MRI-based radiomics model to preoperatively predict mesenchymal transition subtype in high-grade serous ovarian cancer

AIM

To develop a magnetic resonance imaging (MRI)-based radiomics model for the preoperative identification of mesenchymal transition (MT) subtype in high-grade serous ovarian cancer (HGSOC).

MATERIALS AND METHODS

One hundred and eighty-nine patients with histopathologically confirmed HGSOC were enrolled retrospectively. Among the included patients, 55 patients were determined as the MT subtype and the remaining 134 were non-MT subtype. After extracting a total of 204 features from T2-weighted imaging (T2WI) and contrast-enhanced (CE)-T1WI images, the Mann-Whitney U-test, Spearman correlation test, and Boruta algorithm were adopted to select the optimal feature set. Three classifiers, including logistic regression (LR), support vector machine (SVM), and random forest (RF), were trained to develop radiomics models. The performance of established models was evaluated from three aspects: discrimination, calibration, and clinical utility.

RESULTS

Seven radiomics features relevant to MT subtypes were selected to build the radiomics models. The model based on the RF algorithm showed the best performance in predicting MT subtype, with areas under the curves (AUCs) of 0.866 (95 % confidence interval [CI]: 0.797-0.936) and 0.852 (95 % CI: 0.736-0.967) in the training and testing cohorts, respectively. The calibration curves, supported with Brier scores, indicated very good consistency between observation and prediction. Decision curve analysis (DCA) showed that the RF-based model could provide more net benefit, which suggested favorable utility in clinical application.

CONCLUSION

The RF-based radiomics model provided accurate identification of MT from the non-MT subtype and may help facilitate personalised management of HGSOC.

Childhood maltreatment, parenting style and anxiety in Chinese youths: A case-control study

BACKGROUND

Although evidence in supporting the associations between childhood maltreatment (CM), parenting style and anxiety in children and adolescents exists, few high-quality analytical epidemiological studies which focusing on clinically diagnosed anxiety disorders (AD) had been published.

OBJECTIVE

The aim of this study was to further corroborate the associations between CM, parenting style, and AD in a large representative sample of Chinese children and adolescents.

PARTICIPANTS AND SETTING

Study subjects were derived from the Mental Health Survey for Children and Adolescents in Yunnan (MHSCAY), a population-based cross-sectional program.

METHODS

Individually matched case-control study design was adopted. Univariate and multivariate conditional binary logistic regression models were used to estimate the associations between CM, parenting style and AD. Dose-response trends were estimated using the Cochran-Armitage Chi-square test. A series of stratified analyses were conducted to explore effect modification on exposure-outcome association by some important features.

RESULTS

Totally we screened out 202 cases and 404 matched controls, with an age mean of 14.43 years. Conditional logistic regression models revealed that EA and a higher level of parental over-protection were significantly associated with increased risk of AD, with adjusted ORs of 3.39 (95 % CI: 2.07-5.56) and 1.93 (95 % CI: 1.28-2.90). Stratified analysis identified noticeable effect modification by sex, age, and whether the only child in the family.

CONCLUSIONS

Major findings of this study suggested that children and adolescents who had experienced EA or raised up by over-protective parents are at increased risk of AD. Targeted intervention measures should be developed and implemented for these high-risk youths.

Application of machine learning techniques in the diagnostic approach of PTSD using MRI neuroimaging data: A systematic review

Background

At present, the diagnosis of post-traumatic stress disorder（PTSD） mainly relies on clinical symptoms and psychological scales, and finding objective indicators that are helpful for diagnosis has always been a challenge in clinical practice and academic research. Neuroimaging is a useful and powerful tool for discovering the biomarkers of PTSD,especially functional MRI (fMRI), structural MRI (sMRI) and Diffusion Weighted Imaging（DTI）are the most commonly used technologies, which can provide multiple perspectives on brain function, structure and its connectivity. Machine learning (ML) is an emerging and potentially powerful method, which has aroused people's interest because it is used together with neuroimaging data to define brain structural and functional abnormalities related to diseases, and identify phenotypes, such as helping physicians make early diagnosis.

Objectives

According to the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) declaration, a systematic review was conducted to assess its accuracy in distinguishing between PTSD patients, TEHC(Trauma-Exposed Healthy Controls), and HC(healthy controls).

Methods

We searched PubMed, Embase, and Web of Science using common words for ML methods and PTSD until June 2023, with no language or time limits. This review includes 13 studies, with sensitivity, specificity, and accuracy taken from each publication or acquired directly from the authors.

Results

All ML techniques have an diagnostic accuracy rate above 70%，and support vector machine（SVM） are the most commonly used techniques. This series of studies has revealed significant neurobiological differences in key brain regions among individuals with PTSD, TEHC, and HC. The connectivity patterns of regions such as the Insula and Amygdala hold particular significance in distinguishing these groups. TEHC exhibits more normal connectivity patterns compared to PTSD, providing valuable insights for the application of machine learning in PTSD diagnosis.

Conclusion

In contrast to any currently available assessment and clinical diagnosis, ML techniques can be used as an effective and non-invasive support for early identification and detection of patients as well as for early screening of high-risk populations.

Effects of manganese glycine on eggshell quality, eggshell ultrastructure, and elemental deposition in aged laying hens

Poor eggshell quality of eggs laid by aged laying hens is the major problem affecting the length of the rearing period in the laying hen industry. Trace elements are required and play vital roles in the eggshell quality of laying hens. Appropriate dose of organic microelements is environmentally friendly and sufficient to satisfy the needs of hens because of their greater bioavailability and lower excretion than inorganic forms. The aim of this experiment was to investigate the effects of manganese (Mn) glycine (MG) on eggshell quality, elemental deposition, and eggshell ultrastructure in aged laying hens. A total of 720 Hy-Line Brown hens 70 weeks old were assigned equally to four groups with six replicates of 30 birds each. The hens were fed basal diets (without Mn supplementation) supplemented with 120 mg/kg of Mn from manganese sulfate monohydrate (MSM), or 40, 80, or 120 mg/kg Mn from MG for 12 weeks. Dietary supplementation with 80 mg/kg Mn from MG resulted in the greatest eggshell strength after 6 weeks of treatment (P = 0.047), and in greater eggshell strength than observed in the MSM control after 12 weeks of treatment (P = 0.025). After 12 weeks of treatment, the eggs of hens in the MG groups showed lower mammillary layer thickness in the blunt end, equator, and acute end than observed in the MSM control group (P < 0.001). With the exception of the blunt ends of eggs from hens in the 120 mg/kg MG group, the eggs of hens in the MG groups, compared with the MSM control group, exhibited a lower mammillary layer ratio, and greater palisade layer ratio and effective layer ratio in the blunt end, equator, and acute end (P < 0.001). Dietary supplementation with 80 mg/kg Mn from MG, compared with the MSM control and 40 and 120 mg/kg MG, resulted in the greatest palisade layer thickness and effective layer thickness, and the lowest mammillary layer thickness in the equator (P < 0.001, P = 0.001, P < 0.001, respectively). Furthermore, supplementation with 80 mg/kg Mn from MG exhibited the greatest ratio of the palisade layer and effective layer, and the lowest mammillary layer ratio in the blunt end and equator (all P < 0.001). The Mn content of eggshells in hens-fed diets supplemented with 80 and 120 mg/kg Mn from MG was greater than that in the MSM control and 40 mg/kg MG groups (P = 0.035). Dietary supplementation with 80 or 120 mg/kg Mn from MG resulted in greater tibia Mn content than observed in the 40 mg/kg MG group (P = 0.019), and greater yolk Mn content than observed in the 40 mg/kg MG and MSM control groups (P = 0.018). In conclusion, dietary supplementation with 80 mg/kg Mn from MG, compared with the MSM control (120 mg/kg Mn), may increase the deposition efficiency of Mn, alter eggshell elemental composition, improve eggshell ultrastructure, and enhance eggshell strength in aged laying hens.

Photonic time-delayed reservoir computing based on series-coupled microring resonators with high memory capacity

On-chip microring resonators (MRRs) have been proposed to construct time-delayed reservoir computing (RC) systems, which offer promising configurations available for computation with high scalability, high-density computing, and easy fabrication. A single MRR, however, is inadequate to provide enough memory for the computation task with diverse memory requirements. Large memory requirements are satisfied by the RC system based on the MRR with optical feedback, but at the expense of its ultralong feedback waveguide. In this paper, a time-delayed RC is proposed by utilizing a silicon-based nonlinear MRR in conjunction with an array of linear MRRs. These linear MRRs possess a high quality factor, providing enough memory capacity for the RC system. We quantitatively analyze and assess the proposed RC structure's performance on three classical tasks with diverse memory requirements, i.e., the Narma 10, Mackey-Glass, and Santa Fe chaotic timeseries prediction tasks. The proposed system exhibits comparable performance to the system based on the MRR with optical feedback, when it comes to handling the Narma 10 task, which requires a significant memory capacity. Nevertheless, the dimension of the former is at least 350 times smaller than the latter. The proposed system lays a good foundation for the scalability and seamless integration of photonic RC.

[Analysis of clinical manifestations and prognosis of primary systemic light chain amyloidosis with liver involvement]

Objective: To summarize the clinical manifestations and prognostic factors of patients with hepatic amyloidosis in a single center. Methods: The clinical data of 28 primary systemic light chain amyloidosis cases with liver involvement in our center from October 2012 to January 2023 were retrospectively analyzed. The main clinical manifestations and prognostic factors were studied. Statistical analysis were performed using the χ(2) test, Fisher's exact test, Wilcoxon rank test, or Kaplan-Meier survival curve log-rank test according to the different data. Results: The main clinical manifestations of patients with liver involvement were abdominal distension, hepatomegaly, and edema. CD56 and chemokine receptor 4 protein expression accounted for 52% (13/25) and 56% (14/25). 64.3% (9/14) patients were combined with t (11,14), and 21.4% (3/14) patients were positive for 1q21 (+), and no patients were detected with del(17p). Univariate analysis showed that Mayo 2004 and 2012 stages and total bilirubin (TBil) ≥34.2 μmol/L were associated with progression-free survival and overall survival. The median progression-free survival and overall survival were significantly inferior in patients with TBil≥34.2μmol/L group (0.178 years, 0.195 years) than with the TBil<34.2μmol/L group (0.750 years, 3.586 years) (P < 0.05). Conclusion: Mayo stage and hyperbilirubinemia are inferior prognostic factors for patients with primary systemic light chain amyloidosis accompanied with liver involvement.

