ObjectiveTo investigate the association between noninvasive liver fibrosis markers and carotid plaque （CP） in patients with lean metabolic dysfunction-associated fatty liver disease （MAFLD）， and to provide a basis for screening high-risk populations. MethodsA total of 957 patients with lean MAFLD who underwent physical examination in Subei People’s Hospital from January 2021 to June 2023 was enrolled as the observation cohort， with the presence or absence of CP as the outcome， and fibrosis-4 （FIB-4） index and nonalcoholic fatty liver disease fibrosis score （NFS） were used to assess liver fibrosis degree. The independent-samples t test was used for comparison of normally distributed continuous data between two groups， and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups； the chi-square test was used for comparison of categorical data between two groups. The multivariate logistic regression analysis， the restricted cubic spline analysis， the receiver operating characteristic curve， and the mediation effect analysis were used to investigate the association between liver fibrosis degree and CP. ResultsThe prevalence rate of CP was 36.6% in the lean MAFLD population. Compared with the non-CP group（n=607）， the CP group （n=350） had a significantly higher proportion of male patients， a significantly higher proportion of patients with smoking/diabetes/hypertension， and significantly higher levels of age， creatinine， blood urea nitrogen， triglycerides， fasting blood glucose， aspartate aminotransferase， aspartate aminotransferase/alanine aminotransferase ratio， NFS， and FIB-4 index， as well as significantly lower levels of platelet count and albumin （all P<0.05）. The multivariate logistic regression analysis showed that after adjustment for confounding factors， FIB-4 index （odds ratio［OR］=2.979， 95% confidence interval［CI］：2.141 — 4.219， P<0.001） and NFS （OR=1.747， 95%CI： 1.499 — 2.046， P<0.001） were positively correlated with CP. Both FIB-4 index and NFS had a good value in predicting CP. Hypertension had a significant indirect effect on the prevalence rate of CP through its impact on liver fibrosis markers， and its mediating effect accounted for 39.5% — 40.8% of the total effect （P<0.001）. ConclusionIn patients with lean MAFLD， NFS and FIB-4 index are significantly positively correlated with the prevalence rate of CP， and they can be used as potential epidemiological predictive indicators. Liver fibrosis markers may play a mediating role in the association between hypertension and CP. Interventions targeting hypertension and liver fibrosis markers may help to prevent and delay the progression of CP.

Primary ciliary dyskinesia (PCD) is a genetically heterogeneous disease characterized by structural or functional abnormalities of motile cilia. It often presents clinically with recurrent respiratory infections, situs inversus, hydrocephalus, and infertility. Currently, there is no clinical treatment to directly restore ciliary motility in PCD patients.In recent years, researchers have explored gene therapy methods such as gene replacement, gene editing, and RNA replacement in vitro and in mouse models, offering potential new strategies for PCD treatment. This paper comprehensively reviews the current status of PCD gene therapy research, evaluates the potential of different gene therapies, and provides an outlook on the future treatment directions for this disease.

The importance of gait assessment in the rehabilitation of cancer patients is gradually being recognized. However, quantitative analysis of balance ability in cancer patients is still limited. A total of 102 cancer patients meeting the inclusion criteria were recruited from Hefei Cancer Hospital, Chinese Academy of Sciences. Their balance ability was evaluated using the Berg Balance Scale (BBS). Gait data were collected by an electronic walkway and an IMU sensor system, including spatial-temporal and kinematic gait features such as step length, cadence, support time, and range of motion. Recursive feature elimination was used for feature selection. Ridge, Elastic Net, SVR, RF, and AdaBoost models were used to predict balance ability scores. Five-fold cross-validation was used to evaluate the performance of these models. Results show that the SVR model achieves the best performance with fifteen features (RMSE=3.22, R ²=0.91), followed by Ridge (RMSE=3.63, R ²=0.89). A method for evaluating balance ability based on gait features is proposed, providing a quantitative tool for personalized rehabilitation interventions in cancer patients.
