Tinker, R J

Abstract Background Black women are more likely to develop and die from early‐onset breast cancer. Hereditary breast cancer (HBC) is strongly associated with early age of onset. Accordingly, HBC characteristics in young Black women were evaluated. Methods Black women diagnosed with invasive breast cancer at age 50 years or younger between 2005 and 2018 were recruited through the state cancer registries in Florida and Tennessee. Participants were asked to complete a questionnaire, sign medical records releases, and donate a saliva sample for free genetic testing to identify HBC germline pathogenic or likely pathogenic variant (GPV). Women with sporadic versus hereditary breast cancer were compared, based on age distribution, clinical characteristics, and family cancer history. Results Among 686 participants with confirmed genetic testing, 15.3% had GPVs in breast and/or ovarian cancer predisposition genes, including BRCA1 (7.7%), BRCA2 (4.5%), PALB2 (0.9%), and ATM (0.7%), with 1.5% in other genes. Compared to the sporadic group, triple‐negative breast cancers were overrepresented among BRCA1 carriers (23.6% vs. 75.5%; p < .001), and family history of breast cancer was significantly more frequent among BRCA1 , BRCA2 , and PALB2 carriers (all p < .05). The majority of breast cancers occurred by age 40 years in BRCA1 carriers (52.8%), compared to other genes, where age was more evenly distributed. Conclusion Among unselected young Black women with breast cancer, our findings demonstrate that the highest frequency of HBC GPVs are in BRCA1 , BRCA2, and PALB2, with identification of distinct histopathologic and demographic characteristics across HBC genes, underscoring the critical need for genetic testing in all populations.

Abstract Background Mono-allelic Dehydrodolichyl Diphosphate Synthase ( DHDDS) variants are associated with juvenile Parkinsonism, developmental delay and seizures. Symptoms are progressive, and various mechanisms, such as defective glycosylation, lysosomal dysfunction and cholesterol accumulation have been hypothesized to underlie disease symptoms. There is no treatment for DHDDS-related disease. Methods Patient-derived cortical forebrain organoids were created to elucidate disease mechanisms and evaluate potential treatments. In these neuronal models, glycosylation, lipidomics, proteomics, cholesterol/ganglioside accumulation, mitochondrial function and electrophysiological activity were assessed. Finally, we investigated the effects of nicotinamide mononucleotide (NMN), identified through a yeast-based drug screen, in neuronal cell models and in six patients in an off-label, N-of-1, observational series. Results DHDDS-patient derived organoids showed visual signs of degeneration after four months of culturing. This was accompanied by significant cholesterol accumulation in astrocytes, decreased mitochondrial respiration and loss of deep-layer neurons. In addition, we identified glycosylation abnormalities, showing for the first time that glycosylation in human tissue is affected by monoallelic DHDDS variants. Proteomic analysis revealed altered protein expression of proteins involved in lipid metabolism, cytoskeletal organization and neuronal development. We found that oral Nicotinamide Mononucleotide supplementation led to significant improvement in mitochondrial respiration and electrophysiological parameters in organoids, concurring with clinical improvements in all of the treated patients, particularly regarding their ataxia and tremor. Conclusion Our findings reveal a progressive phenotype in DHDDS-patient-derived brain organoids, with mitochondrial dysfunction and astrocyte-specific metabolic alterations contributing to disease pathology. Notably, NMN treatment led to clinical improvements in patients with heterozygous DHDDS variants, highlighting its potential as a therapeutic strategy.

Abstract Background The number of known inherited metabolic diseases (IMDs) has been expanding, and the rate of diagnosis is improving with the development of innovative approaches including next generation sequencing (NGS). However, a substantial proportion of IMDs remain undetected by traditional diagnostic approaches. We aim to highlight the spectrum of IMDs diagnosed by the Undiagnosed Diseases Network (UDN) and to learn from the UDN diagnostic processes that were able to detect IMDs. Methods We conducted a retrospective analysis of 757 UDN participants diagnosed from 2015 until 2023 using the cohort database, which were divided into a cohort with IMDs (n = 194; 27%) and a cohort whose phenotypes were not explained by an IMD (n = 563; 73%), based on the International Classification of Inherited Metabolic Disorders (ICIMD). Then, we divided the causes of the metabolic 194 diagnoses into seven groups that included all the ICIMD categories. We inspected which clinical and laboratory approaches contributed to a final UDN diagnosis. We also present a UDN case example from each group to highlight the diagnostic yields that resulted from combining newer diagnostic approaches in the UDN and illustrate potential pitfalls of current NGS methods. Results These 194 cases of IMDs included examples from 21/25 (84%) of the ICIMD categories. Of the UDN subjects 164/194 (85%) were diagnosed with IMDs through NGS. Conclusion The spectrum of IMDs detected in the UDN cohort is large and growing and appropriate use of newer multiple diagnostic approaches should further increase diagnosis of IMDs that are presently missed by the traditional laboratory screening methods.