Serum klotho as a novel biomarker for metabolic syndrome: findings from a large national cohort

Background

Metabolic syndrome is a cluster of metabolic abnormalities that significantly increase the risk of cardiovascular disease and mortality. The identification of novel biomarkers associated with mortality in patients with metabolic syndrome could facilitate early risk stratification and targeted interventions.

Methods

We conducted a large prospective cohort study using data from five cycles (2009-2016) of the National Health and Nutrition Examination Survey (NHANES) database, including a total of 40,439 participants. Logistic regression analysis was used to assess the association between serum klotho protein levels and metabolic syndrome, while Cox regression analysis was employed to examine the correlation between serum klotho levels and all-cause mortality. Mortality data were updated until December 31, 2019.

Results

After adjusting for demographic and socioeconomic confounders, the logistic regression model demonstrated that higher serum klotho levels were significantly associated with a decreased prevalence of metabolic syndrome (OR [95% CI] Highest vs. lowest quartile: 0.84 [0.70-0.99], P=0.038). In the Cox regression model, elevated klotho levels were found to significantly reduce the risk of all-cause mortality among individuals with metabolic syndrome (HR [95% CI] Highest vs. lowest quartile: 0.68 [0.51-0.90], P=0.006).

Conclusion

Serum klotho levels were found to be inversely associated with the prevalence of metabolic syndrome, independent of potential confounding factors such as demographics, socioeconomic status, and lifestyle factors. Furthermore, higher klotho levels strongly indicated a lower risk of all-cause mortality in individuals with metabolic syndrome.

Lacticaseibacillus rhamnosus GG Improves Periodontal Bone Repair via Gut-Blood Axis in Hyperlipidemia

Periodontal bone regeneration remains a clinical challenge, and hyperlipidemia can aggravate alveolar bone resorption. Probiotics have recently been reported to improve bone mass. We aimed to determine the role of Lacticaseibacillus rhamnosus GG (LGG) in periodontal bone regeneration improvement within the context of periodontitis with hyperlipidemia. A Sprague Dawley rat model for periodontitis, hyperlipidemia, and periodontal fenestration defect was constructed (n = 36) and administered LGG gavage for 6 wk (the rats were subsequently sacrificed). Fecal microbiota from donor rats 3 wk after LGG gavage was transplanted into recipient rats to evaluate the role of LGG-modulated gut microbiota in periodontal bone regeneration. Regenerated bone mass was detected using micro-computerized tomography and hematoxylin and eosin stain. Gut microbiota was analyzed using 16S ribosomal RNA sequencing. Serum metabolites were detected by liquid chromatography-mass spectrometry (6 wk after LGG gavage). The pro-osteogenic effects of screened serum metabolite were verified in vitro on bone marrow mesenchymal stem cells (BMMSCs). We found that the bone mineral density, bone volume (BV), trabecular bone volume fraction (BV/TV), and trabecular thickness of the regenerated periodontal bone increased after LGG gavage (P < 0.05) but had little effect on oral flora. After LGG gavage, Staphylococcus, Corynebacterium, and Collinsella in the gut of donors were significantly changed, and these differences were maintained in recipients, who also showed increased trabecular thickness of the regenerated periodontal bone (P < 0.05). These key genera were correlated with BV/TV and BV (P < 0.05). In addition, LGG gavage significantly regulated bone-related blood metabolites, of which selenomethionine promoted BMMSC osteogenesis. Notably, selenomethionine was associated with key gut genera (P < 0.05). Collectively, LGG improved periodontal bone regeneration in the context of periodontitis with hyperlipidemia by modulating gut microbiota and increasing pro-osteogenic metabolites in the blood. These results reveal new insights into the use of probiotics to promote periodontal bone regeneration via the gut-blood-bone axis.

Effects of exogenous energy on synthesis of steroid hormones and expression characteristics of the CREB/StAR signaling pathway in theca cells of laying hen

Energy and the cAMP-response element binding protein (CREB)/steroidogenic acute regulatory protein (StAR) signaling pathway play important roles in steroid hormone production and follicular development in hens. This present study aimed to investigate the effects of exogenous energy on the synthesis of steroid hormones and the expression characteristics of the CREB/StAR signaling pathway in theca cells of laying hen. The primary theca cells of small yellow follicles were randomly divided into 6 treatments and cultured in medium with glucose concentrations of 1, 1.5, 3, 4.5, 6, and 7.5 mg/mL for 48 h. It was found that growth was robust and cell outlines were clear when cells were cultured with 1, 1.5, 3, and 4.5 mg/mL glucose, but cell viability was diminished and cell density decreased after exposure to glucose at 6 and 7.5 mg/mL for 48 h. Cell viability showed an increasing and then decreasing quadratic response to increasing glucose concentration in culture (r2 = 0.688, P < 0.001). The cell viability of theca cells cultured with 4.5 mg/mL glucose was greater than those cultured with 1, 1.5, 6, and 7.5 mg/mL glucose (P < 0.05). The concentration of estradiol in the medium containing 3 mg/mL glucose was higher than in medium containing 1, 1.5, and 6 mg/mL glucose (P < 0.05). There was an increasing and then decreasing quadratic correlation between progesterone concentrations and glucose concentrations (r2 = 0.522, P = 0.002). The concentration of progesterone in medium with 4.5 mg/mL glucose was higher than in medium with 1 and 7.5 mg/mL glucose (P < 0.05). There was an increasing and then decreasing quadratic correlation between the relative expression of CREB1 (r2 = 0.752, P < 0.001), StAR (r2 = 0.456, P = 0.002), CYP1B1 (r2 = 0.568, P < 0.001), and 3β-HSD (r2 = 0.319, P = 0.018) in theca cells of laying hens and glucose concentrations after treatment with different glucose concentrations for 48 h. After treatment with 4.5 mg/mL glucose, the expression of StAR, CYP1B1, and 3β-HSD genes were increased compared to treatment with 1, 1.5, 3, 6, and 7.5 mg/mL glucose (P < 0.001). There was an increasing and then decreasing quadratic correlation between glucose concentrations and protein expression of CREB1 (r2 = 0.819, P < 0.001), StAR (r2 = 0.844, P < 0.001), 3β-HSD (r2 = 0.801, P < 0.001), and CYP11A1 (r2 = 0.800, P < 0.001) in theca cells of laying hens. The protein expression of CREB1, StAR, and 3β-HSD in theca cells cultured with 4.5 mg/mL glucose was higher than in other groups (P < 0.001). The results indicate that the appropriate glucose concentration (4.5 mg/mL) can improve the synthesis of steroid hormones in theca cells of laying hens through the upregulation of key genes and proteins in the CREB/StAR signaling pathway.

Efficiency and safety of dual pathway inhibition for the prevention of femoropopliteal artery restenosis in repeated endovascular interventions

OBJECTIVE

There is a lack of consensus regarding the optimal strategy for evaluating the efficiency and safety of dual-pathway inhibition (DPI) in preventing femoropopliteal restenosis in patients undergoing repeated endovascular interventions. Despite several therapeutic interventions available for preventing femoropopliteal restenosis post repeated endovascular interventions, the ideal strategy, particularly evaluating the efficacy and safety of DPI, remains a matter of debate.

METHODS

From January 2015 to September 2021, patients who underwent repeated endovascular interventions for femoropopliteal restenosis were compared with those who underwent DPI or dual antiplatelet therapy (DAPT) after surgery using a propensity score-matched analysis. The primary outcome was clinically driven target lesion revascularization (CD-TLR). The principal safety outcome was a composite of major bleeding and clinically relevant non-major (CRNM) bleeding. To further enhance the rigor, Kaplan-Meier plots, Cox proportional hazards modeling, and sensitivity analyses, as well as subgroup analyses were employed, reducing potential confounders.

RESULTS

A total of 441 patients were included in our study, of whom 294 (66.7%) received DAPT and 147 (33.1%) received DPI, with 114 matched pairs (mean age, 72.21 years; 84.2% male). Cumulative probability of CD-TLR at 36 months in the DPI group (17%) trended lower than that in the DAPT group (32%) (hazard ratio [HR], 0.45; 95% confidence interval [CI], 0.26-0.78; P =.004). The cumulative probability of freedom from CD-TLR at 36 months in the DPI group was 83%. No significant difference was observed in the composite outcome of major or CRNM bleeding between the DPI and DAPT groups (HR, 1.26; 95% CI, 0.34 to 4.69; P = .730). The DPI group was associated with significantly lower rates of CD-TLR in the main subgroup analyses of diabetes (P = .001), previous smoking history (P = .008), longer lesion length (>10 cm) (P = .003), and treatment with debulking strategy (P = .003).

CONCLUSIONS

In our investigation focused on CD-TLR, we found that DPI exhibited a significant reduction in the risk of reintervention compared with other treatment modalities. This underscores the potential of DPI as a viable therapeutic strategy in preventing reinterventions. Moreover, our assessment of safety outcomes revealed that the bleeding risks associated with DPI were on par with DAPT, thereby not compromising patient safety. These findings pave the way for potential broader clinical implications, emphasizing the effectiveness and safety of DPI in the context of reducing reintervention risks.

Low Levels of Metrnl are Linked to the Deterioration of Diabetic Kidney Disease

Objective

Diabetic kidney disease (DKD) is the leading cause of end-stage renal disease. Metrnl is a secreted protein that plays an important role in kidney disease. The aim of this study was to investigate DKD-related factors and the correlation between serum Metrnl levels and the severity of DKD.

