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.

Objective To study the common basis and association between sickness behaviour and occurrence of classical symptoms of kidney yang deficiency of rats with adriamycin nephropathy.Methods The SD rats were given adriamycin by tail-vein injection for 2 times(4.0 and 3.5 mg·kg-1,one week apart)to construct the model of nephrotic syndrome with Chinese medicine symptom of kidney yang deficiency.After successful modeling,the model rats were randomly divided into adriamycin group(ADR group),corticosterone group(CORT group)and hydrocortisone group(HYD group),with 12 rats per group;another 12 normal rats were taken as normal group.In the HYD group,25 mg·kg-1·d-1 HYD was administered for 14 d to establish kidney yang deficiency model with simple hypothalamus-pituitary-adrenal cortex(HPA)axis inhibition.CORT group was adding 25 μg·mL-1 corticosterone to the water for 6 weeks,and the others drinking water supplied.The levels of urinary 17-hydroxy steroid were measured by enzyme linked immunosorbent assay.Glucocorticoid receptor(GR)and nuclear factor-kappa B(NF-κB)protein expression levels in kidney and hypothalamus were detected by Western blotting.Results In the normal,ADR,CORT and HYD groups,the urinary 17-hydroxysteroid levels were(19.14±1.94),(10.07±1.62),(20.30±1.55)and(14.23±2.37)μg·L-1;the relative expression levels of GR protein in hypothalamic were 0.63±0.05,0.11±0.05,0.85±0.08 and 0.35±0.06;the relative expression levels of NF-κB protein in hypothalamic were 0.06±0.03,0.96±0.03,0.59±0.01 and 0.23±0.04;the relative expression levels of GR protein in kidney tissue were 0.94±0.06,0.06±0.02,0.40±0.02 and 0.09±0.08;the relative expression levels of NF-κB protein in kidney tissue were 0.07±0.05,0.81±0.12,0.72±0.07 and 0.49±0.08,respectively.Compared with the ADR and HYD groups,the above indexes in the normal group were statistically significant(P＜0.05,P＜0.01).And compared with the ADR group,the relative expression levels of NF-κB protein in renal tissue with CORT group were not statistically significant(P＞0.05),but the other indexes in CORT group were statistically significant(all P＜0.01).Conclusion HPA axis dysfunction with GR damaged and activated inflammatory levels are the common basis for the combination of typical symptoms of kidney yang deficiency and sickness behaviour which characterised by"deficiency and cold syndrome".

Background::The goal of the assisted reproductive treatment is to transfer one euploid blastocyst and to help infertile women giving birth one healthy neonate. Some algorithms have been used to assess the ploidy status of embryos derived from couples with normal chromosome, who subjected to preimplantation genetic testing for aneuploidy (PGT-A) treatment. However, it is currently unknown whether artificial intelligence model can be used to assess the euploidy status of blastocyst derived from populations with chromosomal rearrangement.Methods::From February 2020 to May 2021, we collected the whole raw time-lapse videos at multiple focal planes from in vitro cultured embryos, the clinical information of couples, and the comprehensive chromosome screening results of those blastocysts that had received PGT treatment. Initially, we developed a novel deep learning model called the Attentive Multi-Focus Selection Network (AMSNet) to analyze time-lapse videos in real time and predict blastocyst formation. Building upon AMSNet, we integrated additional clinically predictive variables and created a second deep learning model, the Attentive Multi-Focus Video and Clinical Information Fusion Network (AMCFNet), to assess the euploidy status of embryos. The efficacy of the AMCFNet was further tested in embryos with parental chromosomal rearrangements. The receiver operating characteristic curve (ROC) was used to evaluate the superiority of the model. Results::A total of 4112 embryos with complete time-lapse videos were enrolled for the blastocyst formation prediction task, and 1422 qualified blastocysts received PGT-A ( n = 589) or PGT for chromosomal structural rearrangement (PGT-SR, n = 833) were enrolled for the euploidy assessment task in this study. The AMSNet model using seven focal raw time-lapse videos has the best real-time accuracy. The real-time accuracy for AMSNet to predict blastocyst formation reached above 70% on the day 2 of embryo culture, and then increased to 80% on the day 4 of embryo culture. Combing with 4 clinical features of couples, the AUC of AMCFNet with 7 focal points increased to 0.729 in blastocysts derived from couples with chromosomal rearrangement. Conclusion::Integrating seven focal raw time-lapse images of embryos and parental clinical information, AMCFNet model have the capability of assessing euploidy status in blastocysts derived from couples with chromosomal rearrangement.

