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    Aesthetic Intelligence

    Peer-reviewed, open-access research, reviews, case reports and clinical commentary across injectables, skin health, regenerative medicine and patient safety.

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    Review Article · Aesthetic Intelligence · Vol 1 · Issue 8

    The Ageing CurveA Staircase, Not a Ramp

    Facial ageing does not arrive at a constant rate. Once you accept the curve, the question changes from what to treat to when to look — and what treatment done early is quietly buying.

    Dr Ahmed Haq1

    1. 1 MB BCh BAO, LRCPS&I, MSc Surgical Technology (Imperial College London). Cosmedocs and Harley Street Institute, London, United Kingdom

    Corresponding author: journal@harleystreetinstitute.com

    Journal: Aesthet Intell

    DOI: to be assigned

    Volume / Issue: 1 / 8

    Pages: 232–247

    Received: 2026-08-22

    Accepted: 2026-08-30

    Published: 2026-08-31

    Licence: CC BY 4.0

    Clinical Review

    Ask most patients when their face began to change and the answer is rarely a date. It is a mirror, a photograph, a video call, noticed on an ordinary day and dated only approximately — “the last year or two”, “since I turned forty-odd”.

    Ask the same question of the biology underneath the face and a more specific answer is starting to emerge, not because the underlying mechanisms have changed, but because the tools used to study them have improved enough to show that “gradually, over the years” was always an approximation.

    The working model in most aesthetic consultations is still implicitly linear: a face ages by a roughly constant amount each year, and treatment is scheduled reactively, when a particular feature becomes bothersome enough to act on. That model is administratively convenient. It is also, on the evidence set out below, a reasonably poor description of what the tissue is actually doing.

    The staircase, not the ramp, is currently the better working picture — and a staircase changes when you look, not only what you do.

    Abstract

    Background.
    Aesthetic medicine has traditionally treated facial ageing as a gradual, steady process, best managed reactively: patients return when a feature bothers them, and that feature is corrected in isolation. A growing body of longitudinal biological evidence complicates that model. Multiple independent studies now report that markers of human ageing change in clustered, non-linear patterns rather than a smooth decline, with recurring evidence of accelerated windows in the fifth and sixth decades of life.
    Methods.
    Narrative clinical review of longitudinal proteomic and multi-omic ageing datasets, endocrinological studies of dermal collagen across the menopausal transition, and systematic reviews of biostimulatory aesthetic interventions. Evidence is appraised for robustness and explicitly separated into findings that are firmly established and findings currently under editorial or methodological scrutiny. No pooling was performed.
    Results.
    Two independent strands emerge. First, general biological ageing appears clustered rather than smooth: only 6.6% of markers in a 2024 longitudinal multi-omic dataset changed in a straight-line fashion, with 81.0% changing non-linearly — although the widely quoted specific ages of approximately 44 and 60 rest on peak-detection analyses now subject to an editor's note and pending correction. Second, and independent of that dispute, dermal collagen declines at roughly 1–2% per year from the mid-twenties and is sharply accelerated by oestrogen withdrawal at menopause, with reported losses in the region of 30% across the first five postmenopausal years. Injectable and energy-based treatments do not alter either process; genuinely biostimulatory interventions produce local, measurable, modest increases in fibroblast activity and collagen synthesis.
    Conclusion.
    Treatment timing should be an explicit part of clinical planning, not only treatment selection. The defensible claim for biostimulatory treatment is that it raises tissue reserve ahead of a known acceleration window, not that it alters the biology of ageing. Four patient archetypes — plateau, approaching, accelerating and second-wave — provide a practical framework for consultation cadence and treatment emphasis. Clinicians citing the non-linear ageing literature should represent its current uncertainty honestly and rely on the menopause-specific evidence as the firmer ground.

    Keywords: facial ageing, non-linear ageing, dermal collagen, menopause, treatment timing, biostimulation, consultation planning, injectable medicine

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    Learning Objectives

    1. 1Distinguish the robust evidence for non-linear ageing from the specific peak ages currently under editorial review
    2. 2Describe the mechanism and timeframe of accelerated dermal collagen loss across the menopausal transition
    3. 3Separate corrective from genuinely biostimulatory treatment and state the claim each supports
    4. 4Position a patient on the ageing curve using four stages and adjust consultation cadence accordingly
    5. 5Explain apparent treatment under-performance during an acceleration window to a patient
    6. 6Recognise when menopause care referral is the most effective intervention available