Methods

Ninety-six type 2 diabetes mellitus (T2DM) patients and 45 DKD patients were included in the study. A range of parameters were measured simultaneously, including waist-to-hip ratio (WHR), body mass index (BMI), urinary albumin/creatinine ratio (UACR), monocyte-lymphocyte ratio (MLR), albumin/globulin (A/G), liver and kidney function, blood lipid profile, islet function, and others. Subsequently, the related factors and predictive significance of DKD were identified. The correlation between the relevant factors of DKD and serum Metrnl levels with DKD was evaluated.

Results

The duration of the disease (OR: 1.12, 95% CI: 1.01-1.24, P=0.031), hypertension (OR: 4.86, 95% CI: 1.16-20.49, P=0.031), fasting blood glucose (OR: 1.23, 95% CI: 1.03-1.48, P=0.025), WHR (OR: 2.53, 95% CI: 1.03-6.22, P=0.044), and MLR (OR: 1.91, 95% CI: 1.18-3.08, P=0.008) are independent risk factors for DKD (P < 0.05). Conversely, A/G (OR: 0.13, 95% CI: 0.02-0.76, P=0.024) and Metrnl (OR: 0.99, 95% CI: 0.98-1.00, P=0.001) have been identified as protective factors against DKD. Furthermore, the level of Metrnl was negatively correlated with the severity of DKD (rs=-0.447, P<0.001). The area under receiver operating characteristic (ROC) curves for the diagnostic accuracy of Metrnl for DKD is 0.765 (95% CI: 0.686-0.844).

Conclusion

The duration of the disease, hypertension, fasting blood glucose, WHR, and MLR are major risk factors for DKD. Metrnl and A/G are protective factors for DKD. Serum Metrnl concentrations are inversely correlated with DKD severity.

[Quality control of gastric resection range in laparoscopic locally advanced gastric cancer]

After nearly 30 years of exploration and practice, minimally invasive surgical techniques represented by laparoscopic technology have become an important means for the surgical treatment of gastric cancer. In China, laparoscopic radical resection for locally advanced gastric cancer has been extensively carried out. However, there are still controversies regarding the gastric resection range and methods for advanced gastric cancer. By reviewing relevant domestic and foreign guideline documents and combining team practice experience, this article elaborates on the key points of quality control of laparoscopic gastric resection range for locally advanced gastric cancer from aspects such as tumor localization and gastric resection range for upper, middle and lower gastric tumors. It aims to provide reference for carrying out and promoting laparoscopic radical gastrectomy more safely.

Integrated machine learning and deep learning for predicting diabetic nephropathy model construction, validation, and interpretability

OBJECTIVE

To construct a risk prediction model for assisted diagnosis of Diabetic Nephropathy (DN) using machine learning algorithms, and to validate it internally and externally.

METHODS

Firstly, the data was cleaned and enhanced, and was divided into training and test sets according to the 7:3 ratio. Then, the metrics related to DN were filtered by difference analysis, Least Absolute Shrinkage and Selection Operator (LASSO), Recursive Feature Elimination (RFE), and Max-relevance and Min-redundancy (MRMR) algorithms. Ten machine learning models were constructed based on the key variables. The best model was filtered by Receiver Operating Characteristic (ROC), Precision-Recall (PR), Accuracy, Matthews Correlation Coefficient (MCC), and Kappa, and was internally and externally validated. Based on the best model, an online platform had been constructed.

RESULTS

15 key variables were selected, and among the 10 machine learning models, the Random Forest model achieved the best predictive performance. In the test set, the area under the ROC curve was 0.912, and in two external validation cohorts, the area under the ROC curve was 0.828 and 0.863, indicating excellent predictive and generalization abilities.

CONCLUSION

The model has a good predictive value and is expected to help in the early diagnosis and screening of clinical DN.

[Current status and challenges of immunotherapy for multiple myeloma]

Multiple myeloma (MM) is the second most common hematologic malignancy and the incidence of MM in mainland China in 2016 was 1.15/100 000.With the development of China's aging society, the incidence of MM is expected to increase year by year. Immunotherapy for MM has become the fourth pillar of therapy after autologous hematopoietic stem cell transplantation, immunomodulators, and proteasome inhibitors, and is the most active area of MM treatment. Nine new drugs have been approved for multiple myeloma treatment in China, and three are expected to be approved in 2024, which will focus on immunotherapy. There are many ambiguities about the current status of research and utilization in this emerging field in China. Determining the optimal integration of these therapies into the treatment regimen for Chinese MM patients constitutes a critical challenge for clinicians. Immunotherapy for MM primarily encompasses two major categories: antibody-based drug therapy and cellular immunotherapy. Antibody-based medications primarily include monoclonal antibodies, T-cell engagers, IgG-like bispecific antibodies, and trispecific antibodies. Cellular immunotherapy mainly consists of chimeric antigen receptor T (CAR-T) cells, as well as other immune cells such as chimeric antigen receptor natural killer (CAR-NK) cells, dendritic cells, T cell receptor-engineered T cells, and peptide vaccines.This article mainly focuses on the current research status and existing issues of the aforementioned immunotherapy methods, with the aim of providing references for the treatment of MM.

[Efficacy and safety of first-line treatment with anti-CD38 monoclonal antibody-based regimen for primary plasma cell leukemia]

Objective: To analyze the efficacy and safety of first-line treatment with an anti-CD38 monoclonal antibody regimen for primary plasma cell leukemia (pPCL). Methods: Patients diagnosed with pPCL from December 1st, 2018 to July 26th, 2023, receiving first-line treatment of anti-CD38 monoclonal antibody-based regimens across multiple centers including Peking University People's Hospital, Fuxing Hospital of Capital Medical University, Qingdao Municipal Hospital, Shengjing Hospital of China Medical University, Handan Central Hospital, the First Affiliated Hospital of Harbin Medical University, the Fourth Hospital of Hebei Medical University and General Hospital of Ningxia Medical University were consecutively included. A total of 24 pPCL patients were included with thirteen being male and eleven being female. The median age [M(Q1, Q3)] was 60 (57, 70) years. Patients were grouped according to peripheral blood plasma cell (PBPC) percentage [5%-19% (n=14) vs ≥20% (n=10)]. Last follow-up date was September 26th, 2023. The median follow-up period was 9.1 (4.2, 15.5) months. Patients' data related with clinical baseline characteristics, efficacy, survival and safety were retrospectively collected. Cox proportional hazards regression model was used to analyze risk factors associated with survival. Results: Among 24 pPCL patients, 16 (66.7%) patients had anemia at diagnosis, 13(54.2%) patients had thrombocytopenia, 8 (33.3%) patients had a baseline estimated glomerular filtration rate (eGFR)<40 ml·min-1·(1.73m2)-1, 13 (54.2%) patients had elevated lactate dehydrogenase (LDH) levels. The median PBPC percentage was 16% (8%, 26%) . Fluorescence in situ hybridization testing indicated that patients harboring 17p deletion, t(4;14) or t(14;16) were 6 (25.0%), 4 (16.7%) and 4 (16.7%), respectively. The overall response rate was 83.3% (20/24). The median progression-free survival (PFS) was 20.5 (95%CI: 15.8-25.2) months, and the median overall survival (OS) was not reached. Estimated 1-year and 2-year PFS and OS rates were 75.0% and 89.1%, 37.5% and 53.4%, respectively. The median PFS and OS for patients with PBPC percentages 5%-19% and≥20% were not reached and 20.5 (95%CI:15.7-25.3) months, 17.8 months and not reached, respectively. There was no significant statistical difference of PFS and OS between two groups (all P>0.05). Multivariate Cox regression analysis showed that 1p32 deletion was the risk factor associated with PFS (HR=7.7, 95%CI: 1.1-54.9, P=0.043). Seventeen patients (70.8%) developed grade 3-4 hematologic toxicities. Twelve patients (50.0%) developed grade 3-4 thrombocytopenia. Sixteen patients (66.7%) developed infection. All hematologic toxicities and infections were improved after supportive treatment. Conclusion: First-line treatment with anti-CD38 monoclonal antibody-based therapy for pPCL is effective and safe.

[The detecting value of virtual non-calcium technique of dual-energy CT for bone marrow edema around nontraumatic osteonecrosis of the femoral head]

Objective: To evaluate the value of virtual non-calcium (VNCa) technique of dual-energy CT (DECT) for detecting bone marrow edema (BME) around nontraumatic osteonecrosis of the femoral head (ONFH) using MRI as reference standard. Methods: Nontraumatic ONFH patients were prospectively studied in the Fourth Medical Center of Chinese PLA General Hospital from October 2022 to May 2023, and their MRI and DECT images were analyzed. The diagnostic efficiency of the subjective assessment of BME around ONFH by two radiologists in VNCa color-coded images were calculated using the MRI results as the reference standard. The BME ranges were compared between VNCa images and MRI. Traditional CT values and VNCa CT values were compared between normal bone marrow and BME. The receiver operator characteristic (ROC) curve was established based on the statistically different CT values, and the area under the curve (AUC) was calculated to find the threshold to distinguish normal bone marrow from BME and evaluate the diagnostic efficacy. Results: Thirty patients with ONFH were included, including 24 males and 6 females, aged (39±12) years. There were 18 bilateral hips and 12 unilateral hips, with a total of 48 hips, 34 hips of which showed BME on MRI. The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and accuracy of subjective detection of BME on VNCa color coded maps by two physicians were 97.1% (33/34) and 97.1% (33/34), 92.9% (13/14) and 71.4% (10/14), 97.1% (33/34) and 89.2% (33/37), 92.9% (13/14) and 90.9% (10/11), 95.8% (46/48) and 89.6% (43/48), respectively, with no statistical difference (all P>0.05).There was no statistical difference between VNCa color-coded images and MRI in the BME range (P=1.160). The traditional CT values measured by the two radiologists were in good agreement with VNCa CT values, with intraclass correlation coefficient (ICC) of 0.948 (95%CI: 0.908-0.971) and 0.982 (95%CI: 0.969-0.990), respectively. The traditional CT value of normal bone marrow was (400.7±82.8) HU, and that of BME was (443.7±65.7) HU, with no statistical difference (P=0.062). The VNCa CT value of normal bone marrow was (-103.1±27.8) HU, and that of BME was (-32.9±25.7) HU, with statistical difference (P<0.001). The AUC of distinguishing normal bone marrow from BME based on VNCa CT value was 0.958 (95%CI: 0.857-0.995). The best cut-off value was -74.5 HU, and when the VNCa CT value was higher than -74.5 HU, the sensitivity, specificity, PPV, NPV and accuracy of diagnosing BME were 97.1%, 92.9%, 97.1%, 92.9% and 95.8 %, respectively. Conclusion: The VNCa technique of DECT has high efficiency in detecting BME around ONFH, and can accurately demonstrate the range of BME.

