As a traditional Chinese medicine (TCM), borneol has shown superior ability for anti-inflammatory and analgesic activities when coupled with other active ingredients from ancient times. Furthermore, borneol is believed to improve blood concentration and bioavailability of drugs. Thus, it has been paired with various TCM formulas since ancient time. The physiological barriers in human can cause significant limitations in drug efficiency as the drug is primarily restricted from entering into blood and brain. Borneol has been proven to enhance the permeability of biological barriers such as the blood-brain, transdermal, corneal, and intestinal barriers. Moreover, growing interest has been shown in the drug delivery system design for trans-barrier transport involving borneol. Nano-drug delivery system with increased surface area and improved active sites, has been applied to increase the bioactivity of water insoluble drugs. Nano-drug delivery system has been used to enhance drug efficacy by reducing the time of action as compared to conventional administration approach of TCM formulas. Given its ability to enhance cross-barrier permeation and drug efficacy, borneol has been integrated into TCM formulas of drug delivery system for precise and prolonged targeting at tumor sites. However, the design and preparation of a drug delivery system consisting of borneol still face great challenges. Current research fails to unravel the difference in mechanism of action between nano-drug delivery systems comprised of borneol and conventional drug systems coupled with borneol. Enhanced penetration of borneol in drug delivery system is rarely verified compared to conventional administration with identical drug formulation consisting of borneol regarding dosage and medical indications. This study outlines the current state of research on the properties, formulation and pharmacological effects of borneol, allowing cross-comparison of borneol coupled with single compound and classical TCM formulas for various medical indications. This study aims to provide insights into the design of borneol-based enhanced cross-barrier delivery drug formulation, and the potential development of nano-drug system for TCM formulas with borneol for enhanced bioavailability.

Objective To investigate the perioperative outcomes and postoperative pregnancy outcomes of patients with intrauterine adhesions(IUA)treated by see-and-treat hysteroscopy and traditional hysteroscopy in transcervical resection of adhesions(TCRA).Methods A retrospective cohort study was performed on 485 patients with moderate-to-severe IUA who met the inclusion criteria and admitted in our hospital from January 2019 to December 2021.According to surgical approaches,the patients were assigned into a see-and-treat mode group and a traditional mode group.After clinical diagnosis(ultrasound and symptoms)of IUA,the patients from the former group received direct hysteroscopic adhesion separation surgery,and those of the latter group were diagnosed by outpatient hysteroscopy first and then hysteroscopic adhesion separation surgery.The perioperative indicators,postoperative three-dimensional transvaginal ultrasound(3D-TVUS)examination related characteristics,postoperative menstrual recovery,postoperative pregnancy outcomes,obstetric related complications,and neonatal outcomes were collected and compared between the 2 groups.Results Among the enrolled 485 patients,there were 277 in the see-and-treat group and 208 in the traditional group.The success rate of surgical treatment was 89.89%in the see-and-treat group and 92.79%in the traditional group,but no statistical difference was seen between them(Chi-square=1.234,P=0.267).3D-TVUS examination displayed that the see-and-treat mode group obtained better improvement of endometrial morphology,uterine morphology and menstruation after operation than the traditional group(P<0.001).The postoperative pregnancy rate was slightly higher in the see-and-treat group than the traditional mode group(58.84%vs 58.17%,P=0.882).However,the see-and-treat mode showed obvious advantage in the postoperative natural pregnancy rate,with a rate of 90.80%,obviously higher than that in the traditional mode group(81.82%,P=0.026).The live birth rate was 70.55%in the see-and-treat mode group,excluding 1 case with ongoing pregnancy in the second trimester and 1 case with ongoing pregnancy in the third trimester,and the rate was 74.38%in the traditional group,excluding 3 cases with ongoing pregnancy in the third trimester,but there was no statistical difference between the 2 groups(P=0.303).In terms of obstetric-related complications,there were 0 cases of blood transfusion during delivery hospitalization in the see-and-treat group,while there were 7 cases in the traditional group(P=0.003).In neonatal outcomes,the rate of transfer to the pediatric department was 10.43%in the see-and-treat mode group and 22.22%in the traditional mode group(P=0.021).For health economics,the see-and-treat hysteroscopy group demonstrated a significant advantage over the traditional hysteroscopy group(P<0.001).There was no significant difference in pain scores between the 2 groups.Conclusion The see-and-treat approach is a safe,feasible,and highly efficient strategy for integrating the diagnosis and treatment of IUA,enabling maximal minimization of surgical trauma while optimizing time and cost efficiency.

