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.

OBJECTIVE To explore the characteristics of adverse drug reaction （ADR） induced by semaglutide and provide a reference for clinically safe medication. METHODS Using search terms such as “semaglutide” and “adverse reactions” in both Chinese and English， the case reports about ADRs caused by semaglutide were searched and analyzed from PubMed， Web of Science， SpringerLink， CNKI， Chinese Medical Journal Full-text Database， Wanfang Medical Network and VMIS. RESULTS Overall 14 literature were included， involving 17 patients. Among 17 patients， 9 were female and 8 were male， with the age ranging from 25 to 80 years. Eight patients were given two or more drugs， and eight patients took 0.25 mg as the initial dose； the ADR occurred most frequently within 6 months （94.12%）. Sixteen patients’ symptoms improved or recovered after drug withdrawal and symptomatic treatment. Eleven patients did not mention whether to continue to use semaglutide in the future. Nine patients underwent ADR correlation evaluation， and 1， 3， 1 and 4 cases were determined to be “definite”，“ probable”，“ possible”， and “doubtful” respectively. Semaglutide-induced ADRs involved multiple organs or systems， most of which were the digestive system （35.29%）， followed by skin tissue （29.41%）. Among them， acute gastric dilation， severe liver injury， calculous cholecystitis， bullous pemphigoid， eosinophilic fasciitis， acute kidney injury， acute interstitial nephritis， depression and acute hemolytic anemia were not mentioned in the instruction. CONCLUSIONS ADRs caused by semaglutide can occur in all ages， mainly within 6 months after medication， and mainly involve the digestive system， skin tissue， etc. Great attention should be paid to pharmaceutical care for those patients with liver and kidney dysfunction， neuropsychiatric diseases， glucose-6-phosphate dehydrogenase deficiency， etc. When ADR occurs， drug withdrawal and symptomatic treatment should be performed promptly to ensure patients’ medication safety.

ObjectiveRapid and accurate identification of body fluid traces at crime scenes is crucial for case investigation. Leveraging the speed and sensitivity of nucleic acid detection technology based on SHERLOCK, our research focuses on developing a peripheral blood SHERLOCK-HBA detection system to detect mRNA in forensic practice. MethodsShort crRNA fragments targeting the blood-specific mRNA gene HBA were designed and screened, alongside RPA primers. Optimal RPA primers were selected based on specificity and amplification efficiency, leading to the establishment of the RPA system. The most efficient crRNA was chosen based on relative fluorescence units (RFU) generated by the Cas protein reaction, and the Cas protein reaction system was constructed to establish the SHERLOCK-HBA detection method. The RPA and Cas protein reaction systems in the SHERLOCK detection system were then individually optimized. A total of 79 samples of five body fluids were tested to evaluate the method’s ability to identify blood, with further verification through species-specific tests, sensitivity tests, mixed spots detection, aged samples, UV-irradiated samples, and actual casework samples. ResultsThe SHERLOCK reaction system for the peripheral blood-specific marker HBA was successfully established and optimized, enabling detection within 30 min. The method demonstrated a detection limit of 0.001 ng total RNA, better than FOB strip method and comparable to RT-PCR capillary electrophoresis. The system could detect target body fluids in mixed samples and identify blood in samples stored at room temperature for three years and exposed to UV radiation for 32 h. Detection of 11 casework samples showed performance comparable to RT-PCR capillary electrophoresis. ConclusionThis study presents a CRISPR/Cas-based SHERLOCK-HBA detection system capable of accurately, sensitively, and rapidly identifying blood samples. Introducing CRISPR/Cas technology to forensic body fluid identification represents a significant advancement in applying cutting-edge molecular biology techniques to forensic science.The method’s simplicity, shorter detection time, and independence from specialized equipment make it promising for rapid blood sample identification in forensic cases.