Single-molecule electrochemical imaging resolves the midpoint potentials of individual fluorophores on nanoporous antimony-doped tin oxide

We report reversible switching of oxazine, cyanine, and rhodamine dyes by a nanoporous antimony-doped tin oxide electrode that enables single-molecule (SM) imaging of electrochemical activity. Since the emissive state of each fluorophore is modulated by electrochemical potential, the number of emitting single molecules follows a sigmoid function during a potential scan, and we thus optically determine the formal redox potential of each dye. We find that the presence of redox mediators (phenazine methosulfate and riboflavin) functions as an electrochemical switch on each dye's emissive state and observe significantly altered electrochemical potential and kinetics. We are therefore able to measure optically how redox mediators and the solid-state electrode modulate the redox state of fluorescent molecules, which follows an electrocatalytic (EC') mechanism, with SM sensitivity over a 900 μm2 field of view. Our observations indicate that redox mediator-assisted SM electrochemical imaging (SMEC) could be potentially used to sense any electroactive species. Combined with SM blinking and localization microscopy, SMEC imaging promises to resolve the nanoscale spatial distributions of redox species and their redox states, as well as the electron transfer kinetics of electroactive species in various bioelectrochemical processes.

White matter diffusion estimates in obsessive-compulsive disorder across 1653 individuals: machine learning findings from the ENIGMA OCD Working Group

White matter pathways, typically studied with diffusion tensor imaging (DTI), have been implicated in the neurobiology of obsessive-compulsive disorder (OCD). However, due to limited sample sizes and the predominance of single-site studies, the generalizability of OCD classification based on diffusion white matter estimates remains unclear. Here, we tested classification accuracy using the largest OCD DTI dataset to date, involving 1336 adult participants (690 OCD patients and 646 healthy controls) and 317 pediatric participants (175 OCD patients and 142 healthy controls) from 18 international sites within the ENIGMA OCD Working Group. We used an automatic machine learning pipeline (with feature engineering and selection, and model optimization) and examined the cross-site generalizability of the OCD classification models using leave-one-site-out cross-validation. Our models showed low-to-moderate accuracy in classifying (1) "OCD vs. healthy controls" (Adults, receiver operator characteristic-area under the curve = 57.19 ± 3.47 in the replication set; Children, 59.8 ± 7.39), (2) "unmedicated OCD vs. healthy controls" (Adults, 62.67 ± 3.84; Children, 48.51 ± 10.14), and (3) "medicated OCD vs. unmedicated OCD" (Adults, 76.72 ± 3.97; Children, 72.45 ± 8.87). There was significant site variability in model performance (cross-validated ROC AUC ranges 51.6-79.1 in adults; 35.9-63.2 in children). Machine learning interpretation showed that diffusivity measures of the corpus callosum, internal capsule, and posterior thalamic radiation contributed to the classification of OCD from HC. The classification performance appeared greater than the model trained on grey matter morphometry in the prior ENIGMA OCD study (our study includes subsamples from the morphometry study). Taken together, this study points to the meaningful multivariate patterns of white matter features relevant to the neurobiology of OCD, but with low-to-moderate classification accuracy. The OCD classification performance may be constrained by site variability and medication effects on the white matter integrity, indicating room for improvement for future research.

Conventional and multi-omics assessments of subacute inhalation toxicity due to propylene glycol and vegetable glycerin aerosol produced by electronic cigarettes

Propylene glycol (PG) and vegetable glycerin (VG) are the most common solvents used in electronic cigarette liquids. No long-term inhalation toxicity assessments have been performed combining conventional and multi-omics approaches on the potential respiratory effects of the solvents in vivo. In this study, the systemic toxicity of aerosol generated from a ceramic heating coil-based e-cigarette was evaluated. First, the aerosol properties were characterized, including carbonyl emissions, the particle size distribution, and aerosol temperatures. To determine toxicological effects, rats were exposed, through their nose only, to filtered air or a propylene glycol (PG)/ glycerin (VG) (50:50, %W/W) aerosol mixture at the target concentration of 3 mg/L for six hours daily over a continuous 28-day period. Compared with the air group, female rats in the PG/VG group exhibited significantly lower body weights during both the exposure period and recovery period, and this was linked to a reduced food intake. Male rats in the PG/VG group also experienced a significant decline in body weight during the exposure period. Importantly, rats exposed to the PG/VG aerosol showed only minimal biological effects compared to those with only air exposure, with no signs of toxicity. Moreover, the transcriptomic, proteomic, and metabolomic analyses of the rat lung tissues following aerosol exposure revealed a series of candidate pathways linking aerosol inhalation to altered lung functions, especially the inflammatory response and disease. Dysregulated pathways of arachidonic acids, the neuroactive ligand-receptor interaction, and the hematopoietic cell lineage were revealed through integrated multi-omics analysis. Therefore, our integrated multi-omics approach offers novel systemic insights and early evidence of environmental-related health hazards associated with an e-cigarette aerosol using two carrier solvents in a rat model.

[Correlation between postoperative microstructural changes in cerebral white matter and early postoperative cognitive function in patients undergoing meningioma resection]

Objective: To analyze the correlation between microstructure changes in cerebral white matter before and after surgery and early postoperative cognitive function in patients undergoing meningioma resection. Methods: A total of 17 patients who underwent their first meningioma resection at Xuanwu Hospital of Capital Medical University from April 2022 to April 2023 were prospectively included as observation group, with 5 males and 12 females, aged (56.4±7.3) years. Another 15 age- and education-matched patients with cerebral benign tumor were recruited as control group during the same period, with 5 males and 10 females, aged (55.2±8.0) years. Neuropsychological tests (NST), mainly including auditory verbal learning test of Huashan version (AVLT-H), the Montreal cognitive assessment-basic (MoCA-B), clock drawing task-30 (CDT-30), shape trails test-B (STT-B) and animal fluence test (AFT), were conducted at 1 day before surgery, 1 day and within 3-4 days after surgery in the observation group. Simultaneously, magnetic resonance imaging (MRI) scans were performed to collect diffusion tensor imaging (DTI) images at 1 day before surgery and within 3-4 days after surgery. The same NST were conducted at 1 day, 3 days and 6 days after admission in the control group to adjust for learning effects from repeated tests. The microstructure changes of the whole brain white matter were evaluated at the group level by using tract-based spatial statistics (TBSS) technology, including changes of fractional anisotropy (FA), mean diffusion (MD), axial diffusion (AD), and radial diffusion (RD). Then, correlation was performed between DTI indicators with statistically significant and cognitive function. Results: After adjusting for the learning effects, the AVLT-H (R), MoCA-B, and CDT-30 scores decreased, and the evaluation time of STT-B prolonged after surgery in patients with meningioma. And their perioperative decreased values were -0.78 (95%CI:-3.28--0.28) points, -2.22 (95%CI:-4.22--0.72) points, -2.74 (95%CI:-5.29--0.19) points, and 61.49 (95%CI: 5.71-117.27) seconds, respectively, with statistically significant differences (all P<0.05). Group level analysis of TBSS based on DTI images showed decreased FA mainly in the right superior cerebellar peduncle, left posterior limb of internal capsule and genu of corpus callosum, and increased RD mainly in the left anterior corona radiata in patients undergoing meningioma resection, with statistically significant differences (all PFWE<0.05). Linear correlation showed that the perioperative decreased values of FA in genu of corpus callosum and right superior cerebellar peduncle were positively correlated with the perioperative decreased values of AVLT-H (L) after adjusting for learning effects (r=0.72, 0.52, all PFWE<0.05). Conclusions: Patients undergoing meningioma resection are at risk of postoperative cognitive decline. Perioperative decreased values of FA in genu of corpus callosum and right superior cerebellar peduncle based on DTI images are positively correlated with the perioperative decreased values of AVLT-H (L) after adjusting for learning effects.

Risk factors for carotid plaque formation in type 2 diabetes mellitus

OBJECT

Patients with type 2 diabetes mellitus (T2DM) are at higher risk of developing atherosclerosis. Previous studies have analyzed the factors associated with diabetic macrovascular disease, although whether these factors are applicable to T2DM patients with carotid atherosclerosis remains unclear. Therefore, the aim of this study was to investigate the risk factors for the formation of carotid atherosclerotic plaque in hospitalized T2DM patients and to provide a theoretical basis for early prevention and treatment of carotid atherosclerosis in these patients.

METHODS

A total of 949 patients with T2DM were included in the study. Carotid ultrasound identified 531 patients with carotid atherosclerotic plaque. The waist-to-hip ratio (WHR), blood glucose, liver and kidney function, blood lipid profile, islet function, and other indicators were measured at the same time to identify the risk factors and predictive significance of T2DM carotid plaque.

