Time-Resolved Ultraviolet Photodissociation Mass Spectrometry Probes the Mutation-Induced Alterations in Protein Stability and Unfolding Dynamics.

How mutations impact protein stability and structure dynamics is crucial for understanding the pathological process and rational drug design. Herein, we establish a time-resolved native mass spectrometry (TR-nMS) platform via a rapid-mixing capillary apparatus for monitoring the acid-initiated protein unfolding process. The molecular details in protein structure unfolding are further profiled by a 193 nm ultraviolet photodissociation (UVPD) analysis of the structure-informative photofragments. Compared with the wild-type dihydrofolate reductase (WT-DHFR), the M42T/H114R mutant (MT-DHFR) exhibits a significant stability decrease in TR-nMS characterization. UVPD comparisons of the unfolding intermediates and original DHFR forms indicate the special stabilization effect of cofactor NADPH on DHFR structure, and the M42T/H114R mutations lead to a significant decrease in NADPH-DHFR interactions, thus promoting the structure unfolding. Our study paves the way for probing the mutation-induced subtle changes in the stability and structure dynamics of drug targets.

Structural Mass Spectrometry Probes the Inhibitor-Induced Allosteric Activation of CDK12/CDK13-Cyclin K Dissociation.

The rational design and development of effective inhibitors for cyclin-dependent kinases 12 and 13 (CDK12 and CDK13) are largely dependent on the understanding of the dynamic inhibition conformations but are difficult to be achieved by conventional characterization tools. Herein, we integrate the structural mass spectrometry (MS) methods of lysine reactivity profiling (LRP) and native MS (nMS) to systematically interrogate both the dynamic molecular interactions and overall protein assembly of CDK12/CDK13-cyclin K (CycK) complexes under the modulation of small molecule inhibitors. The essential structure insights, including inhibitor binding pocket, binding strength, interfacial molecular details, and dynamic conformation changes, can be derived from the complementary results of LRP and nMS. We find the inhibitor SR-4835 binding can greatly destabilize the CDK12/CDK13-CycK interactions in an unusual allosteric activation way, thereby providing a novel alternative for the kinase activity inhibition. Our results underscore the great potential of LRP combination with nMS for the evaluation and rational design of effective kinase inhibitors at the molecular level.

Development and Validation of a Combined MRI Radiomics, Imaging and Clinical Parameter-Based Machine Learning Model for Identifying Idiopathic Central Precocious Puberty in Girls.

BACKGROUND: Idiopathic central precocious puberty (ICPP) impairs child development, without early intervention. The current reference standard, the gonadotropin-releasing hormone stimulation test, is invasive which may hinder diagnosis and intervention. PURPOSE: To develop a model for accurate diagnosis of ICPP, by integrating pituitary MRI, carpal bone age, gonadal ultrasound, and basic clinical data. STUDY TYPE: Retrospective. POPULATION: A total of 492 girls with PP (185 with ICPP and 307 peripheral precocious puberty [PPP]) were randomly divided by reference standard into training (75%) and internal validation (25%) data. Fifty-one subjects (16 with ICPP, 35 with PPP) provided by another hospital as external validation. FIELD STRENGTH/SEQUENCE: T1-weighted (spin echo [SE], fast SE, cube) and T2-weighted (fast SE-fat suppression) imaging at 3.0 T or 1.5 T. ASSESSMENT: Radiomics features were extracted from pituitary MRI after manual segmentation. Carpal bone age, ovarian, follicle and uterine volumes and endometrium presence were assessed from radiographs and gonadal ultrasound. Four machine learning methods were developed: a pituitary MRI radiomics model, an integrated image model (with pituitary MRI, gonadal ultrasound and bone age), a basic clinical model (with age and sex hormone data), and an integrated multimodal model combining all features. STATISTICAL TESTS: Intraclass correlation coefficients were used to assess consistency of segmentation. Receiver operating characteristic (ROC) curves and the Delong tests were used to assess and compare the diagnostic performance of models. P < 0.05 was considered statistically significant. RESULTS: The area under of the ROC curve (AUC) of the pituitary MRI radiomics model, integrated image model, basic clinical model, and integrated multimodal model in the training data was 0.668, 0.809, 0.792, and 0.860. The integrated multimodal model had higher diagnostic efficacy (AUC of 0.862 and 0.866 for internal and external validation). CONCLUSION: The integrated multimodal model may have potential as an alternative clinical approach to diagnose ICPP. EVIDENCE LEVEL: 3. TECHNICAL EFFICACY: Stage 2.

