BackgroundSchizophrenia is a complex， chronic and severe mental disorder， and the pathogenesis of which has not been fully elucidated. The abnormalities in lipid metabolism and circulating metabolomes have already been implicated in the pathophysiology of schizophrenia. However， available studies have mainly focused on a few liposomes and circulating metabolites， failing to systematically reveal the mediating role of circulating metabolomes in the causal relationship between liposomes and schizophrenia. ObjectiveTo uncover mediating role of circulating metabolomes in the causal relationship between liposomes and schizophrenia， thereby providing biomarkers and potential therapeutic targets for the prevention and treatment of schizophrenia. MethodsData from Genome-Wide Association Studies （GWAS） were analyzed， taking data on 179 liposomes as exposure variables， data on 123 circulating metabolites as intermediate variables， and data on schizophrenia as outcome variable. A two-step， two-sample Mendelian randomization analysis was conducted using the inverse-variance weighted （IVW）， MR- Egger， Weighted median， and Weighted mode methods to study the causal relationship of liposomes with schizophrenia and the mediating role of circulating metabolomes in the relationship. ResultsIVW model identified 8 lipids associated with schizophrenia without reverse causality. There were 5 circulating metabolomes strongly associated with schizophrenia. Acetate played a significant mediating role in the causal relationship between phosphatidylinositol （18：0_18：2） and schizophrenia （P=0.023， 95% CI： 0.036~0.532）， accounting for 28.4% of the causal relationship. ConclusionThis study demonstrates a causal relationship between liposomes and schizophrenia， with phosphatidylinositol being a risk factor in the progression of schizophrenia， and acetate playing a mediating role in this process. ［Fund by National Natural Science Foundation of China General Program （number， 82271546）； Shanxi Merit Funding for Overseas Students Sci-Tech Activities Project （number， 20240041）； Shanxi Province Science and Technology Innovation Leading Talent Team Project （number， 202304051001049）； Shanxi Scientific Research Foundation for the Returned Overseas Chinese Scholars （number， 2022-190）； "Six Measures for Health Care Prosperity" Specialized Research Program （number， Y2024008）］

Testicular histology based on testicular biopsy is an important factor for determining appropriate testicular sperm extraction surgery and predicting sperm retrieval outcomes in patients with azoospermia. Therefore, we developed a deep learning (DL) model to establish the associations between testicular grayscale ultrasound images and testicular histology. We retrospectively included two-dimensional testicular grayscale ultrasound from patients with azoospermia (353 men with 4357 images between July 2017 and December 2021 in The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China) to develop a DL model. We obtained testicular histology during conventional testicular sperm extraction. Our DL model was trained based on ultrasound images or fusion data (ultrasound images fused with the corresponding testicular volume) to distinguish spermatozoa presence in pathology (SPP) and spermatozoa absence in pathology (SAP) and to classify maturation arrest (MA) and Sertoli cell-only syndrome (SCOS) in patients with SAP. Areas under the receiver operating characteristic curve (AUCs), accuracy, sensitivity, and specificity were used to analyze model performance. DL based on images achieved an AUC of 0.922 (95% confidence interval [CI]: 0.908-0.935), a sensitivity of 80.9%, a specificity of 84.6%, and an accuracy of 83.5% in predicting SPP (including normal spermatogenesis and hypospermatogenesis) and SAP (including MA and SCOS). In the identification of SCOS and MA, DL on fusion data yielded better diagnostic performance with an AUC of 0.979 (95% CI: 0.969-0.989), a sensitivity of 89.7%, a specificity of 97.1%, and an accuracy of 92.1%. Our study provides a noninvasive method to predict testicular histology for patients with azoospermia, which would avoid unnecessary testicular biopsy.
