Objective: To compare the biological characteristics of human induced pluripotent stem cell-derived platelet exosomes (hiPSC-Plt-Exos) with those of conventional apheresis platelet exosomes (Plt-Exos), specifically focusing on their differential abilities to enhance the proliferation and migration of human umbilical cord mesenchymal stem cells (hUC-MSCs). Methods: Exosomes were isolated from hiPSC-derived Plt and apheresis Plt concentrate using size exclusion chromatography. These exosomes were then characterized through nanoparticle tracking analysis (NTA), transmission electron microscopy (TEM), and Western blotting. Co-culture experiments into hUC-MSCs were conducted with hiPSC-Plt-Exos and apheresis Plt-Exos, respectively. Their effects on the proliferation and migration of hUC-MSCs were assessed via cell proliferation assays and scratch tests. Results: hiPSC-Plt-Exos and apheresis Plt-Exos exhibited comparable particle sizes, morphological features (such as the characteristic cup-shaped structure), and surface markers (including CD9 and HSP70). Notably, hiPSC-Plt-Exos demonstrated a significantly greater ability to enhance the proliferation and migration of hUC-MSCs compared to apheresis Plt-Exos (P<0.05). These differences provide critical comparative data for their application in various clinical contexts. Conclusion: This study establishes a theoretical foundation for developing precise therapeutic strategies based on hiPSC-Plt-Exos. Furthermore, it underscores the necessity of selecting the appropriate type of exosomes according to the specific disease microenvironment to achieve optimal therapeutic outcomes.

Objective To evaluate efficacy and safety of 5 different Chinese herbal decoctions in the treatment of rheumatoid arthritis(RA)by network Meta-analysis.Methods PubMed,Embase,Cochrane Library and Web of Science,CNKI,WanFang Data and VIP databases were electronically searched to collect randomized controlled trials(RCTs)of 5 kinds of traditional Chinese medicine decoctions(Juanbi decoction,Wutou decoction,Baihu plus Guizhi decoction,Guizhi Shaoyao Zhimu decoction and Duhuo Jisheng decoction)combined with conventional treatment such as methotrexate and meloxicam from inception to January 1,2024.Two reviewers independently screened literature,extracted data and assessed risk bias of included studies.The network Meta-analysis was then performed using Stata 17 software.Results A total of 35 RCTs involving 3 316 patients were included.The results of the network Meta-analysis found that compared with conventional treatment,5 kinds of traditional Chinese medicine decoction+conventional treatment significantly increased total clinical effective rate(P＜0.05);Juanbi decoction+conventional treatment,Guizhi Shaoyao Zhimu decoction+conventional treatment,Duhuo Jisheng decoction+conventional treatment significantly reduced RF level(P＜0.05);Juanbi decoction+conventional treatment,Wutou decoction+conventional treatment,Guizhi Shaoyao Zhimu decoction+conventional treatment,Duhuo Jisheng decoction+conventional treatment significantly reduced CRP level and ESR level(P＜0.05);Guizhi Shaoyao Zhimu decoction+conventional treatment,Duhuo Jisheng decoction+conventional treatment significantly reduced incidence of adverse reactions(P＜0.05).The cumulative probability ranking results showed that Guizhi Shaoyao Zhimu decoction+conventional treatment had the best effect in improving the total clinical effective rate and reducing RF level and incidence of adverse reactions;Wutou decoction+conventional treatment had the best effect in reducing CRP level;Juanbi decoction+conventional treatment had the best effect in reducing ESR level.Conclusion Traditional Chinese medicine decoction combined with conventional treatment can improve the overall efficacy of RA.In terms of improving indexes,Guizhi Shaoyao Zhimu Decoction or Juanbi decoction combined with conventional treatment can be selected for clinical treatment of RA.Guizhi Shaoyao Zhimu decoction or Duhuo Jisheng decoction combined with conventional therapy can be selected to improve safety.Due to the limited quantity and quality of the included studies,more high-quality studies are needed to verify the above conclusion.

