Chemical Labeling Research Articles

Deciphering Aphanomyces euteiches-pea-biocontrol bacterium interactions through untargeted metabolomics

Aphanomyces euteiches causes root rot in pea, leading to significant yield losses. However, the metabolites involved in this pathosystem have not been thoroughly studied. This study aimed to fill this gap and explore mechanisms of bacterial suppression of A. euteiches via untargeted metabolomics using pea grown in a controlled environment. Chemical isotope labeling (CIL), followed by liquid chromatography-mass spectrometry (LC–MS), was used for metabolite separation and detection. Univariate and multivariate analyses showed clear separation of metabolites from pathogen-treated pea roots and roots from other treatments. A three-tier approach positively or putatively identified 5249 peak pairs or metabolites. Of these, 403 were positively identified in tier 1; 940 were putatively identified with high confidence in tier 2. There were substantial changes in amino acid pool, and fatty acid and phenylpropanoid pathway products. More metabolites, including salicylic and jasmonic acids, were upregulated than downregulated in A. euteiches-infected roots. 1-aminocyclopropane-1-carboxylic acid and 12-oxophytodienoic acid were upregulated in A. euteiches + bacterium-treated roots compared to A. euteiches-infected roots. A great number of metabolites were up- or down-regulated in response to A. euteiches infection compared with the control and A. euteiches + bacterium-treated plants. The results of this study could facilitate improved disease management.

Unraveling the enigma: housekeeping gene Ugt1a7c as a universal biomarker for microglia.

Microglia, brain resident macrophages, play multiple roles in maintaining homeostasis, including immunity, surveillance, and protecting the central nervous system through their distinct activation processes. Identifying all types of microglia-driven populations is crucial due to the presence of various phenotypes that differ based on developmental stages or activation states. During embryonic development, the E8.5 yolk sac contains erythromyeloid progenitors that go through different growth phases, eventually resulting in the formation of microglia. In addition, microglia are present in neurological diseases as a diverse population. So far, no individual biomarker for microglia has been discovered that can accurately identify and monitor their development and attributes. Here, we highlight the newly defined biomarker of mouse microglia, UGT1A7C, which exhibits superior stability in expression during microglia development and activation compared to other known microglia biomarkers. The UGT1A7C sensing chemical probe labels all microglia in the 3xTG AD mouse model. The expression of Ugt1a7c is stable during development, with only a 4-fold variation, while other microglia biomarkers, such as Csf1r and Cx3cr1, exhibit at least a 10-fold difference. The UGT1A7C expression remains constant throughout its lifespan. In addition, the expression and activity of UGT1A7C are the same in response to different types of inflammatory activators' treatment in vitro. We propose employing UGT1A7C as the representative biomarker for microglia, irrespective of their developmental state, age, or activation status. Using UGT1A7C can reduce the requirement for using multiple biomarkers, enhance the precision of microglia analysis, and even be utilized as a standard for gene/protein expression.

Efficient Supervised Pretraining of Swin-Transformer for Virtual Staining of Microscopy Images.

Fluorescence staining is an important technique in life science for labeling cellular constituents. However, it also suffers from being time-consuming, having difficulty in simultaneous labeling, etc. Thus, virtual staining, which does not rely on chemical labeling, has been introduced. Recently, deep learning models such as transformers have been applied to virtual staining tasks. However, their performance relies on large-scale pretraining, hindering their development in the field. To reduce the reliance on large amounts of computation and data, we construct a Swin-transformer model and propose an efficient supervised pretraining method based on the masked autoencoder (MAE). Specifically, we adopt downsampling and grid sampling to mask 75% of pixels and reduce the number of tokens. The pretraining time of our method is only 1/16 compared with the original MAE. We also design a supervised proxy task to predict stained images with multiple styles instead of masked pixels. Additionally, most virtual staining approaches are based on private datasets and evaluated by different metrics, making a fair comparison difficult. Therefore, we develop a standard benchmark based on three public datasets and build a baseline for the convenience of future researchers. We conduct extensive experiments on three benchmark datasets, and the experimental results show the proposed method achieves the best performance both quantitatively and qualitatively. In addition, ablation studies are conducted, and experimental results illustrate the effectiveness of the proposed pretraining method. The benchmark and code are available at https://github.com/birkhoffkiki/CAS-Transformer.

