Gamez, Jeffrey D.

Abstract Abdominal subcutaneous fat aspiration is one of the most practical, sensitive and specific methods for the diagnosis of systemic amyloidosis. One limitation of this method, compared to more invasive tissue biopsy based approaches, remains the technical difficulties in further classification of the amyloidosis as commonly used methods, such as immunohistochemistry, are not readily applicable to fat aspiration specimens. To overcome these difficulties we developed a method using nano-flow liquid chromatography electrospray tandem mass spectrometry (LC-MS/MS) that could identify amyloid subtypes in freshly obtained Congo Red positive fat aspirate specimens with great accuracy. Abdominal subcutaneous fat aspirate specimens were obtained from 73 patients with clinical suspicion for systemic amyloidosis. One half of the specimen was stained with Congo red and used for diagnosis of amyloidosis and the other half was processed and enzyme digested for LC-MS/MS analysis. The resulting LC-MS/MS data was correlated to theoretical fragmentation patterns of tryptic peptide sequences from the Swissprot database using Scaffold (Mascot, Sequest, and X!Tandem search algorithms). Peptide identifications were accepted if they could be established at greater than 90.0% probability and protein identifications were accepted if they could be established at greater than 90.0% probability and contain at least 2 identified spectra. The identified proteins were subsequently examined for the presence or absence of amyloid related peptides. Of the 73 cases studied, 41 were positive for Congo red consistent with systemic amyloidosis. In Congo red positive cases, LC-MS/MS peptide profiles consistent with AL-lambda (28/31), AL-kappa (6/7), and ATTR (2/3) were observed. Only one case in the Congo red negative control group (31/32) gave a kappa light chain profile which was attributed to a high level of kappa in the serum (285 mg/dL). Of the 35 out of 41 cases of systemic amyloidosis successfully classified by LC-MS/MS, additional clinical and pathology data validating the amyloid type was available. In each of these cases the MS/MS results accurately predicted the amyloid type. In conclusion, LC-MS/MS proteomic analysis of abdominal subcutaneous fat aspiration specimens involved by amyloidosis provides a highly specific (97% specificity) and sensitive (>85% sensitivity) method for diagnosis and classification of amyloidosis. The method is rapid and readily applicable in a clinical setting and will greatly improve the clinical management of amyloidosis patients.

Abstract Background: Amyloidosis caused by immunoglobulin light chain (IGLC) deposition, so-called AL-type or primary amyloidosis, is the most common type of amyloidosis. It has been long believed that IGLC variable regions form the core of the AL-type amyloid deposits and peptides derived from IGLC constant region peptides are only occasionally integrated into this core. For this reason, the scientific effort to identify thge risk factors for development of AL amyloidosis and the biochemical characteristics amyloid deposits has focused on IGLC variable region derived proteins. To understand the peptide constituents of AL amyloidosis better, we undertook a comprehensive study of AL amyloidosis using a novel mass spectrometry based proteomic analysis approach. Methods: Paraffin embedded tissue from 100 cases of AL amyloidosis was studied. In each case amyloid type was previously established by clinical and pathological examination. Congo red stained paraffin sections were prepared and amyloid deposits were microdissected by laser microdissection microscopy. The microdissected tissue fragments were processed and trypsin digested into peptides. The peptides were analyzed by nano-flow liquid chromatography electrospray tandem mass spectrometry (LC-MS/MS). The resulting LC-MS/MS data were correlated to theoretical fragmentation patterns of tryptic peptide sequences from the Swissprot database using Scaffold (Mascot, Sequest, and X!Tandem search algorithms). Peptide identifications were accepted if they could be established at greater than 90.0% probability and protein identifications were accepted if they could be established at greater than 90.0% probability and contain at least 2 identified spectra. The identified proteins were subsequently examined for the presence or absence of amyloid related peptides. Results and Discussion: LC-MS/MS gave peptide profiles consistent with AL amyloidosis in each case. The analysis showed IGLC-lambda deposition in 66 cases and IGLC-kappa deposition in 34 of cases. In each case, LC MS/MS confirmed the previous clinicopathological diagnosis. Interestingly peptides representing IGLC constant region were present in each case. Using this LC-MS/MS methodology, theoretically it is possible to cover 78% of the IGLC-lambda and 87% IGLC-kappa constant regions. In our samples, the average coverage of the IGLC-lambda and IGLC-kappa constant regions were 40% (range 14–78%)and 55% (range 16–87%) respectively. Additionally, the distribution of the peptides suggested that in the majority of the cases whole of the IGLC constant region was deposited. LC MS/MS also identified IGLC-lambda variable region peptides in 37 of 66 cases and IGLC-kappa variable region peptides in 29 of 34 cases studied. The variable region coverage was more restricted and the peptides identified were frequently within the framework segments. It is likely that the peptides derived from CDR segments were present but not detected by the methodology as somatic hypermutation randomly alters the amino acid sequence in the CDR segments and such new sequences are not available in public databases used by algorithms for peptide identification. In the cases with the IGLC variable region hits, it was also possible to assign variable region family usage. IGLC-lambda cases frequently used IGLC-lambda variable region I, II and III families whereas, in IGLC-kappa cases, IGLC-kappa variable region I and III families dominated. Conclusions: AL amyloidosis can be accurately diagnosed using laser microdissection and LC-MS/MS based proteomic analysis in routine clinical specimens. AL amyloidosis invariably contains IGLC constant region peptides and, frequently, the whole of the constant region is deposited. This finding suggests that studies on molecular pathogenesis of amyloidosis should not only consider the IGLC-variable region but also the constant region. It is possible to identify IGLC variable region family usage in AL amyloidosis using LC MS/MS based proteomic analysis. In the clinical setting, this information may be helpful in predicting organ distribution and clinical outcome.

