Diabetic macular ischemia(DMI), playing key roles behind the progression of diabetic retinopathy(DR), is one of the causes of vision loss. Its pathophysiological process is complex, involving vascular structure changes, hemodynamic abnormalities, and many other aspects. Traditional inspection methods often make it difficult to accurately capture subtle changes in DMI. In turn, optical coherence tomography angiography(OCTA)has opened a pathway to the diagnosis and treatment of DMI, which not only has the advantages of non-invasive, safe and rapid imaging, but also furnishes high-resolution retinal vascular images to provide qualitative and quantitative descriptions of DMI. OCTA can visually show the morphological and structural changes of blood vessels in the macular region, as well as reveal the characteristics of pathological changes in the superficial and deep capillary plexus of DMI patients, which provides a deeper understanding of DMI and a new treatment option of diabetic eye disease.

ObjectiveTo explore the effects of astragalin （AST） on autophagy and apoptosis of astrocytes in the L_4-5 dorsal horn of the spinal cord in mice with inflammatory pain induced by complete Freund's adjuvant （CFA）. MethodsTwenty-four male C57BL/6 mice， aged six months， were randomly assigned to four groups： control group， saline group， CFA model group， and CFA+AST group， six mice in each group. The inflammatory pain model was established by injection of 10 µL CFA into the right lateral malleolus fossa. The saline group were injected with an equal amount of normal saline at the same site. The inflammatory pain mice in CFA+AST group were further treated with AST （60 mg/kg） intraperitoneally once a day for 21 consecutive days. Multiplex immunofluorescence staining was used to detect the coexpression of autophagy-related factors including ATG 12 and Beclin-1， apoptosis-related factors including Cleaved-Caspase3 and Caspase9， and the astrocyte marker such as GFAP in the L_4-5 spinal dorsal horn of the mice in each group. Western blot was used to examine the protein expression levels of autophagy-related proteins（ATG12， Beclin-1） and apoptosis-related proteins（Caspase 3， Caspase 9） in the L_4-5 spinal dorsal horn of mice. ResultsImmunofluorescent staining showed that in the L_4-5 dorsal horn of the spinal cord， the fluorescence intensity of ATG12 （P<0.000 1） and Beclin-1 （P<0.000 1） was significantly increased， while that of Cleaved-Caspase 3 （P<0.001） and Caspase 9 （P<0.000 1） was decreased in the CFA+AST group when compared to the CFA model group. Furthermore， AST could inhibit the activation of astrocytes. Western blot further confirmed that AST significantly upregulated the expression of ATG12 （P<0.000 1） and Beclin-1 （P<0.000 1） in the L_4-5 spinal cord of CFA mice， and downregulated the expression of Caspase 3 （P<0.01） and Caspase 9 （P<0.001）. ConclusionsAST promotes autophagy of astrocytes and inhibits their apoptosis in the L_4-5 spinal dorsal horn of CFA mice.

Objective: To analyze the trends, gender, and age differences in the incidence of lip and oral cavity cancer in Chinese population from 1990 to 2021 and predict future incidence trends, providing a scientific basis for disease prevention and public health policy. Methods: Incidence data of lip and oral cavity cancer in Chinese population from the Global Burden of Disease (GBD) database from 1990 to 2021 were analyzed. The Joinpoint regression model was used to assess temporal trends, the age-period-cohort model was used to evaluate the independent effects of age, period, and cohort, and the Bayesian age-period-cohort model (BAPC) model was used to predict incidence trends from 2022 to 2044. Results: From 1990 to 2021, the age-standardized incidence rate of lip and oral cavity cancer in Chinese population increased from 2.39/100 000 to 3.76/100 000, and the crude incidence rate rose from 1.71/100 000 to 4.85/100 000. The incidence rate in males was higher and increased more rapidly than in females. Higher incidence rates were prevalent among older populations, a rapid increase in incidence rates occurred during 2003 to 2012, and earlier birth cohorts showed overall higher risks. BAPC predictions indicated a continued rise in incidence from 2022 to 2044. During this period, male incidence stabilized while female incidence increased at a relatively faster rate. Conclusion The incidence of lip and oral cavity cancer in Chinese population has revealed a continuous upward trend, particularly among males and older populations. Future prevention strategies should focus on these high-risk populations.