Assessing Therapy and Rehabilitation Comprehension of Chemical Labelling and Forming Chemical Safety Competence Specialists

Introduction. Considering the higher risk of man-made chemical disasters due to military operations, the demand for the training of qualified therapists and rehabilitators is increasing. Future healthcare professionals should be competent in chemical safety and fully possess information on the designation and classification of hazardous substances and the labelling of chemical substances. Therefore, the relevance of their competent risk assessment is growing regarding the use of dangerous chemical substances of an inorganic and organic nature and their anthropogenic influence.
 Aim and tasks. The paper aims to determine the formation of chemical safety competence among future specialists in therapy and rehabilitation.
 The results. A questionnaire established that future rehabilitators should acquire chemical safety competence to decipher hazard markings and possess information about the rules for working with chemicals based on a detailed study of the marking and labelling of chemical substances and rules for their use and disposal. Only 47.1% of the respondents (according to their assessment) knew the rules for handling chemicals, and 41.2% deciphered a potential danger to human health (carcinogenic effect). However, 88.2% of the higher education students interviewed wanted to develop chemical safety competence using unique chemical safety cards.
 Conclusions. The correct interpretation of the marking constituent elements allows for avoiding accidents and injuries while handling chemicals, and in the moment of a threat to human health or damage, allows the application of the given algorithm for providing first aid. Therefore, understanding the main components of chemical safety by future rehabilitators is possible through applying relevant knowledge, skills and abilities in further professional activities. However, future therapists and rehabilitators cannot correctly decipher the designation of the carcinogenic danger and do not have complete information about the rules for working with chemical substances. Therefore, it is necessary to conduct additional activities for future therapists and rehabilitators for their better understanding of the rules for handling chemicals and deciphering the dangers indicated on the labels of chemical products.

Qualitative and Quantitative Analytical Techniques of Nucleic Acid Modification Based on Mass Spectrometry for Biomarker Discovery.

Nucleic acid modifications play important roles in biological activities and disease occurrences, and have been considered as cancer biomarkers. Due to the relatively low amount of nucleic acid modifications in biological samples, it is necessary to develop sensitive and reliable qualitative and quantitative methods to reveal the content of any modifications. In this review, the key processes affecting the qualitative and quantitative analyses are discussed, such as sample digestion, nucleoside extraction, chemical labeling, chromatographic separation, mass spectrometry detection, and data processing. The improvement of the detection sensitivity and specificity of analytical methods based on mass spectrometry makes it possible to study low-abundance modifications and their biological functions. Some typical nucleic acid modifications and their potential as biomarkers are displayed, and efforts to improve diagnostic accuracy are discussed. Future perspectives are raised for this research field.

Whole-Genome Mapping of Epigenetic Modification of 5-Formylcytosine at Single-Base Resolution by Chemical Labeling Enrichment and Deamination Sequencing.