    The Ageing Curve — Quick Reference

    What the Evidence Says

    Linear markers
    6.6% of measured markers (2024 multi-omic dataset)
    Non-linear markers
    81.0% of measured markers
    Reported peaks
    ~44 and ~60 — under editorial review, cite with caution
    Baseline collagen loss
    ~1–2% per year from the mid-twenties
    Menopausal cliff
    ~30% dermal collagen across the first 5 postmenopausal years
    HRT effect
    Measurably higher skin collagen than untreated peers (Brincat 1983)

    Four Stages, Four Emphases

    Plateau (20s–mid 30s)
    SPF, retinoid, barrier; resist single-feature correction
    Approaching (early–mid 40s)
    Full five-domain read; stronger case for biostimulation
    Accelerating (perimenopause–mid 50s)
    Shorter review interval; menopause care referral
    Second wave (early–mid 60s)
    Honest non-surgical ceiling; surgical referral where indicated

    What Treatment Does and Does Not Do

    Does not
    Alter molecular ageing or oestrogen trajectory
    Corrective
    Manages the visible consequence — filler, toxin, support
    Biostimulatory
    Local, measurable, modest increase in collagen synthesis
    Defensible claim
    Raises tissue reserve before a known acceleration window

    Consent and Expectation Setting

    Apparent under-performance
    Steep-window treatment can look like early fade
    Population vs individual
    The curve directs when to look, not what will happen
    Evidence honesty
    Cite the menopause data as firm; flag the 44/60 dispute

    1. Introduction

    Ask most patients when their face began to change and the answer is rarely a date. It is a mirror, a photograph, a video call, noticed on an ordinary day and dated only approximately — “the last year or two”, “since I turned forty-odd”. Ask the same question of the biology underneath the face, and a more specific answer is starting to emerge, not because the underlying mechanisms have changed, but because the tools used to study them have improved enough to show that “gradually, over the years” was always an approximation.

    The working model in most aesthetic consultations is still implicitly linear: a face ages by a roughly constant amount each year, and treatment is scheduled reactively, when a particular feature becomes bothersome enough to act on. That model is administratively convenient. It is also, on the evidence set out below, a reasonably poor description of what the tissue is actually doing.

    This review sets out the current state of that evidence, distinguishes the parts of it that are robust from the parts still being argued over, and translates it into something more useful than a caveat: a practical basis for deciding not only what to treat, but when to look harder, and when treatment done early is doing more than it appears to. It closes with a short worked framework, positioning four patient types at different points on the curve, of the kind a training clinic sees in an ordinary week.

    2. The Evidence for Non-Linear Ageing

    The idea that biological ageing might not be a straight line is not new. Cross-sectional and longitudinal studies of the blood proteome have described “waves” of change across the lifespan for some years; a 2019 analysis of plasma proteins identified three periods of pronounced change, centred around the ages of 34, 60 and 78. What has changed recently is the scale and resolution of the data available to test the idea.

    The most widely reported recent contribution is a 2024 longitudinal study from Stanford, which tracked more than 135,000 molecular and microbial features across 108 adults aged 25 to 75, sampled every three to six months. Its central, more basic finding is on solid ground: using standard linear-regression and correlation methods, only 6.6% of the markers studied changed in a simple straight-line fashion with age. The great majority — 81.0% — changed non-linearly. That distinction alone is a reasonable basis for treating “ageing is gradual” as an oversimplification rather than a fact.

    The more specific, more widely quoted claim from the same study — that molecular change clusters sharply around two ages, approximately 44 and 60 — rests on a more technically demanding sliding-window analysis, and it is this specific analysis that readers should treat with particular care. As of July 2026, the journal has attached an editor's note to the paper stating that, following review by the authors and independent researchers, the reliability of the peak-detection analyses used to identify those two ages is currently in question, with corrections pending. Independent commentators had already raised a related concern before that notice: with a median follow-up of only 1.7 years per participant, the design is arguably better suited to comparing groups of different ages than to demonstrating that any single person's biology accelerates at 44 or 60.

    None of this means the underlying phenomenon is wrong — the earlier 2019 dataset, using different proteins, found waves at different but nearby ages, and a 2026 cross-disciplinary review concluded that the overall case for non-linear ageing, gathered across genomic, epigenetic and physiological evidence, is now substantial. It does mean that the precise ages 44 and 60 should currently be treated as a provisional finding under review rather than an established clinical fact, and clinicians citing this paper to patients or in teaching should say so.

