ObjectiveTo observe the effects of Dihuang Yinzi （DY） on motor dysfunction in rats with advanced Parkinson's disease （PD） and to investigate the mechanisms by which DY improves advanced PD symptoms through the "gut microbiota-short-chain fatty acids （SCFAs）-inflammation-neuroprotection pathway". MethodsAn advanced PD rat model was induced by rotenone. Rats were divided into a normal group， model group， positive drug group （levodopa， 50 mg·kg^-1）， and DY low-， medium-， and high-dose groups （5.2， 10.4， 20.8 g·kg^-1）. After 7 days of administration， motor function was evaluated using the open-field， pole-climbing， and inclined plate tests. Hematoxylin-eosin （HE） staining was used to observe pathological changes in the substantia nigra and colon， and immunohistochemistry was performed to detect α-Synuclein （α-Syn） and tyrosine hydroxylase （TH） expression in the substantia nigra. Enzyme-linked immunosorbent assay （ELISA） was used to measure levels of dopamine （DA）， 5-hydroxytryptamine （5-HT）， 3，4-dihydroxyphenylacetic acid （DOPAC）， Levodopa， homovanillic acid （HVA）， tumor necrosis factor-α （TNF-α）， interleukin-6 （IL-6）， and interleukin-1β （IL-1β）. Western blot analysis was used to detect the expression of zonula occludens-1 （ZO-1） and occludin. Gut microbiota diversity was analyzed by 16S rRNA sequencing， and gas chromatography （GC） was used to determine the content of SCFAs in colonic contents. ResultsCompared with the normal group， the model group showed significantly decreased movement speed and distance in the open-field test， prolonged pole-climbing time， and reduced retention angle on the inclined plate （P<0.01）， accompanied by increased α-Syn expression （P<0.01） and decreased TH expression （P<0.01） in the brain. Compared with the model group， all DY dose groups improved motor dysfunction in advanced PD rats to varying degrees （P<0.05， P<0.01） and alleviated pathological damage in the brain and colon. High-dose DY significantly reduced α-Syn aggregation in the substantia nigra （P<0.01） and increased TH expression （P<0.01）. ELISA and Western blot results showed that， compared with the normal group， the model group exhibited decreased levels of DA， 5-HT， DOPAC， Levodopa， and HVA in the striatum （P<0.01）， increased levels of TNF-α， IL-6， and IL-1β in the colon and striatum （P<0.01）， and significantly reduced expression of ZO-1 （P<0.05） and occludin in the colon （P<0.01）. Compared with the model group， all DY dose groups increased the levels of DA， 5-HT， DOPAC， Levodopa， and HVA in the striatum to varying degrees （P<0.05， P<0.01）. In the high-dose DY group， the levels of TNF-α， IL-6， and IL-1β in the colon and striatum were reduced （P<0.01）， while the expression of ZO-1 （P<0.05） and occludin in the intestine was increased. The 16S rRNA sequencing results indicated that the relative abundances of Actinobacteriota， Enterobacteriaceae， and Erysipelotrichaceae were increased in the model group， whereas the relative abundances of Bacteroidota， class Clostridia， Lachnospiraceae， and Akkermansia muciniphila were decreased. These changes were effectively reversed after high-dose DY intervention. GC analysis showed that the content of SCFAs in the colonic contents of rats in the model group was decreased （P<0.05， P<0.01）， while after high-dose DY intervention， the levels of acetate， propionate， isobutyrate， and butyrate were significantly increased （P<0.05， P<0.01）. ConclusionDY may exert therapeutic effects in advanced PD by regulating the gut microbiota-SCFAs-inflammation pathway.