RESULTS

The proportions of men, diabetes nephropathy (DN) and hypertension in T2DM patients with carotid plaque are higher than those without carotid plaque(P < 0.05). Age, duration of diabetes, WHR, Postprandial glucose (PPG), lipoprotein (a) [Lip (a)], carcinoembryonic antigen(CEA) and estimated glomerular filtration rate (eGFR) in T2DM patients with carotid plaque were higher than those without plaque (P < 0.05). Age, WHR, duration of diabetes, hypertension, males, and Lip (a) were independent risk factors for T2DM patients with carotid plaque. Age, WHR, duration of diabetes, and Lip (a) had a higher AUC to predict T2DM with carotid artery plaque (AUC: 0.750, 0.640, 0.678, 0.552 respectively; P all < 0.001). After constructing the logit (P) value of the above risk factors, the area under the ROC curve was 0.816 (0.789-0.842, P < 0.001).

CONCLUSION

Age, WHR, duration of diabetes, hypertension, males, and Lip (a) levels are the main risk factors for the formation of carotid plaque in T2DM patients. Combining the above risk factors provides a better prediction of carotid plaque formation in T2DM.

Spinetoram-Induced Potential Neurotoxicity through Autophagy Mediated by Mitochondrial Damage

Spinetoram is an important semi-synthetic insecticide extensively applied in agriculture. It is neurotoxic to insects, primarily by acting on acetylcholine receptors (nAChRs). However, few studies have examined the neurotoxicity of spinetoram in human beings. In this study, various concentrations (5, 10, 15, and 20 μM) of spinetoram were employed to expose SH-SY5Y cells in order to study the neurotoxic effects of spinetoram. The results showed that spinetoram exposure markedly inhibited cell viability and induced oxidative stress. It also induced mitochondrial membrane potential collapse (ΔΨm), and then caused a massive opening of the mitochondrial permeability transition pore (mPTP), a decrease in ATP synthesis, and Ca2+ overloading. Furthermore, spinetoram exposure induced cellular autophagy, as evidenced by the formation of autophagosomes, the conversion of LC3-I into LC3-II, down-regulation of p62, and up-regulation of beclin-1. In addition, we observed that p-mTOR expression decreased, while p-AMPK expression increased when exposed to spinetoram, indicating spinetoram triggered AMPK/mTOR-mediated autophagy. Complementarily, the effect of spinetoram on neurobehavior was studied using the zebrafish model. After being exposed to different concentrations (5, 10, and 20 μg/mL) of spinetoram, zebrafish showed neurobehavioral irregularities, such as reduced frequency of tail swings and spontaneous movements. Similarly, autophagy was also observed in zebrafish. In conclusion, spinetoram exposure produced potential neurotoxicity through autophagy mediated by mitochondrial damage. The experimental data and results of the neurotoxicity study of spinetoram provided above are intended to serve as reference for its safety assessment.

Bckdk-Mediated Branch Chain Amino Acid Metabolism Reprogramming Contributes to Muscle Atrophy during Cancer Cachexia

SCOPE

Branched chain amino acids (BCAAs) are essential amino acids and important nutrient signals for energy and protein supplementation. The study uses muscle-specific branched-chain α-keto acid dehydrogenase kinase (Bckdk) conditional knockout (cKO) mice to reveal the contribution of BCAA metabolic dysfunction to muscle wasting.

METHOD AND RESULTS

Muscle-specific Bckdk-cKO mice are generated through crossbreeding of Bckdkf/f mice with Myf5Cre mice. Lewis lung cancer (LLC) tumor transplantation is used to establish the cancer cachexia model. The occurrence of cancer cachexia is accelerated in the muscle-specific Bckdk-cKO mice after bearing LLC tumor. Wasting skeletal muscle is characterized by increased protein ubiquitination degradation and impaired protein synthesis. The wasting muscle gastrocnemius is mechanized as a distinct BCAA metabolic dysfunction. Based on the atrophy phenotype resulting from BCAA metabolism dysfunction, the optimized BCAA supplementation improves the survival of cancer cachexia in muscle-specific Bckdk-cKO mice bearing LLC tumors, and improves the occurrence of cancer cachexia. The mechanism of BCAA supplementation on muscle mass preservation is based on the promotion of protein synthesis and the inhibition of protein ubiquitination degradation.

CONCLUSIONS

Dysfunctional BCAA metabolism contributes to the inhibition of protein synthesis and increases protein degradation in the cancer cachexia model of muscle-specific Bckdk-cKO mice bearing LLC tumors. The reprogramming of BCAA catabolism exerts therapeutic effects by stimulating protein synthesis and inhibiting protein degradation in skeletal muscle.

Age-Related Effect of Uric Acid on Contrast-Induced Acute Kidney Injury of Patients Undergoing Coronary Angiography

Background

The association between uric acid (UA) and contrast-induced acute kidney injury (CI-AKI) following coronary angiography (CAG) has been established. However, whether the association would vary with age remained undetermined.

Methods

We performed the retrospective analysis based on the Cardio-renal Improvement II study, (ClinicalTrials.gov NCT05050877), which enrolled consecutive patients undergoing coronary angiography in 5 teaching hospitals in China from 2007 to 2020. The primary outcome was CI-AKI defined as the rise of serum creatinine (SCr) ≥ 0.5 mg/dL or 25% compared with the baseline value within 48 hours following CAG. The effect of age on the association between uric acid and CI-AKI was assessed by the logistic regression model.

Results

A total of 36,550 patients (mean age 63.08±5.6-year-old, 41.7% men) were included in the study. After adjusting for the confounders, the risk of CI-AKI between each quartile of uric acid was insignificant in the young group. In patients of the middle group, lower UA was associated with a lower risk of CI-AKI while higher UA was associated with a higher risk (Q1 OR: 0.853, 95% CI: 0.734-0.993; Q4 OR: 1.797, 95% CI: 1.547-2.09). In patients of the elder group, lower and higher UA were both associated with a higher risk of CI-AKI (Q1 OR: 1.247, 95% CI: 1.003-1.553; Q4 OR: 1.688, 95% CI: 1.344-2.124). The restricted cubic spline indicated a non-linear association between UA and CI-AKI in middle and elder age groups but a linear association in the young age group.

Conclusion

The association between uric acid and CI-AKI vary in patients of different age. Patients with elder age should maintain a middle level of uric acid while patients with middle age should consider a lower level of uric acid to reduce the risk of CI-AKI. The level of UA was an insignificant risk factor for CI-AKI in young patients.

Associations of multiple toxic metal exposures with metabolic dysfunction-associated fatty liver disease: NHANES 2011-2018

Background

The occurrence of metabolic dysfunction-associated fatty liver disease (MASLD) is driven by multiple factors including obesity, hypertension, dyslipidemia, and insulin resistance. However, epidemiological research investigating the association between metal exposure and MASLD occurrence remains limited.

Methods

We conducted a large cross-sectional study with 6,520 participants who were involved in the National Health and Nutrition Examination Survey (NHANES) between 2011 and 2018. Using generalized linear regression, we examined the relationship between five heavy metals (mercury, manganese, lead, selenium, cadmium) and MASLD. Furthermore, restricted cubic spline models and weighted quantile sum (WQS) analysis were employed to characterize the exposure-response relationship between the five metals and MASLD.

Results

Higher blood selenium levels were associated with an increased likelihood of MASLD among US adults. Blood lead exposure was also positively correlated with MASLD risk. However, there was no significant association observed between blood cadmium, mercury, manganese levels, and MASLD risk. Among the five metals, blood cadmium exposure accounted for the highest proportion of MASLD risk.

Conclusion

Our study indicated the significant association between blood cadmium and lead exposure levels and the occurrence of MASLD in a representative sample of US adults.

The effects of Spinosad on zebrafish larvae and THP-1 cells: Associated with immune cell damage and NF-kappa B signaling pathway activation

Spinosad is a highly effective macrolide insecticide with a wide range of applications. However, few studies have been reported on the effects of Spinosad on immune cells. The immune system is an important line of defense in the human body and plays an important role in maintaining the normal functioning of the organism. Meanwhile, macrophages, neutrophils and Thymic T cells are an important component of the immune system. We studied the immunotoxicity of Spinosad using zebrafish and THP-1 cells. In vivo, Spinosad (0-20 μM) did not cause developmental toxicity in zebrafish, but induced damage to immune cells. In vitro, Spinosad (0-20 μM) inhibited THP-1 cells viability and induced mitochondrial damage and oxidative stress production. In further studies, it impaired phagocytosis of THP-1 cells and interfered with lipid metabolism. In addition, we found that Spinosad can promote the formation of the inflammatory body NLRP3 (NLR family, pyrin domain-containing 3) and activate the NF-kappa B (NF-κB) signaling pathway. These results suggest that Spinosad has a potential risk for inducing immunotoxicity. This study has drawn attention to Spinosad-induced immunotoxicity.

An innovative virtual reality training tool for the pre-hospital treatment of cranialmaxillofacial trauma

Virtual reality (VR) surgery using the High Technology Computer Corporation Very Immersive Virtual Experience professional 2(HTC VIVE Pro2) suite is a multi-sensory, holistic surgical training experience. A multimedia combination including videos and three-dimensional interaction in VR has been developed to enable trainees to experience a realistic battlefield environment. The innovation allows trainees to interact with the individual components of the cranialmaxillofacial(CMF) anatomy and apply surgical instruments while watching close-up stereoscopic three-dimensional videos of the surgery. In this study, a novel training tool for the pre-hospital treatment of CMF trauma based on immersive virtual reality (iVR) was developed and validated. Twenty-five CMF surgeons evaluated the application for face and content validity. Using a structured assessment process, the surgeons commented on the content of the developed training tool, its realism and usability and the applicability of VR surgery for CMF trauma rescue simulation training. The results confirmed the applicability of VR for delivering training in the pre-hospital treatment of CMF trauma. Modifications were suggested to improve the user experience and interactions with the surgical instruments. This training tool is ready for testing with surgical trainees.

Association between severe preoperative hearing impairment and postoperative emergence agitation among elderly patients undergoing middle ear surgery

BACKGROUND

Hearing impairment is an established independent risk factor for delirium.Whether preoperative hearing impairment is associated with postoperative emergence agitation (POEA) in elderly patients remains unknown. This study aimed to investigate the association between preoperative hearing impairment and POEA in elderly patients undergoing ear surgery.

