ObjectiveTo analyze the characteristic expression patterns of six neurotransmitters including 5-hydroxytryptamine （5-HT）， dopamine （DA）， acetylcholine （ACh）， norepinephrine （NE）， inhibitory neurotransmitter （INH）， and excitatory neurotransmitter （EXC） in the whole brain and different brain regions of depression patients by Search of Encephalo Telex （SET）， providing new ideas for the study of heterogeneous etiology of depression. Methods（1） A retrospective study was conducted on supra-slow signals of EEG fluctuations in 1 028 patients with depression. The SET system was used to obtain the expression information of six neurotransmitters in the whole brain and 12 brain regions： left frontal region （F3）， right frontal region （F4）， left central region （C3）， right central region （C4）， left parietal region （P3）， right parietal region （P4）， left occipital region （O1）， right occipital region （O2）， left anterior temporal region （F7）， right anterior temporal region （F8）， left posterior temporal region （T5）， and right posterior temporal region （T6）. The expression information of each neurotransmitter was compared with the normal model， and it was found that single neurotransmitter was in one of three states： increased， decreased， or normal expression. The simultaneous expression states of six neurotransmitters in the brain space were referred to as the expression pattern of multiple neurotransmitters. （2） A MySQL database was established to analyze the actual expression patterns of different neurotransmitters in the whole brain of patients with depression. （3） Factor analysis was conducted to further analyze the characteristic rules of 78 variables of neurotransmitters in the whole brain and 12 brain regions in depression patients. Results（1） The expression of single neurotransmitters in the whole brain and different brain regions of the total depression population showed one of three expression states （increased/decreased/normal）， being normal in the majority. The decreased and increased expression of 5-HT， ACh， DA， INH， EXC， and NE in the whole brain occurred in 6% and 25%， 31% and 17%， 36% and 9%， 15% and 31%， 32% and 14%， and 22% and 22%， respectively. （2） The antagonizing pairs of neurotransmitters （EXC/INH， DA/5-HT， and ACh/NE） showed significant antagonistic relationships in the whole brain and different brain regions， with a strong negative correlation between EXC and INH （P<0.01， |r| values ranging from 0.69 to 0.76）， a strong negative correlation between DA and 5-HT （P<0.01， |r| values ranging from 0.83 to 0.90）， and a moderate negative correlation between ACh and NE （P<0.01， with |r| values ranging from 0.56 to 0.66）. Meanwhile， non-antagonizing pairs of neurotransmitters in the whole brain and different brain regions also showed correlations， with DA/NE （P<0.01， |r| values ranging from 0.38 to 0.46） and NE/EXC （P<0.01， |r| values ranging from 0.56 to 0.61） showing weak and moderate negative correlations， respectively， and DA/EXC showing a weak positive correlation （P<0.01， |r| values ranging from 0.38 to 0.47）. （3） The six neurotransmitters in the 1 028 patients with depression presented a total of 170 expression patterns in the whole brain. The top 30 expression patterns were reported in this paper， with a cumulative rate of 60.60%， including patterns ① INH+/5-HT-/ACh+/DA+/NE-/EXC- （9.05%）， ② INH+/5-HT-/ACh↓/DA+/NE-/EXC- （4.57%）， and ③ INH+/5-HT-/ACh+/DA+/NE↓/EXC- （3.31%）. That is， the proportion of depression patients with normal levels of all the six neurotransmitters was 9.05%， and the patients with at least one neurotransmitter abnormality accounted for 91.95%. （4） The factor analysis extracted 22 common factors from 78 variables in the whole brain and different brain regions. These common factors showed the absolute values of loadings ranging from 0.32 to 0.86 and the eigenvalues （F） ranging from 1.03 to 13.43， with a cumulative contribution rate of 76.82%. The characteristic expression patterns included ① ACh_P3↓/ACh_W↓/ACh_C3↓/ACh_F3↓/ACh_O1↓/ACh_T5↓/ACh_F7↓/NE_P3↑/NE_W↑/NE_C3↑/NE_F3↑/NE_O1↑/NE_T5↑/NE_F7↑ （F=13.43， whole brain）， ② 5-HT_O2↑/DA_O2↓/5-HT_P4↑/DA_P4↓/5-HT_W↑/DA_W↓/5-HT_C4↑/DA_C4↓ （F=5.94）， and ③ EXC_F4↓/DA_F4↓/NE_F4↑/INH_F4↑/5-HT_F4↑/ACh_F4↓ （F=5.33）. ConclusionThe actual 170 expression patterns of 6 neurotransmitters in the whole brain of 1 028 depression patients indicate that depression is a heterogeneous disease with individualized characteristics. The 22 characteristic expression patterns in the whole brain and 12 brain regions verify the pathogenesis hypothesis of multi-neurotransmitters oscillation imbalance in brains of depression patients. In summary， this study provides new guidance for the etiology， diagnosis， and treatment of depression and establishes a methodological foundation for the effectiveness evaluation of individualized treatment of depression by traditional Chinese medicine based on the objective biological markers.

