Irritable bowel syndrome with diarrhea （IBS-D）， as a prototypical disorder involving the microbiota-gut-brain axis， remains poorly understood in terms of its pathogenesis， posing ongoing challenges for clinical diagnosis. Omics technologies， leveraging their high-throughput detection and systematic analysis advantages， has emerged as a critical tool for deciphering the complex mechanisms underlying traditional Chinese medicine （TCM） treatment of IBS-D. This systematic review summarizes the research progress of transcriptomics， proteomics， metabolomics， microbiomics， and multi-omics integration techniques in TCM interventions for IBS-D. In single-omics studies， transcriptomics using techniques like RNA-seq， reveals the regulatory mechanisms of TCM on IBS-related signaling pathways. Proteomics， leveraging quantitative technologies such as 2D-difference gel electrophoresis and tandem mass tag， identifies differentially expressed proteins and elucidates the action targets of TCM in treating IBS-D. Metabolomics， employing methods like UPLC-Q-TOF-MS and LC-MS/MS， discovers metabolic pathways regulated by TCM to improve metabolic disturbances in IBS-D. Microbiomics， based on 16S rRNA sequencing， confirms that TCM can reshape the gut microbiota structure and restore the intestinal microecological balance， thereby improving IBS-D. Multi-omics integration further overcomes the limitations of single-omics approaches by synthesizing information from transcriptomics， proteomics， metabolomics， and microbiomics， enabling a more comprehensive and systematic elucidation of the complex mechanisms underlying TCM treatment for IBS-D. In the future， research related to IBS-D should be advanced from three aspects： stratified clinical research based on TCM syndrome types， multi-omics integration verification mechanisms， and emerging omics to explore new mechanisms， providing more innovative ideas for the precise diagnosis and treatment of this disease.

Objective: To develop a depression recognition model by integrating the spirit-expression diagnostic framework of traditional Chinese medicine (TCM) with machine learning algorithms. The proposed model seeks to establish a TCM-informed tool for early depression screening, thereby bridging traditional diagnostic principles with modern computational approaches. Methods: The study included patients with depression who visited the Shanghai Pudong New Area Mental Health Center from October 1, 2022 to October 1, 2023, as well as students and teachers from Shanghai University of Traditional Chinese Medicine during the same period as the healthy control group. Videos of 3 – 10 s were captured using a Xiaomi Pad 5, and the TCM spirit and expressions were determined by TCM experts (at least 3 out of 5 experts agreed to determine the category of TCM spirit and expressions). Basic information, facial images, and interview information were collected through a portable TCM intelligent analysis and diagnosis device, and facial diagnosis features were extracted using the Open CV computer vision library technology. Statistical analysis methods such as parametric and non-parametric tests were used to analyze the baseline data, TCM spirit and expression features, and facial diagnosis feature parameters of the two groups, to compare the differences in TCM spirit and expression and facial features. Five machine learning algorithms, including extreme gradient boosting (XGBoost), decision tree (DT), Bernoulli naive Bayes (BernoulliNB), support vector machine (SVM), and k-nearest neighbor (KNN) classification, were used to construct a depression recognition model based on the fusion of TCM spirit and expression features. The performance of the model was evaluated using metrics such as accuracy, precision, and the area under the receiver operating characteristic (ROC) curve (AUC). The model results were explained using the Shapley Additive exPlanations (SHAP). Results: A total of 93 depression patients and 87 healthy individuals were ultimately included in this study. There was no statistically significant difference in the baseline characteristics between the two groups (P > 0.05). The differences in the characteristics of the spirit and expressions in TCM and facial features between the two groups were shown as follows. (i) Quantispirit facial analysis revealed that depression patients exhibited significantly reduced facial spirit and luminance compared with healthy controls (P < 0.05), with characteristic features such as sad expressions, facial erythema, and changes in the lip color ranging from erythematous to cyanotic. (ii) Depressed patients exhibited significantly lower values in facial complexion L, lip L, and a values, and gloss index, but higher values in facial complexion a and b, lip b, low gloss index, and matte index (all P < 0.05). (iii) The results of multiple models show that the XGBoost-based depression recognition model, integrating the TCM “spirit-expression” diagnostic framework, achieved an accuracy of 98.61% and significantly outperformed four benchmark algorithms—DT, BernoulliNB, SVM, and KNN (P < 0.01). (iv) The SHAP visualization results show that in the recognition model constructed by the XGBoost algorithm, the complexion b value, categories of facial spirit, high gloss index, low gloss index, categories of facial expression and texture features have significant contribution to the model. Conclusion This study demonstrates that integrating TCM spirit-expression diagnostic features with machine learning enables the construction of a high-precision depression detection model, offering a novel paradigm for objective depression diagnosis.

