Variation of Site-Specific Glycosylation Profiles of Recombinant Influenza Glycoproteins.

This work presents a detailed determination of site-specific N-glycan distributions of the recombinant influenza glycoproteins hemagglutinin and neuraminidase. Variation in glycosylation among recombinant glycoproteins is not predictable and can depend on details of the biomanufacturing process as well as details of protein structure. In this study, recombinant influenza proteins were analyzed from eight strains of four different suppliers. These include five hemagglutinin and three neuraminidase proteins, each produced from a HEK293 cell line. Digestion was conducted using a series of complex multi-enzymatic methods designed to isolate glycopeptides containing single N-glycosylated sites. Site-specific glycosylation profiles of intact glycopeptides were produced using a recently developed method and comparisons were made using spectral similarity scores. Variation in glycan abundances and distribution was most pronounced between different strains of virus (similarity score = 383 out of 999), whereas digestion replicates and injection replicates showed relatively little variation (similarity score = 957). Notably, glycan distributions for homologous regions of influenza glycoprotein variants showed low variability. Due to the multiple possible sources of variation and inherent analytical difficulties in site-specific glycan determinations, variations were individually examined for multiple factors, including differences in supplier, production batch, protease digestion and replicate measurement. After comparing all glycosylation distributions, four distinguishable classes could be identified for the majority of sites. Finally, attempts to identify glycosylation distributions on adjacent potential N-glycosylated sites of one HA variant were made. Only the second site (NnST) was found to be occupied using two rarely used proteases in proteomics, subtilisin and esperase, both of which did selectively cleave these adjacent sites.

Improved Sample Preparation Method for Protein and Peptide Identification from Human Hair.

A fast and sensitive direct extraction (DE) method developed in our group can efficiently extract proteins in 30 min from a 5 cm-long hair strand. Previously, we coupled DE to downstream analysis using gel electrophoresis followed by in-gel digestion, which can be time-consuming. In searching for a better alternative, we found that a combination of DE with a bead-based method (SP3) can lead to significant improvements in protein discovery in human hair. Since SP3 is designed for general applications, we optimized it to process hair proteins following DE and compared it to several other in-solution digestion methods. Of particular concern are genetically variant peptides (GVPs), which can be used for human identification in forensic analysis. Here, we demonstrated improved GVP discovery with the DE and SP3 workflow, which was 3 times faster than the previous in-gel digestion method and required significantly less instrument time depending on the number of gel slices processed. Additionally, it led to an increased number of identified proteins and GVPs. Among the tested in-solution digestion methods, DE combined with SP3 showed the highest sequence coverage, with higher abundances of the identified peptides. This provides a significantly enhanced means for identifying proteins and GVPs in human hair.

An XIC-Centric Strategy for Improved Identification and Quantification in Proteomic Data Analyses.

Reproducibility is a "proteomic dream" yet to be fully realized. A typical data analysis workflow utilizing extracted ion chromatograms (XICs) often treats the information path from identification to quantification as a one-way street. Here, we propose an XIC-centric approach in which the data flow is bidirectional: identifications are used to derive XICs whose information is in turn applied to validate the identifications. In this study, we employed liquid chromatography-mass spectrometry data from glycoprotein and human hair samples to illustrate the XIC-centric concept. At the core of this approach was XIC-based monoisotope repicking. Taking advantage of the intensity information for all detected isotopes across the whole range of an XIC peak significantly improved the accuracy and uncovered misidentifications originating from monoisotope assignment mistakes. It could also rescue non-top-ranked glycopeptide hits. Identification of glycopeptides is particularly susceptible to precursor mass errors for their low abundances, large masses, and glycans differing by 1 or 2 Da easily confused as isotopes. In addition, the XIC-centric strategy significantly reduced the problem of one XIC peak associated with multiple unique identifications, a source of quantitative irreproducibility. Taken together, the proposed approach can lead to improved identification and quantification accuracy and, ultimately, enhanced reproducibility in proteomic data analyses.

Comparison of N-Glycopeptide to Released N-Glycan Abundances and the Influence of Glycopeptide Mass and Charge States on N-Linked Glycosylation of IgG Antibodies.