ObjectiveTo analyze the characteristic expression patterns of six neurotransmitters including 5-hydroxytryptamine （5-HT）， dopamine （DA）， acetylcholine （ACh）， norepinephrine （NE）， inhibitory neurotransmitter （INH）， and excitatory neurotransmitter （EXC） in the whole brain and different brain regions of depression patients by Search of Encephalo Telex （SET）， providing new ideas for the study of heterogeneous etiology of depression. Methods（1） A retrospective study was conducted on supra-slow signals of EEG fluctuations in 1 028 patients with depression. The SET system was used to obtain the expression information of six neurotransmitters in the whole brain and 12 brain regions： left frontal region （F3）， right frontal region （F4）， left central region （C3）， right central region （C4）， left parietal region （P3）， right parietal region （P4）， left occipital region （O1）， right occipital region （O2）， left anterior temporal region （F7）， right anterior temporal region （F8）， left posterior temporal region （T5）， and right posterior temporal region （T6）. The expression information of each neurotransmitter was compared with the normal model， and it was found that single neurotransmitter was in one of three states： increased， decreased， or normal expression. The simultaneous expression states of six neurotransmitters in the brain space were referred to as the expression pattern of multiple neurotransmitters. （2） A MySQL database was established to analyze the actual expression patterns of different neurotransmitters in the whole brain of patients with depression. （3） Factor analysis was conducted to further analyze the characteristic rules of 78 variables of neurotransmitters in the whole brain and 12 brain regions in depression patients. Results（1） The expression of single neurotransmitters in the whole brain and different brain regions of the total depression population showed one of three expression states （increased/decreased/normal）， being normal in the majority. The decreased and increased expression of 5-HT， ACh， DA， INH， EXC， and NE in the whole brain occurred in 6% and 25%， 31% and 17%， 36% and 9%， 15% and 31%， 32% and 14%， and 22% and 22%， respectively. （2） The antagonizing pairs of neurotransmitters （EXC/INH， DA/5-HT， and ACh/NE） showed significant antagonistic relationships in the whole brain and different brain regions， with a strong negative correlation between EXC and INH （P<0.01， |r| values ranging from 0.69 to 0.76）， a strong negative correlation between DA and 5-HT （P<0.01， |r| values ranging from 0.83 to 0.90）， and a moderate negative correlation between ACh and NE （P<0.01， with |r| values ranging from 0.56 to 0.66）. Meanwhile， non-antagonizing pairs of neurotransmitters in the whole brain and different brain regions also showed correlations， with DA/NE （P<0.01， |r| values ranging from 0.38 to 0.46） and NE/EXC （P<0.01， |r| values ranging from 0.56 to 0.61） showing weak and moderate negative correlations， respectively， and DA/EXC showing a weak positive correlation （P<0.01， |r| values ranging from 0.38 to 0.47）. （3） The six neurotransmitters in the 1 028 patients with depression presented a total of 170 expression patterns in the whole brain. The top 30 expression patterns were reported in this paper， with a cumulative rate of 60.60%， including patterns ① INH+/5-HT-/ACh+/DA+/NE-/EXC- （9.05%）， ② INH+/5-HT-/ACh↓/DA+/NE-/EXC- （4.57%）， and ③ INH+/5-HT-/ACh+/DA+/NE↓/EXC- （3.31%）. That is， the proportion of depression patients with normal levels of all the six neurotransmitters was 9.05%， and the patients with at least one neurotransmitter abnormality accounted for 91.95%. （4） The factor analysis extracted 22 common factors from 78 variables in the whole brain and different brain regions. These common factors showed the absolute values of loadings ranging from 0.32 to 0.86 and the eigenvalues （F） ranging from 1.03 to 13.43， with a cumulative contribution rate of 76.82%. The characteristic expression patterns included ① ACh_P3↓/ACh_W↓/ACh_C3↓/ACh_F3↓/ACh_O1↓/ACh_T5↓/ACh_F7↓/NE_P3↑/NE_W↑/NE_C3↑/NE_F3↑/NE_O1↑/NE_T5↑/NE_F7↑ （F=13.43， whole brain）， ② 5-HT_O2↑/DA_O2↓/5-HT_P4↑/DA_P4↓/5-HT_W↑/DA_W↓/5-HT_C4↑/DA_C4↓ （F=5.94）， and ③ EXC_F4↓/DA_F4↓/NE_F4↑/INH_F4↑/5-HT_F4↑/ACh_F4↓ （F=5.33）. ConclusionThe actual 170 expression patterns of 6 neurotransmitters in the whole brain of 1 028 depression patients indicate that depression is a heterogeneous disease with individualized characteristics. The 22 characteristic expression patterns in the whole brain and 12 brain regions verify the pathogenesis hypothesis of multi-neurotransmitters oscillation imbalance in brains of depression patients. In summary， this study provides new guidance for the etiology， diagnosis， and treatment of depression and establishes a methodological foundation for the effectiveness evaluation of individualized treatment of depression by traditional Chinese medicine based on the objective biological markers.