Humans ; Male ; Azoospermia/diagnostic imaging* ; Deep Learning ; Testis/pathology* ; Retrospective Studies ; Adult ; Ultrasonography/methods* ; Sperm Retrieval ; Sertoli Cell-Only Syndrome/diagnostic imaging*

OBJECTIVES: To assess the preliminary efficacy and safety of a dose-intensified C5VD regimen (cisplatin, 5-fluorouracil, vincristine, and doxorubicin) in children with locally advanced hepatoblastoma. METHODS: This prospective study enrolled 24 children with newly diagnosed, locally advanced hepatoblastoma who received the dose-intensified C5VD regimen at Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, and Shanghai Children's Hospital between January 2020 and December 2023. Clinical characteristics, treatment outcomes, and chemotherapy-related toxicities were analyzed. RESULTS: Of the 24 patients, 13 were male and 11 were female, with a median age at diagnosis of 18.7 months (range: 3.5-79.4 months). All patients achieved complete macroscopic resection of hepatic lesions without liver transplantation. Serum alpha-fetoprotein levels decreased significantly after two chemotherapy cycles. During a median follow-up of 38.4 months (range: 15.8-50.7 months), all patients maintained continuous complete remission, with 3-year event-free survival and overall survival rates of 100%. Across 144 chemotherapy cycles, the incidence rates of grade 3-4 neutropenia, thrombocytopenia, and infections were 97%, 77%, and 71%, respectively; no treatment-related deaths occurred. Notably, 5 patients (21%) developed Brock grade ≥3 hearing loss, of whom 1 required a hearing aid. CONCLUSIONS The dose-intensified C5VD regimen demonstrates significant efficacy with an overall favorable safety profile in the treatment of newly diagnosed, locally advanced pediatric hepatoblastoma. Grade 3-4 myelosuppression and infection are the predominant toxicities. However, high‑dose cisplatin-induced ototoxicity remains a concern, highlighting the need for improved otoprotective strategies.
Humans ; Hepatoblastoma/pathology* ; Male ; Female ; Infant ; Liver Neoplasms/pathology* ; Antineoplastic Combined Chemotherapy Protocols/therapeutic use* ; Child, Preschool ; Prospective Studies ; Doxorubicin/adverse effects* ; Child ; Cisplatin/adverse effects* ; Vincristine/adverse effects* ; Fluorouracil/adverse effects*

Magnetic stimulation has made significant strides in the treatment of psychiatric disorders. Nonetheless, current magnetic stimulation techniques lack the precision to accurately modulate specific nuclei and cannot realize deep brain magnetic stimulation. To address this, we utilized superparamagnetic iron oxide nanoparticles as mediators to achieve precise targeting and penetration. We investigated the effects of magnetic fields with varying frequencies on neuronal activity and compared the activation effects on neurons using a 10-Hz precise magneto-stimulation system (pMSS) with repetitive transcranial magnetic stimulation in mice. Oxytocin levels, dendritic morphology and density, and mouse behavior were measured before and after pMSS intervention. Our findings suggest that pMSS can activate oxytocinergic neurons, leading to upregulation of oxytocin secretion and neurite outgrowth. As a result, sociability was rapidly improved after a one-week pMSS treatment regimen. These results demonstrate a promising magneto-stimulation method for regulating neuronal activity in deep brain nuclei and provide a promising therapeutic approach for autism spectrum disorder.