ObjectiveThis study aimed to evaluate the clinical efficacy of Ruyi Zhenbaowan（RYZBW）in the treatment of initial and early knee osteoarthritis （KOA） through a prospective multicenter，randomized，double-blind，and placebo-parallel controlled trial. MethodFrom October 13^th， 2021 to December 25^th， 2021， 240 KOA subjects meeting the acceptance criteria were enrolled in 15 sub-centers including Wangjing Hospital， Chinese Academy of Chinese Medical Sciences， and they were randomly divided into observation group and control group， with 120 cases in each group. The intervention measures for the observation group were RYZBW + health education， and the intervention measures for the control group were RYZBW placebo + health education. The intervention period in both groups was four weeks， and they were followed up for four weeks after the intervention. The primary outcome measure was the total score of Western Ontario and McMaster University Osteoarthritis Index score （WOMAC score）， and the secondary outcome measures were the response rate of visual scale （VAS） pain score， WOMAC sub item scores （joint pain， joint stiffness， and joint function）， quality of life （SF-12） score， and traditional Chinese medicine （TCM） syndrome score. Result（1） Efficacy evaluation. The marginal model results showed that the observation group was better than the control group in improving the WOMAC total score and WOMAC pain score in the treatment of KOA with RYZBW， and the difference was statistically significant （P<0.05）. There was no significant difference between the two groups in improving VAS score response rate， WOMAC function score， WOMAC stiffness score， SF12-PCS （quality of life-physical health） score， SF12-MCS （quality of life-mental health） score， and TCM syndrome score. （2） Subgroup analysis. ① In terms of VAS score response rate， the response rate of the observation group was higher than that of the control group for subjects with baseline VAS score of （4， 5］， and the difference was statistically significant （P<0.05）. ② In terms of TCM syndrome score， for subjects aged ［56， 60］ and ［61， 65］， the decrease in total TCM syndrome score in the observation group was better than that in the control group， and the difference was statistically significant （P<0.05）. ConclusionTibetan medicine RYZBW has good clinical efficacy in improving WOMAC total score， VAS score response rate， WOMAC pain score， WOMAC function score， and TCM syndrome score for patients with initial and early KOA， which can fill the lack of Tibetan medicine RYZBW in the treatment of KOA and make a demonstration study for the inheritance and development of ethnic medicine.

This study aimed to investigate the therapeutic effects of Morinda officinalis iridoid glycosides (MOIG) on bone loss of rheumatoid arthritis (RA) rats, and the mechanism of osteoclast function and activity induced by lipopolysaccharide (LPS). RA rats were established by injecting bovin type II collagen. The Bio-ethic Committee of Zhejiang Chinese Medical University approved all experimental protocols associated with this study (IACUC-20180410-03). The collagen-induced arthritis (CIA) rats were administered drug by gavage for 8 weeks; the femoral trabecular micro-structure changes were observed in CIA rats by micro-CT; the LPS-induced osteoclasts model further observed the effect and mechanism of anti-inflammatory osteoporosis in vitro. The results indicated that MOIG could markedly increase bone mineral density (BMD) in CIA rats, improve trabecular micro-structure. In vitro studies demonstrated that MOIG could significantly inhibit osteoclastogensis and differentiation, suppress tartrate resistant acid phosphatase (TRAP) activity, F-actin ring formation, TNF receptor associated factor 6 (TRAF6) recruitment, and inhibitor of nuclear factor kappa-Bα (IκBα) degradation as well as p65 phosphorylation, thereby repressing nuclear factor kappa-B (NF-κB) signaling pathway activation. Subsequently, MOIG effectively inhibited osteoclast nuclear factor of activated T-cells c1 (NFATc1) and cellular oncogene Fos (c-Fos) expression, as well as bone resorption related protein activity including matrix metalloprotein 9 (MMP-9) and cathepsin K (CtsK). Meanwhile, MOIG also repressed the phosphorylation expression of Janus activating kinase 2 (JAK2) and signal transducer and activator of transcription 3 (STAT3), thereby inhibiting JAK2/STAT3 signaling pathway activation. Moreover, further studies found that MOIG could suppress glycogen synthase kinase-3β (GSK-3β) activity, and GSK-3β gene silencing could markedly inhibit oetsoclast F-actin ring formation as well as the phosphorylation expression of p65 and STAT3. Of note, compared with GSK-3β gene silencing group, there was no significant difference in the group treated with both MOIG with GSK-3β gene silencing simultaneously. Thus, the results suggested that MOIG may inhibit NF-κB signaling pathway and JAK2/STAT3 signaling pathway activation via regulating GSK-3β, thereby alleviating bone destruction in RA.