Objective To investigate the gene expression profile of cervical exfoliated cells from woman treated by artificial cycle,and their potential association with endometrial receptivity in order to screen specific biomarkers closely related to the receptivity.Methods A total of 19 female patients were enrolled from those preparing for frozen embryo transfer(FET)at the Reproductive Center of First Medical Center of Chinese PLA General Hospital from February 2024 to October 2024.Under the artificial cycle frozen embryo transfer protocol,the endometrial tissues were collected on the 4th day after progesterone administration(P+4)to verify their endometrial receptivity status.Additionally,cervical exfoliated cells were collected on the 4th day(P+4)and the 6th day(P+6)after progesterone administration.RNA sequencing(RNA-Seq)was used to detect gene expression profiles.Differentially expressed genes(DEGs)were identified using the criteria of|log2fold change|＞1 and a false discovery rate(FDR)＜0.05,followed by bioinformatics analysis.The protein-protein interaction(PPI)network of DEGs was constructed using R software(4.4.1)and analyzed with gene ontology(GO)and Kyoto encyclopedia of genes and genomes(KEGG)analyses.The candidate genes were identified based on the PPI network using Cytoscape software.Quantitative reverse transcription PCR(RT-qPCR)was employed to validate the target candidate genes both in vitro and in vivo.Results The rsERT confirmed that all 19 women were in state of endometrial receptivity at P+6.RNA-Seq identified 3 458 DEGs in cervical exfoliated cells between P+4 and P+6.The up-regulated DEGs were mainly enriched in the pathways associated with immune response and cell differentiation,and the down-regulated ones were mainly enriched in the pathways associated with lipid metabolism and cell proliferation.Using maximal clique Centrality(MCC)algorithm in the PPI network,the top 20 genes were selected.Among them,6 genes,such as IFIT2,OASL,MX1,RSAD2,IFIT1 and IFIT3,tied for the first place,and the 6 genes all belong to interferon-stimulated genes(ISGs).qRT-PCR indicated that the above 6 genes showed significantly higher expression levels in the cervical exfoliated cells at the P+4 stage than the cells at the P+6 stage(P＜0.05).Conclusion There are changes in the expression levels of the genes related to immunity and cytoskeleton remodeling in cervical exfoliated cells during the endometrial receptivity phase.The decrease in the expression of ISGs may serve as a potential biomarker for endometrial receptivity.

Fe/Mn/Gd polymetallic nanooxide(FMGN)were prepared by one-step solvent thermal reaction by using Fe(acac)3,Mn(acac)2 and Gd(acac)3 as reaction precursors.Next,hyaluronic acid(HA)was used to modify FMGN to fabricate tumor-targeting T 1-T 2 dual-mode magnetic resonance imaging(MRI)contrast agent(HA-FMGN)for accurate diagnosis of prostate cancer.The structure and morphology of FMGN were observed by transmission electron microscope(TEM).It was found that FMGN exhibited a uniform nanocluster spherical structure when the feeding ratio of iron acetylacetonate,manganese acetylacetonate,and gadolinium acetylacetonate was 3:2:1.X-ray diffraction(XRD)analysis showed that FMGN had a typical inverse spinel structure of Mn doped Fe 3O 4,with Gd existing in the form of amorphous gadolinium oxide.The longitudinal relaxivity(r 1)and transverse relaxivity(r 2)of FMGN were 13.395 and 428.535 L/(mmol·s),respectively,measured by 0.5 T MRI analyzer,which proved that FMGN had excellent T 1-T 2 dual-mode MRI contrast capability.The cytotoxicity and hemolysis test found that HA-FMGN didn't damage red cells and induce toxicity for normal cells,indicating that HA-FMGN had excellent cell biocompatibility.The internalization efficacy of HA-FMGN was observed by CLSM,and the results showed that HA-FMGN possessed excellent prostate tumor-targeting ability.In vivo MRI experiment showed that HA-FMGN significantly enhanced T 1 and T 2 weighted MRI signal to noise ratio(SNR)of prostate tumor,which promoted the accurate diagnosis of orthotopic prostate cancer.