    For aesthetic practice, a separate and considerably older body of evidence is more directly useful, because it is tissue-specific, mechanistically clear, and not implicated in the dispute above. Dermal collagen content declines at a fairly steady rate of roughly 1–2% per year from the mid-twenties. In women, that decline is sharply accelerated by the loss of oestrogen around the menopausal transition: a foundational 1983 study found that postmenopausal women on hormone replacement carried substantially more skin collagen than untreated women of the same chronological age, and later work quantified the untreated decline at around 2% of collagen content per postmenopausal year over roughly fifteen years. More recent reviews describe a “collagen cliff” specifically in the first five years after the final period, with losses in the region of 30% over that window before the decline settles to its longer-term rate. Facial bone density and skin thickness appear to follow a broadly similar accelerated pattern across the same years.

    Taken together, the two strands point in the same direction without depending on each other: general biological ageing appears to cluster rather than progress smoothly, and — independently of that — women experience a specific, hormonally driven, well-evidenced acceleration in the tissue most relevant to facial appearance during the menopausal transition. The staircase, not the ramp, is currently the better working picture.

    6.6%

    Markers changing linearly

    2024 longitudinal multi-omic dataset, n = 108

    81.0%

    Markers changing non-linearly

    Same dataset, standard regression methods

    1–2%

    Annual dermal collagen loss

    From the mid-twenties, both sexes

    ~30%

    Collagen lost post-menopause

    Across the first five years after the final period

    Figure 1The ageing curve: staircase versus rampSchematic, illustrative representation sketched from the published rates discussed in Section 2 rather than plotted from a single dataset. The dashed series shows the linear model implicit in most consultation planning; the solid series shows the clustered pattern the current evidence describes. Precise ages attached to the first acceleration window are under editorial review — see main text.
    100%75%50%25%0%25303540455055606570Relative tissue reserve (%)Linear model (assumed)Clustered model (observed)

    Source: Constructed for this review from Lehallier 2019, Shen 2024 (under editorial review), Brincat 1983 and Viscomi 2025.

    3. What Injectable and Aesthetic Treatments Actually Change

    It is worth being precise about what follows from this, because the temptation in aesthetic medicine is to reach for the stronger claim. Injectable and energy-based treatments do not alter the biological drivers described above. They do not slow the molecular shifts of early middle age, whatever their eventual resolution turns out to be, and they certainly do not alter the trajectory of circulating oestrogen at menopause. Nothing in a syringe changes hormonal physiology. Any claim to the contrary belongs with the other overclaims already catalogued in the aesthetic advertising literature, not in a clinical framework.

    What treatment can change is narrower, but genuinely useful, and worth separating into two categories that are frequently and unhelpfully treated as one.

    The first category is corrective: treatments that address the visible consequence of tissue change without altering the tissue's underlying trajectory. Volume replacement in a deflated cheek, support along a descended jawline, and botulinum toxin reducing the mechanical force of a hyperactive muscle all sit here. They are legitimate, often the correct clinical choice, and entirely honest — provided they are presented as what they are: management of a visible consequence, not a change to the process producing it.

    The second category is genuinely biostimulatory, and this is where the more interesting clinical argument sits. Controlled resurfacing (microneedling, selected peels), autologous and injectable skin-quality treatments (platelet-rich plasma, polynucleotides, hyaluronic acid–amino acid combinations), and biostimulatory fillers (poly-L-lactic acid, calcium hydroxylapatite) have evidence for genuinely increasing local fibroblast activity and collagen synthesis, not merely disguising its absence. This is a real, local, measurable effect. It is also a modest one relative to the systemic forces described in Section 2, and the evidence base — while growing — remains product- and protocol-specific rather than settled.

    The honest clinical argument, then, is not that these treatments “flatten the curve”. It is that they can raise the tissue's starting position before a known acceleration window arrives. A dermis carrying a better collagen and hydration reserve going into the menopausal transition — because it has spent several years on a foundation of SPF, a tolerated retinoid, and appropriately timed biostimulatory treatment — will very plausibly show less of the resulting decline than a dermis that enters that transition already depleted by accumulated photodamage and years of untreated neglect. That is a claim about starting position and accumulated reserve, not about altering the mechanism, and it is the claim this review is willing to defend.

