1
|
Louie L, Wise J, Berl A, Shir-az O, Kravtsov V, Yakhini Z, Shalom A, Golberg A, Vitkin E. High-Throughput Metabolomic Profiling of Skin Lesions: Comparative Study of Cutaneous Squamous Cell Carcinoma, Basal Cell Carcinoma, and Normal Skin Via e-Biopsy Sampling. Cell Mol Bioeng 2025; 18:185-195. [PMID: 40290108 PMCID: PMC12018666 DOI: 10.1007/s12195-025-00846-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2024] [Accepted: 03/25/2025] [Indexed: 04/30/2025] Open
Abstract
Purpose Rising rates of cutaneous squamous cell carcinoma (cSCC) and basal cell carcinoma (BCC) make standard histopathology diagnostic methods a bottleneck. Using tissue molecular information for diagnostics offers a promising alternative. Faster specimen collection and high-throughput molecular identification can improve the processing of the increasing number of tumors. This study aims (i) to confirm the ability of e-biopsy technique to harvest metabolites, (ii) to obtain high-resolution metabolomic profiles of cSCC, BCC, and healthy skin tissues, and (iii) to perform a comparative analysis of the collected profiles. Methods Tumor specimens were collected with electroporation-based biopsy (e-biopsy), a minimally invasive sampling collection tool, from 13 tissue samples (cSCC, BCC, and healthy skin) from 12 patients. Ultra performance liquid chromatography and tandem mass spectrometry (UPLC-MS-MS) was used for molecular identification and quantification of resulting metabolomic profiles. Results Here we report measurements of 2325 small metabolites identified (301 with high confidence) in 13 tissue samples from 12 patients. Comparative analysis identified 34 significantly (p < 0.05) differentially expressed high-confidence metabolites. Generally, we observed a greater number of metabolites with higher expression, in cSCC and in BCC compared to healthy tissues, belonging to the subclass amino acids, peptides, and analogues. Conclusions These findings confirm the ability of e-biopsy technique to obtain high-resolution metabolomic profiles suitable to downstream bioinformatics analysis. This highlights the potential of e-biopsy coupled with UPLC-MS-MS for rapid, high-throughput metabolomic profiling in skin cancers and supports its utility as a promising diagnostic alternative to standard histopathology. Supplementary Information The online version contains supplementary material available at 10.1007/s12195-025-00846-1.
Collapse
Affiliation(s)
- Leetal Louie
- School of Mechanical Engineering, Tel Aviv University, Tel Aviv, Israel
| | - Julia Wise
- School of Mechanical Engineering, Tel Aviv University, Tel Aviv, Israel
| | - Ariel Berl
- Department of Plastic Surgery, Meir Medical Center, Kfar Sava, Israel
| | - Ofir Shir-az
- Department of Plastic Surgery, Meir Medical Center, Kfar Sava, Israel
| | | | - Zohar Yakhini
- Arazi School of Computer Science, Reichman University, Herzliya, Israel
- Department of Computer Science, Technion - Israel Institute of Technology, Haifa, Israel
| | - Avshalom Shalom
- Department of Plastic Surgery, Meir Medical Center, Kfar Sava, Israel
| | - Alexander Golberg
- School of Mechanical Engineering, Tel Aviv University, Tel Aviv, Israel
| | - Edward Vitkin
- School of Mechanical Engineering, Tel Aviv University, Tel Aviv, Israel
- Arazi School of Computer Science, Reichman University, Herzliya, Israel
| |
Collapse
|
2
|
Louie L, Wise J, Berl A, Shir‐az O, Kravtsov V, Yakhini Z, Shalom A, Golberg A, Vitkin E. High-throughput lipidomic profiles sampled with electroporation-based biopsy differentiate healthy skin, cutaneous squamous cell carcinoma, and basal cell carcinoma. Skin Res Technol 2024; 30:e13706. [PMID: 38721854 PMCID: PMC11079884 DOI: 10.1111/srt.13706] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Accepted: 04/01/2024] [Indexed: 05/12/2024]
Abstract
BACKGROUND The incidence rates of cutaneous squamous cell carcinoma (cSCC) and basal cell carcinoma (BCC) skin cancers are rising, while the current diagnostic process is time-consuming. We describe the development of a novel approach to high-throughput sampling of tissue lipids using electroporation-based biopsy, termed e-biopsy. We report on the ability of the e-biopsy technique to harvest large amounts of lipids from human skin samples. MATERIALS AND METHODS Here, 168 lipids were reliably identified from 12 patients providing a total of 13 samples. The extracted lipids were profiled with ultra-performance liquid chromatography and tandem mass spectrometry (UPLC-MS-MS) providing cSCC, BCC, and healthy skin lipidomic profiles. RESULTS Comparative analysis identified 27 differentially expressed lipids (p < 0.05). The general profile trend is low diglycerides in both cSCC and BCC, high phospholipids in BCC, and high lyso-phospholipids in cSCC compared to healthy skin tissue samples. CONCLUSION The results contribute to the growing body of knowledge that can potentially lead to novel insights into these skin cancers and demonstrate the potential of the e-biopsy technique for the analysis of lipidomic profiles of human skin tissues.