Microfluidic chips have revolutionized analytical sciences through miniaturization and high-throughput capabilities.However,conventional static devices are constrained by fixed architectures,functional rigidity,and high customization costs.In recent years,,the emerging configurable and reconfigurable microfluidic technologies have provided solutions for these limitations through dynamic adaptability.Configurable systems enable post-fabrication customization via modular assembly or boundary modification,offering cost-effective functional versatility.Reconfigurable microfluidics represents a more advanced paradigm,incorporating real-time decision-making and dynamic control through physical/virtual boundary adjustments during operation.These adaptive systems enable precise manipulation of microenvironments for applications ranging from single-cell manipulation to dynamic biochemical synthesis.In this review,a ″static-dynamic boundary″ framework to systematically analyze both technologies was proposed,and the design rationales,operational mechanisms,and implementation strategies were compared.The development history of these two techniques was introduced,and the applications demonstrated their transformative potential in developing intelligent lab-on-chip systems,while technical challenges in standardization and control interfaces were critically assessed.The development trend on integrating smart materials and AI-driven automation to advance next-generation adaptive microfluidic platforms was prospected.

Objective To investigate the effect of long non-coding ribonucleic acid cancer susceptibility can-didate gene 19(lncRNA CASC19)regulating the microRNA(miR)-490-3p/high mobility group protein A2(HMGA2)axis on the proliferation,migration,and chemotherapy resistance of colorectal cancer(CRC)cells.Methods Human normal colonic epithelial cells(FHC)and CRC cell lines(LOVO,HCT116,SW480)were cultured.LOVO cells were randomly divided into Control group,sh-NC group,sh-CASC19 group,sh-CASC19+anti-NC group and sh-CASC19+anti-miR-490-3p group.The lncRNA CASC19,miR-490-3p and HMGA2 mRNA expression were detected by real-time fluorescence quantitative polymerase chain reaction(qRT-PCR).The relationship between lncRNA CASC19 and miR-490-3p and between miR-490-3p and HM-GA2 were detected by Dual luciferase assay.The cell proliferation ability was detected by cell counting kit-8(CCK-8)assay and colony formation assay.The cell migration ability was detected by cell scratch assay.The cell invasion ability was detected by Transwell assay.The cell metastasis-related proteins(MMP2,MMP9)and HMGA2 protein expression were detected by Western blot assay.The chemotherapy resistance was detec-ted by cisplatin and fluorouracil.Results The lncRNA CASC19 and HMGA2 mRNA expression increased in CRC cell lines,and miR-490-3p expression decreased.The lncRNA CASC19,miR-490-3p and HMGA2 mRNA expression in LOVO cells were the most significant,LOVO cells were selected for subsequent experiments.The dual luciferase assay showed that,after the transfection of lncRNA CASC19 and HMGA2,compared with mimic-NC group,the luciferase activity in miR-490-3p mimic group decreased(P＜0.05).Compared with sh-NC and Control groups,the survival rate,clone number,migration rate,invasion rate,MMP2,MMP9,HMGA2 mRNA and protein expression of LOVO cells in sh-CASC19 group were decreased,and the miR-490-3p ex-pression was increased(P＜0.05).Compared with sh-CASC19 group and sh-CASC19+anti-NC group,the survival rate,clone number,migration rate,invasion rate,MMP2,MMP9,HMGA2 mRNA and protein expres-sion of LOVO cells in sh-CASC19+anti-miR-490-3p group were increased,and the miR-490-3p expression was decreased(P＜0.05).The chemotherapy resistance experiment showed that,compared with Control group,the chemotherapy resistance sensitivity of LOVO cells in sh-CASC19 group increased(P＜0.05).Compared with sh-CASC19 group,the chemoresistance sensitivity of LOVO cells in sh-CASC19+anti-miR-490-3p group was decreased(P＜0.05).In the same group,with the increase of the concentration of fluorou-racil and cisplatin,the cell survival rate gradually decreased(P＜0.05).Conclusion Knockdown of lncRNA CASC19 can regulate miR-490-3 p/HMGA2 signaling pathway,inhibit the proliferation and migration of CRC cells,and increase the sensitivity of chemotherapy resistance.