Microstructural Alterations in Projection and Association Fibers in Neonatal Hypoxia-Ischemia.

BACKGROUND: Diffusion MRI (dMRI) is known to be sensitive to hypoxic-ischemic encephalopathy (HIE). However, existing dMRI studies used simple diffusion tensor metrics and focused only on a few selected cerebral regions, which cannot provide a comprehensive picture of microstructural injury. PURPOSE: To systematically characterize the microstructural alterations in mild, moderate, and severe HIE neonates compared to healthy neonates with advanced dMRI using region of interest (ROI), tract, and fixel-based analyses. STUDY TYPE: Prospective. POPULATION: A total of 42 neonates (24 males and 18 females). FIELD STRENGTH/SEQUENCE: 3-T, diffusion-weighted echo-planar imaging. ASSESSMENT: Fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD), axial diffusivity (AD), fiber density (FD), fiber cross-section (FC), and fiber density and cross-section (FDC) were calculated in 40 ROIs and 6 tracts. Fixel-based analysis was performed to assess group differences in individual fiber components within a voxel (fixel). STATISTICAL TESTS: One-way analysis of covariance (ANCOVA) to compare dMRI metrics among severe/moderate/mild HIE and control groups and general linear model for fixel-wise group differences (age, sex, and body weight as covariates). Adjusted P value < 0.05 was considered statistically significant. RESULTS: For severe HIE, ROI-based analysis revealed widespread regions, including the deep nuclei and white matter with reduced FA, while in moderate injury, only FC was decreased around the posterior watershed zones. Tract-based analysis demonstrated significantly reduced FA, FD, and FC in the right inferior fronto-occipital fasciculus (IFOF), right inferior longitudinal fasciculus (ILF), and splenium of corpus callosum (SCC) in moderate HIE, and in right IFOF and left anterior thalamic radiation (ATR) in mild HIE. Correspondingly, we found altered fixels in the right middle-posterior IFOF and ILF, and in the central-to-right part of SCC in moderate HIE. DATA CONCLUSION: For severe HIE, extensive microstructural injury was identified. For moderate-mild HIE, association fiber injury in posterior watershed area with a rightward lateralization was found. EVIDENCE LEVEL: 1 TECHNICAL EFFICACY: Stage 3.

Detecting acute bilirubin encephalopathy in neonates based on multimodal MRI with deep learning.

BACKGROUND: Differentiating acute bilirubin encephalopathy (ABE) from non-ABE in neonates with hyperbilirubinemia (HB) from routine magnetic resonance imaging (MRI) is extremely challenging since both conditions demonstrate similar T1 hyperintensities. To this end, we investigated whether the integration of multimodal MRI from routine clinical scans with deep-learning approaches could improve diagnostic performance. METHODS: A total of 75 neonates with ABE and 75 neonates with HB (non-ABE) were included in the study. Each patient had three types of multimodal images taken, i.e., a T1-weighted image (T1WI), a T2-weighted image (T2WI), and an apparent diffusion coefficient (ADC) map. The three types of MRI contrasts and their combination were fed into two deep convolutional neural networks (CNNs), i.e., ResNet18 and DenseNet201. The performance of CNNs was compared with a traditional statistical method named logistic regression. RESULTS: We demonstrated that diagnostic methods with the multimodal data were better than any of the single-modal data. Both CNN models outperformed the logistic regression method. The best performance was achieved by DenseNet201 with the combination of three modalities of T1WI, T2WI, and ADC, with an accuracy of 0.929 ± 0.042 and an area under the curve (AUC) of 0.991 ± 0.007. CONCLUSIONS: Our study demonstrated that CNN models with multimodal MRI significantly improve the accuracy of diagnosing ABE. IMPACT: We proposed an efficient strategy of detecting ABE in neonates based on multimodal MRI with deep learning, which achieved an accuracy of 0.929 ± 0.042 and an AUC of 0.991 ± 0.007. We demonstrated the advantage of integrating multimodal MRI in detecting ABE in neonates with HB, using deep-learning models. Our strategy of diagnosing ABE using deep-learning techniques with multimodal MRI from routine clinical scans is potentially applicable to clinical practice.