Collapse
Affiliation(s)
- Leetal Louie
- Porter School of Environment and Earth SciencesTel Aviv UniversityTel AvivIsrael
| | - Julia Wise
- Porter School of Environment and Earth SciencesTel Aviv UniversityTel AvivIsrael
| | - Ariel Berl
- Department of Plastic SurgeryMeir Medical CenterKfar SavaIsrael
| | - Ofir Shir‐az
- Department of Plastic SurgeryMeir Medical CenterKfar SavaIsrael
| | | | - Zohar Yakhini
- Arazi School of Computer ScienceReichman UniversityHerzliyaIsrael
- Department of Computer ScienceTechnion ‐ Israel Institute of TechnologyHaifaIsrael
| | - Avshalom Shalom
- Department of Plastic SurgeryMeir Medical CenterKfar SavaIsrael
| | - Alexander Golberg
- Porter School of Environment and Earth SciencesTel Aviv UniversityTel AvivIsrael
| | - Edward Vitkin
- Porter School of Environment and Earth SciencesTel Aviv UniversityTel AvivIsrael
- Arazi School of Computer ScienceReichman UniversityHerzliyaIsrael
| |
Collapse
|
3
|
Ou-Yang XL, Zhang D, Wang XP, Yu SM, Xiao Z, Li W, Li CM. Nontargeted metabolomics to characterize the effects of isotretinoin on skin metabolism in rabbit with acne. Front Pharmacol 2022; 13:963472. [PMID: 36120319 PMCID: PMC9470959 DOI: 10.3389/fphar.2022.963472] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Accepted: 08/08/2022] [Indexed: 11/13/2022] Open
Abstract
Background: Acne vulgaris is a chronic inflammatory disease of the pilosebaceous unit. This study aimed to explore the pathogenesis of acne and the therapeutic mechanism of isotretinoin from the metabolic perspective in coal tar-induced acne in rabbits. Methods: Ultra-high performance liquid chromatography/quadrupole time-of-flight mass spectrometry (UHPLC-qTOF-MS) based metabolomics was used to identify skin metabolites in groups C (blank control), M (model group) and T (isotretinoin group). Multivariate statistical analysis was used to process the metabolomics data. Results: 98 differential metabolites in group C and group M were identified. The highest proportion of differential metabolites were organic acids and derivatives, lipid metabolites, organic heterocyclic compounds, and nucleoside metabolites. The most significant metabolic pathways included protein digestion and absorption, central carbon metabolism in cancer, ABC transporters, aminoacyl-tRNA biosynthesis, biosynthesis of amino acids, and sphingolipid signaling pathway. Isotretinoin treatment normalized eight of these metabolites. Conclusions: Our study will help to further elucidate the pathogenesis of acne, the mechanism of isotretinoin at the metabolite level, and identify new therapeutic targets for treating acne.
Collapse
Affiliation(s)
- Xiao-Liang Ou-Yang
- Department of Dermatology, The Second Affiliated Hospital of Nanchang University, Nanchang University, Nanchang, China
| | - Deng Zhang
- Department of Dermatology, The Second Affiliated Hospital of Nanchang University, Nanchang University, Nanchang, China
| | - Xiu-Ping Wang
- Department of Dermatology, The Second Affiliated Hospital of Nanchang University, Nanchang University, Nanchang, China
| | - Si-Min Yu
- Department of Dermatology, The Second Affiliated Hospital of Nanchang University, Nanchang University, Nanchang, China
| | - Zhen Xiao
- Department of Dermatology, Taiyuan Central Hospital of Shanxi Medical University, Shanxi Medical University, Taiyuan, China
| | - Wei Li
- Department of Plastic Surgery, The Second Affiliated Hospital of Nanchang University, Nanchang University, Nanchang, China
| | - Chun-Ming Li
- Department of Dermatology, The Second Affiliated Hospital of Nanchang University, Nanchang University, Nanchang, China
| |
Collapse
|
4
|
Paganelli A, Righi V, Tarentini E, Magnoni C. Current Knowledge in Skin Metabolomics: Updates from Literature Review. Int J Mol Sci 2022; 23:ijms23158776. [PMID: 35955911 PMCID: PMC9369191 DOI: 10.3390/ijms23158776] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 07/26/2022] [Accepted: 08/05/2022] [Indexed: 11/19/2022] Open
Abstract
Metabolomic profiling is an emerging field consisting of the measurement of metabolites in a biological system. Since metabolites can vary in relation to different stimuli, specific metabolic patterns can be closely related to a pathological process. In the dermatological setting, skin metabolomics can provide useful biomarkers for the diagnosis, prognosis, and therapy of cutaneous disorders. The main goal of the present review is to present a comprehensive overview of the published studies in skin metabolomics. A search for journal articles focused on skin metabolomics was conducted on the MEDLINE, EMBASE, Cochrane, and Scopus electronic databases. Only research articles with electronically available English full text were taken into consideration. Studies specifically focused on cutaneous microbiomes were also excluded from the present search. A total of 97 papers matched all the research criteria and were therefore considered for the present work. Most of the publications were focused on inflammatory dermatoses and immune-mediated cutaneous disorders. Skin oncology also turned out to be a relevant field in metabolomic research. Only a few papers were focused on infectious diseases and rarer genetic disorders. All the major metabolomic alterations published so far in the dermatological setting are described extensively in this review.