Humans ; Postural Balance ; Neoplasms/rehabilitation* ; Gait ; Gait Analysis ; Biomechanical Phenomena ; Female

Objective:To investigate whether neoadjuvant therapy can improve the prognosis of patients with pancreatic cancer.Methods:A retrospective case-control study analyzed data from the Surveillance, Epidemiology, and End Results (SEER) database on 12, 103 patients who underwent surgical treatment between January 1, 2010, and December 31, 2021. Patients were divided into the neoadjuvant therapy group ( n=3 276) and the upfront surgery group ( n=8 827) based on whether they received neoadjuvant treatment. The neoadjuvant therapy group included 2 342 patients receiving neoadjuvant chemotherapy and 934 patients receiving neoadjuvant chemoradiotherapy. The upfront surgery group consisted of 4 335 patients receiving adjuvant chemotherapy, 1 987 patients receiving adjuvant chemoradiotherapy, 63 patients receiving adjuvant radiotherapy, and 2 442 patients undergoing surgery alone. Propensity score matching was used to eliminate group differences and create a cohort with no statistical differences in other clinicopathological features except for the grouping variable. Variables such as age, gender, tumor location, race, population of residence, tumor diameter, household income, TNM stage, and information on radiotherapy and chemotherapy were used for 1∶1 case matching. T stage, N stage, and the use of radiotherapy or chemotherapy were matched exactly. After matching, 1 182 patients were included in each group: the neoadjuvant therapy group contained 1 155 patients receiving neoadjuvant chemoradiotherapy and 27 receiving neoadjuvant chemotherapy, while the upfront surgery group comprised 848 patients receiving adjuvant chemotherapy and 334 receiving adjuvant chemoradiotherapy. TNM staging was reported according to the 7th edition of the AJCC guidelines. The primary outcome was overall survival. Measurement data with skewed distributions were expressed as M( Q1, Q3), and intergroup comparisons were conducted using the Wilcoxon rank-sum test. Categorical data were compared using the chi-square test or the Fisher′s exact test. The Log-rank test and subgroup analyses to assess interactions between neoadjuvant therapy and subgroup in COX regression models were used to compare survival benefits across variables. Landmark analysis was performed to create segmented survival curves, studying the impact of neoadjuvant therapy on prognosis during different follow-up periods. Results:The neoadjuvant therapy group had a higher proportion of T 4 tumor involving celiac axis, superior mesenteric artery, and/or common hepatic artery compared to the upfront surgery group (14.7% vs 2.8%, P<0.001). Additionally, significant differences were observed between groups in terms of race, location, population of residence, age, tumor diameter, tumor stage, and adjuvant therapy regimen ( P<0.05). The median overall survival time in the neoadjuvant therapy group was 30 months, compared to 22 months in the upfront surgery group ( P<0.001). In the neoadjuvant therapy group, the median survival was 30 months for both neoadjuvant chemotherapy and chemoradiotherapy patients; in the upfront surgery group, it was 26 months for both adjuvant chemotherapy and chemoradiotherapy patients, 17 months for adjuvant radiotherapy patients, and 12 months for surgery-only patients. After propensity score matching, there were no differences in the distribution of clinical characteristics between groups ( P>0.05), and all patients in the matched cohort had received chemotherapy. The matched neoadjuvant therapy group had a longer median overall survival compared to the upfront surgery group (30 months vs 27 months, P<0.001). Subgroup interaction analysis revealed that T stage had a significant interaction with neoadjuvant therapy, both before (T 4 stage: HR=0.382, 95% CI: 0.319-0.458; T 2-T 3 stages: HR=0.696, 95% CI: 0.656-0.738; T 1 stage: HR=1.199, 95% CI: 0.867-1.657; interaction P<0.001) and after matching (T 4 stage: HR=0.581, 95% CI: 0.414-0.814; T 2-T 3 stages: HR=0.827, 95% CI: 0.734-0.931; T 1 stage: HR=1.320, 95% CI: 0.716-2.433; interaction