Risk stratification of abdominal tumors in children with amide proton transfer imaging.

OBJECTIVES: To evaluate the potential of molecular amide proton transfer (APT) MRI for predicting the risk group of abdominal tumors in children, and compare it with quantitative T1 and T2 mapping. METHODS: This prospective study enrolled 133 untreated pediatric patients with suspected abdominal tumors from February 2019 to September 2020. APT-weighted (APTw) imaging and quantitative relaxation time mapping sequences were executed for each subject. The region of interest (ROI) was generated with automatic artifact detection and ROI-shrinking algorithms, within which the APTw, T1, and T2 indices were calculated and compared between different risk groups. The prediction performance of different imaging parameters was assessed with the receiver operating characteristics (ROC) analysis and Student's t-test. RESULTS: Fifty-seven patients were included in the final analysis, including 24 neuroblastomas (NB), 18 Wilms' tumors (WT), and 15 hepatoblastomas (HB). The APTw signal was significantly (p < .001) higher in patients with high-risk NB than those with low-risk NB, while the difference between patients with low-risk and high-risk WT (p = .69) or HB (p = .35) was not statistically significant. The associated areas under the curve (AUC) for APT to differentiate low-risk and high-risk NB, WT, and HB were 0.93, 0.58, and 0.71, respectively. The quantitative T1 and T2 values generated AUCs of 0.61-0.70 for the risk stratification of abdominal tumors. CONCLUSIONS: APT MRI is a potential imaging biomarker for stratifying the risk group of pediatric neuroblastoma in the abdomen preoperatively and provides added value to structural MRI. KEY POINTS: • Amide proton transfer (APT) imaging showed significantly (p < .001) higher values in pediatric patients with high-risk neuroblastoma than those with low-risk neuroblastoma, but did not demonstrate a significant difference in patients with Wilms' tumor (p = .69) or hepatoblastoma (p = .35). • The associated areas under the curve (AUC) for APT to differentiate low-risk and high-risk neuroblastoma, Wilms' tumor, and hepatoblastoma were 0.93, 0.58, and 0.71, respectively. • The quantitative T1 and T2 indices generated AUCs of 0.61-0.70 for dichotomizing the risk group of abdominal tumors.

Detecting neonatal acute bilirubin encephalopathy based on T1-weighted MRI images and learning-based approaches.

BACKGROUND: Neonatal hyperbilirubinemia is a common clinical condition that requires medical attention in newborns, which may develop into acute bilirubin encephalopathy with a significant risk of long-term neurological deficits. The current clinical challenge lies in the separation of acute bilirubin encephalopathy and non-acute bilirubin encephalopathy neonates both with hyperbilirubinemia condition since both of them demonstrated similar T1 hyperintensity and lead to difficulties in clinical diagnosis based on the conventional radiological reading. This study aims to investigate the utility of T1-weighted MRI images for differentiating acute bilirubin encephalopathy and non-acute bilirubin encephalopathy neonates with hyperbilirubinemia. METHODS: 3 diagnostic approaches, including a visual inspection, a semi-quantitative method based on normalized the T1-weighted intensities of the globus pallidus and subthalamic nuclei, and a deep learning method with ResNet18 framework were applied to classify 47 acute bilirubin encephalopathy neonates and 32 non-acute bilirubin encephalopathy neonates with hyperbilirubinemia based on T1-weighted images. Chi-squared test and t-test were used to test the significant difference of clinical features between the 2 groups. RESULTS: The visual inspection got a poor diagnostic accuracy of 53.58 ± 5.71% indicating the difficulty of the challenge in real clinical practice. However, the semi-quantitative approach and ResNet18 achieved a classification accuracy of 62.11 ± 8.03% and 72.15%, respectively, which outperformed visual inspection significantly. CONCLUSION: Our study indicates that it is not sufficient to only use T1-weighted MRI images to detect neonates with acute bilirubin encephalopathy. Other more MRI multimodal images combined with T1-weighted MRI images are expected to use to improve the accuracy in future work. However, this study demonstrates that the semi-quantitative measurement based on T1-weighted MRI images is a simple and compromised way to discriminate acute bilirubin encephalopathy and non-acute bilirubin encephalopathy neonates with hyperbilirubinemia, which may be helpful in improving the current manual diagnosis.