Lung cancer has the highest incidence and mortality rate among all cancers in China， with its complex and variable nature， long treatment duration， and often poor prognosis. Currently， the treatment of lung cancer mainly employs classical therapies such as surgery， radiotherapy， and chemotherapy， but some patients may experience a series of adverse reactions， which affect their quality of life， survival period， and treatment outcomes. As reported， oxidative stress is one of the important pathogenic factors of lung cancer， affecting its occurrence and development. Oxidative stress is a state of imbalance between oxidative products and antioxidant defense mechanisms in the body. The intervention of oxidative stress in the occurrence and development of lung cancer is related to multiple signaling pathways， including the Kelch-like ECH-associated protein 1 （Keap1）-nuclear factor erythroid 2-related factor 2 （Nrf2） signaling pathway， phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt）/mammalian target of rapamycin （mTOR） signaling pathway， mitogen-activated protein kinase （MAPK） signaling pathway， and nuclear factor-κB （NF-κB） signaling pathway. Currently， researchers in China and abroad have conducted extensive studies on the occurrence and development of lung cancer and the pathophysiological mechanisms of drug intervention. The results have shown that oxidative stress plays an important role in the occurrence and development of lung cancer. Chinese medicine monomers and compounds can regulate oxidative stress levels and intervene in related signaling pathways， thereby inhibiting or delaying the occurrence and development of lung cancer. Based on this， this article mainly summarized the relevant signaling pathways regulating oxidative stress intervention in lung cancer in recent years， and also reviewed the latest research on Chinese medicine monomers and compounds in regulating oxidative stress to treat lung cancer， aiming to provide new ideas for research on drug treatment of lung cancer and clinical drug development， as well as to provide references and guidance for further in-depth mechanistic studies in the future.

AIM: To investigate the structural changes in anterior segment of cataract patients after phacoemulsification combined with intraocular lens(Phaco+IOL)implantation, and to analyze theirs correlation.METHODS: Retrospective case study. A total of 44 cases(88 eyes)of cataract patients who underwent Phaco+IOL surgery at ophthalmology department of the Peking University Third Hospital from January 2018 to December 2022 and consented to pre- and postoperative ultrasound biomicroscopy(UBM)were included. Patients' sex, age, axial length, corneal curvature, and IOL parameters were collected. UBM was utilized to measure various anterior segment parameters pre- and post-surgery, including anterior chamber depth(ACD), scleral ciliary process angle(SCPA), iris-lens contact distance(ILCD), maximum ciliary body thickness(CBTmax), and ciliary body thickness at 0 mm from the scleral spur(CBT0). The posterior chamber area(PCA)was calculated using Image J software.RESULTS: Significant increases in ACD 3.50(2.89, 3.68)mm, CBTmax 1.199±0.233 mm, CBT0 1.11(0.964, 1.23)mm, and PCA 1.21(0.926, 1.57)mm2 were identified postoperatively compared with preoperative values(all P<0.001). The postoperative ILCD was significantly reduced to 0.00(0.00, 0.794)mm(P<0.001). There was no significant change in the postoperative SCPA 37.9°(33.4°, 46.6°; P=0.908). The increase in PCA varied significantly between genders(P=0.045), with males showing a greater mean postoperative increase(0.679 mm2)than females(0.304 mm2). Age significantly correlated with postoperative SCPA, CBTmax, and CBT0(P=0.002, 0.004, 0.009, respectively).CONCLUSION: Phaco+IOL surgery resulted in an enlargement of the PCA, significant increases in ACD, CBTmax, and CBT0, and a reduction in ILCD. The post-surgery increase of PCA was influenced by multiple factors, with age, preoperative ACD and SCPA being positively correlated, and preoperative CBT0 being negatively correlated. No significant differences were observed in the impact of different IOL brands on the structural changes of the anterior segment.