P=0.043). Subgroup interaction analysis indicated that T 1 patients did not benefit from neoadjuvant therapy; survival curves plotted for matched T 1 patients showed no difference in survival between the neoadjuvant therapy group and the upfront surgery group ( P=0.323). Conversely, non-T 1 (T 2-T 4) stage patients showed significant survival benefits in both unmatched and matched cohorts ( P<0.001). Landmark analysis showing that the survival benefits occurred mainly in the early postoperative period of up to 3 years ( P<0.001), but there was no difference in overall survival between the neoadjuvant therapy group and the upfront surgery group of >3 years ( P>0.05). Patients with Arterial invasion (T 4 stage compared to T 1-T 3 stages) showed a similarly significant interaction with the benefit of neoadjuvant therapy in both the pre-matching cohort (interaction P<0.001) and the post-matching cohort (interaction P=0.037). Patients with T 4 stage disease in the neoadjuvant therapy group had longer overall survival compared to the upfront surgery group (median overall survival in pre-matching cohort: 30 months vs 13 months, P<0.001; median overall survival in post-matching cohort: 28 months vs 18 months, P=0.001). Among T 4 stage patients in the post-matching cohort, neoadjuvant therapy provided significant survival benefits during the early postoperative period of up to 3 years ( P=0.001). However, there was no difference in overall survival between the neoadjuvant therapy group and the direct surgery group beyond 3 years( P=0.729). Conclusions:The prognosis in the neoadjuvant therapy group was better than in the upfront surgery group. Propensity score matching and subgroup interaction analysis showed that non-T 1 and T 4 stage patients benefited more from neoadjuvant therapy, with benefits mainly seen in the early postoperative period (≤3 years).

This study aimed to investigate the differences in peripheral blood lymphocyte subsets among patients with different immune statuses in the early postoperative period after liver transplantation, as well as the dynamic changes during the early post-transplantation period. A retrospective study was conducted, selecting a total of 82 patients who underwent liver transplantation at the General Hospital of PLA Southern Theater Command from January, 2018 to December, 2023. Based on the patients′ postoperative immune status, they were categorized into stable group ( n=40), infection group ( n=21), and rejection group ( n=21). Peripheral blood samples of 2-3 ml were collected from patients at weeks 1 to 4 postoperatively, and flow cytometry was employed to measure the absolute values of peripheral blood lymphocyte subsets. For metric data conforming to normal distribution and homogeneity of variance, multiple group comparisons were conducted using ANOVA and Bonferroni multiple comparisons; for non-normally distributed data, the Kruskal Wallis test was used. Friedman test was used to compare different time periods within 4 weeks after liver transplantation. The results showed that there were no statistically significant differences in the absolute values of lymphocyte subsets among the three groups in the first week after liver transplantation ( P>0.05); however, significant differences were observed in the absolute values of lymphocyte subsets among the three groups in the second, third, and fourth weeks postoperatively ( P<0.05). In the second week, the rejection group showed significantly higher absolute counts of T cells, CD4 +T cells, CD8 +T cells, NK cells, and B cells compared to the infection group (585.0 vs. 199.0; 324.0 vs.113.0; 188.0 vs.56.0; 57.0 vs.11.0; 145.0 vs.65.0 cells/μl), with statistically significant differences ( Z=-3.972, P<0.001; Z=-3.590, P=0.001; Z=-3.978, P<0.001; Z=-3.072, P=0.006; Z=-2.472, P=0.040). In the third week, the rejection group showed significantly higher absolute counts of T cells, CD4 +T cells, and CD8 +T cells compared to the infection group (660.0 vs.216.0; 350.0 vs.123.0; 184.0 vs.76.0 cells/μl), with statistically significant differences ( Z=-3.019, P=0.008; Z=-3.492, P=0.001; Z=-2.845, P=0.013). In the fourth week, the rejection