Analysis of Spatiotemporal Urine Protein Dynamics to Identify New Biomarkers for Sepsis-Induced Acute Kidney Injury

Li, Yiming; Long, Junke; Chen, Jiaquan; Zhang, Jing; Yi, Qiu; Zhong, Yanjun; Liu, Fen; Peng, Zhiyong

doi:10.3389/fphys.2020.00139

Cited by 7 publications

(8 citation statements)

References 44 publications

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“…Thus, it appears that despite the limitations, plasma is the most relevant biological sample for the identification of early sepsis biomarkers ( 141 ). However, it is likely that the future of predicting the onset of AKI will entail the combination of multiple proteomics analyses of samples from urine, plasma (rather than serum), and tissue ( 142 ), because any alteration in the release of a given protein and the abundance of such a protein in a given environment could reflect a pathological state. For example, a study on the temporal profile of renal proteome changes induced by sepsis highlighted that ceruloplasmin (CR) and haptoglobin (Hp) are upregulated 90 min after the onset of sepsis.…”

Section: Mass Spectrometry Characterization Applied To Infectious Dis...mentioning

confidence: 99%

Proteomic Approaches to Unravel Mechanisms of Antibiotic Resistance and Immune Evasion of Bacterial Pathogens

et al. 2022

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The profound effects of and distress caused by the global COVID-19 pandemic highlighted what has been known in the health sciences a long time ago: that bacteria, fungi, viruses, and parasites continue to present a major threat to human health. Infectious diseases remain the leading cause of death worldwide, with antibiotic resistance increasing exponentially due to a lack of new treatments. In addition to this, many pathogens share the common trait of having the ability to modulate, and escape from, the host immune response. The challenge in medical microbiology is to develop and apply new experimental approaches that allow for the identification of both the microbe and its drug susceptibility profile in a time-sensitive manner, as well as to elucidate their molecular mechanisms of survival and immunomodulation. Over the last three decades, proteomics has contributed to a better understanding of the underlying molecular mechanisms responsible for microbial drug resistance and pathogenicity. Proteomics has gained new momentum as a result of recent advances in mass spectrometry. Indeed, mass spectrometry-based biomedical research has been made possible thanks to technological advances in instrumentation capability and the continuous improvement of sample processing and workflows. For example, high-throughput applications such as SWATH or Trapped ion mobility enable the identification of thousands of proteins in a matter of minutes. This type of rapid, in-depth analysis, combined with other advanced, supportive applications such as data processing and artificial intelligence, presents a unique opportunity to translate knowledge-based findings into measurable impacts like new antimicrobial biomarkers and drug targets. In relation to the Research Topic “Proteomic Approaches to Unravel Mechanisms of Resistance and Immune Evasion of Bacterial Pathogens,” this review specifically seeks to highlight the synergies between the powerful fields of modern proteomics and microbiology, as well as bridging translational opportunities from biomedical research to clinical practice.

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Section: Mass Spectrometry Characterization Applied To Infectious Dis...mentioning

confidence: 99%

Proteomic Approaches to Unravel Mechanisms of Antibiotic Resistance and Immune Evasion of Bacterial Pathogens

et al. 2022

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“…Exosomes are membrane vesicles found in many biological fluids (such as blood or urine) that transmit signals between cells [ 23 ]. In the urine, the number of exosomes and extracellular vesicles increases continuously between 6 and 48 hours after induction of sepsis, suggesting that they could be potentially involved in this pathology [ 24 ]. It has been shown that exosomes play a role in sepsis through the interaction of various compounds released by the septic condition on membrane receptors.…”

Section: Mass Spectrometry For the Identification Of Sepsis Biomarmentioning

confidence: 99%

“…Among these targets, the acidic nucleic protein deglycase DJ-1 (PARK7) and cadherin 16 (CDH16) were found in samples from both models. This study also showed that the diagnostic sensitivities and specificities of PARK7 and CDH16 were greater than that of neutrophil gelatinase-associated lipocalin (NGAL), which is currently used to diagnose AKI [ 24 ]. Thus, these two proteins could potentially be considered as early biomarkers of sepsis-induced AKI.…”