Abstract The management of systemic amyloidosis relies on the treatment of the underlying etiology and differs radically for different amyloid types. Therefore, given that at least 25 different proteins have been associated with amyloidosis, accurate identification of proteins deposited as amyloid fibrils is an important clinical problem. In this study, we describe a novel method that can characterize amyloid subtypes using laser microdissection (LMD) and mass spectrometry (MS) on routinely processed paraffin-embedded tissues. The study used 60 cases consisting of 16 transthyretin, 9 serum amyloid-associated protein, 20 immunoglobulin light chain lambda, 5 immunoglobulin light chain kappa, and 10 amyloid negative control samples. The biopsy specimens studied included heart, kidney, gastrointestinal tract, lung and decalcified bone marrow specimens. The amyloid type in all cases was previously characterized based on clinical findings, immunohistochemistry and, where indicated, by molecular testing for transthyretin mutations. Amyloid plaques were captured from an 10 micron paraffin section exhibiting positive Congo Red staining using LMD. Proteins were extracted, digested with trypsin and identified following MS/MS using the Mascot search algorithm analysis. MS correctly identified each of the 4 types of amyloidosis analyzed. Serum Amyloid P component and Apolipoprotein E were also identified as constituents of the amyloid deposition. The analysis was successful on all tissue types including decalcified bone marrow specimens and small biopsy specimens such as endomycardial biopsies and renal biopsies. The use of LMD from paraffin embedded biopsies and subsequent analysis by MS allows identification of the type of amyloid protein deposited with high specificity and sensitivity. This method promises to be a clinical test for accurate identification of amyloid proteins in routinely processed biopsy specimens and overcomes many of the specificity and sensitivity issues associated with current methods such as immunohistochemistry.

ABSTRACT Brain atrophy is a common feature of numerous neurologic diseases in which the role of neuroinflammation remains ill‐defined. In this study, we evaluated the contribution of major histocompatibility complex class I molecules to brain atrophy in Theiler's murine encephalomyelitis virus (TMEV)–infected transgenic FVB mice that express the D b class I molecule. FVB/D b and wild‐type FVB mice were evaluated for changes in neuroinflammation, virus clearance, neuropathology, and development of brain atrophy via T2‐weighted MRI and subsequent 3‐dimensional volumetric analysis. Significant brain atrophy and hippocampal neuronal loss were observed in TMEV‐infected FVB/D b mice, but not in wild‐type FVB mice. Brain atrophy was observed at 1 mo postinfection and persisted through the 4‐mo observation period. Of importance, virus‐infected FVB/D b mice elicited a strong CD8 T‐cell response toward the immunodominant D b ‐restricted TMEV‐derived peptide, VP2 121–130 , and cleared TMEV from the CNS. In addition, immunofluorescence revealed CD8 T cells near virus‐infected neurons; therefore, we hypothesize that class I restricted CD8 T‐cell responses promote development of brain atrophy. This model provides an opportunity to analyze the contribution of immune cells to brain atrophy in a system where persistent virus infection and demyelination are not factors in long‐term neuropathology.—Huseby Kelcher, A. M., Atanga, P. A., Gamez, J. D., Cumba Garcia, L. M., Teclaw, S. J., Pavelko, K. D., Macura, S. I., Johnson, A. J. Brain atrophy in picornavirus‐infected FVB mice is dependent on the H‐2Db class I molecule. FASEB J. 31, 2267–2275 (2017). www.fasebj.org

