- Open Access
Application of metabolomics in viral pneumonia treatment with traditional Chinese medicine
Chinese Medicine volume 14, Article number: 8 (2019)
Nowadays, traditional Chinese medicines (TCMs) have been reported to provide reliable therapies for viral pneumonia, but the therapeutic mechanism remains unknown. As a systemic approach, metabolomics provides an opportunity to clarify the action mechanism of TCMs, TCM syndromes or after TCM treatment. This review aims to provide the metabolomics evidence available on TCM-based therapeutic measures against viral pneumonia. Metabolomics has been gradually applied to the efficacy evaluation of TCMs in treatment of viral pneumonia and the metabolomics analysis exhibits a systemic metabolic shift in lipid, amino acids, and energy metabolism. Currently, most studies of TCM in treatment of viral pneumonia are untargeted metabolomics and further validations on targeted metabolomics should be carried out together with molecular biology technologies.
Pneumonia is the world’s leading cause of death in young children and elderly people. Many pathogens are associated with pneumonia, and now attention is turning to the importance of viruses as pathogens . In western medicine, viral pneumonia is defined as a disease in which there are gas exchange abnormalities at the alveolar level accompanied by inflammation of the lung parenchyma . While, in the theoretical system of traditional Chinese medicine (TCM), the etiologies of this disease are classified into external and internal causes. Exterior pathogenic “wind and heat” invades the weak lung (interior cause) through the skin, mouth or nose, causing lung qi obstruction and stagnation. The main pathological products are phlegm, heat and blood stasis, manifesting with fever, cough, dyspnea, wheezing, nasal flaring, etc. The basic treatment principles are to regulate the lung qi, resolve phlegm, and relieve cough and dyspnea. The TCM prescriptions is composed of various kinds of medicinal plants, animals and minerals in the form of oral liquid, powder and granules.
According to the TCM treatment principle, traditional Chinese medicines (TCMs) have been reported to cure viral pneumonia in lots of ancient literature and modern research [3,4,5,6,7]. Our research group has been engaged in TCM treatment of children with viral pneumonia for nearly 20 years. Jinxin oral liquid (JOL), modified from ma-xing-shi-gan decotion, is proved to have good treatment effects both in clinic and experimental studies . Although, TCMs in treatment of viral pneumonia have achieved certain therapeutic effects, the mechanism of TCMs remains unclear.
Omics technologies, which system biology bring, are valuable tools for TCM research. Metabolomics belongs to system biology and omics, is a new logical approach to search for functional small-molecules to evaluate the pharmacological effect of TCMs [9,10,11]. In recent years, our research group has conducted a series of metabolomics research to examine the effect of TCMs in treatment of viral pneumonia [12,13,14,15]. In this review, we try to do the summary of recent metabolomics research and seek more evidences for the reliability of TCM in treatment of in viral pneumonia.
Traditional Chinese Medicines (TCMs) and its application in viral pneumonia
TCMs have been reported to provide reliable therapy for almost 2500 years. Nowadays, TCMs are widely used for prevention and treatment of viral pneumonia in China and many other Asian countries . The most commonly used anti-virus substances in TCMs are plant elements, such as root, rhizome, leaf, flower, fruit, seed, etc. Other non-botanic substances including animal and mineral products are also utilized . Anti-virus TCM formulas originate from the profound experiences of practitioners with understanding of ancient Chinese medicine theories, and the methods of application have been passed down through oral history.
In recent research, TCMs were reported to boost body resistance against virus by modulating the immune response [17,18,19,20]. Many viruses have established sophisticated mechanisms to interact with the host immune system. TCMs have been shown to enhance antibody production, T cell proliferation, the expression of antigen specific CD4 + and CD8 + responses, and increase of the titers of IgG1, IgG2, and IgA. Along with the function to increase levels of Th1 type cytokine secretion and activation of alveolar macrophages, suppress Th2/Th17-responses, and maintain the balance between Th1 and Th2/Th17 cells for the prevention of viral pneumonia .
