Tissue specific expression of sialic acid metabolic pathway: role in GNE myopathy

Journal of Muscle Research and Cell Motility - GNE myopathy is an adult-onset degenerative muscle disease that leads to extreme disability in patients. Biallelic mutations in the rate-limiting...     

Infection imaging using [18F]FDG-labelled white blood cell positron emission tomography–computed tomography

Localizing the sites of infection in the body is possible in nuclear medicine using a variety of radiopharmaceuticals that target different components of the infective and inflammatory cascade. Gamma(γ)-emitting agents such as [67Ga]gallium citrate were among the first tracers used, followed by development of positron-emitting tracers like 2-deoxy-2-[18F]fluoro-D-glucose (¹⁸F-FDG). Though these tracers are quite sensitive, they have limited specificity for infection due to their concentration in sites of non-infective inflammation. White blood cells (WBC) labelled with γ or positron emitters have higher accuracy for differentiating the infective processes from the non-infective conditions that may show positivity with tracers such as ¹⁸F-FDG. We present a pictorial review of potential clinical applications of PET/CT using ¹⁸F-FDG labelled WBC.     

Synthetic heparan sulfate standards and machine learning facilitate the development of solid-state nanopore analysis

The application of solid-state (SS) nanopore devices to single-molecule nucleic acid sequencing has been challenging. Thus, the early successes in applying SS nanopore devices to the more difficult class of biopolymer, glycosaminoglycans (GAGs), have been surprising, motivating us to examine the potential use of an SS nanopore to analyze synthetic heparan sulfate GAG chains of controlled composition and sequence prepared through a promising, recently developed chemoenzymatic route. A minimal representation of the nanopore data, using only signal magnitude and duration, revealed, by eye and image recognition algorithms, clear differences between the signals generated by four synthetic GAGs. By subsequent machine learning, it was possible to determine disaccharide and even monosaccharide composition of these four synthetic GAGs using as few as 500 events, corresponding to a zeptomole of sample. These data suggest that ultrasensitive GAG analysis may be possible using SS nanopore detection and well-characterized molecular training sets.

