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Adult Refsum disease (ARD, OMIM #266510) is an autosomal recessive condition, resulting in phytanic acid (PA) accumulation in plasma and tissue. The management of ARD relies on a low PA diet, but the importance of adequate energy and carbohydrate provision in reducing circulating PA levels and preventing metabolic crisis is less well described. Two patients recently diagnosed with ARD initiated on the low PA diet leading to a 65% reduction in circulating PA levels, one case achieving this reduction in 5 months. Four patients already established on the low PA diet for > 10 years experienced a rapid rise in circulating PA levels due to weight loss and/or inadequate carbohydrate intakes, despite adherence to a low PA diet. Circulating PA levels more than doubled in all four of these cases. Implementing dietary interventions to ensure adequate energy, carbohydrates and weight stabilisation resulted in a decrease in circulating PA levels by 47%–84% in the outpatient setting. The reduction in circulating PA occurred within 1.6–5 months. These cases demonstrate that PA restriction, and weight and carbohydrate management have integral roles in ensuring metabolic stability in ARD. This case series highlights that circulating PA levels can be reduced more rapidly with dietary interventions than previously shown in case series of chronic management.

IntroductionPhenylketonuria (PKU) is a disorder of protein metabolism resulting in an accumulation of phenylalanine in the body. Dietary management consists of altering the sources of ingested protein to limit phenylalanine intake. Current dietary protein guidelines for PKU are based on limited scientific evidence, thus it remains unclear whether current practice leads to optimal protein status in people with PKU. To date, no attempt has been made to systematically evaluate the protein status of people with PKU, using a combination of validated anthropometric, biochemical and functional measurement tools. Furthermore, factors known to influence protein status in the general population warrant consideration when determining protein status in individuals with PKU, alongside factors unique to PKU such as the type of protein substitute consumed. Understanding the impact of these variables on protein status is crucial to developing a personalised approach to protein recommendations for optimising health and functional outcomes in people with PKU. Therefore, the aim of this scoping review is to examine existing evidence regarding the protein status of people with PKU, and to investigate the nutritional and lifestyle variables that influence protein status.Methods and analysisThis review will be guided by Arksey and O’Malley’s framework, along with guidance from Levac et al, Pawliuk et al and the Joanna Briggs Institute. The following databases will be searched: MEDLINE (Ovid), Embase, CENTRAL, Web of Science and Scopus, alongside grey literature. Identified literature will be assessed by two independent reviewers for inclusion. Descriptive numerical analysis will be performed and a narrative summary will accompany the tabulated results describing how study findings relate to the review questions.Ethics and disseminationThis review protocol does not require ethical approval. Findings will be disseminated through peer-reviewed publication, presented at relevant conferences, and shared with a patient research advisory group to inform discussions on future research.

Background/Objectives: In phenylketonuria (PKU), high blood phenylalanine (Phe) levels during pregnancy negatively influence foetal organogenesis and growth, leading to maternal PKU syndrome. Pregnancies must be carefully planned in order to maintain blood Phe levels ≤ 360 µmol/L pre-conception and throughout pregnancy. Our aim was to study metabolic control in PKU pregnancies across Europe. Methods: Eleven centres managing PKU participated. Data on blood Phe levels (µmol/L), natural protein intake (g/day), protein substitute intake (g/day) and maternal weight (kg) during pregnancy were collected retrospectively from dietetic records between 2012 and 2018. Results: In total, 84 female patients with PKU, accounting for 102 pregnancies (mean age: 30.4 ± 4.8 years), participated. Of these, 7 had hyperphenylalaninemia (HPA), 26 had mild PKU, 55 had classical PKU and 14 were unclassified. Sapropterin was prescribed in two pregnancies. Only 27% (28/102) of pregnancies successfully achieved consistent blood Phe levels ≤ 360 µmol/L for at least 2 weeks pre-conception. During pregnancy, 88% of blood Phe levels were ≤360 µmol/L, with a mean Phe of 229 ± 65 µmol/L. The mean number of blood Phe samples was 60 (1.5 per week) per pregnancy. In pre-pregnancy, over a mean of 2.9 years, only 35% of blood Phe levels were ≤360 µmol/L and 61% were <600 µmol/L. Post-pregnancy, over a mean of 2.8 years, 43% of Phe levels were <600 µmol/L with mean Phe 462 ± 226 µmol/L and 724 ± 230 µmol/L, respectively. 25% (25/102) had no levels performed post-pregnancy (mean of 2.8 ± 1.6 years) compared to 7% (7/102) pre-pregnancy (mean of 2.9 ± 1.5 years). Mean prescribed Phe intake pre-/during/post-pregnancy was 810 ± 721 vs. 787 ± 552 vs. 1110 ± 722 mg/day. Natural protein intake was 17 ± 15 vs. 17 ± 11 vs. 23 ± 15 g/day. Protein equivalent from protein substitute intake was 57 ± 21 vs. 66 ± 16 vs. 50 ± 23 g/day and total protein remained stable, 73 ± 14 vs. 83 ± 14 vs. 71 ± 19 g/day (1.1 ± 0.3 vs. 1.1 ± 0.4 vs. 1.0 ± 0.4 g/kg/day). Conclusions: Although a high level of metabolic control was maintained during pregnancy, fewer than 30% of pregnancies achieved constant Phe levels ≤ 360 µmol/L prior to conception, with minimal monitoring post-pregnancy. The long-term impact on the offspring remains unknown and requires further investigation.