Objective:To summarize the characteristics of color doppler flow imaging (CDFI) of ocular toxocariasis (OT) in children.Methods:A retrospective clinical study. From July 2014 to June 2020, 61 OT patients with 61 eyes diagnosed through clinical and laboratory testing in the Department of Ophthalmology of Beijing Tongren Hospital of Capital Medical University were included in the study. There were 45 males with 45 eyes and 16 females with 16 eye (male: female=2.81:1). Age were (6.93±2.50) years. The right eye and left eye were 29 and 32 eyes, respectively. Both eyes of the patient underwent two-dimensional ultrasound and CDFI examination. Two dimensional ultrasound was used to estimate the axial length (AL) of the affected eyes and healthy eyes on the opposite side. Among them, 52 cases were measured for AL using optical biometry and/or A-mode ultrasound. Vitreoretinal surgery was performed within one week after ultrasound examination. Two-dimensional ultrasound was used to observe the morphology of vitreous opacity, its connection to the eyeball wall, and whether posterior vitreous detachment and retinal detachment have occurred. CDFI examination was used to observe the presence of blood flow signals on the pathological membrane. The detection rates of different forms of vitreous opacity and traction retinal detachment were calculated. The location of proliferative lesions in the eye was analyzed. Paired t-test was performed to compare the AL of the affected eye and the healthy eye on the opposite side. Perform Kappa consistency test on the location of proliferative lesions was used during CDFI examination and vitreoretinal surgery. Results:All affected eyes have varying degrees of vitreous opacity. Among them, 23 eyes (37.7%, 23/61) showed typical "Christmas tree" like turbidity; 27 eyes (44.3%, 27/61) had clustered and striped echoes; 9 eyes (14.8%, 9/61) had weak punctate and strip echoes. Two eyes (3.3%, 2/61) showed a large amount of dense punctate and strip-shaped echoes. There were 50 eyes (82.0%, 50/61) with traction retinal detachment, of which 46 eyes (92.0%, 46/50) had visible blood flow signals on the detached retina, and the remaining 4 eyes (8.0%, 4/50) had no blood flow signals. During CDFI and surgery, there were 5 (8.2%, 5/61) and 4 (6.6%, 4/61) eyes with visible proliferative lesions in the periphery, respectively; 18 (29.5%, 18/61) and 14 (23.0%, 14/61) eyes were distributed in the posterior pole, respectively; there were 38 (62.3%, 38/61) and 43 (70.5%, 43/61) eyes with both peripheral and posterior polar regions, respectively. The consistency between CDFI and surgery in detecting the location of proliferative lesions was good ( κ=0.832, 95% confidence interval 0.691-0.973, P<0.001). The two-dimensional ultrasound measurement results showed that the AL of the affected eye was shorter than that of the contralateral healthy eye in 46 cases (75.4%, 46/61). Among the 52 patients who underwent AL biometry, the AL of the affected eye was shorter than that of the contralateral healthy eye by (0.63±0.68) mm, and the difference was statistically significant ( t=-6.738, P<0.05). Conclusions:CDFI can clearly display various intraocular lesions (vitreous opacity and traction retinal detachment) and eyeball sizes in children with OT. Vitreous opacity is often manifested as "Christmas tree" like, clustered, strip-shaped.

