenotherapeuticstargeted therapy

Identifiers

PMID41614753
PMCPMC12731403

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.