Section: Mass Spectrometry For the Identification Of Sepsis Biomarmentioning

confidence: 99%

New Approaches to Identify Sepsis Biomarkers: The Importance of Model and Sample Source for Mass Spectrometry

Blangy-Letheule

Persello

Rozec

et al. 2020

Oxidative Medicine and Cellular Longevity

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Septic shock is a systemic inflammatory response syndrome associated with circulatory failure leading to organ failure with a 40% mortality rate. Early diagnosis and prognosis of septic shock are necessary for specific and timely treatment. However, no predictive biomarker is available. In recent years, improvements in proteomics-based mass spectrometry have improved the detection of such biomarkers. This approach can be performed on different samples such as tissue or biological fluids. Working directly from human samples is complicated owing to interindividual variability. Indeed, patients are admitted at different stages of disease development and with signs of varying severity from one patient to another. All of these elements interfere with the identification of early, sensitive, and specific septic shock biomarkers. For these reasons, animal models of sepsis, although imperfect, are used to control the kinetics of the development of the pathology and to standardise experimentation, facilitating the identification of potential biomarkers. These elements underline the importance of the choice of animal model used and the sample to be studied during preclinical studies. The aim of this review is to discuss the relevance of different approaches to enable the identification of biomarkers that could indirectly be relevant to the clinical setting.

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“…Massspectrometry-based proteomic analysis has been being a powerful screeningtool for the early detection of renal function and cancer-related biomarkers.Thisanalysishas been successfully utilized to identify protein biomarkers from body uids [12][13][14]. Unlike blood samples, urinecould be collected non-invasively and timely, moreover, urinecould better re ect the changes in the human body.Besides, the protein compositions of urinesamples are relatively simple, stable,and easier to analysis [15].…”

Section: Introductionmentioning

confidence: 99%

Urine Myoglobin is Associated with Different Severities and Depths for Burn Patients

Zhao

Wang

et al. 2022

Preprint

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Backgrounds It is important to make reasonable clinical decision based on precise burn depth for burn specialists. However, the identification of burn depth based upon clinical assessment was not accurate. It still needs more biomarkers to rapidly distinguish different depths for burn specialists. The potential value of urine myoglobin (UM) is still unknown in burn patients. Patients and methods The urine of 30 burn patients and 10 Healthy volunteers (Discover set) were collected from January 2017 to December 2020. Urine proteomics of all samples was identified by Label-free mass spectrometry and functional analysis for differential expression proteins (DEPs) was also analyzed. The Receiver Operating Characteristic curve to evaluate the value of UM from another 67 burn patients (Validation set). Results A total of 8253 peptides and 1465 proteins were identified in four groups. For severe burn patients, 402 DEPs (279 up-regulated and 123 down-regulated) were identified and functional analysis demonstrated that neutrophil-mediated immunity, response to stimulus, and complement and coagulation cascades pathway were the most enrichment function. UM had significant differences in burn patients with different severities and depths (Discover and Validation set; P<0.05). UM as a novel biomarker could rapidly distinguish different depths for burn patients (Discover set, AUC=0.8203, 95%CI: 0.6448~0.9957; Validation set, AUC=0.7393, 95%CI: 0.618~0.8606). Conclusion The urine DEPs were mainly identified in the severe group. UM might as a novel biomarker help burn specialists to rapidly determine different depths for burn patients.

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Analysis of Spatiotemporal Urine Protein Dynamics to Identify New Biomarkers for Sepsis-Induced Acute Kidney Injury

Cited by 7 publications

References 44 publications

Proteomic Approaches to Unravel Mechanisms of Antibiotic Resistance and Immune Evasion of Bacterial Pathogens

Proteomic Approaches to Unravel Mechanisms of Antibiotic Resistance and Immune Evasion of Bacterial Pathogens

New Approaches to Identify Sepsis Biomarkers: The Importance of Model and Sample Source for Mass Spectrometry

Urine Myoglobin is Associated with Different Severities and Depths for Burn Patients

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