    There is a second, more immediate clinical implication. A treatment begun just as a patient enters a steep segment of the curve can appear to underperform relative to the same treatment given during a plateau year, simply because the tissue is losing ground at the same time treatment is trying to add it. Patients are not, as a rule, told this in advance. They should be: a result that looks like it “faded fast” during a known acceleration window is not necessarily evidence that the treatment, or the injector, failed.

    4. Four Patients, Four Points on the Curve

    The following four vignettes are the kind familiar to any Harley Street practice; the first is illustrated with one documented case, reported in full elsewhere.

    4.1 The Plateau Patient (twenties to mid-thirties). This patient sits, biologically, on the flat part of the staircase. Intrinsic ageing has barely begun to show; the dominant risk to her future face is accumulated extrinsic damage — ultraviolet exposure, unmanaged pigment, inconsistent care — rather than any structural loss. A documented case from this practice illustrates the point precisely: a woman in her early thirties, previously treated at several clinics with unsequenced botulinum toxin and filler, presenting with generalised loss of skin vitality rather than any single correctable feature.

    The clinical priority at this stage is almost entirely foundational: broad-spectrum SPF, a tolerated retinoid, barrier support, and — where indicated — light biostimulatory treatment rather than structural correction. The temptation to treat this patient reactively, addressing whichever feature she raises in isolation, should be resisted; it was precisely that pattern, repeated across several previous providers, that produced her presenting complaint. The correct question for a plateau patient is not “what would you like changed” but “what is the least we need to do now, done consistently, to arrive at the next acceleration window in the best possible condition.” Note the asymmetry: doing too little here is the common failure, not doing too much.

    4.2 The Approaching Patient (early-to-mid forties). This patient is entering, or about to enter, the first widely reported window of accelerated change — whatever its precise boundaries turn out to be once the current review of the underlying dataset concludes. Clinically, she often presents with vague, hard-to-localise concerns: a sense that something has changed without a clear feature to point to, tiredness that photographs worse than it feels, early static change in previously dynamic lines.

    This is the point at which consultation cadence deserves to change, independent of what the patient has booked in for. A full five-domain read — skin, movement, volume and support, laxity and descent, proportion — is more valuable here than at any point since her twenties, because early identification of which domain is moving first allows treatment to stay ahead of visible change rather than correct it after the fact. Foundational skin care, if not already well established, should be treated with more urgency than it was five years earlier; biostimulatory treatment earns a stronger case here than in the plateau years. Structural correction, by contrast, is usually still premature — the risk at this stage is treating an early skin-quality signal as though it were a volume problem.

    4.3 The Accelerating Patient (perimenopause to established menopause, roughly mid-forties to mid-fifties). This is the patient for whom the evidence in Section 2 is least contested and most actionable. The mechanism is specific — falling oestrogen, reduced fibroblast collagen output, increased collagenolytic activity — and the timeframe is comparatively well defined: the sharpest phase of dermal collagen loss in the published literature sits in the first five years following the final menstrual period. Bone density and skin thickness are declining across a similar window, which is part of why facial support and skin quality often deteriorate together at this stage rather than in the sequence a linear model would predict.

    Three things distinguish good practice here. First, visit frequency: a patient in this window benefits from closer-spaced review than the standard interval, because the rate of change within the window is itself elevated and a plan set six months ago may already be out of date. Second, the honest expectation-setting described in Section 3 — that a given treatment may appear to hold less well here than it did five years earlier, through no fault of the treatment. Third, and most distinctively, this is the stage at which the correct clinical action may sit outside the room entirely. Because the dominant driver is systemic hormonal change, a conversation about menopause care with the patient's GP or a menopause specialist is a legitimate and sometimes the single most effective intervention available — hormone replacement therapy has been directly shown, in the foundational literature on this subject, to preserve measurably more dermal collagen than no treatment. An aesthetic practice with no comfortable way of raising this is, for a meaningful proportion of patients in this window, withholding the most effective lever it has access to.

    4.4 The Second-Wave Patient (early-to-mid sixties). Whatever the eventual resolution of the specific age attached to it, a second period of broadly reported biological change centres on the early sixties, and clinically this tends to present differently from the perimenopausal window: less about skin quality in isolation, more about laxity, descent, and the visible consequences of several decades of accumulated bone remodelling and fat repositioning finally reaching a threshold.