Objective To compare artificial intelligence-assisted diagnostic system and conventional manual CT image interpretation for detection of positive pulmonary nodules and differential diagnosis of benign and malignant pulmonary nodules, and to provide a reference for the application of artificial intelligence in clinical screening for lung cancer. Methods Patients who underwent chest CT scans for pulmonary nodules from March 2019 to December 2023 were enrolled. The CT images were subjected to artificial intelligence-based and conventional manual CT image interpretation. The pathological examination results of pulmonary lesions served as a gold standard for comparison of artificial intelligence-based and conventional manual CT image interpretation in detection rate of positive pulmonary nodules and differential diagnosis of benign and malignant pulmonary nodules. Results A total of 327 positive pulmonary nodules were identified in 207 patients. The detection rate of positive pulmonary nodules was significantly higher with artificial intelligence-based CT image interpretation than with conventional manual CT image interpretation (95.72% vs. 86.85%; χ²=16.16, P < 0.01). Moreover, artificial intelligence-based CT image interpretation showed significantly higher detection rates for solid (χ²=7.71, P < 0.01) and ground-glass pulmonary nodules (χ²=5.80, P < 0.05) than conventional manual CT image interpretation. The detection rates for pulmonary nodules with < 1 cm (χ²=4.97, P < 0.05), 1 to < 2 cm (χ²=7.04, P < 0.01), and 2 to < 3 cm (χ²=4.91, P < 0.05) diameters were significantly higher with artificial intelligence-based CT image interpretation than with conventional manual CT image interpretation. The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy for differential diagnosis of benign and malignant pulmonary nodules were 98.08%, 91.53%, 95.33%, 96.43%, and 95.71% with artificial intelligence-based CT image interpretation and 91.34%, 77.97%, 87.96%, 32.62%, and 86.50% with conventional CT image interpretation. The sensitivity (χ²=4.70, P < 0.05), specificity (χ²=4.20, P < 0.05), negative predictive value (χ²=65.28, P < 0.01), and accuracy (χ²=8.52, P < 0.01) were significantly higher with artificial intelligence-based CT image interpretation than with conventional manual CT image interpretation. However, there was no significant difference in the positive predictive value (χ²=3.80, P > 0.05). Conclusion Compared with conventional manual CT image interpretation, artificial intelligence-assisted diagnostic system for CT image interpretation can significantly increase the detection rate of positive pulmonary nodules and improve the efficiency of differential diagnosis of benign and malignant pulmonary nodules, so it deserves widespread applications in physical examination and early screening for lung cancer.

Objective To compare artificial intelligence-assisted diagnostic system and conventional manual CT image interpretation for detection of positive pulmonary nodules and differential diagnosis of benign and malignant pulmonary nodules, and to provide a reference for the application of artificial intelligence in clinical screening for lung cancer. Methods Patients who underwent chest CT scans for pulmonary nodules from March 2019 to December 2023 were enrolled. The CT images were subjected to artificial intelligence-based and conventional manual CT image interpretation. The pathological examination results of pulmonary lesions served as a gold standard for comparison of artificial intelligence-based and conventional manual CT image interpretation in detection rate of positive pulmonary nodules and differential diagnosis of benign and malignant pulmonary nodules. Results A total of 327 positive pulmonary nodules were identified in 207 patients. The detection rate of positive pulmonary nodules was significantly higher with artificial intelligence-based CT image interpretation than with conventional manual CT image interpretation (95.72% vs. 86.85%; χ²=16.16, P < 0.01). Moreover, artificial intelligence-based CT image interpretation showed significantly higher detection rates for solid (χ²=7.71, P < 0.01) and ground-glass pulmonary nodules (χ²=5.80, P < 0.05) than conventional manual CT image interpretation. The detection rates for pulmonary nodules with < 1 cm (χ²=4.97, P < 0.05), 1 to < 2 cm (χ²=7.04, P < 0.01), and 2 to < 3 cm (χ²=4.91, P < 0.05) diameters were significantly higher with artificial intelligence-based CT image interpretation than with conventional manual CT image interpretation. The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy for differential diagnosis of benign and malignant pulmonary nodules were 98.08%, 91.53%, 95.33%, 96.43%, and 95.71% with artificial intelligence-based CT image interpretation and 91.34%, 77.97%, 87.96%, 32.62%, and 86.50% with conventional CT image interpretation. The sensitivity (χ²=4.70, P < 0.05), specificity (χ²=4.20, P < 0.05), negative predictive value (χ²=65.28, P < 0.01), and accuracy (χ²=8.52, P < 0.01) were significantly higher with artificial intelligence-based CT image interpretation than with conventional manual CT image interpretation. However, there was no significant difference in the positive predictive value (χ²=3.80, P > 0.05). Conclusion Compared with conventional manual CT image interpretation, artificial intelligence-assisted diagnostic system for CT image interpretation can significantly increase the detection rate of positive pulmonary nodules and improve the efficiency of differential diagnosis of benign and malignant pulmonary nodules, so it deserves widespread applications in physical examination and early screening for lung cancer.

