特刊社论:代谢组学在印度

IF 3 Q2 CHEMISTRY, ANALYTICAL
Biswapriya B. Misra, Dietrich A. Volmer
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After rigorous peer-review over the past 12 months during the COVID-19 pandemic, the process resulted in the eventual acceptance of 12 articles. The original research articles used either nuclear magnetic resonance (NMR), LC-MS/MS, or GC-MS as tools for generating metabolomics scale data.</p><p>Mishra et al<span><sup>1</sup></span> demonstrated the use of UHPLC-ESI-MS/MS in bioprospection of stem bark materials of <i>Betula utilis</i> collected from various geographical regions in India, leading to identification of 10 bioactive triterpenoids, phenolics, and flavonoids using a targeted multiple reaction monitoring (MRM) approach. Such validated methods with respect to linearity, intra- and interday precision, and accuracy will help the field move forward in areas of confident quantification of bioactive substances from phytochemical resources.</p><p>Rendedula et al<span><sup>2</sup></span> demonstrated the resolving power and sensitivity of solid-phase extraction (SPE) ultra-high performance liquid chromatograph (UHPLC) hyphenated to quadrupole hybrid Orbitrap mass spectrometry (Q-Orbitrap-MS) in capturing 26 phthalates, pharmaceuticals, and personal care products (PPPCPs) in river water samples from an Indian river, the Ganges.</p><p>Colvin et al<span><sup>3</sup></span> adopted a proteomics and metabolomics guided approach to demonstrate their utility in mosquito larvicidal toxicity in Bacillus sp. Isolated from the mid-gut of <i>Culex quinquefasciatus</i> larvae. They reported differential toxicities of the four identified bacterial strains to specific metabolites and proteins occurring in the pathogens, indicating the importance of microbial ID and profiling efforts in infectious disease research.</p><p>Guleria et al<span><sup>4</sup></span> used an NMR-based untargeted metabolomics effort in serum and muscle tissues for diagnosis and activity assessment of idiopathic inflammatory myopathies. Metabolic profiles of sera (N = 99) and muscle (N = 21) from patients with idiopathic inflammatory myopathies were compared with healthy control (HC) samples (N = 75 for serum and N = 12 for muscle tissues) employing 800 MHz NMR spectroscopy. The patient sera showed a visible shift to anaerobic metabolism (increased lactate, low glucose), oxidative defect (high phenylalanine/tyrosine), whereas three metabolites (isopropanol, succinate, and glycine) were distinctive in muscle tissue metabolomics. The authors demonstrate the power of untargeted NMR metabolomics in its ability to differentiate active from inactive myositis, where conventional markers fail, and in aiding in decision making for continued medication approaches, that is, immune-suppressant continuation in this case.</p><p>In another NMR-based targeted metabolomics effort by Kumar et al,<span><sup>5</sup></span> serum metabolic profiles of 98 takayasu arteritis (TA)-patients and 77 normal controls (NC) samples were measured using a high-resolution 800 MHz NMR spectrometer employing standard 1D-1H-CPMG NMR experiments, showing that histidine levels were significantly decreased in active TA patients (23.90; IQR:16.10). The authors noted that circulatory levels of histidine in patients can serve as a surrogate marker for improving diagnostic screening in active and inactive TA patients.</p><p>Another NMR-based targeted metabolomics study by Arya et al<span><sup>6</sup></span> investigated the circulatory levels of serine and glycine in the sera of 40 ACLF patients and 49 normal controls (NC) subject using 1D 1H CPMG NMR spectra that provided insights into the potential mechanisms of acute-on-Chronic liver failure (ACLF) in cirrhotic patients. The authors showed that the circulating levels of serine and glycine were significantly decreased in ACLF patients (Ser = 23.06 ± 1.67 and Gly = 83.11 ± 7.52) compared to NC subjects (Ser = 55.61 ± 2.28 and Gly = 156.9 ± 7.16) with <i>p</i>-value &lt; 0.0001, indicative of depressed immune system and mitochondrial dysfunction.</p><p>Ganneru et al<span><sup>7</sup></span> demonstrated the use of GC-MS based metabolomics in revealing metabolic perturbations in <i>Carica papaya</i> Linn. (papaya), which has been ripened either by the ripening practice (room temperature process as control) and/or ripening agents (calcium carbide and ethylene). The authors recorded significant alternations in 13 metabolites mainly sugars, amino acids, fatty acids, and organic acids as well as disturbances in five metabolic pathways due to different ripening practice/agents.</p><p>This Special issue also received four review manuscripts. Chandran et al's review<span><sup>8</sup></span> underscored the role of quantitative metabolomics in early diagnosis of inborn errors of metabolism (IEM) in India. Given that the predictive cumulative incidence of IEMs is said to be ∼1:800 newborns in Indian population, applying LC-MS/MS-based screens using targeted and untargeted approaches new born screening for IEM opens up immense possibilities for the Indian healthcare system. Of note, we commend the impressive set of infographics and images created by the authors in this succinct review.