Glycosaminoglycans (GAGs) are linear anionic polysaccharides found on cell surfaces and in the extracellular matrix in all animals. GAGs comprise an important class of biopolymers that are ubiquitous in nature and exhibit a number of critical functional roles including biological recognition and signaling (1–3). Such processes play critical roles in physiology, such as in development and wound healing, and pathophysiology, such as cancer and infectious disease. Sulfated GAGs result from template-independent synthesis in the Golgi of animal cells (4, 5) and are polydisperse, heteropolysaccharides comprising variable disaccharide repeating units that are classified by these repeating units. Like nucleic acids, sulfated GAGs are made up of repeating units that comprise a linear sequence (Fig. 1). Unlike the nucleic acids, GAGs have far more complicated structures and number of possible sequences and they present severe challenges to both synthesis and characterization. Thus, we undertook to chemoenzymatically synthesize defined GAGs and characterize these using solid-state nanopore analysis.Open in a separate windowFig. 1.Structures of four synthetic GAG samples. Polysaccharide NSH is made up of N-sulfoglucosamine (GlcNS) and glucuronic acid (GlcA),NS2S is made up with GlcNS and 2-O-sulfo-iduronic acid (IdoA2S), NS6S is made up with 6-O-sulfo-N-sulfoheparosan (GlcNS6S) and GlcA, and NS6S2S is made up with GlcNS6S and IdoA2S.Despite their structural complexities, sulfated GAGs often contain well-defined domain structures that are responsible for their diverse biological functions, yet even this level of structural complexity poses a significant general challenge to structural analysis and sequencing. The simple, short-chain, chondroitin sulfate GAG component of bikunin has been sequenced using liquid chromatography–tandem mass spectrometry (LC-MS/MS) (6). While LC-MS/MS is capable of sequencing such simple, short-chain GAGs, it is not yet able to distinguish all of the many isobaric isomers of the variably sulfated saccharide residues and uronic acid epimers commonly encountered in more structurally complex GAGs, such as heparan sulfate (HS) (7). NMR has been applied to determine GAG structures but often requires milligram amounts of samples. HS/heparin is made up of →4)-β-d-glucuronic acid (GlcA) [or α-l-iduronic acid (IdoA)] (1→4)-α-d-glucosamine (GlcN) [1→ repeating units with 2-O-sulfo (S) groups on selected uronic acid residues and 3- and/or 6-O-S and N-S or N-acetyl (Ac) group substitutions on the glucosamine residues] (Fig. 1). GAG structural analysis presents challenges beyond their chemical complexity. There are no amplification methods to detect small numbers of GAG chains, whereas nucleic acid analysis can rely on PCR. Similarly, there are few GAG-specific antibodies or aptamers (8), and no natural GAG chromophores or fluorophores (9), in contrast to the many used for protein sensing. Ultrasensitive (zeptomole) detection methods of modified GAGs, based on fluorescence resonance energy transfer (FRET) (10), DNA bar coding (11), and dye-based nanosensors (12) have been demonstrated, but their application to sequencing is particularly challenging because of the high level of structural complexity of sulfated GAGs.Nanopore single-molecule detection is now routinely applied to DNA (13, 14) and RNA (15–17) biopolymers, and is increasingly applied to protein characterization (18–22). In brief, a nanopore is a nanofluidic channel ∼10 nm long and <100 nm in diameter, serving as the sole fluid connection between two reservoirs of electrolyte separated by an otherwise impermeable membrane (Fig. 2A). On applying a voltage across this nanopore, the passage of supporting electrolyte ions results in a “baseline,” or open-pore current, i₀. The passage of a biopolymer analyte through this nanopore disrupts the flow of supporting electrolyte ions, often as a current blockage. This temporary reduction in ionic current is called an “event,” and its magnitude (mean blockage ratio over the dwell time, ⟨f_b⟩=⟨i⟩_Td/⟨i₀⟩) and its temporal features [dwell time (Td)] (Fig. 2 B and C) depend on the size and shape of the nanopore, the biopolymer analyte, and the applied voltage and interfacial charge distributions. Indeed, the passage of DNA through engineered protein nanopore devices produces current blockages that can be applied in sequencing, and the widespread use of these commercial protein nanopore DNA sequencing devices is increasing (23, 24). Despite this success with protein nanopores, the potential benefits of (abiotic) solid-state (SS) nanopores have continued to drive development efforts. Such a transition to the freely size-tunable SS platform (25, 26), however, is vital for the application of nanopores to the characterization of branched glycans (27). Yet the use of SS nanopores in even the better-established DNA sensing regime remains challenging. The application of nanopore sensing to glycans, while promising, remains profoundly exploratory using nanopores of any kind. The transition to the SS nanopores is accompanied by significant changes in pore geometry, chemistry, characteristics, and potential analyte–pore interactions and sensing modalities, so that there is a critical need for studies in the realm of nanopore glycomics (27, 28). For example, outcomes of early nanopore studies on a structurally simple unsulfated GAG, hyaluronan (HA, →4)- β -GlcA (1 → 3)- β -GlcNAc (1→), while providing some information on HA size does not provide definitive structural information (29, 30). SS nanopore analysis of two sulfated GAGs, heparin and a heparin contaminant, oversulfated chondroitin sulfate, using a silicon nitride SS nanopore was able to qualitatively identify these GAGs by either the magnitude or duration of characteristic current blockages (28). SS nanopore data on GAGs, analyzed using a machine-learning (ML) algorithm (i.e., a support vector machine [SVM]), distinguished heparin and chondroitin sulfate oligosaccharides and unfractionated heparin and low molecular weight heparin with >90% accuracy (31).Open in a separate windowFig. 2.Nanopore characteristics of four samples. (A) Schematic of the nanopore configuration. Anionic GAGs driven by electrophoresis to and through the pore with a negative applied voltage would be detected if they perturbed the open-pore current. (B) A representative current trace and events from polysaccharide NS6S2S test using an ∼6-nm-diameter nanopore. Measurements were collected using a −150-mV applied-voltage (details in Results and Discussion, and Materials and Methods) (C) Scatter plots of dwell time vs. current blockage ratio for four polysaccharides. To remove the bias of event numbers in human image recognition, all plots contain only the first 2,475 events. (D) PCA visualization of the embedded images from the four unique GAGs. The blue circles and region represent NSH, the red X and region represents NS2S, the green triangle and region represents NS6S, and the brown cross and region represents NS6S2S. The algorithm clusters signals from each GAG based on scatter plot images. Each insert shows one 500-events image from each sample class. All 500-events images are in SI Appendix, Fig. S12.Nanopore studies on GAGs, and glycans more broadly, have been severely limited by the lack of a library of structurally defined standards. The uniformity of sulfated GAGs prepared from animal sources is difficult to control and exhibits significant sequence heterogeneity and polydispersity (32). HS is particularly problematic as even for a small HS hexasaccharide, composed of an IdoA/GlcA:GlcNS/GlcNAc sequence with 12 available sites for random sulfation, there are 32,768 possible sequences. Recently, chemoenzymatic synthesis has made inroads in the preparation of high-purity sulfated HS GAGs from heparosan (→4)- β -GlcA (1→4)- β -GlcNAc (1→) (33). HS GAGs of approximately the same chain length and polydispersity and having a single repeating disaccharide unit (SI Appendix, Table S1) including, NSH (→4)- β -GlcA (1→4)- β -GlcNS (1→), NS2S (→4)-α α -IdoA2S (1 → 4)- β -GlcNS (1→), NS6S (→4)- β -GlcA (1→4)- β -GlcNS6S(1→)), NS6S2S (→4)- α -IdoA2S (1→4)- β -GlcNS6S (1→) have been prepared (see Materials and Methods and ref. 34) (Fig. 1). Here we use our recently developed synthetic technique, which has proven difficult to benchmark, in conjunction with a nanopore technique, which has only just begun to be applied to glycomics and has been severely challenged by the lack of available high-quality samples, to develop a fully integrated approach for the nanopore analysis of complex carbohydrates.     

