Abstract
Background: Phenylketonuria (PKU) is the most common inborn error of amino acid metabolism, and if untreated, leads to severe neurocognitive impairment. Over the past 2 decades, treatment strategies have evolved from strict dietary phenylalanine restriction to include pharmacological therapies such as tetrahydrobiopterin and, more recently, enzyme substitution with pegvaliase. Despite these advances, significant heterogeneity exists in global research priorities, collaboration patterns, and the translation of emerging therapies into clinical practice. A systematic overview of the field’s development, thematic shifts, and remaining knowledge gaps is currently lacking.
Objective: This study aimed to provide a systematic bibliometric analysis of global treatment research on PKU from 2000 to 2025. The aim was to quantify publication trends, collaboration patterns, thematic evolution, and research gaps, thereby informing future scientific and clinical directions.
Methods: A search of the Web of Science Core Collection was performed on September 13, 2025. The search initially identified 1877 records. After screening, 1462 English-language articles and reviews were included. Publication trends were analyzed using Microsoft Excel (version 16.101), while VOSviewer 1.6.20 and CiteSpace 6.4R1 were used to visualize country- and institutional-level collaborations, journal networks, keyword co-occurrence, citation bursts, and thematic clusters. Statistical charts were generated with GraphPad Prism 10.2.1.
Results: Annual publication output demonstrated an overall upward trend, peaking in 2022 with 111 publications. The United States led in both publication volume (375 studies) and total citations (11,142 citations), maintaining strong collaborative ties with several European countries, particularly the Netherlands and the United Kingdom. China ranked seventh globally in publication volume, although its citation impact remains comparatively limited. Key institutions, including the University of Groningen and Birmingham Children’s Hospital, as well as prominent scholars such as Francjan J van Spronsen and Anita MacDonald, have occupied central positions in the global PKU treatment research collaboration network over the study period. High-frequency and high-centrality keywords, such as “phenylalanine,” “dietary treatment,” and “tetrahydrobiopterin,” highlighted continued emphasis on metabolic control and targeted therapies. Keyword burst analysis revealed a gradual shift from conventional dietary management toward enzyme replacement therapies, investigations of neurocognitive outcomes, and precision medicine–oriented approaches.
Conclusions: Over the past 25 years, PKU treatment research has progressed from foundational dietary interventions to molecular mechanistic studies and individualized therapeutic strategies. Future research should prioritize longitudinal multiomics investigations, targeted metabolic correction technologies, gene-based therapeutic approaches, and enhanced international collaboration, particularly to strengthen diagnosis and management capacities in low- and middle-income regions. Such efforts will be critical to advancing global standards of PKU care.
doi:10.2196/90419
Keywords
Introduction
Inherited metabolic disorders comprise a group of rare conditions caused by pathogenic gene mutations that result in enzymatic defects and subsequent biochemical disturbances. These disorders can profoundly affect growth and overall quality of life in pediatric patients. Among them, amino acid metabolism defects hold particular importance, with phenylketonuria (PKU) being one of the most prevalent and representative conditions. Since its initial description, PKU has remained a focal topic in medical genetics, pediatrics, and nutritional science, with a global incidence estimated at approximately 1 in 10,000 live births [].
PKU is an autosomal recessive disorder primarily caused by mutations in the phenylalanine hydroxylase (PAH) gene, which lead to markedly reduced or absent PAH enzyme activity in hepatocytes. This metabolic defect disrupts the normal conversion of phenylalanine to tyrosine, resulting in the pathological accumulation of phenylalanine in the blood, cerebrospinal fluid, and peripheral tissues. Alternative metabolites, such as phenylpyruvic acid, are excreted in urine, giving rise to the condition’s name. Elevated phenylalanine concentrations exhibit neurotoxic effects that severely impair brain development and function. Without timely treatment, affected individuals may develop progressive and irreversible intellectual disability, psychiatric and behavioral abnormalities, epilepsy, microcephaly, and other serious neurological impairments [].
The global implementation of newborn screening programs and improved genetic disease management has substantially altered the natural history of PKU. Early diagnosis combined with lifelong dietary therapy can effectively prevent severe neurodevelopmental impairment []. However, as increasing numbers of patients reach adulthood and advanced age, new challenges have emerged, including long-term dietary adherence, psychosocial burdens, maternal PKU management, and adult-onset complications. These issues continue to expand and diversify the scope of PKU research.
Since the beginning of the 21st century, rapid advances in genomics, proteomics, and pharmaceutical development have transformed PKU research into a multidisciplinary knowledge system covering basic biomedical science, clinical pediatrics, nutrition, psychology, and health policy management. Given the dramatic growth of the literature, researchers, clinicians, and policymakers face increasing difficulty in understanding the field’s development trajectory, key knowledge structures, and evolving research priorities through traditional narrative reviews alone. Consequently, there is a pressing need for objective, quantitative approaches capable of providing macroscopic insights into the development of PKU research.
Bibliometrics, which applies quantitative statistical methods to academic publications, offers a powerful means of capturing research dynamics, identifying hotspots, mapping collaboration networks, and evaluating scientific influence within a given field [,]. Using tools such as co-occurrence analysis, cluster analysis, and collaboration network mapping, bibliometric methods transcend the limitations of individual studies and provide data-driven evidence to support scientific decision-making and strategic planning [].
The 21st century represents a critical period for optimizing PKU management strategies and achieving breakthroughs in emerging therapies. However, to date, no comprehensive bibliometric analysis has systematically evaluated global PKU research over this period. To address this gap, this study conducts the first bibliometric assessment of PKU-related literature published between 2000 and 2025 in the Web of Science Core Collection (WoSCC). Through this analysis, the study aims to map the scientific knowledge landscape of the field and provide researchers with an objective, systematic reference framework.
Specifically, this study seeks to analyze annual publication trends, geographic distribution, and institutional contributions. Additionally, it aims to identify prolific authors, influential journals, and landmark publications; detect research hotspots and thematic evolution through keyword co-occurrence analysis; and demonstrate scientific collaboration networks to highlight global research linkages. By integrating these elements and discussing future research directions, this work aims to provide a comprehensive, data-driven overview of the development of PKU research. Therefore, this study aimed to systematically evaluate the global landscape of PKU treatment research from 2000 to 2025 using bibliometric methods.
Methods
Data Acquisition and Processing
A comprehensive literature search was performed on September 13, 2025, using the WoSCC, including both SCIE and SSCI editions. WoSCC was selected because it provides standardized bibliographic information and comprehensive citation data and is widely used in bibliometric studies. The search strategy used the following query in the “Topic” field:
(phenylketonuria OR “phenylalanine ketonuria” OR “Folling disease” OR (PKU NOT (“Peking University” OR “Beijing University”))) AND (therap* OR treat* OR manag* OR drug OR pharmacotherap* OR diet* OR sapropterin OR Pegvaliase OR Palynziq OR “case report” OR “clinical study” OR “clinical trial”) NOT (screening OR “newborn screen*” OR diagnos* OR detection OR assay OR biomarker).
The publication period was restricted from 2000 to 2025. Because the search was conducted on September 13, 2025, data for 2025 represent only a partial year. This strategy captured the major nomenclature and synonyms associated with PKU while excluding publications related to Peking University. The query focused on literature pertaining to disease management, dietary interventions, pharmacological treatments, and clinical studies, while excluding neonatal screening, diagnostic approaches, and biomarker research.
The initial search yielded 1877 records. Only English-language articles and reviews were retained for analysis. A total of 415 noneligible publications were excluded, including news items (n=4), data papers (n=1), retracted publications (n=3), corrections (n=12), book chapters (n=4), early access articles (n=4), letters (n=23), editorial materials (n=38), meeting abstracts (n=332), proceedings papers (n=48), book reviews (n=3), retractions (n=2), and reprints (n=1); the document-type categories listed are not mutually exclusive, because some records may be assigned to multiple document types. The final dataset consisted of 1462 publications, including 1272 articles and 190 reviews.