[Progress in Clinical Research of Amide Proton Transfer Imaging].

As a new type of magnetic resonance imaging method, amide proton transfer (APT) imaging can detect the chemical exchange characteristics of free proprotein, peptide amide proton and water proton by water signal changes, reflecting the changes of protein and pH in tissues. In recent years, clinical research on brain tumors, multiple sclerosis, hepatic encephalopathy and cervical cancer have been carried out. It is a radiation-free and non-invasive new magnetic resonance molecular imaging technology. This study briefly reviews the principle of APT technology and its clinical application, and prospects its application prospects in children's abdominal tumors.

Age-specific optimization of T1-weighted brain MRI throughout infancy.

The infant brain undergoes drastic morphological and functional development during the first year of life. Three-dimensional T1-weighted Magnetic Resonance Imaging (3D T1w-MRI) is a major tool to characterize the brain anatomy, which however, manifests inherently low and rapidly changing contrast between white matter (WM) and gray matter (GM) in the infant brains (0-12 month-old). Despite the prior efforts made to maximize tissue contrast in the neonatal brains (≤1 months), optimization of imaging methods in the rest of the infancy (1-12 months) is not fully addressed, while brains in the latter period exhibit even more challenging contrast. Here, we performed a systematic investigation to improve the contrast between cortical GM and subcortical WM throughout the infancy. We first performed simultaneous T1 and proton density mapping in a normally developing infant cohort at 3T (n = 57). Based on the evolution of T1 relaxation times, we defined three age groups and simulated the relative tissue contrast between WM and GM in each group. Age-specific imaging strategies were proposed according to the Bloch simulation: inversion time (TI) around 800 ms for the 0-3 month-old group, dual TI at 500 ms and 700 ms for the 3-7 month-old group, and TI around 700 ms for 7-12 month-old group, using a centrically encoded 3D-MPRAGE sequence at 3T. Experimental results with varying TIs in each group confirmed improved contrast at the proposed optimal TIs, even in 3-7 month-old infants who had nearly isointense contrast. We further demonstrated the advantage of improved relative contrast in segmenting the neonatal brains using a multi-atlas segmentation method. The proposed age-specific optimization strategies can be easily adapted to routine clinical examinations, and the improved image contrast would facilitate quantitative analysis of the infant brain development.

Improved chemical exchange saturation transfer imaging with real-time frequency drift correction.

PURPOSE: To investigate the effects of frequency drift on chemical exchange saturation transfer (CEST) imaging at 3T, and to propose a new sequence for correcting artifacts attributed to B0 drift in real time. THEORY AND METHODS: A frequency-stabilized CEST (FS-CEST) imaging sequence was proposed by adding a frequency stabilization module to the conventional non-frequency-stabilized CEST (NFS-CEST) sequence, which consisted of a small tip angle radiofrequency excitation pulse and readout of three non-phase-encoded k-space lines. Experiments were performed on an egg white phantom and 26 human subjects on a heavy-duty clinical scanner, in order to compare the difference of FS-CEST and NFS-CEST sequences for generating the z-spectrum, magnetization transfer ratio asymmetry (MTRasym ) spectrum, and amide proton transfer weighted (APTw) image. RESULTS: The B0 drift in CEST imaging, if not corrected, would cause APTw images and MTRasym spectra from both the phantom and volunteers to be either significantly higher or lower than the true values, depending on the status of the scanner. The FS-CEST sequence generated substantially more stable MTRasym spectra and APTw images than the conventional NFS-CEST sequence. Quantitatively, the compartmental-average APTw signals (mean ± standard deviation) from frontal white matter regions of all 26 human subjects were -0.32% ± 2.32% for the NFS-CEST sequence and -0.14% ± 0.37% for the FS-CEST sequence. CONCLUSIONS: The proposed FS-CEST sequence provides an effective approach for B0 drift correction without additional scan time and should be adopted on heavy-duty MRI scanners.