Application of full field optical studies for pulsatile flow in a carotid artery phantom

A preliminary comparative measurement between particle imaging velocimetry (PIV) and laser speckle contrast analysis (LASCA) to study pulsatile flow using ventricular assist device in a patient-specific carotid artery phantom is reported. These full-field optical techniques have both been used to study flow and extract complementary parameters. We use the high spatial resolution of PIV to generate a full velocity map of the flow field and the high temporal resolution of LASCA to extract the detailed frequency spectrum of the fluid pulses. Using this combination of techniques a complete study of complex pulsatile flow in an intricate flow network can be studied.OCIS codes: (100.0100) Image processing, (170.0170) Medical optics and biotechnology, (230.0230) Optical devices, (290.0290) Scattering     

Provider Visits and Early Vascular Access Placement in Maintenance Hemodialysis

Medicare reimbursement policy encourages frequent provider visits for patients with ESRD undergoing hemodialysis. We hypothesize that patients seen more frequently by their nephrologist or advanced practitioner within the first 90 days of hemodialysis are more likely to undergo surgery to create an arteriovenous (AV) fistula or place an AV graft. We selected 35,959 patients aged ≥67 years starting hemodialysis in the United States from a national registry. We used multivariable regression to evaluate the associations between mean visit frequency and AV fistula creation or graft placement in the first 90 days of hemodialysis. We conducted an instrumental variable analysis to test the sensitivity of our findings to potential bias from unobserved characteristics. One additional visit per month in the first 90 days of hemodialysis was associated with a 21% increase in the odds of AV fistula creation or graft placement during that period (95% confidence interval, 19% to 24%), corresponding to an average 4.5% increase in absolute probability. An instrumental variable analysis demonstrated similar findings. Excluding visits in months when patients were hospitalized, one additional visit per month was associated with a 10% increase in odds of vascular access surgery (95% confidence interval, 8% to 13%). In conclusion, patients seen more frequently by care providers in the first 90 days of hemodialysis undergo earlier AV fistula creation or graft placement. Payment policies that encourage more frequent visits to patients at key clinical time points may yield more favorable health outcomes than policies that operate irrespective of patients’ health status.     

Severe OSA Leading to Long Pauses in 24-h Holter ECG Reversed with CPAP

Introduction Sleep-related problems like sleep apnea are increasing tremendously mostly owing to the disordered lifestyle the present generation is leading which is added like a topping on the base of obesity and metabolic syndrome. The burden on the society is huge taking into consideration the work-time loss and health-related financial issues arising out of these sleep disorders with obstructive sleep apnea (OSA) leading the way. Early diagnosis can prevent several complications of OSA. Cardiovascular diseases, including various arrhythmias, arising due to OSA, are described previously.Case Presentation Herein, an interesting case of OSA, whose pacemaker installation to rectify the long pause could be avoided by simple correction of his OSA using continuous positive airway pressure, is presented. This 49-year-old male patient was diagnosed with severe OSA by using polysomnography and all his significant sinus pauses (highest one with 7.8 sec) during holter ECG monitoring were found to be occurring at night and correcting his OSA with continuous positive airway pressure (CPAP) treatment reverted all those sinus pauses and the need for any further intervention with pacemaker was discarded.Discussion OSA is caused by either partial or complete obstruction of the upper airway, and there is the simultaneously attenuated upper airway dilator muscle tone while the patient is sleeping. The gold standard test designed for the assessment of OSA is polysomnography, as approved by the American Academy of Sleep Medicine and CPAP has been found to be universally beneficial in treating OSA related complications. Physiologically, the ACC/AHA guidelines recommend pacing only in patients with prolonged asymptomatic pauses occurring during wakefulness. This case report proved the above mentioned claim of CPAP treatment.