scholarly journals Lipidomic profiling of human serum enables detection of pancreatic cancer

2022 ◽  
Vol 13 (1) ◽  
Author(s):  
Denise Wolrab ◽  
Robert Jirásko ◽  
Eva Cífková ◽  
Marcus Höring ◽  
Ding Mei ◽  
...  

AbstractPancreatic cancer has the worst prognosis among all cancers. Cancer screening of body fluids may improve the survival time prognosis of patients, who are often diagnosed too late at an incurable stage. Several studies report the dysregulation of lipid metabolism in tumor cells, suggesting that changes in the blood lipidome may accompany tumor growth. Here we show that the comprehensive mass spectrometric determination of a wide range of serum lipids reveals statistically significant differences between pancreatic cancer patients and healthy controls, as visualized by multivariate data analysis. Three phases of biomarker discovery research (discovery, qualification, and verification) are applied for 830 samples in total, which shows the dysregulation of some very long chain sphingomyelins, ceramides, and (lyso)phosphatidylcholines. The sensitivity and specificity to diagnose pancreatic cancer are over 90%, which outperforms CA 19-9, especially at an early stage, and is comparable to established diagnostic imaging methods. Furthermore, selected lipid species indicate a potential as prognostic biomarkers.

2021 ◽  
Author(s):  
Denise Wolrab ◽  
Robert Jirásko ◽  
Eva Cífková ◽  
Marcus Höring ◽  
Ding Mei ◽  
...  

Pancreatic cancer has the worst prognosis among all cancers1. Cancer screening programs based on the analysis of body fluids can improve the survival time of patients, who are often diagnosed too late at an incurable stage2. Several studies have reported the dysregulation of lipid metabolism in tumor cells and tissues3, suggesting that the changes of blood lipidome may accompany tumor growth and progression. Analytical methods based on mass spectrometry (MS) using either direct infusion or chromatographic separation4 are convenient for high-throughput lipidomic profiling. Here we show that the comprehensive quantitation of a wide range of serum lipids reveals statistically significant differences between pancreatic cancer patients and healthy controls visualized by multivariate data analysis. Initial results for 364 human serum samples in the discovery phase were subsequently verified in the qualification phase on 554 samples measured by three independent laboratories, and finally on 830 samples from four blood collection sites in the verification phase. Concentrations suggestive of dysregulation of some very long chain sphingomyelins (SM 42:1, SM 41:1, SM 39:1, and SM 40:1), ceramides (Cer 41:1, and Cer 42:1), and (lyso)phosphatidylcholines (LPC 18:2) were recorded. Some lipid species indicated a potential as biomarkers of survival. The sensitivity and specificity to diagnose pancreatic cancer is over 90%, which outperforms CA 19-9, especially in early stage, and is comparable to established imaging diagnostic methods. The accuracy of lipidomic approach is not influenced by the cancer stage, analytical method, or blood collection site.


2021 ◽  
Author(s):  
Nelli Maksymovych ◽  
Ludmila Oleksenko ◽  
George Fedorenko

The paper is devoted for a solution of indoors fires prevention at early stage by determination of H2 (fire precursor gas) in air using a semiconductor sensor. A material based on Pt-containing nanosized tin dioxide with an average particle size of 10–11 nm obtained via a sol–gel method was created for a gas sensitive layer of the sensor. The developed sensor has high sensitivity to H2 micro concentration, a wide range of its detectable content in air, selectivity of H2 measuring in the presence of СО and СН4, good dynamic properties. The combination of these properties is very important for prevention of inflammations on their early stages before the open fires appearance. Economic benefit of the proposed sensor is due to a lower cost and higher reliability of the fire situation detection.


2017 ◽  
Vol 15 (1) ◽  
pp. 21
Author(s):  
Haryo Suganda ◽  
Raja Muhammad Amin

This study is motivated the identification of policies issued by the regional Governmentof Rokan Hulu in the form of Regulatory region number 1 by 2015 on the determination of thevillage and Indigenous Village. Political dynamics based on various interests against themanufacture of, and decision-making in the process of formation of the corresponding localregulations determination of Indigenous Villages in the Rokan Hulu is impacted to a verysignificantamount of changes from the initial draft of the number i.e. 21 (twenty one) the villagebecame Customary 89 (eighty-nine) the Indigenous Villages who have passed. Type of thisresearch is a qualitative descriptive data analysis techniques. The research aims to describe theState of the real situation in a systematic and accurate fact analysis unit or related research, aswell as observations of the field based on the data (information). Method of data collectionwas done with interviews, documentation, and observations through fieldwork (field research).The results of the research on the process of discussion of the draft local regulations andmutual agreement about Designation of Indigenous Villages in the Rokan Hulu is, showed thatthe political dynamics that occur due to the presence of various political interests, rejectionorally by Villagers who were judged to have met the requirements of Draft Regulations to beformulated and the area for the set to be Indigenous Villages, and also there is a desire fromsome villages in the yet to Draft local regulations in order to set the Indigenous village , there isa wide range of interests of these aspects influenced the agreement to assign the entire localVillage which is in the Rokan Hulu become Indigenous village, and the village of Transmigrationinto administrative Villages where the initiator of the changes in the number of IndigenousVillages in the Rokan Hulu it is the desire of the local Government of its own.