We report the comparison of mass-spectral-based abundances of tryptic glycopeptides to fluorescence abundances of released labeled glycans and the effects of mass and charge state and in-source fragmentation on glycopeptide abundances. The primary glycoforms derived from Rituximab, NISTmAb, Evolocumab, and Infliximab were high-mannose and biantennary complex galactosylated and fucosylated N-glycans. Except for Evolocumab, in-source ions derived from the loss of HexNAc or HexNAc-Hex sugars are prominent for other therapeutic IgGs. After excluding in-source fragmentation of glycopeptide ions from the results, a linear correlation was observed between fluorescently labeled N-glycan and glycopeptide abundances over a dynamic range of 500. Different charge states of human IgG-derived glycopeptides containing a wider variety of abundant attached glycans were also investigated to examine the effects of the charge state on ion abundances. These revealed a linear dependence of glycopeptide abundance on the mass of the glycan with higher charge states favoring higher-mass glycans. Findings indicate that the mass spectrometry-based bottom-up approach can provide results as accurate as those of glycan release studies while revealing the origin of each attached glycan. These site-specific relative abundances are conveniently displayed and compared using previously described glycopeptide abundance distribution spectra "GADS" representations. Mass spectrometry data are available from the MAssIVE repository (MSV000093562).

Determining Site-Specific Glycan Profiles of Recombinant SARS-CoV-2 Spike Proteins from Multiple Sources.

Glycopeptide Abundance Distribution Spectra (GADS) were recently introduced as a means of representing, storing, and comparing glycan profiles of intact glycopeptides. Here, using that representation, an extensive analysis is made of multiple commercial sources of the recombinant SARS-CoV-2 spike protein, each containing 22 N-linked glycan sites (sequons). Multiple proteases are used along with variable energy fragmentation followed by ion trap confirmation. This enables a detailed examination of the reproducibility of the method across multiple types of variability. These results show that GADS are consistent between replicates and laboratories for sufficiently abundant glycopeptides. Derived GADS enable the examination and comparison of the glycan profiles between commercial sources of the spike protein. Multiple distinct glycopeptide distributions, generated by multiple proteases, confirm these profiles. Comparisons of GADS derived from 11 sources of recombinant spike protein reveal that sources for which protein expression methods were the same produced near-identical glycan profiles, thereby demonstrating the ability of this method to measure GADS of sufficient reliability to distinguish different glycoform distributions between commercial vendors and potentially to reliably determine and compare differences in glycosylation for any glycoprotein under different conditions of production. All mass spectrometry data files have been deposited in the MassIVE repository under the identifier MSV000091776.

Mass Spectral Library Methods for Analysis of Site-Specific N-Glycosylation: Application to Human Milk Proteins.

We present a mass spectral library-based method for analyzing site-specific N-linked protein glycosylation. Its operation and utility are illustrated by applying it to both newly measured and available proteomics data of human milk glycoproteins. It generates two varieties of mass spectral libraries. One contains glycopeptide abundance distribution spectra (GADS). The other contains tandem mass spectra of the underlying glycopeptides. Both originate from identified glycopeptides in proteolytic digests of human milk and purified glycoproteins, which include tenascin, lactoferrin, and several antibodies. Analysis was also applied to digests of a NIST human milk standard reference material (SRM), leading to a GADS library of N-glycopeptides, enabling the direct comparison of glycopeptide distributions for individual proteins. Tandem spectra underlying each glycopeptide GADS peak are combined to create a second type of library that contains spectra of the underlying glycopeptide spectra. These were acquired by higher-energy (stepped) collision dissociation fragmentation followed by ion-trap fragmentation. Spectra are annotated using MS_Piano, recently reported annotation software. This data, with extensions of a widely used spectral library search and display software, provides accessible mass spectral libraries.

Representing and Comparing Site-Specific Glycan Abundance Distributions of Glycoproteins.