Chemotherapy-induced peripheral neurotoxicity (CIPN) is a severe dose-limiting adverse event of chemotherapy. Presently, the mechanism underlying the induction of CIPN remains unclear, and no effective treatment is available. In this study, through metabolomics analyses, we found that nab-paclitaxel therapy markedly increased serum serotonin [5-hydroxtryptamine (5-HT)] levels in both cancer patients and mice compared to the respective controls. Furthermore, nab-paclitaxel-treated enterochromaffin (EC) cells showed increased 5-HT synthesis, and serotonin-treated Schwann cells showed damage, as indicated by the activation of CREB3L3/MMP3/FAS signaling. Venlafaxine, an inhibitor of serotonin and norepinephrine reuptake, was found to protect against nerve injury by suppressing the activation of CREB3L3/MMP3/FAS signaling in Schwann cells. Remarkably, venlafaxine was found to significantly alleviate nab-paclitaxel-induced CIPN in patients without affecting the clinical efficacy of chemotherapy. In summary, our study reveals that EC cell-derived 5-HT plays a critical role in nab-paclitaxel-related neurotoxic lesions, and venlafaxine co-administration represents a novel approach to treating chronic cumulative neurotoxicity commonly reported in nab-paclitaxel-based chemotherapy.
Paclitaxel/toxicity* ; Animals ; Albumins/adverse effects* ; Serotonin/metabolism* ; Mice ; Humans ; Male ; Female ; Venlafaxine Hydrochloride/therapeutic use* ; Neurotoxicity Syndromes/metabolism* ; Middle Aged ; Schwann Cells/metabolism* ; Peripheral Nervous System Diseases/drug therapy* ; Antineoplastic Agents

Curcumae Rhizoma, derived from the rhizome of Curcuma phaeocaulis, Curcuma kwangsiensis and Curcuma wenyujin, was called Ezhu in China. In the past, Curcumae Rhizoma extracts were obtained through water decoction or alternative methods, which showed significant anti-cancer effects. However, the mixed extracts contain various compound components of Curcumae Rhizoma, leading to an ambiguous mechanism of action for Curcumae Rhizoma extracts anti-cancer. Contemporary researchers have extracted the chemical components of Curcumae Rhizoma separately for experimental verification of its active ingredients in the anti-cancer field. Numerous studies demonstrated that curcumol, germacrone, β-elemene, and curcumin in Curcumae Rhizoma extracts have significant governing effects in anti-cancer activities. Pharmacological studies have shown that Curcumae Rhizoma suppresses cancer cell proliferation, invasion, and migration, triggering apoptosis and regulating cellular autophagy to achieve anticancer effects. Here, we summarized the research progress of Curcumae Rhizoma on anti-cancer effects from 2013 to 2022, aiming to explore the deeper molecular mechanisms of Curcumae Rhizoma's active components in cancer treatment.

Clinical pathway has great similarity with DRG,and plays an important role in standardizing diagnosis and treatment behavior and controlling medical expenses.Based on the analysis of the relationship between DRG payment method reform and clinical pathway,taking a public hospital in Wuhan City,Hubei Province as an example,the clinical pathway implementation strategy of large public hospitals under the DRG payment method reform was explored from five aspects:management system,suitable disease types,doctor's order setting,information system,training and assessment.