Collapse
Affiliation(s)
- Alessia Paganelli
- Clinical and Experimental Medicine Ph.D. Program, University of Modena and Reggio Emilia, 41124 Modena, Italy
- Regenerative and Oncological Dermatological Surgery Unit, Modena University Hospital, 41124 Modena, Italy
- Correspondence: ; Tel.: +39-059-4222347
| | - Valeria Righi
- Department for Life Quality Studies, University of Bologna, 47921 Rimini, Italy
| | - Elisabetta Tarentini
- Servizio Formazione, Ricerca e Innovazione, Modena University Hospital, 41124 Modena, Italy
| | - Cristina Magnoni
- Regenerative and Oncological Dermatological Surgery Unit, Modena University Hospital, 41124 Modena, Italy
| |
Collapse
|
5
|
Masutin V, Kersch C, Schmitz-Spanke S. A systematic review: metabolomics-based identification of altered metabolites and pathways in the skin caused by internal and external factors. Exp Dermatol 2022; 31:700-714. [PMID: 35030266 DOI: 10.1111/exd.14529] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Revised: 11/28/2021] [Accepted: 01/10/2022] [Indexed: 11/28/2022]
Abstract
The skin's ability to function optimally is affected by many diverse factors. Metabolomics has a great potential to improve our understanding of the underlying metabolic changes and the affected pathways. Therefore, the objective of this study was to review the current state of the literature and to perform further metabolic pathway analysis on the obtained data. The aim was to gain an overview of the metabolic changes under altered conditions and to identify common and different patterns as a function of the investigated factors. A cross-study comparison of the extracted studies from different databases identified 364 metabolites, whose concentrations were considerably altered by the following factor groups: irradiation, xenobiotics, aging, and skin diseases (mainly psoriasis). Using metabolic databases and pathway analysis tools the individual metabolites were assigned to the corresponding metabolic pathways and the most strongly affected signaling pathways were identified. All factors induced oxidative stress. Thus, antioxidant defense systems, especially coenzyme Q10 (aging) and the glutathione system (irradiation, aging, xenobiotics) were impacted. Lipid metabolism was also impacted by all factors studied. The carnitine shuttle as part of β-oxidation was activated by all factor groups except aging. Glycolysis, Krebs (TCA) cycle and purine metabolism were mainly affected by irradiation and xenobiotics. The pentose phosphate pathway was activated and Krebs cycle was downregulated in response to oxidative stress. In summary, it can be ascertained that mainly energy metabolism, lipid metabolism, antioxidative defense and DNA repair systems were impacted by the factors studied.
Collapse
Affiliation(s)
- Viktor Masutin
- Institute and Outpatient Clinic of Occupational, Social and Environmental Medicine, Friedrich-Alexander-University Erlangen-Nürnberg (FAU)
| | - Christian Kersch
- Institute and Outpatient Clinic of Occupational, Social and Environmental Medicine, Friedrich-Alexander-University Erlangen-Nürnberg (FAU)
| | - Simone Schmitz-Spanke
- Institute and Outpatient Clinic of Occupational, Social and Environmental Medicine, Friedrich-Alexander-University Erlangen-Nürnberg (FAU)
| |
Collapse
|
6
|
Elpa DP, Chiu HY, Wu SP, Urban PL. Skin Metabolomics. Trends Endocrinol Metab 2021; 32:66-75. [PMID: 33353809 DOI: 10.1016/j.tem.2020.11.009] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Revised: 11/15/2020] [Accepted: 11/20/2020] [Indexed: 12/11/2022]
Abstract
Skin retains numerous low-molecular-weight compounds (metabolites). Some of these compounds fulfill specific physiological roles, while others are by-products of metabolism. The skin surface can be sampled to detect and quantify skin metabolites related to diseases. Miniature probes have been developed to detect selected high-abundance metabolites secreted with sweat. To characterize a broad spectrum of skin metabolites, specimens are collected with one of several available methods, and the processed specimens are analyzed by chromatography, mass spectrometry (MS), or other techniques. Diseases for which skin-related biomarkers have been found include cystic fibrosis (CF), psoriasis, Parkinson's disease (PD), and lung cancer. To increase the clinical significance of skin metabolomics, it is desirable to verify correlations between metabolite levels in skin and other biological tissues/matrices.
Collapse
Affiliation(s)
- Decibel P Elpa
- Department of Applied Chemistry, National Chiao Tung University, 1001 University Road, Hsinchu, 300, Taiwan; Department of Chemistry, National Tsing Hua University, 101, Section 2, Kuang-Fu Road, Hsinchu, 30013, Taiwan
| | - Hsien-Yi Chiu
- Department of Dermatology, National Taiwan University Hospital Hsin-Chu Branch, 25 Jingguo Road, Hsinchu, 300, Taiwan; Department of Dermatology, National Taiwan University Hospital, 7 Chung Shan S. Road, Taipei, 100, Taiwan; Department of Dermatology, College of Medicine, National Taiwan University, 1 Jen Ai Road, Taipei, 100, Taiwan.
| | - Shu-Pao Wu
- Department of Applied Chemistry, National Chiao Tung University, 1001 University Road, Hsinchu, 300, Taiwan.
| | - Pawel L Urban
- Department of Chemistry, National Tsing Hua University, 101, Section 2, Kuang-Fu Road, Hsinchu, 30013, Taiwan; Frontier Research Center on Fundamental and Applied Sciences of Matters, National Tsing Hua University, 101, Section 2, Kuang-Fu Road, Hsinchu, 30013, Taiwan.
