| Literature DB >> 33868174 |
David J Easty1, Christine J Farr2, Bryan T Hennessy3,4.
Abstract
Vitamin D is a potent steroid hormone that induces widespread changes in gene expression and controls key biological pathways. Here we review pathophysiology of vitamin D with particular reference to COVID-19 and pancreatic cancer. Utility as a therapeutic agent is limited by hypercalcemic effects and attempts to circumvent this problem have used vitamin D superagonists, with increased efficacy and reduced calcemic effect. A further caveat is that vitamin D mediates multiple diverse effects. Some of these (anti-fibrosis) are likely beneficial in patients with COVID-19 and pancreatic cancer, whereas others (reduced immunity), may be beneficial through attenuation of the cytokine storm in patients with advanced COVID-19, but detrimental in pancreatic cancer. Vitamin D superagonists represent an untapped resource for development of effective therapeutic agents. However, to be successful this approach will require agonists with high cell-tissue specificity.Entities:
Keywords: COVID-19; pancreatic cancer; pancreatic stellate cell; paricalcitol; superagonist; vitamin D
Year: 2021 PMID: 33868174 PMCID: PMC8045760 DOI: 10.3389/fendo.2021.644298
Source DB: PubMed Journal: Front Endocrinol (Lausanne) ISSN: 1664-2392 Impact factor: 5.555
Observational studies, linking vitamin D status with outcome (severity of disease and mortality) in patients with COVID-19.
| Study | N | Design | Effect | Reference |
|---|---|---|---|---|
| Patients diagnosed with COVID-19 were investigated for serum calcidiol and CT Thorax | 73 | Retrospective, observational | Higher VDa associated with reduced lung involvement and better outcome. VDDb associated with increased risk of mortality. | ( |
| Patients ≥65 years, COVID-19 positive. Groups: VDD (≤30 nmol/L) versus VD replete. Assessed for in-hospital mortality, requirement for NIV. Biochemistry and CT Thorax. | 105 | Retrospective, observational | COVID-19-positive arm had lower serum calcidiol compared with COVID-19-negative arm. Patient with VDD had increased incidence of NIVc and high dependency unit admission. | ( |
| Serum calcidiol versus positive SARS-CoV-2 result. | 107 | Retrospective, observational | Serum VD is significantly lower in SARS-CoV-2 positive patients | ( |
| Serum calcidiol measured in patients on day of admission and 8 weeks post PCR diagnosis of COVID-19. Results compared to symptoms, CT Thorax, biochemistry. | 109 | Prospective, observational | VDD was common, and not an indicator of pathology seen in CT-scans, or severity of symptoms. | ( |
| Serum calcidiol in patients hospitalized with COVID‐19 versus disease severity | 134 | Retrospective, observational | VDD is associated with greater disease severity | ( |
| Patients diagnosed with COVID-19, investigated for serum calcidiol at first presentation versus severe disease (IMVd or death). | 185 | Retrospective, observational | VDD (≤30 nmol/L) was associated with higher risk of severe disease. | ( |
| Serum calcidiol concentration versus clinical outcome and mortality due to SARS-CoV-2 infection. Where VD < 75 nmol/L is insufficient | 235 | Cross-sectional analysis | Significant association between VD insufficiency and increased mortality. | ( |
| Serum calcidiol in COVID-19 positive and negative group | 347 | Retrospective, observational | No significant difference between groups. | ( |
| Serum calcidiol or calcitriol measured in the year prior to COVID-19 testing versus risk of positive test. | 489 | Retrospective, observational | VDD status was associated with increased COVID-19 risk. | ( |
| A previous serum calcidiol level was compared to risk of SARS-CoV-2 infection and severity of disease. Where VD < 75 nmol/L is suboptimal. | 7807 | Retrospective, observational | Low Serum VD was associated with increased likelihood of COVID-19 infection and hospitalization. | ( |
| Serum calcidiol concentration versus SARS-CoV-2 positivity. | 190,000 | Retrospective, observational | Serum VD concentration is inversely associated with SARS-CoV-2 positivity. | ( |
| Baseline serum calcidiol versus COVID-19 mortality. | 341,484 | Retrospective, observational. UK Biobank study. | No association between VD concentration and risk of severe infection and mortality. | ( |
| VDD patients diagnosed with COVID-19 received: standard dose cholecalciferol or high dose ergocalciferol | 4 | Case series | high dose VD supplementation shortened length of stay, lowered oxygen requirement, and reduced inflammatory marker. | ( |
| Serum calcidiol tested in controls versus patients diagnosed with COVID-19 | 145 | Case control study | VDD increases risk for COVID-19, most clearly seen in severe infections. | ( |
| Frail elderly patients, with COVID-19 infection. Received VD in 3 groups: (1) preceding and (2) post diagnosis or (3) no supplementation. | 77 | Quasi-experimental | Survival was increased in Group 1 with regular supplementation over the preceding year | ( |
aVD, vitamin D; bVDD, VD deficiency; cNIV, Non-invasive ventilation; dIMV, invasive mechanical ventilation.