METHODS

This prospective observational study was carried out at an otologic centre in a tertiary hospital between July 15, 2020, and February 28, 2021. Data of 417 elderly patients who underwent microscopic and endoscopic middle ear surgery were analyzed. Pure tone average was used to assess preoperative hearing function, with a PTA ≥ 50 dB indicating severe hearing impairment. POEA was measured using the Richmond Agitation-Sedation Scale. Multiple logistic regression was used to determine the association between preoperative hearing function and POEA.

RESULTS

Of the 417 participants, 45.8% were men, and the median age was 64 (interquartile range: 62-67) years old. Severe preoperative hearing impairment was present in 113 patients (27.1%), and POEA occurred in 42 patients (10.1%). Multiple logistic regression analysis indicated that severe preoperative hearing impairment was associated with an increased risk of POEA (odds ratio: 2.031; 95% confidence interval: 1.044-3.954, P = 0.037).

CONCLUSION

Pending confirmative studies, these findings suggest that severe preoperative hearing impairment could serve as an independent predictor of POEA in older patients undergoing middle ear surgery. These results highlight the need for further research to better understand the biomarker and pathogenesis of POEA, leading to identification of targeted interventions of POEA and improvement of postoperative outcomes in patients.

Evaluation of Bruton tyrosine kinase inhibitors monotherapy and combination therapy in lymphocytic leukemia

BTKi is an effective treatment in chronic lymphocytic leukemia. However, head-to-head clinical trials between BTKi are rare. To explore evidence-based treatment decisions, we conducted this network meta-analysis. We searched in PubMed, Cochrane Library and Embase and selected articles of BTKi treatment in CLL patients, with English restrictions. Objective response rate (ORR), progression-free survival (PFS) and safety were outcomes. Combination therapy and acalabrutinib monotherapy achieved great ORR (greater than 80%). Combination therapy (AO and IR) also performed terrific PFS (> 80%). Compared with ibrutinib monotherapy, zanubrutinib, acalabrutinib and IR showed no significance in overall survival. Diarrhea, hypertension, cardiac events, neutropenia were common adverse events of BTKi therapy. IR had higher incidence of hypertension (0.38, 95% CI 0.28-0.48), and IU was more likely occurred cardiac events. Zanubrutinib monotherapy had lower incidence of total serious adverse reaction (0.42, 95% confidence interval (95% CI): 0.36-0.47),while ibrutinib monotherapy occurred higher adverse reactions of grade ≥ 3 (0.77, 95% CI 0.72-0.82). Although both BTKi monotherapy and combination therapy showed great efficacy, combination therapy did not display priority. Meanwhile, safety of BTKi combination therapy needs to be fully and comprehensively considered.Registration number: CRD42022378732.

High-quality assembly and methylome of a Tibetan wild tree peony genome (Paeonia ludlowii) reveal the evolution of giant genome architecture

Tree peony belongs to one of the Saxifragales families, Paeoniaceae. It is one of the most famous ornamental plants, and is also a promising woody oil plant. Although two Paeoniaceae genomes have been released, their assembly qualities are still to be improved. Additionally, more genomes from wild peonies are needed to accelerate genomic-assisted breeding. Here we assemble a high-quality and chromosome-scale 10.3-Gb genome of a wild Tibetan tree peony, Paeonia ludlowii, which features substantial sequence divergence, including around 75% specific sequences and gene-level differentials compared with other peony genomes. Our phylogenetic analyses suggest that Saxifragales and Vitales are sister taxa and, together with rosids, they are the sister taxon to asterids. The P. ludlowii genome is characterized by frequent chromosome reductions, centromere rearrangements, broadly distributed heterochromatin, and recent continuous bursts of transposable element (TE) movement in peony, although it lacks recent whole-genome duplication. These recent TE bursts appeared during the uplift and glacial period of the Qinghai-Tibet Plateau, perhaps contributing to adaptation to rapid climate changes. Further integrated analyses with methylome data revealed that genome expansion in peony might be dynamically affected by complex interactions among TE proliferation, TE removal, and DNA methylation silencing. Such interactions also impact numerous recently duplicated genes, particularly those related to oil biosynthesis and flower traits. This genome resource will not only provide the genomic basis for tree peony breeding but also shed light on the study of the evolution of huge genome structures as well as their protein-coding genes.

[Establishment of a nomogram prediction model using common preoperative indicators for early weight loss after laparoscopic sleeve gastrectomy]

Objectives: To construct a nomogram prediction model using common preoperative indicators for early weight loss (EWL) 1 year after laparoscopic sleeve gastrectomy (LSG). Methods: Relevant data of obese patients who had undergone LSG from January 2015 to May 2022 in Fujian Medical University Union Hospital and Quanzhou First Hospital Affiliated Fujian Medical University were analyzed. Patients with a history of major abdominal surgery, severe gastroesophageal reflux disease, pregnancy within 1 year after surgery, or who were lost to follow-up were excluded, resulting in a total of 200 patients in the study (190 from Fujian Medical University Union Hospital and 10 from Quanzhou First Hospital Affiliated Fujian Medical University). The participants were 51 men and 149 women of a mean age 29.9±8.2 years and a body mass index (BMI) 38.7±6.5 kg/m2. All patients in this group underwent standardized LSG procedure. Achieving ideal weight (BMI≤25 kg/m2) 1 year after LSG was defined as goal of EWL. Logistic regression analyses were performed to identify factors that independently influenced EWL. These factors were incorporated into the nomogram model. Receiver operating characteristic (ROC) curves (the larger the area under the curve [AUC], the better the predictive ability and accuracy of the model), likelihood ratio test (higher likelihood ratio indicates greater model homogeneity), decision curve analysis (higher net benefit indicates a better model), Akaike information criterion (AIC; smaller AIC indicates a better model), and Bayesian information criterion (BIC; smaller BIC indicates a better model) were used to validate the predictive ability of the column line diagram model. Results: In this study of 200 obese patients who underwent LSG surgery, 136 achieved EWL goal, whereas the remaining 64 did not. The rate of EWL goal achievement of the entire group was 68.0%. Compared with patients who did not achieve EWL goal, those who did had lower BMI, alanine transaminase, aspartate transaminase, triglycerides, and higher cholesterol. Additionally, the proportion of female was higher and the proportions of patients with fatty liver and hypertension lower in those who achieved EWL goal (all P<0.05). Univariate and multivariate logistic regression analysis revealed that preoperative BMI (OR=0.852, 95%CI: 0.796-0.912, P<0.001), alanine transaminase (OR=0.992, 95%CI: 0.985-0.999, P=0.024), presence of fatty liver (OR=0.185, 95%CI: 0.038-0.887, P=0.035) and hypertension (OR=0.374, 95%CI: 0.144-0.969, P=0.043) were independently associated with failure to achieve EWL goal. Cholesterol (OR=1.428, 95%CI: 1.052-1.939, P=0.022) was independently associated with achieving EWL goal. We used the above variables to establish an EWL nomogram model. ROC analysis, the likelihood ratio test, decision curve analysis, and AIC all revealed that the predictive value of the model was better than that of BMI alone (nomogram model vs. BMI: area under the curve 0.840 vs. 0.798, P=0.047; likelihood ratio: 58.785 vs. 36.565, AIC: 193.066 vs. 207.063, BIC: 212.856 vs. 213.660). Conclusion: Our predictive model is more accurate in predicting EWL after LSG compared with using BMI.

[Screen of key characteristic genes of nasopharyngeal carcinoma (NPC) base on machine learning and analysis of their correlation with immune cells]

Objective Machine learning was used to screen the key characteristic genes of nasopharyngeal carcinoma (NPC) and analyze their correlation with immune cells. Methods Download the NPC training datasets (GSE12452 and GSE13597) and the validation dataset (GSE53819) from the Gene Expression Omnibus (GEO). Firstly, the training data sets were merged and screened for differentially expressed genes (DEGs); Secondly, the DEGs were analyzed by gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), gene set enrichment analysis (GSEA), and immune cell infiltration analysis. Next, the least absolute shrinkage and selection operator (LASSO) and support vector machine (SVM) algorithms were used to identify NPC-related genes in the training datasets and examined in the validation dataset, to further identify key genes using the area under curve (AUC) of receiver operating characteristic curve (ROC); Finally, the correlation between the key genes and immune cells was analyzed. Results A total of 55 DEGs were obtained, including 43 down-regulated genes and 12 up-regulated genes. The GO functions were enriched in humoral immune response, cell differentiation, neutrophil activation and chemokine receptor binding. The KEGG were mainly enriched in the IL-17 signaling pathway. The GSEA was enriched in cell cycle, extracellular matrix receptor interactions, cancer pathways and DNA replication. Immune infiltration analysis showed that the expression of naive B cells, memory B cells, and resting memory CD4+ T cells was significantly lower in NPC, while CD8+ T cells, naive CD4+ T cells, activated memory CD4+ T cells, follicular helper T cells, M0 macrophages and M1 macrophages were highly expressed in NPC. Among the feature genes screened by LASSO and SVM, only CCDC19, LAMB1, SPAG6 and RAD51AP1 genes' AUC were greater than 0.9 in both the training and validation datasets and were closely associated with immune cell infiltration. Conclusion The key genes CCDC19, LAMB1, SPAG6 and RAD51AP1 in NPC development are screened by machine learning algorithms, and are closely associated with immune cell infiltration.