In addition, an increasing number of TCMs-derived active compounds, TCM herbs and formulas with direct antiviral activity are garnering evidence of experimental efficacy. TCMs can effectively inhibit viral attachment and cell internalization, in order to minimize the viral spread and replication. According to the literature and our previous research, resveratrol and baicalin exhibited certain antiviral activity against viruses in both plaque assay and mouse models . Taking Jin Xin oral liquid and Qing Fei oral liquid as examples of patent medicines , they have been proved to inhibit inflammation, reduce viral replication and viral load in the lung tissues. Along with direct antiviral activity, TCMs could be beneficial in preventing viral infection due to its immune-modulatory effect, producing of IFN- and TNF-. Both IFN- and TNF- belong to type I interferon (IFN), which contribute to the innate immunity against viral infection. More attention should be paid to type I interferon (IFN) signaling pathway, for its good efficacy in triggering multiple antiviral mechanisms and synergizing with IFN in promoting antiviral activities .
Metabolomics applications in precision medicine
Metabolomics is the systematic study of the metabolic profile that specific cellular processes leave behind, including cells, tissues, and body fluids . The metabolic profile provides a quantifiable readout of biochemical state from normal physiology to diverse pathophysiologies in a manner that is often not obvious from gene or protein levels . Mass spectrometry (MS) combined with softwares or platforms (Fig. 1), such as MetaboAnalyst 4.0 (https://www.metaboanalyst.ca) , XCMS  and MS-DIAL , are effective tools for metabolite separation and collecting the information of the molecular composition of samples [29, 30], which will greatly facilitate the interpretation of the metabolomics data.
Increasing results have highlighted the usefulness of metabolomics as a promising laboratory tool for discriminating different chronic lymphocytic leukemia molecular subgroups  and discovering biomarkers for coronary artery disease progression . The application of metabolomics to the prediction of the specific patient response to drug treatments is termed pharmacometabolomics, it is more closely associated to a patient´s pharmacological phenotype and could be more informative than genomic or proteomic data when trying to understand the mechanisms of inter-patient variability in response to drug therapy [33,34,35].
Examples that have emerged in the last few years demonstrating the potential of metabolomics tools and data in preclinical and clinical development. The study of metabolomics can potentially provide useful information for the diagnosis and prognosis of patients as well as for predicting pharmacological responses to specific interventions. Furthermore, specific metabolic signatures occur after drug treatment, thus providing information from pathways targeted or affected by drug therapy . Thus, metabolomics, as a kind of logical strategy, is needed to achieve the goal of precision medicine.
Metabolomics from precision medicine to viral pneumonia
Many microorganisms are associated with pneumonia, and now attention is turning to the importance of viruses as pathogens . The most commonly identified agents of viral pneumonia in children were respiratory syncytial virus (RSV, 11%), influenza viruses (IFV, 10%), parainfluenza viruses (PIV, 8%) and adenovirus (ADV, 3%) [37, 38]. With a full set of tests in adults, findings of three reports suggested that a third of adult cases of pneumonia were associated with viral infection [39,40,41]. Similar to findings of pediatric studies, viral pneumonia in adults were noted with IFV (8%), RSV (3%), PIV (2%), and ADV (2%) [42, 43]. Nowadays, probably the clinical bottleneck for viral pneumonia is an inappropriately low level of clinical suspicion and corresponding lack of laboratory testing and effective anti-viral treatment. In cases of viral pneumonia where influenza A or B are thought to be causative agents, patients may benefit from treatment with oseltamivir or zanamivir . For RSV pneumonia, RSV has no direct acting treatments. Ribavirin has been shown to exhibit potent activity against RSV in vivo and in vitro, however comparisons of the results of both animal and cell testing in humans have not yet been completed [44,45,46].
Over the past few years, increasing number of metabolomics studies have focused on the role of viral pneumonia (Table 1) or have studied the metabolic profiles after TCM treatment of viral pneumonia(Tables 2, 3). In this review, recent metabolomics research of viral pneumonia were classified according to the analytical methods used, such as nuclear magnetic resonance (NMR), gas chromatography–mass spectrometry (GC–MS) and liquid chromatography-MS (LC–MS) (Tables 1, 2 and 3). From Table 1 and Fig. 2, we can have a preliminary metabolic understanding of pneumonia infected with H7N9 virus. Serum levels of palmitic acid, erucic acid, and phytal may negatively correlate with the extent of lung inflammation after H7N9 infection. Moreover, the above significant metabolites were related to fatty acid metabolism, which may help to predict a fatal outcome after H7N9 virus infection. Meanwhile, metabolomics is also proved to be a highly sensitive and specific tool for the 90-day prognosis of mortality in H1N1 pneumonia [9, 10].