Objective To observe the value of T1 mapping combining diffusion weighted imaging(DWI)for noninvasive preoperative predicting tumor-infiltrating lymphocyte(TIL)level in invasive breast cancer.Methods Totally 143 patients with invasive breast cancer were retrospectively collected and divided into high group(TIL≥10％,n=73)and low group(TIL＜10％,n=70)according to TIL level by postoperation pathology.Clinicopathological information were collected,MRI features of breast cancer lesions were documented,mean T1 values(T1mean)and mean ADC values(ADCmean)were measured,and then were compared between groups.Multivariate logistic regression analysis was used to identify independent predictive factors of TIL levels,and a nomogram was constructed based on regression model.The receiver operating characteristic(ROC)curve and the area under the curve(AUC)were used to evaluate the predictive value for TIL levels.Results Compared with low group,high group had higher proportion of human epidermal growth factor receptor 2(HER2)positivity(P＜0.05),and showed more circular/oval shapes and more smooth margins but less peritumoral edema(all P＜0.05).Significant differences of lesions enhancement pattern was found between groups(P＜0.05).T1mean and ADCmean were both higher in high group than those in low group(both P＜0.05).Lesions enhancement pattern,T1mean and ADCmean were all independent predictors of TIL levels in breast cancer.The AUC of nomogram combining the above 3 factors for predicting TIL level was 0.848,significantly higher than that of lesions enhancement pattern(AUC=0.569,Z=5.384,P＜0.05)and T1mean(AUC=0.662,Z=3.876,P＜0.05),but not statistically different with that of ADCmean(AUC=0.814,Z=1.578,P=0.115).Decision curve analysis showed that this nomogram had good clinical application value.Conclusion Combining T1 mapping and DWI could effectively predict level of TIL level in breast cancer before surgery.

Objective:To explore the value of amide proton transfer weighted imaging (APTWI) combined with human epidermal growth factor receptor 2 (HER2) expression in predicting pathological complete response (pCR) after neoadjuvant chemotherapy (NAC) in breast cancer.Methods:The study was a cross-sectional study. Clinicopathological [estrogen receptor (ER), progesterone receptor (PR), HER2, Ki-67 status, and molecular subtypes] and imaging data were retrospectively analyzed in 100 female patients who had invasive ductal carcinoma of the breast confirmed pathologically by preoperative puncture in the Henan Cancer Hospital from May 2023 to May 2024. All patients underwent MRI, including enhanced MRI, APTWI, and diffusion-weighted imaging (DWI) before NAC. The reference enhanced MRI images were segmented into lesions using the threshold extraction method, and the three-dimensional region of interest within the tumor was automatically outlined by the software and replicated in the amide proton transfer map generated by APTWI and the apparent diffuse coefficient (ADC) map generated by DWI. The magnetization transfer ratio asymmetry (MTRasym) value and the ADC value were measured, respectively. Tumor response to NAC was assessed using the Miller-Payne grading system, where Grade 5 indicated pCR and Grades 1-4 were classified as non-pCR. Independent sample t-tests and χ2 tests were used to compare clinical pathological and imaging parameters between pCR and non-pCR patients. Statistically significant variables were included in multivariate logistic regression to identify independent predictors of pCR. The diagnostic performance of individual and combined indicators for pCR was evaluated using receiver operating characteristic curves and the area under the curve (AUC). DeLong′s test was used to compare AUCs. Results:There were 39 pCR and 61 non-pCR patients. Significant differences were observed between the pCR and non-pCR patients in molecular subtypes, ER, PR, HER2, and Ki-67 statuses ( P<0.05). Pre-treatment MTRasym values were significantly higher in the pCR patients compared to the non-pCR patients ( P=0.005), whereas ADC values showed no statistical difference ( P=0.372). Multivariate logistic regression analysis showed HER2 positivity ( OR=5.87, 95% CI 1.99-17.30, P=0.001) and MTRasym values>2.61% (OR=4.39, 95% CI 1.37-14.08, P=0.013) was independent predictors of pCR after NAC. HER2 positivity combined with MTRasym value>2.61% predicted pCR after NAC in breast cancer with AUC of 0.819, which was superior to HER2 positivity and MTRasym value alone in predicting efficacy ( Z=3.91, P<0.001; Z=2.63, P=0.009). Conclusions:The MTRasym value of pre-treatment APTWI is valuable in predicting pCR after NAC in breast cancer. APTWI combined with HER2 expression status can further enhance the predictive efficacy.