Objective To observe the value of quantitative parameters of synthetic MRI(syMRI)and multiplexed sensitivity encoding diffusion weighted imaging(MUSE-DWI)for predicting pathological characteristics of endometrial cancer(EC).Methods Totally 125 patients with single EC were retrospectively collected.Quantitative parameters of EC,including T1,T2,proton density(PD)and apparent diffusion coefficient(ADC)values were measured based on preoperative syMRI and MUSE-DWI.Univariate analysis and multivariate logistic regression were performed to explore quantitative parameters of EC in order to screen independent predictors of EC with different pathologic characteristics for establishing combined models.Receiver operating characteristic curves were drawn,the area under the curves(AUC)were calculated to evaluate the predictive efficacy of models.Results Among 125 cases,type Ⅰ(estrogen-dependent type)and type Ⅱ(non-estrogen-dependent type)EC were found in 109 and 16 cases,respectively,including 94 cases of medium-low grade(31 of grade G1+63 of grade G2)and 31 cases of high grade(grade G3)EC,93 low-risk type(grade G1-2 type Ⅰ EC)and 32 high-risk type(grade G3 type Ⅰ EC+type Ⅱ EC),with muscular invasion＜1/2 in 84 cases and≥1/2 in 41 cases.Meanwhile,vascular infiltration was found in 41 cases.Lymph node invasion was detected in 18 cases but not in 105 cases,which remained unclear in 2 cases.T2 value of type Ⅰ EC was higher than that of type Ⅱ EC(P＜0.05).T2 and ADC values of high grade or high-risk type EC were lower than those of medium-low grade or low-risk type EC(all P＜0.05).T1,PD and ADC values of EC with muscular invasion≥1/2 were all lower than of those with muscular invasion＜1/2(all P＜0.05).No significant difference of other quantitative MRI parameters was observed among EC with different pathological features(all P＞0.05).ADC value was independent predictor of EC grade and risk type,PD and ADC values were both independent predictors of EC muscular invasion(all P＜0.05).The AUC of PD+ADC model for predicting muscular invasion depth of EC was 0.739,which was not significantly different with that of single PD and ADC models(0.692 and 0.707)(both P＞0.05).Conclusion Quantitative parameters of syMRI and MUSE-DWI could be used in clinical prediction of pathological characteristics of EC.

Objective To observe the value of quantitative parameters of synthetic MRI(syMRI)and multiplexed sensitivity encoding diffusion weighted imaging(MUSE-DWI)for predicting pathological characteristics of endometrial cancer(EC).Methods Totally 125 patients with single EC were retrospectively collected.Quantitative parameters of EC,including T1,T2,proton density(PD)and apparent diffusion coefficient(ADC)values were measured based on preoperative syMRI and MUSE-DWI.Univariate analysis and multivariate logistic regression were performed to explore quantitative parameters of EC in order to screen independent predictors of EC with different pathologic characteristics for establishing combined models.Receiver operating characteristic curves were drawn,the area under the curves(AUC)were calculated to evaluate the predictive efficacy of models.Results Among 125 cases,type Ⅰ(estrogen-dependent type)and type Ⅱ(non-estrogen-dependent type)EC were found in 109 and 16 cases,respectively,including 94 cases of medium-low grade(31 of grade G1+63 of grade G2)and 31 cases of high grade(grade G3)EC,93 low-risk type(grade G1-2 type Ⅰ EC)and 32 high-risk type(grade G3 type Ⅰ EC+type Ⅱ EC),with muscular invasion＜1/2 in 84 cases and≥1/2 in 41 cases.Meanwhile,vascular infiltration was found in 41 cases.Lymph node invasion was detected in 18 cases but not in 105 cases,which remained unclear in 2 cases.T2 value of type Ⅰ EC was higher than that of type Ⅱ EC(P＜0.05).T2 and ADC values of high grade or high-risk type EC were lower than those of medium-low grade or low-risk type EC(all P＜0.05).T1,PD and ADC values of EC with muscular invasion≥1/2 were all lower than of those with muscular invasion＜1/2(all P＜0.05).No significant difference of other quantitative MRI parameters was observed among EC with different pathological features(all P＞0.05).ADC value was independent predictor of EC grade and risk type,PD and ADC values were both independent predictors of EC muscular invasion(all P＜0.05).The AUC of PD+ADC model for predicting muscular invasion depth of EC was 0.739,which was not significantly different with that of single PD and ADC models(0.692 and 0.707)(both P＞0.05).Conclusion Quantitative parameters of syMRI and MUSE-DWI could be used in clinical prediction of pathological characteristics of EC.