As a novel approach to understanding disease, metabolomics provides a “snapshot” in time of all metabolites present in a biological sample such as plasma, serum, urine, and many other specimens that may be obtained from either patients or experimental models. Recent reports have suggested that metabolomics analysis may provide clinicians with the opportunity to identify new biomarkers for detailed phenotypes and its progression in viral pneumonia (Table 1).
Evidences supporting the application of metabolomics in TCM
Entering 21st century, TCM as a holistic approach that attempts to balance the body, mind and spirit in individuals with the environment, is getting more and more popular in the whole world . However, the development of TCM also faces severe challenges and suffers from insufficient modern evidences owing to lack of scientific and technologic approaches. Fortunately, the property of metabolomics consists with the holistic thinking of TCM. Metabolomics may beneficially provide an opportunity to clarify the action mechanism of TCM and the meaning of evidence-based TCM by developing the systematic analysis of the metabolites and discovering various biomarkers and perturbed pathways on TCM syndromes or after TCM treatment.
In recent years, metabolomics has been gradually applied to research in the area of TCM and try to highlight the key role of metabolomics to resolve TCM issues. It may scientifically express the meaning of TCM syndromes and the efficacy of TCM treatment [47,48,49]. For example, based on GC–MS, a research group in China has established a rat model of myocardial ischemia with blood stasis syndrome and qi-yin deficiency syndrome. The endogenous metabolites in plasma were analyzed, and the metabolic profiles between the two TCM syndromes and normal rats were found to be significantly different . A research group carried out a comprehensive analysis of metabolic patterns of typical Jaundice syndrome (JS) and sub-types. They have identified 44 metabolites in JS. The most altered functional pathway was glutamate metabolism, synthesis, and degradation of ketone bodies, alanine and aspartate metabolism (Fig. 2). The results suggested that metabolomics method would be helpful to establishing a suitable model for reasonably evaluating disease syndrome, exploring pathological mechanism of the syndrome, clarifying the relationships between the syndrome and related diseases .
Wang et al. evaluated metabolomic characters of the hepatotoxicity induced by alcohol and the intervention effects of Yin Chen Hao Tang (YCHT), a classic traditional Chinese medicine formula composed of Flos Artemisiae, Gardeniae Jasminoidis, Fructus and Radix et Rhizoma Rhei for treatment of jaundice and liver disorders in China. The greatest difference in metabolic profiling was observed from alcohol-treated rats compared with the YCHT-treated rats . In Table 2, we summarized a kind of potential anti-virus compound-Baicalein synthesized from Scutellaria baicalensis Georgi, reported to be used in China for treating RSV pneumonia . In Table 3, anti-viral herbs and formulas were selected that have metabolomics evidences in treatment of viral pneumonia. These simple studies above demonstrated that metabonomics, one of the most important systems biology platforms, showed a potential for identifying and characterizing biochemical responses of organism to TCMs. Meanwhile, this strategy offered a practical method for performing intervened assessments of TCM in the future.
Metabolomics of TCMs in treatment of viral pneumonia
In ancient times, TCMs, as natural products, were successfully used to treat different ailments owing to their enhanced acceptability in human society, better compatibility with the body . TCMs make use of a vast array of medicinal plants, animals and minerals. Medicinal plants (trees, shrubs, grasses or vines), animals (invertebrates, insect, fish, amphibians, reptiles, mammals) and minerals can be used in different forms like active compounds, aqueous extracts, in fresh or powdered form, etc. .