Effective treatments for neuropathic pain are lacking due to our limited understanding of the mechanisms. The circRNAs are mainly enriched in the central nervous system. However, their function in various physiological and pathological conditions have yet to be determined. Here, we identified circFhit, an exon-intron circRNA expressed in GABAergic neurons, which reduced the inhibitory synaptic transmission in the spinal dorsal horn to mediate spared nerve injury-induced neuropathic pain. Moreover, we found that circFhit decreased the expression of GAD65 and induced hyperexcitation in NK1R⁺ neurons by promoting the expression of its parental gene Fhit in cis. Mechanistically, circFhit was directly bound to the intronic region of Fhit, and formed a circFhit/HNRNPK complex to promote Pol II phosphorylation and H2B monoubiquitination by recruiting CDK9 and RNF40 to the Fhit intron. In summary, we revealed that the exon-intron circFhit contributes to GABAergic neuron-mediated NK1R⁺ neuronal hyperexcitation and neuropathic pain via regulating Fhit in cis.
Rats ; Animals ; Posterior Horn Cells/pathology* ; Spinal Cord Dorsal Horn/metabolism* ; Neuralgia ; Synaptic Transmission

Objective To understand the prevalence of smoking and drinking among residents ≥ 30 years old in Chengdu, and to investigate the death attributable to smoking and drinking and its effect on life expectancy. Methods The data sources were data of the causes of death of residents in the 2018 Sichuan Health Statistical Yearbook, the health survey data of Chengdu residents in the natural population cohort in southwest China, and the data of smoking and drinking related diseases and their relative risk in the global disease burden of the World Health Organization. The counterfactual attribution method was used to calculate the number of attributable deaths and life expectancy loss caused by smoking and drinking. Results The life expectancy of 30-year-old residents in Chengdu was 53.91 years (51.52 years for males and 56.48 years for females). The total number of deaths attributed to smoking was 14 370, with chronic obstructive pulmonary disease (4 926), lung cancer (4 234), and esophageal cancer (1 578) ranking the top three. The total number of deaths attributed to drinking was 2 185, among which cerebrovascular disease, esophageal cancer, and liver cirrhosis were the three leading causes of death attributable to drinking. The loss of life expectancy caused by smoking was 2.03 years (3.47 years for males and 0.39 years for females), and the loss caused by drinking was 0.28 years (0.48 years for males and 0.04 years for females). Conclusion Smoking and drinking cause a great loss of life expectancy of Chengdu residents and impose a huge disease burden on the death from respiratory system, digestive system, cardiovascular and cerebrovascular diseases.

ObjectiveTo analyze the expression of Lactate dehydrogenase A（LDHA） in both renal cell carcinoma （RCC） tissue and RCC cell lines， and to investigate the impact of LDHA expression on the progression of RCC. MethodsFrom June 2018 to June 2022， totally 52 cases of RCC tissue samples and 49 cases of para-cancerous tissue samples were collected through surgical procedures from our hospital. LDHA expression was detected using immunohistochemistry （IHC）. The expression levels of LDHA in vitro were also detected in the normal human proximal tubule epithelial cell line HK-2 and renal cell carcinoma cell lines A498， Caki-2， ACHN， and 786-O by using qRT-PCR and Western blot. A recombinant plasmid carrying LDHA-shRNA was constructed and then transfected into 786-O cells to down-regulate the expression of LDHA. Tumor proliferative capacity was monitored using CCK-8 assay， clonal formation assay and EdU assessments. Additionally， cell glycolytic activity was assessed through glucose uptake assay， lactate secretion assay， and ECAR analysis. ResultsIHC analysis revealed significantly higher expression of LDHA in RCC tissue compared to adjacent tissues（P<0.05）. Furthermore， RCC tissues with higher TNM stage exhibited greater expression of LDHA than those with lower TNM stage （P<0.05）. The results of qRT-PCR and Western blot demonstrated that the expression of LDHA in each RCC cell line was significantly higher than that in HK-2（P<0.05）. After blocking the expression of LDHA in 786-O， there was a significant down-regulation of cell proliferation and glycolysis capacity （P<0.05）. ConclusionsThe expression of LDHA in RCC tissue and RCC cell lines is significantly overexpressed compared with normal one， particularly in those with higher TNM stage. Knockdown of the expression of LDHA significantly suppresses cell proliferation and aerobic glycolysis capacity in 786-O.