| |
Collapse
|
7
|
Metabolic Changes in Serum Metabolome of Beagle Dogs Fed Black Ginseng. Metabolites 2020; 10:metabo10120517. [PMID: 33352805 PMCID: PMC7765939 DOI: 10.3390/metabo10120517] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Revised: 12/16/2020] [Accepted: 12/17/2020] [Indexed: 11/17/2022] Open
Abstract
The effects of black ginseng, which has many kinds of biological activities, on dogs was investigated. Serum samples of beagle dogs, which were fed with black ginseng for 8 weeks, were measured using high-resolution magic angle spinning (HR-MAS) nuclear magnetic resonance (NMR) spectrometry. Acquired NMR data from the serum of dogs fed for 0, 4, and 8 weeks were analyzed by metabolic profiling and multivariate statistical analysis. In statistical analysis and biomarker analysis results of metabolite profiles, formate, glutamine, histidine, isoleucine, leucine, proline, and valine had variable importance in projection (VIP) scores above 1.0 and excellent area under the curve (AUC) values of receiver operating characteristic (ROC) curves above 0.9. In the result of multivariate statistical analysis, the score plot showed the discrimination between before and after feeding of black ginseng. These differences in metabolic profiles are considered to be due to the involvement of metabolic processes following black ginseng administration, such as enhancing immunity and energy metabolism. Through metabolomics analysis, we confirmed the biological efficacy of black ginseng in dogs and also confirmed that metabolomics can be applied to the pet health industry.
Collapse
|
8
|
Lian N, Shi LQ, Hao ZM, Chen M. Research progress and perspective in metabolism and metabolomics of psoriasis. Chin Med J (Engl) 2020; 133:2976-2986. [PMID: 33237698 PMCID: PMC7752687 DOI: 10.1097/cm9.0000000000001242] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Indexed: 12/28/2022] Open
Abstract
ABSTRACT Psoriasis is considered a systemic disease associated with metabolic abnormalities, and it is important to understand the mechanisms by which metabolism affects pathophysiological processes both holistically and systematically. Metabolites are closely related to disease phenotypes, especially in systemic diseases under multifactorial modulation. The emergence of metabolomics has provided information regarding metabolite changes in lesions and circulation and deepened our understanding of the association between metabolic reprogramming and psoriasis. Metabolomics has great potential for the development of effective biomarkers for clinical diagnosis, therapeutic monitoring, prediction of the efficacy of psoriasis management, and further discovery of new metabolism-based therapeutic targets.
Collapse
Affiliation(s)
- Ni Lian
- Department of Dermatology, Hospital for Skin Diseases (Institute of Dermatology), Chinese Academy of Medical Sciences & Peking Union Medical Collage, Nanjing, Jiangsu 210042, China
| | | | | | | |
Collapse
|
9
|
Huang J, Schaefer J, Wang Y, Gioia L, Pei Y, Shi X, Waris S, Zhao C, Nguyen J, Du J. Metabolic signature of eyelid basal cell carcinoma. Exp Eye Res 2020; 198:108140. [PMID: 32649951 DOI: 10.1016/j.exer.2020.108140] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2020] [Revised: 06/21/2020] [Accepted: 07/02/2020] [Indexed: 12/29/2022]
Abstract
PURPOSE Eyelid basal cell carcinoma (BCC) is the most common eyelid malignancy. Metabolic reprogramming is critical in tumorigenesis, but the metabolic feature of eyelid BCC remains elusive. In this study, we aim to reveal the metabolic profile in eyelid BCC using targeted metabolomics. Eyelid samples were collected from patients who had removal of BCC and from control patients who underwent blepharoplasty. Multivariate analysis of metabolomics data distinguished the two groups, indicating that eyelid BCC has significantly different metabolome than the healthy tissue. We found 16 increased and 11 decreased metabolites in the BCC tissues. These metabolites were highly enriched in the metabolism of nicotinamide adenine dinucleotide (NAD), glutathione metabolism, polyamine metabolism, and the metabolism of glycine, serine, threonine, arginine and proline. amino acid metabolism. Metabolites from NAD metabolism (Nicotinamide; Nicotinamide riboside; N1-Methylnicotinamide) had the highest sensitivity, specificity, and prediction accuracy in a prediction model for eyelid BCC. In conclusion, eyelid BCC has a signature change of cell metabolome. Metabolites in NAD metabolic pathways could potentially be biomarkers or therapeutic targets for eyelid BCC.
