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Observational Study
. 2017 Aug 1;153(8):789-796.
doi: 10.1001/jamadermatol.2017.1557.

Clinical, Biochemical, and Genetic Characterization of North American Patients With Erythropoietic Protoporphyria and X-linked Protoporphyria

Affiliations
Observational Study

Clinical, Biochemical, and Genetic Characterization of North American Patients With Erythropoietic Protoporphyria and X-linked Protoporphyria

Manisha Balwani et al. JAMA Dermatol. .

Abstract

Importance: Autosomal recessive erythropoietic protoporphyria (EPP) and X-linked protoporphyria (XLP) are rare photodermatoses presenting with variable degrees of painful phototoxicity that markedly affects quality of life. The clinical variability, determinants of severity, and genotype/phenotype correlations of these diseases are not well characterized.

Objective: To describe the baseline clinical characteristics, genotypes, and determinants of disease severity in a large patient cohort with EPP or XLP.

Design, setting, and participants: A prospective observational study was conducted among patients with confirmed diagnoses of EPP or XLP from November 1, 2010, to December 6, 2015, at 6 academic medical centers of the Porphyrias Consortium of the National Institutes of Health Rare Diseases Clinical Research Network. Detailed medical histories, including history of phototoxicity and treatment, were collected on standardized case report forms. Patients underwent baseline laboratory testing, total erythrocyte protoporphyrin (ePPIX) testing, and molecular genetic testing. Data were entered into a centralized database.

Main outcomes and measures: Results of biochemical and genetic tests were explored for association with clinical phenotype in patients with EPP or XLP.

Results: Of the 226 patients in the study (113 female and 113 male patients; mean [SD] age, 36.7 [17.0] years), 186 (82.3%) had EPP with a FECH (OMIM 612386) mutation and the common low-expression FECH allele IVS3-48T>C, and only 1 patient had 2 FECH mutations. Twenty-two patients had XLP (9.7%; 10 male and 12 female patients), and 9 patients (4.0%) had elevated ePPIX levels and symptoms consistent with protoporphyria but no detectable mutation in the FECH or ALAS2 (OMIM 301300) gene. Samples of DNA could not be obtained from 8 patients. Patients' mean (SD) age at symptom onset was 4.4 (4.4) years. Anemia (107 [47.3%]), history of liver dysfunction (62 [27.4%]), and gallstones (53 [23.5%]) were commonly reported. Higher ePPIX levels were associated with earlier age of symptom onset (median ePPIX levels for those who developed symptoms before vs after 1 year of age, 1744 vs 1567 µg/dL; P = .02), less sun tolerance (median ePPIX levels for those reporting symptoms before vs after 10 minutes of sun exposure, 2233 vs 1524 µg/dL; P ≤ .001), and increased risk of liver dysfunction (median ePPIX levels for those with liver dysfunction vs normal liver function, 2016 vs 1510 µg/dL; P = .003). Patients with EPP and FECH missense mutations had significantly lower ePPIX levels than those with other mutations (1462 vs 1702 µg/dL; P = .01). Male patients with XLP had significantly higher ePPIX levels, on average, than did patients with EPP (3574 vs 1669 µg/dL; P < .001). Marked clinical variability was seen in female patients with XLP owing to random X-chromosomal inactivation.

Conclusions and relevance: These data suggest that higher ePPIX levels are a major determinant of disease severity and risk of liver dysfunction in patients with EPP or XLP. These findings provide a framework for clinical monitoring and management of these disorders.

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Conflict of interest statement

Conflict of Interest Disclosures: Dr Balwani reported serving as a consultant for Genzyme, Shire, Alexion, Alnylam, Mitsubishi Tanabe Pharma, and Recordati and receiving grant (clinical trial) support from Alnylam. Dr Anderson reported serving as a consultant for Recordati, Alnylam, and Mitsubishi Tanabe Pharma; receiving grant support from the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), the US Food and Drug Association, Alnylam, and Clinuvel; and receiving royalties from UptoDate. Dr Bissell reported receiving honoraria from Recordati and Mitsubishi Tanabe Pharma and receiving grant support from the NIDDK. Dr Bloomer reported serving as a consultant for Recordati and Mitsubishi Tanabe Pharma, the American Porphyria Foundation, and Alnylam and receiving grant support from the NIDDK. Dr Bonkovsky reported serving as a consultant for Alnylam, Recordati Rare Diseases, Blue, Mitsubishi Tanabe North America, Moderna, Stoke, and Clinuvel and receiving grant support from Gilead Sciences. Dr Phillips reported serving as a consultant for Alnylam, Recordati, Mitsubishi Tanabe Pharma, and Agios; receiving grant support from the National Institutes of Health; and filing patents for screening for antimicrobials, a method for chain blocking in oligo synthesis. Dr Singal reported serving as a consultant for Intercept, Gilead, and the Chronic Liver Disease Foundation; receiving grants from the American College of Gastroenterology, the National Institute on Alcohol Abuse and Alcoholism, the NIDDK, Intercept, and Synageva; and receiving royalties from UptoDate. Dr Desnick reported serving as a consultant for Alnylam, Amicus Therapeutics, Sanofi/Genzyme, Alexion Pharma, Kiniksa Pharma, Recordati Rare Diseases, Mitsubishi Tanabe Pharma, and Sangamo Therapeutics; owning stock in Amicus Therapeutics, Sangamo Therapeutics, and Kiniksa Pharma; receiving grants from Sangamo Therapeutics, Recordati Rare Diseases, and Genzyme; and receiving royalties from Genzyme and Shire.

Figures

Figure.
Figure.. Erythrocyte Protoporphyrin Levels in Patients by Mutation Type and Presence or Absence of Liver Dysfunction
Liver dysfunction is based on patient-reported history of abnormal liver enzymes or abnormal serum aminotransferase levels at enrollment. XLP indicates X-linked protoporphyria. The middle line indicates the median; the triangle indicates the mean; the top box line indicates quartile 3; the bottom box line indicates quartile 1; whiskers represent the inner fence or range when outliers are not indicated; and circles indicate outliers.

References

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