The proteasome component PSMD14 drives myelomagenesis through a histone deubiquitinase activity

While 19S proteasome regulatory particle (RP) inhibition is a promising new avenue for treating bortezomib-resistant myeloma, the anti-tumor impact of inhibiting 19S RP component PSMD14 could not be explained by a selective inhibition of proteasomal activity. Here, we report that PSMD14 interacts with NSD2 on chromatin, independent of 19S RP. Functionally, PSMD14 acts as a histone H2AK119 deubiquitinase, facilitating NSD2-directed H3K36 dimethylation. Integrative genomic and epigenomic analyses revealed the functional coordination of PSMD14 and NSD2 in transcriptional activation of target genes (e.g., RELA) linked to myelomagenesis. Reciprocally, RELA transactivates PSMD14, forming a PSMD14/NSD2-RELA positive feedback loop. Remarkably, PSMD14 inhibitors enhance bortezomib sensitivity and fosters anti-myeloma synergy. PSMD14 expression is elevated in myeloma and inversely correlated with overall survival. Our study uncovers an unappreciated function of PSMD14 as an epigenetic regulator and a myeloma driver, supporting the pursuit of PSMD14 as a therapeutic target to overcome the treatment limitation of myeloma.

IGF2BP3-mediated regulation of GLS and GLUD1 gene expression promotes treg-induced immune escape in human cervical cancer

This study aimed to investigate the impact of IGF2BP3, a well-known m6A modification-related protein, on the metabolic and immune microenvironment of human cervical cancer. Bioinformatics analysis was performed to analyze the expression of IGF2BP3 in various databases, and its findings were validated using human cervical cancer tissue microarrays. We conducted a study to investigate the impact of IGF2BP3 on glutamine metabolism in cervical cancer cells through the application of metabolomics and metabolic flow analysis. Additionally, we explored how cervical cancer cells promote immune escape by secreting glutamine-derived lactate in a 3D culture setting. To identify the specific targets of IGF2BP3 that influence glutamine metabolism in cervical cancer, we employed RIP-seq analysis. IGF2BP3 exhibited high expression levels in multiple cervical cancer datasets, and its expression was significantly associated with the prognosis of cervical cancer patients. In mixed 3D cell cultures of cervical cancer and T cells, IGF2BP3 was found to enhance glutamate and glutamine metabolism in cervical cancer cells by up regulating the expression of GLS and GLUD1 genes. Moreover, it influenced the differentiation of Treg cells by promoting lactate production and secretion in cervical cancer, leading to immune escape. Mechanistic analysis revealed that IGF2BP3 stabilized the mRNA of GLS and GLUD1 genes through m6A modification, thereby facilitating glutamate and glutamine metabolism in cervical cancer cells and regulating lactate production. Additionally, we investigated the correlation between GLS, GLUD1 protein expression, and IGF2BP3 expression in human cervical cancer through multicolor immunofluorescence staining. The relevance of IGF2BP3 in the context of Treg cell-associated immune escape in cervical cancer was also confirmed. IGF2BP3 exhibits high expression in human cervical cancer and plays a crucial role in stabilizing the mRNA of GLS and GLUD1 genes, key metabolic enzymes in glutamate and glutamine metabolism, through m6A modification. This process leads to immune escape in cervical cancer by promoting lactate production and secretion.

Data augmentation using continuous conditional generative adversarial networks for regression and its application to improved spectral sensing

Machine learning-assisted spectroscopy analysis faces a prominent constraint in the form of insufficient spectral samples, which hinders its effectiveness. Meanwhile, there is a lack of effective algorithms to simulate synthetic spectra from limited samples of real spectra for regression models in continuous scenarios. In this study, we introduced a continuous conditional generative adversarial network (CcGAN) to autonomously generate synthetic spectra. The labels employed for generating the spectral data can be arbitrarily selected from within the range of labels associated with the real spectral data. Our approach effectively produced spectra using a small spectral dataset obtained from a self-interference microring resonator (SIMRR)-based sensor. The generated synthetic spectra were subjected to evaluation using principal component analysis, revealing an inability to discern them from the real spectra. Finally, to enhance the DNN regression model, these synthetic spectra are incorporated into the original training dataset as an augmentation technique. The results demonstrate that the synthetic spectra generated by CcGAN exhibit exceptional quality and significantly enhance the predictive performance of the DNN model. In conclusion, CcGAN exhibits promising potential in generating high-quality synthetic spectra and delivers a superior data augmentation effect for regression tasks.

Patient Journey Toward a Diagnosis of Light Chain Amyloidosis in a National Sample: Cross-Sectional Web-Based Study

BACKGROUND

Systemic light chain (AL) amyloidosis is a rare and multisystem disease associated with increased morbidity and a poor prognosis. Delayed diagnoses are common due to the heterogeneity of the symptoms. However, real-world insights from Chinese patients with AL amyloidosis have not been investigated.

OBJECTIVE

This study aimed to describe the journey to an AL amyloidosis diagnosis and to build an in-depth understanding of the diagnostic process from the perspective of both clinicians and patients to obtain a correct and timely diagnosis.

METHODS

Publicly available disease-related content from social media platforms between January 2008 and April 2021 was searched. After performing data collection steps with a machine model, a series of disease-related posts were extracted. Natural language processing was used to identify the relevance of variables, followed by further manual evaluation and analysis.

RESULTS

A total of 2204 valid posts related to AL amyloidosis were included in this study, of which 1968 were posted on haodf.com. Of these posts, 1284 were posted by men (median age 57, IQR 46-67 years); 1459 posts mentioned renal-related symptoms, followed by heart (n=833), liver (n=491), and stomach (n=368) symptoms. Furthermore, 1502 posts mentioned symptoms related to 2 or more organs. Symptoms for AL amyloidosis most frequently mentioned by suspected patients were nonspecific weakness (n=252), edema (n=196), hypertrophy (n=168), and swelling (n=140). Multiple physician visits were common, and nephrologists (n=265) and hematologists (n=214) were the most frequently visited specialists by suspected patients for initial consultation. Additionally, interhospital referrals were also commonly seen, centralizing in tertiary hospitals.

CONCLUSIONS

Chinese patients with AL amyloidosis experienced referrals during their journey toward accurate diagnosis. Increasing awareness of the disease and early referral to a specialized center with expertise may reduce delayed diagnosis and improve patient management.

Discovery of zolinium TSG1180 as a novel agonist of transgelin-2 for treating asthma

Asthma is a complex and heterogeneous respiratory disease that causes serious social and economic burdens. Current drugs such as β2-agonists cannot fully control asthma. Our previous study found that Transgelin-2 is a potential target for treating asthmatic pulmonary resistance. Herein, we discovered a zolinium compound, TSG1180, that showed a strong interaction with Transgelin-2. The equilibrium dissociation constants (KD) of TSG1180 to Transgelin-2 were determined to be 5.363 × 10-6 and 9.81 × 10-6 M by surface plasmon resonance (SPR) and isothermal titration calorimetry (ITC). Cellular thermal shift assay (CETSA) results showed that the thermal stability of Transgelin-2 increased after coincubation of TSG1180 with lysates of airway smooth muscle cells (ASMCs). Molecular docking showed that Arg39 may be the key residue for the binding. Then, the SPR result showed that the binding affinity of TSG1180 to Transgelin-2 mutant (R39E) was decreased by 1.69-fold. Real time cell analysis (RTCA) showed that TSG1180 treatment could relax ASMCs by 19 % (P < 0.05). Once Transgelin-2 was inhibited, TSG1180 cannot induce a relaxation effect, suggesting that the relaxation effect was specifically mediated by Transgelin-2. In vivo study showed TSG1180 effectively reduced pulmonary resistance by 64 % in methacholine-induced mice model (P < 0.05). Furthermore, the phosphorylation of Ezrin at T567 was increased by 8.06-fold, the phosphorylation of ROCK at Y722 was reduced by 38 % and the phosphorylation of RhoA at S188 was increased by 52 % after TSG1180 treatment. These results suggested that TSG1180 could be a Transgelin-2 agonist for further optimization and development as an anti-asthma drug.

Mechanism of E2F1 in the proliferation, migration, and invasion of endometrial carcinoma cells via the regulation of BMI1 transcription

BACKGROUND

Endometrial carcinoma (EC) is the most prevalent gynecological cancer. Transcription factor (TF) regulates a large number of downstream target genes and is a key determinant of all physiological activities, including cell proliferation, differentiation, apoptosis, and cell cycle. The transcription factor E2F1 shows prominent roles in EC. BMI1 is a member of Polycomb suppressor Complex 1 (PRC1) and has been shown to be associated with EC invasiveness. It is currently unclear whether E2F1 can participate in the proliferation, migration, and invasion processes of EC cells by regulating BMI1 transcription.

OBJECTIVE

We investigated whether E2F1 could participate in the proliferation, migration, and invasion processes of EC cells by regulating BMI1 transcription, in order to further clarify the pathogenesis and etiology of EC, and provide reference for identifying potential therapeutic targets and developing effective prevention and treatment strategies for this disease.

METHODS

Human endometrial epithelial cells (hEECs) and human EC cell lines were selected. E2F1 expression was assessed by Western blot. E2F1 was silenced in AN3CA or overexpressed in HEC-1 by transfections, or E2F1 was silenced and BMI1 was overexpressed in AN3CA by cotransfection. Cell proliferation, migration, and invasion were detected by MTT, wound healing, and Transwell assays. The binding sites between E2F1 and BMI1 promoters were predicted through JASPAR website, and the targeted binding was verified by dual-luciferase report and ChIP assays.

RESULTS

E2F1 was up-regulated in human EC cell lines, with its expression highest in AN3CA, and lowest in HEC-1. AN3CA invasion, migration, and proliferation were repressed by E2F1 knockdown, while those of HEC-1 cells were promoted by E2F1 overexpression. E2F1 overexpression increased the activity of wild type BMI1 reporter vector promoter, while this promotion was weakened after mutation of the predicted binding site in the BMI1 promoter. In the precipitated E2F1, BMI1 promoter site level was higher than that of IgG immunoprecipitant. BMI1 silencing suppressed AN3CA cell growth. BMI1 overexpression partially abrogated E2F1 silencing-inhibited EC cell growth.

CONCLUSION

E2F1 promoted EC cell proliferation, invasion, and migration by promoting the transcription of BMI1.