Animals ; Autism Spectrum Disorder/physiopathology* ; Paraventricular Hypothalamic Nucleus/physiology* ; Disease Models, Animal ; Transcranial Magnetic Stimulation/methods* ; Male ; Social Behavior ; Mice ; Oxytocin/metabolism* ; Mice, Inbred C57BL ; Neurons/physiology*

Objective : To investigate the effects of branched-chain amino acid(BCAA) on the differentiation of 3T3-L1 preadipocytes and its potential mechanism. Methods : 3T3-L1 preadipocytes were divided into the Control, differentiation medium(DM), low-concentration BCAA, and high-concentration BCAA groups. A CCK-8 assay was utilized to evaluate pre-adipocyte survival under various BCAA concentrations. Oil-red O staining was used to observe the formation of lipid droplets in adipocytes. Intracellular triglyceride(TG) and total cholesterol(TC) were detected by enzymatic method. RT-qPCR and Western blot were used to detect the mRNA and protein expression of Stat3 and adipocyte differentiation-related genes. Results : CCK-8 results showed that the viability of 3T3-L1 cells was not affected when the BCAA concentration was ≤ 10 mmol/L. Compared with the DM group, the low-concentration BCAA groups(0.5 and 1.0 mmol/L) had significantly larger intracellular lipid droplets, increased number of lipid droplets, and elevated levels of the intracellular TC(0.88vs0.68 mmol/g; 0.83vs0.68 mmol/g,P<0.01) and TG(0.77vs0.40 mmol/g; 0.62vs0.40 mmol/g,P<0.01). Nevertheless, the cell differentiation in the high-concentration group(5.0 and 10.0 mmol/L) significantly decreased compared with that in the DM group. Further, levels of PPARγ, C/EBPα, Adiponectin, and FABP4 mRNA and protein expression significantly increased in the low-concentration group, but significantly decreased in the high-concentration group than that in the DM group(P<0.01). In addition, low concentrations of BCAA promoted stat3 phosphorylation, while high concentrations inhibited its phosphorylation(P<0.01). Conclusion BCAA have a dual role in regulating the differentiation of preadipocytes through Stat3, i.e. low concentrations of BCAA induce cell differentiation by promoting Stat3 phosphorylation; whereas high concentrations of BCAA inhibit Stat3 phosphorylation and cell differentiation.

Objective:To observe and evaluate the clinical efficacy and safety of albumin-bound paclitaxel as first-line treatment for patients with advanced pancreatic cancer in China, and to explore the prognosis-related molecules in pancreatic cancer based on next-generation sequencing (NGS) of tumor tissues.Methods:From December 2018 to December 2020, patients with locally advanced or metastatic pancreatic cancer were recruited to accept albumin-bound paclitaxel as first-line treatment in the oncology departments of 24 hospitals in East China. The primary endpoints were overall survival (OS) and treatment related adverse events, and the secondary endpoint was progression-free survival (PFS). Adverse effects were graded using Common Terminology Criteria for Adverse Events 5.0 (CTCAE 5.0). NGS sequencing on the primary or metastatic tissue samples of pancreatic cancer obtained through surgical resection or biopsy was performed.Results:This study recruited 229 patients, including 70 patients with locally advanced pancreatic cancer (LAPC) and 159 patients with metastatic pancreatic cancer (mPC). The disease control rate was 79.9% and the objective response rate is 36.3%.The common adverse effects during treatment were anaemia (159 cases), leucopenia (170 cases), neutropenia (169 cases), increased aminotransferases (110 cases), and thrombocytopenia (95 cases), and the incidence of grade 3-4 neutropenia is 12.2% (28/229). The median follow-up time was 21.2 months (95% CI: 18.5-23.1 months). The median PFS (mPFS) was 5.3 months (95% CI: 4.37-4.07 months) and the median OS (mOS) was 11.2 months (95% CI: 9.5-12.9 months). The mPFS of patients with LAPC was 7.4 months (95% CI: 6.6-11.2 months), and their mOS was 15.5 months (95% CI: 12.6-NA months). The mPFS of patients with mPC was 3.9 months (95% CI: 3.4-5.1 months), and their mOS was 9.3 months (95% CI: 8.0-10.8 months). Multivariate Cox regression analysis showed that clinical stage ( HR=1.47, 95% CI: 1.06-2.04), primary tumor site ( HR=0.64, 95% CI: 0.48-0.86), Eastern Cooperative Oncology Group Performance Status (ECOG PS) score ( HR=2.66, 95% CI: 1.53-4.65), and whether to combine radiotherapy ( HR=0.65, 95% CI: 0.42-1.00) were independent influencing factors for the PFS of these patients. The primary tumor site ( HR=0.68, 95% CI: 0.48-0.95), ECOG score ( HR=5.82, 95% CI: 3.14-10.82), and whether to combine radiotherapy ( HR=0.58, 95% CI: 0.35-0.96) were independent influencing factors of the OS of these patients. The most frequent gene mutations in these advanced stage pancreatic patients were KRAS (89.66%), TP53 (77.01%), CDKN2A (32.18%), and SMAD4 (21.84%) by NGS of tumor tissues from 87 pancreatic cancer patients with sufficient specimens. Further analysis revealed that mutations in CDKN2B, PTEN, FGF6, and RBBP8 genes were significantly associated with an increased risk of death ( P＜0.05). Conclusion:Albumin-bound paclitaxel as first-line treatment demonstrated feasible anti-tumor efficacy and manageable safety for patients with advanced pancreatic cancer in China.