Based on the holistic theory, there are five diagnostic methods in TCM, called inspection, auscultation, olfaction, inquiry, and palpation . Diseases are perceived as a disharmony (or imbalance) in the functions or interactions of yin, yang, qi, blood, organs, meridians etc. and of the interaction between the human body and the environment . According to TCM theory, the patterns of bodily disharmony are described in terms of eight major parameters: external and internal, yin and yang, hot and cold, and excess and deficiency. TCM formulas are made up with a relatively complete set of hierarchy principles, the so-called “monarch,” “minister,” “assistant,” and “guide components” [8, 56]. TCM practitioners uphold the principle of making the ancient serve the contemporary, and strive to promote the modernization of TCM by making every effort to carry on the good traditions and practices of Chinese medicine, and promote the innovative development of TCM for health preservation.
Eight published metabolomics & TCM extracts-related articles were studied using different research engines like PubMed, Google, Google-scholar, Science Direct and CNKI. Metabolites in Table 1, including triglycerides (TGs), lysophosphatidylethanolamines (LysoPEs), lysophosphatidylcholines (LysoPCs), phosphatidylethanolamines (PEs), phosphatidylcholines (PCs), ceramides, amino acids and carbohydrates were perturbed in viral pneumonia groups [9, 10, 57, 58]. Metabolomics data (Table 2) suggested that the active compound Baicalein, herbs, such as Scutellaria baicalensis Georgi, Polygonum cuspidatum Sieb. Et Zucc, Flos Lonicerae Japonica and Fructus Forsythiae were effective to combat viral pneumonia [12,13,14, 59].
Five published metabolomics & TCM formulas-related articles were listed. 17 TCM-related plant species and 4 TCM formulas (or Chinese patent medicines) were effective to combat viral pneumonia (Table 3). In which, modified Jiu Wei Qiang Huo decoction (MJWQH), Mahuang Xixin Fuzi decoction (MXF) and Pudilan Xiaoyan Oral Liquid (PDL) were effective in treatment of H1N1 pneumonia. Jinxin oral liquid (JOL) is an ancient formula widely used in the treatment of pneumonia and asthma . To investigate the mechanism of the effect of JOL in RSV infected mice, metabolomics approaches based on LC–MS and GC–MS were applied. Samples, such as mice plasma, lungs and spleen were collected. After JOL treatment, compared with the model group, glutamine and glutamic acid were upregulated and lactic acid, urea were downregulated consistently in different types of samples. Most types of lipids were elevated after the TCM treatment.
Conclusions and future considerations
Metabolomics, as a systemic approach, is a “top-down” strategy to reflect the function of living organisms from the end products of the metabolic network . It will also help to understand the metabolic changes of a complete system under different kinds of physiological and pathological conditions. This property of metabolomics agrees with the holistic thinking of TCMs, suggesting it has the potential to improve our understanding of the theory behind the evidence-based TCM. This review revealed that many of the important information like TCMs preparation, part used, TCMs-derived active compounds, TCMs including aqueous extracts and traditional Chinese medical formulas (or patent medicines) in treatment of viral pneumonia.
From metabolomics research that has been conducted in this review, we can see that all the significant pathways (Fig. 2) in viral pneumonia are related to tricarboxylic acid cycle (TCA). Amino acids are active biomarkers in those pathways, including tryptophan metabolism, alanine, aspartate and glutamate metabolism, arginine and proline metabolism, d-glutamine and d-glutamate metabolism, phenylalanine metabolism, glycine, serine and threonine metabolism, valine, leucine and isoleucine biosynthesis, cysteine and methionine metabolism, vitamin B6 metabolism. Nucleotides, The products of amino acids, also contribute greatly to TCA. Nucleotides metabolism is composed of purine metabolism, pyrimidine metabolism, glutathione metabolism. Based on our previous research, arachidonic acid, fatty acid and lipid metabolism is turning to take the leading role in TCMs treatment of viral pneumonia. Currently, most studies of TCM in treatment of viral pneumonia are untargeted metabolomics and further validations should focus on targeted metabolomics combined with molecular biology technologies.