Objective:To evaluate the feasibility of measurement and characteristics of intraocular lens (IOL) tilt using the swept-source optical coherence tomography (SS-OCT) biometer (IOLMaster 700) and to explore its potentially relevant parameters.Methods:A cross-sectional study was conducted.Two hundred and forty-two eyes (119 right eyes, 123 left eyes) of 185 patients after phacoemulsification and IOL implantation were included in Beijing Tongren Hospital from July to September 2018.The IOL position, angle κ, angle α, corneal curvature, anterior chamber depth (ACD), pupil diameter (PD), and axial length (AL) were obtained by IOLMaster 700, and the IOL tilt direction and magnitude were calculated.The within-subject standard deviation and intraclass correlation coefficient were used to evaluate the repeatability of three IOL tilt measurements.Binocular symmetry of IOL tilt and the correlation between IOL tilt and different influencing factors were evaluated by Pearson linear correlation analysis or Spearman rank correlation analysis.Influencing factors for IOL tilt were assessed by multiple linear regression analysis.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of Beijing Tongren Hospital, Capital Medical University (No.TRECKY2018-049). Patients were informed of the purpose and methods of this study and signed the written informed consent.Results:The repeatability of IOL tilt measurements was excellent with a within-subject standard deviation of 5.16° for IOL tilt direction and 0.13° for IOL tilt magnitude.IOL tilt was mirror symmetric in both eyes.The IOL tilt direction in right eyes ranged from -89.60° to 87.53° with a mean of (18.85±29.65)°, and the tilt magnitude ranged from 1.32° to 7.05° with a mean of (4.16±1.26)°.The IOL tilt direction in left eyes ranged from -84.30° to 89.44° with a mean of (21.17±32.38)°, and the tilt magnitude ranged from 0.58° to 7.40° with a mean of (3.80±1.31)°.There were moderate and weak positive correlations of IOL tilt direction and tilt magnitude between both eyes ( r=0.473, P<0.001; r=0.335, P=0.011). IOL tilt magnitude was weakly positively correlated with angle α and IOL diopter ( rs=0.272, P=0.003; r=0.285, P=0.002), and was weakly negatively correlated with ACD, PD and AL ( r=-0.303, P=0.001; r=-0.233, P=0.011; rs=-0.331, P<0.001). In backward stepwise regression analysis, the regression equation of IOL tilt magnitude, angle α, ACD, PD, AL and IOL diopter in multiple linear regression analysis was as follows: IOL tilt magnitude=10.503+ 1.456×angle α-0.532×ACD-0.196×AL ( R2=0.400; F=8.588, P<0.001). Conclusions:The SS-OCT biometer can be an effective method to assess IOL tilt.IOL tilt is mirror symmetric between the right eyes and left eyes.

OBJECTIVES: This study aimed to investigate the associations of obesity phenotypes with hypertension stages, phenotypes, and transitions among middle-aged and older Chinese. METHODS: Using the 2011-2015 waves of the China Health and Retirement Longitudinal Study, we conducted a cross-sectional analysis included 9,015 subjects and a longitudinal analysis included 4,961 subjects, with 4,872 having full data on the hypertension stage and 4,784 having full data on the hypertension phenotype. Based on body mass index and waist circumstance, subjects were categorized into 4 mutually exclusive obesity phenotypes: normal weight with no central obesity (NWNCO), abnormal weight with no central obesity (AWNCO), normal weight with central obesity (NWCO), and abnormal weight with central obesity (AWCO). Hypertension stages were classified into normotension, pre-hypertension, stage 1 hypertension, and stage 2 hypertension. Hypertension phenotypes were categorized as normotension, pre-hypertension, isolated systolic hypertension (ISH), isolated diastolic hypertension (IDH), and systolic-diastolic hypertension (SDH). The association between obesity phenotypes and hypertension was estimated by logistic regression. A comparison between different sexes was conducted by testing the interaction effect of sex. RESULTS: NWCO was associated with normal→stage 2 (odds ratio [OR], 1.95; 95% confidence interval [CI], 1.11 to 3.42), maintained stage 1 (OR, 1.62; 95% CI, 1.14 to 2.29), and normal→ISH (OR, 1.39; 95% CI, 1.05 to 1.85). AWCO was associated with normal→stage 1 (OR, 1.75; 95% CI, 1.40 to 2.19), maintained stage 1 (OR, 2.77; 95% CI, 2.06 to 3.72), maintained stage 2 (OR, 2.80; 95% CI, 1.50 to 5.25), normal→ISH (OR, 1.56; 95% CI, 1.20 to 2.02), and normal→SDH (OR, 2.54; 95% CI, 1.72 to 3.75). An interaction effect of sex existed in the association between obesity phenotypes and hypertension stages. CONCLUSIONS This study highlights the importance of various obesity phenotypes and sex differences in hypertension progression. Tailored interventions for different obesity phenotypes may be warranted in hypertension management, taking into account sex-specific differences to improve outcomes.