Feasibility of balanced steady-state free precession sequence at 1.5T for the evaluation of hepatic steatosis in obese children and adolescents.

OBJECTIVES: To determine the feasibility of balanced steady-state free precession (b-SSFP) imaging for measuring hepatic steatosis in obese children and adolescents, using proton magnetic resonance spectroscopy (1H MRS) as reference standard. METHODS: 182 obese Chinese paediatric patients underwent conventional T1-weighted dual echo MRI, 1H MRS and b-SSFP imaging for non-invasive assessment of hepatic steatosis. RESULTS: There was a strong positive correlation between liver fat fraction (FF) on T1-weighted dual echo MRI and 1H MRS-determined liver fat content (LFC) (r = 0.964, p < .001), and a strong negative correlation between the ratio of liver signal intensity (SI) to spleen SI (L/S) on b-SSFP and LFC (r = -0.896, p < .001). ROC curve analysis based on a diagnostic threshold of 1H MRS-determined LFC >50 mg/g (>5 % by wet weight) showed areas under the curves for FF and L/S at 0.989 (0.976-1.000) and 0.926 (0.888-0.964), respectively. Optimal FF and L/S cut-off values identified patients with hepatic steatosis with 97.9 % and 86.5 % sensitivity and 93.4 % and 93.4 % specificity, respectively. CONCLUSIONS: Following further validation, b-SSFP at 1.5T has potential as a feasible technique for evaluation of hepatic steatosis in obese paediatric patients with limited breath-holding capacity. KEY POINTS: • L/S on b-SSFP images closely correlated with 1 H MRS-determined LFC. • b-SSFP has high diagnostic accuracy for hepatic steatosis in obese children. • 100% of obese paediatric subjects are imaged successfully using b-SSFP sequence. • b-SSFP has potential to evaluate hepatic steatosis in children with poor breath-hold.

Evolution of intramural duodenal hematomas on magnetic resonance imaging.

BACKGROUND: The magnetic resonance imaging (MRI) characteristics of evolving duodenal hematomas in children are unknown. OBJECTIVE: To describe the MRI changes exhibited by evolving duodenal hematomas and the likely mechanisms behind these changes. MATERIALS AND METHODS: We retrospectively reviewed the MR features of intramural duodenal hematomas (6 lesions, 10 examinations) studied on a 1.5-T MR unit. All patients had clinical histories of blunt abdominal trauma or endoscopic procedures and we were able to determine the time interval between the onset and MR imaging. We evaluated and analyzed the appearance and signal intensity patterns of hematomas of varying ages and we compared the results with those in previously reported intracranial hematomas. RESULTS: The imaging appearances on five examinations were consistent with presence of deoxyhemoglobin. Two of these lesions were hypointense on T2-weighted images and iso- to hyperintense on T1-weighted images. Three had heterogeneous appearances on both T1- and T2-weighted images, and the bulk of the hematoma progressively increased in size and signal intensity on T2-weighted images. On the remaining five examinations, one lesion was hyperintense on T1-weighted images and iso- to hyperintense on T2-weighted images, consistent with intracellular methemoglobin, and four lesions were hyperintense on both T1- and T2-weighted images, consistent with the presence of extracellular methemoglobin. Duodenal hematoma stages were slower than those of intracranial hematomas; the acute stage spanned 2-7 days, and early and late subacute stages occurred 10-17 days after the injury. CONCLUSION: Duodenal hematomas evolve like intracranial hematomas, but slower. Signal heterogeneity is common in the acute stage.

MR Lymphangiography for Focal Disruption of the Thoracic Duct in Chylothorax of an Infant: a Case Report and Literature Review.

