Working Paper · Nutritional Biochemistry

Sunlight & Metabolic Health

Sunlight is not one exposure but eight, stacked in a single beam — infrared, red, green, blue, and three bands of ultraviolet, each driving a different pathway on a different tissue. The UVB that raises skin cancer risk through direct DNA damage is the same UVB that drives vitamin D synthesis and immune modulation linked to lower rates of over a dozen other cancers. Untangling which claim rests on which band, and on what kind of evidence, is the point of this paper.

Abstract

“Sun exposure” is not a single variable. Ultraviolet B (280–315nm) drives both the strongest cancer-causing pathway in this paper (direct DNA mutation in skin cells) and the strongest cancer-protective one (vitamin D and immune modulation) — through two different molecular routes in the same tissue. Ultraviolet A (315–400nm) and visible light drive a separate, better-tolerated pathway: cutaneous nitric-oxide release that lowers blood pressure. Visible and infrared bands drive circadian entrainment, mitochondrial and keratinocyte signaling largely independent of the UV cancer question entirely. This paper works through the evidence band by band, then through three specific human studies — a melanoma-mortality cohort, a 29,000-person Swedish sun-exposure cohort, and an ecological review of UVB and 24 cancer types — each of which is weaker, and tells a narrower story, than its popular retelling.

This is the companion paper to Cold Exposure & Metabolic Health: both cover a non-dietary environmental input the body evolved under and that modern indoor, sun-avoidant life has mostly removed.

The argument in brief

Six parts

  1. Part ISunlight is eight overlapping exposures, not one — infrared, red/orange, green, blue, and three UV bands each act on a different tissue (skin, eyes, mitochondria) through a different signaling molecule, with different, sometimes opposite, downstream effects.
  2. Part IIUVB drives two opposing pathways in the same tissue: direct DNA mutation in keratinocytes (skin cancer) and cutaneous vitamin D synthesis plus immune modulation, ecologically associated with lower rates of at least 15 other cancer types.
  3. Part IIIA 29,518-person Swedish cohort found sun-seekers had lower cardiovascular and non-cancer mortality than avoiders despite more skin cancer — but the design cannot separate sunlight from the broader active, outdoor lifestyle that tends to come with it.
  4. Part IVA 528-person melanoma cohort found sun awareness and visible skin sun-damage predicted lower melanoma death — read by its own authors as an early-detection effect, not evidence that sunlight protects against melanoma once it occurs.
  5. Part VUVA and visible light trigger a separate, DNA-independent mechanism: cutaneous nitric-oxide release that dilates blood vessels and lowers blood pressure, plus a POMC/α-MSH pathway tied to mood and appetite.
  6. Part VIVisible light's circadian and practical dimension: bright blue-rich light by day for alertness and night-time melatonin, dimmer and warmer light by evening, and what a working “light diet” looks like in practice.

UVB is the load-bearing, two-edged band. Every other part of this paper either sits upstream of it (Part I's map), tests its net effect in a real population (Parts II–IV), or covers a mechanism that doesn't depend on it at all (Parts V–VI).

Reader's guide

Part I is a reference map, not an argument — use it to see which band a later claim is actually about. Parts II–IV each cover one human study in depth, and each carries a real methodological limitation that changes what it can and cannot support; read the caveat attached to each as part of the finding, not an afterthought. Parts V–VI cover mechanisms that don't carry cancer risk the way UV does. Caveats are collected in Limitations rather than scattered through the text.

Strong Moderate Animal–in vitro Inferred Contested Speculative

PART I

The Wavelength Map

Popular writing about “sunlight” tends to treat it as one exposure with one dose-response curve. It isn't. Sunlight reaching skin and eyes spans roughly 280 to over 1000 nanometers, and different bands within that range are absorbed by different chromophores, in different tissues, triggering different signaling cascades. Infrared warms mitochondria. Blue light resets the circadian clock through the eyes. UVB, absorbed almost entirely in the outer few hundred microns of skin, does two nearly opposite things in the same cells depending on which molecule it hits first — DNA directly, or 7-dehydrocholesterol just beneath it. The table below is a reference map compiled from a published heliotherapy reference chartB cross-checked against the mechanism literature cited through the rest of this paper; treat band boundaries as approximate, since UV and visible light are a continuum, not eight hard-edged categories.

