Objective:To assess the safety and efficacy of thiotepa, busulfan, and etoposide (TBE) conditioning followed by autologous hematopoietic stem-cell transplantation (TBE auto-HSCT) in primary central nervous system lymphoma (PCNSL) patients.Methods:Clinical data from 27 PCNSL patients who received TBE auto-HSCT at the Fifth Medical Center of PLA General Hospital between November 1, 2021, and April 30, 2024, were retrospectively analyzed.Results:Twenty-seven patients [16 males, 11 females; median age 57 (23–72) years] were included, with 12 (44.4%, 12/27) over 60. Twenty-five had newly diagnosed PCNSL and 2 were relapsed. Median time from diagnosis to transplantation was 6.9 (5.0–10.0) months. TBE auto-HSCT increased complete remission (CR) rate from 63.0 to 96.3% ( P= 0.005), and 9 of 10 patients in partial remission achieving CR post-transplant. Median follow-up was 24.5 months (range 2.0–36.0). Two-year progress-free and OS rates were (87.2±6.9) % and (88.6±6.2) %, respectively. Common grade 3 nonhematologic adverse events were diarrhea (18.5%, 5/27) and bacterial infections (14.8%, 4/27). One patient (64 years old) died from carbapenem-resistant Enterobacteriaceae infection within 2 months post-transplant, yielding a 100-day treatment-related mortality of 3.7% (1/27) . Conclusion:TBE-conditioned high-dose chemotherapy with auto-HSCT is effective, safe, and well-tolerated in PCNSL patients, including the elderly.

Objective To explore the predictive value of ultra-sound(US)combined with multi-sequence MRI in a clinical-deep learning radiomics nomogram(DLRN)for the short-term efficacy of neoadjuvant chemotherapy(NAC)in patients with triple-negative breast cancer(TNBC).Methods A total of 122 TNBC patients from five hospitals were retrospectively analyzed,and divided into training group(72 cases)and validation group(50 cases).The clinical and pathological data,NAC regimens,and imaging data were collected.The lesions and its surrounding 10-unit voxels from US and MRI images were retained as the region of interest(ROI).Pyradiomics software and a ResNet152 convolutional neural network(CNN)framework were used to extract radiomics and deep learning features to construct a clinical-DLRN with outcome dimension fusion.The receiver operating characteristic(ROC)curve and calibration curve were plotted,and five-fold cross-validation decision curve were used to verify the model's clinical effec-tiveness.Results The clinical-DLRN constructed by US combined with multi-sequence MRI showed that area under the curve(AUC)was 0.967[95％confidence interval(CI)0.782-0.967]and accuracy(ACC)was 0.900,respectively.The five-fold cross-validation decision curve showed good generalization,with the highest clinical net benefit between risk thresholds of 0.72 and 0.96.Conclusion The clinical-DLRN integrating US and multi-sequence MRI has the best efficacy in predicting the short-term efficacy of NAC in TNBC patients,which offering potential guidance for personalized TNBC treatment.

Objective To assess the effects of “dual low” scanning technology in conjunction with an individualized injection protocol in enhancing the quality of abdominal contrast-enhanced CT images. Methods A total of 200 patients who underwent abdominal contrast-enhanced CT examinations at the Hainan Western Central Hospital between January 2022 and January 2024 were selected for the study. Using a random number table, participants were randomly assigned to either a control group (n = 100, sub-hypertonic contrast agent + conventional tube voltage + individualized injection protocol) or an observation group (n = 100, isotonic contrast agent + tube voltage of 100 kV + individualized injection protocol). The study compared the impact of these two methodologies on the quality of abdominal contrast-enhanced CT images. Results During the arterial phase, the CT value of the abdominal aorta was significantly higher in the observation group than that in the control group (P < 0.05), suggesting that isotonic contrast agent and low tube voltage more effectively enhanced vascular signal. During the portal vein phase, the CT value was higher and the liver parenchymal noise was lower in the observation group those in the control group (P < 0.05), further validating the advantages of the “dual low” approach during the portal venous phase. The radiation dose was significantly lower in the observation group than that in the control group (P < 0.05), indicating that the “dual low” protocol effectively reduced radiation dose while enhancing patient safety. During the arterial phase, both the abdominal aorta noise and liver parenchymal noise were lower in the observation group than those in the control group (P < 0.05), demonstrating that the “dual low” strategy effectively reduced image noise and enhanced image clarity. The image quality scores were significantly higher in the observation group than in the control group (P < 0.05), indicating that high image quality could be achieved even at reduced radiation doses and contrast agent concentrations. Conclusion The “dual low” scanning technology, combined with an individualized injection protocol, not only effectively enhances the contrast of arteries and veins, reduces image noise, and improves the overall image quality, but also decreases radiation dose and enhances patient safety. Therefore, this technology is worth being widely promoted.

