Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

ObjectiveTo investigate the effect of blue light on emmetropization in guinea pigs， explore the potential mechanisms and assess its application in myopia prevention and control. MethodsThree-week-old male guinea pigs （n=20） were randomly assigned to the white light group and the blue light group. Refraction and ocular biological parameters were measured every 2 weeks until the experiment ended at week 8. And the 4D-data-independent acquisition （4D-DIA） proteomics technology was used to analyze retina from both the blue light and white light groups， exploring protein composition， expression differences， and biological functions. ResultsAfter 2 weeks， Guinea pigs exposed to white light gradually tended towards emmetropia， showing a statistically significant difference in refractive error compared to the blue light group （P<0.001）. From week 4， the axial length of the blue light group was significantly shorter than that of the white light group （P<0.05）. Meanwhile， the vitreous chamber length in the blue light group was significantly smaller than that of the white light group from week 2 （P<0.05）. A total of 161 differentially expressed proteins were identified by proteomics technology in the retina， with 98 proteins upregulated and 63 proteins downregulated. These proteins were primarily enriched in biosynthetic pathways such as vesicle transport， redox reaction， niacin and nicotinamide metabolism and NAD+ metabolism. ConclusionsGuinea pigs raised under blue light exhibit hyperopic drift and slowed axial elongation， which slows the procession of emmetropization. Based on the 4D-DIA technology， the differentially expressed proteins between the blue light and white light groups are primarily involved in NAD+ metabolism， niacin and nicotinamide metabolism. Especially in NAD+ salvage synthesis， nicotinamide phosphoribosyl transferase （NAMPT） is upregulated， while sirtuin 2 （SIRT2） is downregulated. It provides new insights into the mechanism of blue light in emmetropization and a theoretical basis for myopia prevention and control.

Alzheimer' s disease (AD) is a progressive neurodegenerative disorder histologically characterized by the presence of senile plaques and neurofibrillary tangles (NFTs) found in and around pyramidal neurons in cortical tissue. Mounting evidence suggests regional increased iron load and dyshomeostasis have been associated with oxidative stress, oxidation of proteins and lipids, and cell death, and appears to be a risk factor for more rapid cognitive decline, thereby involved in multiple aspects of the pathophysiology of AD. Ferroptosis is a newly identified iron-dependent lipid peroxidation-driven cell death and emerging evidences have demonstrated the involvement of ferroptosis in the pathological process of AD. Notably, some novel compounds targeting ferroptosis can relieve AD-related pathological symptoms in AD cells and animal model and exhibit potential clinical benefits in AD patients. This review systematically summarizes the growing molecular and clinical evidence implicating ferroptosis in the pathogenesis of AD, and then reviews the application of ferroptosis inhibitors in mouse/cell models to provide valuable information for future treatment and prevention of AD.

Objective To explore the dynamic changes and mechanisms of neurological and cognitive functions in mice with traumatic brain injury (TBI). Methods Totally 60 12⁃month⁃old Balb/ c mice were divided into control group (10 in group) and TBI group (50 in group). TBT model mice were divided into 5 subgroups according to the time of model construction, including model 1 day, model 1 day, model 3 day, model 7 day, model 14 days and model 28 days group with 10 in each group. At the 29th day of the experiment, neurological scores and step down tests were carried out. After the test, the mice were sacrificed for brains which were detected by immunohistochemistry staining, inflammatory cytokine tests and Western blotting. Results Compared with the control group, the neurological scores of mice in TBI group increased, and then decreased after the 7th day when the scores reached the peak. However, the latency of step down errors was lower than control group, and the number of step down errors was higher than control group which had no changes. Compared with the control group, the expression of lonized calcium⁃binding adapter molecule 1(IBA1), chemokine C⁃X3⁃C⁃motif ligand1 (CX3CL1), C⁃X3⁃C chemokine receptor 1(CX3CR1), NOD⁃like receptor thermal protein domain associated protein 3 (NLRP3), and phosphorylation nuclear factor(p⁃NF)⁃κB in TBI group increased and reached to the peak at the 7th day, and then started to decrease. At the same time, the levels of inflammatory cytokines interleukin⁃6(IL⁃6) and tumor necrosis factor⁃α(TNF⁃α) first increased to the peak, and then began to decrease. However, compared with the control group, the expression of amyloid β(Aβ) protein and p⁃Tau protein in the model group continued to increase at all time. Conclusion The TBI model caused continuous activation of microglia along with inflammatory response, which first increased and then decreased, resultsing in neurological scores changes. In addition, the inflammatory response may act as a promoter of Aβ protein deposition and Tau protein phosphorylation, leading to cognitive impairment in mice.

Natural products are important sources for the discovery of anti-tumor drugs. Evodiamine is the main alkaloid component of the traditional Chinese herb Wu-Chu-Yu, and it has weak antitumor activity. In recent years, a number of highly active antitumor candidates have been discovered with a significant progress. This article reviews the research progress of evodiamine-based antitumor drug design strategies, in order to provide reference for the development of new drugs with natural products as leads.

Objective:To study the clinical manifestations, genetic profiles and treatment of Kagami-Ogata syndrome (KOS).Methods:A neonate admitted to our hospital was genetically diagnosed of KOS from amniocentesis sampling. The phenotype, genotype and treatment of the neonate were analyzed. Multiple databases were searched using key words including "Kagami-Ogata syndrome", "14q32 microdeletion syndrome", "coat-hanger ribs", "paternal uniparental disomy (pUPD)(14) " from the inception of the databases to Jan. 23th 2023. The clinical features, genotype and treatment of patients from the literature were summarized.Results:The neonate in our hospital was born at 30 weeks gestational age with a birth weight of 2 035 g. Prenatal ultrasound indicated overgrowth, bilateral fetal renal pelvis dilatation (FRPD), dilatation of intestines in lower abdomen, clenched hands with overlapping fingers and polyhydramnios. After birth, the neonate showed progressively worsening respiratory distress, distinct facial features (small jaw, short neck, flat nasal bridge, upward-facing nostrils, small and malformed ears with auricular deformity and narrow external auditory canals), bell-shaped thorax, diastasis recti and abnormal posture (overlapping fingers, clenched fists), as well as feeding difficulties, recurrent fever and dependence of respiratory support. Whole exome sequencing (WES) revealed a 268.2Kb deletion (101034306_101302541) in 14q32.2 region on both the neonate and the mother and the father was otherwise normal. The prognosis was poor and the parents refused further treatment. The neonate died at one month of age after two days of palliative care. A total of 36 articles were identified in the literature review, including 78 KOS cases with complete clinical data (a total of 79 cases adding our case).The primary clinical manifestations included distinctive facial and thoracic abnormalities (79/79, 100%), polyhydramnios (71/75, 94.7%), feeding difficulties (55/63, 87.3%), abdominal wall defects (57/72, 79.2%), joint contractures (39/70, 55.7%) and dependence of respiratory support (29/56, 51.8%). Long-term follow-up revealed 86.8% (59/68) experienced physical, movement and intellectual development delay, 39.7% (25/63) died or gave up treatments within five years. Genetic testing showed pUPD in 44 cases (55.7%), maternal deletions in 23 cases (29.1%), epimutations in 8 cases (10.1%) and unreported variations in 4 cases (5.1%).Conclusions:KOS is a genetic imprinting disorder affecting multiple organs. Prenatal screening can detect abnormalities such as polyhydramnios. Specific clinical signs, radiological findings and 14q32 gene analysis are helpful for the diagnosis of the disease.