Objective:To observe and evaluate the clinical efficacy and safety of albumin-bound paclitaxel as first-line treatment for patients with advanced pancreatic cancer in China, and to explore the prognosis-related molecules in pancreatic cancer based on next-generation sequencing (NGS) of tumor tissues.Methods:From December 2018 to December 2020, patients with locally advanced or metastatic pancreatic cancer were recruited to accept albumin-bound paclitaxel as first-line treatment in the oncology departments of 24 hospitals in East China. The primary endpoints were overall survival (OS) and treatment related adverse events, and the secondary endpoint was progression-free survival (PFS). Adverse effects were graded using Common Terminology Criteria for Adverse Events 5.0 (CTCAE 5.0). NGS sequencing on the primary or metastatic tissue samples of pancreatic cancer obtained through surgical resection or biopsy was performed.Results:This study recruited 229 patients, including 70 patients with locally advanced pancreatic cancer (LAPC) and 159 patients with metastatic pancreatic cancer (mPC). The disease control rate was 79.9% and the objective response rate is 36.3%.The common adverse effects during treatment were anaemia (159 cases), leucopenia (170 cases), neutropenia (169 cases), increased aminotransferases (110 cases), and thrombocytopenia (95 cases), and the incidence of grade 3-4 neutropenia is 12.2% (28/229). The median follow-up time was 21.2 months (95% CI: 18.5-23.1 months). The median PFS (mPFS) was 5.3 months (95% CI: 4.37-4.07 months) and the median OS (mOS) was 11.2 months (95% CI: 9.5-12.9 months). The mPFS of patients with LAPC was 7.4 months (95% CI: 6.6-11.2 months), and their mOS was 15.5 months (95% CI: 12.6-NA months). The mPFS of patients with mPC was 3.9 months (95% CI: 3.4-5.1 months), and their mOS was 9.3 months (95% CI: 8.0-10.8 months). Multivariate Cox regression analysis showed that clinical stage ( HR=1.47, 95% CI: 1.06-2.04), primary tumor site ( HR=0.64, 95% CI: 0.48-0.86), Eastern Cooperative Oncology Group Performance Status (ECOG PS) score ( HR=2.66, 95% CI: 1.53-4.65), and whether to combine radiotherapy ( HR=0.65, 95% CI: 0.42-1.00) were independent influencing factors for the PFS of these patients. The primary tumor site ( HR=0.68, 95% CI: 0.48-0.95), ECOG score ( HR=5.82, 95% CI: 3.14-10.82), and whether to combine radiotherapy ( HR=0.58, 95% CI: 0.35-0.96) were independent influencing factors of the OS of these patients. The most frequent gene mutations in these advanced stage pancreatic patients were KRAS (89.66%), TP53 (77.01%), CDKN2A (32.18%), and SMAD4 (21.84%) by NGS of tumor tissues from 87 pancreatic cancer patients with sufficient specimens. Further analysis revealed that mutations in CDKN2B, PTEN, FGF6, and RBBP8 genes were significantly associated with an increased risk of death ( P＜0.05). Conclusion:Albumin-bound paclitaxel as first-line treatment demonstrated feasible anti-tumor efficacy and manageable safety for patients with advanced pancreatic cancer in China.