Figure 1Signaling pathways in late phase ARDS in patients with COVID-19; role of vitamin D Disease progression is influenced by stromal/inflammatory infiltrate. Epithelial cells are colored blue, lung stellate cells (yellow), lymphocytes (green), and myeloid cells: macrophages M1, M2 and neutrophils (grey). SARS-CoV-2 infected alveolar type II epithelial (ATE2) cells release IL8, recruiting inflammatory cells, with neutrophil secretion of IL-6 contributing to the cytokine storm. Lung fibrosis occurs via two pathways. Macrophages and lung stellate cells secrete angiotensin II, promoting myofibroblast formation and increasing ECM formation with hyaline membrane disease. ATE2 cells secrete TGF-β, which drives the myofibroblast phenotype. Predicted effects of vitamin D are labeled in red A–J as described in , where labels indicate: B: Increased ACE/Ang II/AT1R signaling; C: Down-regulation of TGF-β-SMAD-dependent transcription; D: Inhibition of pro-inflammatory chemokine release; E: Increased antimicrobial peptides, defensins and cathelicidin; F: Maintains epithelial cell tight-junction integrity; G: Increased Treg activity; J: Decreased Neutrophil activity and increased NET formation. VDA effects D and E are likely more relevant in early stage COVID-19 respiratory tract infections.
Predicted effects of VDAs in PDAC and COVID-19.
| Vitamin D/VDA effect | PDAC | COVID-19 (ARDS) | Reference | |
|---|---|---|---|---|
| A | Pro-Differentiation/ | Beneficiala | Uncertain | ( |
| B | Increases ACE2/Ang 1-7/MasR axis, inhibits ACE/Ang II signaling. | Uncertain | Beneficial | ( |
| C | Inhibition of Fibrosis. Down-regulates TGFβ-SMAD-dependent transcription of pro-fibrotic genes. | Beneficial | Beneficial | ( |
| D | Inhibition of cytokine and pro-inflammatory chemokine release. | Beneficial | Beneficial | ( |
| E | Increases macrophage production of antimicrobial peptides, defensins and cathelicidin | Detrimentalb | Beneficial | ( |
| F | Maintains integrity of epithelial cell tight-junctions | Uncertain | Beneficial | ( |
| G | Suppresses immunity: increases Treg activity, activation of Th2 and suppression of Th1 cells | Detrimental | Beneficial | ( |
| H | Promotes Autophagy | Uncertainc | Uncertain | ( |
| I | Pro-inflammatory, anti-tumor M1 phenotype is converted into immune-suppressive, pro-tumor M2 macrophages | Uncertaind | Uncertain | ( |
| J | Decreased Neutrophil activity | Beneficiale | Beneficiale | ( |
aVDAs promote cancer cell and PSC differentiation. bCathelicidin active cleavage product (LL-37) is associated with PDAC stem cell growth and survival. cAutophagy occurs in CAFs and resultant amino acids (including alanine) are made available to neighboring PDAC cells. Autophagy is likely a pro-survival mechanism in PDAC cells; dM2 polarization may contribute to fibroproliferative phase of ARDS. eDecreased neutrophil activation is expected to be beneficial; however, the role of vitamin D in NET formation remains controversial.