ABSTRACT Inflammatory response of blood–brain barrier (BBB) endothelial cells plays an important role in pathogenesis of many central nervous system inflammatory diseases, including multiple sclerosis; however, the molecular mechanism mediating BBB endothelial cell inflammatory response remains unclear. In this study, we first observed that knockdown of neuropilin-1 (NRP1), a co-receptor of several structurally diverse ligands, suppressed interferon-γ (IFNγ)-induced C-X-C motif chemokine 10 expression and activation of STAT1 in brain microvascular endothelial cells in a Rac1-dependent manner. Moreover, endothelial-specific NRP1-knockout mice, VECadherin-Cre-ERT2/NRP1flox/flox mice, showed attenuated disease progression during experimental autoimmune encephalomyelitis, a mouse neuroinflammatory disease model. Detailed analysis utilizing histological staining, quantitative PCR, flow cytometry and magnetic resonance imaging demonstrated that deletion of endothelial NRP1 suppressed neuron demyelination, altered lymphocyte infiltration, preserved BBB function and decreased activation of the STAT1–CXCL10 pathway. Furthermore, increased expression of NRP1 was observed in endothelial cells of acute multiple sclerosis lesions. Our data identify a new molecular mechanism of brain microvascular endothelial inflammatory response through NRP1–IFNγ crosstalk that could be a potential target for intervention of endothelial cell dysfunction in neuroinflammatory diseases.

ABSTRACTBACKGROUNDDisability progression in multiple sclerosis (MS) remains incompletely understood. Unlike lesional measures, central nervous system atrophy has a strong correlation with disability. Theiler's murine encephalomyelitis virus infection in SJL/J mice is an established model of progressive MS. We utilized in vivo MRI to quantify brain and spinal cord atrophy in this model and analyzed the temporal relationship between atrophy and disability.METHODSInfected and control mice were followed for 12 months. Disability was assessed periodically using rotarod assay. Volumetric MRI datasets were acquired at 7 Tesla. Ventricular volume and C4‐5 spinal cord cross‐sectional area measurements were performed using Analyze 10.RESULTSAt 3 months, brain atrophy reached statistical significance (P = .005). In contrast, disability did not differ until 4 months post‐infection (P = .0005). Cord atrophy reached significance by 9 months (P = 0.009). By 12 months, brain atrophy resulted in 111.8% increased ventricular volume (P = .00003), while spinal cord cross‐sectional area was 25.6% reduced (P = .001) among cases.CONCLUSIONSOur results suggest that significant brain atrophy precedes and predicts the development of disability, while spinal cord atrophy occurs late and correlates with severe disability. The observed temporal relationship establishes a framework for mechanisms of disability progression and enables further investigations of their underlying substrate.

PurposeArchived formalin‐fixed paraffin‐embedded (FFPE) tissue collections represent a valuable informational resource for numerous studies. However, there is no NMR signal from FFPE specimens at room temperature. To obtain MR images and enable comparison of magnetic resonance microscopy (MRM) and histology studies we propose to image FFPE tissue at elevated temperature.MethodsA FFPE tissue block was imaged at 7 Tesla (T) and 16.4T at 70–80°C using T2‐weighting methods. The only difference from standard MR microscopy (MRM) is elevated temperature at which the embedding medium melts.ResultsUsing FFPE murine brain tissue, we were able to demonstrate the feasibility of tissue MRM from paraffin embedded specimens. Histology images taken from the specimen after MRM demonstrate that keeping the FFPE specimen in paraffin melt at 70–80°C for dozens of hours does not affect subsequent histology analysis.ConclusionMRM of FFPE tissue from paraffin melt opens new avenues for analyzing archived histological specimens (biopsies, post mortem, etc.) and for correlating MR images with histology (optical microscopy). In addition, 3D MRM of FFPE specimens could guide histology in search for appropriate regions of interest and subsequently minimize occurrences of false negatives in tissue analysis. Magn Reson Med 71:1989–1994, 2014. © 2014 Wiley Periodicals, Inc.

We propose to use organic and mixed solvents for nuclear magnetic resonance microscopy of fixed tissue as a means for improving image information content. NMR properties of some standard solvents (methanol, acetone, DMSO) and solvents in use for tissue processing in pathology (xylenes, paraffin, ?Clearify?) have been measured, reviewed, and analyzed. It was found that DMSO and paraffin are very useful solvents that provide images of better quality than those obtained in water (neutralized formalin buffer). This is illustrated on the formalin fixed mouse brain sections imaged at 16.4 teslas (700 MHz).