Clinical-functional brain connectivity signature predicts longitudinal symptom improvement after acupuncture treatment in patients with functional dyspepsia

Whilst acupuncture has been shown to be an effective treatment for functional dyspepsia (FD), its efficacy varies significantly among patients. Knowing beforehand how each patient responds to acupuncture treatment will facilitate the ability to produce personalized prescriptions, therefore, improving acupuncture efficacy. The objective of this study was to construct the prediction model, based on the clinical-neuroimaging signature, to forecast the individual symptom improvement of FD patients following a 4-week acupuncture treatment and to identify the critical predictive features that could potentially serve as biomarkers for predicting the efficacy of acupuncture for FD. Clinical-functional brain connectivity signatures were extracted from samples in the training-test set (100 FD patients) and independent validation set (60 FD patients). Based on these signatures and support vector machine algorithms, prediction models were developed in the training test set, followed by model performance evaluation and predictive features extraction. Subsequently, the external robustness of the extracted predictive features in predicting acupuncture efficacy was evaluated by the independent validation set. The developed prediction models possessed an accuracy of 88% in predicting acupuncture responders, as well as an R2 of 0.453 in forecasting symptom relief. Factors that contributed significantly to stronger responsiveness of patients to acupuncture therapy included higher resting-state functional connectivity associated with the orbitofrontal gyrus, caudate, hippocampus, and anterior insula, as well as higher baseline scores of the Symptom Index of Dyspepsia and shorter durations of the condition. Furthermore, the robustness of these features in predicting the efficacy of acupuncture for FD was verified through various machine learning algorithms and independent samples and remained stable in univariate and multivariate analyses. These findings suggest that it is both feasible and reliable to predict the efficacy of acupuncture for FD based on the pre-treatment clinical-neuroimaging signature. The established prediction framework will promote the identification of suitable candidates for acupuncture treatment, thereby improving the efficacy and reducing the cost of acupuncture for FD.

FTO-mediated LINC01134 stabilization to promote chemoresistance through miR-140-3p/WNT5A/WNT pathway in PDAC

Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive cancer most frequently detected at an advanced stage that limits treatment options to systemic chemotherapy, which has provided only marginal positive clinical outcomes. Currently, the first-line chemotherapeutic agent for PDAC is gemcitabine (GEM). However, the chemotherapy resistance to GEM is often overlooked in the clinical treatment of PDAC due to the lack of effective biological markers. Therefore, it is crucial to find new prognostic markers and therapeutic targets for patients with PDAC. In this study, we identified a novel regulatory mechanism in the development of resistance to GEM in PDAC. Here, we report that LINC01134 was significantly upregulated in primary tumors from PDAC patients. In vitro and in vivo functional studies revealed that LINC01134 promotes PDAC resistance to GEM through facilitating stem cell features and modulating the cell cycle. Mechanistically, LINC01134 interactes with tumor suppressor miR-497-5p in PDAC cells. Increased LINC01134 downregulates miR-140-3p to promotes the oncogenic WNT5A expression. Moreover, m6A demethylase FTO participated in the upregulation of LINC01134 by maintaining LINC01134 mRNA stability through YTHDF2. Taken together, the present study suggested FTO-mediated LINC01134 stabilization to promote chemotherapy resistance to GEM through miR-140-3p/WNT5A/WNT pathway in PDAC. Our study identified new prognostic markers and new therapeutic targets for patients with PDAC.

[Efficacy and safety analysis of a combination regimen with BCL-2 inhibitor in relapsed/refractory primary systemic light chain amyloidosis with t(11;14) from a single center]

Objective: To explore the efficacy and safety of BCL-2 inhibitor-based treatment in patients with relapsed/refractory t (11; 14) primary systemic light chain amyloidosis. Methods: This was a retrospective case series study. Ten patients with relapsed/refractory t(11;14) primary systemic light chain amyloidosis who had all received treatment with a combination regimen including the BCL-2 inhibitor venetoclax from January 2018 to November 2022 at the Hematology Department of Peking University People's Hospital were included. Adverse events, and hematological and organ responses were evaluated. Results: The median age of the ten enrolled patients was 59 (range 41-78) years, and the male to female ratio was 8∶2. Except for one patient, a very good partial or better response was achieved in 8/9 patients and one patient obtained a partial response. The overall response rate was 100%. The median time to achieve a hematological response was 60 (range 24-236) days. At least one organ response was observed in 7/9 patients. With a median follow-up of 18 months, one patient experienced hematological progression and one patient died. Grade 3 adverse events included lymphocytopenia (3 cases), anemia (1 case), diarrhea (1 case), and appendicitis (1 case). One patient died of pulmonary fungal infection two months after completion of treatment, which was not excluded as being treatment related. Conclusion: A combination regimen including BCL-2 inhibitors in patients with relapsed/refractory t(11;14) primary systemic light chain amyloidosis is a potentially safe and effective treatment option that warrants further investigation.

Outcome and characteristics of nonsecretory multiple myeloma compared with secretory multiple myeloma: a retrospective multicenter study from China

BACKGROUND

Nonsecretory multiple myeloma (NSMM) is a rare type of multiple myeloma (MM). Few studies have described the clinical features and outcomes of NSMM in novel agents. Additionally, the prognostic characteristics have remained controversial in recent years.

PURPOSE

To investigate the clinical and prognostic features of NSMM and explore the prognostic value of involved free light chain (FLC) levels in NSMM patients in the Chinese population.

METHODS

We retrospectively enrolled 176 newly diagnosed NSMM cases between January 2005 and December 2021 from 19 clinical centers in China. The control group was selected using a 1:4 propensity score matching technique of newly diagnosed secretory MM, with age, sex and diagnosis time as the matching variables.

RESULTS

The median age of NSMM patients was 60 years, and 22.6% of patients were classified as ISS stage 3. The ORR of the NSMM patients was 87.4%, and the CR was 65.8%. Compared to the matched secretory MM patients, more NSMM patients achieved CR after first-line treatment (65.8% vs. 36%, p = 0.000). The ORR of first-line treatment was not significantly different between NSMM and secretory MM (89.45% vs. 84.7%, p = 0.196). The first-line PFS was 27.5 m and 23 m (p = 0.063), and the median OS was 81 m and 70 months (p = 0.401). However, for CR-achieved NSMM and CR-not-achieved NSMM patients, the median PFS was 37 m vs. 16 m (p = 0.021), while the median OS showed no difference (107 m vs. 87 m, p = 0.290). In multivariate analysis, the significant factors for PFS were age ≥ 65 and ISS-3. ISS-3 was the only independent prognostic factor of OS. The iFLC ≥ 50 mg/L group had a high ORR of 97.3%, and the median PFS and OS were 48 m and NR, respectively. Compared to the matched secretory MM, the iFLC ≥ 50 mg/L group also showed more CR and longer OS (NR vs. 70 m, p = 0.006) and PFS (48 m vs. 23 m, p = 0.003).

CONCLUSIONS

Our results revealed that Chinese NSMM patients are younger and have a higher CR but not superior survival. The subgroup of NSMM patients with iFLC ≥ 50 mg/L had better outcomes than secretory MM.

Treatment Rates for Mental Disorders Among Children and Adolescents: A Systematic Review and Meta-Analysis

Importance

Mental disorders among children and adolescents are global health concerns. Published studies have provided discordant results regarding treatment rates for mental disorders among youths.

Objective

To estimate combined treatment rates for several common psychiatric disorders among children and adolescents.

Data Sources

PubMed, Web of Science, PsycINFO, Scopus, and Embase were searched from database inception until September 23, 2022, and supplemented with hand-searching of reference lists.

Study Selection

Included studies were those that used validated methods to report treatment rates for any mental disorder, depressive disorders, anxiety disorders, attention-deficit/hyperactivity disorder (ADHD), and behavior disorders among children and adolescents.

Data Extraction and Synthesis

This study followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) reporting guideline. Two reviewers independently assessed study eligibility, extracted data, and scored quality. Studies with a Joanna Briggs Institute score of 5 or more were included in the meta-analysis. Treatment rates were pooled using random-effects models. Subgroup analyses were performed to investigate the association with treatment rates of factors, such as year of data collection, World Health Organization region, age, income level, timeframe of diagnosis, informant source, service type, sample origin, and internalizing or externalizing disorder.

Main Outcomes and Measures

Treatment rates for mental disorders among children and adolescents were the main outcomes, measured as percentage estimates.

Results

Forty studies were included in the analysis, comprising 310 584 children and adolescents, with boys accounting for 39% of participants (sex was not reported in 10 studies). The pooled treatment rate was 38% (95% CI, 30%-45%) for any mental disorder, 36% (95% CI, 29%-43%) for depressive disorders, 31% (95% CI, 21%-42%) for anxiety disorders, 58% (95% CI, 42%-73%) for ADHD, and 49% (95% CI, 35%-64%) for behavior disorders. Age, income level, and region were significantly associated with the combined treatment rates of mental disorders in children and adolescents. The treatment rate for depressive disorders was higher among adolescents than children (36% [95% CI, 25%-46%] vs 11% [95% CI, 0%-25%]), whereas the treatment rate for anxiety disorders was higher among children than adolescents (64% [95% CI, 52%-75%] vs 20% [95% CI, 9%-30%]). The treatment rate for any mental disorder in lower-middle income countries was 6% (95% CI, 2%-14%), in upper-middle income countries was 24% (95% CI, 2%-47%), and in high-income countries was 43% (95% CI, 35%-52%). For depressive disorders, treatment rates were higher in the Americas (40% [95% CI, 30%-51%]) than in Europe (28% [95% CI, 13%-43%]) and the Western Pacific region (6% [95% CI, 1%-16%]).

Conclusions and Relevance

This study suggests that, in general, the treatment rates for mental disorders among children and adolescents were low, especially for depression and anxiety. Targeted intervention policies and effective measures should be designed and implemented to improve treatment rates of psychiatric disorders among youths.