Objective To investigate the effect of reducing the image-guided X-ray field area on the accuracy of Cyberknife radiotherapy,in order to provide a feasible method for achieving patient protection optimization.Methods Firstly,the spine-tracking,fiducial tracking and lung-tracking radiotherapy plans were formulated for the simulation phantom,and then image-guided full-field localization and position pre-setting were carried out for the simulation phantom,and the spine-tracking,fiducial tracking and lung-tracking radiotherapy plans were executed for the simulation phantom using a reduced lead block field area,respectively.Secondly,the radiotherapy accuracy of different radiotherapy plans was verified by end-to-end(E2E)software using new EBT films of the same batch as the base film.Finally,the changes of the simulation phantom were compared in terms of position pre-presetting error,radiotherapy accuracy and lead block field area.Results The spine-tracking and fiducial tracking radiotherapy plans had the translation errors not higher than 0.1 mm and the rotation errors not higher than 0.1°,which were comparable to the fluctuated conventional Cyberknife image-guided locating;the spine-tracking,fiducial tracking and lung-tracking radiotherapy plans had the lead block field radiotherapy accu-racies being 0.71,0.18 and 1.06 mm,respectively,which met the clinical requirements for Cyberknife radiotherapy;the lead block field areas of the spine-tracking,fiducial tracking and lung-tracking radiotherapy plans were reduced to 19.75％,29.28％and 12.71％of the full field area,respectively,and the efficacy for field area optimization was significant.Conclusion It's feasible to involve a reduced image-guided X-ray field area in Cyberknife radiotherapy,which contributes to optimizing radiation protection for the patients.[Chinese Medical Equipment Journal,2024,45(11):49-53]

Identifying the compound formulae-related xenobiotics in bio-samples is full of challenges.Conventional strategies always exhibit the insufficiencies in overall coverage,analytical efficiency,and degree of automation,and the results highly rely on the personal knowledge and experience.The goal of this work was to establish a software-aided approach,by integrating ultra-high performance liquid chromatography/ion-mobility quadrupole time-of-flight mass spectrometry(UHPLC/IM-QTOF-MS)and in-house high-definition MS2 library,to enhance the identification of prototypes and metabolites of the compound formulae in vivo,taking Sishen formula(SSF)as a template.Seven different MS2 acquisition methods were compared,which demonstrated the potency of a hybrid scan approach(namely high-definition data-independent/data-dependent acquisition(HDDIDDA))in the identification precision,MS1 coverage,and MS2 spectra quality.The HDDIDDA data for 55 reference compounds,four component drugs,and SSF,together with the rat bio-samples(e.g.,plasma,urine,feces,liver,and kidney),were acquired.Based on the UNIFI? platform(Waters),the efficient data processing workflows were estab-lished by combining mass defect filtering(MDF)-induced classification,diagnostic product ions(DPIs),and neutral loss filtering(NLF)-dominated structural confirmation.The high-definition MS2 spectral li-braries,dubbed in vitro-SSF and in vivo-SSF,were elaborated,enabling the efficient and automatic identification of SSF-associated xenobiotics in diverse rat bio-samples.Consequently,118 prototypes and 206 metabolites of SSF were identified,with the identification rate reaching 80.51％and 79.61％,respectively.The metabolic pathways mainly involved the oxidation,reduction,hydrolysis,sulfation,methylation,demethylation,acetylation,glucuronidation,and the combined reactions.Conclusively,the proposed strategy can drive the identification of compound formulae-related xenobiotics in vivo in an intelligent manner.