Bibliometric Analysis and Visualization
A bibliometric analysis was conducted using Microsoft Excel (version 16.101), VOSviewer (version 1.6.20; Centre for Science and Technology Studies, Leiden University), and CiteSpace (version 6.4.R1; Drexel University) to generate a comprehensive overview of the research landscape. Microsoft Excel was used to compile annual publication counts from 2000 to 2025, thereby characterizing temporal trends in research productivity. VOSviewer was used to construct visual maps of international collaboration networks, co-authorship relationships, institutional partnerships, and journal co-citation patterns []. CiteSpace facilitated journal dual-map overlays, keyword co-occurrence analyses, reference co-citation networks, and burst-detection examinations, with outputs visualized as interpretable network diagrams []. The integrated application of these tools provided both quantitative and graphical insights into the intellectual structure, development tendency, and emerging research frontiers within the PKU field. Statistical charts were generated with GraphPad Prism 10.2.1 (GraphPad Software, Inc).
Results
The complete data collection and filtering process is illustrated in .

Overview of Research Trends
The temporal distribution of publications provides a clear depiction of research progress in the field of PKU. As illustrated in , annual publication output remained relatively stable from 2000 to 2015, with a mean of 40.63 (SD 5.86) publications per year. A modest peak was observed in 2005 (49 publications), followed by a brief decline in 2006 (25 publications). The increase in publication activity coincided with growing interest in sapropterin-based therapies. Although publication numbers fluctuated somewhat in subsequent years, they consistently remained above pre-2015 levels, culminating in a peak of 111 articles in 2022. Despite a slight decline after 2022, annual output demonstrated only minor variation, reflecting sustained scholarly interest and ongoing innovation in this field.

In addition to publication trends, presents a comparative keyword analysis using 5-year intervals beginning in 2000, capturing the evolution of research priorities and emerging thematic trends within the field. Keywords were ranked according to both frequency and centrality, with the top 30 keywords for each interval summarized in . This longitudinal analysis reveals a clear shift in research emphasis: from an early focus on preventing intellectual disability toward improving long-term quality of life, and from managing metabolic abnormalities to developing potentially curative therapeutic strategies, and, more recently, toward emerging approaches such as gene therapy aimed at providing sustained metabolic correction [,].
| Rank | 2000‐2005 | 2006-2010 | 2011-2015 | 2016-2020 | 2021-2025 | |||||
| Keywords | Occurrences, n | Keywords | Occurrences, n | Keywords | Occurrences, n | Keywords | Occurrences, n | Keywords | Occurrences, n | |
| 1 | Phenylketonuria | 89 | Phenylketonuria | 78 | Phenylketonuria | 125 | Phenylketonuria | 150 | Phenylketonuria | 234 |
| 2 | Hyperphenylalaninemia | 22 | Phenylalanine | 24 | Phenylalanine | 47 | Phenylalanine | 34 | PKU | 58 |
| 3 | PKU | 22 | PKU | 11 | Tetrahydrobiopterin | 30 | PKU | 30 | Phenylalanine | 57 |
| 4 | Phenylalanine | 19 | Tetrahydrobiopterin | 10 | PKU | 24 | Diet | 15 | Pegvaliase | 30 |
| 5 | Phenylalanine; hydroxylase | 14 | Sapropterin | 8 | Sapropterin | 18 | Phenylalanine hydroxylase | 12 | Diet | 25 |
| 6 | Tetrahydrobiopterin | 14 | Phenylalanine hydroxylase | 7 | Hyperphenylalaninemia | 16 | Glycomacropeptide | 11 | Hyperphenylalaninemia | 17 |
| 7 | Maternal phenylketonuria | 12 | Hyperphenylalaninemia | 6 | Diet | 11 | Pegvaliase | 10 | Inborn errors of metabolism | 17 |
| 8 | Dietary treatment | 11 | Arachidonic acid | 4 | Oxidative stress | 10 | Amino acids | 9 | Glycomacropeptide | 16 |
| 9 | Children | 6 | Docosahexaenoic acid | 4 | Tyrosine | 9 | Phenylketonuria (PKU) | 9 | Metabolic control | 16 |
| 10 | Maternal PKU | 6 | Executive function | 4 | Phenylketonuria (PKU) | 6 | Hyperphenylalaninemia | 8 | Protein substitute | 14 |
| 11 | Tyrosine | 6 | Gene therapy | 4 | BH4 | 5 | Nutrition | 8 | Phenylketonuria (pku) | 13 |
| 12 | Dopamine | 5 | Long-chain polyunsaturated fatty acids | 4 | Docosahexaenoic acid | 5 | Phenylalanine ammonia lyase | 8 | Tetrahydrobiopterin | 13 |
| 13 | Pregnancy | 5 | Oxidative stress | 4 | Growth | 5 | Tetrahydrobiopterin | 8 | Amino acids | 12 |
| 14 | Alanine | 4 | Amino acid transport | 3 | Micronutrients | 5 | Adherence | 7 | Sapropterin | 11 |
| 15 | Blood-brain barrier | 4 | Children | 3 | Phenylalanine hydroxylase | 5 | Executive functions | 7 | Cognition | 10 |
| 16 | Enzyme replacement therapy | 4 | Diet | 3 | Children | 4 | Inborn error of metabolism | 7 | Quality of life | 10 |
| 17 | Microcephaly | 4 | Diffusion tensor imaging | 3 | Genotype | 4 | Large neutral amino acids | 7 | Adherence | 9 |
| 18 | Nutrition | 4 | Inborn errors of metabolism | 3 | Inborn error of metabolism | 4 | Quality of life | 7 | Pregnancy | 9 |
| 19 | PAH | 4 | Phenylalanine ammonia lyase | 3 | Inborn errors of metabolism | 4 | Amino acid | 6 | Tyrosine | 9 |
| 20 | Working memory | 4 | Phenylketonurias | 3 | Metabolic disorders | 4 | Dopamine | 6 | Inherited metabolic disorders | 8 |
| 21 | Adolescents | 3 | Tyrosine | 3 | Nutrition | 4 | Sapropterin dihydrochloride | 6 | Nutritional status | 8 |
| 22 | BH4 | 3 | Working memory | 3 | Obesity | 4 | Tyrosine | 6 | Oxidative stress | 8 |
| 23 | BH4 responsiveness | 3 | 6R-BH4 | 2 | Overweight | 4 | BH4 | 5 | BH4 | 7 |
| 24 | Biopterin | 3 | Activated carbon | 2 | Phenylalanine ammonia lyase | 4 | Bone mineral density | 5 | Body composition | 7 |
| 25 | Compliance | 3 | Adeno-associated virus | 2 | Quality of life | 4 | Children | 5 | Gene therapy | 7 |
| 26 | Diet | 3 | Adolescents | 2 | Sapropterin dihydrochloride | 4 | Docosahexaenoic acid | 5 | Phenylalanine hydroxylase deficiency | 7 |
| 27 | Executive function | 3 | Amino acid | 2 | Selenium | 4 | Protein substitute | 5 | Bone mineral density | 6 |
| 28 | Gene therapy | 3 | Blood-brain barrier | 2 | Amino acids | 3 | Sapropterin | 5 | Inborn error of metabolism | 6 |
| 29 | Genotype | 3 | Brain | 2 | Behavior | 3 | Serotonin | 5 | Nutrition | 6 |
| 30 | Inborn errors of metabolism | 3 | Cell transplantation | 2 | BH4-responsiveness | 3 | Brain | 4 | Phenylalanine ammonia lyase | 6 |
Country Analysis
A total of 64 countries contributed to the global publication output on PKU. As shown in , the top 10 productive countries were ranked based on their scientific output. The United States dominated the field with 375 publications and 11,142 citations, confirming its central role in both research productivity and scholarly influence. The United Kingdom ranked second in publication volume (185 publications) and citation impact (4269 citations), and also demonstrated the highest level of international collaboration, reflecting its strong integration within the global scientific community. The worldwide distribution of publications is depicted in .