A method for representing and comparing distributions of N-linked glycans located at specific sites on proteins is presented. The representation takes the form of a simple mass spectrum for a given peptide sequence, with each peak corresponding to a different glycopeptide. The mass (in place of m/z) of each peak is that of the glycan mass, and its abundance corresponds to its relative abundance in the electrospray MS1 spectrum. This provides a facile means of representing all identifiable glycopeptides arising from a single protein "sequon" on a specific sequence, thereby enabling the comparison and searching of these distributions as routinely done for mass spectra. Likewise, these reference glycopeptide abundance distribution spectra (GADS) can be stored in searchable libraries. A set of such libraries created from available data is provided along with an adapted version of the widely used NIST-MS library-search software. Since GADS contain only MS1 abundances and identifications, they are equally suitable for expressing collision-induced fragmentation and electron-transfer dissociation determinations of glycopeptide identity. Comparisons of GADS for N-glycosylated sites on several proteins, especially the SARS-CoV-2 spike protein, demonstrate the potential reproducibility of GADS and their utility for comparing site-specific distributions.

MS_Piano: A Software Tool for Annotating Peaks in CID Tandem Mass Spectra of Peptides and N-Glycopeptides.

Annotating product ion peaks in tandem mass spectra is essential for evaluating spectral quality and validating peptide identification. This task is more complex for glycopeptides and is crucial for the confident determination of glycosylation sites in glycoproteins. MS_Piano (Mass Spectrum Peptide Annotation) software was developed for reliable annotation of peaks in collision induced dissociation (CID) tandem mass spectra of peptides or N-glycopeptides for given peptide sequences, charge states, and optional modifications. The program annotates each peak in high or low resolution spectra with possible product ion(s) and the mass difference between the measured and theoretical m/z values. Spectral quality is measured by two major parameters: the ratio between the sum of unannotated vs all peak intensities in the top 20 peaks, and the intensity of the highest unannotated peak. The product ions of peptides, glycans, and glycopeptides in spectra are labeled in different class-type colors to facilitate interpretation. MS_Piano assists validating peptide and N-glycopeptide identification from database and library searches and provides quality control and optimizes search reliability in custom developed peptide mass spectral libraries. The software is freely available in .exe and .dll formats for the Windows operating system.

Parental styles and attitudes of fathers of children and adolescents with intellectual disability: Do parental styles and attitudes impact children's adaptive behaviour?

BACKGROUND: There is little literature that has explored the paternal role among children with intellectual disabilities. The aim of the study is to characterise parental attitudes and styles of fathers of children with intellectual disabilities, and to analyse their relation to the children's adaptive behaviour. METHOD: Eighty-three families (fathers and mothers) answered self-report questionnaires, which assessed parenting styles and attitudes, as well as an adaptive behaviour questionnaire about their children with intellectual disabilities between 4 and 18 years of age. RESULTS: Both parents have a tendency towards an authoritative style of parenting. Fathers (versus mothers) perceive greater parental support but are less involved in their children's lives. Among fathers, the authoritative style was a significant contributor to the child's adaptive behaviour, above and beyond the mother's contribution. CONCLUSIONS: Studies about parenting should include both mothers and fathers, as paternal parenting styles and attitudes are related to children's adaptive behaviour.

Examining the relation between empowerment and civic engagement among parents of individuals with intellectual and developmental disabilities.

Internationally, parents of children with intellectual and developmental disabilities have historically engaged in advocacy leading to compulsory education for their children. However, few parents have reported civic engagement. Although empowerment is related to parent advocacy, it is unclear whether empowerment relates to civic engagement. Thus, our study examined parent and child correlates of empowerment and civic engagement, and the relation between empowerment and civic engagement among 235 parents of children with intellectual and developmental disabilities across five states in the United States. Gender and special education knowledge were significant correlates of empowerment and civic engagement. There was a significant positive correlation between empowerment and civic engagement. Implications regarding future research and ways to promote parent empowerment and civic engagement are discussed.

A phase 1 study of the antibody-drug conjugate brentuximab vedotin with re-induction chemotherapy in patients with CD30-expressing relapsed/refractory acute myeloid leukemia.