Objective To assess the value of magnetic resonance imaging compilation(MAGiC)sequence in predicting lympho-vascular space invasion(LVSI)in early cervical cancer.Methods The data of 48 patients with cervical cancer confirmed by pathology were collected retrospectively,and classified into LVSI-positive group(n=29)and LVSI-negative group(n=19)according to postop-erative pathological results.MAGiC sequence images of patients were obtained before injecting contrast agents,then the region of interest(ROI)was delineated along the largest dimension edge of the lesion,and T1,T2 and proton density(PD)values were automatically generated by the software.Predictors were screened by univariate analysis and receiver operating characteristic(ROC)curves were drawn to assess their diagnostic efficacy for predicting LVSI in cervical cancer.Results Significant differences were found in T1 and PD values between LVSI-positive and LVSI-negative groups(P=0.003,P=0.017).There were no significant differences in T2 values between the two groups(P=0.414).The area under the curve(AUC)for T1 and PD values to predict LVSI status were 0.73 and 0.721,respectively.Conclusion LVSI-positive group of cervical cancer has lower T1 and PD values than LVSI-negative group based on MAGiC sequence.The MAGiC sequence has a certain application value for predicting LVSI status in early cervical cancer.

Objective To observe the value of combined synthetic MRI and multiplexed sensitivity encoding diffusion weighted imaging(MUSE-DWI)for differentiating benign and malignant endometrial lesions.Methods Data of 112 patients with benign or malignant endometrial lesion confirmed by pathology were retrospectively analyzed.According to pathologic diagnosis,the patients were divided into malignant group(n=72)and benign group(n=40).Synthetic MRI and MUSE-DWI quantitative parameters,including T1,T2,proton density(PD)and apparent diffusion coefficient(ADC)of all lesions were acquired.The clinical data as well as ADC,T1,T2 and PD values of lesions were compared between groups,and those being significantly different between groups were included in univariate and multivariate logistic regression.Then the univariate and combined models were established for differentiating benign and malignant endometrial lesions.The receiver operating characteristic curves were drawn,and areas under the curves(AUC)were calculated to evaluated the diagnostic efficacy of the models,which were compared with DeLong test.Results Patients'age in malignant group were higher than that in benign group(P＜0.05).The length of the maximum diameter was larger,ADC,T2 and PD values were lower in malignant lesions than those in benign ones(all P＜0.05),while no significant difference of T1 value was found between groups(P=0.074).The AUC of ADC univariate model was 0.966,and there was no significant difference in AUC(0.970)between the combined ADC+T2+PD model(adjusted P＞0.05),but both higher than AUC of T2 univariate model(0.618),PD univariate model(0.664)and the combined T2+PD model(0.668)(all adjusted P＜0.05).Conclusion ADC univariate model and combined model with other parameters of combined synthetic MRI and MUSE-DWI could be used to effectively differentiate benign and malignant endometrial lesions.

Background::Long non-coding RNAs (lncRNAs) plays an important role in the progression of gastric cancer (GC). Their involvement ranges from genetic regulation to cancer progression. However, the mechanistic roles of RP11-789C1.1 in GC are not fully understood.Methods::We identified the expression of lncRNA RP11-789C1.1 in GC tissues and cell lines by real-time fluorescent quantitative polymerase chain reaction. A series of functional experiments revealed the effect of RP11-789C1.1 on the proliferation of GC cells. In vivo experiments verified the effect of RP11-789C1.1 on the biological behavior of a GC cell line. RNA pull-down unveiled RP11-789C1.1 interacting proteins. Western blot analysis indicated the downstream pathway changes of RP11-789C1.1, and an oxaliplatin dosing experiment disclosed the influence of RP11-789C1.1 on the drug sensitivity of oxaliplatin. Results::Our results demonstrated that RP11-789C1.1 inhibited the proliferation of GC cells and promoted the apoptosis of GC cells. Mechanistically, RP11-789C1.1 inhibited checkpoint kinase 1 (CHK1) phosphorylation by binding ataxiatelangiectasia mutated and Rad3 related (ATR), a serine/threonine-specific protein kinase, promoted GC apoptosis, and mediated oxaliplatin sensitivity.Conclusion::In general, we discovered a tumor suppressor molecule RP11-789C1.1 and confirmed its mechanism of action, providing a theoretical basis for targeted GC therapy.