</p><p>In another review on the application of magnetic resonance spectroscopy (MRS) in breast cancer, Sharma and Jagannathan<span><sup>9</sup></span> compare the technology with mass spectrometry and demonstrate a handful of applications in biomedical research, which goes on to show its enormous potential in capturing the underlying metabolic reprogramming in breast cancer cells, in unravelling molecular biomarkers, and applications in in vitro and ex vivo studies.</p><p>A review by Puri et al<span><sup>10</sup></span> highlights the role of diverse spectroscopic techniques in discovery of phytochemicals from medicinal plants. The manuscript introduces targeted and untargeted approaches, MS-based technologies such as GC-MS, LC-MS, and CE-MS, NMR-based strategy such as 2D NMR and solid-state NMR, multidimensional chromatography, and MS hyphenated NMR techniques in addition to providing information on medicinal plants, where metabolomics efforts were demonstrated to be successful in identification of bioactive principles. The authors also demonstrate the utility of mass spectral imaging (MSI) and GNPS (Global Natural Products Social Molecular Networking) as emerging approaches in novel metabolite discovery processes.</p><p>Gupta et al<span><sup>11</sup></span> provided an account of opportunities in conducting metabolomics studies to investigate prevalent neurological disorders in India. The authors stress that diseases such as acute spinal cord injury, amyotrophic lateral sclerosis, tethered cord syndrome, spina bifida, stroke, epilepsy, Parkinson's disease, and glioblastoma can be investigated using MS and NMR-based approaches by allowing measurements of large numbers of metabolites in various disease pools that would allow quantification of “neurometabolites.”</p><p>In an exciting perspective, Phaple<span><sup>12</sup></span> provided a unique dimension to the use of pharmaco-metabolomics in drug development and clinical research in India. The author noticed that although for one and half decades the field has made advances in providing clinical evidence towards personalized medicine, the discovered pharmaco-metabolomic biomarkers have not yet translated into the clinic due to a lack of large-scale validation. Furthermore, the author calls on the Indian pharmaceutical research bodies to embrace the constantly improving bioanalytical infrastructure to embark on this opportunity.</p><p>In addition to thanking all the authors for their contributions to this special issue on metabolomics in India, we would like to thank all the reviewers, who have invested their time to help us peer-review the manuscripts in a timely manner, and the journal's staff who have provided enormous logistics supports to help us pull this off together. As a first of its kind, this special issue will help motivate a generation of analytical scientists and metabolomicists in India, which will help move the field forward with greater impetus and vigor.</p><p>The authors declare no financial interests/personal relationships, which may be considered as potential competing interests.</p>","PeriodicalId":93411,"journal":{"name":"Analytical science advances","volume":"2 11-12","pages":"495-496"},"PeriodicalIF":3.0000,"publicationDate":"2021-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://chemistry-europe.onlinelibrary.wiley.com/doi/epdf/10.1002/ansa.202100064","citationCount":"0","resultStr":"{\"title\":\"Editorial for special issue: Metabolomics in India\",\"authors\":\"Biswapriya B. Misra,&nbsp;Dietrich A. 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After rigorous peer-review over the past 12 months during the COVID-19 pandemic, the process resulted in the eventual acceptance of 12 articles. The original research articles used either nuclear magnetic resonance (NMR), LC-MS/MS, or GC-MS as tools for generating metabolomics scale data.</p><p>Mishra et al<span><sup>1</sup></span> demonstrated the use of UHPLC-ESI-MS/MS in bioprospection of stem bark materials of <i>Betula utilis</i> collected from various geographical regions in India, leading to identification of 10 bioactive triterpenoids, phenolics, and flavonoids using a targeted multiple reaction monitoring (MRM) approach. Such validated methods with respect to linearity, intra- and interday precision, and accuracy will help the field move forward in areas of confident quantification of bioactive substances from phytochemical resources.</p><p>Rendedula et al<span><sup>2</sup></span> demonstrated the resolving power and sensitivity of solid-phase extraction (SPE) ultra-high performance liquid chromatograph (UHPLC) hyphenated to quadrupole hybrid Orbitrap mass spectrometry (Q-Orbitrap-MS) in capturing 26 phthalates, pharmaceuticals, and personal care products (PPPCPs) in river water samples from an Indian river, the Ganges.