Objective:To investigate the computed tomography (CT)-based integrated deep learning model for qualitative and quantitative classification of hepatic portal vein.Methods:The retrospective study was conducted. The CT imaging data of 291 patients undergoing upper-abdomen enhanced CT examination in the Beijing Tsinghua Changgung Hospital of Tsinghua University from October 2017 to January 2019 were collected. There were 195 males and 96 females, aged (51±12)years. The hepatic portal vein was reconstructed using the three-dimensional reconstruction system. Three-dimensional point cloud was input to the encoder model to obtain the three-dimen-sional reconstructed vectorized representation, which was used for qualitative classification and quantitative representation classification. Measurement data with normal distribution were repre-sented as Mean± SD, and comparison between groups was conducted using the paired t test. Count data were repre-sented as percentages or absolute numbers, and comparison between groups was analyzed using the paired chi-square test. Results:(1) Three-dimensional reconstruction of portal vein and anatomical classification. Three-dimensional structure was reconstructed in the 291 patients. Classification of main hepatic portal vein showed 211 cases of Akgul type A, 29 cases of Akgul type B, 16 cases of Akgul type C, 10 cases of Akgul type D, and 25 cases of unclassifiable. (2) Prediction of qualitative classification of main hepatic portal vein. Of the 291 patient samples, 25 unclassifiable or poor quality samples were excluded, 266 samples were used for automated qualitative classification of the main portal vein by machine model. There were 211 cases of Akgul type A, 29 cases of Akgul type B, 26 cases of Akgul type C&D. The Macro-F1 of 266 patients was 61.93%±40.50% and the accuracy was 84.99%, versus 32.38%±19.81% and 61.65% of Random classifier, showing significant differ-ences between them ( t=7.85, χ2=62.89, P<0.05). (3) Quantitative representation of portal vein classification. The probabilities of quantitative classification for Akgul qualitative classification of similar samples included P@1 as 73%±45%, P@3 as 70%±37%, P@5 as 69%±35%, P@10 as 67%± 32%, mean reciprocal rank(MRR) as 80%±34%, versus 57%±50%, 58%±35%, 58%±32%, 58%± 30%, 70%±37% of the baseline model, showing significant differences between the two analytical methods ( t=5.22, 5.11, 5.00, 4.99, 3.47, P<0.05). Conclusion:The automated classification model for the hepatic portal vein structure was constructed using CT-based three-dimensional reconstruc-tion and deep learning technology, which can achieve automatic qualitative classification and quanti-tatively describe the hepatic portal vein structure.

This article summarizes the overview, occurrence, adverse effects, assessment tools, influencing factors and interventions of kinesiophobia in breast cancer survivors, with a view to providing basis for preventing and reducing the occurrence of kinesiophobia in breast cancer survivors, improving the rehabilitation effect and the quality of life.

OBJECTIVE We have previously shown that inhibition of phosphodiesterase-4(PDE4)protects against neuronal damage in models of Parkinson's dis-ease(PD).However,the mechanisms have not yet been completely revealed.Here we aimed to elucidate the pharmacological effects and mechanisms of action of rof-lupram(ROF),an novel PDE4 inhibitor,in experimen-tal models of PD.METHODS The survival rate,apopto-sis rate and toxicity level of SH-SY5Y cells were deter-mined by MTT,flow cytometry and lactate dehydroge-nase detection kit.At the same time,LYT staining was used to detect the changes of lysosome fluorescence intensity:Western blotting was used to detect the changes of lysosome associated proteins,Sirtuin1 and α-Syn;NAD/NADH assay kit was used to determine the change of NAD content.To explore whether SIRT1 inhibitor(EX527)and lysosomal inhibitor could block the effect of ROF.In addition,ROT was used to stimulate C57BL/6J mice to construct a mouse model of PD to verify the effect and mechanism of ROF.The changes of motor function were evaluated by behavioral experiments(pole climb-ing,bar rotating and balance beam experiments).Super-oxide dismutase kit and Western blotting were used to detect the changes of SOD activity and expression of related proteins in substantia nigra.RESULTS We showed that pretreatment with ROF significantly attenu-ated cell apoptosis in ROT-treated SH-SY5Y cells.Fur-thermore,ROF significantly enhanced the lysosomal function,as evidenced by the increased levels of mature cathepsin D(CTSD)and lysosomal-associated mem-brane protein 1(LAMP1)through increasing NAD+/NADH and the expression of sirtuin 1(SIRT1).Pretreatment with an SIRT1 inhibitor selisistat(SELI,10 μ mol·L-1)attenuated the neuroprotection of ROF,and ROF-increased expression levels of LAMP1 and mature CTSD.Moreover,inhibition of CTSD by pepstatin A(20 μmol·L-1)attenuated the protective effects of ROF.In vivo study was conducted in mice exposed to ROT(10 mg·kg-1·d-1,ig)for six weeks;then,ROT-treated mice received ROF(0.5,1 and 2 mg·kg-1·d-1,ig)for four weeks.ROF significantly ameliorated motor deficits,which was accompanied by increased expression levels of tyro-sine hydroxylase,SIRT1,mature CTSD,and LAMP1 in the substantia nigra pars compacta.CONCLUSION Taken together,these results demonstrate that ROF exerts a neuroprotective action in PD models.The mech-anisms underlying ROF neuroprotective effects appear to be associated with NAD+/SIRT1-dependent activation of lysosomal function.