ObjectiveTo observe the intervention effect of Fufang Kangjiaolv capsules on anxiety-like behaviors in the rat model of chronic restraint stress （CRS） and explore the mechanism underlying the anti-anxiety effect via the microbiota-gut-brain axis. MethodsRats were assigned into blank， model， positive drug （diazepam， 1 mg·kg^-1）， and low-， medium-， and high-dose （0.75， 1.5， 3 g·kg^-1， respectively） Fufang Kangjiaolv capsules groups. After 14 days of administration， the elevated plus maze test， open field test， light and dark box test， and marble burying test were performed. Hematoxylin-eosin staining was employed to observe the pathological changes in the hippocampus and colon of rats， and Nissl staining was conducted to observe the damage of hippocampal neurons. The gut microbiota was analyzed by 16S rRNA gene sequencing. Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） was employed to determine the mRNA levels of zonula occludens-1 （ZO-1） and occludin in the colon of rats. The levels of tumor necrosis factor-α （TNF-α）， interleukin-6 （IL-6）， and interleukin-1β （IL-1β） in the colon， serum， and hippocampus were determined by enzyme-linked immunosorbent assay. Western blot was employed to determine the protein levels of ZO-1， occludin， nuclear factor-κB p65 （NF-κB p65） in the colon tissue and NF-κB p65 and brain-derived neurotrophic factor （BDNF） in the hippocampal tissue. ResultsCompared with the blank group， the model group showed reductions in the time and frequency ratio of rats entering the elevated plus maze， the time and frequency of rats entering the central area of the open field， the time of entering the open box， the times of passing through the light and dark box， and the number of unburied beads （P<0.05， P<0.01）. Compared with the model group， Fufang Kangjiaolv capsules ameliorated the anxiety of the model rats to varying degrees， and the high-dose group had the best effect， with increases in the proportions of time and frequency of rats entering the open arm in the elevated plus maze （P<0.05）， the number of rats entering the central area in the open field （P<0.05）， the time of entering the open box， the times of passing through the light and dark boxes， and the number of unburied beads （P<0.01）. Moreover， the high-dose group showed alleviated pathological damage of hippocampal neurons and colon. The results of 16S rRNA gene sequencing showed that the model group had increased relative abundance of Firmicutes， Deferribacterota， Romboutsia， and Phascolarctobacterium， while it had decreased relative abundance of Bavcteroidota and Lactobacillus. The drug administration groups showed increased relative abundance of Bavcteroidota， Bacteroides， norank f norank o Clostridia UCG-014， and Blautia and decreased relative abundance of Firmicutes and Deferribacterota. Compared with the blank group， the model group showed down-regulated protein and mRNA levels of ZO-1 and occludin in the colon （P<0.01）， elevated levels of TNF-α， IL-6， and IL-β in the colon， serum， and hippocampus （P<0.01）， up-regulated protein level of NF-κB p65 in the colon and hippocampus （P<0.01）， and down-regulated protein level of BDNF in the hippocampus （P<0.05）. Compared with the model group， high-dose Fufang Kangjiaolv capsules up-regulated the mRNA levels of ZO-1 and occludin in the colon （P<0.01）， lowered the levels of TNF-α， IL-6， and IL-β in the colon， serum， and hippocampus （P<0.01）， up-regulated the protein levels of ZO-1 （P<0.01） and occludin （P<0.05） in the colon， down-regulated the protein level of NF-κB p65 in the colon and hippocampus （P<0.05）， and up-regulated the protein level of BDNF in the hippocampus. ConclusionFufang Kangjiaolv capsules can reduce the anxiety-like behaviors in the rat model of CRS by regulating the gut microbiota disturbance， up-regulating the expression of tight junction proteins in the colon， repairing intestinal mucosal mechanical barrier， and down-regulating NF-κB/BDNF signaling pathway， thereby reducing peripheral and central inflammation. This study proves the hypothesis that Fufang Kangjiaolv capsules play an anti-anxiety role via the microbiota-gut-brain axis， providing a new idea for further research.

Objective To observe the value of T1 mapping combining diffusion weighted imaging(DWI)for noninvasive preoperative predicting tumor-infiltrating lymphocyte(TIL)level in invasive breast cancer.Methods Totally 143 patients with invasive breast cancer were retrospectively collected and divided into high group(TIL≥10％,n=73)and low group(TIL＜10％,n=70)according to TIL level by postoperation pathology.Clinicopathological information were collected,MRI features of breast cancer lesions were documented,mean T1 values(T1mean)and mean ADC values(ADCmean)were measured,and then were compared between groups.Multivariate logistic regression analysis was used to identify independent predictive factors of TIL levels,and a nomogram was constructed based on regression model.The receiver operating characteristic(ROC)curve and the area under the curve(AUC)were used to evaluate the predictive value for TIL levels.Results Compared with low group,high group had higher proportion of human epidermal growth factor receptor 2(HER2)positivity(P＜0.05),and showed more circular/oval shapes and more smooth margins but less peritumoral edema(all P＜0.05).Significant differences of lesions enhancement pattern was found between groups(P＜0.05).T1mean and ADCmean were both higher in high group than those in low group(both P＜0.05).Lesions enhancement pattern,T1mean and ADCmean were all independent predictors of TIL levels in breast cancer.The AUC of nomogram combining the above 3 factors for predicting TIL level was 0.848,significantly higher than that of lesions enhancement pattern(AUC=0.569,Z=5.384,P＜0.05)and T1mean(AUC=0.662,Z=3.876,P＜0.05),but not statistically different with that of ADCmean(AUC=0.814,Z=1.578,P=0.115).Decision curve analysis showed that this nomogram had good clinical application value.Conclusion Combining T1 mapping and DWI could effectively predict level of TIL level in breast cancer before surgery.