Objective:To investigate the association between social jetlag and depressive symptoms among college students, as well as its potential influencing factors.Methods:A cross-sectional study was conducted through an online questionnaire platform (Wenjuanxing) from March to April 2023, collecting data on social jetlag, depressive symptoms, and other factors from students at Shantou University. Social jetlag time was defined as the absolute difference between the midpoint of sleep time on weekends and weekdays, with a cutoff at the 75th percentile. The presence of social jetlag was defined as social jetlag time≥1 hour. Depressive symptoms were assessed using the Beck Depression Inventory (BDI), with a score of≥10 indicating the presence of depressive symptoms. Participants were divided into depressive symptom group (BDI≥10) and non-depressive symptom group (BDI<10). Linear regression and logistic regression models were used to analyze the relationship between social jetlag and depressive symptoms, with interaction terms and subgroup analyses to explore potential influencing factors.Results:A total of 1 323 college students were included. The social jetlag time (median 0.71 hour vs. 0.50 hour, Z=-3.36, P<0.001) and prevalence of social jetlag (37.64% vs. 30.57%, χ2=7.03, P=0.008) were both higher in the depressive symptom group than in the non-depressive symptom group. The linear regression model showed that each additional hour of social jetlag was associated with an increase of 0.67 points in BDI score (95% CI=0.16-1.18, β=0.06, P=0.010), after adjusting for age, gender, body mass index, being a medical student, smoking, drinking, caffeine intake, physical exercise, anxiety symptoms, insomnia symptoms, and sleep duration. The logistic regression model indicated that social jetlag was a risk factor for depressive symptoms (O R=1.34, 95% CI=1.02-1.76, P=0.036), which was moderated by physical exercise (interaction P=0.033). Among participants without physical exercise, social jetlag was associated with depressive symptoms ( OR=1.71, 95% CI=1.18-2.48, P=0.005), while no such association was found among those with physical exercise ( OR=0.97, 95% CI=0.64-1.47, P=0.892). Conclusion:Social jetlag may be associated with depressive symptoms in college students. This adverse relationship may be improved by enhancing physical exercise.

Objective To explore the predictive value of ultra-sound(US)combined with multi-sequence MRI in a clinical-deep learning radiomics nomogram(DLRN)for the short-term efficacy of neoadjuvant chemotherapy(NAC)in patients with triple-negative breast cancer(TNBC).Methods A total of 122 TNBC patients from five hospitals were retrospectively analyzed,and divided into training group(72 cases)and validation group(50 cases).The clinical and pathological data,NAC regimens,and imaging data were collected.The lesions and its surrounding 10-unit voxels from US and MRI images were retained as the region of interest(ROI).Pyradiomics software and a ResNet152 convolutional neural network(CNN)framework were used to extract radiomics and deep learning features to construct a clinical-DLRN with outcome dimension fusion.The receiver operating characteristic(ROC)curve and calibration curve were plotted,and five-fold cross-validation decision curve were used to verify the model's clinical effec-tiveness.Results The clinical-DLRN constructed by US combined with multi-sequence MRI showed that area under the curve(AUC)was 0.967[95％confidence interval(CI)0.782-0.967]and accuracy(ACC)was 0.900,respectively.The five-fold cross-validation decision curve showed good generalization,with the highest clinical net benefit between risk thresholds of 0.72 and 0.96.Conclusion The clinical-DLRN integrating US and multi-sequence MRI has the best efficacy in predicting the short-term efficacy of NAC in TNBC patients,which offering potential guidance for personalized TNBC treatment.

