Metabolic associated fatty liver disease （MAFLD） has become one of the most prevalent chronic liver diseases worldwide， with the core pathological feature of pathological accumulation of triglycerides in hepatocytes， and as a key rate-limiting enzyme for triglyceride synthesis in the liver， 2-acylglycerol O-acyltransferase 2 （DGAT2） plays a central role in this process. Cell and animal model studies have confirmed that inhibition of DGAT2 can effectively alleviate hepatic steatosis and delay disease progression， and subsequent clinical trials have also shown the potential clinical application value in the treatment of MAFLD. This article systematically reviews the mechanism of action of DGAT2 in the development and progression of MAFLD and comprehensively summarizes the therapeutic strategies targeting DGAT2， including the advances in both monotherapy and drug combinations， in order to provide new ideas for individualized treatment of MAFLD patients.

Coronary heart disease （CHD） has a distinct circadian rhythmicity in its onset， which is closely related to the waxing and waning of qi and blood in the channel passages of the human body. Grounded in the circadian rhythm theory of "correspondence between heaven and humankind"， this paper explores the pathogenic evolution rules of qi-blood disharmony， channel obstruction， interacting as cause and effect with circadian rhythm disorders in CHD. Clinically， CHD can be observed to attack in the early morning， at night， in the afternoon， and at fixed or unfixed circadian intervals. The pathogenesis rhythms at different time nodes can correspondingly reflect the susceptibility tendencies and pathological stress responses of the human body to core pathogeneses such as yang deficiency with cold congelation， yin deficiency with yang floating， qi and yin deficiency， and liver constraint with qi stagnation under specific temporal states. Treatment should be adapted to the season and time， regulating yin and yang in accordance with biological rhythms. It is recommended to regulate qi during the daytime by promoting ascending and dispersing to unblock the channel passages， and select the appropriate timing for administration to harness natural timing. At the Mao （卯） hour， yang ascends while yin descends， and taking medication at this time conforms to the ascending of yang qi. At the Wu （午） hour， the heart meridian is active， and taking medication at this time warms the channel passages and assists heart yang， which can be treated with modified Buzhong Yiqi Decoction （补中益气汤） or Shengyang Yiwei Decoction （升阳益胃汤）. At night， blood should be harmonized， when the channel passages are unblocked through nourishing， restraining， and searching， with Lianmei Decoction （连梅汤） combined with Dahuang Zhechong Pill （大黄䗪虫丸）. Following the temporal rhythm， the focus is put on the transitional time of day and night and the four seasons to treat disease before it arises， resonating and corresponding with the natural rhythm.

Schizophrenia (SZ) stands as a severe psychiatric disorder. This study applied diffusion tensor imaging (DTI) data in conjunction with graph neural networks to distinguish SZ patients from normal controls (NCs) and showcases the superior performance of a graph neural network integrating combined fractional anisotropy and fiber number brain network features, achieving an accuracy of 73.79% in distinguishing SZ patients from NCs. Beyond mere discrimination, our study delved deeper into the advantages of utilizing white matter brain network features for identifying SZ patients through interpretable model analysis and gene expression analysis. These analyses uncovered intricate interrelationships between brain imaging markers and genetic biomarkers, providing novel insights into the neuropathological basis of SZ. In summary, our findings underscore the potential of graph neural networks applied to multimodal DTI data for enhancing SZ detection through an integrated analysis of neuroimaging and genetic features.
Humans ; Schizophrenia/pathology* ; Diffusion Tensor Imaging/methods* ; Male ; Female ; Adult ; Brain/metabolism* ; Young Adult ; Middle Aged ; White Matter/pathology* ; Gene Expression ; Nerve Net/diagnostic imaging* ; Graph Neural Networks