| Rank | Country | Documents, n | Citations, n | Total link strength, n |
| 1 | United States | 375 | 11,142 | 188 |
| 2 | United Kingdom | 185 | 4269 | 274 |
| 3 | Germany | 144 | 4004 | 247 |
| 4 | Italy | 121 | 2806 | 182 |
| 5 | The Netherlands | 103 | 3281 | 199 |
| 6 | Spain | 85 | 2140 | 169 |
| 7 | Switzerland | 72 | 2560 | 105 |
| 8 | China | 67 | 2174 | 21 |
| 9 | Canada | 58 | 1931 | 64 |
| 10 | Australia | 35 | 1719 | 16 |
Given the higher prevalence of PKU among Caucasian populations, European countries exhibited strong representation in the literature. Germany, the Netherlands, Italy, and Switzerland ranked third through sixth, with publication counts of 144, 103, 121, and 72 publications, and 4004, 3281, 2806, and 2560 citations, respectively. Notably, Germany displayed the second-highest collaboration intensity, which exceeded even that of the United States.
Annual publication trends for these 10 leading countries are illustrated in . VOSviewer was used to construct a geographical visualization of national contributions and collaborative patterns, applying a minimum threshold of 5 publications per country. This criterion yielded 38 countries included in the network analysis. In the resulting visualization, node size corresponds to publication output, whereas link thickness corresponds to the strength of collaborative relationships. Additionally, depicts the temporal evolution of the top 10 countries’ publication shares as a percentage of total global output, displayed in 5-year intervals over the 25-year period. The United States consistently maintained the largest share of publications, although its relative proportion declined slightly over time. In contrast, the United Kingdom and Italy exhibited a moderate upward trend in their publication shares.


Author Analysis
A total of 5359 researchers contributed to PKU-related publications. presents the author collaboration network, visualizing the collaborative relationships among the most productive and influential researchers in this field. As shown in , Anita MacDonald from the United Kingdom lead the field with 92 publications and 1613 citations. Their substantial involvement in developing international diagnostic and treatment guidelines, widely regarded as the “gold standard” for PKU management, has resulted in a particularly high citation count []. Similarly, Francjan J van Spronsen from the Netherlands, a major contributor to international consensus guidelines, ranks second with 40 publications and 1058 citations, demonstrating extensive collaboration with MacDonald [,].

| Rank | Author (surname, forename) | Documents, n | Citations, n | Total link strength, n |
| 1 | MacDonald, Anita | 92 | 1613 | 182 |
| 2 | Van Spronsen, Francjan J | 40 | 1058 | 64 |
| 3 | Daly, Anne | 36 | 272 | 143 |
| 4 | Harding, Cary O | 32 | 1009 | 41 |
| 5 | Evans, Sharon | 31 | 254 | 132 |
| 6 | Ashmore, Catherine | 28 | 149 | 120 |
| 7 | Pinto, Alex | 28 | 191 | 123 |
| 8 | Christ, Shawn E | 20 | 486 | 24 |
| 9 | White, Desiree A | 20 | 514 | 30 |
| 10 | Burton, Barbara K | 19 | 543 | 33 |
Beyond these 2 international leaders, several additional researchers from the United Kingdom, including Anne Daly, Sharon Evans, and Catherine Ashmore, form the core of European research on PKU clinical management. In parallel, US investigators, including Cary O Harding, Shawn E Christ, Desiree A White, and Barbara K Burton, have played key roles in translating foundational scientific discoveries into innovative therapies that have contributed substantially to the development and clinical evaluation of treatments later approved by regulatory agencies, thereby establishing the US central position in PKU research.
Institutional Analysis
A total of 1708 institutions contributed to PKU-related publications. Using a minimum threshold of 13 publications per institution, VOSviewer generated a collaborative network composed of 41 institutional nodes. presents the resulting network map of cooperation among organizations, visualizing the collaborative relationships and clustering patterns of the most productive institutions in this field. lists the top 10 institutions ranked by publication volume. lists the top 10 institutions ranked by publication volume. The University of Groningen led with 68 publications and 2006 citations and exhibited the highest degree of collaborative connectivity. As PKU is an inherited metabolic disorder frequently managed in pediatric settings, children’s hospitals have played an important role in advancing the field. Birmingham Children’s Hospital ranked second with 52 publications and 1242 citations.

| Rank | Organization | Documents, n | Citations, n | Total link strength, n |
| 1 | University of Groningen | 68 | 2006 | 102 |
| 2 | Birmingham Children’s Hospital | 52 | 1242 | 49 |
| 3 | Oregon Health & Science University | 50 | 1546 | 89 |
| 4 | Biomarin Pharmaceutical Inc | 48 | 1548 | 96 |
| 5 | Children’s Hospital | 40 | 1285 | 79 |
| 6 | University of Milan | 36 | 844 | 31 |
| 7 | The University of Utah | 32 | 1230 | 78 |
| 8 | Hacettepe University | 30 | 558 | 62 |
| 9 | University of Zurich | 29 | 1191 | 24 |
| 10 | Washington University | 29 | 1036 | 46 |
Overall, institutions active in PKU research maintain strong and extensive collaborative relationships, forming a highly cohesive scientific community. The dense interinstitutional linkages observed in the network map indicate a well-integrated research ecosystem that facilitates efficient knowledge exchange and the rapid translation of scientific discoveries into clinical practice.
Journal Analysis
Journal analysis identified the core academic domains contributing to PKU research. The publications were distributed across 429 journals, of which 40 published at least 5 PKU-related articles. presents the journal co-citation network, visualizing the intellectual structure and disciplinary clustering of journals that have significantly contributed to PKU research. summarizes the top 10 journals, including their Journal Citation Reports category, impact factor (IF), number of articles, total citations, publisher, and country of origin. Molecular Genetics and Metabolism ranked first in both the number of articles and total citations, reflecting its central role in disseminating research directly related to the genetic and metabolic aspects of PKU. Most high-frequency journals were associated with genetics, metabolism, pediatrics, nutrition, rare diseases, and endocrinology.