Infrared750+ nm
Body → mitochondriaphotobiomodulation — ↑healing, ↑damage repair, ↓Parkinson's markers, ↑cellular energy
Body → nitric oxide — ↓inflammation, ↓pain, ↓respiratory disease markers
Infrared / Red700 nm
Skin → keratinocytes — ↑damage repair, ↑sun protection (photoadaptation)
Red / Orange600–700 nm
Eyes → melatonin — does not suppress night-time sleepiness the way blue light does
Green550 nm
Eyes → endogenous opioids — ↓pain, ↓migraine, ↓stress, ↑mood, ↓neuroinflammation, ↓anxiety, ↑calm
Blue450 nm
Eyes (day) → melatonin/cortisol — ↑mood, ↑alertness, ↑performance, ↑learning, ↓obesity risk
Eyes (night) → melatonin/cortisol — ↓sleep, ↓circadian alignment; over time, tracks with higher ↑inflammation, diabetes, heart disease, dementia, cancer, Parkinson's risk
Skin → nitric oxide — ↓blood pressure, ↓diabetes, ↓cardiovascular disease risk
Ultraviolet A315–400 nm
Skin → free radicals — ↑skin cancer (melanoma) risk with cumulative, unprotected exposure
UVA / UVB280–400 nm
Skin → nitric oxide — ↓blood pressure, ↓diabetes, ↓heart disease, ↓stroke, ↓blood clot risk, ↑wound healing
Skin → POMC / α-MSH — ↑melanin, ↑alertness, ↑energy, ↑metabolism, ↑mood, ↑performance, ↓anxiety
UVB280–315 nm
Skin → vitamin D — ↓osteoporosis, ↓rickets, ↓inflammation, and ecologically ↓cancer — see Part II
Skin → DNA mutation — ↑skin cancer (basal & squamous cell carcinoma) — the direct-damage counterweight to the row above
Skin → immune system — ↓inflammation, and observational associations with lower rates of Alzheimer's, autoimmune disease (MS, type 1 diabetes, Crohn's), psoriasis, vitiligo, eczema, allergies
Skin → urocanic acid / microbiome — ↓infection susceptibility, local immune modulation
Eyes → dopamine — ↑cognition, ↓dementia, ↓depression, ↓myopia risk in children

Moderatethe physiological pathways (nitric oxide release, vitamin D synthesis, melanopsin/circadian signaling, POMC) are individually well characterized; Inferredfor many of the specific downstream disease outcomes listed, which come from correlational or ecological data discussed in Parts II–III, not a trial testing that exact band against that exact outcome.

The tension this chart doesn't resolve why Part II exists

Reading straight down the UVB row, the chart lists both a cancer-causing pathway (DNA mutation) and a cancer-protective one (vitamin D, immune modulation) under the same 280–315nm band. That is not a contradiction in the chart — it's an accurate summary of a real, unresolved tension in the literature, and the next three Parts are an attempt to work through it using three specific studies rather than the summary chart alone.

PART II

UVB, Vitamin D, and 24 Cancers

II.1The ecological pattern

William Grant's 2012 review in Anticancer Research compiled ecological studies — comparisons of cancer incidence and mortality rates across geographic regions with different levels of ambient solar UVB — drawing on three US studies, one each from Australia, China, France, Japan, and Spain, and eight multicountry studies spanning more than 100 countries.1 The review found consistent inverse correlations between solar UVB and 15 cancer types: bladder, breast, cervical, colon, endometrial, esophageal, gastric, lung, ovarian, pancreatic, rectal, renal, and vulvar cancer, plus Hodgkin's and non-Hodgkin's lymphoma. Nine more — brain, gallbladder, laryngeal, oral/pharyngeal, prostate, and thyroid cancer, leukemia, multiple myeloma, and, notably, melanoma itself — showed weaker evidence.

Moderatethe correlational pattern across studies is real and consistently reported; Inferredthat UVB/vitamin D is the causal driver, rather than something else that also tracks with latitude — see the pushback below.