Peptide receptor radionuclide therapy (PRRT) with radiolabeled SSTR2 agonists is a treatment option that is highly effective in controlling metastatic and progressive neuroendocrine tumors (NETs). Previous studies have shown that an SSTR2 agonist combined with albumin binding moiety Evans blue (denoted as ¹⁷⁷Lu-EB-TATE) is characterized by a higher tumor uptake and residence time in preclinical models and in patients with metastatic NETs. This study aimed to enhance the in vivo stability, pharmacokinetics, and pharmacodynamics of ¹⁷⁷Lu-EB-TATE by replacing the maleimide-thiol group with a polyethylene glycol chain, resulting in a novel EB conjugated SSTR2-targeting radiopharmaceutical, ¹⁷⁷Lu-LNC1010, for PRRT. In preclinical studies, ¹⁷⁷Lu-LNC1010 exhibited good stability and SSTR2-binding affinity in AR42J tumor cells and enhanced uptake and prolonged retention in AR42J tumor xenografts. Thereafter, we presented the first-in-human dose escalation study of ¹⁷⁷Lu-LNC1010 in patients with advanced/metastatic NETs. ¹⁷⁷Lu-LNC1010 was well-tolerated by all patients, with minor adverse effects, and exhibited significant uptake and prolonged retention in tumor lesions, with higher tumor radiation doses than those of ¹⁷⁷Lu-EB-TATE. Preliminary PRRT efficacy results showed an 83% disease control rate and a 42% overall response rate after two ¹⁷⁷Lu-LNC1010 treatment cycles. These encouraging findings warrant further investigations through multicenter, prospective, and randomized controlled trials.

Objective:To investigate the value of coronary CTA (CCTA)-based traditional features and radiomics of plaque in the identification of culprit lesions that caused acute myocardial infarction (AMI).Methods:This was a retrospective multicenter study. From July 2016 to November 2023, a total of 344 patients from the Affiliated Hospital of Qingdao University (training cohort, n=184), Shandong Provincial Hospital Affiliated to Shandong First Medical University (validation cohort, n=88) and Qilu Hospital of Shandong University (test cohort, n=72) who received percutaneous coronary intervention (PCI) due to AMI and underwent CCTA within 48 hours of AMI were enrolled. The culprit plaques and non-culprit plaques were identified using a combination of electrocardiogram, CCTA, and angiographic findings. The vessel, plaque location, plaque type, Coronary Artery Disease-Reporting and Data System (CAD-RADS) score, high-risk plaque characteristics, plaque length, plaque volume, and burden were analyzed, and 1 904 radiomics features were extracted for each plaque. The traditional imaging model, the radiomics model, and the combined model were established by using multivariate Logistic regression analysis. The area under the receiver operating characteristic curve (AUC) was used to evaluate the performance of each model in identifying culprit lesions. The DeLong test was used for the comparison of AUC between every two models. The net reclassification index (NRI) was used to evaluate the incremental value of the combined model to the traditional imaging model and the radiomics model. The decision curve analysis (DCA) was used to assess the clinical net benefit of these models. A correlation heatmap was used to evaluate the correlation between the radiomics score and traditional CCTA factors. The interpretable analysis of the decision process of the combined model was performed by the Shapley Additive exPlanations (SHAP). Results:In the validation cohort and the test cohort, the AUC of the traditional imaging model developed by the vessel, plaque type, positive remodeling and CAD-RADS score was 0.898 (95% CI 0.869-0.922) and 0.881 (95% CI 0.848-0.910), respectively. The radiomics model developed by six radiomics features was 0.863 (95% CI 0.831-0.891) and 0.863 (95% CI 0.827-0.864), respectively. The AUC of the combined model was 0.930 (95% CI 0.905-0.950)and 0.919 (95% CI 0.889-0.942), respectively. In the validation cohort and the test cohort, the AUC of the combined model was higher than that of the traditional imaging model ( Z=4.013, 4.272, P<0.001) and that of the radiomics model ( Z=4.819, 3.784, P<0.001), respectively. In the validation cohort, the combined model yielded an NRI of 20.43% (95% CI 10.43%-30.44%, P<0.001) and 20.21% (95% CI 9.62%-30.80%, P<0.001) for identifying culprit lesions compared with the traditional imaging model and the radiomics model, respectively. In the test cohort, the combined model yielded an NRI of 28.05% (95% CI 16.72%-39.38%, P<0.001) and 23.57% (95% CI 13.58%-33.56%, P<0.001) for identifying culprit lesions compared with the traditional imaging model and the radiomics model, respectively. DCA showed the combined model had the highest clinical net benefit. The correlation heatmap showed the radiomics score was not correlated or only weakly correlated with traditional CCTA factors. SHAP indicated the radiomics and CAD-RADS score contributed significantly to the model. Conclusion:The CCTA-based traditional features and radiomics of plaque have favorable performance for the identification of culprit plaques in patients with AMI.