Metabolomics is going to be a powerful approach to support TCM research in the future. However, the issues and future directions of using metabolomics in TCM studies should be pointed out. The current metabolomics technologies in research on TCM is still in its infancy due to its chemical nature of multi-component mixtures that often possess their own inherent holistic bioactivities. We also highlight the potential role of metabolomics technologies in evidence-based studies of TCM disease-syndrome combination models. Very limited number of metabolomics research provides toxic profile of TCMs, metabolomics toxicity studies should be carried out for TCMs in animal system to establish a safe dose range and specific adverse effect. Further metabolomics-pharmacological research is required to promote the traditional knowledge of TCM and take it to the light of science.
Ruuskanen O, Lahti E, Jennings LC, Murdoch DR. Viral pneumonia. Lancet. 2011;377:1264–75.
Figueiredo LTM. Viral pneumonia: epidemiological, clinical, pathophysiological and therapeutic aspects. Jornal Brasileiro de Pneumologia. 2009;35:899–906.
Chen K, Yu B. Certain progress of clinical research on Chinese integrative medicine. Chin Med J. 1999;112:934–7.
Lin L, Xie T, Wang SC, Shan JJ. Metabolomics applied to pediatric diseases: opportunities and challenges. J Nanjing univ Chin Med. 2017;33:182–6.
Yang Y, Wang S-C, Li R, Ai J. Evaluation of TCM on children’s respiratory syncytial virus pneumonia with” wind and heat blocking the lung syndrome” and” phlegm-heat obstructing the lung syndrome” by multi-center stratified randomization and equal control methods. J Beijing Univ Trad Chin Med. 2008;9:013.
Tong X, Li A, Zhang Z, Duan J, Chen X, Hua C, Zhao D, Xu Y, Shi X, Li P. TCM treatment of infectious atypical pneumonia—a report of 16 cases. J Trad Chin Med. 2004;24:266–9.
Xudong X, Jiyan Z, Kangyu C. Clinical Observation on 60 Patients with Acute Pneumonia (Type of Phlegm-Heat Obstructing Lungs) Treated by Tanreqing Injecion [J]. J Emerg Trad Chin Med. 2003;2:000.
Lin LL, Shan JJ, Xie T, Xu JY, Shen CS, Di LQ, Chen JB, Wang SC. Application of traditional Chinese medical herbs in prevention and treatment of respiratory syncytial virus. Evid Based Complement Altern Med. 2016;2016:6082729.
Sun X, Song L, Feng S, Li L, Yu H, Wang Q, Wang X, Hou Z, Li X, Li Y. Fatty acid metabolism is associated with disease severity after H7N9 infection. EBioMedicine. 2018;33:218–29.
Banoei MM, Vogel HJ, Weljie AM, Kumar A, Yende S, Angus DC, Winston BW. Plasma metabolomics for the diagnosis and prognosis of H1N1 influenza pneumonia. Crit Care. 2017;21:97.
Lu C, Jiang Z, Fan X, Liao G, Li S, He C, Han L, Luo S, Liu Y, Lin H. A metabonomic approach to the effect evaluation of treatment in patients infected with influenza A (H1N1). Talanta. 2012;100:51–6.
Meng X. Regularity of compound herbal formula for pneumonia treated by Professor Wang Shouchuan and anti-RSV effect of Jinxin oral liquid and baicalein based on metabolomics. NJUCM. 2017.
Du LN, Shan JJ, Xie T, Wang SC. Lipidomics study on antiviral effects of baical skullcap root extraction based on liquid chromatography-mass spectrography. CJTCMP. 2015;30:1728–33.
Xie T, Du LN, Xu JY, Shen CS, Wang SC, Shan JJ. Metabonomics study on the effect of Polygonum Cuspidatumon anti-respiratory syncytial virus (RSV) basing on lipid metabolism. World Chin Med. 2016;9:1670–3.
L-n Du, Xie T, Xu J-Y, Kang A, Di L-Q, Shan J-J, Wang S-C. A metabolomics approach to studying the effects of Jinxin oral liquid on RSV-infected mice using UPLC/LTQ-Orbitrap mass spectrometry. J Ethnopharmacol. 2015;174:25–36.
Wiseman N. Traditional Chinese medicine: a brief outline. J Chem Inf Comput Sci. 2002;42:445–55.