II.2The proposed mechanism

The mechanistic case behind the correlation is genuine cell biology, not just a geographic pattern. UVB converts 7-dehydrocholesterol in skin to previtamin D3, which becomes calcitriol (1,25-dihydroxyvitamin D), the active hormone. Calcitriol binds the vitamin D receptor, expressed in most tissue types including immune cells, and regulates genes involved in cell differentiation, apoptosis, and inflammation — the same processes disrupted in cancer's uncontrolled proliferation.C Local, tissue-level vitamin D metabolism, independent of circulating blood levels, is also implicated: several of the tissues in the protected-15 list (colon, breast) express the enzyme that activates vitamin D locally, giving them a potential paracrine protective signal that a blood test alone wouldn't capture.

Strongfor calcitriol's role in cell differentiation and apoptosis generally; Inferredthat this specific pathway explains the geographic cancer pattern in II.1.

Pushback: ecological correlation is the weakest design in this paper

An ecological study correlates a population-level exposure (regional UVB) with a population-level outcome (regional cancer rate) — it does not measure either variable in the same individual. Everything else that varies by latitude and country varies right along with UVB: diet, obesity prevalence, smoking rates, alcohol consumption, cancer-screening infrastructure, and general healthcare access all differ systematically between, say, Scandinavia and equatorial countries, and any of them could independently move 15 different cancer rates in the same direction as sunlight without sunlight causing any of it. Several of the ecological studies underlying this review are Grant's own earlier work, and he directs the Sunlight, Nutrition and Health Research Center (SUNARC), a research group organized specifically around this hypothesis — not disqualifying, but worth weighing alongside independent replication. The vitamin D mechanism in II.2 is real cell biology; whether it's the dominant explanation for the geographic pattern in II.1, versus one contributor among several confounded variables, is not something an ecological design can settle.

II.3What would settle it

Randomized vitamin D supplementation trials are the design that can isolate the vitamin D variable from everything else that moves with latitude, since supplementation can be randomized independent of where someone lives. That literature exists and is genuinely mixed: several large trials have found reduced cancer mortality without a matching reduction in cancer incidence — suggesting, if real, a role in slowing progression in people who already have cancer rather than preventing it from starting, a narrower and different claim than II.1's incidence-correlation implies.D

Contestedsupplementation trials are the right design to isolate this question, and the incidence-versus-mortality split across them is a real, unresolved pattern in this literature — not yet a settled answer.

II.4A hypothesis for melanoma's own exception

Melanoma was the one cancer in II.1's list with only weak inverse correlation to solar UVB — an odd result if UVB/vitamin D is simply protective across the board. A 2009 hypothesis paper offers a specific explanation. Cutaneous melanoma has risen at a steady exponential rate in fair-skinned indoor workers since before 1940, despite indoor workers getting three to nine times less total solar UV than outdoor workers — a direct paradox if total sun exposure were the driver.J The paper's two-part hypothesis: indoor UVA — the band that passes through ordinary window glass, unlike UVB, which glass blocks almost entirely — both causes mutations directly and degrades any vitamin D3 already synthesized in skin; separately, melanoma cells themselves can convert vitamin D3 to calcitriol, which drives growth inhibition and apoptosis in melanoma cells in culture and in animal models, so inadequate cutaneous vitamin D removes a brake on cells that have already begun to transform. The authors measured indoor solar UVA at roughly 25% of outdoor irradiance (about 60× a typical fluorescent fixture) and confirmed previtamin D3 synthesis essentially requires being outdoors, since window glass blocks the UVB it depends on. Framed this way, the hypothesis is a promotion mechanism layered on top of the established initiation mechanism from Part I — the authors explicitly still attribute melanoma's initiation to intense, intermittent outdoor UV overexposure and sunburn, not to indoor UVA instead of it.

Speculativea named hypothesis built from the authors' own irradiance measurements plus cited melanoma cell-biology data, not a study measuring melanoma incidence against individually measured UVA exposure or vitamin D status.

Pushback: the journal itself carries a caveat here

Medical Hypotheses, where this paper appeared, was explicitly a hypothesis-generating journal at the time of publication (April 2009): submissions were screened editorially for interest and plausibility rather than sent out for standard external peer review — a policy Elsevier discontinued starting in 2010, following a separate, unrelated controversy over the journal's publication of AIDS-denialist material the same year. That history doesn't mean this specific paper is wrong; the underlying irradiance measurements and the calcitriol/melanoma-cell mechanism it cites are independently verifiable. But it means this piece carries less institutional vetting than the ecological review in II.1 or the cohort studies in Parts III–IV, and it should be read as a plausible, testable explanation for melanoma's exception — not as settled evidence of one.