    The central clinical judgement at this stage is the one addressed at length elsewhere in this series: distinguishing what a non-surgical treatment can honestly achieve from what has become surgical territory, and saying so plainly rather than offering an escalating series of non-surgical treatments as a substitute for that conversation. Energy-based remodelling and continued biostimulatory support remain legitimate tools for skin quality and modest laxity; they are not a substitute for surgical repositioning where descent is established, and presenting them as one is the least defensible version of the camouflage-versus-biostimulation distinction drawn in Section 3. This is also the stage at which the population-level caveat matters most in practice: patients arriving at their early sixties carry markedly different amounts of accumulated sun exposure, smoking history and prior treatment, and the range of what is normal at this stage is wide.

    Table 1

    Reading the ageing curve in practice

    Four stages, four consultation emphases. Approximate windows are population tendencies, not a schedule for the individual patient.

    StageApprox. windowDominant driverConsultation focusTreatment emphasis
    Plateau20s – mid 30sExtrinsic accumulation (UV, pigment); minimal intrinsic lossEstablish the five-domain read; resist reactive, single-feature correctionSPF, tolerated retinoid, barrier support; biostimulation if indicated
    ApproachingEarly–mid 40sFirst reported acceleration window (precise age under review)Repeat full five-domain read; identify which domain is moving firstReinforce foundation; stronger case for biostimulatory treatment
    AcceleratingPerimenopause – mid 50sOestrogen withdrawal; established collagen and bone density lossShorten review interval; set expectations for apparent under-performanceSkin-quality treatment; GP / menopause specialist referral where indicated
    Second waveEarly–mid 60sSecond reported window; cumulative laxity, descent, skeletal changeHonest assessment of the non-surgical ceilingEnergy remodelling and skin quality; surgical referral where indicated

    Adapted from the framework set out in Sections 4 and 5.

    5. Clinical Implications: Reading the Curve in Practice

    Three practical changes follow from the material above, none of which require new equipment or a change to what is actually injected.

    The first is consultation cadence. A patient plan made once and topped up indefinitely — treating whatever is loudest at each visit, the pattern already identified in this series as the central failure of unplanned aesthetic care — will always eventually be describing a face that has moved on. Scheduling a full five-domain reassessment at the approach of each known window, rather than only when the patient raises a new concern, is a defensible clinical policy on the evidence set out here, not a marketing device.

    The second is where foundational treatment sits in the sequence. Broad-spectrum SPF and a tolerated retinoid are usually presented as the entry level of the treatment pyramid — true, but potentially undersold by that framing. On the evidence above, foundational care is most valuable precisely when it looks least necessary: in the plateau years and the approach to a known acceleration window, not as a rescue measure once decline is already visible.

    The third is a matter of honesty in both directions. Practitioners should not claim that any injectable or energy-based treatment alters the biological drivers of ageing; the correct claim is narrower — that treatment changes what is visible, and that well-timed biostimulatory treatment can improve a patient's tissue reserve ahead of a window in which reserve matters more than usual. Equally, practitioners should not treat every consultation as an opportunity to find something to correct. A patient standing on a flat section of the curve, as several will be in any given week, is very often best served by very little.

    Two limitations deserve stating plainly. Everything in Section 2 is population-level evidence; individual variation in genetics, sun exposure, smoking and general health is substantial, and the curve is a reason to look more carefully at certain ages, not a forecast for any specific patient. And a meaningful part of the general-biology evidence — specifically, the precise ages attached to the first acceleration window — is, at the time of writing, under active editorial review. Clinicians using this material in patient-facing education should represent that honestly, citing the menopause-specific evidence, which is not in dispute, as the firmer ground.

    6. Conclusion

    The central argument of this review is not that aesthetic medicine has been getting the treatments wrong. It is that treatment timing has been under-examined relative to treatment selection, and that a growing, if unevenly settled, body of evidence gives clinicians a more specific basis for that timing than “come back if something bothers you”.

    Facial reading — skin, movement, volume and support, laxity and descent, proportion — has always been the discipline this journal argues for. What the ageing curve adds is a fifth dimension to that reading: not only what is happening to a given face, but where, on a trajectory now reasonably well understood to be uneven, that face currently sits. Understanding the face, understanding the person and understanding the problem was never only a question of anatomy. Increasingly, it is also a question of timing.

    Competing Interests

    The author(s) declare no competing financial or non-financial interests relevant to this work.

    Funding

    This work received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.

    Ethics & Consent

    Where applicable, ethical approval and informed patient consent were obtained in accordance with the Declaration of Helsinki. Reviews and commentaries did not require ethical approval.