Objective:To investigate the clinicopathological characteristics, gene mutation profile, and prognostic factors of diffuse large B-cell lymphoma (DLBCL) in female genital tract.Methods:A retrospective analysis was performed on the clinicopathological data of 30 patients with female genital tract DLBCL who were admitted to Rui Jin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine from October 2003 to October 2021. Targeted sequencing was used to detect 55 lymphoma-related genes, and the gene mutation status of patients was evaluated. Kaplan-Meier method was used for survival analysis, and prognostic factors were analyzed by Cox proportional hazards model.Results:The median age of 30 female genital tract DLBCL patients at diagnosis was 58 years old (23-77 years old). The initial symptoms mainly included abdominal pain, distension, and masses (8 cases, 32%). Tumors most commonly located in the adnexal region (including ovaries and fallopian tubes) (13 cases, 45%), of which 9 cases were unilateral. Twenty-one cases (70%) had multiple extra-nodal involvements, 22 cases (73%) had Ann Arbor stage Ⅲ-Ⅳ, 8 cases (27%) had Eastern Cooperative Oncology Group (ECOG) score of ≥2, and 22 cases (73%) had elevated lactate dehydrogenase (LDH), 21 cases (70%) had International Prognostic Index (IPI) score of 3-5. Within 30 patients, 11 patients (37%) received surgery, and all patients received R-CHOP regimen-based chemotherapy. All 30 cases were evaluated for efficacy, the complete remission rate was 83% (25/30), the 5-year progression-free survival (PFS) rate was 69.7%, and the 5-year overall survival (OS) rate was 79.6%. Univariate analysis showed that ECOG score ≥2 was associated with worse OS ( P = 0.048). Among the 30 patients, 7 patients (23%) were primary and 23 patients (77%) were secondary. The proportions of patients with Ann Arbor stage Ⅲ-Ⅳ, IPI score 3-5 and elevated LDH in secondary patients were higher than those in primary patients (all P < 0.001), but there were no significant differences in PFS and OS between the two ( P values were 0.261 and 0.671). The targeted sequencing results of 16 patients showed that the mutation rates of PIM1, MYD88, KMT2D, TP53, CARD11, CCND3 and GNA13 were all > 20%, and TP53 mutation was associated with poorer PFS and OS ( P values 0.012 and 0.002). Conclusions:Female genital tract DLBCL is a rare invasive extranodal DLBCL with similar survival prognosis in primary and secondary patients. High-frequency mutations of PIM1, MYD88 and TP53 genes may provide new directions for treatment.