Collapse
Affiliation(s)
- Jiancheng Huang
- Eye Institute, Eye and ENT Hospital, Shanghai Medical College, Fudan University, Shanghai, 200031, China; NHC Key Laboratory of Myopia (Fudan University), Key Laboratory of Myopia, Chinese Academy of Medical Sciences, and Shanghai Key Laboratory of Visual Impairment and Restoration (Fudan University), Shanghai, 200031, China; Department of Ophthalmology, West Virginia University, Morgantown, WV, 26506, USA; Department of Biochemistry, West Virginia University, Morgantown, WV, 26506, USA
| | - Jamie Schaefer
- Department of Ophthalmology, West Virginia University, Morgantown, WV, 26506, USA
| | - Yekai Wang
- Department of Ophthalmology, West Virginia University, Morgantown, WV, 26506, USA; Department of Biochemistry, West Virginia University, Morgantown, WV, 26506, USA
| | - Lauren Gioia
- Department of Ophthalmology, West Virginia University, Morgantown, WV, 26506, USA
| | - Ying Pei
- Department of Industrial and Management System Engineering, West Virginia University, Morgantown, WV, 26506, USA
| | - Xiaofei Shi
- Department of Industrial and Management System Engineering, West Virginia University, Morgantown, WV, 26506, USA
| | - Shanawar Waris
- Department of Ophthalmology, West Virginia University, Morgantown, WV, 26506, USA
| | - Chen Zhao
- Eye Institute, Eye and ENT Hospital, Shanghai Medical College, Fudan University, Shanghai, 200031, China; NHC Key Laboratory of Myopia (Fudan University), Key Laboratory of Myopia, Chinese Academy of Medical Sciences, and Shanghai Key Laboratory of Visual Impairment and Restoration (Fudan University), Shanghai, 200031, China
| | - John Nguyen
- Department of Ophthalmology, West Virginia University, Morgantown, WV, 26506, USA; Department of Otolaryngology, West Virginia University, Morgantown, WV, 26506, USA.
| | - Jianhai Du
- Department of Ophthalmology, West Virginia University, Morgantown, WV, 26506, USA; Department of Biochemistry, West Virginia University, Morgantown, WV, 26506, USA.
| |
Collapse
|
10
|
Correlations between the metabolic profile and 18F-FDG-Positron Emission Tomography-Computed Tomography parameters reveal the complexity of the metabolic reprogramming within lung cancer patients. Sci Rep 2019; 9:16212. [PMID: 31700108 PMCID: PMC6838313 DOI: 10.1038/s41598-019-52667-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2018] [Accepted: 10/12/2019] [Indexed: 12/15/2022] Open
Abstract
Several studies have demonstrated that the metabolite composition of plasma may indicate the presence of lung cancer. The metabolism of cancer is characterized by an enhanced glucose uptake and glycolysis which is exploited by 18F-FDG positron emission tomography (PET) in the work-up and management of cancer. This study aims to explore relationships between 1H-NMR spectroscopy derived plasma metabolite concentrations and the uptake of labeled glucose (18F-FDG) in lung cancer tissue. PET parameters of interest are standard maximal uptake values (SUVmax), total body metabolic active tumor volumes (MATVWTB) and total body total lesion glycolysis (TLGWTB) values. Patients with high values of these parameters have higher plasma concentrations of N-acetylated glycoproteins which suggest an upregulation of the hexosamines biosynthesis. High MATVWTB and TLGWTB values are associated with higher concentrations of glucose, glycerol, N-acetylated glycoproteins, threonine, aspartate and valine and lower levels of sphingomyelins and phosphatidylcholines appearing at the surface of lipoproteins. These higher concentrations of glucose and non-carbohydrate glucose precursors such as amino acids and glycerol suggests involvement of the gluconeogenesis pathway. The lower plasma concentration of those phospholipids points to a higher need for membrane synthesis. Our results indicate that the metabolic reprogramming in cancer is more complex than the initially described Warburg effect.
Collapse
|
11
|
Dinges SS, Vandergrift LA, Wu S, Berker Y, Habbel P, Taupitz M, Wu CL, Cheng LL. Metabolomic prostate cancer fields in HRMAS MRS-profiled histologically benign tissue vary with cancer status and distance from cancer. NMR IN BIOMEDICINE 2019; 32:e4038. [PMID: 30609175 PMCID: PMC7366614 DOI: 10.1002/nbm.4038] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/24/2018] [Revised: 09/05/2018] [Accepted: 10/13/2018] [Indexed: 05/05/2023]
Abstract
In this article, we review the state of the field of high resolution magic angle spinning MRS (HRMAS MRS)-based cancer metabolomics since its beginning in 2004; discuss the concept of cancer metabolomic fields, where metabolomic profiles measured from histologically benign tissues reflect patient cancer status; and report our HRMAS MRS metabolomic results, which characterize metabolomic fields in prostatectomy-removed cancerous prostates. Three-dimensional mapping of cancer lesions throughout each prostate enabled multiple benign tissue samples per organ to be classified based on distance from and extent of the closest cancer lesion as well as the Gleason score (GS) of the entire prostate. Cross-validated partial least squares-discriminant analysis separations were achieved between cancer and benign tissue, and between cancer tissue from prostates with high (≥4 + 3) and low (≤3 + 4) GS. Metabolomic field effects enabled histologically benign tissue adjacent to cancer to distinguish the GS and extent of the cancer lesion itself. Benign samples close to either low GS cancer or extensive cancer lesions could be distinguished from those far from cancer. Furthermore, a successfully cross-validated multivariate model for three benign tissue groups with varying distances from cancer lesions within one prostate indicates the scale of prostate cancer metabolomic fields. While these findings could, at present, be potentially useful in the prostate cancer clinic for analysis of biopsy or surgical specimens to complement current diagnostics, the confirmation of metabolomic fields should encourage further examination of cancer fields and can also enhance understanding of the metabolomic characteristics of cancer in myriad organ systems. Our results together with the success of HRMAS MRS-based cancer metabolomics presented in our literature review demonstrate the potential of cancer metabolomics to provide supplementary information for cancer diagnosis, staging, and patient prognostication.
