Assessment of Striatal Dopamine Transporter Binding in Individuals With Major Depressive Disorder: In Vivo Positron Emission Tomography and Postmortem Evidence.

Importance: Major depressive disorder (MDD) might involve dopamine (DA) reductions. The DA transporter (DAT) regulates DA clearance and neurotransmission and is sensitive to DA levels, with preclinical studies (including those involving inescapable stressors) showing that DAT density decreases when DA signaling is reduced. Despite preclinical data, evidence of reduced DAT in MDD is inconclusive. Objective: Using a highly selective DAT positron emission tomography (PET) tracer ([11C] altropane), DAT availability was probed in individuals with MDD who were not taking medication. Levels of DAT expression were also evaluated in postmortem tissues from donors with MDD who died by suicide. Design, Setting, and Participants: This cross-sectional PET study was conducted at McLean Hospital (Belmont, Massachusetts) and Massachusetts General Hospital (Boston) and enrolled consecutive individuals with MDD who were not taking medication and demographically matched healthy controls between January 2012 and March 2014. Brain tissues were obtained from the Douglas-Bell Canada Brain Bank. For the PET component, 25 individuals with current MDD who were not taking medication and 23 healthy controls recruited from McLean Hospital were included (all provided usable data). For the postmortem component, 15 individuals with depression and 14 healthy controls were considered. Intervention: PET scan. Main Outcomes and Measures: Striatal and midbrain DAT binding potential was assessed. For the postmortem component, tyrosine hydroxylase and DAT levels were evaluated using Western blots. Results: Compared with 23 healthy controls (13 women [56.5%]; mean [SD] age, 26.49 [7.26] years), 25 individuals with MDD (19 women [76.0%]; mean [SD] age, 26.52 [5.92] years) showed significantly lower in vivo DAT availability in the bilateral putamen and ventral tegmental area (Cohen d range, -0.62 to -0.71), and both reductions were exacerbated with increasing numbers of depressive episodes. Unlike healthy controls, the MDD group failed to show an age-associated reduction in striatal DAT availability, with young individuals with MDD being indistinguishable from older healthy controls. Moreover, DAT availability in the ventral tegmental area was lowest in individuals with MDD who reported feeling trapped in stressful circumstances. Lower DAT levels (and tyrosine hydroxylase) in the putamen of MDD compared with healthy controls were replicated in postmortem analyses (Cohen d range, -0.92 to -1.15). Conclusions and Relevance: Major depressive disorder, particularly with recurring episodes, is characterized by decreased striatal DAT expression, which might reflect a compensatory downregulation due to low DA signaling within mesolimbic pathways.

Mapping posttranscriptional regulation of the human glycome uncovers microRNA defining the glycocode.

Cell surface glycans form a critical interface with the biological milieu, informing diverse processes from the inflammatory cascade to cellular migration. Assembly of discrete carbohydrate structures requires the coordinated activity of a repertoire of proteins, including glycosyltransferases and glycosidases. Little is known about the regulatory networks controlling this complex biosynthetic process. Recent work points to a role for microRNA (miRNA) in the regulation of specific glycan biosynthetic enzymes. Herein we take a unique systems-based approach to identify connections between miRNA and the glycome. By using our glycomic analysis platform, lectin microarrays, we identify glycosylation signatures in the NCI-60 cell panel that point to the glycome as a direct output of genomic information flow. Integrating our glycomic dataset with miRNA data, we map miRNA regulators onto genes in glycan biosynthetic pathways (glycogenes) that generate the observed glycan structures. We validate three of these predicted miRNA/glycogene regulatory networks: high mannose, fucose, and terminal ß-GalNAc, identifying miRNA regulation that would not have been observed by traditional bioinformatic methods. Overall, our work reveals critical nodes in the global glycosylation network accessible to miRNA regulation, providing a bridge between miRNA-mediated control of cell phenotype and the glycome.

Advances in lectin microarray technology: optimized protocols for piezoelectric print conditions.

Lectin microarray technology has been used to profile the glycosylation of a multitude of biological and clinical samples, leading to new clinical biomarkers and advances in glycobiology. Lectin microarrays, which include >90 plant lectins, recombinant lectins, and selected antibodies, are used to profile N-linked, O-linked, and glycolipid glycans. The specificity and depth of glycan profiling depends upon the carbohydrate-binding proteins arrayed. The current set targets mammalian carbohydrates including fucose, high mannose, branched and complex N-linked, α- and ß-galactose and GalNAc, α-2,3- and α-2,6-sialic acid, LacNAc, and Lewis X epitopes. Previous protocols have described the use of a contact microarray printer for lectin microarray production. Here, an updated protocol that uses a non-contact, piezoelectric printer, which leads to increased lectin activity on the array, is presented. Optimization of print and sample hybridization conditions and methods of analysis are discussed.