Objective:To analyze the ultrasonographic features of adenoma of the nonpigmented ciliary epithelium (ANPCE).Methods:A retrospective series of case studies. From January 2014 to October 2021, 31 patients (31 eyes) with ANPCE (ANPCE group) were diagnosed in the eye center of Beijing Tongren Eye Center of Beijing Tongren Hospital, Capital Medical University, and 17 patients (17 eyes) with ciliary body melanoma (control group) diagnosed at the same time were selected as the control group. There was no significant difference in age ( t=-0.564) and sex composition ratio ( χ 2=0.182) between the two groups ( P=0.576, 0.670). All patients underwent ultrasound biomicroscopy to obtain the measurement parameters: tumor height, maximum basal diameter, maximum diameter, ratio of maximum diameter to basal diameter and ratio of maximum diameter to height; tumor location, shape, internal echogenicity intensity, echogenicity uniformity, degree of sound attenuation, invasion of iris, anterior displacement of the iris, lens subluxation were observed. The measurement parameters and observation indexes of the two groups were compared by independent sample t-test and χ 2 test. Receiver operating characteristic (ROC) curve was drawn, area under the ROC curve (AUC) was determined, and parameter indicators with differential diagnosis value were screened. Results:The maximum diameter, height, maximum basal diameter, ratio of the maximum diameter to the maximum basal diameter, and the ratio of the maximum diameter to the height of the tumors in the ANPCE group and the control group were 5.64±0.98 mm, 4.24±0.59 mm, 3.66±0.71 mm, 1.58±0.34, 1.34±0.19 and 7.82±2.03 mm, 4.47±2.44 mm, 7.02±1.96 mm, 1.13±0.16, 2.09±1.06. The maximum diameter, the maximum basal diameter, and the ratio of the maximum diameter to the height of the tumor in the ANPCE group were all smaller than those of the control group, and the ratio of the maximum diameter to the maximum basal diameter was greater than that of the control group, and the differences were statistically significant ( t=-4.159,-6.808, -2.924, 6.257; P<0.05). The tumors in the ANPCE group were mainly spherical (87.1%, 27/31), with no significant acoustic attenuation (77.4%, 24/31), less invading the root iris (77.4%, 24/31), and the tumors were mostly located in the ciliary body coronal (74.2%, 23/31); tumors in the control group were mainly hemispherical (47.1%, 8/17) or spherical (47.1%, 8/17), with significant sound attenuation (76.5%, 13/17), most of the tumors invaded the iris (70.6%, 12/17), and the tumors were mostly located from the pars plana to the coronal (76.5%, 13/17). There were statistically significant differences in the position, shape, sound attenuation degree, and whether it invaded the iris between the two groups of eyes ( χ 2=15.132, 19.767, 13.118, 10.581; P<0.05). The results of ROC curve analysis showed that the ratio of the largest diameter to the largest base diameter, the degree of sound attenuation and the AUC of whether the iris was violated were higher, which were 0.881, 0.769, and 0.740, respectively. Conclusions:Ultrasound biomicroscopy is helpful in the diagnosis and differential diagnosis of ANPCE and ciliary body melanoma. The ratio of maximum diameter to maximum basal diameter, the degree of sound attenuation and whether it invades the root iris are important parameters to distinguish the two tumors.

Objective:To analyze the perfusion characteristics of choroidal metastasis using contrast-enhanced ultrasound, and compare with choroidal hemangioma.Methods:This was a retrospective study.From January 2016 to February 2018 in Beijing Tongren Hospital, a total of 21 eyes from 21 patients who were clinically diagnosed as choroidal metastasis were included as the choroidal metastasis group and 46 eyes from 46 patients who were diagnosed as choroidal hemangioma during the same period were included as the choroidal hemangioma group. All patients underwent contrast-enhanced ultrasound examination, and Sonoliver was used to obtain the data on quantitative parameters of the tumor and the adjacent normal orbital tissues, including maximum of intensity (IMAX), rise time (RT), time to peak (TTP), and mean transit time (mTT). The quantitative parameters between choroidal metastasis and normal orbital tissues were compared. And the quantitative parameters between choroidal metastasis and choroidal hemangioma were compared. The receiver operating characteristic (ROC) curve analysis was performed to evaluate the diagnostic performance.Results:The IMAX of choroidal metastasis was significantly higher than that of normal orbital tissues, while RT, TTP and mTT were significantly shorter than these of normal orbital tissues (all P<0.01). The IMAX of choroidal metastasis was lower than that of choroidal hemangioma, and RT, TTP and mTT were shorter than choroidal hemangioma (all P<0.01). The ROC curve analysis showed that area under curves of the IMAX, RT, TTP and mTT were 0.775 (95% CI=0.666-0.884), 0.970 (95% CI=0.896-0.996), 0.729 (95% CI=0.607-0.831) and 0.992 (95% CI=0.931-1.000) respectively. The sensitivities were 71.7%, 95.7%, 76.1% and 95.7%, and the specificities were 85.7%, 90.5%, 66.7% and 95.2%, respectively. Conclusions:Contrast-enhanced ultrasound can reflect the differences in perfusion characteristics between choroidal metastasis and choroidal hemangioma. RT and mTT are useful parameters in differential diagnosis between the two types of tumors.