</p><p>Colvin et al<span><sup>3</sup></span> adopted a proteomics and metabolomics guided approach to demonstrate their utility in mosquito larvicidal toxicity in Bacillus sp. Isolated from the mid-gut of <i>Culex quinquefasciatus</i> larvae. They reported differential toxicities of the four identified bacterial strains to specific metabolites and proteins occurring in the pathogens, indicating the importance of microbial ID and profiling efforts in infectious disease research.</p><p>Guleria et al<span><sup>4</sup></span> used an NMR-based untargeted metabolomics effort in serum and muscle tissues for diagnosis and activity assessment of idiopathic inflammatory myopathies. Metabolic profiles of sera (N = 99) and muscle (N = 21) from patients with idiopathic inflammatory myopathies were compared with healthy control (HC) samples (N = 75 for serum and N = 12 for muscle tissues) employing 800 MHz NMR spectroscopy. The patient sera showed a visible shift to anaerobic metabolism (increased lactate, low glucose), oxidative defect (high phenylalanine/tyrosine), whereas three metabolites (isopropanol, succinate, and glycine) were distinctive in muscle tissue metabolomics. The authors demonstrate the power of untargeted NMR metabolomics in its ability to differentiate active from inactive myositis, where conventional markers fail, and in aiding in decision making for continued medication approaches, that is, immune-suppressant continuation in this case.</p><p>In another NMR-based targeted metabolomics effort by Kumar et al,<span><sup>5</sup></span> serum metabolic profiles of 98 takayasu arteritis (TA)-patients and 77 normal controls (NC) samples were measured using a high-resolution 800 MHz NMR spectrometer employing standard 1D-1H-CPMG NMR experiments, showing that histidine levels were significantly decreased in active TA patients (23.90; IQR:16.10). The authors noted that circulatory levels of histidine in patients can serve as a surrogate marker for improving diagnostic screening in active and inactive TA patients.</p><p>Another NMR-based targeted metabolomics study by Arya et al<span><sup>6</sup></span> investigated the circulatory levels of serine and glycine in the sera of 40 ACLF patients and 49 normal controls (NC) subject using 1D 1H CPMG NMR spectra that provided insights into the potential mechanisms of acute-on-Chronic liver failure (ACLF) in cirrhotic patients. The authors showed that the circulating levels of serine and glycine were significantly decreased in ACLF patients (Ser = 23.06 ± 1.67 and Gly = 83.11 ± 7.52) compared to NC subjects (Ser = 55.61 ± 2.28 and Gly = 156.9 ± 7.16) with <i>p</i>-value &lt; 0.0001, indicative of depressed immune system and mitochondrial dysfunction.</p><p>Ganneru et al<span><sup>7</sup></span> demonstrated the use of GC-MS based metabolomics in revealing metabolic perturbations in <i>Carica papaya</i> Linn. (papaya), which has been ripened either by the ripening practice (room temperature process as control) and/or ripening agents (calcium carbide and ethylene). The authors recorded significant alternations in 13 metabolites mainly sugars, amino acids, fatty acids, and organic acids as well as disturbances in five metabolic pathways due to different ripening practice/agents.</p><p>This Special issue also received four review manuscripts. Chandran et al's review<span><sup>8</sup></span> underscored the role of quantitative metabolomics in early diagnosis of inborn errors of metabolism (IEM) in India. Given that the predictive cumulative incidence of IEMs is said to be ∼1:800 newborns in Indian population, applying LC-MS/MS-based screens using targeted and untargeted approaches new born screening for IEM opens up immense possibilities for the Indian healthcare system. Of note, we commend the impressive set of infographics and images created by the authors in this succinct review.</p><p>In another review on the application of magnetic resonance spectroscopy (MRS) in breast cancer, Sharma and Jagannathan<span><sup>9</sup></span> compare the technology with mass spectrometry and demonstrate a handful of applications in biomedical research, which goes on to show its enormous potential in capturing the underlying metabolic reprogramming in breast cancer cells, in unravelling molecular biomarkers, and applications in in vitro and ex vivo studies.</p><p>A review by Puri et al<span><sup>10</sup></span> highlights the role of diverse spectroscopic techniques in discovery of phytochemicals from medicinal plants. The manuscript introduces targeted and untargeted approaches, MS-based technologies such as GC-MS, LC-MS, and CE-MS, NMR-based strategy such as 2D NMR and solid-state NMR, multidimensional chromatography, and MS hyphenated NMR techniques in addition to providing information on medicinal plants, where metabolomics efforts were demonstrated to be successful in identification of bioactive principles. The authors also demonstrate the utility of mass spectral imaging (MSI) and GNPS (Global Natural Products Social Molecular Networking) as emerging approaches in novel metabolite discovery processes.</p><p>Gupta et al<span><sup>11</sup></span> provided an account of opportunities in conducting metabolomics studies to investigate prevalent neurological disorders in India. 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引用次数: 0