PART III

All-Cause Mortality: the Swedish Cohort

III.1Design and headline finding

The Melanoma in Southern Sweden (MISS) cohort enrolled 29,518 Swedish women between 1990 and 1992 and followed them for 20 years through national mortality registers, grouped by self-reported sun-exposure habits.2 Active sun-seekers had lower cardiovascular and other non-cancer mortality than avoiders, despite higher skin-cancer incidence — the all-cause mortality gap was driven mainly by cardiovascular and other non-cancer deaths, not by fewer skin-cancer deaths among sun-seekers. Modeled out, sun avoidance was associated with an estimated 0.6 to 2.1 fewer years of life expectancy compared to high sun exposure — the basis of the widely repeated comparison to smoking as a mortality risk factor of similar modeled magnitude.

Moderatelarge, long-follow-up cohort with registry-linked mortality — the strongest human data in this paper by sample size and duration; Contestedas an argument that sunlight itself, rather than the lifestyle correlated with it, drives the effect.

III.2What the smoking comparison actually claims

The comparison to smoking is a modeled life-expectancy gap, not a claim that sun exposure offsets or cancels smoking's harm — a distinction the popular retelling of this study frequently drops. Two variables producing similarly sized effects on the same outcome measure does not mean either variable determines the other.

Pushback: this is an observational cohort, not a trial

Sun-exposure habits were self-reported, not randomized, and sun-seeking behavior is entangled with a cluster of other health-relevant habits: more time outdoors generally means more walking, more incidental exercise, more social contact, and plausibly better baseline health that both causes someone to spend more time outside and independently protects cardiovascular health. The study could not separate UV dose from this broader lifestyle pattern, and no exercise data was collected at all. The mortality gap is real and well measured; whether sunlight itself is the active ingredient, versus a marker for an generally more active and socially engaged life, is exactly what an observational design like this one cannot resolve.

Doesn't change existing guidance

WHO and Swedish national sun-protection guidance — cover up and seek shade above UV Index 3 — is unchanged by this study. The finding is a population-level mortality pattern over two decades, not a demonstrated individual protocol for how much unprotected sun exposure is beneficial versus harmful for a given skin type.

PART IV

Melanoma Survival: a Detection Effect, Not Protection

IV.1The finding

Berwick and colleagues followed 528 population-based cutaneous melanoma cases for an average of more than five years, combining interview data (sun exposure history, skin self-awareness, screening behavior) with histopathology review of each lesion (solar elastosis, Breslow thickness, mitotic rate).3 In multivariable competing-risk models, two factors were independently associated with lower melanoma death after adjusting for tumor thickness, mitotic index, and head/neck location: solar elastosis, a histologic marker of chronic sun damage (HR 0.4, 95% CI 0.2–0.8, p=.009), and self-reported skin awareness (HR 0.5, 95% CI 0.3–0.9, p=.022). Tumor thickness, mitoses, ulceration, and head/neck location all independently predicted higher death risk, as expected.

Strongfor the statistical associations themselves — a well-powered cohort with histopathology-confirmed covariates and appropriate competing-risk modeling.

IV.2Why this is not evidence that sunlight protects against melanoma

The authors' own reading of their result is a detection-effect story, and it fits the data better than a protective-sunlight story does. Solar elastosis is a marker that someone has accumulated substantial visible sun damage over their lifetime — exactly the kind of skin that makes a new or changing mole more noticeable to the person carrying it or to a clinician examining it. Skin awareness is a direct behavioral measure of the same thing: people who pay closer attention to their skin catch melanomas earlier, when they are thinner and more survivable, which is precisely what the thickness and mitosis covariates in the same model are already controlling for. The paper was explicitly designed to test this: whether the previously observed positive correlation between UV exposure/solar elastosis and melanoma survival reflects sunlight's biology or simply earlier detection — and the pattern (awareness and elastosis predicting survival independent of tumor severity at diagnosis) is consistent with detection, not consistent with sunlight altering the tumor's underlying biology once it has formed.

Strongas evidence for a detection/early-catch effect; Speculativeas evidence that sun exposure changes melanoma's course biologically once it exists — the study wasn't designed to distinguish that from detection timing, and its authors don't claim it does.