Li Y, Ooi LS, Wang H, But PP, Ooi VE. Antiviral activities of medicinal herbs traditionally used in southern mainland China. Phytother Res. 2004;18:718–22.
Jong Seok L, Kyoung CM, Hye Suk H, Eun-Ju K, Yu-Na L, Young-Man K, Min-Chul K, Ki-Hye K, Young-Tae L, Yu-Jin J. Ginseng diminishes lung disease in mice immunized with formalin-inactivated respiratory syncytial virus after challenge by modulating host immune responses. J Interferon Cytokine Res. 2014;34:902–14.
Wang KC, Chang JS, Chiang LC, Lin CC. Sheng-Ma-Ge-Gen-Tang (Shoma-kakkon-to) inhibited cytopathic effect of human respiratory syncytial virus in cell lines of human respiratory tract. J Ethnopharmacol. 2011;135:538–44.
Lin-Lin M, Miao G, Hui-Qiang W, Jin-Qiu Y, Jian-Dong J, Yu-Huan L. Antiviral activities of several oral traditional chinese medicines against influenza viruses. Evid Based Complement Altern Med. 2015;2015:1–9.
Lin LL, Shan JJ, Xie T, Xu JY, Shen CS, Di LQ, Chen JB, Wang SC. Application of traditional chinese medical herbs in prevention and treatment of respiratory syncytial virus. Evid Based Complement Alternat Med. 2016;2016:1–13.
Shi H, Ren K, Lv B, Zhang W, Zhao Y, Tan RX, Li E. Baicalin from Scutellaria baicalensis blocks respiratory syncytial virus (RSV) infection and reduces inflammatory cell infiltration and lung injury in mice. Sci Rep. 2016;6:35851.
Kernbauer E, Ding Y, Cadwell K. An enteric virus can replace the beneficial function of commensal bacteria. Nature. 2014;516:94.
Daviss B. Growing pains for metabolomics: the newest’omic science is producing results–and more data than researchers know what to do with. Scientist. 2005;19:25–9.
Beger RD, Dunn W, Schmidt MA, Gross SS, Kirwan JA, Cascante M, Brennan L, Wishart DS, Oresic M, Hankemeier T. Metabolomics enables precision medicine:“a white paper, community perspective”. Metabolomics. 2016;12:149.
Chong J, Soufan O, Li C, Caraus I, Li S, Bourque G, Wishart DS, Xia J. MetaboAnalyst 40: towards more transparent and integrative metabolomics analysis. Nucleic Acids Res. 2018;46(W1):W486–94.
Smith CA, Want EJ, O’Maille G, Abagyan R, Siuzdak G. XCMS: processing mass spectrometry data for metabolite profiling using nonlinear peak alignment, matching, and identification. Anal Chem. 2006;78:779–87.
Tsugawa H, Cajka T, Kind T, Ma Y, Higgins B, Ikeda K, Kanazawa M, VanderGheynst J, Fiehn O, Arita M. MS-DIAL: data-independent MS/MS deconvolution for comprehensive metabolome analysis. Nat Methods. 2015;12:523.
Liu X, Locasale JW. Metabolomics: a primer. Trends Biochem Sci. 2017;42:274–84.
Dunn WB, Broadhurst DI, Atherton HJ, Goodacre R, Griffin JL. Systems level studies of mammalian metabolomes: the roles of mass spectrometry and nuclear magnetic resonance spectroscopy. Chem Soc Rev. 2011;40:387–426.
MacIntyre D, Jimenez B, Lewintre EJ, Martín CR, Schäfer H, Ballesteros CG, Mayans JR, Spraul M, Garcia-Conde J, Pineda-Lucena A. Serum metabolome analysis by 1 H-NMR reveals differences between chronic lymphocytic leukaemia molecular subgroups. Leukemia. 2010;24:788.
Fan Y, Li Y, Chen Y, Zhao Y-J, Liu L-W, Li J, Wang S-L, Alolga RN, Yin Y, Wang X-M. Comprehensive metabolomic characterization of coronary artery diseases. J Am Coll Cardiol. 2016;68:1281–93.