Objective:To investigate the disease control rate and its influencing factors in patients with progressive non-segmental vitiligo after combined treatment with systemic compound betamethasone injection (CBI) .Methods:A retrospective analysis was conducted on the patients with progressive non-segmental vitiligo, who visited and were treated with CBI in the Department of Dermatology, Hangzhou Third People′s Hospital from October 2022 to April 2023. The disease control rate was analyzed after 3-month treatment. Effects of clinical factors such as disease onset characteristics, duration, disease condition and treatment methods on the disease control rate were analyzed. Chi-square test was used for comparisons of enumeration data between groups, and logistic regression analysis was conducted to analyze factors influencing the efficacy.Results:A total of 145 progressive non-segmental vitiligo patients treated with CBI were collected, including 56 males and 89 females, aged 14 - 67 (35.43 ± 11.54) years. Among the 18 patients having received an intramuscular injection of CBI, 10 (55.6%) obtained stable condition; among the 105 having received 2 injections of CBI, 60 (59.0%) obtained stable condition; among the 22 having received 3 or 4 injections of CBI, 12 (54.5%) obtained stable condition. The overall disease control rate after treatment was 57.9% (84 cases). The disease control rate was significantly higher in the patients with the lesional area < 1% body surface area (BSA) (42/47, 89.4%) than in those with the lesional area ≥ 1% BSA (42/98, 42.9%; P < 0.001), significantly higher in the patients with disease duration ≤ 2 years (32/41, 78.0%) than in those with disease duration > 2 years (52/104, 50.0%; P < 0.05), and significantly higher in the patients treated with CBI combined with phototherapy (33/44, 75.0%) than in those treated with CBI alone (21/44, 47.7%; χ2 = 6.90, P = 0.009), but significantly lower in the patients with special clinical markers (Koebner phenomenon, trichrome vitiligo, confetti-like depigmentation, inflammatory vitiligo, etc., 4/21, 19.9%) than in those without special clinical markers (80/124, 64.5%, P < 0.001). Among the patients with the lesional area ≥ 1% BSA and receiving 2 injections of CBI, the disease control rate was also significantly higher in the patients treated with CBI combined with phototherapy (21/36, 58.3%) than in those treated with CBI alone (12/37, 32.4%; χ2 = 4.94, P = 0.026). There was no significant difference in the disease control rate after the treatment between the patients with first-onset and reccurrent vitiligo, between those with and without predisposing factors, between those with and without family history, among those with different vitiligo disease activity scores, among those with different number of injections, as well as among those with different treatment intervals (all P > 0.05). Multivariate logistic regression analysis showed that the lesional area ( OR = 8.11, 95% CI: 2.74 - 24.04), disease duration ( OR = 0.26, 95% CI: 0.07 - 0.99), having or not having special clinical markers ( OR = 6.37, 95% CI: 1.72 - 23.57), and whether or not receiving combined phototherapy ( OR = 0.34, 95% CI: 0.15 - 0.77) were factors influencing the efficacy (all P < 0.05) . Conclusion:CBI may be suitable for the treatment of mild to moderate progressive vitiligo, especially for patients with lesional area < 1% BSA, while not for those with lesional area > 5% BSA, and combining phototherapy may improve the control rate of progressive vitiligo.