Objective:To assess the expression level and clinical significance of interleukin-17A(IL-17A) in restenosis after endoluminal treatment of lower extremity atherosclerotic occlusive (LEASO).Methods:Using retrospective analysis, 252 LEASO patients admitted to the Affiliated Hospital of Inner Mongolia Medical University from April 2021 to October 2023 were selected; 20 patients were lost to follow-up and 232 patients were enrolled. The patients underwent endoluminal intervention(balloon dilatation/stent placement) after admission, and they were divided into the restenosis group ( n=52) and the non-stenosis group ( n=180) according to the occurrence of restenosis during the follow-up period. Gender, age, body mass index, history of hypertension, history of diabetes mellitus, history of smoking, history of coronary artery disease, surgically diseased limb, C-reactive protein, total cholesterol(TC), triglycerides(TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), blood glucose, and length of vascular occlusion were recorded and compared between the two groups. Serum IL-17A expression levels were measured in the enrolled patients preoperatively, 24 h postoperatively, 1 month postoperatively, 3 months postoperatively, and 6 months postoperatively. Univariate and multivariate Logistic regression analyses were used to evaluate the preoperative clinical data of patients in the restenosis group and non-restenosis group, and to investigate the risk factors affecting the occurrence of restenosis in patients. Immunohistochemistry was applied to determine the expression level of IL-17A in the plaque tissues of the restenosis group and the non-stenosis group, and to assess the predictive value of IL-17A for restenosis after endoluminal therapy in patients with LEASO. Measurement data with normal distribution were expressed as mean ± standard deviation ( ± s), and t-test was used for comparison between groups; measurement data with skewed distribution were expressed as median (interquartile range) [ M( Q1, Q3)], and Mann-Whitney U-test was used for comparison between groups; and count data were expressed as the number of cases and percentage, and Chi-square test was used for comparison between groups; comparisons between the two groups with multiple time-point indicators were performed using repeated-measures data ANOVA. Factors associated with the occurrence of postoperative restenosis in LEASO patients were assessed using univariate and multivariate Logistic regression analyses. Risk prediction efficacy analysis was performed using receiver operating characteristic (ROC) curves. The correlation between IL-17A expression and the degree of restenosis was analysed using the Spearman method. Results:The relative expression level of IL-17A in the serum of patients in the restenosis group was higher than that in the non-stenosis group, and showed an increasing trend in patients with moderate-to-severe stenosis and complete occlusion. The results of the immunohistochemical method showed that the rate of IL-17A-positive cells and the intensity of staining in the plaque tissues of patients in the restenosis group were higher than those in the non-stenosis group ( P< 0.01), and the composite score of the positive rate×intensity of staining in the restenosis group was 6.7 (5.0, 8.0), and that in the non-stenosis group was 2.1 (1.0, 3.0). The expression level of IL-17A in the plaque tissue of the restenosis group was positively correlated with the degree of stenosis ( r= 0.76, P< 0.001). The results of the ROC curve analysis showed that predictive value of IL-17A for restenosis after LEASO intervention was high. Conclusions:IL-17A may play an important role in postoperative restenosis in LEASO patients by promoting inflammation response. It provides a new detection index for the early prediction of restenosis after LEASO intervention.