group showed significantly higher absolute counts of T cells, CD4 +T cells, CD8 +T cells, and B cells compared to the infection group (690.0 vs.273.0; 405.0 vs.168.0; 214.0 vs.96.0; 117.0 vs.48.0 cells/μl), with statistically significant differences ( Z=-3.379, P=0.002; Z=-3.068, P=0.006; Z=-3.007, P=0.0086; Z=-2.330, P=0.020). Within 4 weeks after liver transplantation, the absolute values of T cells, CD8 +T cells, and NK cells in the fourth week were higher than those in the first week, with statistically significant differences ( Z=-3.825, P=0.001; Z=-3.466, P=0.003; Z=-3.526, P=0.003); however, the absolute values of B cells showed an overall decreasing trend, and were significantly lower in the fourth week than in the first and second weeks, with statistically significant differences ( Z=3.705, P=0.001; Z=2.630, P=0.009). The changes in lymphocyte subset absolute values in the rejection group were more significant than those in the infection group, with T cells, CD4 +T cells, and CD8 +T cells showing significant increases in the second, third, and fourth weeks postoperatively compared with the first week, with statistically significant differences ( Z=-3.466, P=0.003; Z=-4.661, P<0.001; Z=-5.020, P<0.001; Z=-2.749, P=0.036; Z=-4.422, P<0.001; Z=-4.542, P<0.001; Z=-3.466, P=0.003; Z=-3.765, P=0.001; Z=-4.482, P<0.001); NK cell absolute values in the third and fourth weeks postoperatively were significantly higher than those in the first week, with statistically significant differences ( Z=-2.570, P=0.061; Z=-3.765, P=0.001). In summary, monitoring the differences and dynamic changes of lymphocyte subsets in patients after liver transplantation may have certain guiding significance for evaluating the immune function status of patients and adjusting treatment plans.

OBJECTIVE: To identify the protective effect of empagliflozin on ischemic brain injury and neurological dysfunction in mice, and further explore its potential mechanism. METHODS: Acute cerebral ischemia model was induced by the permanent middle cerebral artery occlusion surgery in C57BL/6J mice. Empagliflozin(10 and 30 mg·kg−1) was administered to mice one hour after the onset of occlusion. Brain infarct volume and neurological defect score were assayed 24 h after surgery. Mice were subjected to photo-thrombosis and further administered with empagliflozin 3, 10, 30 mg·kg−1 intragastricly for either 7 or 14 consecutive days. The grid-walking task and the cylinder task were performed daily to determine the sensory-motor function of the mice. Alternatively, the mice were treated with 10 mg·kg−1 empagliflozin simultaneously with 10% glucose(i.p.) for 7 consecutive days after the photo-thrombosis model to evaluate their motor sensory function. Immunofluorescence staining was used to detect the activation of microglia within the infarct area 7 d after the photo-thrombosis. RESULTS: One hour after permanent middle cerebral artery occlusion surgery, gavage of empagliflozin significantly increased the brain infarct volume and neurological dysfunction. While in photo-thrombosis surgery, treatment of empagliflozin(10 mg·kg−1) for consecutive 7 or 14 days significantly decreased the rate of false foot in grid-walking task and the assymetric index in cylinder task. At the dose of 30 mg·kg−1, however, empagliflozin even aggravated photo-thrombosis-induced neurological dysfunction, while the dose of 3 mg·kg−1 showed no effect. Unexpectedly, the protective effect of empagliflozin(10 mg·kg−1) could not be reversed by glucose treatment. The results of immunofluorescence showed that empagliflozin(10 mg·kg−1) significantly alleviated the microglia activation in the ischemic area after the photo-thrombosis operation. CONCLUSION Empagliflozin cannot protect against acute ischemia-induced brain injury in mice. Empagliflozin alleviated ischemia-induced neurological dysfunction with consecutive administration in a dose-related manner. Empagliflozin-conferred neuroprotection may not be attributable to its effects on lowing blood glucose. Alternatively, empagliflozin may play a neuroprotective effect by inhibiting the excessive activation of microglia in ischemic brains.