Representative interventional clinical trials investigating Vitamin D in patients with COVID-19.
| Study identifier: | Study design | aDosage/Regimen/Route | N | Participants | Status |
|---|---|---|---|---|---|
| NCT04483635 | Phase 3 | bVD oral loading dose of 100,000 IU + 10000 IU VD weekly. Endpoint incidence of COVID-19 infection. | 2414 | cHCW caring for patients with COVID-19 | Not yet recruiting |
| NCT04535791 | Phase 3 | VD, 4,000 IU orally daily for 30 days. Endpoint: COVID-19 infection status. | 400 | HCW caring for patients with COVID-19 | Recruiting |
| NCT04536298 | Phase 3 | Daily VD for 4 weeks. Endpoints: hospitalization and/or death, risk of infection in household member. | 2700 | Newly diagnosed with COVID-19. | Not yet recruiting |
| NCT04386850 | Phase 2/Phase 3 | Calcidiol, 25 mcg once daily for 2 months. Endpoints: | 1500 | ARM 1 Prevention in HCWs. and | Recruiting |
| NCT04334005 | Not Applicable | VD, 25000 UI, orally, daily. For 10 weeks. Endpoints: requirement for dIAV, eNIV and fICU admission. | 200 | Non-severe symptomatic, patients infected with COVID-19. | Not yet recruiting |
| NCT04363840 | Phase 2 | VD, 50,000 IU, orally once weekly for 14 days + Aspirin 81mg, each day. Endpoint: Hospitalization. | 1080 | gVDD patients with new (24h) COVID-19 infection. | Not yet recruiting |
| NCT04385940 | Phase 3 | VD, 50,000 IU, orally, | 64 | VDD in inpatients/outpatients with COVID-19 infection. | Not yet recruiting |
| NCT04525820 | Not Applicable | Single high dose VD (140,000 IU) plus 800 IU of VD per day versus 800 IU of VD per day. Endpoint: Length of hospitalization | 80 | Hospitalized Patient | Not yet recruiting |
aDosage/Regimen in intervention group; bVD, vitamin D; cHealth care workers (HCW); dInvasive assisted ventilation (IAV); eNon-invasive assisted ventilation (NAV); fIntensive care unit (ICU). gVDD, VD deficiency.
Preclinical studies of VDA (Vitamin D Analogues) in animal models of various cancer types.
| Tumor | Delivery/Dose | VD agonist | Effect | Reference |
|---|---|---|---|---|
| Prostate Ca, Dunning rat model. | s.c., 1mcg, 3x/week x3 weeks. | Calcitriol | Inhibition of tumor growth | ( |
| Metastatic lung disease | s.c., continuous osmotic minipump rate 1 µg/kg/24 h x18 days 2.5 µl/h. | Calcitriol | Prevents met lung disease | ( |
| Ovarian cancer, xenograft | gavage v placebo, 0.3 or 1.0 μg/kg body weight in a volume of 20μL, OD | Calcitriol | Suppression of growth | ( |
| Breast cancer, nitrosomethylurea-induced rat mammary tumor model. | 0.25 and 1.25 mcg/kg | Calcitriol | Inhibition of tumor growth, Hypercalcemia | ( |
| Bladder cancer, xenograft | s.c., μg/mouse/d, x3 days GEM (6 mg/mouse/d, cisplatin (0.12 mg/mouse/d). | Calcitriol | Enhances activity of GEM and cisplatin | ( |
| Pancreatic cancer xenograft | i.p., 2.5 and 5 mcg kg3×/week x28days | Calcitriol | Inhibition of tumor growth | ( |
| Squamous cell Ca Xenograft | i.p., 80/160/320μg/mouse/day | Inecalcitol | Inhibition of tumor growth, increased apoptosis, decreased proliferation | ( |
| Prostate Ca, xenograft | i.p.,1300μg/kg3×/week x42days | Inecalcitol | 50% decrease tumor weight | ( |
| Prostate Ca, xenograft | i.p.,0.5μg/kg every other day x45days | Seocalcitol | Reversal of growth stimulatory effects of PTHrP | ( |
| Pancreatic cancer xenograft | s.c., 2.5μg/kg3×/week | Paricalcitol | Inhibition of tumor growth | ( |
| Pancreatic cancer xenograft | i.p., 0.3μg/kg2×/week, x3weeks | MART-10 | Inhibition of tumor growth | ( |
| Breast cancer, nitrosomethylurea-induced rat mammary tumor model. | i.p. |
| Inhibition of tumor growth, No Hypercalcemia | ( |
| UV-induced non-melanoma skin cancer | Topical application |
| Decrease in number and area of tumors combined with diclofenac | ( |
| Pancreatic cancer, orthotopic model | i.p., 60 mg/kg QDX20, +/- GEM. |
| Induced stromal remodeling, increased intratumoral GEM, reduced tumor volume, increased survival. | ( |
Completed Clinical trials of VDAs in various cancer types.