Objective:To observe the efficacy and safety of Tianchan capsule on chemotherapy-induced peripheral neuropathic pain (CIPNP) .Methods:A total of 120 CIPNP patients with Karnofsky performance status (KPS) score higher than 60 admitted to the Nantong Tumor Hospital, Jiangsu Province and Suzhou Hospital of Traditional Chinese Medicine from April 2023 to April 2024 were selected as study objects. Patients were divided into control group (cisplatin/paclitaxel) and observation group (cisplatin/paclitaxel+Tianchan capsule) according to random number table method, with 60 cases in each group. After 28 days of treatment, the clinical efficacy, adverse reactions, numberical rating scale (NRS) score, quality of life score, Traditional Chinese Medicine (TCM) syndrome score and neurotoxicity grading score before and after treatment were observed and compared between the two groups.Results:Twenty-eight days after treatment, the total effective rate of the control group was 0 (0/60) , while the total effective rate of the observation group was 83.33% (50/60) , with a statistically significant difference ( χ2=85.71, P<0.001) . The NRS scores of the control group before treatment and at 7, 14, and 28 days after treatment were 6.18±1.71, 6.17±1.72, 6.20±1.70 and 6.22±1.70, respectively, with no statistically significant difference ( F=-1.43, P=0.160) . The NRS scores of the observation group before treatment and at 7, 14, and 28 days after treatment were 6.05±1.76, 5.17±1.42, 3.76±1.16, and 2.00±0.80, respectively, with a statistically significant difference ( F=22.89, P<0.001) . The NRS scores of the observation group at 7, 14, and 28 days after treatment were all lower than those of the control group, with statistically significant differences (all P<0.001) . Further pairwise comparison showed that, NRS scores in the observation group gradually decreased from before treatment to after 7, 14 and 28 days of treatment (all P<0.05) . Before treatment and 7, 14, and 28 days after treatment in the control group, the KPS scores were 67.33±6.43, 67.25±6.29, 67.08±6.14 and 66.75±5.80, respectively, with no statistically significant difference ( F=2.18, P=0.340) . Before treatment and 7, 14, and 28 days after treatment in the observation group, the KPS scores were 67.17±6.49, 68.33±6.32, 71.25±7.68 and 79.42±5.30, respectively, with a statistically significant difference ( F=-19.33, P<0.001) . The KPS scores of the observation group at 14 and 28 days after treatment were both higher than those of the control group, with statistically significant differences ( t=-3.33, P<0.001; t=-12.66, P<0.001) . Further pairwise comparison showed that, the KPS scores of the observation group were higher at 28 days after treatment compared to pre-treatment levels, as well as to those at 7 and 14 days after treatment (all P<0.05) . The scores of TCM syndrome showed that the scores of burnout and fatigue were 3.03±0.66 before treatment and 3.03±0.66 after 28 days of treatment in the control group, respectively, with no statistically significant difference ( t<0.01, P>0.999) . In the observation group, the scores were 3.02±0.60 and 1.97±0.52, respectively, with a statistically significant difference ( t=21.00, P<0.001) . The scores of hypochondriac pain were 3.05±0.68 before treatment and 3.07±0.63 after 28 days of treatment in the control group, respectively, with no statistically significant difference ( t=-0.57, P=0.568) . In the observation group, the scores were 3.03±0.66 and 2.02±0.57, respectively, with a statistically significant difference ( t=18.25, P<0.001) . The scores of pale complexion were 2.87±0.50 and 2.85±0.48 in the control group before treatment and 28 days after treatment, respectively, with no statistically significant difference ( t=-0.57, P=0.568) . In the observation group, the scores were 2.93±0.55 and 1.93±0.55, respectively, with a statistically significant difference ( t=24.29, P<0.001) . The scores of loss of appetite were 2.90±0.60 and 2.90±0.63 in the control group before treatment and after 28 days of treatment, respectively, with no statistically significant difference ( t<0.01, P>0.999) . In the observation group, the scores were 2.95±0.57 and 1.98±0.60, respectively, with a statistically significant difference ( t=20.42, P<0.001) . After 28 days of treatment, the scores of burnout and fatigue, hypochondriac pain, pale complexion and loss of appetite in the observation group were lower than those in the control group (all P<0.001) . Comparison of neurotoxicity grading showed that the scores of peripheral sensory nerve disorder were 2.54±0.50 before treatment and 2.58±0.49 after 28 days of treatment in the control group, respectively, with no statistically significant difference ( t=-0.40, P=0.690) . The scores in the observation group were 2.52±0.50 and 2.00±0.00, respectively, with a statistically significant difference ( t=7.29, P<0.001) . The scores of peripheral motor nerve disorder were 2.44±0.51 before treatment and 2.36±0.48 after 28 days of treatment, respectively, with no statistically significant difference ( t=0.81, P=0.419) . In the observation group, the scores were 2.46±0.50 and 2.00±0.10, respectively, with a statistically significant difference ( t=6.49, P<0.001) . Neuralgia score: Before treatment and after 28 days of treatment, the scores in the control group were 2.14±0.49 and 2.18±0.48, respectively, with no statistically significant difference ( t=-0.41, P=0.683) . The scores in the observation group were 2.16±0.51 and 1.72±0.46, respectively, with a statistically significant difference ( t=4.56, P<0.001) . After 28 days of treatment, the scores of peripheral sensory nerve disorder, peripheral motor nerve disorder and neuralgia in the observation group were lower than those in the control group (all P<0.001) . Patients in both control group and observation group had different degrees of diarrhea, nausea and vomiting, but there was no statistically significant difference in total incidence of adverse reactions between the two groups ( χ2=0.22, P=0.637) . Conclusions:Tianchan capsule can effectively reduce the pain degree of patients with CIPNP, improve the quality of life of patients and has good safety.

