Proteomic study provides new clues for complications of hemodialysis caused by dialysis membrane

Yang, Kaiguang; Liu, Jianhui; Jian, Sun; Zhou, Yuan; Zhao, Qun; Li, Senwu; Liu, Lukuan; Zhang, Lihua; Zhao, Jiuyang; Zhang, Yukui

doi:10.1016/j.scib.2017.08.026

Cited by 7 publications

(6 citation statements)

References 21 publications

(26 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Tryptic peptides from pre-HD and post-HD samples were labeled with Cd 2 O and NaCNBH 3 (heavy labeling, 32H) and with 13 Cd 2 O and NaCNBD 3 (light labeling, 32L), respectively [ 19 , 20 ]. Then, the mixture of labeled peptides was stored at 4 °C until subsequent use.…”

Section: Methodsmentioning

confidence: 99%

Proteomics investigation of the changes in serum proteins after high- and low-flux hemodialysis

et al. 2018

Self Cite

View full text Add to dashboard Cite

Purpose: This study aimed to use proteomics methods to investigate the changes in serum protein levels after high- and low-flux hemodialysis (HD).Methods: Before and after HD, serum samples were obtained from two selected patients who were treated with a Polyflux 140 H high-flux dialyzer and a Polyflux 14 L low-flux dialyzer during two continuous therapy sessions. Liquid chromatography-tandem mass spectrometry (LC-MS/MS) was performed to identify the proteins.Results: A total of 212 and 203 serum proteins were identified after high-flux and low-flux HD, respectively. After high-flux HD, 21 proteins increased, and 132 proteins decreased. After low-flux HD, 87 proteins increased, and 45 proteins decreased. High-flux HD led to a significantly greater reduction in protein levels than low-flux HD (0.73 ± 0.13 vs. 0.84 ± 0.18, p = .00). Among the increased and decreased proteins, the isoelectric point (pI) values mainly ranged from 5 to 7, and the molecular weights (Mws) were mostly smaller than 30 kDa. The serum proteins showed no difference in pI or Mw for high- and low-flux HD. Gene ontology (GO) analysis showed that the detected proteins were related to immune system processes and complement activation.Conclusions: Serum protein levels differentially changed after high- and low-flux HD. Long-term effects should be observed in future studies.

show abstract

Section: Methodsmentioning

confidence: 99%

Proteomics investigation of the changes in serum proteins after high- and low-flux hemodialysis

et al. 2018

Self Cite

View full text Add to dashboard Cite

show abstract

“…Proteomics is the large-scale analysis of proteins stemming from cells, tissues, or organisms. Proteomic technologies have advanced intriguing applications in drug delivery, cancer research, and biomarker identifications [30,31]. The separation and fractionation of complex protein samples are one of the key steps in proteomics.…”

Section: Protein Imprintingmentioning

confidence: 99%

Molecularly imprinted monoliths: Recent advances in the selective recognition of biomacromolecules related biomarkers

Song

Wang

2022

J of Separation Science

View full text Add to dashboard Cite

Biomarkers are significant indicators to assist the early diagnosis of diseases and assess the therapeutic response. However, due to the low abundance of biomarkers in complex biological fluids, it is highly desirable to explore efficient techniques to attain their selective recognition and capture before the detection. Molecularly imprinted monoliths integrate the high selectivity of imprinted polymers and the rapid convective mass transport of monoliths, and as a result, are promising candidates to achieve the specific enrichment of biomarkers from complex samples. This review summarizes the various imprinting approaches for the preparation of molecularly imprinted monoliths. The state‐of‐art advances as an effective platform for applications in the selective capture of biomacromolecules related biomarkers were also outlined.

show abstract

“…When the anticoagulation is insufficient or the technical operation is improper, the artificial kidney solidification ratio can be as high as 14% or above. During the hemodialysis treatment, both the artificial kidney and the pipelines should be observed at all times to see if there is any blood coagulation, especially in patients undergoing hemodialysis procedures without any anticoagulation [17, 18]. In addition to the waste of material costs (NTD 1885/unit) and the disposal costs of the derived medical waste, artificial kidney solidification interrupts the hemodialysis and affects the dialysis purification rate.…”

Section: Literature Reviewmentioning

confidence: 99%

An integrated model using the Taguchi method and artificial neural network to improve artificial kidney solidification parameters

Shie

Lin

et al. 2019

BioMed Eng OnLine

View full text Add to dashboard Cite

Background Hemodialysis mainly relies on the “artificial kidney,” which plays a very important role in temporarily or permanently substituting for the kidney to carry out the exchange of waste and discharge of water. Nevertheless, a previous study on the artificial kidney has paid little attention to the optimization of factors and levels for reducing the solidification of the artificial kidney during the hemodialysis procedure. Thus, this study proposes an integrated model that uses the Taguchi method, omega formula, and back-propagation network to determine the optimal factors and levels for addressing this issue. Methods First, we collected the recommendations of medical doctors and nursing staff through a small group discussion, and used the Taguchi method to analyze the key factors at different levels. Next, the omega formula was used to convert the analysis results from the Taguchi method to assess the defect rate. Finally, we utilized back-propagation network algorithms to predict the optimal factors and levels for artificial kidney solidification, in order to confirm that the key factors and levels identified can effectively improve the solidification rate of the artificial kidney and thereby enhance the effect of hemodialysis. Results The research finding proposes the following as the optimal factors and levels for artificial kidney solidification: the amount of anticoagulation should be set at 500 units, the velocity of blood flow at 300 ml/min, the dehydration volume at 2.5 kg, and the vascular access type as autologous blood vessels. We obtained 270 sets of data from the patients of End Stage Renal Disease (ESRD) under the setting of the optimal combination of the factors at different levels; the defect rate of artificial kidney solidification is 12.9%, which is better than the defect rate of 32% in the original experiment. Meanwhile, the patient characteristics for physiological status in BMI, serum calcium, hematocrit, ferritin, and transferrin saturation percentage are improved by this study. Conclusion This conclusion validates the ability of the proposed model in this study to improve the solidification rate of the artificial kidney, thereby confirming the model’s use as a standard operation procedure in the hemodialysis experiment. The ideas behind and the implications of the proposed model are further discussed in this study.

show abstract

Proteomic study provides new clues for complications of hemodialysis caused by dialysis membrane

Cited by 7 publications

References 21 publications

Proteomics investigation of the changes in serum proteins after high- and low-flux hemodialysis

Proteomics investigation of the changes in serum proteins after high- and low-flux hemodialysis

Molecularly imprinted monoliths: Recent advances in the selective recognition of biomacromolecules related biomarkers

An integrated model using the Taguchi method and artificial neural network to improve artificial kidney solidification parameters

Contact Info

Product

Resources

About