BACKGROUND: Outcomes for patients with relapsed/refractory acute myeloid leukemia (R/R AML) remain poor. Novel therapies specifically targeting AML are of high interest. Brentuximab vedotin (BV) is an antibody-drug conjugate that is specific for human CD30. In this phase 1 dose escalation study, the authors evaluated the safety of BV combined with mitoxantrone, etoposide, and cytarabine (MEC) re-induction chemotherapy for patients with CD30-expressing R/R AML. METHODS: Using a standard dose escalation design, the authors evaluated 3 dose levels of BV (0.9 mg/kg, 1.2 mg/kg, and 1.8 mg/kg) administered once on day 1 followed by MEC on days 3 through 7. RESULTS: There were no dose-limiting toxicities noted and the maximum tolerated dose was not reached. The recommended phase 2 dose of BV was determined to be 1.8 mg/kg when combined with MEC. The side effect profile was similar to that expected from MEC chemotherapy alone, with the most common grade ≥3 toxicities being febrile neutropenia, thrombocytopenia, and anemia (toxicities were graded using the National Cancer Institute Common Terminology Criteria for Adverse Events [version 4.0]). Among the 22 patients enrolled on the trial, the composite response rate was 36%, with a composite response rate of 42% noted among those who received the highest dose of BV. The median overall survival was 9.5 months, with a median disease-free survival of 6.8 months observed among responders. Approximately 55% of patients were able to proceed with either allogeneic hematopoietic stem cell transplantation or donor lymphocyte infusion. CONCLUSIONS: The combination of BV with MEC was found to be safe in patients with CD30-expressing R/R AML and warrants further study comparing this combination with the use of MEC alone in this population (ClinicalTrials.gov identifier NCT01830777). LAY SUMMARY: The outcomes for patients with relapsed/refractory acute myeloid leukemia (R/R AML) are exceptionally poor. New and emerging treatment combinations are actively being studied in an effort to improve outcomes. The authors examined the combination of brentuximab vedotin, an antibody product that recognizes a marker called CD30, with mitoxantrone, etoposide, and cytarabine (MEC), a common chemotherapy regimen, in patients with R/R AML that expressed the CD30 marker. The authors found that the combination was safe and well tolerated. Future studies comparing this new combination with the use of MEC alone can help to inform its effectiveness for this patient population.

Compound sibling caregivers of individuals with intellectual and developmental disabilities.

BACKGROUND: Given the increasing lifespans of individuals with intellectual and developmental disabilities (IDD), siblings may fulfil multiple caregiving roles simultaneously for their ageing parents, their offspring, and their brother or sister with IDD. Yet, little is known about compound sibling caregivers. The purpose of this study was to compare the perspectives of compound, single and non-caregiving siblings of adults with IDD. METHOD: This study investigated 332 adult siblings of individuals with IDD in the United States via a national web-based survey. Participants included: 152 non-caregivers, 94 single caregivers (i.e., caregivers only for their brothers and sisters with IDD), and 86 compound caregivers (i.e., caregivers for their brothers and sisters with IDD and at least one other vulnerable individual). RESULTS: Single and compound sibling caregivers (versus non-caregivers) had more positive relationships and conducted greater advocacy and future planning activities. CONCLUSIONS: Given the potential for compound sibling caregiving, further investigation is warranted.

Exploring the nature and correlates of caregiving among parents of adults with intellectual and developmental disabilities.

BACKGROUND: As adults with intellectual and developmental disabilities (IDD) have longer lives, parents may remain caregivers into old age. In addition, it is unknown who will fulfil caregiving roles after parents are no longer able to be caregivers. In the current study, we explored the nature (e.g. number of hours of caregiving) and correlates of parental caregiving for their adult offspring with intellectual and developmental disabilities and their future caregiving plans. METHOD: In the United States, data were collected from 334 parents of adults with intellectual and developmental disabilities via a national survey. RESULTS: Altogether, 55% of the sample spent more than 15 hr conducting caregiving per week. Individual characteristics (e.g. maladaptive behaviour and functional abilities) and parent characteristics (e.g. physical proximity of the adult with intellectual and developmental disabilities and caregiving ability) positively correlated with caregiving hours. Notably, 38.58% of participants were unsure who would fulfil caregiving roles. CONCLUSION: Implications for research about caregiving and practice are discussed.

False Discovery Rate Estimation for Hybrid Mass Spectral Library Search Identifications in Bottom-up Proteomics.