Chylothorax is a rare cause of pleural effusion in children, and it is usually difficult to identify the location of chyle leakage due to the small size of the thoracic duct in children. Herein we report an infant case with chylothorax whose leakage of the thoracic duct was successfully located by magnetic resonance lymphangiography (MRL) using pre-contrast MR cholangiopancreatography (MRCP) and gadodiamide-enhanced spectral presaturation inversion recovery (SPIR) T1-weighted imaging, which demonstrate the imaging method is easy and effective for detecting the focal disruption of the thoracic duct in children with chylothorax and younger than 8 months old.

Quantitative relationship between liver fat content and metabolic syndrome in obese children and adolescents.

OBJECTIVE: Previous studies have shown a significant association between quantified liver fat content (LFC) and metabolic syndrome (MetS) in adults, but the nature of this association in obese paediatric populations is unclear. The aim of this study was to investigate the quantitative relationship of LFC to MetS and its individual components in obese children and adolescents. DESIGN: A population-based cross-sectional study. PATIENTS AND MEASUREMENTS: One hundred and eighty-nine Chinese obese paediatric subjects aged 5-16 years were enrolled. Measurements included MetS components, as defined by the Chinese-specific version of the International Diabetes Foundation MetS criteria (MetS-CHN2012), and LFC using proton magnetic resonance spectroscopy. RESULTS: LFC was significantly higher in subjects with MetS [median 9.7% (interquartile range 4.5-19.9%)] than without MetS [5.7% (2.0-12.8%)] (P < 0.01). LFC was also positively associated with the total number of MetS components (P for trend <0.01). In analyses adjusted for traditional risk factors, increasing levels of LFC were associated with a greater risk of MetS, hypertriglyceridaemia and low high-density lipoprotein cholesterol (P < 0.05 for all associations), but were not associated with risk of hyperglycaemia or hypertension. CONCLUSIONS: In obese Chinese paediatric patients, quantitative measures of LFC are positively associated with the risk of MetS, hypertriglyceridaemia and low high-density lipoprotein cholesterol, independent of traditional risk factors. These findings suggest that quantitatively measured LFC may be a clinically useful marker for identifying obese paediatric who are at increased risk of developing MetS and its components.

Quantitative evaluation of the axonal degeneration of central motor neurons in chronic cerebral stroke with diffusion tensor imaging.

BACKGROUND: Conventional magnetic resonance imaging (MRI) can only show the degeneration-induced morphological changes but fail to quantitatively reveal the degree and extent of the axonal damage of nerve fibers. Diffusion tensor imaging (DTI) has the ability to detect the diffusion of water molecules and thus suitable to the study of axonal degeneration of central motor neurons. PURPOSE: To illustrate and quantitatively evaluate the axonal degeneration of central motor neurons in patients with chronic cerebral stroke. MATERIAL AND METHODS: DTI and conventional MRI were carried out with 10 normal control subjects and 25 patients who suffered from chronic cerebral stroke in the region supplied by middle cerebral artery and had varying degrees of limb movement disorders (the mean time of onset was 2.5 months), to measure the fractional anisotropy (FA), volume ratio (VR), apparent diffusion coefficient (ADC), tensor eigenvalues (λ1, λ2, and λ3), and signal intensity (SI) on T2-weighted images, of the central motor fibers (pyramidal tract) in the plane of cerebral peduncle. Results from the ipsilateral side were compared with those from the contralateral side in the same patient and with those from normal control. RESULTS: The axonal degeneration of central motor neurons manifests in DTI as the decline of FA of the pyramidal tract and the reduction and distortion of the high signal area. While all the FA, VR, ADC, and λ1 in the ipsilateral side reduce on DTI, λ3 increases; the T2-weighted signals exhibit no significant differences among groups. CONCLUSION: The changes and diffusions of water molecule associated with the axonal degeneration of central motor neurons after chronic cerebral stroke can be detected by DTI, which can directly quantitatively reflect the degree and extent of axonal degeneration of central motor neurons and can compensate the shortcomings of conventional MRI and diffusion-weighted imaging (DWI).

Eosinophilic gastroenteritis with involvement of the urinary bladder.