Objective:To explore the values of ultrasound, pathology combined with inflammatory indicators in predicting high nodal burden (HNB) in patients with early breast cancer and to construct a nomogram to provide reference for individualized diagnosis and treatment.Methods:The ultrasonographic, pathological features and preoperative inflammatory indicators of 378 female patients diagnosed with early breast cancer confirmed by pathology in the South Hospital of the Sixth People′s Hospital Affiliated to Shanghai Jiaotong University from January 2014 to July 2022 were retrospectively analyzed. They were randomly divided into training set ( n=302) and test set ( n=76) in a ratio of 8∶2, and the baseline data of the two groups were compared. The optimal cutoff values of neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR) and lymphocyte to monocyte ratio (LMR) were obtained by ROC curve. In the training set, with axillary high lymph node load (≥3 metastatic lymph nodes) as the dependent variable, independent influencing factors of HNB were identified by univariate and multivariate Logistic regression analyses, and the nomogram was established. The test set data were used to verify the model. The discrimination, calibration and clinical applicability of the model were assessed by the area under the ROC curve (AUC), C-index, the calibration curve, Brier score and the decision curve analysis, respectively. Results:There were no significant differences in all variables between the training set and the test set (all P>0.05). ROC curve analysis results showed that AUCs of NLR, PLR and LMR were 0.578, 0.547 and 0.516, respectively, and the optimal cut-off values were 2.184, 150 and 3.042, respectively. Univariate Logistic regression analysis showed that age, pathological type, histological grade, Ki-67, lymphovascular invasion, NLR, PLR, ultrasonic characteristics (maximum diameter of primary tumor, shape, long/short diameter of lymph node, cortical thickness, cortical and medullary boundary, lymph node hilum, lymph node blood flow pattern) were correlated with HNB of early breast cancer (all P<0.05). Multivariate Logistic regression analysis showed that ultrasonic characteristics (maximum diameter of primary tumor >2 cm, effacement of lymph node hilum, non-lymphatic portal blood flow), lymphovascular invasion, Ki-67>14% and NLR>2.184 were independent risk factors for HNB in early breast cancer ( OR=7.258, 8.784, 6.120, 8.031, 3.394 and 3.767, respectively; all P<0.05) and were used to construct the nomogram model. The AUC of the training set was 0.914 (95% CI=0.878-0.949), C-index was 0.914; The AUC of the test set was 0.871 (95% CI=0.769-0.973), C-index was 0.871, indicating good discrimination. Calibration curve and Brier score were 0.090, indicating high calibration degree of the model. The clinical decision curve indicated good clinical benefit. Conclusions:The nomogram based on ultrasonic characteristics (maximum diameter of primary tumor, lymph node hilum, lymph node blood flow pattern), lymphovascular invasion, Ki-67 and NLR can effectively predict the risk of HNB in patients with early breast cancer, and provide a reference for precision diagnosis and treatment to avoid excessive or insufficient treatment.