Objective To observe the value of MRI for differential diagnosis of ovarian granulosa cell tumor(OGCT)and ovarian thecoma-fibroma(OTF).Methods Data of 37 females with OGCT(OGCT group)and 74 with OTF(OTF group)were retrospectively analyzed.MRI parameters were compared between groups.Multiple logistic regression analysis was performed,and the efficacy of each parameter alone and their combination for distinguishing OGCT and OTF were observed.Results Significant differences of cystic-solid classification,degree of cystic changes,the maximum diameter of cyst area of lesions,T2WI signal,enhancement degree and apparent diffusion coefficient(ADC)of the solid part of lesions,presence of honeycomb sign/cheese sign,presence of tumor blood vessels and bleeding were found between groups(all P＜0.05).Degree of cystic changes,ADC and presence of honeycomb sign/cheese sign were impact factors of MRI for distinguishing OGCT and OTF.The area under the curve(AUC)of the above three for distinguishing OGCT and OTF was 0.834,0.868 and 0.744,respectively,and of the combination was 0.934,greater than any alone(all P＜0.05).Conclusion MRI features such as degree of cystic changes,ADC and presence of honeycomb sign/cheese sign were helpful for distinguishing OGCT and OTF.

Objective To investigate the relationship between APCV sign on SWI and END in pa-tients with acute anterior circulation cerebral infarction.Methods A retrospective study was con-ducted on 146 patients with acute anterior circulation cerebral infarction who were consecutively admitted in our hospital from May 2023 to March 2024.According to the results of SWI,they were divided into a negative APCV sign group(93 cases)and a positive APCV sign group(53 cases),and based on the progression of END or not within 3 d after admission,they were also assigned into a non-END group(97 cases)and an END group(49 cases).The general clinical data were compared between the negative and positive APCV sign groups and between the non-END and END groups.Multivariate logistic regression analysis was used to identify the risk factors for END and analyze the relationship between the occurrence of END and APCV sign in cerebral infarction.Results The positive APCV sign group had significantly larger proportions of hypertension and diabetes,higher glycosylated hemoglobin level and NIHSS score at admission,and elevated infarct volume than the negative APCV sign group(P＜0.01).Advanced age,higher ratios of hyperten-sion and diabetes,elevated NIHSS score,larger infarct volume and more APCV sign were ob-served in the END group than the non-END group(P＜0.05,P＜0.01).Multivariate logistic re-gression analysis showed that APCV sign was an independent risk factor for the occurrence of END in acute anterior circulation cerebral infarction after adjusting the variables,including age,hypertension,diabetes,N1HSS score,and infarct volume(OR=6.629,95％CI:1.799-24.428).Conclusion APCV sign is an independent risk factor for the occurrence of END in cerebral infarc-tion,and its appearance on the SWI sequence is an early marker in predicting the prognosis of cer-ebral infarction.

Objective To investigate the relationship between APCV sign on SWI and END in pa-tients with acute anterior circulation cerebral infarction.Methods A retrospective study was con-ducted on 146 patients with acute anterior circulation cerebral infarction who were consecutively admitted in our hospital from May 2023 to March 2024.According to the results of SWI,they were divided into a negative APCV sign group(93 cases)and a positive APCV sign group(53 cases),and based on the progression of END or not within 3 d after admission,they were also assigned into a non-END group(97 cases)and an END group(49 cases).The general clinical data were compared between the negative and positive APCV sign groups and between the non-END and END groups.Multivariate logistic regression analysis was used to identify the risk factors for END and analyze the relationship between the occurrence of END and APCV sign in cerebral infarction.Results The positive APCV sign group had significantly larger proportions of hypertension and diabetes,higher glycosylated hemoglobin level and NIHSS score at admission,and elevated infarct volume than the negative APCV sign group(P＜0.01).Advanced age,higher ratios of hyperten-sion and diabetes,elevated NIHSS score,larger infarct volume and more APCV sign were ob-served in the END group than the non-END group(P＜0.05,P＜0.01).Multivariate logistic re-gression analysis showed that APCV sign was an independent risk factor for the occurrence of END in acute anterior circulation cerebral infarction after adjusting the variables,including age,hypertension,diabetes,N1HSS score,and infarct volume(OR=6.629,95％CI:1.799-24.428).Conclusion APCV sign is an independent risk factor for the occurrence of END in cerebral infarc-tion,and its appearance on the SWI sequence is an early marker in predicting the prognosis of cer-ebral infarction.