DNA cytosine methylation (5-methylcytosine, 5mC) is a predominant epigenetic modification that plays a critical role in a variety of biological and pathological processes in mammals. In active DNA demethylation, the 10-11 translocation (TET) dioxygenases can sequentially oxidize 5mC to generate three modified forms of cytosine, 5-hydroxymethylcytosine (5hmC), 5-formylcytosine (5fC), and 5-carboxylcytosine (5caC). Beyond being a demethylation intermediate, recent studies have shown that 5fC has regulatory functions in gene expression and chromatin organization. While some methods have been developed to detect 5fC, genome-wide mapping of 5fC at base resolution is still highly desirable. Herein, we propose a chemical labeling enrichment and deamination sequencing (CLED-seq) method for detecting 5fC in genomic DNA at single-base resolution. The CLED-seq method utilizes selective labeling and enrichment of 5fC-containing DNA fragments, followed by deamination mediated by apolipoprotein B mRNA-editing catalytic polypeptide-like 3A (APOBEC3A or A3A) and sequencing. In the CLED-seq process, while all C, 5mC, and 5hmC are interpreted as T during sequencing, 5fC is still read as C, enabling the precise detection of 5fC in DNA. Using the proposed CLED-seq method, we accomplished genome-wide mapping of 5fC in mouse embryonic stem cells. The mapping study revealed that promoter regions enriched with 5fC overlapped with H3K4me1, H3K4me3, and H3K27ac marks. These findings suggest a correlation between 5fC marks and active gene expression in mESCs. In conclusion, CLED-seq is a straightforward, bisulfite-free method that offers a valuable tool for detecting 5fC in genomes at a single-base resolution.

Quantitative evaluation of dielectrophoretic separation efficiency of cancer exosomes based on fluorescence imaging

Liquid biopsies for cancer diagnosis using exosomes have been studied. Separating cancer cell-derived exosomes from a sample mixture is crucial, especially when they do not dominate the sample at an early stage of cancer. A method based on their electrical properties could provide a simpler separation than immune-affinity methods. We have identified the differences in electrical properties of cancerous exosomes from those of normal ones, suggesting the possibility for their dielectrophoresis (DEP) based separation. This study separated cancerous exosomes from a mixture of normal exosomes. The DEP of fluorescence-labeled exosomes suspended in aqueous media with varying electrical conductivities was investigated. The observed DEP was quantitatively evaluated using the normalization method accounting for the fluorescence fading effect. The results showed that the cancerous exosomes were preferentially concentrated under the appropriate conditions. This suggests that DEP can enable the selective capture of cancer exosomes without chemical labeling.

Analyses of plasma metabolites using a high performance four-channel CIL LC-MS method and identification of metabolites associated with enteric methane emissions in beef cattle.

Reducing enteric methane (one greenhouse gas) emissions from beef cattle not only can be beneficial in reducing global warming, but also improve efficiency of nutrient utilization in the production system. However, direct measurement of enteric methane emissions on individual cattle is difficult and expensive. The objective of this study was to detect plasma metabolites that are associated with enteric methane emissions in beef cattle. Average enteric methane emissions (CH4) per day (AVG_DAILYCH4) for each individual cattle were measured using the GreenFeed emission monitoring (GEM) unit system, and beef cattle with divergent AVG_DAILYCH4 from Angus (n = 10 for the low CH4 group and 9 for the high CH4 group), Charolais (n = 10 for low and 10 for = high), and Kinsella Composite (n = 10 for low and 10 for high) populations were used for plasma metabolite quantification and metabolite-CH4 association analyses. Blood samples of these cattle were collected near the end of the GEM system tests and a high performance four-channel chemical isotope labeling (CIL) liquid chromatography (LC) mass spectrometer (MS) method was applied to identify and quantify concentrations of metabolites. The four-channel CIL LC-MS method detected 4235 metabolites, of which 1105 were found to be significantly associated with AVG_DAILYCH4 by a t-test, while 1305 were significantly associated with AVG_DAILYCH4 by a regression analysis at p<0.05. Both the results of the t-test and regression analysis revealed that metabolites that were associated with enteric methane emissions in beef cattle were largely breed-specific whereas 4.29% to 6.39% CH4 associated metabolites were common across the three breed populations and 11.07% to 19.08% were common between two breed populations. Pathway analyses of the CH4 associated metabolites identified top enriched molecular processes for each breed population, including arginine and proline metabolism, arginine biosynthesis, butanoate metabolism, and glutathione metabolism for Angus; beta-alanine metabolism, pyruvate metabolism, glycolysis / gluconeogenesis, and citrate cycle (TCA cycle) for Charolais; phenylalanine, tyrosine and tryptophan biosynthesis, phenylalanine metabolism, arginine biosynthesis, and arginine and proline metabolism for Kinsella Composite. The detected CH4 associated metabolites and enriched molecular processes will help understand biological mechanisms of enteric methane emissions in beef cattle. The detected CH4 associated plasma metabolites will also provide valuable resources to further characterize the metabolites and verify their utility as biomarkers for selection of cattle with reduced methane emissions.