Clayton TA, Lindon JC, Cloarec O, Antti H, Charuel C, Hanton G, Provost J-P, Le Net J-L, Baker D, Walley RJ. Pharmaco-metabonomic phenotyping and personalized drug treatment. Nature. 2006;440:1073.
Clayton TA, Baker D, Lindon JC, Everett JR, Nicholson JK. Pharmacometabonomic identification of a significant host-microbiome metabolic interaction affecting human drug metabolism. Proc Natl Acad Sci. 2009;106:14728–33.
Everett JR, Loo RL, Pullen FS. Pharmacometabonomics and personalized medicine. Ann Clin Biochem. 2013;50:523–45.
Puchades-Carrasco L, Pineda-Lucena A. Metabolomics applications in precision medicine: An oncological perspective. Curr Top Med Chem. 2017;17:2740–51.
Committee BTSoSoC. BTS guidelines for the management of community acquired pneumonia in childhood. Thorax. 2002;57:i1–24.
McIntosh K. Community-acquired pneumonia in children. N Engl J Med. 2002;346:429–37.
Jennings LC, Anderson TP, Beynon KA, Chua A, Laing RT, Werno AM, Young SA, Chambers ST, Murdoch DR. Incidence and characteristics of viral community-acquired pneumonia in adults. Thorax. 2008;63:42–8.
Johansson N, Kalin M, Tiveljung-Lindell A, Giske CG, Hedlund J. Etiology of community-acquired pneumonia: increased microbiological yield with new diagnostic methods. Clin Infect Dis. 2010;50:202–9.
Lieberman D, Shimoni A, Shemer-Avni Y, Keren-Naos A, Shtainberg R, Lieberman D. Respiratory viruses in adults with community-acquired pneumonia. Chest. 2010;138:811–6.
Harris M, Clark J, Coote N, Fletcher P, Harnden A, McKean M, Thomson A. British Thoracic Society guidelines for the management of community acquired pneumonia in children: update 2011. Thorax. 2011;66:ii1–23.
Mandell LA, Wunderink RG, Anzueto A, Bartlett JG, Campbell GD, Dean NC, Dowell SF, File TM Jr, Musher DM, Niederman MS. Infectious Diseases Society of America/American Thoracic Society consensus guidelines on the management of community-acquired pneumonia in adults. Clin Infect Dis. 2007;44:S27–72.
Rudraraju R, Jones B, Sealy R, Surman S, Hurwitz J. Respiratory syncytial virus: current progress in vaccine development. Viruses. 2013;5:577–94.
Saravolatz LD, Empey KM, Peebles RS Jr, Kolls JK. Pharmacologic advances in the treatment and prevention of respiratory syncytial virus. Clin Infect Dis. 2010;50:1258–67.
Welliver RC. Pharmacotherapy of respiratory syncytial virus infection. Curr Opin Pharmacol. 2010;10:289–93.
Wang X, Sun H, Zhang A, Sun W, Wang P, Wang Z. Potential role of metabolomics apporoaches in the area of traditional Chinese medicine: as pillars of the bridge between Chinese and Western medicine. J Pharm Biomed Anal. 2011;55:859–68.
Cao H, Zhang A, Zhang H, Sun H, Wang X. The application of metabolomics in traditional Chinese medicine opens up a dialogue between Chinese and Western medicine. Phytother Res. 2015;29:159–66.
Zhang A, Sun H, Wang Z, Sun W, Wang P, Wang X. Metabolomics: towards understanding traditional Chinese medicine. Planta Med. 2010;76:2026–35.
Yan B, Hao HP, Wang GJ, Zhu XX, Cha WB, et al. Metabolomics characterization and identification of a rat model of myocardial ischemia with blood stasis syndrome and qi-yin deficiency syndrome. Sci China Ser C. 2008;38:1143–51.
Wang X, Zhang A, Han Y, Wang P, Sun H, Song G, Dong T, Yuan Y, Yuan X, Zhang M. Urine metabolomics analysis for biomarker discovery and detection of jaundice syndrome in patients with liver disease. Mol Cell Proteomics. 2012;11:370–80.