Identification of a conserved glycan signature for microvesicles.

Microvesicles (exosomes) are important mediators of intercellular communication, playing a role in immune regulation, cancer progression, and the spread of infectious agents. The biological functions of these small vesicles are dependent on their composition, which is regulated by mechanisms that are not well understood. Although numerous proteomic studies of these particles exist, little is known about their glycosylation. Carbohydrates are involved in protein trafficking and cellular recognition. Glycomic analysis may thus provide valuable insights into microvesicle biology. In this study, we analyzed glycosylation patterns of microvesicles derived from a variety of biological sources using lectin microarray technology. Comparison of the microvesicle glycomes with their parent cell membranes revealed both enrichment and depletion of specific glycan epitopes in these particles. These include enrichment in high mannose, polylactosamine, α-2,6 sialic acid, and complex N-linked glycans and exclusion of terminal blood group A and B antigens. The polylactosamine signature derives from distinct glycoprotein cohorts in microvesicles of different origins. Taken together, our data point to the emergence of microvesicles from a specific membrane microdomain, implying a role for glycosylation in microvesicle protein sorting.

A ratiometric lectin microarray approach to analysis of the dynamic mammalian glycome.

Glycosylation creates an intricate and complex code for biological information that plays a role in cell-cell communication, infection, and immunity among many biological events. Dynamic changes in the glycosylation status of cells have been observed in tumor cell metastasis and cell differentiation but have been difficult to analyze because of a lack of high-throughput and facile technologies. Here, we present a method for the rapid evaluation of differences in the glycosylation of heterogeneous mammalian samples using a ratiometric two-color lectin microarray approach. This work represents a significant improvement in glycomics technology and sets the stage for the systematic evaluation of how glycans encode biological information in complex systems.

Deciphering the glycocode: the complexity and analytical challenge of glycomics.

Carbohydrates coat most types of cell in nature and are intimately involved in various biological events, including cell differentiation, homing to specific tissues, cell adhesion, cell recognition, microbial pathogenesis and immunological recognition. Carbohydrate structures are complex to analyze owing to their branched nature, the diversity of secondary modifications of monomers, their indirect relationship to the genome and the range of molecular contexts in which the modifications are found. Thus, whereas the fields of genomics and proteomics have become accessible to most scientists, technologies to assess glycan structures rapidly (i.e. glycomics) are still in the developmental stages. This review focuses on recent developments in glycomic technologies, including new high-throughput techniques for glycan purification and annotation that are advancing mass-spectrometry-based glycomics, and the latest work on microarray methodologies to decipher the glycome.

Lectin microarrays for glycoprotein analysis.

Glycosylation is one of the most common posttranslational modifications, with more than half of all known proteins thought to be glycoproteins. Alterations in glycosylation play a role in a diverse set of biological phenomena including tumor cell metastasis, intracellular communication, and inflammation. The complexity of glycosylation at the molecular level and the lack of rapid analytical tools complicate the study of glycan function. We have recently developed a lectin microarray for the high-throughput analysis of glycosylation. Lectins are carbohydrate-binding proteins that have been used for decades as a detection method for glycans. By placing the lectins in a microarray format and using standard microarray printing and scanning technology, we have created a simple yet powerful technique for glycan profiling.

Analyzing the dynamic bacterial glycome with a lectin microarray approach.

Glycosylation of bacterial cell surfaces is emerging as a critical factor in symbiosis, pathogenesis, cell-cell interactions and immune evasion. The lack of high-throughput analytical tools to examine bacterial glycans has been a major obstacle to the field and has hindered closer examination of the dynamics of carbohydrate variation. We have recently developed a lectin microarray for the analysis of glycoproteins. Herein we present a rapid analytical system based on this technology for the examination of bacterial glycans. The glycosylation pattern observed distinguishes closely related Escherichia coli strains from one another, providing a facile means of fingerprinting bacteria. In addition, dynamic alterations in the carbohydrate coat of a pathogenic E. coli strain are readily observed. The fast evaluation of real-time alterations in surface-carbohydrate epitopes allows examination of the dynamic role of bacterial sugars in response to external stimuli such as the immune system.