| Tumor, Sample size | Delivery/Dose | Drug | Outcome | Reference |
|---|---|---|---|---|
| Prostate cancer | Rocaltrol (0.5mcg/kg) on day 1 + docetaxel (36 mg/m(2)) on day 2, repeated weekly for 6 weeks. | Calcitriol | 30/37 (81%) achieved PSA response. 22 had 75% reduction in PSA. | ( |
| Prostate cancer | DN-101, PO formulation, Weekly docetaxel 36 mg/m2 iv for 3 weeks of a 4-week cycle combined with either 45mcg DN-101 v placebo PO 1 day before docetaxel. | Calcitriol | Overall, PSA response rates were 63% (DN-101) and 52% (placebo), P = 0.07. | ( |
| Prostate cancer | PO Dexamethasone, 1mg OD + 0.5mcg calcitriol at the start of week 5. Carboplatin (Area Under the Curve (AUC) = 2) started Week 7 | Calcitriol | PSA response in 13 of 34 patients and had an acceptable side-effect profile | ( |
| Prostate cancer | calcitriol 0.5 µg/kg PO, 4 divided doses over 4 h on day 1 + docetaxel 36 mg/m(2) i.v. on day 2 of each treatment week and zoledronic acid 4 mg i.v. on day 2 on the 1st and 5th week. | Calcitriol | PSA response in 47.8% | ( |
| Metastatic NSCLC | Escalating doses: 30, 45, 60, and 80 mcg/m(2), calcitriol iv q21, prior to docetaxel 75 mg/m(2) and cisplatin 75 mg/m(2) | Calcitriol | Pre-specified endpoint 50% RR was not met | ( |
| Pancreatic Cancer, non resectable | Calcitriol 0.5 u/kg on day 1, docetaxel 36 mg/m(2) IV on day 2, administered weekly for three consecutive weeks, and 1 week without treatment. | Calcitriol | Modest increase in TTP, 3/25 PR, 7/25 stable disease. Median TTP 15 weeks, and median OS 24 weeks. | ( |
| Hepatocellular carcinoma | PO, 10μg/day, up to 1 year | Seocalcitol | 2 complete response (CR), 12 stable disease (SD), 19 progressive disease (PD). | ( |
| Pancreatic cancer n = 36 | PO, 10–15μg/day x 8 week | Seocalcitol | No OR | ( |
| Prostate cancer | PO, MTD 4mg/d + Docetaxel, max 18/52 | Inecalcitol | 85% response rate. As per PSA decline of 30% | ( |
| Cutaneous metastatic breast cancer | Topical100μg/d, 6weeks |
| 3 patients, 50% reduction in diameter of treated lesions | ( |
| Metastatic Breast cancer | PO, 4–7 µg/day for 8 weeks + taxane | Paricalcitol | Most women tolerated 2–3mcg/d, (up to 7 µg per day without hypercalcemia | ( |
Completed and ongoing clinical trials involving Paricalcitol in patients with PDAC.