We present a method for FDR estimation of mass spectral library search identifications made by a recently developed method for peptide identification, the hybrid search, based on an extension of the target-decoy approach. In addition to estimating confidence for a given identification, this allows users to compare and integrate identifications from the hybrid mass spectral library search method with other peptide identification methods, such as a sequence database-based method. In addition to a score, each hybrid score is associated with a "DeltaMass" value, which is the difference in mass of the search and library peptide, which can correspond to the mass of a modification. We explored the relation between FDR and DeltaMass using 100 concatenated random decoy libraries and discovered that a small number of DeltaMass values were especially likely to result from decoy searches. Using these values, FDR values could be adjusted for these specific values and a reliable FDR generated for any DeltaMass value. Finally, using this method, we find and examine common, reliable identifications made by the hybrid search for a range of proteomic studies.

Isocitrate dehydrogenase 1 and 2 mutations, 2-hydroxyglutarate levels, and response to standard chemotherapy for patients with newly diagnosed acute myeloid leukemia.

BACKGROUND: Acute myeloid leukemia (AML) cells harboring mutations in isocitrate dehydrogenase 1 (IDH1) and isocitrate dehydrogenase 2 (IDH2) produce the oncometabolite 2-hydroxyglutarate (2HG). This study prospectively evaluated the 2HG levels, IDH1/2 mutational status, and outcomes of patients receiving standard chemotherapy for newly diagnosed AML. METHODS: Serial samples of serum, urine, and bone marrow aspirates were collected from patients newly diagnosed with AML, and 2HG levels were measured with mass spectrometry. Patients with baseline serum 2HG levels greater than 1000 ng/mL or marrow pellet 2HG levels greater than 1000 ng/2 × 106 cells, which suggested the presence of an IDH1/2 mutation, underwent serial testing. IDH1/2 mutations and estimated variant allele frequencies were identified. AML characteristics were compared with the Wilcoxon test and Fisher's exact test. Disease-free survival and overall survival (OS) were evaluated with log-rank tests and Cox regression. RESULTS: Two hundred and two patients were treated for AML; 51 harbored IDH1/2 mutations. IDH1/2-mutated patients had significantly higher 2HG levels in serum, urine, bone marrow aspirates, and aspirate cell pellets than wild-type patients. A serum 2HG level greater than 534.5 ng/mL was 98.8% specific for the presence of an IDH1/2 mutation. Patients with IDH1/2-mutated AML treated with 7+3-based induction had a 2-year event-free survival (EFS) rate of 44% and a 2-year OS rate of 57%. There was no difference in complete remission rates, EFS, or OS between IDH1/2-mutated and wild-type patients. Decreased serum 2HG levels on day 14 as a proportion of the baseline were significantly associated with improvements in EFS (P = .047) and OS (P = .019) in a multivariate analysis. CONCLUSIONS: Among patients with IDH1/2-mutated AML, 2HG levels are highly specific for the mutational status at diagnosis, and they have prognostic relevance in patients receiving standard chemotherapy.

Maini's many contributions to mathematical enzyme kinetics: A review.

Modelling enzyme kinetics has a long history, as one of the earliest areas where mathematics was utilized to understand biological (in this case, biochemical) phenomena. By using differential equations and the law of mass action, many researchers have discovered information about the mechanisms of enzyme workings in the more than 100 years since Leonor Michaelis and Maud Menten published their classic paper in 1913. This work uses he laws obeyed by molecules during a reaction, translates them into mathematical equations, and then compares the results predicted by the equations to data obtained in laboratory conditions. This can inform whether the mechanism used to create the mathematical model is consistent with experimental results. Philip K. Maini has contributed to several significant results in the field of mathematical modelling in enzyme kinetics. Along with his collaborators, he has published results analyzing and extending the Quasi-Steady State Assumption, applying it to special enzyme reactions, and considering special conditions. This review paper will provide an overview of the contributions made by PK Maini to the field of modelling enzyme kinetics, summarize the main results and discuss their significance.

Siblings of adults with intellectual and developmental disabilities: Their knowledge and perspectives on guardianship and its alternatives.

BACKGROUND: Siblings of adults with intellectual and developmental disabilities (IDD) often support their brothers and sisters through caregiving and guardianship. METHODS: In this qualitative study, the knowledge and views of 10 adult siblings were explored. RESULTS & CONCLUSIONS: The tripartite impact of limited knowledge of guardianship and alternatives, the viewpoint of full guardianship as necessary and the desired/anticipated roles of siblings combined to create the Sibling Reciprocal Effect (SRE). The present authors define SRE as the phenomenon of siblings to recognize the applicability of complementary forms of guardianship for other adults with IDD, but fail to see the advantage of available decision-making alternatives with their own brothers/sisters. Instead, siblings defer to full guardianship as the preferred mechanism for decision making. Implications for practitioners include informing families of the full range of options for supporting persons with IDD in decision making. Future research suggestions include examining the elements of the SRE and siblings' knowledge regarding guardianship and the alternatives.