Objective:To explore the association between the frequency of using smoking cessation application (APP) and the effect of smoking cessation in smoking cessation clinic.Methods:A clinical trial with a non-randomized controlled design was conducted in the smoking cessation clinic of China-Japan Friendship Hospital from July 2019 to June 2021. Participants were given a comprehensive smoking cessation intervention of mobile APP combined with bupropion. The primary outcome measures were carbon monoxide validated sustained abstinence at 9-12 weeks.Results:A total of 187 participants were included in the final analysis. After 12-week intervention, the sustained abstinence at 9-12 weeks was 42.2%. For the frequency of APP use, 20.9% (39/187) of the participants used it≥6 days per week, 62.0% (116/187) used it 2-5 days per week, and 17.1% (32/187) used it≤1 day per week. Multivariate analysis showed that smoking cessation rate was associated with smoking duration, cigarettes smoked per day and frequency of APP use. Participants with higher frequency of APP use had a higher likelihood of quitting smoking ( OR=4.95, 95% CI: 1.32-18.63). Conclusion:The increased frequency of mobile smoking cessation APP use is associated with higher probability of quitting smoking in smoking cessation clinic.

Objective:To describe the study methods and baseline characteristics of participants enrolled in mCessation program.Methods:This is a longitudinal, real-world study with non-randomized controlled design. The mCessation program consisted of a WeChat official account, an applet and a website using the same name ‘mCessation Online’. After users followed the WeChat account, filled in baseline information online and set a quit date, they would receive 162 short text messages in the next six and a half months as scheduled. This study collected the information of participants enrolled from May 26, 2021 to September 30, 2022, and analyzed baseline data including demographic characteristics, smoking characteristics, degree of tobacco dependence, reasons for smoking cessation and other related factors.Results:During the study period, a total of 16 746 participants registered, and 13 887 participants (82.9%) were enrolled in final analysis after screening the inclusion and exclusion criteria and completion of main indicators. Each year the number of enrolled participants in May or June was 1 381 to 2 707 per month, higher than the number of enrolled participants in other months (233 to 569 per month). Participants from North China accounted for the largest proportion (29.3%). There were 13 316 men (95.9%) in enrolled participants and the mean age was (36±10) years. Most participants were 25-34 (38.8%) or 35-44 (30.8%) years old. In terms of smoking characteristics, there were 12 564 (90.5%) daily smokers. The starting age of smoking was 18 (15, 20) years old. 11 866 participants (85.4%) were tobacco dependent, mostly with degree of mild (76.4%) or moderate (20.2%). In terms of reasons for quitting, 9 315 participants′ (67.1%) reasons were to prevent disease, 6 742 participants (48.5%) were concerned about impact of smoking on family members, and 6 731 participants (48.5%) were under requested by families.Conclusion:mCessation program can effectively recruit smokers with intention to quit in short time, especially those who were male, young and tobacco dependent.

Objective:To explore the contents and methods of clinical comprehensive evaluation of microecologics, with the example of Bifidobacterium quadruple viable tablet, in order to provide evidence for clinical rational use of microecologics, and microecologics research, development and related decision-making, and to promote rational use of medications. Methods:Based on the research data collected from systematic literature search, health technology assessment methods such as evidence-based medicine and pharmacoeconomics evaluation were used to estimate the safety, efficacy, economics, suitability, accessibility and innovation of Bifidobacterium quadruple viable tablet. Results:In terms of efficacy, Bifidobacterium quadruple viable tablet showed significant therapeutic effects in the treatment of pediatric diarrhea, antibiotic-related diarrhea, diarrhea-predominant irritable bowel syndrome, and secondary diarrhea caused by diseases such as ulcerative colitis, as well as constipation and functional dyspepsia. It can also be used in the treatment of various diseases such as Helicobacter pylori related gastritis, liver cirrhosis, non-alcoholic fatty liver disease. In terms of safety, the incidence of adverse effects of this medication was low, and most were mild to moderate and transient symptoms. In terms of economics, compared with mesalazine alone in the treatment of ulcerative colitis, the incremental cost-effectiveness ratio of combination of Bifidobacterium quadruple viable tablet and mesalazine was 1 743.2. Besides, the daily treatment cost of Bifidobacterium quadruple viable tablet was lower than that of combination of Bifidobacterium triple viable and Bacillus licheniformis (1.87 to 2.80 yuan vs. 2.08 to 5.78 yuan). In terms of innovation, this medication had multiple patents and had been identified as a high-tech product in Zhejiang Province. In terms of suitability, the overall suitability of use and technical characteristics of medication were good. It could be further improved in the aspects of dosage form and system. In terms of accessibility, the price of the medication was stable, affordable and accessible to the general public. Conclusions:Based on the existing evidence, Bifidobacterium quadruple viable tablet presented effective with supported evidences, good safety, accessibility and innovation. The suitability can be further optimized. However, more in-depth and targeted research is needed in terms of economics and innovation in different clinical applications, and there is space for optimization in medication suitability.