Objective:To investigate the surgical efficacy of the modified areolar triangular dermal-glandular composite flap in correcting moderate to severe congenital nipple inversion.Methods:A retrospective analysis was performed on clinical data collected from patients with moderate to severe congenital nipple inversion treated at the Department of Plastic and Aesthetic Surgery, the First Affiliated Hospital of Hainan Medical University, between August 2018 and January 2023. Patients were divided into two groups based on the month of admission: the control group, treated with conventional areolar triangular flap, and the observation group, treated with the modified areolar triangular dermal-glandular composite flap. Postoperatively, nipple appearance, maintenance of nipple height, and incidence of complications were assessed in both groups. At six months after surgery, surgeons evaluated the therapeutic efficacy as good, fair, or poor; the total effective rate was calculated as (number of good + fair cases) / total number of cases ×100%. Patient satisfaction was rated as very satisfied, satisfied, fair, or dissatisfied; the satisfaction rate was calculated as (number of very satisfied + satisfied cases) / total number of cases ×100%. Nipple height (measured as the distance from the areolar plane to the apex of the nipple) was recorded before and after surgery. Measurement data were analyzed using the t-test, and categorical data were analyzed using the χ2 test. A P-value < 0.05 was considered statistically significant. Results:A total of 60 female patients (94 sides) were included in the study. In the control group (28 patients), the mean age was 28.5±5.2 years; 11 cases were unilateral, and 17 cases were bilateral; 22 sides were classified as moderate, and 23 sides as severe. In the observation group (32 patients), the mean age was 29.1±4.8 years; 15 cases were unilateral, and 17 cases were bilateral; 23 sides were moderate, and 26 sides were severe. There were no statistically significant differences between the two groups regarding age, severity of nipple inversion, or the ratio of unilateral to bilateral nipple inversion (all P>0.05). Postoperative follow-up lasted 6 to 15 months, with 28 patients (43 sides) in the observation group and 24 patients (39 sides) in the control group completing follow-up. No severe complications, such as nipple necrosis, occurred in either group, and nipple morphology and appearance were generally normal. The total effective rates based on surgeons' efficacy evaluations were 94.87% (37/39) in the control group and 100.00% (43/43) in the observation group, with no statistically significant difference ( P>0.05). Patient satisfaction rates were 76.92% (30/39) in the control group and 93.02% (40/43) in the observation group, showing a statistically significant difference ( P<0.05). There was no significant difference in preoperative nipple height between the two groups [-3.2±1.1 mm vs. -3.5±0.9 mm, P>0.05]. At 6 months post-surgery, nipple height in the observation group was significantly greater than in the control group [10.9±2.0 mm vs. 9.5±1.9 mm, P < 0.05]. Conclusion:The modified triangular dermal-glandular composite flap technique for correcting nipple inversion is relatively simple, demonstrates low long-term recurrence rates, and provides stable maintenance of nipple height. It is one of the preferred methods for treating moderate to severe congenital nipple inversion.