Eosinophilic gastroenteritis with eosinophilic infiltration of the urinary bladder wall is rare in children. We describe the CT findings of eosinophilic gastroenteritis accompanied by bladder involvement in an 11-year-old boy. CT imaging showed diffuse wall thickening of the entire gastrointestinal tract from the esophagus to the colon and revealed a halo sign, irregular fold thickening and luminal narrowing without obstruction of the gastrointestinal wall. Another CT finding was the diffuse thickening of the bladder wall with moderate enhancement on postcontrast CT. The boy underwent endoscopic biopsy from various sites of the gut wall and histology revealed increased eosinophiliac infiltration in the mucosa. After corticosteroid therapy, the boy recovered gradually. The case emphasizes that not only the gastrointestinal tract but also the urinary bladder may be involved in children with eosinophilic gastroenteritis and that recognition of CT features of this disease aids in early diagnosis and therapy.

[Diagnostic value of ultrasonographic examination for hepatic steatosis in obese children].

OBJECTIVE: To evaluate the sensitivity and specificity of hepatic ultrasonography (US) for the diagnosis of hepatic steatosis in obese children, using ¹H magnetic resonance spectroscopy (¹H MRS) as the reference standard. METHODS: A total of 162 obese children with age of 10.5 ± 2.2 years and BMI of 28 ± 4 were enrolled in this study. They accepted hepatic US and (1)H MRS examinations. The sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of US were calculated for the overall presence of hepatic steatosis by comparison with ¹H MRS results. RESULTS: Using quantitative criteria of liver fat content (LFC) >5% determined by (1)H MRS, 95 children(58.6%)were diagnosed as having hepatic steatosis. The sensitivity and specificity of US in diagnosing steatosis were 91.6% (87/95) and 50.7% (34/67) respectively, with PPV of 72.5% (87/120), and NPV of 81.0% (34/42). Considerable overlap in LFC measured by ¹H MRS was observed between different grades from US findings: absent (LFC interquartile range: 1.3%-3.9%), mild (2.4%-10.7%), moderate (7.1%-20.2%) and severe (7.6%-28.8%) steatosis. CONCLUSIONS: The US can yield a high sensitivity and low specificity in the diagnosis of hepatic steatosis in obese children, suggesting it can be used as a screening tool for hepatic steatosis. To improve diagnostics, ¹H MRS is needed to determine LFC.

Aqueous alkaline phosphate facilitates the non-exchangeable deuteration of peptides and proteins.

The incorporation of deuterium into peptides and proteins holds broad applications across various fields, such as drug development and structural characterization. Nevertheless, current methods for peptide/protein deuteration often target exchangeable labile sites or require harsh conditions for stable modification. In this study, we present a late-stage approach utilizing an alkaline phosphate solution to achieve deuteration of non-exchangeable backbone sites of peptides and proteins. The specific deuteration regions are identified through ultraviolet photodissociation (UVPD) and mass spectrometry analysis. This deuteration strategy demonstrates site and structure selectivity, with a notable affinity for labeling the α-helix regions of myoglobin. The deuterium method is particularly suitable for peptides and proteins that remain stable under high pH conditions.

Probing the functional hotspots inside protein hydrophobic pockets by in situ photochemical trifluoromethylation and mass spectrometry.

Due to the complex high-order structures and interactions of proteins within an aqueous solution, a majority of chemical functionalizations happen on the hydrophilic sites of protein external surfaces which are naturally exposed to the solution. However, the hydrophobic pockets inside proteins are crucial for ligand binding and function as catalytic centers and transporting tunnels. Herein, we describe a reagent pre-organization and in situ photochemical trifluoromethylation strategy to profile the functional sites inside the hydrophobic pockets of native proteins. Unbiased mass spectrometry profiling was applied for the characterization of trifluoromethylated sites with high sensitivity. Native proteins including myoglobin, trypsin, haloalkane dehalogenase, and human serum albumin have been engaged in this mild photochemical process and substantial hydrophobic site-specific and structure-selective trifluoromethylation substitutes are obtained without significant interference to their bioactivity and structures. Sodium triflinate is the only reagent required to functionalize the unprotected proteins with wide pH-range tolerance and high biocompatibility. This "in-pocket" activation model provides a general strategy to modify the potential binding pockets and gain essential structural insights into the functional hotspots inside protein hydrophobic pockets.