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Insights on the Biomarker Identification for Chronic Gastritis with TCM Damp Phlegm Pattern [Letter]
Received 12 November 2024
Accepted for publication 21 November 2024
Published 22 November 2024 Volume 2024:17 Pages 9507—9508
DOI https://doi.org/10.2147/JIR.S506160
Checked for plagiarism Yes
Editor who approved publication: Professor Ning Quan
Jian Hu,1,2,* Xiaoyun Liu,1,2,* Peng Yao1,2
1First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, People’s Republic of China; 2National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Peng Yao, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine/National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, 150006, People’s Republic of China, Email [email protected]
View the original paper by Mr You and colleagues
A Response to Letter has been published for this article.
Dear editor
We appreciate the You et al’s efforts in exploring the metabolomic changes in tongue coatings to identify biomarkers for chronic gastritis (CG) with the Damp Phlegm (DP) pattern.1 However, several critical issues warrant further consideration and clarification.
Firstly, the authors have emphasized the pivotal role of lipids and lipid-like compounds as the primary differential metabolites in patients with the DP pattern of CG. Although this discovery is noteworthy, they have not provided a thorough mechanistic elucidation of how these metabolic perturbations contribute to the etiology of DP-pattern. Specifically, the precise pathways or interactions that precipitate these lipid alterations remain to be delineated. A deeper understanding of these mechanisms is indispensable for comprehending the disease progression and devising targeted therapeutic strategies.
Secondly, the diagnostic model, formulated using phenol, 2,6-diaminoheptanedioic acid, and N-hexadecanoyl pyrrolidine, has exhibited high levels of accuracy, specificity, and sensitivity. Nonetheless, the authors acknowledge the constraints imposed by the sample size and population distribution. With a cohort of only 300 patients, the generalizability of these findings to a wider population remains uncertain. Moreover, while the external validation set comprising 50 patients shows promise, it is still relatively limited in size. To validate the robustness and applicability of these biomarkers, larger, multicenter studies encompassing diverse ethnic and geographic populations are imperative.
Although this study focuses on the DP pattern in CG, the diagnostic criteria for DP pattern were derived from textbooks, and while the authors reported diagnostic items, they did not disclose the specific process for diagnosing DP pattern. Was the diagnosis made by consensus among two senior Chinese medicine experts with advanced professional titles? The readers are left uninformed. Consequently, the clinical validity of criteria constructed without diagnostic trials is questionable. Furthermore, the authors have underscored the significance of sphingolipid metabolism in the pathophysiology of DP-pattern. Nevertheless, the precise functional implications of the identified sphingolipid metabolites, notably sphinganine 1-phosphate and sphingomyelin, remain speculative at present. Recent findings suggest that these sphingolipid metabolites may be associated with CG beyond being specific to the DP phenotype.2,3
Lastly, the article focuses solely on tongue coating metabolomics without considering other potential biomarkers or diagnostic modalities. While tongue coating analysis is a non-invasive and convenient method, integrating it with other omics approaches (eg, genomics, proteomics, and metagenomics) may provide a more holistic understanding of CG.4 By integrating these omics techniques, the identification of extremely early-stage cancer can be facilitated, thus promoting the discovery of early diagnostic markers and overcoming the challenge of diagnosing cases where traditional symptoms are absent or indistinct. Indeed, tongue-coating proteins5 have already showcased their potential as a promising indicator for identifying high-risk groups for gastric cancer, further highlighting the significance of this multidisciplinary approach.
Future research should address these concerns by conducting larger, multicenter studies, exploring the underlying mechanisms of metabolic alterations, and integrating multiple omics approaches for a holistic understanding of CG with the DP pattern.
Disclosure
The authors report no conflicts of interest in this communication.
References
1. You Z, Zhang J, Xu Y, et al. Identification of the biomarkers for chronic gastritis with TCM damp phlegm pattern by using tongue coating metabolomics. J Inflamm Res. 2024;17:8027–8045. doi:10.2147/jir.S480307
2. Mu X, Ji C, Wang Q, et al. Non-targeted metabolomics reveals diagnostic biomarker in the tongue coating of patients with chronic gastritis. J Pharm Biomed Anal. 2019;174:541–551. doi:10.1016/j.jpba.2019.06.025
3. Shixiong Z, Shaowei L, Zeqi Y, et al. Study on the characteristics of traditional Chinese medicine syndromes in patients with erosive gastritis based on metabolomics. Int J Anal Chem. 2024;2024:6684677. doi:10.1155/2024/6684677
4. Chen J, Sun Y, Li J, et al. In-depth metaproteomics analysis of tongue coating for gastric cancer: a multicenter diagnostic research study. Microbiome. 2024;12(1):6. doi:10.1186/s40168-023-01730-8
5. Cui J, Cui H, Yang M, et al. Tongue coating microbiome as a potential biomarker for gastritis including precancerous cascade. Protein Cell. 2019;10(7):496–509. doi:10.1007/s13238-018-0596-6
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