https://www.sciencedirect.com/science/article/pii/S1568163726001728
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Summary
This is a narrative review arguing that insulin resistance in ageing should not be treated simply as defective glucose handling or a precursor to type 2 diabetes, but as a marker of declining metabolic resilience across muscle, adipose tissue, mitochondria, inflammatory systems, hormones, and the brain. The authors explicitly frame ageing-related insulin resistance as a multisystem loss of physiological reserve rather than an isolated insulin-signalling defect.
The paper’s core argument is built around three main tissue systems:
1. Skeletal muscle as the central vulnerability
The authors argue that ageing muscle is the dominant driver of late-life insulin resistance because skeletal muscle is the main site of postprandial glucose disposal. The key problem is not only sarcopenia, but loss of muscle quality: myosteatosis, mitochondrial dysfunction, reduced oxidative capacity, anabolic resistance, and impaired insulin-stimulated glucose uptake. This means an older person can have insulin resistance even without obesity if muscle metabolic reserve has declined.
2. Adipose tissue as an inflammatory amplifier
The review describes ageing adipose tissue as changing from a passive energy store into an endocrine and inflammatory organ. Visceral fat accumulation, adipose immune infiltration, adipocyte senescence, SASP signalling, reduced adipose expandability, and altered adipokines all amplify systemic insulin resistance. The paper stresses that this can occur even when BMI is not markedly elevated.
3. Brain insulin resistance as part of metabolic ageing
A major theme is that insulin resistance extends into the CNS. The authors link impaired brain insulin signalling to reduced cerebral glucose metabolism, neuroinflammation, synaptic dysfunction, cognitive decline, depression, and frailty. They argue that brain insulin resistance should be seen as downstream of systemic metabolic-resilience failure, not as a separate neurological phenomenon.
Mechanistically, the paper ties these tissue-level changes together through inflammageing, cellular senescence, mitochondrial dysfunction, impaired mitophagy, disrupted mitochondria–ER crosstalk, and hormonal dysregulation. The figures summarise this as a shift from a glucose/BMI-focused model to a reserve-oriented model that prioritises muscle function, inflammatory burden, brain health, body composition, and functional capacity.
Therapeutically, the authors argue for intervention aimed at preserving reserve rather than only lowering glucose. They emphasise resistance training, aerobic exercise, adequate protein, dietary quality, GLP-1 receptor agonists, SGLT2 inhibitors, bariatric surgery in selected cases, senotherapeutics, mitochondrial interventions, and intranasal insulin as possible components of a broader strategy. They also warn that in older adults, weight-loss drugs may worsen lean-mass loss unless paired with resistance training and protein support.
Novelty
The novelty is mainly conceptual rather than experimental. This is not a new dataset or systematic meta-analysis; it is a framework paper.
The most novel contribution is the “reserve-oriented” framing: insulin resistance is presented as a biomarker of declining physiological resilience across metabolic, musculoskeletal, inflammatory, and neurocognitive systems, rather than as a discrete glucose-regulatory defect.
A second useful novelty is the integration of frailty, sarcopenia, brain ageing, depression, and multimorbidity into the insulin-resistance framework. Many reviews focus on diabetes, obesity, or peripheral insulin signalling; this paper explicitly argues that late-life insulin resistance belongs in geroscience and geriatric medicine as much as in diabetology.
A third novel aspect is the therapeutic reframing: the clinical goal should not simply be lower glucose or lower body weight, but preservation of muscle function, metabolic flexibility, inflammatory control, and cognitive reserve. That is a useful corrective to glucose-centric and BMI-centric models, especially for older adults.
Critique
The main weakness is that the paper is a narrative review, so the strength of evidence varies substantially across its claims. The broad framework is plausible, but the review does not provide a formal search strategy, inclusion criteria, evidence grading, or quantitative weighting. As a result, it sometimes reads as a persuasive synthesis rather than a rigorous adjudication of competing evidence.
A second issue is that the paper may over-unify heterogeneous phenomena. “Insulin resistance” in muscle, liver, adipose tissue, brain, endothelium, and immune cells may not be the same biological process. Peripheral insulin resistance measured by HOMA-IR or clamp studies is not interchangeable with brain insulin resistance, frailty, or depression. The framework is attractive, but it risks treating insulin resistance as a general ageing signal rather than a precisely measurable mechanism.
Third, the causal direction remains incompletely resolved. The paper often implies that insulin resistance is a marker or driver of declining reserve, but in many cases it could also be a consequence of reduced activity, inflammation, adipose dysfunction, mitochondrial decline, disease burden, medication exposure, or acute illness. The authors do acknowledge context dependence, including the possibility that moderate insulin resistance in some older adults may not be uniformly harmful, but this point could have been developed more deeply.
Fourth, the therapeutic section is somewhat uneven. Resistance training and protein support have strong translational plausibility; senolytics, NAD⁺ precursors, exercise mimetics, mitochondrial interventions, and intranasal insulin are much more preliminary. The authors do note that senotherapeutics and mitochondrial-targeted approaches remain early-stage, with limited long-term evidence in older or frail populations, but the paper still groups mature and speculative interventions within the same broad model.
Finally, the paper could have been more precise about clinical implementation. A reserve-oriented model is useful, but clinicians would need operational thresholds: grip strength, gait speed, DXA or MRI body composition, inflammatory markers, CGM patterns, HOMA-IR, clamp-derived insulin sensitivity, cognitive tests, mitochondrial markers, or frailty indices. The paper gestures toward such integrated assessment, but does not provide a practical scoring system or decision algorithm.
Overall assessment
This is a strong conceptual geroscience review. Its value lies in reframing insulin resistance in older adults as part of a broader failure of muscle–adipose–brain metabolic resilience. The framework is clinically sensible and aligns well with the idea that ageing interventions should preserve function rather than merely normalise biomarkers.
The weakness is that the model is broader than the evidence base. It is best read as a hypothesis-generating clinical framework, not as proof that insulin resistance is the central causal mechanism of frailty, cognitive decline, or ageing-related multimorbidity.