Citations

SummaryBackgroundTherapy for coeliac disease (CD) mainly relies on following a gluten‐free diet (GFD); however, a serum marker for gluten intake has yet to be established.AimTo evaluate the utility of alkylresorcinol concentrations for detecting gluten intake in studies of human and mouse.MethodsAlkylresorcinol concentrations were compared among treated patients with coeliac disease (n = 34), untreated coeliac disease patients (n = 36) and controls (n = 33). Furthermore, seven additional coeliac disease patients whose serum samples were available at diagnosis and after GFD were evaluated. In mice studies, alkylresorcinol concentrations were compared in the serum of five mice fed a regular chow and 10 mice fed lifelong with a gluten‐free chow. In addition, the effect of adding gluten on changes of alkylresorcinol concentrations was also evaluated.ResultsTotal alkylresorcinol concentrations were significantly lower in treated with coeliac disease [median (IQR), 3 (2–8) nmol/L], compared to untreated patients [median (IQR), 32 (11–74) nmol/L; P < 0.0001] or healthy controls [median (IQR), 54 (23–112) nmol/L; P < 0.0001]. Moreover, alkylresorcinol concentrations in coeliac disease patients significantly decreased after introduction of a GFD (median, 34 nmol/L at diagnosis vs. 5 nmol/L after GFD, P = 0.02). In the mice, median (IQR) total alkylresorcinol concentrations in serum samples of mice fed lifelong with a gluten‐free chow was 1.8 (1.6–2.3) nmol/L, which was further significantly increased to 16 (11–22) nmol/L after 8 days of feeding with the gluten‐free chow that had gluten added to it. (P = 0.008).ConclusionSerum alkylresorcinol concentrations could be a useful marker for dietary gluten in coeliac disease.

Key Clinical Message One of the strongest risk factors predisposing patients to breast cancer is a positive family history. In our study, we describe a patient diagnosed with multiple breast cancer tumors. Genetic analysis revealed a pathogenic variant in BARD1 , which is associated with an increased risk of developing certain types of cancer.

Lysozyme amyloidosis (ALys) is a rare form of hereditary amyloidosis that typically manifests with renal impairment, gastrointestinal (GI) symptoms, and sicca syndrome, whereas cardiac involvement is exceedingly rare and neuropathy has not been reported. Here, we describe a 40-year-old man with renal impairment, cardiac and GI symptoms, and peripheral neuropathy. Renal biopsy specimen analysis revealed amyloidosis with extensive involvement of glomeruli, vessels, and medulla. Amyloid was also detected in the GI tract. Echocardiographic and electrocardiographic findings were consistent with cardiac involvement. Proteomic analysis of Congo red–positive renal and GI amyloid deposits detected abundant lysozyme C protein. DNA sequencing of the lysozyme gene in the patient and his mother detected a heterozygous c.305T>C alteration in exon 3, which causes a leucine to serine substitution at codon 102 (Human Genome Variation Society nomenclature: p.Leu102Ser; legacy designation: L84S). We also detected the mutant peptide in the proband’s renal and GI amyloid deposits. PolyPhen analysis predicted that the mutation damages the encoded protein. Molecular dynamics simulations suggested that the pathogenesis of ALys p.Leu102Ser is mediated by shifting the position of the central β -hairpin coordinated with an antiparallel motion of the C-terminal helix, which may alter the native-state structural ensemble of the molecule, leading to aggregation-prone intermediates.

Background and purposeIntensity‐modulated proton therapy (IMPT) is highly sensitive to range uncertainties and uncertainties caused by setup variation. The conventional inverse treatment planning of IMPT based on the planning target volume (PTV) is not often sufficient to ensure robustness of treatment plans. We applied a probabilistic framework (chance‐constrained optimization) in IMPT planning to hedge against the influence of uncertainties.Material and methodsWe retrospectively selected one patient with lung cancer, one patient with head and neck (H&N) cancer, and one with prostate cancer for this analysis. Using their original images and prescriptions, we created new IMPT plans using two methods: (1) a robust chance‐constrained treatment planning method with the clinical target volume (CTV) as the target; (2) the margin‐based method with PTV as the target, which was solved by commercial software, CPLEX, using linear programming. For the first method, we reformulated the model into a tractable mixed‐integer programming problem and sped up the calculation using Benders decomposition. The dose‐volume histograms (DVHs) from the nominal and perturbed dose distributions were used to assess and compare plan quality. DVHs for all uncertain scenarios along with the nominal DVH were plotted. The width of the “bands” of DVHs was used to quantify the plan sensitivity to uncertainty. The newly developed Benders decomposition method was compared with a commercial solution to demonstrate its computational efficiency. The trade‐off between nominal plan quality and plan robustness was investigated.ResultsOur chance‐constrained model outperformed the PTV method in terms of tumor coverage, tumor dose homogeneity, and plan robustness. Our model was shown to produce IMPT plans to meet the dose‐volume constraints of organs at risk (OARs) and had better sparing of OARs than the PTV method in the three clinical cases included in this study. The chance‐constrained model provided a flexible tool for users to balance between plan robustness and plan quality. In addition, our in‐house developed method was found to be much faster than the commercial solution.ConclusionWith explicit control of plan robustness, the chance‐constrained robust optimization model generated superior IMPT plans compared to the PTV‐based method.

Background Endotyping chronic rhinosinusitis (CRS) through simplified cytokine assays may help direct individualized therapy such as corticosteroids, antibiotics, or biologics. We performed an unsupervised network analysis to endotype CRS and control subjects using a commercially available cytokine‐chemokine immunoassay. Methods A 41‐plex cytokine‐chemokine array along with major basic protein (MBP) assay was performed on sinonasal surgical tissue of 32 adults. Subjects were defined as non‐CRS controls (n = 6), CRS with nasal polyps (CRSwNP; n = 13), and CRS without nasal polyps (CRSsNP; n = 13). Unsupervised network modeling was performed to reveal association cytokine‐chemokine (“analyte”) clusters and “subject” groups. Results Network mapping and unsupervised clustering revealed 3 analyte clusters and 3 subject groups. Analyte cluster‐1 was composed of T helper 1 (Th1)/Th17 type markers, analyte cluster‐2 Th2 markers, and analyte cluster‐3 chemokines (CC) and growth factors (GF). Subject group‐1 was devoid of CRSwNP, had fewer asthmatics, and was associated most strongly with analyte cluster‐3 (CC/GF) ( p < 0.001). Subject group‐2 was characterized with the most asthmatics (86%) and CRSwNP (100%) patients, and was associated with analyte cluster‐2 (Th2; p < 0.001). Subject group‐3 was associated with both analyte cluster‐1 (Th1/Th17) and analyte cluster‐3 (CC/GF) ( p < 0.001), and had the highest proportion of CRSsNP patients (62.5%). Tissue levels of MBP, eosinophilia, and computed tomography (CT) scores were significantly higher in subject group‐2 vs other groups ( p ≤ 0.05). Conclusion An unbiased network‐mapping approach using a commercially available immunoassay kit reveals 3 distinct tissue cytokine‐chemokine signatures that endotype CRS patients and controls. These signatures are prominent even in a limited number of patients, and may help formulate individualized therapy and optimize outcomes.