Application of mass spectrometry based proteomics to understand diabetes: A special focus on interactomics

Kalita, Bhargab; Bano, Shehnaz; Vavachan, Vijayakumar Maleppillil; Taunk, Khushman; Seshadri, Vasudevan; Rapole, Srikanth

doi:10.1016/j.bbapap.2020.140469

Cited by 10 publications

(6 citation statements)

References 131 publications

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“…Rational proteomics analysis discovered higher anti-OmpA antibody titers in in vivo testing of the OmpA antigen in diabetic mice, protecting the mice from intravenous infection with A. baumannii (Luo et al, 2012). While it is true that gel-based techniques were the foundation of the early proteomic research in DM, they frequently have poor sensitivity in finding low-abundant proteins and are timeconsuming (Kalita et al, 2020). Parallel advances in sample preparation methods, MS technology, and data analysis have prompted a shift toward gel-free techniques that profile thousands of proteins in a relatively shorter time and with small sample volumes.…”

Section: Immunoproteomics As Novel Diagnostic and Prognostic Tool Pro...mentioning

confidence: 99%

“…MALDI-TOF based PMF revealed that these overexpressed proteins are involved in cell structure, cell cycle, signaling, and intermediary metabolism. Kalita et al (2020) reviewed the application of 2DE-PMF in DM-associated organs and tissues, such as the pancreas ( Ahmed et al, 2005 ), liver, skeletal muscle ( Højlund et al, 2008 ), and adipose tissue secretome ( Alvarez-Llamas et al, 2007 ). Liew et al (2015) compared host immune response and S. aureus exoproteome in SSTI, bacteremia, and healthy carriage using 2-DGE, 2D-immunoblotting, and MS/MS (MS2).…”

Section: Immunoproteomics As Novel Diagnostic and Prognostic Toolmentioning

confidence: 99%

“…While it is true that gel-based techniques were the foundation of the early proteomic research in DM, they frequently have poor sensitivity in finding low-abundant proteins and are time-consuming ( Kalita et al, 2020 ). Parallel advances in sample preparation methods, MS technology, and data analysis have prompted a shift toward gel-free techniques that profile thousands of proteins in a relatively shorter time and with small sample volumes.…”

Section: Immunoproteomics As Novel Diagnostic and Prognostic Toolmentioning

confidence: 99%

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The role of pathogens in diabetes pathogenesis and the potential of immunoproteomics as a diagnostic and prognostic tool

et al. 2022

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Diabetes mellitus (DM) is a group of metabolic diseases marked by hyperglycemia, which increases the risk of systemic infections. DM patients are at greater risk of hospitalization and mortality from bacterial, viral, and fungal infections. Poor glycemic control can result in skin, blood, bone, urinary, gastrointestinal, and respiratory tract infections and recurrent infections. Therefore, the evidence that infections play a critical role in DM progression and the hazard ratio for a person with DM dying from any infection is higher. Early diagnosis and better glycemic control can help prevent infections and improve treatment outcomes. Perhaps, half (49.7%) of the people living with DM are undiagnosed, resulting in a higher frequency of infections induced by the hyperglycemic milieu that favors immune dysfunction. Novel diagnostic and therapeutic markers for glycemic control and infection prevention are desirable. High-throughput blood-based immunoassays that screen infections and hyperglycemia are required to guide timely interventions and efficiently monitor treatment responses. The present review aims to collect information on the most common infections associated with DM, their origin, pathogenesis, and the potential of immunoproteomics assays in the early diagnosis of the infections. While infections are common in DM, their role in glycemic control and disease pathogenesis is poorly described. Nevertheless, more research is required to identify novel diagnostic and prognostic markers to understand DM pathogenesis and management of infections. Precise monitoring of diabetic infections by immunoproteomics may provide novel insights into disease pathogenesis and healthy prognosis.

