Objective To compare the efficacy and tolerability of the novel bowel-cleansing agent TCIC-001 and the traditional polyethylene glycol (PEG) regimen for bowel preparation prior to colonoscopy. Methods Prospective inclusion of 62 patients who were scheduled to undergo colonoscopy at Zhongshan Hospital, Fudan University from July 2021 to July 2022. They were randomly divided into TCIC-001 group (n=31) and PEG group (n=31) using a random number table method. The TCIC-001 group took TCIC-001 orally, drinking water in stages, with a total liquid intake of 1 500 mL; the PEG group took PEG orally, taking it in 4 doses, with a total liquid intake of 3 000 mL. The primary endpoint indicator is the quality of intestinal hygiene evaluated by the Boston Bowel Preparation Scale (BBPS), the secondary endpoint indicators were medication adherence, medication duration, frequency of bowel movements, duration of bowel movements, and incidence of adverse events between two groups. Results No significant differences were observed in sex, age, or defecation frequency between the two groups. For efficacy, both groups achieved equivalent bowel cleanliness, with a “good preparation” rate of 93.55% and comparable BBPS score of each intestinal segment and total scores. For tolerability, the TCIC-001 group had a shorter medication duration compared to the PEG group ([48.8±25.9] min vs [82.8±28.4] min, P<0.001), a longer defecation duration ([288.6±74.0] min vs [236.5±74.3] min, P<0.001), and a lower incidence of first defecation before medication completion (9.68% vs 41.94%, P=0.004). Regarding safety, no significant differences were observed between the TCIC-001 group and the PEG group in incidences of chloride disturbances (0% vs 9.68%) and calcium disturbances (3.23% vs 6.45%), and no other adverse events. Conclusions TCIC-001 demonstrated comparable bowel-cleansing efficacy to PEG while significantly improving tolerability (reduced medication time and lower risk of premature defecation) and maintaining favorable safety.

Loss-of-function variants in CSDE1 have been strongly linked to neuropsychiatric disorders, yet the precise role of CSDE1 in neurogenesis remains elusive. In this study, we demonstrate that knockout of Csde1 during cortical development in mice results in impaired neural progenitor proliferation, leading to abnormal cortical lamination and embryonic lethality. Transcriptomic analysis revealed that Csde1 upregulates the transcription of genes involved in the cell cycle network. Applying a dual thymidine-labelling approach, we further revealed prolonged cell cycle durations of neuronal progenitors in Csde1-knockout mice, with a notable extension of the G1 phase. Intersection with CLIP-seq data demonstrated that Csde1 binds to the 3' untranslated region (UTR) of mRNA transcripts encoding cell cycle genes. Particularly, we uncovered that Csde1 directly binds to the 3' UTR of mRNA transcripts encoding Cdk6, a pivotal gene in regulating the transition from the G1 to S phases of the cell cycle, thereby maintaining its stability. Collectively, this study elucidates Csde1 as a novel regulator of Cdk6, sheds new light on its critical roles in orchestrating brain development, and underscores how mutations in Csde1 may contribute to the pathogenesis of neuropsychiatric disorders.
Animals ; Neurogenesis/genetics* ; Cell Cycle/genetics* ; Mice, Knockout ; Mice ; Neural Stem Cells/metabolism* ; DNA-Binding Proteins/metabolism* ; Cyclin-Dependent Kinase 6/genetics* ; Cell Proliferation ; 3' Untranslated Regions ; Cerebral Cortex/embryology* ; RNA-Binding Proteins ; Mice, Inbred C57BL