Objective To compare the efficacy and safety of computed tomography (CT)-guided percutaneous versus electromagnetic navigation bronchoscopy (ENB)-guided microwave ablation (MWA) for the treatment of pulmonary nodules. Methods A retrospective analysis was conducted on the data of high-risk pulmonary nodule patients who underwent MWA at the Nanjing Drum Tower Hospital between 2022 and 2023. The pathological diagnosis rate, complications, and progression-free survival (PFS) rate were compared between the CT group and the ENB group. Results There were 61 patients in the CT group, including 30 males and 31 females, with an average age of (67.22±9.13) years. There were 53 patients in the ENB group, including 29 males and 24 females, with an average age of (65.29±13.76) years. The pathological diagnosis rate in the CT group was slightly higher than that in the ENB group (88.52% vs. 71.69%, P=0.03). However, the ENB group exhibited a lower incidence of perioperative complications, including pneumothorax (16.39% vs. 3.77%, P=0.03), hemoptysis (19.67% vs. 5.66%, P=0.05), and pain (22.95% vs. 7.55%, P=0.03). There was no statistically significant difference in PFS rate between the two groups [HR=1.17, 95%CI (0.23, 5.81), P=0.85]. Conclusion Both CT-guided and ENB-guided MWA are effective treatment modalities for high-risk pulmonary nodules.

Objective:To investigate the clinical characteristics and prognosis of T-lymphoblastic lymphoma (T-LBL).Methods:A retrospective case series study was conducted. Clinical data of patients diagnosed with T-LBL at the Affiliated Hospital of Jining Medical University from January 2013 to March 2023 were retrospectively analyzed, and their clinical characteristics and prognosis were statistically analyzed.Results:A total of 22 T-LBL patients were included. Among them, there were 19 males (86.4%) and 3 females (13.6%), and the median age at onset was 19.5 (15, 28) years old. Based on Ann Arbor staging, 3 cases (13.6%) were classified as stage Ⅰ-Ⅱ, while 19 cases (86.4%) were stage Ⅲ-Ⅳ; 10 cases (45.5%) presented with B symptoms, 12 cases (54.5%) without B symptoms; 16 cases (72.7%) showed elevated lactic dehydrogenase (LDH) level. At onset, 7 patients (31.8%) had mediastinal masses, 3 patients (13.6%) had central nervous system involvement, and 17 patients (77.3%) had bone marrow involvement. The overall response rate (ORR) and complete remission rate among the 22 patients were 81.82% (18/22) and 31.82% (7/22), respectively. The ORR was 84.21% (16/19) in 19 patients treated with ALL-like regimens. Among 3 patients treated with NHL-like regimens, 1 case achieved complete remission and 1 case achieved partial remission. Seven patients received allogeneic hematopoietic stem cell transplantation, with a median overall survival (OS) time of 22 months; the median OS time of patients without allogeneic hematopoietic stem cell transplantation was 14 months. The 3-year OS rates in the allogeneic hematopoietic stem cell transplantation group and group without allogeneic hematopoietic stem cell transplantation were 64.30% and 16.00%, and the difference in OS between the two groups was statistically significant ( P = 0.043). Two patients with disease progression prior to transplantation died of multidrug-resistant bacterial infections after transplantation. Conclusions:T-LBL is rare, and it is a highly aggressive tumor that predominantly occurs in adolescent males. Allogeneic hematopoietic stem cell transplantation can prolong OS, reduce relapse and improve the prognosis of patients.

Objective To explore the risk factors for postoperative secondary hydrocephalus in patients with severe craniocerebral injury and construct a nomogram prediction model.Methods A total of 360 patients with severe craniocerebral injury were selected as the study subjects,and divided into hydrocephalus group(n=34)and non-hydrocephalus group(n=326)based on the occurrence of postoperative secondary hydrocephalus.Logistic regression analysis was used to screen for risk fac-tors of postoperative secondary hydrocephalus.A nomogram model for predicting postoperative second-ary hydrocephalus in patients with severe craniocerebral injury was constructed based on the identified risk factors,and its predictive performance was validated.Results Among the 360 patients,34 de-veloped secondary hydrocephalus after surgery,with an incidence rate of 9.44％(34/360).Logistic regression analysis revealed that intracranial infection,ventricular hemorrhage,midline shift ≥12 mm,preoperative Glasgow Coma Scale(GCS)score of 3 to 5,decompressive craniectomy and dura mater o-pening were independent risk factors for postoperative secondary hydrocephalus in patients with severe traumatic brain injury(P＜0.05).The concordance index of the nomogram model constructed based on these risk factors was 0.874,and the area under the curve was 0.831.Conclusion The nomogram model constructed in this study based on factors such as intracranial infection,ventricular hemorrhage,midline shift,preoperative GCS score,decompressive craniectomy and dura mater opening,effectively predicts risk of postoperative secondary hydrocephalus in patients with severe traumatic brain injury.This model has clinical significance for early prevention and treatment.