摘要

作者记录了13种代谢物的显著变化,主要是糖、氨基酸、脂肪酸和有机酸,以及5种代谢途径由于不同的成熟实践/剂而受到干扰。本期特刊还收到了四篇审稿。Chandran等人的综述8强调了定量代谢组学在印度先天性代谢错误(IEM)早期诊断中的作用。考虑到印度人口中IEM的预测累积发病率约为1:800,应用LC-MS/ ms为基础的筛查,使用靶向和非靶向方法对新生儿进行IEM筛查,为印度医疗保健系统开辟了巨大的可能性。值得注意的是,我们赞扬作者在这篇简洁的评论中创建的令人印象深刻的信息图表和图像。在另一篇关于磁共振波谱(MRS)在乳腺癌中的应用的综述中,Sharma和Jagannathan9将该技术与质谱法进行了比较,并展示了它在生物医学研究中的一些应用,进而显示了它在捕捉乳腺癌细胞中潜在的代谢重编程、揭示分子生物标志物以及在体外和离体研究中的应用方面的巨大潜力。Puri等人的一篇综述强调了不同光谱技术在药用植物中发现植物化学物质的作用。该手稿介绍了靶向和非靶向方法,基于质谱的技术,如GC-MS, LC-MS和CE-MS,基于核磁共振的策略,如二维核磁共振和固态核磁共振,多维层析,以及MS-连谱核磁共振技术,此外还提供了药用植物的信息,其中代谢组学的努力被证明在识别生物活性原理方面是成功的。作者还展示了质谱成像(MSI)和GNPS(全球天然产物社会分子网络)作为新型代谢物发现过程中的新兴方法的实用性。Gupta等人11提供了进行代谢组学研究的机会,以调查印度流行的神经系统疾病。作者强调,急性脊髓损伤、肌萎缩性侧索硬化症、脊髓栓系综合征、脊柱裂、中风、癫痫、帕金森病和胶质母细胞瘤等疾病可以使用基于MS和nmr的方法进行研究,通过测量各种疾病库中的大量代谢物,可以量化“神经代谢物”。从一个令人兴奋的角度来看,Phaple12为药物代谢组学在印度药物开发和临床研究中的应用提供了一个独特的维度。作者注意到,尽管15年来该领域在为个性化医疗提供临床证据方面取得了进展,但由于缺乏大规模验证,发现的药物代谢组学生物标志物尚未转化为临床。此外,作者呼吁印度制药研究机构接受不断改进的生物分析基础设施,以抓住这一机会。除了感谢所有作者为本期印度代谢组学特刊所做的贡献外,我们还要感谢所有投入时间帮助我们及时进行同行评审的审稿人,以及为我们共同完成这一任务提供了大量后勤支持的期刊工作人员。这一期特刊将首次激励印度一代分析科学家和代谢组学家,推动该领域以更大的动力和活力向前发展。作者声明没有经济利益/个人关系,这可能被视为潜在的竞争利益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Editorial for special issue: Metabolomics in India