Objective:To explore the value of amide proton transfer weighted imaging (APTWI) combined with human epidermal growth factor receptor 2 (HER2) expression in predicting pathological complete response (pCR) after neoadjuvant chemotherapy (NAC) in breast cancer.Methods:The study was a cross-sectional study. Clinicopathological [estrogen receptor (ER), progesterone receptor (PR), HER2, Ki-67 status, and molecular subtypes] and imaging data were retrospectively analyzed in 100 female patients who had invasive ductal carcinoma of the breast confirmed pathologically by preoperative puncture in the Henan Cancer Hospital from May 2023 to May 2024. All patients underwent MRI, including enhanced MRI, APTWI, and diffusion-weighted imaging (DWI) before NAC. The reference enhanced MRI images were segmented into lesions using the threshold extraction method, and the three-dimensional region of interest within the tumor was automatically outlined by the software and replicated in the amide proton transfer map generated by APTWI and the apparent diffuse coefficient (ADC) map generated by DWI. The magnetization transfer ratio asymmetry (MTRasym) value and the ADC value were measured, respectively. Tumor response to NAC was assessed using the Miller-Payne grading system, where Grade 5 indicated pCR and Grades 1-4 were classified as non-pCR. Independent sample t-tests and χ2 tests were used to compare clinical pathological and imaging parameters between pCR and non-pCR patients. Statistically significant variables were included in multivariate logistic regression to identify independent predictors of pCR. The diagnostic performance of individual and combined indicators for pCR was evaluated using receiver operating characteristic curves and the area under the curve (AUC). DeLong′s test was used to compare AUCs. Results:There were 39 pCR and 61 non-pCR patients. Significant differences were observed between the pCR and non-pCR patients in molecular subtypes, ER, PR, HER2, and Ki-67 statuses ( P<0.05). Pre-treatment MTRasym values were significantly higher in the pCR patients compared to the non-pCR patients ( P=0.005), whereas ADC values showed no statistical difference ( P=0.372). Multivariate logistic regression analysis showed HER2 positivity ( OR=5.87, 95% CI 1.99-17.30, P=0.001) and MTRasym values>2.61% (OR=4.39, 95% CI 1.37-14.08, P=0.013) was independent predictors of pCR after NAC. HER2 positivity combined with MTRasym value>2.61% predicted pCR after NAC in breast cancer with AUC of 0.819, which was superior to HER2 positivity and MTRasym value alone in predicting efficacy ( Z=3.91, P<0.001; Z=2.63, P=0.009). Conclusions:The MTRasym value of pre-treatment APTWI is valuable in predicting pCR after NAC in breast cancer. APTWI combined with HER2 expression status can further enhance the predictive efficacy.