Although journals with moderate impact factors account for the majority of publications, several high-impact international journals have also featured PKU-related research. The Lancet (IF=98.4), The New England Journal of Medicine (IF=74.7), Nature Medicine (IF=58.7), Cell Host & Microbe (IF=30.3), and Nature Communications (IF=16.6) have each published 1 to 2 articles on PKU. Despite the small output, these publications exhibit citation frequencies far above the field average, highlighting both the visibility of PKU research and the importance of its broader clinical and scientific implications.
| Rank | Journal name | 2023 IF | JCR category rank (quartile) | Publisher and country | Documents, n | Citations, n | Total link strength, n |
| 1 | Molecular Genetics and Metabolism | 2.9 | Q3 (Biochemistry & Molecular Biology) | Elsevier, United States | 151 | 4506 | 1259 |
| 2 | Journal of Inherited Metabolic Disease | 4.6 | Q2 (Genetics & Heredity) | Wiley, United States | 116 | 3612 | 911 |
| 3 | Nutrients | 5.9 | Q1 (Nutrition & Dietetics) | MDPI, Switzerland | 76 | 570 | 620 |
| 4 | Molecular Genetics and Metabolism Reports | 1.9 | Q4 (Biochemistry & Molecular Biology) | Elsevier, United States | 56 | 759 | 536 |
| 5 | Orphanet Journal of Rare Diseases | 3.7 | Q2 (Medicine, Research & Experimental) | Springer Nature, United Kingdom | 32 | 560 | 334 |
| 6 | Journal of Human Nutrition and Dietetics | 3.3 | Q2 (Nutrition & Dietetics) | Wiley, United Kingdom | 17 | 273 | 115 |
| 7 | Journal of Pediatrics | 3.3 | Q2 (Pediatrics) | Elsevier, United States | 15 | 523 | 160 |
| 8 | Pediatrics | 5.8 | Q1 (Pediatrics) | American Academy of Pediatrics, United States | 15 | 470 | 123 |
| 9 | Journal of Pediatric Endocrinology & Metabolism | 1.8 | Q4 (Pediatrics) or Q4 (Endocrinology & Metabolism) | Walter de Gruyter, Germany | 14 | 91 | 60 |
| 10 | PLOS One | 3.2 | Q2 (Multidisciplinary Sciences) | PLOS, United States | 13 | 319 | 128 |
aIF: impact factor.
bJCR: Journal Citation Reports.
Keyword Analysis
A total of 2291 keywords were extracted from the included publications. Among these, 46 terms meeting the threshold of ≥10 occurrences were selected for co-occurrence network analysis. presents the resulting keyword co-occurrence network. In the visualization, node size represents keyword frequency, color gradient indicates the temporal distribution of research attention (cool colors for earlier periods, warm colors for recent hotspots), and edge thickness reflects co-occurrence strength.

The results identified “phenylketonuria” (576 occurrences, centrality =0.74) as the dominant core term, forming a tightly connected research cluster with “phenylalanine metabolism” (156 occurrences), “tetrahydrobiopterin therapy” (60 occurrences), and “enzyme replacement therapy” (38 occurrences). In the domain of nutritional management, “dietary intervention” (46 occurrences), together with “protein substitutes” (19 occurrences) and “glycomacropeptide application” (23 occurrences), constituted the principal research axis. The strong association between “genotype analysis” (10 occurrences) and “hyperphenylalaninemia” (56 occurrences) highlights the increasing integration of precision medicine concepts into clinical practice. Notably, although terms such as “neurocognitive function” (13 occurrences) and “white matter integrity” (11 occurrences) appeared with moderate frequency, their relatively high betweenness centrality values (0.16‐0.19) indicate that they act as critical bridging nodes, connecting biochemical research with clinical outcome studies and signaling their importance as emerging research foci.
Temporal evolution analysis revealed 3 distinct phases of shifting research priorities. In the early phase, between 2000 and 2009, research predominantly centered on “classic dietary therapy” and “newborn screening system optimization.” In the second phase, from 2010 to 2017, research transitioned toward precision medicine directions, including “tetrahydrobiopterin responsiveness” and “genotype-phenotype correlations.” The most recent phase, from 2018 to 2024, converged on 3 cutting-edge directions: “pegylated enzyme preparations” (burst strength 7.86), “metabolomics analysis” (strength 6.24), and “oxidative stress monitoring” (strength 5.93). These areas reflect a paradigm shift toward molecularly targeted therapies and dynamic metabolic monitoring approaches.
illustrates the top 25 keywords with the strongest citation bursts, which further demonstrate 3 distinct evolutionary phases. Analysis of these top 25 keywords with the strongest citation bursts further demonstrates 3 distinct evolutionary phases. The early phase (2000‐2007) was defined by breakthroughs in biochemical mechanisms and cofactor therapy, as indicated by strong bursts for “tetrahydrobiopterin” (14.37) and “phenylalanine hydroxylase,” marking breakthroughs in cofactor therapy and metabolic pathway research. Concurrent bursts for “maternal PKU” (10.4) and “dietary treatment” highlighted foundational work in clinical management. The second phase (2011‐2020) witnessed a shift toward neurocognitive and long-term outcome research. During this period, “oxidative stress” (6.25) revealed novel pathological mechanisms, while emerging terms such as “quality of life” (8.91) and “adult patients” marked the growing emphasis on holistic and lifespan-oriented management. The recent phase (2022‐2025) exhibits precision management trends, with the keyword burst for “metabolic control” (5.12) highlighting increasing attention to individualized therapy, therapeutic optimization, and comprehensive outcome evaluation. Collectively, these trends reflect an overarching transition in PKU research from mechanistic exploration to clinical refinement, and ultimately toward precision and personalized medicine.

Reference Co-Citation Analysis
displays the reference co-citation network of foundational literature in PKU research, with node size reflecting citation frequency and edge thickness denoting co-citation strength. The structure reveals several distinct yet interrelated knowledge domains that collectively constitute the intellectual foundation of PKU research. Additionally, presents the same co-citation network in the form of a heatmap, providing an alternative visualization of node importance and clustering intensity.


The most prominent node in the network is Blau et al [] (Lancet, cited 233 times), which functions as a central integrative hub. This landmark publication on sapropterin responsiveness demonstrates strong co-citation links with both clinical management literature [,] and basic biochemical studies [,,]. Its position indicates its significant role in bridging mechanistic insights with therapeutic applications.
Two major intellectual lineages emerge clearly from the network: one lineage, the clinical management tradition, connects early seminal works on PKU diagnosis and treatment [,] (with later authoritative guidelines and consensus statements []. Meanwhile, a second lineage, the basic science and mechanistic tradition, links foundational biochemical studies [,,] with recent therapeutic advances [].
The network also highlights strong co-citation clusters connecting neurocognitive outcome studies [,,,] with metabolic research [,]. This relationship reflects the long-standing scientific recognition that metabolic control is intimately linked to neurological integrity and cognitive development in PKU. Notably, historical milestones [,] maintain enduring co-citation ties with contemporary research, emphasizing the cumulative and evolving nature of knowledge construction in this field.
Overall, the co-citation patterns demonstrate a highly integrated research ecosystem, characterized by dynamic interplay between basic science discoveries and clinical innovation. This close coupling between bench and bedside has enabled rapid translation of mechanistic findings into therapeutic advances ().
| Rank | Cited reference | Citations (n) | Total link strength (n) |
| 1 | Blau et al [], 2010 | 233 | 884 |
| 2 | van Wegberg et al [], 2017 | 192 | 788 |
| 3 | Vockley et al [], 2014 | 150 | 746 |
| 4 | Walter et al [], 2002 | 112 | 480 |
| 5 | van Spronsen et al [], 2017 | 94 | 413 |
| 6 | Bowersox [], 2001 | 80 | 330 |
| 7 | Pietz et al [], 1999 | 78 | 287 |
| 8 | Scriver and Kaufman [], 2001 | 78 | 216 |
| 9 | Waisbren et al [], 2007 | 76 | 400 |
| 10 | Kure et al [], 1999 | 74 | 226 |
Discussion
Principal Findings
This bibliometric analysis provides a comprehensive overview of global PKU treatment research from 2000 to 2025. The findings reveal a sustained increase in publication output over the past 25 years, reflecting growing scientific and clinical interest in PKU management. The United States and several European countries remain the dominant contributors to the field, supported by extensive international collaboration networks. Keyword co-occurrence, citation burst, and thematic evolution analyses demonstrate a gradual transition from traditional dietary management toward pharmacological interventions, enzyme substitution therapies, neurocognitive outcome assessment, and precision medicine–oriented approaches. Collectively, these findings highlight the increasing diversification of PKU research and suggest that future investigations are likely to focus on individualized therapeutic strategies and emerging disease-modifying technologies.