Collapse
Affiliation(s)
- Sarah S. Dinges
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, 02114 USA
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, 02114 USA
- Department of Haematology and Oncology, CCM, Charité – Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany
- Department of Radiology, Charité Medical University of Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Lindsey A. Vandergrift
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, 02114 USA
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, 02114 USA
| | - Shulin Wu
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, 02114 USA
| | - Yannick Berker
- Division of X-Ray Imaging and Computed Tomography, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Piet Habbel
- Department of Haematology and Oncology, CCM, Charité – Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany
| | - Matthias Taupitz
- Department of Radiology, Charité Medical University of Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Chin-Lee Wu
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, 02114 USA
| | - Leo L. Cheng
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, 02114 USA
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, 02114 USA
- Corresponding author: Leo L. Cheng, PhD, 149 13 St, CNY 6, Charlestown, MA 02129, Ph. 617-724-6593,
| |
Collapse
|
12
|
Comparative Analysis of Panax ginseng Berries from Seven Cultivars Using UPLC-QTOF/MS and NMR-Based Metabolic Profiling. Biomolecules 2019; 9:biom9090424. [PMID: 31466413 PMCID: PMC6770912 DOI: 10.3390/biom9090424] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2019] [Revised: 08/27/2019] [Accepted: 08/27/2019] [Indexed: 11/16/2022] Open
Abstract
The commercial use of Panax ginseng berries is increasing as P. ginseng berries are known to contain large amounts of ginsenosides, and many pharmacological activities have been reported for the various ginsenosides. For the proper use of P. ginseng berries, it is necessary to study efficient and accurate quality control and the profiling of the overall composition of each cultivar. Ginseng berry samples from seven cultivars (Eumseung, Chung-buk Province, Republic of Korea) were analyzed using ultra-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry (UPLC-QTOF/MS) for profiling of the ginsenosides, and high-resolution magic-angle-spinning nuclear magnetic resonance (HR-MAS NMR) spectroscopy for profiling of the primary metabolites. Comparing twenty-six ginsenoside profiles between the variant representatives and between the violet-stem variant, Kumpoong and Sunwon were classified. In the case of primary metabolites, the cultivars Kumpoong and Gopoong were classified. As a result of correlation analyses of the primary and secondary metabolites, in the Gopoong cultivar, the metabolism was found to lean toward energy metabolism rather than ginsenoside synthesis, and accumulation of osmolytes was low. The Gopoong cultivar had higher levels of most of the amino acids, such as arginine, phenylalanine, isoleucine, threonine, and valine, and it contained the highest level of choline and the lowest level of myo-inositol. Except for these, there were no significant differences of primary metabolites. In the Kumpoong cultivar, the protopanaxatriol (PPT)-type ginsenosides, ginsenoside Re and ginsenoside Rg2, were much lower than in the other cultivars, while the other PPT-type ginsenosides were inversely found in much higher amounts than in other cultivars. The Sunwon cultivar showed that variations of PPT-type ginsenosides were significantly different between samples. However, the median values of PPT-type ginsenosides of Sunwon showed similar levels to those of Kumpoong. The difference in primary metabolites used for metabolism for survival was found to be small in our results. Our data demonstrated the characteristics of each cultivar using profiling data of the primary and secondary metabolites, especially for Gopoong, Kumpoong, and Sunwon. These profiling data provided important information for further research and commercial use.
Collapse
|
13
|
Yoon D, Choi BR, Ma S, Lee JW, Jo IH, Lee YS, Kim GS, Kim S, Lee DY. Metabolomics for Age Discrimination of Ginseng Using a Multiplex Approach to HR-MAS NMR Spectroscopy, UPLC-QTOF/MS, and GC × GC-TOF/MS. Molecules 2019; 24:molecules24132381. [PMID: 31252608 PMCID: PMC6651322 DOI: 10.3390/molecules24132381] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2019] [Revised: 06/21/2019] [Accepted: 06/25/2019] [Indexed: 01/09/2023] Open
Abstract
(1) Background: The ability to determine the age of ginseng is very important because the price of ginseng depends on the cultivation period. Since morphological observation is subjective, a new scientific and systematic method for determining the age of ginseng is required. (2) Methods: Three techniques were used for a metabolomics approach. High-resolution magic-angle-spinning nuclear magnetic resonance (HR-MAS NMR) spectroscopy was used to analyze powdered ginseng samples without extraction. Ultrahigh-performance liquid chromatography quadrupole time-of-flight mass spectrometry (UPLC-QTOF/MS) and gas chromatography quadrupole time-of-fight mass spectrometry (GC-TOF/MS) were used to analyze the extracts of 4-, 5-, and 6-year-old ginseng. (3) Results: A metabolomics approach has the potential to discriminate the age of ginseng. Among the primary metabolites detected from NMR spectroscopy, the levels of fumarate and choline showed moderate prediction with an area under the curve (AUC) value of more than 0.7. As a result of UPLC-QTOF/MS-based profiling, 61 metabolites referring to the VIP (variable importance in the projection) score contributed to discriminating the age of ginseng. The results of GC×GC-TOF/MS showed clear discrimination of 4-, 5-, and 6-year-old ginseng using orthogonal partial least-squares discriminant analysis (OPLS-DA) to 100% of the discrimination rate. The results of receiver operating characteristic (ROC) analysis, 16 metabolites between 4- and 5-year-old ginseng, and 18 metabolites between 5- and 6-year-old ginseng contributed to age discrimination in all regions. (4) Conclusions: These results showed that metabolic profiling and multivariate statistical analyses can distinguish the age of ginseng. Especially, it is meaningful that ginseng samples from different areas had the same metabolites for age discrimination. In future studies, it will be necessary to identify the unknown variables and to collaboratively study with other fields the biochemistry of aging in ginseng.