BackgroundDepression as a major mental health condition is commonly found in junior high school students. Peer attachment， emotional resilience and childhood abuse have been found to be associated with depressive symptoms， and it has been hypothesized that peer attachment and emotional resilience may play a chained effecting path in the relationship between childhood abuse and depressive symptoms in junior high school students. ObjectiveTo explore the relationship between childhood abuse and depressive symptom in junior high school students， analyze the effecting path of peer attachment and emotional resilience， thus to provide references for improving the mental health of junior high school students. MethodsFrom May to July 2022， a cluster sampling technique was utilized to recruit 1 781 junior high school students from a junior high school in Anhui province. Childhood Trauma Questionnaire Short Form （CTQ-SF）， Revised version of Inventory of Parent and Peer Attachment （IPPA-R）， Adolescent' Emotional Resilience Questionnaire （AERQ） and Center for Epidemiological Studies Depression Scale （CES-D） were used as the measurement tools. Pearson correlation coefficient was calculated to assess the correlation among above scales. Process4.2 and Bootstrapping method were employed to verify the effecting path of peer attachment and emotional resilience in the relationship between childhood abuse and depressive symptoms. ResultsCTQ-SF score was negatively correlated with IPPA-R peer attachment subscale score and AERQ score （r=-0.527， -0.495， P<0.01） and positively correlated with CES-D score （r=0.669， P<0.01） in junior high school students. IPPA-R peer attachment subscale score was positively correlated with AERQ score （r=0.556， P<0.01） and negatively correlated with CES-D score （r=-0.599， P<0.01） in junior high school students. AERQ score was negatively correlated with CES-D score （r=-0.698， P<0.01） in junior high school students. Childhood abuse in junior high school students was shown to be a positive predictor of depressive symptoms （β=0.675， P<0.01） and a negative predictor of peer attachment （β=-0.824， P<0.01） and emotional resilience （β=-0.305， P<0.01）. Peer attachment and emotional resilience were independent effecting path between childhood abuse and depressive symptoms， with indirect effect size of 0.093 （95% CI： 0.066~0.122） and 0.108 （95% CI： 0.084~0.133）， respectively. Peer attachment and emotional resilience affected as a chain effecting path between childhood abuse and depressive symptoms， with indirect effect size of 0.087 （95% CI： 0.071~0.105）， accounting for 12.89% of the total effect. ConclusionChildhood abuse in junior high school students can affect the presence of depressive symptom both directly and indirectly through either separate or chained effecting path of peer attachment and emotional resilience. ［Funded by 2020 Provincial General Scientific Research Project of West Anhui Health Vocational College （number， KJ2020B006）； 2024 Provincial University Natural and Humanities Sciences Research Project of West Anhui Health Vocational College （number， 2024AH053467）］

OBJECTIVE To comprehensively evaluate the three oral Janus kinase inhibitors （JAKi） such as upadacitinib， abrocitinib and baricitinib in the treatment of atopic dermatitis. METHODS The six dimensions of safety， efficacy， economy， appropriateness， accessibility and innovativeness were used for evaluation. Meta-analysis was conducted to evaluate the safety and efficacy of three oral JAKi； pharmacoeconomic studies were searched， and the treatment costs were calculated to evaluate the economy of each JAKi. Appropriateness was described based on literature review and drug labels. Accessibility of three oral JAKi was assessed by using a questionnaire survey. The innovation of JAKi was elucidated from the perspective of its mechanism of action. RESULTS In terms of safety， the incidence of upper respiratory tract infection （OR＝1.47， 95%CI of 1.04-2.08， P＝0.03） and nasopharyngitis （OR＝1.44， 95%CI of 1.06-1.95， P＝0.02） in the upadacitinib 30 mg group was significantly higher than that in the placebo group； the incidence of nasopharyngitis in baricitinib 4 mg group was significantly higher than that in the placebo group （OR＝2.24， 95%CI of 1.39-3.61， P＝0.000 8） and baricitinib 2 mg group （OR＝0.48， 95%CI of 0.31-0.74，P＝0.001）. In terms of efficacy， regardless of the dosage， all three JAKi groups were superior to the placebo group， and the high-dose groups of upadacitinib and abrocitinib were superior to the low-dose groups （P＜0.000 1）. In terms of economy， the annual treatment cost of baricitinib was the lowest （13 870.0 yuan）， but it has not been approved for atopic dermatitis indication in China； next was upadacitinib （27 192.5 yuan）. In terms of appropriateness， the overall appropriateness of the three JAKis was good， but none of them was suitable for patients with severe liver injury. In terms of accessibility， baricitinib had the highest availability rate （59.4%）， but the affordability of upadacitinib was relatively good under China’s medical insurance system. In terms of innovation， among the three types of JAKi， upadacitinib and abrocitinib had better innovation. CONCLUSIONS Three oral JAKi treatments for atopic dermatitis have controllable safety and good efficacy. Considering the issue of medical insurance reimbursement， it is recommended that Chinese patients use upadacitinib.