Objective:To assess the safety and efficacy of thiotepa, busulfan, and etoposide (TBE) conditioning followed by autologous hematopoietic stem-cell transplantation (TBE auto-HSCT) in primary central nervous system lymphoma (PCNSL) patients.Methods:Clinical data from 27 PCNSL patients who received TBE auto-HSCT at the Fifth Medical Center of PLA General Hospital between November 1, 2021, and April 30, 2024, were retrospectively analyzed.Results:Twenty-seven patients [16 males, 11 females; median age 57 (23–72) years] were included, with 12 (44.4%, 12/27) over 60. Twenty-five had newly diagnosed PCNSL and 2 were relapsed. Median time from diagnosis to transplantation was 6.9 (5.0–10.0) months. TBE auto-HSCT increased complete remission (CR) rate from 63.0 to 96.3% ( P= 0.005), and 9 of 10 patients in partial remission achieving CR post-transplant. Median follow-up was 24.5 months (range 2.0–36.0). Two-year progress-free and OS rates were (87.2±6.9) % and (88.6±6.2) %, respectively. Common grade 3 nonhematologic adverse events were diarrhea (18.5%, 5/27) and bacterial infections (14.8%, 4/27). One patient (64 years old) died from carbapenem-resistant Enterobacteriaceae infection within 2 months post-transplant, yielding a 100-day treatment-related mortality of 3.7% (1/27) . Conclusion:TBE-conditioned high-dose chemotherapy with auto-HSCT is effective, safe, and well-tolerated in PCNSL patients, including the elderly.

Objective:To investigate the association between social jetlag and depressive symptoms among college students, as well as its potential influencing factors.Methods:A cross-sectional study was conducted through an online questionnaire platform (Wenjuanxing) from March to April 2023, collecting data on social jetlag, depressive symptoms, and other factors from students at Shantou University. Social jetlag time was defined as the absolute difference between the midpoint of sleep time on weekends and weekdays, with a cutoff at the 75th percentile. The presence of social jetlag was defined as social jetlag time≥1 hour. Depressive symptoms were assessed using the Beck Depression Inventory (BDI), with a score of≥10 indicating the presence of depressive symptoms. Participants were divided into depressive symptom group (BDI≥10) and non-depressive symptom group (BDI<10). Linear regression and logistic regression models were used to analyze the relationship between social jetlag and depressive symptoms, with interaction terms and subgroup analyses to explore potential influencing factors.Results:A total of 1 323 college students were included. The social jetlag time (median 0.71 hour vs. 0.50 hour, Z=-3.36, P<0.001) and prevalence of social jetlag (37.64% vs. 30.57%, χ2=7.03, P=0.008) were both higher in the depressive symptom group than in the non-depressive symptom group. The linear regression model showed that each additional hour of social jetlag was associated with an increase of 0.67 points in BDI score (95% CI=0.16-1.18, β=0.06, P=0.010), after adjusting for age, gender, body mass index, being a medical student, smoking, drinking, caffeine intake, physical exercise, anxiety symptoms, insomnia symptoms, and sleep duration. The logistic regression model indicated that social jetlag was a risk factor for depressive symptoms (O R=1.34, 95% CI=1.02-1.76, P=0.036), which was moderated by physical exercise (interaction P=0.033). Among participants without physical exercise, social jetlag was associated with depressive symptoms ( OR=1.71, 95% CI=1.18-2.48, P=0.005), while no such association was found among those with physical exercise ( OR=0.97, 95% CI=0.64-1.47, P=0.892). Conclusion:Social jetlag may be associated with depressive symptoms in college students. This adverse relationship may be improved by enhancing physical exercise.

Objective:This study investigated the efficacy and safety of denosumab (DENOS) versus zoledronic acid (ZOL) in the bone disease treatment of newly diagnosed multiple myeloma.Methods:The clinical data of 80 patients with myeloma bone disease (MBD) at the Fifth Medical Center of PLA General Hospital between March 1, 2021 and June 30, 2023 were retrospectively reviewed. Eighteen patients with severe renal impairment (SRI, endogenous creatinine clearance rate<30 ml/min) were treated with DENOS, and 62 non-SRI patients were divided into DENOS (30 patients) and ZOL group (32 patients) .Results:Hypocalcemia was observed in 26 (33%) patients, and 22 patients developed hypocalcemia during the first treatment course. The incidence of hypocalcemia in the non-SRI patients of DENOS group was higher than that in the ZOL group [20% (6/30) vs 13% (4/32), P=0.028]. The incidence of hypocalcemia in SRI was 89% (16/18). Multivariate logistic regression analysis revealed that endogenous creatinine clearance rate<30 ml/min was significantly associated with hypocalcemia after DENOS administration ( P<0.001). After 1 month of antiresorptive (AR) drug application, the decrease in the serum β-C-terminal cross-linked carboxy-telopeptide of collagen type I concentrations of SRI and non-SRI patients in the DENOS group were significantly higher than that in the ZOL group (68% vs 59% vs 27%, P<0.001). The increase in serum procollagen type Ⅰ N-terminal propeptide concentrations of patients with or without SRI in the DENOS group were significantly higher than that in the ZOL group (34% vs 20% vs 11%, P<0.05). The level of intact parathyroid hormone in each group increased after AR drug treatment. None of the patients developed osteonecrosis of the jaw and renal adverse events, and no statistically significant differences in the overall response rate, complete remission and stringent complete remission rates were found among the groups ( P>0.05), and the median PFS and OS time were not reached ( P>0.05) . Conclusions:In the treatment of MBD, DENOS minimizes nephrotoxicity and has strong AR effect. Hypocalcemia is a common adverse event but is usually mild or moderate and manageable.