Objective:To explore the value of contrast enhancement T1 fluid-attenuated inversion recovery sequence (CE-T1FLAIR) based on modulated flip angle technique in refocused imaging with extended echo train (MATRIX) in detecting metastases.Methods:One hundred and seventy-six patients with pathologically diagnosed malignant tumors and brain metastases accepted enhanced 3.0T MRI scan in Department of Medical Imaging, He'nan Provincial Cancer Hospital from October 2023 to February 2024 were enrolled. Lianying's intelligent brain metastasis AI-assisted detection system and sequences of MATRIX CE-T1FLAIR, 3D GRE_fsp CE-T1FLAIR and FSE CE-T1FLAIR were used to detect the brain metastasis lesions, respectively. Length of the lesions was measured according to Lianying's intelligent brain metastasis AI-assisted detection system, and all lesions were divided into 3 categories: <3 mm, 3-10 mm, and >10 mm. Differences in detection rate in brain metastases of different lengths and locations among the 3 sequences were compared.Results:Detection rates of MATRIX CE-T1FLAIR, 3D GRE_fsp CE-T1FLAIR, and FSE CE-T1FLAIR in brain metastases were 99.67%, 90.52%, and 71.02%, which were decreased successively, with significant differences ( P<0.05). Detection rates of MATRIX CE-T1FLAIR, 3D GRE_fsp CE-T1FLAIR and FSE CE-T1FLAIR in brain metastases with length<3 mm (99.24%, 79.95% and 46.45%) or length of 3-10 mm (100%, 98.19% and 87.53%) were decreased successively, with significant differences ( P<0.05). Detection rates of MATRIX CE-T1FLAIR (100%, 80.56% and 64.24%), 3D GRE_fsp CE-T1FLAIR (100%, 97.25% and 76.11%), and FSE CE-T1FLAIR (100%, 91.18% and 70.59%) in metastases at the superficial area of the brain convexity, gray-white matter junction area, and cerebellum were decreased successively, with significant differences ( P<0.05). Detection rates of FSE CE-T1FLAIR in brain metastases in the basal ganglia and brainstem (69.33% and 50%) were significantly lower than those of MATRIX CE-T1FLAIR and 3D GRE_fsp CE-T1FLAIR (97.33% and 92.86%; 88% and 78.57%, P<0.05). Conclusion:MATRIX CE-T1FLAIR sequence is better than 3D GRE_fsp CE-T1FLAIR and FSE CE-T1FLAIR sequences in detecting brain metastases, especially for metastases with length<10 mm and metastases located at the superficial area of the brain convexity, gray-white matter junction area and cerebellum.

Objective:To investigate the efficacy and related influencing factors of autologous hematopoietic stem cell transplantation(auto-HSCT)as first-line consolidation therapy for newly diagnosed elderly patients with diffuse large B cell lymphoma(DLBCL).Methods:Retrospective study of clinical characteristics, therapeutic effect, and prognostic factors of newly diagnosed DLBCL elderly patients with an International Prognostic Index(IPI)score≥3 who underwent auto-HSCT in the Affiliated People's Hospital of Ningbo University from January 2015 to August 2020.Results:Among the 31 patients, 18 were males and 13 were females, with a median age of 65(60-75)years.The 13 cases(41.9%)were involved in 2 sites outside lymph nodes, and 13 cases(41.9%)were involved in bone marrow.IPI medium and high risk(IPI=3 points)was found in 21 cases(67.7%), high risk(≥4 points)in 10 cases(32.2%). Before transplantation, 21(67.7%)patients achieved complete remission(CR), and the other 10(32.3%)patients were in the partial remission(PR). All patients after transplantation achieved hematopoietic reconstitution.The median time for neutrophil and platelet engraftment were 10(9-16)days and 12(8-58)days respectively.During a median follow-up of 20.9(3.1 to 73.0)months after transplantation, transplant-related mortality within 100 days was 3.2%(1/31). The 2-year overall survival(OS)and progression-free survival(PFS)were(77.2±8.4)% and(72.7±8.3)%, respectively.Multivariate Cox analysis showed that the achieved partial remission status before auto-hematopoietic stem cell transplantation[OS( HR=30.064, 95% CI: 2.231-405.209, P=0.010), PFS( HR=9.165, 95% CI: 1.926-43.606, P=0.005)], and CD34 + cell count in graft <3×10 6/kg[OS( HR=12.004, 95% CI: 1.234-116.807, P=0.032), PFS( HR=6.115, 95% CI: 1.325-28.221, P=0.020)]were the independent poor prognostic factor affecting both OS and PFS in elderly lymphoma patients. Conclusions:Auto-HSCT may improve the survival rate of carefully selected elderly patients with DLBCL.Pretransplant disease status and the number of CD34 + cells in the graft are important factors to predict the efficiency of auto-HSCT of the patients.

Humans ; Data Warehousing ; East Asian People ; Intracranial Hemorrhages/diagnostic imaging* ; Asian People ; Cerebral Hemorrhage/diagnostic imaging*

Humans ; Female ; Breast Neoplasms/pathology* ; Multiomics ; Trastuzumab ; Receptor, ErbB-2/genetics* ; Machine Learning