Objective:To evaluate the role of O-sialoglycoprotein endopeptidase (OSGEP) in hepatic ischemia-reperfusion injury (HIRI) and the relationship with oxidative stress in mice.Methods:Experiment Ⅰ Twenty-four SPF healthy male C57BL/6 mice, 12 wild-type and 12 OSGEP knockdown, aged 6-8 weeks, weighing 18-22 g, were divided into 4 groups ( n=6 each) by the random number table method: wild-type shamoperation group (Sham group), wild-type HIRI group (HIRI group), OSGEP knockdown+ sham operation group (Sham+ KD group) and OSGEP knockdown+ HIRI group (HIRI+ KD group). Ischemia-reperfusion model was prepared by blocking the hepatic artery and portal vein for 60 min followed by reperfusion in anesthetized animals, the blood vessels were only exposed without occlusion in Sham group and Sham+ KD group, and the blood vessels were clamped for 60 min followed by reperfusion in HIRI group and HIRI+ KD group. The mice were sacrificed after 6-h reperfusion to extract liver tissue samples for microscopic examination of histopathological changes (with an optical microscope after HE staining) which were evaluated using Suzuki score and for determination of the serum concentrations of alanine aminotransferase (ALT) and aspartate aminotransferase (AST), level of reactive oxygen species (ROS) (using the DCFH-DA fluorescent probe method), contents of malondialdehyde (MDA) and glutathione(GSH) in liver tissues (using a colorimetric method) and expression of OSGEP (using Western blot). Experiment Ⅱ The well-growing AML12 cells were divided into 4 groups ( n=30 each) using a random number table method: control group (C group), oxygen-glucose deprivation/restoration (OGD/R) group, OGD/R+ OSGEP knockdown group (OGD/R+ KD group), and OGD/R+ OSGEP knockdown negative control group (OGD/R+ NC group). Group C was cultured under normal conditions. Group OGD/R was subjected to O 2-glucose deprivation for 6 h followed by restoration of O 2-glucose supply for 24 h in OGD/R group. In OGD/R+ KD group, stable transfection of AML12 cells with OSGEP knockdown was performed prior to the experiment, and the other procedures were the same as those previously described. The cell survival rate was measured by the CCK-8 assay, the release of lactate dehydrogenase (LDH) was measured, the DCFH-DA method was used to detect the levels of ROS, and the contents of MDA and GSH were determined using a colorimetric method. Results:Experiment Ⅰ Compared with Sham group, the expression of OSGEP was significantly down-regulated, the serum concentrations of AST and ALT, Suzuki score, levels of ROS and content of MDA were increased, and the GSH content was decreased in HIRI group ( P<0.05), and no significant change was found in each parameter in Sham+ KD group ( P>0.05). Compared with HIRI group, the serum concentrations of AST and ALT, Suzuki score, levels of ROS and content of MDA were significantly increased, and the GSH content was decreased in HIRI+ KD group ( P<0.05). Experiment Ⅱ Compared with group C, the expression of OSGEP was significantly down-regulated, the cell survival rate and GSH content were decreased, and the release of LDH, levels of ROS and content of MDA were increased in group OGD/R ( P<0.05). Compared with OGD/R group, the cell survival rate and GSH content were significantly decreased, and the release of LDH, levels of ROS and content of MDA were increased in OGD/R+ KD group ( P<0.05), and no significant change was found in each parameter in OGD/R+ NC group ( P>0.05). Conclusions:OSGEP plays an endogenous protective role in HIRI by inhibiting oxidative stress in mice.