Objective:To explore diagnostic value of magnetic resonance apparent diffusion coefficient(ADC)combined with dynamic enhanced magnetic resonance imaging(DCE-MRI)for parotid lymphoma of parotid gland.Methods:Clinical data of 74 patients with tumors of parotid gland who admitted to Hainan Western Central Hospital from September 2021 to September 2023 were selected to carry out retrospective analysis,and they were divided into malignant tumor group(15 cases)and benign tumor group(59 cases)according to the diagnosis of surgical pathology.And then,the benign tumor group was further divided into two subgroups according to the result of surgical pathology,which included pleomorphic adenoma group(35 cases)and"parotid lymphoma of parotid gland"group(24 cases).The differences in ADC values and DCE-MRI parameters(Ve,Kep,Ktrans)were compared between malignant tumors and benign tumors,and between pleomorphic adenoma and parotid lymphoma of parotid gland.The efficacies of ADC values and DCE-MRI parameters in diagnosing malignant tumors were analyzed by means of the receiver operating characteristics(ROC)curve.Results:The ADC value,Ve value and Kep of benign tumor group were respectively(1.17±0.41)×10-3 mm2/s,(0.46±0.15)and(1.56±0.57)min,which were significantly higher than those[0.86±0.19× 103mm2/s,0.35±0.08,and 0.80±0.27 min]of malignant tumor group(t=2.841,2.733,5.004,P＜0.05),respectively.Results of binary logistic regression analysis showed that ADC,Ve and Kep were respectively influence factors on benign and malignant parotid tumors(OR=0.045,0.001,0.004,P＜0.05).ROC curve analysis showed that the AUC values of single ADC,Ve,Kep,and the combination of them were respectively 0.726,0.715,0.903 and 0.915 in diagnosing benign and malignant parotid tumors.There was not significant difference in Ktrans value between pleomorphic adenoma group and"parotid lymphoma of parotid gland"group(P＞0.05).The ADC value and Ve value of"parotid lymphoma of parotid gland"group were lower than those of pleomorphic adenoma group,while Kep value of"parotid lymphoma of parotid gland"group was higher than that of pleomorphic adenoma group,and the differences of them between two groups were significant(t=4.568,4.897,4.805,P＜0.05),respectively.Binary logistic regression analysis showed that ADC,Ve and Kep were influential factors of occurring parotid lymphoma of parotid gland(OR=0.042,0.000,13.452,P＜0.05),respectively.ROC curve analysis showed that the AUC values of single ADC,Ve and Kep,and the combined diagnosis of them were respectively 0.742,0.784,0.763 and 0.959 for parotid lymphoma of parotid gland.Conclusion:Magnetic resonance ADC value and DCE-MRI parameter have favorable value in identifying benign and malignant parotid tumors,and in identifying and diagnosing parotid lymphoma of parotid gland and pleomorphic adenoma,and the combined diagnosis has higher diagnostic value.

Cardiovascular disease is a health hazard to humans and systolic heart failure due to myocardial infarction is a major cause of death.It was previously thought that myocardial cells of the adult mammalian heart possess a limited ability to proliferate and self-renew.However,it has been widely reported that mammals have the ability to regenerate the myocardium,which is restricted to early postnatal life,and that it is strong enough to repair damaged heart tissue.The discovery of myocardial regeneration in neonatal hearts has provided an ideal animal model to investigate the mechanisms that affect myocardial regeneration,and many mechanisms that reverse myocardial cell cycle arrest and promote myocardial regeneration have been revealed.In this article,we review the factors affecting gene expression for myocardial regeneration(e.g.,ncRNAs and transcription factors),myocardial regeneration-related signaling pathways,and the regulation of myocardial regeneration by non-myocardial cells(e.g.,extracellular matrix,immune response,and epicardium)to provide directions for achieving myocardial regeneration after myocardial injury in adult mammals.