2020 ◽  
Vol 14 ◽  
Author(s):  
Subhajit Makar ◽  
Abhrajyoti Ghosh ◽  
Divya ◽  
Shalini Shivhare ◽  
Ashok Kumar ◽  
...  

: Despite advances in the development of cytotoxic and targeted therapies, pancreatic adenocarcinoma (PAC) remains a significant cause of cancer mortality worldwide. It is also difficult to detect it at an early stage due to numbers of factors. Most of the patients are present with locally advanced or metastatic disease, which precludes curative resection. In the absence of effective screening methods, considerable efforts have been made to identify better systemic treatments during the past decade. This review describes the recent advances in molecular mechanisms involved in pancreatic cancer initiation, progression, and metastasis. Additionally, the importance of deregulated cellular signalling pathways and various cellular proteins as potential targets for developing novel therapeutic strategies against incurable forms of pancreatic cancer is reported. The emphasis is on the critical functions associated with growth factors and their receptors viz. c-MET/HGF, CTHRC1, TGF-β, JAK-STAT, cyclooxygenase pathway, WNT, CCK, MAPK-RAS-RAF, PI3K-AKT, Notch, src, IGF-1R, CDK2NA and chromatin regulation for the sustained growth, survival, and metastasis of pancreatic cancer cells. It also includes various therapeutic strategies viz. immunotherapy, surgical therapy, radiation therapy and chemotherapy.


Micromachines ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 72 ◽  
Author(s):  
Da-Quan Yang ◽  
Bing Duan ◽  
Xiao Liu ◽  
Ai-Qiang Wang ◽  
Xiao-Gang Li ◽  
...  

The ability to detect nanoscale objects is particular crucial for a wide range of applications, such as environmental protection, early-stage disease diagnosis and drug discovery. Photonic crystal nanobeam cavity (PCNC) sensors have attracted great attention due to high-quality factors and small-mode volumes (Q/V) and good on-chip integrability with optical waveguides/circuits. In this review, we focus on nanoscale optical sensing based on PCNC sensors, including ultrahigh figure of merit (FOM) sensing, single nanoparticle trapping, label-free molecule detection and an integrated sensor array for multiplexed sensing. We believe that the PCNC sensors featuring ultracompact footprint, high monolithic integration capability, fast response and ultrahigh sensitivity sensing ability, etc., will provide a promising platform for further developing lab-on-a-chip devices for biosensing and other functionalities.


1995 ◽  
Vol 269 (2) ◽  
pp. E247-E252 ◽  
Author(s):  
H. O. Ajie ◽  
M. J. Connor ◽  
W. N. Lee ◽  
S. Bassilian ◽  
E. A. Bergner ◽  
...  

To determine the contributions of preexisting fatty acid, de novo synthesis, and chain elongation in long-chain fatty acid (LCFA) synthesis, the synthesis of LCFAs, palmitate (16:0), stearate (18:0), arachidate (20:0), behenate (22:0), and lignocerate (24:0), in the epidermis, liver, and spinal cord was determined using deuterated water and mass isotopomer distribution analysis in hairless mice and Sprague-Dawley rats. Animals were given 4% deuterated water for 5 days or 8 wk in their drinking water. Blood was withdrawn at the end of these times for the determination of deuterium enrichment, and the animals were killed to isolate the various tissues for lipid extraction for the determination of the mass isotopomer distributions. The mass isotopomer distributions in LCFA were incompatible with synthesis from a single pool of primer. The synthesis of palmitate, stearate, arachidate, behenate, and lignocerate followed the expected biochemical pathways for the synthesis of LCFAs. On average, three deuterium atoms were incorporated for every addition of an acetyl unit. The isotopomer distribution resulting from chain elongation and de novo synthesis can be described by the linear combination of two binomial distributions. The proportions of preexisting, chain elongation, and de novo-synthesized fatty acids as a percentage of the total fatty acids were determined using multiple linear regression analysis. Fractional synthesis was found to vary, depending on the tissue type and the fatty acid, from 47 to 87%. A substantial fraction (24-40%) of the newly synthesized molecules was derived from chain elongation of unlabeled (recycled) palmitate.


Life ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 224
Author(s):  
Jaehyun Bae ◽  
Young Jun Won ◽  
Byung-Wan Lee

Diabetic kidney disease (DKD) is one of the most common forms of chronic kidney disease. Its pathogenic mechanism is complex, and it can affect entire structures of the kidney. However, conventional approaches to early stage DKD have focused on changes to the glomerulus. Current standard screening tools for DKD, albuminuria, and estimated glomerular filtration rate are insufficient to reflect early tubular injury. Therefore, many tubular biomarkers have been suggested. Non-albumin proteinuria (NAP) contains a wide range of tubular biomarkers and is convenient to measure. We reviewed the clinical meanings of NAP and its significance as a marker for early stage DKD.


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