General Information
Since 2000, global research on PKU has advanced substantially. The United States and several European countries, particularly the Netherlands, Germany, and the United Kingdom, have formed the central research axis in this field. These countries exhibit not only high publication productivity but also strong citation performance, reflecting their long-standing research foundations and academic leadership [,,,-]. The current scientific landscape is distinctly internationalized, with dense collaborative links between North American and European institutions, as well as strong intra-European academic networks.
At the institutional and researcher levels, major contributions have largely originated from specialized metabolic centers and long-established clinical research groups. In the United States, researchers such as Cary O. Harding have been highly influential contributors to research on gene therapy and on pharmacological interventions in PKU and pharmacological innovation, with findings frequently published in high-impact journals, including Molecular Genetics and Metabolism, The Lancet, and The American Journal of Clinical Nutrition [,]. In the Netherlands, Francjan J. van Spronsen and Anita MacDonald have made seminal contributions in evidence-based dietary management, treatment optimization, and long-term outcome assessment, forming the empirical backbone for international PKU management guidelines [,]. Research teams in the United Kingdom further strengthened Europe’s leadership through influential work on neurocognitive development, metabolic phenotyping, and patient-centered outcome evaluation.
Large-scale multinational collaborations, most notably the European PKU Guidelines Working Group, as well as other long-term outcome research consortia, have generated landmark findings that clearly depict the relationship between early metabolic control and neurodevelopmental outcomes, paving the way for individualized treatment strategies []. The extensive and highly interconnected co-authorship networks observed in this study reflect these sustained collaborative efforts, highlighting not only the central roles of Europe and the United States but also the emerging contributions from Asia and Australia. Overall, these global research activities have deepened scientific understanding of PKU pathophysiology, mechanisms, and treatment strategies and also laid a solid foundation for advancing precision medicine and novel therapies for individuals living with PKU worldwide.
Research Hotspots and Theme Evolution
Bibliometric analysis indicates that “metabolic control or nutritional management” constitutes the most central and persistently active research cluster in PKU, serving as the conceptual bridge linking major thematic domains over the past 2 decades. Converging evidence from both clinical and basic research supports a core consensus: achieving sustained and stable metabolic control is essential for optimizing long-term outcomes in patients with PKU []. Longitudinal cohort studies demonstrate that early-life fluctuations in blood phenylalanine levels are closely associated with later neurocognitive performance, while neuroimaging studies reveal that metabolic instability correlates strongly with disruptions in white matter microstructure []. Comprehensive systematic reviews, most notably the analysis by van Spronsen in Molecular Genetics and Metabolism, have validated a dose-response relationship between blood phenylalanine thresholds and neurological injury. Disturbances in metabolic homeostasis, particularly elevated phenylalanine to tyrosine ratios, impair neurotransmitter synthesis and myelination, thereby heightening vulnerability to neurodevelopmental impairment []. Furthermore, phenotype-genotype association studies have linked PAH mutation profiles with metabolic phenotypes and treatment responsiveness, and Blau et al [] have advanced a genotype-guided framework for individualized therapeutic decision-making.
A second major keyword cluster focuses on “neurocognitive and behavioral outcomes,” encompassing concepts such as “executive function,” “white matter integrity,” and “cognitive development,” reflecting the ongoing investigation into the mechanisms of long-term neurological impairment in PKU. Tyrosine deficiency results in compromised prefrontal cortex function and reduced cognitive flexibility. These insights have broadened the research perspective from traditional metabolic monitoring to investigations of neurochemical pathways and functional brain networks, reframing PKU as a modifiable neurometabolic disorder. Consequently, the clinical priority has evolved from determining whether intellectual disability occurs to how to optimize neurodevelopmental pathways through early metabolic control [].
The third prominent research direction centers on therapeutic strategies and individualized interventions. Keywords such as “tetrahydrobiopterin responsiveness,” “enzyme replacement therapy,” “large neutral amino acids,” and “glycomacropeptide” illustrate the transition from uniform dietary management to precision medicine [,-]. Accumulating evidence supports the effectiveness of individualized therapeutic protocols tailored to genotype, metabolic phenotype, and pharmacological responsiveness, with demonstrated benefits for treatment adherence and quality of life. Current research priorities include defining optimal candidate populations for various treatment modalities (classic dietary therapy, cofactor treatment, and enzyme replacement therapy), developing models for predicting therapeutic efficacy, and refining protein substitute formulations to enhance metabolic stability. These research directions align with broader advancements in the management of inborn errors of metabolism and highlight the interdisciplinary integration of nutrition science, molecular biology, and pharmaceutical innovation [,].
From a chronological perspective, PKU research has progressed from macroscopic clinical observation to increasingly nuanced mechanistic understanding. During the early 2000s, investigations grounded in the “dietary control hypothesis” established treatment standards based on clinical observation and biochemical parameters. By approximately 2010, the rapid adoption of gene sequencing technologies propelled PAH genotype-phenotype correlations to the forefront, driving intensive examination of the metabolic consequences of specific mutations []. Since 2015, the emergence of long-term cohort studies, multimodal neuroimaging, and clinical trials of novel therapeutics has fostered the development of an integrated research paradigm that connects metabolic, genetic, neurocognitive, and behavioral dimensions of PKU [,]. Looking ahead, several areas hold strong potential for future breakthroughs: targeted modulation of key metabolic pathways to prevent neurotoxicity; integration of genetic backgrounds with metabolic phenotypes to identify high-risk subgroups and guide individualized interventions; and comprehensive characterization of the metabolic-brain-behavior axis in PKU through integrated models incorporating metabolomics, radiomics, and neurobehavioral profiling. Collectively, these advancements position precision metabolic management at the forefront of future PKU research and clinical practice [,].
Influential Literature and Research Paradigm Transformation
The early theoretical foundation of PKU research was shaped by the “metabolic imbalance hypothesis,” which emerged in the late 20th century and was refined through the seminal work of Scriver []. Landmark cohort studies soon provided clinical validation for this hypothesis. Notably, investigations by Pietz et al [] demonstrated a significant negative correlation between the duration of neonatal blood phenylalanine elevations above treatment thresholds and subsequent childhood IQ scores. These studies advanced the field beyond descriptive phenotypic characterization, establishing clear causal links between specific metabolic markers and neurodevelopmental outcomes, signaling a critical transition from macroscopic observation to mechanistic inquiry.
Around the year 2000, breakthroughs in molecular genetics and neuroimaging technologies catalyzed a profound methodological and conceptual transformation in PKU research. Using magnetic resonance spectroscopy, Sijens et al [] provided the first direct evidence of metabolic alterations within cerebral white matter, challenging the long-standing assumption that neurological impairment was driven solely by circulating phenylalanine levels. Subsequent studies further delineated the association between cerebral metabolic patterns, executive function deficits, neurophysiological changes, and clinical severity, including analyses of large-scale brain network connectivity in adults with PKU. Currently, nutrition-focused research, exemplified by work from the European PKU Guideline Collaboration Group, integrates metabolomics and neuropsychological assessments to reveal how deficiencies in essential amino acids disrupt neurotransmitter synthesis and influence neurodevelopmental tendencies []. Together, these advances established “metabolic dysregulation affecting neurological function” as a core research paradigm and formed an interconnected knowledge framework that spans theoretical hypotheses, clinical observations, and mechanistic studies.