Inside Cover Picture

Plenty of advanced methods have been developed for tracing RNA, including directly chemical RNA labeling, metabolic RNA labeling, proximity‐dependent RNA labeling, etc. These RNA labeling strategies have greatly enhanced our learning about complex roles and functions of RNA. For the deeper insight of RNA biology, there is still a constant need to develop newer RNA labeling methods. More details are discussed in the article by Weng et al. on page 790—801.image

Advancing In-Depth N-Terminomics Detection with a Cleavable 2-Pyridinecarboxyaldehyde Probe.

Proteolysis, an irreversible post-translational modification catalyzed by proteases, plays a crucial role in various biological processes. Exploring abnormally hydrolyzed proteins in pathological tissues is a valuable approach for elucidating the mechanisms underlying disease development. Herein, we have developed a cleavable 2-pyridinecarboxyaldehyde probe (2PCA-Probe) that enables efficient and in-depth N-terminomics detection, addressing limitations of previous methods. Furthermore, we unexpectedly discovered a new marker capable of identifying N-terminal chemical labeling with the 2PCA-Probe and elucidated the reaction mechanism. Using this probe, we identified 4686 N-terminal peptides in colorectal cancer and adjacent tissues, significantly expanding the depth of the N-terminome and revealing the potential role of abnormal protein hydrolysis in colorectal cancer development.

Chemical isotope labeling-assisted liquid chromatography-mass spectrometry enables sensitive and accurate determination of dipeptides and tripeptides in complex biological samples

Small peptides have attracted increasing attention for their unique features and diverse biological functions. Achieving rapid separation and accurate quantification, however, remains a challenge because of their low abundance and the co-existence of numerous structural isomers. In this study, we developed a novel approach using isotope chemical labeling for ultrasensitive determination of di/tripeptides in biological samples. We successfully synthesized a novel derivatization reagent, 4-(2-(ethoxymethylene)-3-oxobutanamido)-N,N,N-trimethylbenzenaminium iodide (EOTMBA) as well as its deuterium-labeled isotope reagent (d3-EOTMBA). A total of 97 small peptides, including 89 dipeptides and 8 tripeptides, could be completely derivatized in methanol within 1.5 h at 60 °C. After EOTMBA labeling, analysis of these di/tripeptides were achieved within 22 min by LC-MS/MS analysis. The method demonstrated 86.3%–113% accuracy and the limit of quantification ranged from 0.25 fmol/L to 5 nmol/L. Using this method, we achieved ultrasensitive and accurate quantification of di/tripeptides in 147 plasma, 49 urine and 46 bile samples obtained from healthy individuals and patients with biliary tract diseases. The identified differential di/tripeptide biomarker panels showed promising diagnostic performance for patients with biliary tract cancer with area under the receiver operating curve values from 0.870 to 0.996. Furthermore, this method was successfully applied to quantify di/tripeptides in the extract of an animal-derived traditional Chinese medicine, Eupolyphaga sinensis Walker. These findings highlight the possible application of the analytical method in clinics and for the purposes of quality control of traditional Chinese medicines.

Recording physiological history of cells with chemical labeling.

Recordings of the physiological history of cells provide insights into biological processes, yet obtaining such recordings is a challenge. To address this, we introduce a method to record transient cellular events for later analysis. We designed proteins that become labeled in the presence of both a specific cellular activity and a fluorescent substrate. The recording period is set by the presence of the substrate, whereas the cellular activity controls the degree of the labeling. The use of distinguishable substrates enabled the recording of successive periods of activity. We recorded protein-protein interactions, G protein-coupled receptor activation, and increases in intracellular calcium. Recordings of elevated calcium levels allowed selections of cells from heterogeneous populations for transcriptomic analysis and tracking of neuronal activities in flies and zebrafish.