The explosive growth of metabolomics has greatly reinvigorated interest in metabolism from a systems biology perspective. With a growing knowledge-based economy in India, the field of metabolomics has seen impressive growth in the past decade, thanks to the well-educated and skilled scientists of this country.

In order to capture the progress and advances in metabolomics, we decided on a special issue in early 2020 for this new journal, Analytical Science Advances (ASA), and we could think of no better topic than “Metabolomics in India,” to provide the Indian metabolomics community with a platform to showcase its exciting new developments. We invited authors to submit articles that focused on topics from analytical mass spectrometry to omics technologies and received many exciting articles. After rigorous peer-review over the past 12 months during the COVID-19 pandemic, the process resulted in the eventual acceptance of 12 articles. The original research articles used either nuclear magnetic resonance (NMR), LC-MS/MS, or GC-MS as tools for generating metabolomics scale data.

Mishra et al1 demonstrated the use of UHPLC-ESI-MS/MS in bioprospection of stem bark materials of Betula utilis collected from various geographical regions in India, leading to identification of 10 bioactive triterpenoids, phenolics, and flavonoids using a targeted multiple reaction monitoring (MRM) approach. Such validated methods with respect to linearity, intra- and interday precision, and accuracy will help the field move forward in areas of confident quantification of bioactive substances from phytochemical resources.

Rendedula et al2 demonstrated the resolving power and sensitivity of solid-phase extraction (SPE) ultra-high performance liquid chromatograph (UHPLC) hyphenated to quadrupole hybrid Orbitrap mass spectrometry (Q-Orbitrap-MS) in capturing 26 phthalates, pharmaceuticals, and personal care products (PPPCPs) in river water samples from an Indian river, the Ganges.

Colvin et al3 adopted a proteomics and metabolomics guided approach to demonstrate their utility in mosquito larvicidal toxicity in Bacillus sp. Isolated from the mid-gut of Culex quinquefasciatus larvae. They reported differential toxicities of the four identified bacterial strains to specific metabolites and proteins occurring in the pathogens, indicating the importance of microbial ID and profiling efforts in infectious disease research.

Guleria et al4 used an NMR-based untargeted metabolomics effort in serum and muscle tissues for diagnosis and activity assessment of idiopathic inflammatory myopathies. Metabolic profiles of sera (N = 99) and muscle (N = 21) from patients with idiopathic inflammatory myopathies were compared with healthy control (HC) samples (N = 75 for serum and N = 12 for muscle tissues) employing 800 MHz NMR spectroscopy. The patient sera showed a visible shift to anaerobic metabolism (increased lactate, low glucose), oxidative defect (high phenylalanine/tyrosine), whereas three metabolites (isopropanol, succinate, and glycine) were distinctive in muscle tissue metabolomics. The authors demonstrate the power of untargeted NMR metabolomics in its ability to differentiate active from inactive myositis, where conventional markers fail, and in aiding in decision making for continued medication approaches, that is, immune-suppressant continuation in this case.

In another NMR-based targeted metabolomics effort by Kumar et al,5 serum metabolic profiles of 98 takayasu arteritis (TA)-patients and 77 normal controls (NC) samples were measured using a high-resolution 800 MHz NMR spectrometer employing standard 1D-1H-CPMG NMR experiments, showing that histidine levels were significantly decreased in active TA patients (23.90; IQR:16.10). The authors noted that circulatory levels of histidine in patients can serve as a surrogate marker for improving diagnostic screening in active and inactive TA patients.