Findings from citation burst analysis indicate that the field is now undergoing a second paradigm shift, moving from mechanistic explanation toward clinical translation. Recent highly cited studies increasingly focus on the metabolic-brain axis, multi-omics integration, and precision nutrition strategies, reflecting the transformative impacts of high-throughput sequencing, metabolomics, and systems-level analytical platforms. With these technologies, researchers can characterize metabolic status in situ, map metabolic pathways, and model nutrient-metabolism-neural interactions in ways previously unattainable [,,]. These advances are steering PKU research toward prevention-oriented metabolic management and precision medicine. Future priorities include the targeted restoration of key metabolic pathways to avert neurological injury, the integration of genetic and metabolic profiles for risk stratification, and the application of multi-omics approaches to identify therapeutic targets. Collectively, the progression from empirical observation to mechanistic understanding, and finally to translational innovation, reflects a maturing research paradigm. It suggests that metabolism-guided strategies will be at the forefront of future PKU management. In addition to dietary management, pharmacological treatment, and enzyme substitution therapy, gene therapy has emerged as a promising frontier in PKU research. Recent advances in adeno-associated virus–mediated gene delivery, genome editing technologies, and liver-directed therapeutic strategies have demonstrated encouraging preclinical and early clinical results. Although challenges related to long-term safety, durability of therapeutic effects, and large-scale clinical implementation remain, gene therapy has the potential to provide sustained metabolic correction and may fundamentally transform the treatment paradigm for PKU in the future [,].
Limitations
This study has several limitations that should be acknowledged. First, the analysis was based exclusively on publications indexed in the WoSCC. Although WoSCC is widely recognized as a reliable source for bibliometric research, relevant studies indexed exclusively in other databases, such as PubMed, Scopus, or Embase, may have been omitted. Second, only English-language publications were included, which may have introduced language bias and resulted in the underrepresentation of research from non–English-speaking regions. Third, although bibliometric indicators such as publication counts and citation frequencies are useful for evaluating research productivity and academic influence, they do not directly reflect methodological quality, clinical significance, or scientific rigor. In addition, citation-based metrics may be influenced by factors such as self-citation and differences in citation practices across disciplines. Fourth, despite efforts to standardize author names, institutional affiliations, and country information, residual inconsistencies in database records may have affected certain collaboration and productivity analyses. Finally, because the literature search was conducted on September 13, 2025, the publication data for 2025 represent only a partial year and should therefore be interpreted with caution. Nevertheless, by integrating VOSviewer and CiteSpace and examining 25 years of scholarly output, this study provides a comprehensive overview of the evolution, collaboration patterns, and emerging research directions in PKU treatment research.
Conclusions
This bibliometric analysis systematically delineates the development of PKU research over the past 25 years. The field has advanced from an initial stage grounded in metabolic control and dietary intervention toward a mechanistic era characterized by elucidation of the metabolic-neural axis, and is now transitioning into a precision-medicine paradigm that integrates tailored nutrition, enzyme replacement therapies, and targeted metabolic regulation. Global research output continues to be dominated by the United States and several European countries, with China emerging as an increasingly influential contributor. Co-authorship networks and institutional collaboration patterns reveal a cohesive core of long-standing international collaborations that have consistently propelled high-impact progress. Keyword evolution and reference burst analyses jointly highlight individualized metabolic management through integrated multi-omics as the current frontier of PKU research.
Acknowledgments
OpenAI’s ChatGPT (GPT-5) was used solely for language refinement and editorial assistance. All scientific content, data interpretation, and conclusions were independently verified, critically reviewed, and approved by all authors. The use of ChatGPT did not influence the scientific validity or results of the study.
Funding
This work was supported by the CAMS Innovation Fund for Medical Sciences (2025-I2M-KJ018), the Fundamental Research Funds for the Central Universities, Peking Union Medical College (3332025164), the China National Postdoctoral Program for Innovative Talents (BX20240044), and the Lingang Laboratory Project (LGL-2615-07).
Data Availability
The datasets analyzed in this study were obtained from the Web of Science Core Collection, which is publicly available. The analysis code can be made available from the corresponding author upon reasonable request.
Authors' Contributions
Conceptualization: LW, KS, QC
Data curation: LW, SY, KS
Formal analysis: SY, QC
Investigation: KS, QC
Supervision: LW
Writing – original draft: SY
Writing – review & editing: LW, KS, QC, JJ
Conflicts of Interest
None declared.
References
- Blau N, van Spronsen FJ, Levy HL. Phenylketonuria. Lancet. Oct 23, 2010;376(9750):1417-1427. [CrossRef] [Medline]
- van Spronsen FJ, Blau N, Harding C, Burlina A, Longo N, Bosch AM. Phenylketonuria. Nat Rev Dis Primers. May 20, 2021;7(1):36. [CrossRef] [Medline]
- Appelberg K, Sörensen L, Zetterström RH, Henriksson M, Wedell A, Levin LÅ. Cost-effectiveness of newborn screening for phenylketonuria and congenital hypothyroidism. J Pediatr. May 2023;256:38-43.e3. [CrossRef] [Medline]
- Chen KY, Chan HC, Chan CM. How has global research on neural degeneration in glaucoma evolved from 1977 to 2025? A pioneering bibliometric insight into trends, impact, and future directions. Int Ophthalmol. Aug 13, 2025;45(1):335. [CrossRef] [Medline]
- Chen KY, Chan HC, Chan CM. Global trends and developments in research on visually impaired athletes from 1960 to 2025: a bibliometric analysis. Eur J Ophthalmol. Jul 2026;36(4):997-1006. [CrossRef] [Medline]
- Ninkov A, Frank JR, Maggio LA. Bibliometrics: methods for studying academic publishing. Perspect Med Educ. Jun 2022;11(3):173-176. [CrossRef] [Medline]
- Arruda H, Silva ER, Lessa M, Proença D Jr, Bartholo R. VOSviewer and Bibliometrix. J Med Libr Assoc. Jul 1, 2022;110(3):392-395. [CrossRef] [Medline]
- Zhong D, Li Y, Huang Y, Hong X, Li J, Jin R. Molecular mechanisms of exercise on cancer: a bibliometrics study and visualization analysis via CiteSpace. Front Mol Biosci. 2022;8:797902. [CrossRef] [Medline]