Reading this against Part I's chart

Part I's UVA row lists melanoma risk rising with cumulative UV exposure — that remains the operative causal claim. This study does not contradict it. It answers a narrower, different question: among people who already have melanoma, why do some survive longer — and the answer here is earlier detection, not a protective effect of the sun exposure that likely contributed to causing the melanoma in the first place.

IV.3A separate, dietary lever on melanoma tumor growth

Unrelated to the detection-effect story above, a dietary intervention has shown a direct antitumor effect on melanoma specifically. Mice fed a 5% glycine diet for just three days before subcutaneous B16 melanoma implantation grew tumors 50–75% smaller than control-fed mice, weighing nearly 65% less at 14 days — not through slowing cancer-cell proliferation directly (glycine had no effect on B16 cell growth rates in culture) but through a 70% reduction in tumor blood-vessel density, alongside dose-dependent inhibition of endothelial cell growth in vitro.I See the Glycine nutrient page for the parallel liver-tumor finding and glycine's broader mechanism profile.

Animal–in vitroa mouse implantation model, not a human melanoma trial — an antiangiogenic diet-and-tumor-growth finding, mechanistically unconnected to the sun-exposure/detection question in IV.1–IV.2.

PART V

Nitric Oxide and Blood Pressure

V.1A DNA-independent mechanism

Human skin stores a substantial pool of nitric oxide in inactive forms — nitrite and nitrosated compounds — independent of the enzymatic nitric oxide synthase pathway used elsewhere in the body. UVA wavelengths, which penetrate deeper into skin than UVB and are absorbed by different chromophores, photochemically release this stored nitric oxide into circulation. Circulating nitric oxide is a potent vasodilator, and human trials of UVA skin exposure have shown measurable blood pressure reduction accompanying the release, independent of vitamin D or any DNA-mediated pathway.E

Moderatethe cutaneous nitric-oxide store and its UVA-triggered release is documented in human skin; Inferredfor how much this specific mechanism contributes to the Part III cohort's cardiovascular mortality gap versus the lifestyle confounders flagged there.

V.2POMC, α-MSH, and mood

Separately, UV exposure in skin upregulates proopiomelanocortin (POMC), a precursor protein cleaved into several active peptides including α-melanocyte-stimulating hormone (α-MSH, which drives melanin production and tanning) and beta-endorphin. This is the leading proposed mechanism behind the mood-lifting and mildly reinforcing quality some people report from sun exposure, and behind why moderate, repeated UV exposure produces habituation rather than aversion in some studies — a real, biologically plausible route distinct from vitamin D or nitric oxide, though it carries its own caveat.F

Animal–in vitrothe POMC/beta-endorphin pathway is best characterized in mouse skin; direct human behavioral confirmation is thinner.

A caveat worth naming plainly

A beta-endorphin-mediated reward pathway is also the leading proposed mechanism behind “tanning dependence” described in a small addiction-medicine literature — the same signal that makes moderate sun exposure feel good is mechanistically capable of reinforcing excessive exposure in a minority of people. This doesn't undercut the mechanism; it's a reason dosing matters here as much as it does anywhere else in this paper.

PART VI

Practice: A Personal Light Diet

Every mechanism in this paper runs on dose and timing, not just presence or absence of light. A published heliotherapy guide organizes the practical benefits of getting this right into six areas: lower blood pressure and better cardiovascular health, improved mood and reduced stress, healthier immune function and reduced chronic inflammation, increased metabolism and mitochondrial function, better sleep, and enhanced energy, alertness, and cognition.B Its own framing is worth keeping: these aren't six independent wins so much as one nest of interlocking systems, where bright, well-timed days and genuinely dark nights raise circadian amplitude and that amplitude improvement is what cascades into the other five.

VI.1Daytime brightness is the input most people are short on

Indoor lighting rarely exceeds a few hundred lux; overcast outdoor daylight is typically 1,000–10,000 lux, and direct sun exceeds 50,000. The blue-rich portion of that daylight signal drives melanopsin-containing retinal ganglion cells that set the circadian clock in the hypothalamus — the same pathway summarized in Part I's blue-light row.G A weak daytime light signal is one of the more overlooked contributors to poor sleep specifically because the body generates its night-time melatonin signal in proportion to how strong a contrast it registered during the day — someone who is dim-lit all day and then also screen-lit all evening has removed the contrast entirely, not just moved it later.