Objective:To evaluate the value of preoperative prediction of vessel invasion (VI) of locally advanced gastric cancer by machine learning model based on the venous phase enhanced CT radiomics features.Methods:A retrospective analysis of 296 patients with locally advanced gastric cancer confirmed by pathology in the First Affiliated Hospital of Zhengzhou University from July 2011 to December 2020 was performed. The patients were divided into VI positive group ( n=213) and VI negative group ( n=83) based on pathological results. The data were divided into training set ( n=207) and test set ( n=89) according to the ratio of 7∶3 with stratification sampling. The clinical characteristics of patients were recorded, and the independent risk factors of gastric cancer VI were screened by multivariate logistic regression. Pyradiomics software was used to extract radiomic features from the venous phase enhanced CT images, and the minimum absolute shrinkage and selection algorithm (LASSO) was used to screen the features, obtain the optimal feature subset, and establish the radiomics signature. Four machine learning algorithms, including extreme gradient boosting (XGBoost), logistic, naive Bayes (GNB), and support vector machine (SVM) models, were used to build prediction models for the radiomics signature and the screened clinical independent risk factors. The efficacy of the model in predicting gastric cancer VI was evaluated by the receiver operating characteristic curve. Results:The degree of differentiation (OR=13.651, 95%CI 7.265-25.650, P=0.003), Lauren′s classification (OR=1.349, 95%CI 1.011-1.799, P=0.042) and CA199 (OR=1.796, 95%CI 1.406-2.186, P=0.044) were independent risk factors for predicting the VI of locally advanced gastric cancer. Based on the venous phase enhanced CT images, 864 quantitative features were extracted, and 18 best constructed radiomics signature were selected by LASSO. In the training set, the area under the curve (AUC) of XGBoost, logistic, GNB and SVM models for predicting gastric cancer VI were 0.914 (95%CI 0.875-0.953), 0.897 (95%CI 0.853-0.940), 0.880 (95%CI 0.832-0.928) and 0.814 (95%CI 0.755-0.873), respectively, and in the test set were 0.870 (95%CI 0.769-0.971), 0.877 (95%CI 0.788-0.964), 0.859 (95%CI 0.755-0.961) and 0.773 (95%CI 0.647-0.898). The logistic model had the largest AUC in the test set. Conclusions:The machine learning model based on the venous phase enhanced CT radiomics features has high efficacy in predicting the VI of locally advanced gastric cancer before the operation, and the logistic model demonstrates the best diagnostic efficacy.

Objective : To explore the potential targets, pathways and related mechanisms of artesunate(ART) in the treatment of hepatocellular carcinoma(HCC) based on network pharmacology and Bioinformatics. Methods: The potential targets of ART were screened through pharmmapper database, PPI network was constructed and visual analysis was performed.The data of 424 HCC samples were downloaded from TCGA database, the data information of potential target genes were screened, and the differentially expressed target genes were analyzed.The key target genes were screened by univariate-multivariate COX regression analysis.Molecular docking software was used to conduct molecular docking between ART and key target genes.Differential expression and survival analysis of key target genes were performed using network database GEPIA2. KEGG pathway enrichment analysis was performed by R language. The effects of ART on the proliferation and migration of HCC cells were verified by MTS assay and scratch test. The expression of FABP5 in HCC cells was verified by qPCR and Western blot. Western blot was used to verify the protein changes of PI3K/AKT pathway. Results : A total of 282 potential target genes were screened by network pharmacology. Finally,three key target genes were screened out. The survival analysis of FABP5 in HCC was statistically significant(P<0. 01). Molecular docking showed that ART and FABP5 had the highest binding energy. Pathway enrichment analysis showed that FABP5 was mainly enriched in PI3K/AKT signaling pathway. Cell experiments verified that ART could inhibit the expression level of FABP5,that ART could regulate the PI3K/AKT pathway,and that ART could inhibit the proliferation and migration of HCC cells. Conclusion FABP5 may regulate the PI3K/AKT pathway by inhibiting FABP5 and thus affect HCC cell proliferation and migration,and FABP5may serve as a new target gene for ART therapy of HCC.