Background: Metabolic control in phenylketonuria (PKU) is known to deteriorate with age, but national-level data describing blood phenylalanine (Phe) control across the United Kingdom (UK) are limited. Objective: To characterise blood Phe control in individuals with PKU attending UK metabolic centres. Methods: Sixteen UK centres (nine paediatric, six adult, one mixed) retrospectively extracted blood Phe results collected between 2012 and 2018. Demographic, phenotypic and monitoring-related variables were analysed. Written consent for data collection was obtained from all patients or their caregivers. Results: Data were available for 871 individuals (55% female), of whom 744 (85%) were classified as follows: classical PKU, 75%, mild PKU, 22% and hyperphenylalaninaemia, 3%. Mean blood Phe concentrations were significantly higher in adults than children (491 ± 308 vs. 303 ± 199 µmol/L; p < 0.001), and the proportion of samples within target range declined steadily with age, from 78% in children < 2 years to 36% in adults ≥ 41 years. Individuals with classical PKU had higher mean Phe concentrations and lower target attainment than those with HPA (386 vs. 300 µmol/L; 61% vs. 78%; p < 0.001), while mild PKU and HPA showed comparable control. Females generally demonstrated better metabolic control than males. More frequent dried blood spot sampling for blood Phe was strongly associated with improved metabolic control: weekly (254 ± 175 µmol/L; 82% within target), fortnightly (319 ± 207 µmol/L; 70%), monthly (397 ± 231 µmol/L; 61%), and less than monthly (624 ± 349 µmol/L; 44%). Nearly half of the blood Phe samples (47%) with recorded timing were taken in a non-fasting state. Conclusions: Achieving lifelong metabolic stability on a Phe-restricted diet alone remains challenging. These national data highlight the need for broader therapeutic options to support individuals with PKU across the lifespan.

The nutritional and metabolic characteristics of adult phenylketonuria (PKU) patients in the UK with varying dietary adherence is unknown. In other countries, nutritional and metabolic abnormalities have been reported in nonadherent patients compared to adherent counterparts. A pooled analysis of primary baseline data from two UK multi-centre studies was therefore performed to establish whether this is true from a UK perspective. Adult PKU patients who had provided 3-day food records and amino acid blood samples were included and grouped according to dietary adherence (adherent; n = 16 vs. nonadherent; n = 14). Nonadherent patients consumed greater amounts of natural protein compared to adherent patients (61.6 ± 30.7 vs. 18.3 ± 7.7 g/day; q < 0.001). In contrast, the contribution of protein substitutes to total protein intake was lower in nonadherent compared to adherent patients (3.9 ± 9.2 g/day vs. 58.6 ± 10.2 g/day; q < 0.001). Intakes of iron, zinc, vitamin D3, magnesium, calcium, selenium, iodine, vitamin C, vitamin A and copper were significantly lower in nonadherent compared to adherent patients and were below UK Reference Nutrient Intakes. Similarly, intakes of thiamin, riboflavin, niacin, vitamin B6 and phosphorus were significantly lower in nonadherent compared to adherent patients but met the UK Reference Nutrient Intakes. Phenylalanine concentrations in nonadherent patients were significantly higher than adherent patients (861 ± 348 vs. 464 ± 196 µmol/L; q = 0.040) and fell outside of European treatment target ranges. This study shows the nutritional and metabolic consequences of deviation from phenylalanine restriction and intake of PKU protein substitutes in nonadherent adult PKU patients. Collectively, these data further underlie the importance of life-long adherence to the PKU diet.