Objective: To reveal the molecular biological mechanism of a rare Dc-variant individual using PacBio third-generation sequencing technology. Methods: ABO and Rh blood type identification, DAT, unexpected antibody screening and D antigen enhancement test were conducted by serological testing. The absorption-elution test was used to detect the e antigen. RHCE gene typing was performed by PCR-SSP, and the 1-10 exons of RHCE were sequenced by Sanger sequencing. The full-length sequences of RHCE, RHD and RHAG were detected by PacBio third-generation sequencing technology. Results: Serological findings: Blood type O, Dc-phenotype, DAT negative, unexpected antibody screening negative; enhanced D antigen expression; no detection of e antigen in the absorption-elution test. PCR-SSP genotyping indicated the presence of only the RHCE c allele. Sanger sequencing results: Exons 5-9 of RHCE were deleted, exon 1 had a heterozygous mutation at c. 48G/C, and exon 2 had five heterozygous mutations at c. 150C/T, c. 178C/A, c. 201A/G, c. 203A/G and c. 307C/T. Third-generation sequencing results: RHCE genotype was RHCE 02N. 08/RHCE-D(5-9)-CE; RHD genotype was RHD 01/RHD 01; RHAG genotype was RHAG 01/RHAG 01 (c. 808G>A and c. 861G>A). Conclusion: This Dc-individual carries the allele RHCE 02N. 08 and the novel allele RHCE-D(5-9)-CE. The findings of this study provide data support and a theoretical basis for elucidating the molecular mechanisms underlying RhCE deficiency phenotypes.

Objective To explore an epileptic seizure prediction method for patients with refractory epilepsy to improve the classification and prediction efficiency of epileptic electroencephalogram(EEG)signals.Methods The study used the long-term EEG database of patients with intractable epilepsy from Children's Hospital Boston(CHB-MIT).The EEG features of epileptic seizures and preictal periods were extracted from multiple dimensions such as EEG synchronization,complexity,and energy distribution,and then these features were input into the artificial neural network model for classification and identification,thereby achieving accurate prediction of epilepsy.The performance were optimized by adjusting the model parameters,and a comparative evaluation was conducted with existing deep learning models.Results The model proposed in this study showed an accuracy rate of 99.29％,a precision of 91.44％,a sensitivity of 96.46％,and a specificity of 99.46％.Compared with current epilepsy seizure prediction studies based on machine learning or deep learning frameworks,the model in this study improved its classification prediction capabilities and demonstrated higher prediction accuracy.Conclusion An effective prediction of epileptic seizures was achieved by manually extracting epileptic EEG features and constructing an artificial neural network model.The model demonstrated high accuracy and stability,providing reliable technique to support clinical treatment and prevention of epilepsy.

Objective:To evaluate the efficacy and safety of a new plasma radiofrequency generator and a disposable mucosal incision knife for endoscopic submucosal dissection (ESD) of gastrointestinal lesions.Methods:This study is a prospective, randomized, non-inferiority multicenter study (Chinese Clinical Trial Registry No.: ChiCTR2000041394). The inclusion criteria for cases are as follows: (1) being able to understand and voluntarily participate in this clinical trial, and voluntarily signing the informed consent form; (2) being 18-70 years old, regardless of gender; (3) having a gastrointestinal lesion and meeting the endoscopic treatment conditions for the indications of endoscopic submucosal dissection (ESD). The exclusion criteria are: (1) meeting the contraindications for ESD; (2) having a surgical contraindication due to coagulation dysfunction or still taking anticoagulants 1 week before surgery; (3) having coagulation dysfunction, that is, the prothrombin time is prolonged by more than 3 seconds (more than 5 seconds in patients with liver disease), or the activated partial thromboplastin time is prolonged by more than 10 seconds, and the platelet count is < 70×10?/L; (4) having severe cardiopulmonary insufficiency and being unable to tolerate the surgery; (5) being a reproductive-aged woman with a positive blood or urine pregnancy test or a lactating woman; (6) the investigator deems that there are other factors that are not suitable for inclusion or affect the subject's participation. Patients who underwent ESD treatment for gastrointestinal lesions from March 2019 to April 2023 at the Endoscopy Center of Zhongshan Hospital Affiliated to Fudan University, the Department of Gastroenterology of Minhang District Central Hospital in Shanghai, and the Department of Gastroenterology of Quzhou People's Hospital were prospectively included. The experimental group used a new plasma radiofrequency therapy instrument and a disposable mucosal incision knife, while the control group used a high-frequency electrosurgical system and a disposable mucosal incision knife. The primary efficacy indicator was the en bloc resection success rate, the secondary efficacy indicators included the coagulation success rate, and the operation stability of the plasma radiofrequency therapy instrument and the disposable mucosal incision knife; the safety indicators included the incidence of intraoperative bleeding, intraoperative perforation, and postoperative complications. Results:The study cohort comprised 194 patients, 95 in the experimental group and 99 in the control group. Analysis of the full set showed rates of en bloc resection of 97.89% (93/95) and 96.97% (96/99) in the experimental and control groups, respectively; the difference being 0.53% (-5.58%, 6.64%). Analysis of the compliance set showed rates of en bloc resection of 97.83% (90/92) and 96.88% (93/96) in the experimental and control groups, respectively; the difference being 0.58% (-5.79%, 6.94%). These data indicate that the rate of en bloc resection in the experimental group using plasma radiofrequency therapy and disposable mucosal incision was not inferior to that of the control group. The rates of achieving intraoperative coagulation in the experimental and control groups were 7.14% (5/70) and 5.97% (4/67), respectively; this difference is not statistically significant ( P=1.000). The control group had a significantly better rate of using the same instruments throughout the procedure than did the experimental group ( P<0.001). In the safety analysis set, the incidences of intraoperative and postoperative adverse events did not differ significantly between the two groups (both P>0.05). Conclusion:Plasma radiofrequency therapy equipment and a disposable mucosal incision knife are safe and effective instruments for performing ESD of gastrointestinal lesions.