Comparing differences in support needs as perceived by parents of adult offspring with down syndrome, autism spectrum disorder and cerebral palsy.

BACKGROUND: Parents often face many barriers when taking care of their offspring with disabilities. In childhood, support needs vary with families of children with Down syndrome often reporting less caregiving challenges. However, it is unclear whether support needs vary in adulthood. This study compared parents of adults with Down syndrome (DS), autism spectrum disorder (ASD) and cerebral palsy (CP) regarding support needs of their offspring with intellectual and developmental disabilities (IDD) and their families. METHOD: Data were collected via a national survey in the United States with 189 parents of adults with IDD. RESULTS: Across the quantitative and qualitative analyses, parents of adults with DS (versus CP and ASD) reported significantly greater recreational, natural supports, more formal services and less future planning barriers. CONCLUSION: The results indicate that the DS advantage may persist in adulthood regarding support needs. More research is needed to understand different types of support needs.

Correlates of current caregiving among siblings of adults with intellectual and developmental disabilities.

BACKGROUND: As individuals with intellectual and developmental disabilities (IDD) grow older, siblings are likely to become caregivers for their brothers and sisters with IDD. Thus, it is important to identify the correlates of sibling caregiving to facilitate transitions to caregiving roles. METHOD: This study involved the secondary analysis of a national data set of 429 adult siblings of individuals with IDD. RESULTS: Current sibling caregiving was positively correlated with sibling relationship quality, sibling advocacy and future planning, maladaptive behaviours of individuals with IDD, and family size. Current sibling caregiving was negatively correlated with parent caregiving abilities and functional abilities of individuals with IDD. Further, among siblings who provided care, the level and nature of sibling caregiving were negatively correlated with parent caregiving abilities. CONCLUSIONS: The results identify the correlates of current caregiving among siblings of individuals with IDD. More research is needed to understand current sibling caregiving.

Reverse and Random Decoy Methods for False Discovery Rate Estimation in High Mass Accuracy Peptide Spectral Library Searches.

Spectral library searching (SLS) is an attractive alternative to sequence database searching (SDS) for peptide identification due to its speed, sensitivity, and ability to include any selected mass spectra. While decoy methods for SLS have been developed for low mass accuracy peptide spectral libraries, it is not clear that they are optimal or directly applicable to high mass accuracy spectra. Therefore, we report the development and validation of methods for high mass accuracy decoy libraries. Two types of decoy libraries were found to be suitable for this purpose. The first, referred to as Reverse, constructs spectra by reversing a library's peptide sequences except for the C-terminal residue. The second, termed Random, randomly replaces all non-C-terminal residues and either retains the original C-terminal residue or replaces it based on the amino-acid frequency of the library's C-terminus. In both cases the m/z values of fragment ions are shifted accordingly. Determination of FDR is performed in a manner equivalent to SDS, concatenating a library with its decoy prior to a search. The utility of Reverse and Random libraries for target-decoy SLS in estimating false-positives and FDRs was demonstrated using spectra derived from a recently published synthetic human proteome project (Zolg, D. P.; et al. Nat. Methods 2017, 14, 259-262). For data sets from two large-scale label-free and iTRAQ experiments, these decoy building methods yielded highly similar score thresholds and spectral identifications at 1% FDR. The results were also found to be equivalent to those of using the decoy-free PeptideProphet algorithm. Using these new methods for FDR estimation, MSPepSearch, which is freely available search software, led to 18% more identifications at 1% FDR and 23% more at 0.1% FDR when compared with other widely used SDS engines coupled to postprocessing approaches such as Percolator. An application of these methods for FDR estimation for the recently reported "hybrid" library search (Burke, M. C.; et al. J. Proteome Res. 2017, 16, 1924-1935) method is also made. The application of decoy methods for high mass accuracy SLS permits the merging of these results with those of SDS, thereby increasing the assignment of more peptides, leading to deeper proteome coverage.