- Chen KY, Chan HC, Chan CM. Can gene therapy transform the treatment landscape of posterior segment eye diseases? A comprehensive review of recent advancements. Drugs. Dec 2025;85(12):1585-1608. [CrossRef] [Medline]
- Chen KY, Chan HC, Chan CM. Can stem cell therapy revolutionize ocular disease treatment? A critical review of preclinical and clinical advances. Stem Cell Rev Rep. Jun 2025;21(5):1160-1185. [CrossRef] [Medline]
- van Wegberg AMJ, MacDonald A, Ahring K, et al. The complete European guidelines on phenylketonuria: diagnosis and treatment. Orphanet J Rare Dis. Oct 12, 2017;12(1):162. [CrossRef] [Medline]
- van Spronsen FJ, van Wegberg AM, Ahring K, et al. Key European guidelines for the diagnosis and management of patients with phenylketonuria. Lancet Diabetes Endocrinol. Sep 2017;5(9):743-756. [CrossRef] [Medline]
- Hillert A, Anikster Y, Belanger-Quintana A, et al. The genetic landscape and epidemiology of phenylketonuria. Am J Hum Genet. Aug 6, 2020;107(2):234-250. [CrossRef] [Medline]
- Kure S, Hou DC, Ohura T, et al. Tetrahydrobiopterin-responsive phenylalanine hydroxylase deficiency. J Pediatr. Sep 1999;135(3):375-378. [CrossRef] [Medline]
- Walter JH, White FJ, Hall SK, et al. How practical are recommendations for dietary control in phenylketonuria? Lancet. Jul 6, 2002;360(9326):55-57. [CrossRef] [Medline]
- Pietz J, Kreis R, Rupp A, et al. Large neutral amino acids block phenylalanine transport into brain tissue in patients with phenylketonuria. J Clin Invest. Apr 1999;103(8):1169-1178. [CrossRef] [Medline]
- Scriver CR, Kaufman S. Hyperphenylalaninemia: phenylalanine hydroxylase deficiency. In: Scriver CR, Beaudet AL, Sly WS, Valle D, Childs B, Kinzler KW, et al, editors. The Metabolic and Molecular Bases of Inherited Disease. 8th ed. McGraw-Hill; 2001:1667-1724. ISBN: 0079130356
- Trefz FK, Burton BK, Longo N, et al. Efficacy of sapropterin dihydrochloride in increasing phenylalanine tolerance in children with phenylketonuria: a phase III, randomized, double-blind, placebo-controlled study. J Pediatr. May 2009;154(5):700-707. [CrossRef] [Medline]
- Sarkissian CN, Shao Z, Blain F, et al. A different approach to treatment of phenylketonuria: phenylalanine degradation with recombinant phenylalanine ammonia lyase. Proc Natl Acad Sci U S A. Mar 2, 1999;96(5):2339-2344. [CrossRef] [Medline]
- Jurecki ER, Cederbaum S, Kopesky J, et al. Adherence to clinic recommendations among patients with phenylketonuria in the United States. Mol Genet Metab. Mar 2017;120(3):190-197. [CrossRef] [Medline]
- Christ SE, Huijbregts SCJ, de Sonneville LMJ, White DA. Executive function in early-treated phenylketonuria: profile and underlying mechanisms. Mol Genet Metab. 2010;99 Suppl 1:S22-S32. [CrossRef] [Medline]
- Welsh MC, Pennington BF, Ozonoff S, Rouse B, McCabe ERB. Neuropsychology of early-treated phenylketonuria: specific executive function deficits. Child Dev. Dec 1990;61(6):1697-1713. [CrossRef] [Medline]
- Muntau AC, Röschinger W, Habich M, et al. Tetrahydrobiopterin as an alternative treatment for mild phenylketonuria. N Engl J Med. Dec 26, 2002;347(26):2122-2132. [CrossRef] [Medline]
- National Institutes of Health Consensus Development Panel, Bowersox J. National Institutes of Health Consensus Development Conference Statement: phenylketonuria: screening and management, October 16-18, 2000. Pediatrics. Oct 2001;108(4):972-982. [CrossRef] [Medline]
- Waisbren SE, Noel K, Fahrbach K, et al. Phenylalanine blood levels and clinical outcomes in phenylketonuria: a systematic literature review and meta-analysis. Mol Genet Metab. 2007;92(1-2):63-70. [CrossRef] [Medline]
- Levy HL, Milanowski A, Chakrapani A, et al. Efficacy of sapropterin dihydrochloride (tetrahydrobiopterin, 6R-BH4) for reduction of phenylalanine concentration in patients with phenylketonuria: a phase III randomised placebo-controlled study. The Lancet. Aug 2007;370(9586):504-510. [CrossRef]
- Shedlovsky A, McDonald JD, Symula D, Dove WF. Mouse models of human phenylketonuria. Genetics. Aug 1993;134(4):1205-1210. [CrossRef] [Medline]
- Singh RH, Rohr F, Frazier D, et al. Recommendations for the nutrition management of phenylalanine hydroxylase deficiency. Genet Med. Feb 2014;16(2):121-131. [CrossRef] [Medline]
- Thompson AJ, Smith I, Brenton D, et al. Neurological deterioration in young adults with phenylketonuria. Lancet. Sep 8, 1990;336(8715):602-605. [CrossRef] [Medline]
- Enns GM, Koch R, Brumm V, Blakely E, Suter R, Jurecki E. Suboptimal outcomes in patients with PKU treated early with diet alone: revisiting the evidence. Mol Genet Metab. 2010;101(2-3):99-109. [CrossRef] [Medline]
- Cleary MA, Walter JH, Wraith JE, et al. Magnetic resonance imaging of the brain in phenylketonuria. Lancet. Jul 9, 1994;344(8915):87-90. [CrossRef] [Medline]
- Cazzorla C, Bensi G, Biasucci G, et al. Living with phenylketonuria in adulthood: The PKU ATTITUDE study. Mol Genet Metab Rep. Sep 2018;16:39-45. [CrossRef] [Medline]
- Thompson AJ, Tillotson S, Smith I, Kendall B, Moore SG, Brenton DP. Brain MRI changes in phenylketonuria. Associations with dietary status. Brain. Aug 1993;116 ( Pt 4)(4):811-821. [CrossRef] [Medline]
- Ford S, O’Driscoll M, MacDonald A. Living with Phenylketonuria: lessons from the PKU community. Mol Genet Metab Rep. Dec 2018;17:57-63. [CrossRef] [Medline]
- Moyle JJ, Fox AM, Arthur M, Bynevelt M, Burnett JR. Meta-analysis of neuropsychological symptoms of adolescents and adults with PKU. Neuropsychol Rev. Jun 2007;17(2):91-101. [CrossRef] [Medline]
- Anderson PJ, Leuzzi V. White matter pathology in phenylketonuria. Mol Genet Metab. 2010;99 Suppl 1(suppl 1):S3-S9. [CrossRef] [Medline]
- Bilder DA, Noel JK, Baker ER, et al. Systematic review and meta-analysis of neuropsychiatric symptoms and executive functioning in adults with phenylketonuria. Dev Neuropsychol. 2016;41(4):245-260. [CrossRef] [Medline]
- DeRoche K, Welsh M. Twenty-five years of research on neurocognitive outcomes in early-treated phenylketonuria: intelligence and executive function. Dev Neuropsychol. 2008;33(4):474-504. [CrossRef] [Medline]
- Romani C, Palermo L, MacDonald A, Limback E, Hall SK, Geberhiwot T. The impact of phenylalanine levels on cognitive outcomes in adults with phenylketonuria: effects across tasks and developmental stages. Neuropsychology. Mar 2017;31(3):242-254. [CrossRef] [Medline]
- Burton BK, Grange DK, Milanowski A, et al. The response of patients with phenylketonuria and elevated serum phenylalanine to treatment with oral sapropterin dihydrochloride (6R-tetrahydrobiopterin): a phase II, multicentre, open-label, screening study. J Inherit Metab Dis. Oct 2007;30(5):700-707. [CrossRef] [Medline]
- Medical Research Council Working Party on Phenylketonuria. Recommendations on the dietary management of phenylketonuria. Report of Medical Research Council Working Party on Phenylketonuria. Arch Dis Child. Mar 1993;68(3):426-427. [CrossRef] [Medline]
- Scriver CR, Kaufman S, Eisensmith RC, Woo SLC. The hyperphenylalaninemias. In: Scriver CR, Beaudet AL, Sly WS, Valle D, editors. The Metabolic and Molecular Bases of Inherited Disease. 7th ed. McGraw-Hill; 1995:1015-1075. ISBN: 0079098266
- Surtees R, Blau N. The neurochemistry of phenylketonuria. Eur J Pediatr. Oct 2000;159 Suppl 2(S2):S109-S113. [CrossRef] [Medline]