Objective:To analyze the survival outcomes and prognostic factors of patients with ovarian carcino-sarcoma(OCS)based on SEER database.Methods:The data of 1285 OCS patients from 2000 to 2018 in SEER database were retrospectively analyzed.Univariate and multivariate Cox proportional hazards models were used to evaluate the prognostic factors associated with overall survival(OS)and cancer specific survival(CSS).Kap-lan-Meier survival curve was drawn to evaluate the survival analysis of patients' prognosis after clinical treatment.Results:①The study cohort included a total of 1285 OCS patients,The mean age of these patients was 66.21±11.71 years.Most patients had already experienced regional(22.80％)or distant(72.22％)metastasis at the time of diagnosis.②Multivariate Cox regression revealed,SEER stage of regional or distant metastasis,no surger-y,no chemotherapy,and no lymphadenectomy were independent risk factors for both patient OS and CSS(HR＞1,P＜0.05).Age ≥67 years was an independent risk factor for OS(HR＞1,P＜0.05).Age ≥ 83 years was an in-dependent risk factors for CSS(HR＞1,P＜0.05).③Kaplan-Meier survival analysis showed that among surgical patients with adjacent tissue invasion or distant metastasis had significantly better overall survival rate after lymph node dissection than those without(P＜0.001);We didn't see the significantly different effects of lymphadenecto-my on patients with localized disease(P=0.266).Among all patients who underwent surgery,the overall survival rate of all patients who received adjuvant chemotherapy after surgery was significantly better than that of those who did not(P＜0.001).Conclusions:Prognosis of OCS patients is associated with age,SEER comprehensive stage,surgery status,chemotherapy status,lymphadenectomy status.Patients with OCS who underwent cytore-ductive surgery and adjuvant chemotherapy had a better prognosis.However,it is questionable whether lymph-adenectomy is necessary in OCS patients with very early stage.

Objective To evaluate the dosimetric impact of interfractional bladder fullness variation in volumetric modulated arc therapy for cervical cancer using artificial intelligence-assisted cone-beam CT(CBCT)image segmentation,and propose an imaging-based quantitative assessment criterion for bladder fullness,providing an objective basis for assessing bladder filling status during clinical treatment.Methods Fifty patients receiving volumetric modulated arc therapy for cervical cancer were selected.The criterion for determining bladder fullness was as follow:if the bladder longitudinal diameter measured on the CBCT mid-sagittal plane was greater than half of the bladder longitudinal diameter measured on the localizable CT,it was defined as≥50%bladder fullness;otherwise,it was defined as<50%bladder fullness.Based on this criterion,two CBCT images were selected for each patient(representing fractions with≥50%and<50%fullness,respectively).Borui auto-contouring system was applied to re-contour the target areas and organs at risk,followed by dose recalculation.Results Compared with≥50%bladder fullness group,<50%bladder fullness group had significantly increased bladder V40,and small bowel Dmax,Dmean,V55,V45,V40(P<0.05),indicating that during interfractional radiotherapy,a CBCT-measured bladder longitudinal diameter less than half of the bladder longitudinal diameter measured on the localizable CT could serve as a predictor for significantly increased radiation dose to the bladder and small bowel.Correlation analysis revealed that bladder volume change showed a positive correlation with bladder Dmax change(R=0.45),a significant negative correlation with bladder V30(R=-0.37),and negative correlations with small bowel Dmax,Dmean,V55,V45,V40(R=-0.31,-0.41,-0.39,-0.49,-0.61).The correlation results indicate that increasing bladder fullness could reduce the radiation dose to the bladder and small bowel.Conclusion Artificial intelligence-assisted segmentation confirms that in interfractional radiotherapy for cervical cancer,when the CBCT-measured bladder longitudinal diameter is less than half of the longitudinal diameter measured on the localizable CT,there is a significant increase in radiation dose to OAR.Maintaining an ideal state of bladder fullness contributes to reducing the radiation dose to the bladder and small bowel.It is crucial to provide patients with adequate bladder management education before treatment and implement strict bladder volume management strategies during treatment fractions.