    HSI Editorial · Reflection & Forward Recommendations

    Where we stand on this

    Reflection

    The strongest evidence in this review is the oldest: oestrogen withdrawal and dermal collagen, described in 1983 and never seriously contested. The newest and most quoted evidence is the part currently under editorial review.

    Treatment does not change the curve. It changes the starting position the patient brings to it — which is a smaller claim, and the only one this review will defend.

    A plateau patient is the hardest consultation in aesthetic medicine, because doing very little is the correct answer and the least commercially convenient one.

    Forward Recommendations

    1. Record where each patient sits on the curve at every consultation, alongside the presenting concern.
    2. Schedule a full five-domain reassessment at the approach of each known window rather than only when a new concern is raised.
    3. Front-load foundational care — SPF, tolerated retinoid, barrier support — in the plateau and approaching years, when it looks least necessary.
    4. Warn patients treated inside an acceleration window that apparent early fade may reflect the curve, not the treatment.
    5. Develop a comfortable, non-promotional way of raising menopause care and referring to a GP or menopause specialist.
    6. Never claim that an injectable or energy-based treatment slows biological ageing; describe reserve, not reversal.
    7. When teaching or citing the non-linear ageing literature, state that the specific ages of 44 and 60 are under editorial review.

    Editorial position of the Harley Street Institute. Authored by the HSI Clinical Review Board; not a substitute for the peer-reviewed evidence summarised above.

    References

    1. Grolaux R, et al. Embracing non-linearity in human ageing. Nat Rev Genet. 2026.
    2. Lehallier B, et al. Undulating changes in human plasma proteome profiles across the lifespan. Nat Med. 2019;25:1843–1850.
    3. Shen X, Wang C, Zhou X, Zhou W, Hornburg D, Wu S, Snyder MP. Nonlinear dynamics of multi-omics profiles during human aging. Nat Aging. 2024;4(11):1619–1634. Editor's note appended 15 July 2026 regarding the reliability of the peak-detection analyses used to identify ages of change.
    4. Attia P. Do humans age in distinct rapid bursts instead of gradually over time? peterattiamd.com; 2024.
    5. Brincat M, Moniz CF, Studd JWW, Darby AJ, Magos A, Cooper D. Sex hormones and skin collagen content in postmenopausal women. Br Med J (Clin Res Ed). 1983;287(6402):1337–1338.
    6. Viscomi B, et al. Managing menopausal skin changes: a narrative review of skin quality changes, their aesthetic impact, and the actual role of hormone replacement therapy in improvement. J Cosmet Dermatol. 2025.
    7. Foppiani JA, et al. Microneedling for facial rejuvenation: a systematic review. Aesthetic Plast Surg. 2025;49:4949–4960.
    8. Qin N, et al. Systematic review of platelet-rich plasma and platelet-rich fibrin in facial rejuvenation. Ann Plast Surg. 2025;94(4S Suppl 2):S376–S389.
    9. Lee KWA, et al. Polynucleotides in aesthetic medicine: a review of current practices and perceived effectiveness. Int J Mol Sci. 2024;25(15):8224.
    10. The effectiveness of injectable hyaluronic acid in the improvement of facial skin quality: a systematic review. J Cosmet Dermatol. 2023.
    11. Mosteirin M, et al. Efficacy and safety of amino acid-enriched hyaluronic acid in facial rejuvenation: a systematic review and meta-analysis. J Cosmet Dermatol. 2026;25(3):e70741.
    12. Haq A. Aesthetic Intelligence: How to Read Your Face Before You Treat It. Cosmedocs / Harley Street Institute; 2026.
    13. Sykes JM, et al. Superficial and deep facial anatomy and its implications for rhytidectomy. Facial Plast Surg Clin North Am. 2020;28(3):243–251.

    Declarations

    Peer review:
    This article underwent single-blind external peer review by at least two independent reviewers, followed by editorial acceptance.
    Conflicts of interest:
    The author(s) declare no competing financial or commercial interests relating to the content of this article. Editorial decisions are made independently of the Harley Street Institute's commercial training activities.
    Funding:
    No external funding was received for the preparation of this article.
    Licence:
    © 2026 Harley Street Institute. Open access article distributed under the Creative Commons Attribution 4.0 International Licence (CC BY 4.0), permitting unrestricted use with appropriate citation.

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    Aesthetic Intelligence

    Peer-reviewed, open-access research, reviews, case reports and clinical commentary across injectables, skin health, regenerative medicine and patient safety.

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