Objective:To investigate the value of coronary CTA (CCTA)-based traditional features and radiomics of plaque in the identification of culprit lesions that caused acute myocardial infarction (AMI).Methods:This was a retrospective multicenter study. From July 2016 to November 2023, a total of 344 patients from the Affiliated Hospital of Qingdao University (training cohort, n=184), Shandong Provincial Hospital Affiliated to Shandong First Medical University (validation cohort, n=88) and Qilu Hospital of Shandong University (test cohort, n=72) who received percutaneous coronary intervention (PCI) due to AMI and underwent CCTA within 48 hours of AMI were enrolled. The culprit plaques and non-culprit plaques were identified using a combination of electrocardiogram, CCTA, and angiographic findings. The vessel, plaque location, plaque type, Coronary Artery Disease-Reporting and Data System (CAD-RADS) score, high-risk plaque characteristics, plaque length, plaque volume, and burden were analyzed, and 1 904 radiomics features were extracted for each plaque. The traditional imaging model, the radiomics model, and the combined model were established by using multivariate Logistic regression analysis. The area under the receiver operating characteristic curve (AUC) was used to evaluate the performance of each model in identifying culprit lesions. The DeLong test was used for the comparison of AUC between every two models. The net reclassification index (NRI) was used to evaluate the incremental value of the combined model to the traditional imaging model and the radiomics model. The decision curve analysis (DCA) was used to assess the clinical net benefit of these models. A correlation heatmap was used to evaluate the correlation between the radiomics score and traditional CCTA factors. The interpretable analysis of the decision process of the combined model was performed by the Shapley Additive exPlanations (SHAP). Results:In the validation cohort and the test cohort, the AUC of the traditional imaging model developed by the vessel, plaque type, positive remodeling and CAD-RADS score was 0.898 (95% CI 0.869-0.922) and 0.881 (95% CI 0.848-0.910), respectively. The radiomics model developed by six radiomics features was 0.863 (95% CI 0.831-0.891) and 0.863 (95% CI 0.827-0.864), respectively. The AUC of the combined model was 0.930 (95% CI 0.905-0.950)and 0.919 (95% CI 0.889-0.942), respectively. In the validation cohort and the test cohort, the AUC of the combined model was higher than that of the traditional imaging model ( Z=4.013, 4.272, P<0.001) and that of the radiomics model ( Z=4.819, 3.784, P<0.001), respectively. In the validation cohort, the combined model yielded an NRI of 20.43% (95% CI 10.43%-30.44%, P<0.001) and 20.21% (95% CI 9.62%-30.80%, P<0.001) for identifying culprit lesions compared with the traditional imaging model and the radiomics model, respectively. In the test cohort, the combined model yielded an NRI of 28.05% (95% CI 16.72%-39.38%, P<0.001) and 23.57% (95% CI 13.58%-33.56%, P<0.001) for identifying culprit lesions compared with the traditional imaging model and the radiomics model, respectively. DCA showed the combined model had the highest clinical net benefit. The correlation heatmap showed the radiomics score was not correlated or only weakly correlated with traditional CCTA factors. SHAP indicated the radiomics and CAD-RADS score contributed significantly to the model. Conclusion:The CCTA-based traditional features and radiomics of plaque have favorable performance for the identification of culprit plaques in patients with AMI.