This study aimed to investigate the differences in peripheral blood lymphocyte subsets among patients with different immune statuses in the early postoperative period after liver transplantation, as well as the dynamic changes during the early post-transplantation period. A retrospective study was conducted, selecting a total of 82 patients who underwent liver transplantation at the General Hospital of PLA Southern Theater Command from January, 2018 to December, 2023. Based on the patients′ postoperative immune status, they were categorized into stable group ( n=40), infection group ( n=21), and rejection group ( n=21). Peripheral blood samples of 2-3 ml were collected from patients at weeks 1 to 4 postoperatively, and flow cytometry was employed to measure the absolute values of peripheral blood lymphocyte subsets. For metric data conforming to normal distribution and homogeneity of variance, multiple group comparisons were conducted using ANOVA and Bonferroni multiple comparisons; for non-normally distributed data, the Kruskal Wallis test was used. Friedman test was used to compare different time periods within 4 weeks after liver transplantation. The results showed that there were no statistically significant differences in the absolute values of lymphocyte subsets among the three groups in the first week after liver transplantation ( P>0.05); however, significant differences were observed in the absolute values of lymphocyte subsets among the three groups in the second, third, and fourth weeks postoperatively ( P<0.05). In the second week, the rejection group showed significantly higher absolute counts of T cells, CD4 +T cells, CD8 +T cells, NK cells, and B cells compared to the infection group (585.0 vs. 199.0; 324.0 vs.113.0; 188.0 vs.56.0; 57.0 vs.11.0; 145.0 vs.65.0 cells/μl), with statistically significant differences ( Z=-3.972, P<0.001; Z=-3.590, P=0.001; Z=-3.978, P<0.001; Z=-3.072, P=0.006; Z=-2.472, P=0.040). In the third week, the rejection group showed significantly higher absolute counts of T cells, CD4 +T cells, and CD8 +T cells compared to the infection group (660.0 vs.216.0; 350.0 vs.123.0; 184.0 vs.76.0 cells/μl), with statistically significant differences ( Z=-3.019, P=0.008; Z=-3.492, P=0.001; Z=-2.845, P=0.013). In the fourth week, the rejection group showed significantly higher absolute counts of T cells, CD4 +T cells, CD8 +T cells, and B cells compared to the infection group (690.0 vs.273.0; 405.0 vs.168.0; 214.0 vs.96.0; 117.0 vs.48.0 cells/μl), with statistically significant differences ( Z=-3.379, P=0.002; Z=-3.068, P=0.006; Z=-3.007, P=0.0086; Z=-2.330, P=0.020). Within 4 weeks after liver transplantation, the absolute values of T cells, CD8 +T cells, and NK cells in the fourth week were higher than those in the first week, with statistically significant differences ( Z=-3.825, P=0.001; Z=-3.466, P=0.003; Z=-3.526, P=0.003); however, the absolute values of B cells showed an overall decreasing trend, and were significantly lower in the fourth week than in the first and second weeks, with statistically significant differences ( Z=3.705, P=0.001; Z=2.630, P=0.009). The changes in lymphocyte subset absolute values in the rejection group were more significant than those in the infection group, with T cells, CD4 +T cells, and CD8 +T cells showing significant increases in the second, third, and fourth weeks postoperatively compared with the first week, with statistically significant differences ( Z=-3.466, P=0.003; Z=-4.661, P<0.001; Z=-5.020, P<0.001; Z=-2.749, P=0.036; Z=-4.422, P<0.001; Z=-4.542, P<0.001; Z=-3.466, P=0.003; Z=-3.765, P=0.001; Z=-4.482, P<0.001); NK cell absolute values in the third and fourth weeks postoperatively were significantly higher than those in the first week, with statistically significant differences ( Z=-2.570, P=0.061; Z=-3.765, P=0.001). In summary, monitoring the differences and dynamic changes of lymphocyte subsets in patients after liver transplantation may have certain guiding significance for evaluating the immune function status of patients and adjusting treatment plans.