Patients with phenylketonuria (PKU) are reliant on special low protein foods (SLPFs) as part of their dietary treatment. In England, several issues regarding the accessibility of SLPFs through the national prescribing system have been highlighted. Therefore, prescribing patterns and expenditure on all SLPFs available on prescription in England (n = 142) were examined. Their costs in comparison to regular protein-containing (n = 182) and ‘free-from’ products (n = 135) were also analysed. Similar foods were grouped into subgroups (n = 40). The number of units and costs of SLPFs prescribed in total and per subgroup from January to December 2020 were calculated using National Health Service (NHS) Business Service Authority (NHSBSA) ePACT2 (electronic Prescribing Analysis and Cost Tool) for England. Monthly patient SLPF units prescribed were calculated using patient numbers with PKU and non-PKU inherited metabolic disorders (IMD) consuming SLPFs. This was compared to the National Society for PKU (NSPKU) prescribing guidance. Ninety-eight percent of SLPF subgroups (n = 39/40) were more expensive than regular and ‘free-from’ food subgroups. However, costs to prescribe SLPFs are significantly less than theoretical calculations. From January to December 2020, 208,932 units of SLPFs were prescribed (excluding milk replacers), costing the NHS £2,151,973 (including milk replacers). This equates to £962 per patient annually, and prescribed amounts are well below the upper limits suggested by the NSPKU, indicating under prescribing of SLPFs. It is recommended that a simpler and improved system should be implemented. Ideally, specialist metabolic dietitians should have responsibility for prescribing SLPFs. This would ensure that patients with PKU have the necessary access to their essential dietary treatment, which, in turn, should help promote dietary adherence and improve metabolic control.

In the UK, different dietary systems are used to calculate protein or tyrosine/phenylalanine intake in the dietary management of hereditary tyrosinaemia, HTI, II and III (HT), with no systematic evidence comparing the merits and inadequacies of each. This study aimed to examine the current UK dietary practices in all HTs and, using Delphi methodology, to reach consensus agreement about the best dietary management system. Over 12 months, five meetings were held with UK paediatric and adult dietitians working in inherited metabolic disorders (IMDs) managing HTs. Eleven statements on the dietary system for calculating protein or tyrosine/phenylalanine intake were discussed. Dietitians from 12 of 14 IMD centres caring for HT patients participated, and 7/11 statements were agreed with one Delphi round. Nine centres (three abstentions) supported a 1 g protein exchange system for all foods except fruit and vegetables. The same definitions used in the UK for phenylketonuria (PKU) were adopted to define when to calculate foods as part of a protein exchange system or permit them without measurement. Fruit and vegetables contain a lower amount of tyrosine/phenylalanine per 1 g of protein than animal and cereal foods. The correlation of tyrosine vs. phenylalanine (mg/100 g) for vegetables and fruits was high (r = 0.9). In Delphi round 2, agreement was reached to use the tyrosine/phenylalanine analyses of fruits/vegetables, for their allocation within the HT diet. This allowed larger portion sizes of measured fruits and vegetables and increased the variety of fruit and vegetables that could be eaten without measurement. In HTs, a combined dietary management system will be used: 1 g protein exchanges for cereal and milk protein sources and tyrosine/phenylalanine exchanges for fruit and vegetables. Intensive, systematic communication with IMD dietitians and reappraisal of the evidence has redefined and harmonised HT dietary practice across the UK.