Objective To investigate the relationship between the mean platelet volume(MPV)to platelet count(PLT)ratio(MPV/PLT),blood urea nitrogen(BUN)to lipoprotein a[Lp(a)]ratio[BUN/Lp(a)]and the prognosis of patients with acute exacerbation of chronic obstructive pulmonary disease(COPD).Methods A total of 106 patients with acute exacerbation of COPD admitted to the hospital from January 2021 to January 2024 were selected as the research objects.According to the prognosis,they were divided into sur-vival group(72 cases)and death group(34 cases).The results of routine laboratory tests,blood lipid and lipo-protein levels were compared between the two groups.Multivariate Logistic regression was used to analyze the influencing factors of death in patients with acute exacerbation of COPD.The receiver operating characteristic(ROC)curve was used to evaluate the predictive value of MPV/PLT and BUN/Lp(a)for the prognosis of pa-tients with acute exacerbation of COPD.Results Compared with the survival group,the invasive ventilation rate,acute physiology and chronic health evaluation Ⅱ(APACHE Ⅱ)score,C reactive protein(CRP),white blood cell count(WBC),MPV,BUN,MPV/PLT and BUN/Lp(a)were significantly increased in the death group(P＜0.05).The non-invasive ventilation rate,lymphocyte count,PLT and Lp(a)levels were signifi-cantly decreased(P＜0.05).Multivariate Logistic regression analysis showed that APACHE Ⅱ score,CRP,WBC,lymphocyte count,MPV,PLT,MPV/PLT,BUN,Lp(a)and BUN/Lp(a)were the influencing factors of death in patients with acute exacerbation of COPD(P＜0.05).ROC curve results showed that the sensitivity and specificity of MPV/PLT combined with BUN/Lp(a)for predicting the prognosis of patients with acute exacerbation of COPD were 88.2％and 84.7％,respectively,and the area under curve was 0.887.Conclusion MPV/PLT and BUN/Lp(a)are closely related to the prognosis of patients with acute exacerbation of COPD.The combination of MPV/PLT and BUN/Lp(a)has a high predictive value for the prognosis of patients.

Lung cancer is one of the malignant tumours with the highest morbidity and mortality rates worldwide today, posing a major threat to human health. Accurate diagnosis and standardised treatment play a crucial role in improving the survival rate of lung cancer patients. In recent years, the rapid rise of artificial intelligence (AI) has brought about significant changes in the medical field, providing a new diagnostic and treatment model for lung cancer, and making a series of breakthroughs in lung cancer diagnostic imaging, pathological diagnosis, surgical oncology, radiotherapy, and drug development and treatment. This article introduces the current status of AI application in the field of lung cancer diagnosis and treatment, and extensively discusses the current challenges and future prospects, hoping to provide references and suggestions for future clinical practice.

This paper focuses on the application of health big data in cancer screening. Firstly, the sources and characteristics of health big data are introduced, then the commonly used epidemiological designs and analytical techniques in hospital-based cancer screening studies are summarized and the application scenarios of such studies are described. Finally, the challenges and future development in the application of health big data are analyzed to provide reference for the future studies.