Recent Advance in the Study on 5‐Formylcytosine (f5C) RNA Modification

AbstractThe widespread involvement of 5‐formylcytosine f5C RNA in gene function regulation and its impact on crucial life processes like cell differentiation, embryonic development, and disease development underscores the significance of detecting this specific base modification. This detection holds great importance for basic epigenetics research and the early diagnosis and pathogenesis research of various diseases. This review aims to summarize recent research progress in f5C detection methods using selective chemical labeling, with the hope of aiding future research endeavors.

Chemical Proteomics Reveals Nε-Fatty-Acylation of Septins by Rho Inactivation Domain (RID) of the Vibrio MARTX Toxin to Alter Septin Localization and Organization

Vibrio species, the Gram-negative bacterial pathogens causing cholera and sepsis, produce multiple secreted virulence factors for infection and pathogenesis. Among these is the multifunctional-autoprocessing repeats-in-toxin (MARTX) toxin that releases several critical effector domains with distinct functions inside eukaryotic host cells. One such effector domain, the Rho inactivation domain (RID), has been discovered to catalyze long-chain Nε-fatty-acylation on lysine residues of Rho GTPases, causing inactivation of Rho GTPases and disruption of the host actin cytoskeleton. However, whether RID modifies other host proteins to exert additional functions remains to be determined. Herein, we describe the integration of bioorthogonal chemical labeling and quantitative proteomics to globally profile the target proteins modified by RID in living cells. More than 246 proteins are identified as new RID substrates, including many involved in GTPase regulation, cytoskeletal organization, and cell division. We demonstrate that RID extensively Nε-fatty-acylates septin proteins, the fourth cytoskeletal component of mammalian cells with important roles in diverse cellular processes. While affinity purification and mass spectrometry analysis show that RID-mediated Nε-fatty-acylation does not affect septin-septin interactions, this modification increases the membrane association of septins and confers localization to detergent-resistant membrane rafts. As a result, the filamentous assembly and organization of septins are disrupted by RID-mediated Nε-fatty-acylation, further contributing to cytoskeletal and mitotic defects that phenocopy the effects of septin depletion. Overall, our work greatly expands the substrate scope and function of RID and demonstrates the role of RID-mediated Nε-fatty-acylation in manipulating septin localization and organization.

Bioorthogonal chemical labeling of endogenous neurotransmitter receptors in living mouse brains

Neurotransmitter receptors are essential components of synapses for communication between neurons in the brain. Because the spatiotemporal expression profiles and dynamics of neurotransmitter receptors involved in many functions are delicately governed in the brain, in vivo research tools with high spatiotemporal resolution for receptors in intact brains are highly desirable. Covalent labeling by chemical reaction (chemical labeling) of proteins without genetic manipulation is now a powerful method for analyzing receptors in vitro. However, selective target receptor labeling in the brain has not yet been achieved. This study shows that ligand-directed alkoxyacylimidazole (LDAI) chemistry can be used to selectively tether synthetic probes to target endogenous receptors in living mouse brains. The reactive LDAI reagents with negative charges were found to diffuse well over the whole brain and could selectively label target endogenous receptors, including AMPAR, NMDAR, mGlu1, and GABAAR. This simple and robust labeling protocol was then used for various applications: three-dimensional spatial mapping of endogenous receptors in the brains of healthy and disease-model mice; multi-color receptor imaging; and pulse-chase analysis of the receptor dynamics in postnatal mouse brains. Here, results demonstrated that bioorthogonal receptor modification in living animal brains may provide innovative molecular tools that contribute to the in-depth understanding of complicated brain functions.