Collapse
Affiliation(s)
- Dahye Yoon
- Department of Herbal Crop Research, National Institute of Horticultural and Herbal Science, RDA, Eumseong 27709, Korea
| | - Bo-Ram Choi
- Department of Herbal Crop Research, National Institute of Horticultural and Herbal Science, RDA, Eumseong 27709, Korea
| | - Seohee Ma
- Department of Chemistry, Center for Proteome Biophysics and Chemistry Institute for Functional Materials, Pusan National University, Busan 46241, Korea
| | - Jae Won Lee
- Department of Herbal Crop Research, National Institute of Horticultural and Herbal Science, RDA, Eumseong 27709, Korea
| | - Ick-Hyun Jo
- Department of Herbal Crop Research, National Institute of Horticultural and Herbal Science, RDA, Eumseong 27709, Korea
| | - Young-Seob Lee
- Department of Herbal Crop Research, National Institute of Horticultural and Herbal Science, RDA, Eumseong 27709, Korea
| | - Geum-Soog Kim
- Department of Herbal Crop Research, National Institute of Horticultural and Herbal Science, RDA, Eumseong 27709, Korea
| | - Suhkmann Kim
- Department of Chemistry, Center for Proteome Biophysics and Chemistry Institute for Functional Materials, Pusan National University, Busan 46241, Korea.
| | - Dae Young Lee
- Department of Herbal Crop Research, National Institute of Horticultural and Herbal Science, RDA, Eumseong 27709, Korea.
| |
Collapse
|
14
|
张 磊, 范 志, 康 华, 王 宇, 刘 树, 单 忠. [High-performance liquid chromatography-mass spectrometry-based serum metabolic profiling in patients with HBV-related hepatocellular carcinoma]. NAN FANG YI KE DA XUE XUE BAO = JOURNAL OF SOUTHERN MEDICAL UNIVERSITY 2019; 39:49-56. [PMID: 30692066 PMCID: PMC6765583 DOI: 10.12122/j.issn.1673-4254.2019.01.08] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 07/09/2018] [Indexed: 12/22/2022]
Abstract
OBJECTIVE To explore the diagnostic value of the serum metabolites identified by high-performance liquid chromatography-mass spectrometry (HPLC/MS) for hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC). METHODS A total of 126 patients admitted to Tianjin Third Central Hospital were enrolled, including 27 patients with HBV-related hepatitis with negative viral DNA (DNA-N), 24 with HBV-related hepatitis with positive viral DNA, 24 with HBV-related liver cirrhosis, 27 with HBV-related HCC undergoing surgeries or radiofrequency ablation, and 24 with HBV-related HCC receiving interventional therapy, with 25 healthy volunteers as the normal control group. Serum samples were collected from all the subjects for HPLC/MS analysis, and the data were pretreated to establish an orthogonal partial least- squares discriminant analysis (OPLS-DA) model. The differential serum metabolites were preliminarily screened by comparisons between the HBV groups and the control group, and the characteristic metabolites were identified according to the results of non-parametric test. The potential clinical values of these characteristic metabolites were evaluated using receiver operator characteristic curve (ROC) analysis. RESULTS A total of 25 characteristic metabolites were identified in the HBV- infected patients, including 9 lysophosphatidylcholines, 2 fatty acids, 17α-estradiol, sphinganine, 5-methylcytidine, vitamin K2, lysophosphatidic acid, glycocholic acid and 8 metabolites with few reports. The patients with HBV- related HCC showed 22 differential serum metabolites compared with the control group, 4 differential metabolites compared with patients with HBV-related liver cirrhosis; 10 differential metabolites were identified in patients with HBV-related HCC receiving interventional therapy compared with those receiving surgical resection or radiofrequency ablation. From the normal control group to HBV-related HCC treated by interventional therapy, many metabolites underwent variations following a similar pattern. CONCLUSIONS We identified 25 characteristic metabolites in patients with HBV-related HCC, and these metabolites may have potential clinical values in the diagnosis of HBV-related HCC. The continuous change of some of these metabolites may indicate the possibility of tumorigenesis, and some may also have indications for the choice of surgical approach.
