Literature DB >> 32482979

Metabolomic Profiling for Diagnosis and Prognostication in Surgery: A Scoping Review.

Tabassum A Khan1, Tyler J Loftus1, Amanda C Filiberto1, Tezcan Ozrazgat-Baslanti2,3, Matthew M Ruppert2, Sabyasachi Bandyopadhyay2,3, Evagelia C Laiakis4,5, Dean J Arnaoutakis1, Azra Bihorac2,3.   

Abstract

OBJECTIVE: This review assimilates and critically evaluates available literature regarding the use of metabolomic profiling in surgical decision-making.
BACKGROUND: Metabolomic profiling is performed by nuclear magnetic resonance spectroscopy or mass spectrometry of biofluids and tissues to quantify biomarkers (ie, sugars, amino acids, and lipids), producing diagnostic and prognostic information that has been applied among patients with cardiovascular disease, inflammatory bowel disease, cancer, and solid organ transplants.
METHODS: PubMed was searched from 1995 to 2019 to identify studies investigating metabolomic profiling of surgical patients. Articles were included and assimilated into relevant categories per PRISMA-ScR guidelines. Results were summarized with descriptive analytical methods.
RESULTS: Forty-seven studies were included, most of which were retrospective studies with small sample sizes using various combinations of analytic techniques and types of biofluids and tissues. Results suggest that metabolomic profiling has the potential to effectively screen for surgical diseases, suggest diagnoses, and predict outcomes such as postoperative complications and disease recurrence. Major barriers to clinical adoption include a lack of high-level evidence from prospective studies, heterogeneity in study design regarding tissue and biofluid procurement and analytical methods, and the absence of large, multicenter metabolome databases to facilitate systematic investigation of the efficacy, reproducibility, and generalizability of metabolomic profiling diagnoses and prognoses.
CONCLUSIONS: Metabolomic profiling research would benefit from standardization of study design and analytic approaches. As technologies improve and knowledge garnered from research accumulates, metabolomic profiling has the potential to provide personalized diagnostic and prognostic information to support surgical decision-making from preoperative to postdischarge phases of care.
Copyright © 2020 Wolters Kluwer Health, Inc. All rights reserved.

Entities:  

Mesh:

Year:  2021        PMID: 32482979      PMCID: PMC7704904          DOI: 10.1097/SLA.0000000000003935

Source DB:  PubMed          Journal:  Ann Surg        ISSN: 0003-4932            Impact factor:   13.787


  75 in total

1.  A new dimension of 1H-NMR spectroscopy in assessment of liver graft dysfunction.

Authors:  H K Singh; S K Yachha; Rajan Saxena; Ashish Gupta; G A Nagana Gowda; M Bhandari; C L Khetrapal
Journal:  NMR Biomed       Date:  2003-06       Impact factor: 4.044

2.  1H NMR spectroscopic study of blood serum for the assessment of liver function in liver transplant patients.

Authors:  Pratima Tripathi; Lakshmi Bala; Rajan Saxena; S K Yachha; Raja Roy; C L Khetrapal
Journal:  J Gastrointestin Liver Dis       Date:  2009-09       Impact factor: 2.008

Review 3.  Response to trauma and metabolic changes: posttraumatic metabolism.

Authors:  Turgay Şimşek; Hayal Uzelli Şimşek; Nuh Zafer Cantürk
Journal:  Ulus Cerrahi Derg       Date:  2014-09-01

4.  A Distinctive Urinary Metabolomic Fingerprint Is Linked With Endoscopic Postoperative Disease Recurrence in Crohn's Disease Patients.

Authors:  Ammar Hassanzadeh Keshteli; Robert Tso; Levinus A Dieleman; Heekuk Park; Karen I Kroeker; Juan Jovel; Patrick M Gillevet; Masoumeh Sikaroodi; Rupasri Mandal; Richard N Fedorak; Karen L Madsen
Journal:  Inflamm Bowel Dis       Date:  2018-03-19       Impact factor: 5.325

5.  Towards a Personalized Approach in Pancreatic Cancer Diagnostics Through Plasma Amino Acid Analysis.

Authors:  Jaroslav Tumas; Inga Baskirova; Tomas Petrenas; Jolita Norkuniene; Kestutis Strupas; Audrius Sileikis
Journal:  Anticancer Res       Date:  2019-04       Impact factor: 2.480

6.  Pancreatic ductal adenocarcinoma is associated with a distinct urinary metabolomic signature.

Authors:  Vanessa W Davis; Daniel E Schiller; Dean Eurich; Oliver F Bathe; Michael B Sawyer
Journal:  Ann Surg Oncol       Date:  2012-10-25       Impact factor: 5.344

7.  Metabolomics signature improves the prediction of cardiovascular events in elderly subjects.

Authors:  S Rizza; M Copetti; C Rossi; M A Cianfarani; M Zucchelli; A Luzi; C Pecchioli; O Porzio; G Di Cola; A Urbani; F Pellegrini; M Federici
Journal:  Atherosclerosis       Date:  2013-11-18       Impact factor: 5.162

8.  Identification of Lysophosphatidylcholines and Sphingolipids as Potential Biomarkers for Acute Aortic Dissection via Serum Metabolomics.

Authors:  Xiushi Zhou; Renping Wang; Tian Zhang; Fei Liu; Wei Zhang; Guili Wang; Guorong Gu; Qinqi Han; Demin Xu; Chenling Yao; Daqiao Guo; Weiguo Fu; Yunpeng Qi; Lixin Wang
Journal:  Eur J Vasc Endovasc Surg       Date:  2018-08-04       Impact factor: 7.069

Review 9.  Dysbiotic events in gut microbiota: impact on human health.

Authors:  Serena Schippa; Maria Pia Conte
Journal:  Nutrients       Date:  2014-12-11       Impact factor: 5.717

Review 10.  Next-generation metabolomics in lung cancer diagnosis, treatment and precision medicine: mini review.

Authors:  Li Yu; Kefeng Li; Xiaoye Zhang
Journal:  Oncotarget       Date:  2017-11-11
View more
  2 in total

1.  Plasma metabolomic profiling of hypertrophic cardiomyopathy patients before and after surgical myectomy suggests postoperative improvement in metabolic function.

Authors:  Nicole L Wolter; Madison J LeClair; Michael T Chin
Journal:  BMC Cardiovasc Disord       Date:  2021-12-28       Impact factor: 2.298

2.  Untargeted Metabolomic Profiling of Cuprizone-Induced Demyelination in Mouse Corpus Callosum by UPLC-Orbitrap/MS Reveals Potential Metabolic Biomarkers of CNS Demyelination Disorders.

Authors:  Zhijie Zhao; Tongqi Li; Xiaohua Dong; Xiaojing Wang; Zhongxiao Zhang; Changyi Zhao; Xueran Kang; Ruizhe Zheng; Xinyuan Li
Journal:  Oxid Med Cell Longev       Date:  2021-09-14       Impact factor: 6.543

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.