Noncompliance is widespread in adults with PKU and is associated with adverse metabolic, nutritional and cognitive abnormalities. Returning to the PKU diet is important for this at-risk population, yet for many this is challenging to achieve. Strategies that ease the return to the PKU diet, while offering nutritional and cognitive advantages, are needed. Twelve PKU adults (33.7 ± 2.6 years), who had been noncompliant for 4.5 years (range: 1 to 11 years), took 33 g of a low-volume, nutrient-enriched, protein substitute daily for 28 days. Outcomes of eating behaviour, nutrient intake and mood were assessed at entry (baseline, days 1–3) and after the intervention period (days 29–31). At baseline, intakes of natural protein and estimated phenylalanine were high (66.4 g and 3318.5 mg, respectively) and intakes of calcium, magnesium, iron, zinc, iodine and vitamin D were below country-specific recommendations. With use of the experimental protein substitute, natural protein and estimated phenylalanine intake declined (p = 0.043 for both). Fat and saturated fat intakes also decreased (p = 0.019 and p = 0.041, respectively), while energy and carbohydrate intake remained unchanged. Micronutrient intake increased (p ≤ 0.05 for all aforementioned) to levels well within reference nutrient intake recommendations. Blood vitamin B12 and vitamin D increased by 19.8% and 10.4%, respectively. Reductions in anxiety and confusion were also observed during the course of the study yet should be handled as preliminary data. This study demonstrates that reintroducing a low-volume, nutrient-enriched protein substitute delivers favourable nutritional and possible mood benefits in noncompliant PKU patients, yet longer-term studies are needed to further confirm this. This preliminary knowledge should be used in the design of new strategies to better facilitate patients’ return to the PKU diet, with the approach described here as a foundation.

Introduction: There is little practical guidance about suitable food choices for higher natural protein tolerances in patients with phenylketonuria (PKU). This is particularly important to consider with the introduction of adjunct pharmaceutical treatments that may improve protein tolerance. Aim: To develop a set of guidelines for the introduction of higher protein foods into the diets of patients with PKU who tolerate >10 g/day of protein. Methods: In January 2022, a 26-item food group questionnaire, listing a range of foods containing protein from 5 to >20 g/100 g, was sent to all British Inherited Metabolic Disease Group (BIMDG) dietitians (n = 80; 26 Inherited Metabolic Disease [IMD] centres). They were asked to consider within their IMD dietetic team when they would recommend introducing each of the 26 protein-containing food groups into a patient’s diet who tolerated >10 g to 60 g/day of protein. The patient protein tolerance for each food group that received the majority vote from IMD dietetic teams was chosen as its tolerance threshold for introduction. A virtual meeting was held using Delphi methodology in March 2022 to discuss and agree final consensus. Results: Responses were received from dietitians from 22/26 IMD centres (85%) (11 paediatric, 11 adult). For patients tolerating protein ≥15 g/day, the following foods were agreed for inclusion: gluten-free pastas, gluten-free flours, regular bread, cheese spreads, soft cheese, and lentils in brine; for protein tolerance ≥20 g/day: nuts, hard cheeses, regular flours, meat/fish, and plant-based alternative products (containing 5–10 g/100 g protein), regular pasta, seeds, eggs, dried legumes, and yeast extract spreads were added; for protein tolerance ≥30 g/day: meat/fish and plant-based alternative products (containing >10–20 g/100 g protein) were added; and for protein tolerance ≥40 g/day: meat/fish and plant-based alternatives (containing >20 g/100 g protein) were added. Conclusion: This UK consensus by IMD dietitians from 22 UK centres describes for the first time the suitability and allocation of higher protein foods according to individual patient protein tolerance. It provides valuable guidance for health professionals to enable them to standardize practice and give rational advice to patients.

In phenylketonuria (PKU), variable dietary advice provided by health professionals and social media leads to uncertainty for patients/caregivers reliant on accurate, evidence based dietary information. Over four years, 112 consensus statements concerning the allocation of foods in a low phenylalanine diet for PKU were developed by the British Inherited Metabolic Disease Dietitians Group (BIMDG-DG) from 34 PKU treatment centres, utilising 10 rounds of Delphi consultation to gain a majority (≥75%) decision. A mean of 29 UK dietitians (range: 18–40) and 18 treatment centres (range: 13–23) contributed in each round. Statements encompassed all foods/food groups divided into four categories based on defined protein/phenylalanine content: (1) foods high in protein/phenylalanine (best avoided); (2) foods allowed without restriction including fruit/vegetables containing phenylalanine ≤75 mg/100 g and most foods containing protein ≤0.5 g/100 g; (3) foods that should be calculated/weighed as an exchange food if they contain protein exchange ingredients (categorized into foods with a protein content of: >0.1 g/100 g (milk/plant milks only), >0.5 g/100 g (bread/pasta/cereal/flours), >1 g/100 g (cook-in/table-top sauces/dressings), >1.5 g/100 g (soya sauces)); and (4) fruit/vegetables containing phenylalanine >75 mg/100 g allocated as part of the protein/phenylalanine exchange system. These statements have been endorsed and translated into practical dietary management advice by the medical advisory dietitians for the National Society for PKU (NSPKU).