- Diamond A, Prevor MB, Callender G, Druin DP. Prefrontal cortex cognitive deficits in children treated early and continuously for PKU. Monogr Soc Res Child Dev. 1997;62(4):i-v. [CrossRef] [Medline]
- Brumm VL, Azen C, Moats RA, et al. Neuropsychological outcome of subjects participating in the PKU adult collaborative study: a preliminary review. J Inherit Metab Dis. 2004;27(5):549-566. [CrossRef] [Medline]
- Pietz J, Benninger C, Schmidt H, Scheffner D, Bickel H. Long-term development of intelligence (IQ) and EEG in 34 children with phenylketonuria treated early. Eur J Pediatr. May 1988;147(4):361-367. [CrossRef] [Medline]
- Lenke RR, Levy HL. Maternal phenylketonuria and hyperphenylalaninemia. N Engl J Med. Nov 20, 1980;303(21):1202-1208. [CrossRef] [Medline]
- Vockley J, Andersson HC, Antshel KM, et al. Phenylalanine hydroxylase deficiency: diagnosis and management guideline. Genet Med. Feb 2014;16(2):188-200. [CrossRef] [Medline]
- MacDonald A, Gokmen-Ozel H, van Rijn M, Burgard P. The reality of dietary compliance in the management of phenylketonuria. J Inherit Metab Dis. Dec 2010;33(6):665-670. [CrossRef] [Medline]
- Smith WE, Berry SA, Bloom K, et al. Phenylalanine hydroxylase deficiency diagnosis and management: a 2023 evidence-based clinical guideline of the American College of Medical Genetics and Genomics (ACMG). Genet Med. Jan 2025;27(1):101289. [CrossRef] [Medline]
- Thomas J, Levy H, Amato S, et al. Pegvaliase for the treatment of phenylketonuria: results of a long-term phase 3 clinical trial program (PRISM). Mol Genet Metab. May 2018;124(1):27-38. [CrossRef] [Medline]
- Harding CO. Sepiapterin: a potential new therapy for phenylketonuria. Lancet. Oct 5, 2024;404(10460):1284-1286. [CrossRef] [Medline]
- Harding CO, Arnold G, Berry GT, et al. Phenylketonuria in adults: we know plenty, but there is much more to learn. Am J Clin Nutr. Mar 2025;121(3):741-743. [CrossRef] [Medline]
- Evers RAF, van Wegberg AMJ, MacDonald A, Huijbregts SCJ, Leuzzi V, van Spronsen FJ. Dietary liberalization in tetrahydrobiopterin-treated PKU patients: does it improve outcomes? Nutrients. Sep 19, 2022;14(18):3874. [CrossRef] [Medline]
- Vardy ERLC, MacDonald A, Ford S, Hofman DL. Phenylketonuria, co-morbidity, and ageing: a review. J Inherit Metab Dis. Mar 2020;43(2):167-178. [CrossRef] [Medline]
- Muri R, Maissen-Abgottspon S, Reed MB, et al. Compromised white matter is related to lower cognitive performance in adults with phenylketonuria. Brain Commun. 2023;5(3):fcad155. [CrossRef] [Medline]
- Blau N, MacDonald A, van Spronsen F. There is no doubt that the early identification of PKU and prompt and continuous intervention prevents mental retardation in most patients. Mol Genet Metab. 2011;104:S1. [CrossRef] [Medline]
- Leuzzi V, Chiarotti F, Nardecchia F, van Vliet D, van Spronsen FJ. Predictability and inconsistencies of cognitive outcome in patients with phenylketonuria and personalised therapy: the challenge for the future guidelines. J Med Genet. Mar 2020;57(3):145-150. [CrossRef] [Medline]
- Lammi C, Bollati C, Fiori L, et al. Glycomacropeptide (GMP) rescued the oxidative and inflammatory activity of free L-AAs in human Caco-2 cells: new insights that support GMP as a valid and health-promoting product for the dietary management of phenylketonuria (PKU) patients. Food Res Int. Nov 2023;173(Pt 1):113258. [CrossRef] [Medline]
- Scala I, Riccio MP, Marino M, Bravaccio C, Parenti G, Strisciuglio P. Large neutral amino acids (LNAAs) supplementation improves neuropsychological performances in adult patients with phenylketonuria. Nutrients. Apr 15, 2020;12(4):1092. [CrossRef] [Medline]
- Scala I, Brodosi L, Gueraldi D, et al. Pegvaliase therapy for phenylketonuria: real-world case series and clinical insights. Mol Genet Metab. May 2024;142(1):108151. [CrossRef] [Medline]
- Verduci E, Carbone MT, Borghi E, Ottaviano E, Burlina A, Biasucci G. Nutrition, microbiota and role of gut-brain axis in subjects with phenylketonuria (PKU): a review. Nutrients. Oct 29, 2020;12(11):3319. [CrossRef] [Medline]
- Ubaldi F, Frangella C, Volpini V, Fortugno P, Valeriani F, Romano Spica V. Systematic review and meta-analysis of dietary interventions and microbiome in phenylketonuria. Int J Mol Sci. Dec 13, 2023;24(24):17428. [CrossRef] [Medline]
- Bashyam MD, Chaudhary AK, Reddy EC, et al. Phenylalanine hydroxylase gene mutations in phenylketonuria patients from India: identification of novel mutations that affect PAH RNA. Mol Genet Metab. May 2010;100(1):96-99. [CrossRef] [Medline]
- Muri R, Rummel C, McKinley R, et al. Transient brain structure changes after high phenylalanine exposure in adults with phenylketonuria. Brain. Nov 4, 2024;147(11):3863-3873. [CrossRef] [Medline]
- Longo N, Siriwardena K, Feigenbaum A, et al. Long-term developmental progression in infants and young children taking sapropterin for phenylketonuria: a two-year analysis of safety and efficacy. Genet Med. May 2015;17(5):365-373. [CrossRef] [Medline]
- Garrett R, Ptolemy AS, Pickett S, Kellogg MD, Peake RWA. Untargeted metabolomics for inborn errors of metabolism: development and evaluation of a sustainable reference material for correcting inter-batch variability. Clin Chem. Dec 2, 2024;70(12):1452-1462. [CrossRef] [Medline]
- Koppes EA, Redel BK, Johnson MA, et al. A porcine model of phenylketonuria generated by CRISPR/Cas9 genome editing. JCI Insight. Oct 15, 2020;5(20):e141523. [CrossRef] [Medline]
- Scriver CR. The PAH gene, phenylketonuria, and a paradigm shift. Hum Mutat. Sep 2007;28(9):831-845. [CrossRef] [Medline]
- Sijens PE, Oudkerk M, Reijngoud DJ, Leenders KL, de Valk HW, van Spronsen FJ. 1H MR chemical shift imaging detection of phenylalanine in patients suffering from phenylketonuria (PKU). Eur Radiol. Oct 2004;14(10):1895-1900. [CrossRef] [Medline]
- Parolisi S, Montanari C, Borghi E, et al. Possible role of tryptophan metabolism along the microbiota-gut-brain axis on cognitive & behavioral aspects in phenylketonuria. Pharmacol Res. Nov 2023;197:106952. [CrossRef] [Medline]
- van der Goot E, Vink SN, van Vliet D, van Spronsen FJ, Falcao Salles J, van der Zee EA. Gut-microbiome composition in response to phenylketonuria depends on dietary phenylalanine in BTBR Pahenu2 mice. Front Nutr. 2022;8:735366. [CrossRef] [Medline]
Abbreviations
| IF: impact factor |
| PAH: phenylalanine hydroxylase |
| PKU: phenylketonuria |
| WoSCC: Web of Science Core Collection |
Edited by Kerstin Gierend; submitted 03.Feb.2026; peer-reviewed by Chi Ming Chan, Fan Jiang, Guangxin Wang, Xinghe Zhang; final revised version received 08.Jun.2026; accepted 11.Jun.2026; published 03.Sep.2026.
Copyright© Sitong Yang, Kaichao Song, Qingbo Chen, Jiandong Jiang, Lulu Wang. Originally published in the Online Journal of Public Health Informatics (https://ojphi.jmir.org/), 3.Sep.2026.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Online Journal of Public Health Informatics, is properly cited. The complete bibliographic information, a link to the original publication on https://ojphi.jmir.org/, as well as this copyright and license information must be included.