| Study identifier: | Study design | Dosage/Regimen/Route | N | Patients | Status |
|---|---|---|---|---|---|
| NCT02030860 | Phase I. | Paricalcitol (25mcg, IV), 3x weekly, with Nab-Pac and GEM D1, 8, 15, q 28 days. | 15 | Neoadjuvant and post-operatively. | Completed |
| NCT03520790 | Phase I. Run-in safety study and Phase II | Paricalcitol (25mcg, IV), 3x per week, or PO OD, with Nab-Pac and GEM D1, 8, 15, q 28 days. | 112 | Metastatic | Recruiting |
| NCT03883919 | Phase I. | Paricalcitol, 75 mcg IV on D1 and D8 combined with liposomal Irinotecan and 5-FU/LV. | 20 | Advanced PDAC, Progressed on GEM. | Recruiting |
| NCT03519308 | Phase I. | Paricalcitol, and Nivolumab with Nab-Pac and GEM D1, 8, 15, q 28 days. | 20 | Resectable PDAC | Recruiting |
| NCT04054362 | Phase II. | Nab-Pac and GEM plus or minus cisplatin, followed by Paricalcitol, 25mcg PO (days 1, 3, 5, 8, 10, 12, 15 in a 28 day cycle) | 14 | Metastatic | Recruiting |
| NCT03331562 | Phase II. | Pembrolizumab with paricalcitol (25mcg IV 3 xs per week) versus placebo. | 24 | Advanced PDAC | Recruiting |
| NCT03415854 | Phase II. | Nab-Pac, GEM and Cisplatin. Plus paricalcitol Upon Disease Progression. | 14 | Metastatic | Recruiting |
| NCT03138720 | Phase II | Paricalcitol with Nab Pac, GEM and cisplatin, | 24 | Neoadjuvant | Recruiting |
| NCT03300921 | Phase Ib | Arm A: 50mcg IV weekly; Arm B: 12mcg PO once daily | 20 | Neoadjuvant | Recruiting |
| NCT02930902 | Phase Ib | Arm A: Paricalcitol IV over D1, 8, and 15 and pembrolizumab IV d1, or Arm B: above, plus GEM and Nab-paclitaxel IV D1, 8, and 15. | 23 | Neoadjuvant | Recruiting |
Figure 2Reciprocal signaling pathways between PDAC and myofibroblasts (myCAFs) and role of vitamin D, modified from (169, 176, 177). Cells are colored as in . Epithelial (PDAC) cells are blue and stromal cells, (PSCs) are yellow. Two broad pathways are shown: a PDAC-derived secretome, including TGF-β and Sonic hedgehog (SHH), upper and mechano-signaling via ECM/β-1 integrin and FAK (lower part of figure). TGF-β drives a myofibroblast phenotype. SHH signals via GLI to promote dysplasia. Ligands derived from myCAFs (including IGF1, AXL, TYRO3 and TGFα) support tumor growth and inhibit apoptosis. Predicted effects of vitamin D are labeled A-J as described in , where labels indicate: A Pro-Differentiation and Anti-Proliferation; C Inhibition of fibrosis and down-regulation of TGF-β-SMAD-dependent transcription of pro-fibrotic genes and H Promotion of autophagy in PDAC cells and CAFs with provision of alanine to PDAC cells (178, 179).
Figure 3Reciprocal signaling pathways within PDAC and iCAFs, modified from (170, 180) and role of vitamin D. Tumor cell interactions with immune cells (tumor associated macrophages (TAM), neutrophils and T cells are also indicated. Cells are colored as in and . Stromal/inflammatory signaling pathways influence PDAC progression. Growth of PDAC cells is driven by cytokines and growth factors: LIF, IL-6 and SAA1 (derived from iCAFs), IL-4 (from TH2) and TGFα from TAMs. PDAC cells secrete IL-1α or TGF to drive an iCAF or myo-CAF phenotype. VDAs have direct effects upon cancer, stromal and immune cells and indirect effects upon intercellular signaling pathways. Predicted effects of vitamin D are labeled A-J as described in , where labels indicate: D Inhibition of cytokine and pro-inflammatory chemokine release; E Increased macrophage production of cathelicidin and cleavage product (LL-37), associated with a cancer stem cell phenotype; G Suppression of immunity: increased Treg activity, activation of Th2 and suppression of Th1 cells; I Anti-tumor M1 phenotype conversion into immune-suppressive, pro-tumor M2 macrophages, and J Decreased neutrophil activity and increased formation of NETs. The role of vitamin D in NET formation remains controversial and is discussed above. All figures, tables, and images will be published under a Creative Commons CC-BY license, and permission must be obtained for use of copyrighted material from other sources (including re-published/adapted/modified/partial figures and images from the internet). It is the responsibility of the authors to acquire the licenses, follow any citation instructions requested by third-party rights holders, and cover any supplementary charges.