VI.2Evening light: timing, not elimination

The same blue wavelengths that entrain the clock by day suppress melatonin and delay sleep onset at night, because melanopsin cells don't distinguish a screen from the sun — only intensity and spectrum.H The practical implication is spectral matching, not blue-light avoidance outright: bright, cool-toned light through the day; dimmer, warmer-toned light in the few hours before sleep, mirroring the natural shift toward red and amber wavelengths as the sun approaches the horizon that Part I's infrared/red row describes.

Practical takeaway

Outdoor light exposure within the first hour or two of waking is the single highest-leverage change available given how much stronger daylight is than any indoor source — nothing indoors easily substitutes for it. Getting outside more broadly through daylight hours, dimming and warming indoor light in the evening, and protecting a genuinely dark night are the same three levers described across Parts II–V, applied on a daily clock rather than a lifetime-cancer-risk one.

None of this licenses unprotected midday UV exposure without regard to skin type or duration — see the flag in Part III. The dosing question for UV specifically (how much, for whom, before benefit gives way to risk) remains the least resolved part of this paper; see Limitations.

LIMITS

What would weaken this argument

  • No study cited here doses UV exposure against a specific, individualized outcome. The Part I chart, the Part II ecological review, and the Part III cohort all describe population-level patterns or mechanism, not a trial establishing how much unprotected sun exposure, for a given skin type and latitude, maximizes net benefit. That dose-response curve almost certainly exists and almost certainly varies by skin pigmentation, but this paper does not have it to cite.
  • Part II's central finding is ecological, the weakest observational design used in this paper. As flagged there, everything that varies by latitude — diet, obesity, smoking, screening access, healthcare infrastructure — varies alongside solar UVB, and an ecological design cannot separate them. Randomized vitamin D supplementation trials are the better-suited design and, per II.3, currently show a mixed and unresolved mortality-versus-incidence pattern.
  • Part III's cohort is observational and self-reported, not randomized. Sun-seeking behavior correlates with a broader active, socially engaged lifestyle that independently affects cardiovascular mortality. No exercise data was collected. The study cannot cleanly attribute its mortality gap to UV exposure specifically rather than the lifestyle it travels with.
  • Part IV should not be read as evidence sunlight protects against melanoma. Its own authors' interpretation — that skin awareness and solar elastosis predict survival through earlier detection, not altered tumor biology — is the more parsimonious reading and the one this paper adopts. Popular retellings that flip this into “sun exposure improves melanoma survival” are not supported by the study's own design or interpretation.
  • The Part I wavelength chart is a secondary source, not itself a primary study. It is useful as an organizing map and is broadly consistent with the mechanism literature cited alongside it, but several of its listed disease-outcome associations (autoimmune disease, myopia, dementia) are not individually pinned to a citation in this draft and should be read as directionally plausible pending that citation pass, the same status this paper's house style gives any unpinned reference elsewhere.
  • The POMC/beta-endorphin mood mechanism (V.2) is thin in direct human behavioral data. It is well characterized in mouse skin; the human reward/habituation literature it's used to explain is smaller and partly drawn from addiction-medicine case literature on tanning dependence rather than controlled trials in typical sun-exposure users.
  • Skin type, baseline vitamin D status, and geographic latitude are not controlled for as a single variable anywhere in this paper. Each study handles this differently or not at all, and the practical upshot — how the guidance in Part VI should change for darker skin, higher latitude, or existing vitamin D sufficiency — is not something this draft resolves.

What would strengthen this paper most is a randomized trial dosing UV exposure by skin type against both cancer incidence and cardiovascular mortality in the same cohort — the current evidence base assembles these from an ecological review, one observational cohort, and one melanoma-survival study with different designs, populations, and outcome measures.