Another NMR-based targeted metabolomics study by Arya et al6 investigated the circulatory levels of serine and glycine in the sera of 40 ACLF patients and 49 normal controls (NC) subject using 1D 1H CPMG NMR spectra that provided insights into the potential mechanisms of acute-on-Chronic liver failure (ACLF) in cirrhotic patients. The authors showed that the circulating levels of serine and glycine were significantly decreased in ACLF patients (Ser = 23.06 ± 1.67 and Gly = 83.11 ± 7.52) compared to NC subjects (Ser = 55.61 ± 2.28 and Gly = 156.9 ± 7.16) with p-value < 0.0001, indicative of depressed immune system and mitochondrial dysfunction.

Ganneru et al7 demonstrated the use of GC-MS based metabolomics in revealing metabolic perturbations in Carica papaya Linn. (papaya), which has been ripened either by the ripening practice (room temperature process as control) and/or ripening agents (calcium carbide and ethylene). The authors recorded significant alternations in 13 metabolites mainly sugars, amino acids, fatty acids, and organic acids as well as disturbances in five metabolic pathways due to different ripening practice/agents.

This Special issue also received four review manuscripts. Chandran et al's review8 underscored the role of quantitative metabolomics in early diagnosis of inborn errors of metabolism (IEM) in India. Given that the predictive cumulative incidence of IEMs is said to be ∼1:800 newborns in Indian population, applying LC-MS/MS-based screens using targeted and untargeted approaches new born screening for IEM opens up immense possibilities for the Indian healthcare system. Of note, we commend the impressive set of infographics and images created by the authors in this succinct review.

In another review on the application of magnetic resonance spectroscopy (MRS) in breast cancer, Sharma and Jagannathan9 compare the technology with mass spectrometry and demonstrate a handful of applications in biomedical research, which goes on to show its enormous potential in capturing the underlying metabolic reprogramming in breast cancer cells, in unravelling molecular biomarkers, and applications in in vitro and ex vivo studies.

A review by Puri et al10 highlights the role of diverse spectroscopic techniques in discovery of phytochemicals from medicinal plants. The manuscript introduces targeted and untargeted approaches, MS-based technologies such as GC-MS, LC-MS, and CE-MS, NMR-based strategy such as 2D NMR and solid-state NMR, multidimensional chromatography, and MS hyphenated NMR techniques in addition to providing information on medicinal plants, where metabolomics efforts were demonstrated to be successful in identification of bioactive principles. The authors also demonstrate the utility of mass spectral imaging (MSI) and GNPS (Global Natural Products Social Molecular Networking) as emerging approaches in novel metabolite discovery processes.

Gupta et al11 provided an account of opportunities in conducting metabolomics studies to investigate prevalent neurological disorders in India. The authors stress that diseases such as acute spinal cord injury, amyotrophic lateral sclerosis, tethered cord syndrome, spina bifida, stroke, epilepsy, Parkinson's disease, and glioblastoma can be investigated using MS and NMR-based approaches by allowing measurements of large numbers of metabolites in various disease pools that would allow quantification of “neurometabolites.”

In an exciting perspective, Phaple12 provided a unique dimension to the use of pharmaco-metabolomics in drug development and clinical research in India. The author noticed that although for one and half decades the field has made advances in providing clinical evidence towards personalized medicine, the discovered pharmaco-metabolomic biomarkers have not yet translated into the clinic due to a lack of large-scale validation. Furthermore, the author calls on the Indian pharmaceutical research bodies to embrace the constantly improving bioanalytical infrastructure to embark on this opportunity.

In addition to thanking all the authors for their contributions to this special issue on metabolomics in India, we would like to thank all the reviewers, who have invested their time to help us peer-review the manuscripts in a timely manner, and the journal's staff who have provided enormous logistics supports to help us pull this off together. As a first of its kind, this special issue will help motivate a generation of analytical scientists and metabolomicists in India, which will help move the field forward with greater impetus and vigor.

The authors declare no financial interests/personal relationships, which may be considered as potential competing interests.

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