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Section: Immunoproteomics As Novel Diagnostic and Prognostic Tool Pro...mentioning

confidence: 99%

Section: Immunoproteomics As Novel Diagnostic and Prognostic Toolmentioning

confidence: 99%

Section: Immunoproteomics As Novel Diagnostic and Prognostic Toolmentioning

confidence: 99%

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The role of pathogens in diabetes pathogenesis and the potential of immunoproteomics as a diagnostic and prognostic tool

et al. 2022

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“…A liver-targeted biased agonist of the insulin receptor could therefore be transformational. The plausibility of such analogs has been suggested by phosphoproteomic analysis of insulin signaling [ 226 , 227 ]. Receptor-targeted phage display peptides, for example, bind at or near insulin's native receptor-binding sites but stimulate a distinct pattern of signaling outputs [ [228] , [229] , [230] ].…”

Section: Next-generation Insulin Analogsmentioning

confidence: 99%

Structural principles of insulin formulation and analog design: A century of innovation

Jarosinski

Dhayalan

Chen

et al. 2021

Molecular Metabolism

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Background The discovery of insulin in 1921 and its near-immediate clinical use initiated a century of innovation. Advances extended across a broad front, from the stabilization of animal insulin formulations to the frontiers of synthetic peptide chemistry, and in turn, from the advent of recombinant DNA manufacturing to structure-based protein analog design. In each case, a creative interplay was observed between pharmaceutical applications and then-emerging principles of protein science; indeed, translational objectives contributed to a growing molecular understanding of protein structure, aggregation and misfolding. Scope of review Pioneering crystallographic analyses—beginning with Hodgkin's solving of the 2-Zn insulin hexamer—elucidated general features of protein self-assembly, including zinc coordination and the allosteric transmission of conformational change. Crystallization of insulin was exploited both as a step in manufacturing and as a means of obtaining protracted action. Forty years ago, the confluence of recombinant human insulin with techniques for site-directed mutagenesis initiated the present era of insulin analogs. Variant or modified insulins were developed that exhibit improved prandial or basal pharmacokinetic (PK) properties. Encouraged by clinical trials demonstrating the long-term importance of glycemic control, regimens based on such analogs sought to resemble daily patterns of endogenous β-cell secretion more closely, ideally with reduced risk of hypoglycemia. Major conclusions Next-generation insulin analog design seeks to explore new frontiers, including glucose-responsive insulins, organ-selective analogs and biased agonists tailored to address yet-unmet clinical needs. In the coming decade, we envision ever more powerful scientific synergies at the interface of structural biology, molecular physiology and therapeutics.

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“…These high abundant proteins mask the identification of low abundant proteins, which are potential biomarkers [1–5]. Various surface chemistry of stationary phases (IEC, affinity chromatography, hydrophobic interaction chromatography, HILIC) and modes of chromatography (elution, displacement, and frontal) are extensively used to remove the high and middle abundant proteins and expose the low abundant proteins [6–12]. During the last decade, researchers explored the potential to multiplex different ligand immobilized monolith disks into a single device and studied to enrich proteins from various biological samples [13–16].…”

Section: Introductionmentioning

confidence: 99%

A conjoint multi metal‐ion iminodiacetic acid monolith microfluidic chip for structural‐based protein pre‐fractionation

et al. 2021

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PDMS‐based multichannel microfluidic chip was designed and fabricated in a simple approach using readily available tools. UV‐initiated in situ polymerization of poly(2‐hydroxy ethyl methacrylate‐co‐di(ethylene glycol) diacrylate‐co‐N,Nʹ‐diallyl l‐tartardiamide) in an Eppendorf tube was achieved within 40 min. This polymerization process was successfully translated to a microfluidic chip format without any further modifications. Iminodiacetic acid was successfully immobilized on aldehyde functional monoliths via Schiff base reaction and confirmed by FT‐IR spectroscopy. Four transition metal ions (Co (II), Zn (II), Ni (II), and Cu (II)) were chelated individually on four IDA‐monolith microfluidic chips. The conjoint metal‐ion monolith microfluidic chip has displayed high permeability (9.40 × 10–13 m2) and a porosity of 32.8%. This affinity microfluidic chip has pre‐fractioned four human plasma proteins (fibrinogen, immunoglobulin, transferrin, and human serum albumin) based on their surface‐exposed histidine surface topography. A protein recovery of approximately 95% (Bradford assay data) was achieved. The multimonolith microchip can be reusable even after three protein adsorption‐desorption cycles.

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Application of mass spectrometry based proteomics to understand diabetes: A special focus on interactomics

Cited by 10 publications

References 131 publications

The role of pathogens in diabetes pathogenesis and the potential of immunoproteomics as a diagnostic and prognostic tool

The role of pathogens in diabetes pathogenesis and the potential of immunoproteomics as a diagnostic and prognostic tool

Structural principles of insulin formulation and analog design: A century of innovation

A conjoint multi metal‐ion iminodiacetic acid monolith microfluidic chip for structural‐based protein pre‐fractionation

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