REFS

References

UVB, vitamin D & cancer
  1. Grant WB. Ecological studies of the UVB-vitamin D-cancer hypothesis. Anticancer Res 2012;32(1):223–236. PMID 22213311. Review of 3 US, 5 single-country, and 8 multicountry (100+ nations) ecological studies. Strong inverse correlation with solar UVB for 15 cancer types; weaker evidence for 9 others including melanoma. Several underlying studies are the author's own prior work; author directs SUNARC, a research center organized around this hypothesis.
  2. Vitamin D receptor signaling, calcitriol, and regulation of cell differentiation and apoptosis. citation to pin
  3. Randomized vitamin D supplementation trials and the cancer-mortality-versus-incidence split. citation to pin
  4. Godar DE, Landry RJ, Lucas AD. Increased UVA exposures and decreased cutaneous Vitamin D3 levels may be responsible for the increasing incidence of melanoma. Med Hypotheses 2009;72(4):434–443. PMID 19155143. doi:10.1016/j.mehy.2008.09.056. Hypothesis paper, not an original epidemiological study. Measured indoor vs. outdoor solar UVA irradiance (indoor ≈25% of outdoor, ≈60× fluorescent light) and action-spectrum-weighted contributions to erythema, SCC, melanoma, and previtamin D3 synthesis. Proposes indoor window-transmitted UVA plus inadequate cutaneous vitamin D3 promotes CMM in already-initiated cells, layered on top of the established sunburn-initiation mechanism. Published in an editorially-screened, non-externally-peer-reviewed issue of Medical Hypotheses prior to the journal's 2010 shift to standard peer review.
All-cause & cardiovascular mortality
  1. Lindqvist PG, et al. Avoidance of sun exposure as a risk factor for major causes of death: a competing risk analysis of the Melanoma in Southern Sweden cohort. J Intern Med 2016. volume & page to pin n=29,518 Swedish women, enrolled 1990–1992, 20-year follow-up via national mortality registers. Sun avoiders showed an estimated 0.6–2.1 fewer years of life expectancy versus high-exposure women, driven mainly by cardiovascular and other non-cancer mortality.
Melanoma survival
  1. Berwick M, Armstrong BK, Ben-Porat L, Fine J, Kricker A, Eberle C, Barnhill R. Sun exposure and mortality from melanoma. J Natl Cancer Inst 2005;97(3):195–199. PMID 15687762. doi:10.1093/jnci/dji019. n=528 population-based cutaneous melanoma cases, >5-year average follow-up. Multivariable competing-risk model: solar elastosis HR 0.4 (95% CI 0.2–0.8, p=.009) and skin awareness HR 0.5 (95% CI 0.3–0.9, p=.022) independently associated with lower melanoma death, adjusted for Breslow thickness, mitotic index, and head/neck location. Authors interpret as a detection effect.
  2. Rose ML, Madren J, Bunzendahl H, Thurman RG. Dietary glycine inhibits the growth of B16 melanoma tumors in mice. Carcinogenesis 1999;20(5):793–798. PMID 10334195. doi:10.1093/carcin/20.5.793. C57BL/6 mice fed 5% glycine + 15% casein vs. 20% casein control diet for 3 days before subcutaneous B16 melanoma implantation, tracked 14 days. Tumors 50–75% smaller and ~65% lighter in glycine-fed mice (P<0.05); 70% fewer tumor arteries (P<0.05); glycine (0.01–10mM) dose-dependently inhibited endothelial cell growth in vitro (IC50=0.05mM) but did not affect B16 cell growth directly — antiangiogenic mechanism, not direct cytotoxicity. See also the parallel liver-tumor finding on the Glycine page.
Nitric oxide, mood & circadian mechanisms
  1. Cutaneous nitric-oxide stores, UVA-triggered photorelease, and blood-pressure reduction in human trials. citation to pin
  2. UV-induced POMC upregulation in skin, α-MSH and beta-endorphin cleavage products, and reward/habituation signaling. citation to pin
  3. Melanopsin-containing retinal ganglion cells and circadian entrainment by blue-enriched daylight. citation to pin
  4. Evening blue-light exposure, melatonin suppression, and delayed sleep onset. citation to pin
Wavelength reference chart
  1. title, author & publisher to pin Photographed reference chart and “Right with Light: Putting Heliotherapy into Practice” chapter excerpt, source book not yet identified in this draft — Patrick to supply title/author/edition for a proper citation.
UVBUVAVitamin DCalcitriolSolar ElastosisMelanomaNitric OxideBlood PressurePOMCα-MSHBeta-EndorphinMelanopsinCircadian RhythmMelatoninEcological StudyMISS CohortHeliotherapyUrocanic AcidSkin MicrobiomeGlycineAngiogenesisWindow Glass UVA