Intracellular RNA Labeling Technologies for the Analysis of RNA Biology†

Comprehensive SummaryAs a cornerstone of the central dogma of molecular biology, RNA plays vital roles in living organisms. Over the past few decades, many RNA labeling technologies have been developed to elucidate the biological function of RNA. These technologies have significantly advanced our understanding of RNA secondary structure, localization, and turnover. Additionally, taking advantage of these innovative RNA labeling approaches, plenty of tool kits have been devised for the regulation of RNA‐related biological process, such as gene expression and gene editing. In this review, we primarily focus on an array of intracellular RNA labeling methods, encompassing chemical probes‐based labeling, metabolic labeling, and proximity‐dependent labeling. We also provide a brief overview of their applications in the research of RNA biology. Finally, the perspectives of RNA labeling are also discussed.Key Scientists4SU was first used in1978 as a safer way to directly examine RNA synthesis. However, the enrichment of 4SU‐labeled RNA seriously relied on mercurated cellulose columns, which are toxic. In 2005, Boothroyd et al. introduced a novel covalent‐modification method of 4SU based on thiol exchange reaction. Then, Salic et al. applied 5EU, which is clickable, for RNA metabolic labeling in animals. Later, Spitale et al. designed 5EC and 2’AzU, which enabled cell specific RNA metabolic labeling under the help of specific enzyme. In 2013, directly chemical RNA labeling in living cell for RNA structure mapping was realized by Chang and Kool et al. using SHAPE reagent, which was further modified with an azide handle in 2015. Weissman, Bevilacqua and Assmann et al. introduced DMS probe that targets adenine and cytosine of RNA for RNA structure mapping in 2014. Then, Chang et al. exploited psoralen for RNA duplex mapping in 2016. Later, He, Zhou and Zhang et al. described another clickable probe N3‐kethoxal targeting guanine for RNA secondary structure mapping. Besides, Chang and Ting et al. described a proximity‐dependent RNA labeling method based on APEX in 2019, revealing subcellular RNA localization. Meanwhile, Zou and Wang et al. achieved proximity‐dependent RNA labeling using miniSOG oxidase, which provided an alternative method to investigate the spatial transcriptome. Spitale et al. utilizing photosensitizer dibromofluorescein (DBF) to realize proximity‐dependent RNA labeling and sequencing.

Soft X-ray Microscopy in Cell Biology: Current Status, Contributions and Prospects.

The recent advances achieved in microscopy technology have led to a significant breakthrough in biological research. Super-resolution fluorescent microscopy now allows us to visualize subcellular structures down to the pin-pointing of the single molecules in them, while modern electron microscopy has opened new possibilities in the study of protein complexes in their native, intracellular environment at near-atomic resolution. Nonetheless, both fluorescent and electron microscopy have remained beset by their principal shortcomings: the reliance on labeling procedures and severe sample volume limitations, respectively. Soft X-ray microscopy is a candidate method that can compensate for the shortcomings of both technologies by making possible observation of the entirety of the cellular interior without chemical fixation and labeling with an isotropic resolution of 40-70 nm. This will thus bridge the resolution gap between light and electron microscopy (although this gap is being narrowed, it still exists) and resolve the issue of compatibility with the former, and possibly in the near future, the latter methods. This review aims to assess the current state of soft X-ray microscopy and its impact on our understanding of the subcellular organization. It also attempts to look into the future of X-ray microscopy, particularly as relates to its seamless integration into the cell biology toolkit.

Label-free enrichment of human pluripotent stem cell-derived early retinal progenitor cells for cell-based regenerative therapies

Pluripotent stem cell-based therapy for retinal degenerative diseases is a promising approach to restoring visual function. A clinical study using retinal organoid (RO) sheets was recently conducted in patients with retinitis pigmentosa. However, the graft preparation currently requires advanced skills to identify and excise suitable segments from the transplantable area of the limited number of suitable ROs. This remains a challenge for consistent clinical implementations. Herein, we enabled the enrichment of wild-type (non-reporter) retinal progenitor cells (RPCs) from dissociated ROs using a label-free ghost cytometry (LF-GC)-based sorting system, where a machine-based classifier was trained in advance with another RPC reporter line. The sorted cells reproducibly formed retinal spheroids large enough for transplantation and developed mature photoreceptors in the retinal degeneration rats. This method of enriching early RPCs with no specific surface antigens and without any reporters or chemical labeling is promising for robust preparation of graft tissues during cell-based therapy.