Collapse
Affiliation(s)
- 磊 张
- 天津大学化工学院,天津 300072Chemical Engineering Institute, Tianjin University, Tianjin 300072 China
- 天津市第三中心医院检验科//天津市人工细胞重点实验室//卫生部人工细胞工程技术研究中心,天津 300170Clinical Laboratory Department of Tianjin Third Central Hospital, Tianjin Key Laboratory of Artificial Cell, Artificial Cell Engineering Technology Research Center of Public Health Ministry, Tianjin 300170 China
| | - 志娟 范
- 天津市第三中心医院检验科//天津市人工细胞重点实验室//卫生部人工细胞工程技术研究中心,天津 300170Clinical Laboratory Department of Tianjin Third Central Hospital, Tianjin Key Laboratory of Artificial Cell, Artificial Cell Engineering Technology Research Center of Public Health Ministry, Tianjin 300170 China
| | - 华 康
- 天津市第三中心医院检验科//天津市人工细胞重点实验室//卫生部人工细胞工程技术研究中心,天津 300170Clinical Laboratory Department of Tianjin Third Central Hospital, Tianjin Key Laboratory of Artificial Cell, Artificial Cell Engineering Technology Research Center of Public Health Ministry, Tianjin 300170 China
| | - 宇凡 王
- 天津市第三中心医院检验科//天津市人工细胞重点实验室//卫生部人工细胞工程技术研究中心,天津 300170Clinical Laboratory Department of Tianjin Third Central Hospital, Tianjin Key Laboratory of Artificial Cell, Artificial Cell Engineering Technology Research Center of Public Health Ministry, Tianjin 300170 China
| | - 树业 刘
- 天津市第三中心医院检验科//天津市人工细胞重点实验室//卫生部人工细胞工程技术研究中心,天津 300170Clinical Laboratory Department of Tianjin Third Central Hospital, Tianjin Key Laboratory of Artificial Cell, Artificial Cell Engineering Technology Research Center of Public Health Ministry, Tianjin 300170 China
| | - 忠强 单
- 天津大学化工学院,天津 300072Chemical Engineering Institute, Tianjin University, Tianjin 300072 China
| |
Collapse
|
15
|
Yan D, Afifi L, Jeon C, Trivedi M, Chang HW, Lee K, Liao W. The metabolomics of psoriatic disease. PSORIASIS (AUCKLAND, N.Z.) 2017; 7:1-15. [PMID: 28824870 PMCID: PMC5562362 DOI: 10.2147/ptt.s118348] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Metabolomics is an emerging new "omics" field involving the systematic analysis of the metabolites in a biologic system. These metabolites provide a molecular snapshot of cellular activity and are thus important for understanding the functional changes in metabolic pathways that drive disease. Recently, metabolomics has been used to study the local and systemic metabolic changes in psoriasis and its cardiometabolic comorbidities. Such studies have revealed novel insights into disease pathogenesis and suggest new biochemical signatures that may be used as a marker of psoriatic disease. This review will discuss common strategies in metabolomics analysis, current findings in the metabolomics of psoriasis, and emerging trends in psoriatic metabolomics.
Collapse
Affiliation(s)
- Di Yan
- Department of Dermatology, University of California-San Francisco, San Francisco, CA, USA
| | - Ladan Afifi
- Department of Dermatology, University of California-San Francisco, San Francisco, CA, USA
| | - Caleb Jeon
- Department of Dermatology, University of California-San Francisco, San Francisco, CA, USA
| | - Megha Trivedi
- Department of Dermatology, University of California-San Francisco, San Francisco, CA, USA
| | - Hsin Wen Chang
- Department of Dermatology, University of California-San Francisco, San Francisco, CA, USA
| | - Kristina Lee
- Department of Dermatology, University of California-San Francisco, San Francisco, CA, USA
| | - Wilson Liao
- Department of Dermatology, University of California-San Francisco, San Francisco, CA, USA
| |
Collapse
|
16
|
Song Y, Song Q, Li J, Zheng J, Li C, Zhang Y, Zhang L, Jiang Y, Tu P. An integrated platform for directly widely-targeted quantitative analysis of feces part I: Platform configuration and method validation. J Chromatogr A 2016; 1454:58-66. [PMID: 27268518 DOI: 10.1016/j.chroma.2016.05.077] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2016] [Revised: 05/16/2016] [Accepted: 05/23/2016] [Indexed: 12/15/2022]
Abstract
Direct analysis is of great importance to understand the real chemical profile of a given sample, notably biological materials, because either chemical degradation or diverse errors and uncertainties might be resulted from sophisticated protocols. In comparison with biofluids, it is still challenging for direct analysis of solid biological samples using high performance liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS). Herein, a new analytical platform was configured by online hyphenating pressurized liquid extraction (PLE), turbulent flow chromatography (TFC), and LC-MS/MS. A facile, but robust PLE module was constructed based on the phenomenon that noticeable back-pressure can be generated during rapid fluid passing through a narrow tube. TFC column that is advantageous at extracting low molecular analytes from rushing fluid was employed to link at the outlet of the PLE module to capture constituents-of-interest. An electronic 6-port/2-position valve was introduced between TFC column and LC-MS/MS to fragment each measurement into extraction and elution phases, whereas LC-MS/MS took the charge of analyte separation and monitoring. As a proof of concept, simultaneous determination of 24 endogenous substances including eighteen steroids, five eicosanoids, and one porphyrin in feces was carried out in this paper. Method validation assays demonstrated the analytical platform to be qualified for directly simultaneous measurement of diverse endogenous analytes in fecal matrices. Application of this integrated platform on homolog-focused profiling of feces is discussed in a companion paper.
Collapse
Affiliation(s)
- Yuelin Song
- Modern Research Center for Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China
| | - Qingqing Song
- Modern Research Center for Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China; School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 100102, China
| | - Jun Li
- Modern Research Center for Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China
| | - Jiao Zheng
- Modern Research Center for Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China
| | - Chun Li
- Modern Research Center for Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China
| | - Yuan Zhang
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 100102, China
| | - Lingling Zhang
- Modern Research Center for Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China; School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 100102, China
| | - Yong Jiang
- State Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University, Beijing 100191, China.
| | - Pengfei Tu
- Modern Research Center for Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China.
| |
Collapse
|