BACKGROUND:Traumatic brain injury is a condition in which the normal function of the brain is disrupted by a bump or impact to the head.It is necessary to find effective treatments and objective targets that can help doctors diagnose the injury status and restore the brain function of patients. OBJECTIVE:To explore the effect of electroacupuncture combined with low-frequency transcranial ultrasound stimulation on the electroencephalographic signals of rats with traumatic brain injury. METHODS:Forty 6-week-old SPF male Sprague-Dawley rats were randomly divided into five groups:sham group,model group,electroacupuncture group,low-frequency transcranial ultrasound stimulation group and combined group(electroacupuncture+low-frequency transcranial ultrasound stimulation),with eight rats in each group.Feeney weight-drop method was used to establish the animal model of traumatic brain injury.In the sham group,the bone window was only opened without impact.Interventions were started at 1 day after modeling.Electroacupuncture in the electroacupuncture group,low-frequency transcranial ultrasound stimulation in the low-frequency transcranial ultrasound stimulation group,and electroacupuncture+low-frequency transcranial ultrasound stimulation in the combined group were performed for days in total.The modified neurological severity scale score for assessing rats'neurological deficits was performed at 8 hours after modeling.The percentage of spontaneous alternation behavior in the Y-maze was measured at 7 days after modeling.Then,the electroencephalographic signals were collected and electroencephalographic data of α,β,θ,and δ waves were extracted by fast Fourier transform,and the value of oscillation amplitude and energy ratio were calculated in α,β,θ,and δ waves,as well as the Lempel-Ziv complexity and sample entropy. RESULTS AND CONCLUSION:Compared with the sham group,the modified neurological severity scale scores in the model group,electroacupuncture group,low-frequency transcranial ultrasound stimulation group and combined group were significantly increased at 8 hours after modeling(P<0.05).Compared with the sham group,the value of oscillation amplitude in δ wave and the value of δ energy ratio were significantly increased in the model group at 7 days after modeling,meanwhile the percentage of spontaneous alternation behavior in Y-maze,and the value of α/β energy ratio,Lempel-Ziv complexity,and sample entropy were significantly decreased(P<0.05).Compared with the model group,the value of oscillation amplitude in α and δ waves was significantly decreased in the combined group(P<0.05),while the value of α/β energy ratio was significantly increased(P<0.05)and the value of δ energy ratio was significantly decreased(P<0.05)in the electroacupuncture group,low-frequency transcranial ultrasound stimulation group and combined group.Compared with the electroacupuncture group and low-frequency transcranial ultrasound stimulation group,the value of δ energy ratio was significantly decreased in the combined group(P<0.05),while the percentage of spontaneous alternation behavior,the value of α/β energy ratio,the Lempel-Ziv complexity,and the sample entropy were significantly increased(P<0.05).To conclude,abnormal electroencephalographic signals can appear in rats with traumatic brain injury,while the electroacupuncture combined with low-frequency transcranial ultrasound stimulation can alleviate the abnormal electroencephalographic signals in rats,which suggests the electroencephalographic frequency domain value and nonlinear features can be used to assess the severity of traumatic brain injury.

As new evidence emerges, treatment strategies toward the functional cure of chronic hepatitis B are evolving. In 2019, a panel of national hepatologists published a Consensus Statement on the functional cure of chronic hepatitis B. Currently, an international group of hepatologists has been assembled to evaluate research since the publication of the original consensus, and to collaboratively develop the updated statements. The 2.0 Consensus was aimed to update the original consensus with the latest available studies, and provide a comprehensive overview of the current relevant scientific literatures regarding functional cure of hepatitis B, with a particular focus on issues that are not yet fully clarified. These cover the definition of functional cure of hepatitis B, its mechanisms and barriers, the effective strategies and treatment roadmap to achieve this endpoint, in particular new surrogate biomarkers used to measure efficacy or to predict response, and the appropriate approach to pursuing a functional cure in special populations, the development of emerging antivirals and immunomodulators with potential for curing hepatitis B. The statements are primarily intended to offer international guidance for clinicians in their practice to enhance the functional cure rate of chronic hepatitis B.