12-Plex Isobaric Multiplex Labeling Reagents for Carbonyl-Containing Compound (SUGAR) Tag-Enabled High-Throughput Quantitative Glycomics.

Glycans, which are ubiquitously distributed on most proteins and cell surfaces, are a class of important biomolecules playing crucial roles in various biological processes such as molecular recognition and cellular communication. Modern mass spectrometry (MS) coupled with novel chemical probe labeling strategies has greatly advanced analysis of glycans. However, the requirement of high-throughput and robust quantitative analysis still calls for the development of more advanced tools. Recently, we devised isobaric multiplex reagents for carbonyl-containing compound (SUGAR) tags for 4-plex N-glycan analysis. To further improve the throughput, we utilized the mass-defect strategy and expanded the multiplexing capacity to 12 channels without changing the chemical structure of the SUGAR tag, achieving a threefold enhancement in throughput compared with the original design and managing to perform high-throughput N-glycan analysis in a single LC-MS/MS injection. Herein, we present detailed methods for the synthesis of 12-plex SUGAR isobaric tags, the procedure to release and label the N-glycans from proteins, and the analysis by high-resolution LC-MS/MS, as well as data processing to achieve multiplexed quantitative glycomics.

Plasma metabolome analysis for predicting antiviral treatment efficacy in chronic hepatitis B: diagnostic biomarkers and therapeutic insights.

The early and accurate identification of predictive biomarkers for antiviral treatment efficacy remains a significant clinical challenge, particularly in the management of chronic hepatitis B (CHB). This study aimed to assess whether the plasma metabolome could reliably predict the success of antiviral therapy in CHB patients. We conducted a retrospective analysis on 56 treatment-naive CHB patients at the First Affiliated Hospital of Zhejiang University from December 2013 to March 2016. Patients who underwent a 48-week treatment regimen of entecavir (ETV) and interferon-alpha (IFN-α) were randomly assigned to either a discovery cohort (n=29) or a validation cohort (n=27). Based on the outcome of the treatment, patients were classified as HBeAg seroconversion group (High responders, Hrp) or the non-remission group (Low responder, Lrp). Our methodology involved an untargeted analysis of the amine/phenol and carboxylic acid submetabolomes in the CHB patients under treatment, utilizing chemical isotope labeling (CIL) techniques with liquid chromatography-mass spectrometry (LC-MS). Several metabolites were identified as having significant diagnostic potential for distinguishing Hrp from Lrp, with areas under the receiver operating characteristic curve (AUC) exceeding those typical clinical indicators. Notably, four metabolites, namely 2-methyl-3-ketovaleric acid, 2-ketohexanoic acid, 6-oxo-1,4,5,6-tetrahydronicotinic acid, and α-ketoisovaleric acid, demonstrated exceptionally high sensitivity and specificity in both cohorts, nearing 100%. In contrast, the clinical indicators, including HBcAb, log(HBsAg), and HBeAb, demonstrated lower and inconsistent sensitivity and specificity between the discovery and validation cohorts. Using HBcAb as a marker, the sensitivity was 87.5% with 76.9% specificity in the discovery cohort; however, the sensitivity dropped to 46.7% with 91.7% specificity in the validation cohort. Using log(HBsAg), the sensitivity was 84.6% with 69.2% specificity in the discovery cohort, compared to 85.7% sensitivity and 83.3% specificity in the validation cohort. For HBeAb, the separation of Hrp and Lrp had a sensitivity of 87.5% with 69.2% specificity in the discovery cohort, while the validation cohort showed 86.7% sensitivity and 91.7% specificity.