Wang X, Lv H, Sun H, Liu L, Yang B, Sun W, Wang P, Zhou D, Zhao L, Dou S. Metabolic urinary profiling of alcohol hepatotoxicity and intervention effects of Yin Chen Hao Tang in rats using ultra-performance liquid chromatography/electrospray ionization quadruple time-of-flight mass spectrometry. J Pharm Biomed Anal. 2008;48:1161–8.
Li G-Z, Chung K-F, Poon J. Evidence-based patient classification for Traditional Chinese Medicine. Evid Based Complement Altern Med. 2015;2015:168343.
Liangyue D, Yijun G, Shuhui H, Xiaoping J, Yang L, Rufen W. Chinese acupuncture and moxibustion. Trad Med Asia. 2001, 75.
Sud M, Fahy E, Cotter D, Azam K, Vadivelu I, Burant C, Edison A, Fiehn O, Higashi R, Nair KS. Metabolomics Workbench: an international repository for metabolomics data and metadata, metabolite standards, protocols, tutorials and training, and analysis tools. Nucleic Acids Res. 2015;44:D463–70.
Li T, Peng T. Traditional Chinese herbal medicine as a source of molecules with antiviral activity. Antiviral Res. 2013;97:1–9.
Stewart CJ, Hasegawa K, Wong MC, Ajami NJ, Petrosino JF, Piedra PA, Espinola JA, Tierney CN, Camargo CA Jr, Mansbach JM. Respiratory syncytial virus and rhinovirus bronchiolitis are associated with distinct metabolic pathways. J Infect Dis. 2017;217:1160–9.
Cui L, Zheng D, Lee YH, Chan TK, Kumar Y, Ho WE, Chen JZ, Tannenbaum SR, Ong CN. Metabolomics investigation reveals metabolite mediators associated with acute lung injury and repair in a murine model of influenza pneumonia. Sci Rep. 2016;6:26076.
Qian W, Kang A, Peng L, Xie T, Ji J, Zhou W, Shan J, Di L. Gas chromatography-mass spectrometry based plasma metabolomics of H1N1-induced inflammation in mice and intervention with Flos Lonicerae Japonica-Fructus Forsythiae herb pair. J Chromatogr B. 2018;1092:122–30.
Chen L, Fan J, Li Y, Shi X, Ju D, Yan Q, Yan X, Han L, Zhu H. Modified Jiu Wei Qiang Huo decoction improves dysfunctional metabolomics in influenza A pneumonia-infected mice. Biomed Chromatogr. 2014;28:468–74.
Li C, Sun QH, Fu YP, Gong LL, Yang Y, Jiang HY, et al. Mechanism analysis of mice model with H1N1 influenza virus intervened by Mahuang Xixin fuzi tang based on fecal metabolomics. Chin J Exp Trad Med Formul. 2017;23:74–9.
Wenjuan Qian, Rui Yang, Tong Xie, Weifeng Yao, An Kang, Liuqing Di, Jinjun Shan. Metabolomics on Pudilan Xiaoyan Oral Liquid in treatment of Influenza A/H1N1-induced pneumonia based on GC-MS. Chin Trad Herbal Drugs. 2018;49:2958–63.
Based on the contributions, LL and HY are listed as the first authors while JS is the correspondence. JS, LL, HY, XZ and SW conceived, designed the study and drafted the manuscript. JC, HX and TX were major contributors in reviewing the manuscript. All authors read and approved the final manuscript.
We want to thank all the members and students from the laboratory of Jiangsu Key Laboratory of Pediatric Respiratory Disease, Nanjing University of Chinese medicine.
The authors declare that they have no competing interests.
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This work was supported by the National Natural Science Foundation of China (81774156, 81704118, 81373688); the Natural Science Foundation of Jiangsu Province (BK20161573, BK20151004); the Major Research Plan of Natural Science Foundation of the Higher Education Institutions of Jiangsu Province (16KJA360002, 17KJB360007); Jiangsu Provincial 333 High Levels Talents Cultivation Project (BRA2016427); Jiangsu Provincial Six Talent Peaks Project (YY-022); the Project of the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD).The content of this manuscript is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
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