Chinese Herbal Medicine for the Treatment of Adult Viral Myocarditis: An Overview of Systematic Reviews and Meta-analyses of Randomized Controlled Trials.

PURPOSE: Viral myocarditis (VMC) is a life-threatening disease that can affect all ages and genders, with middle-aged adults being particularly susceptible. Numerous systematic reviews have been conducted to investigate the efficacy and safety of Chinese herbal medicine (CHM) in treating adult viral myocarditis (AVM). The objective of this study was to conduct a comprehensive overview of systematic reviews and meta-analyses of randomized controlled trials (RCTs) regarding the efficacy and safety of CHM for AVM. METHODS: A comprehensive systematic search was conducted across 8 electronic databases from their inception to June 23, 2022, augmented by manual searches of the gray literature. Systematic reviews were independently selected and data extracted in accordance with predetermined criteria by 2 reviewers. Included systematic reviews were assessed for methodologic and reporting quality using Assessing the Methodological Quality of Systematic Reviews 2 and Preferred Reporting Items for Systematic Reviews and Meta-Analyses. The quality of evidence relating to outcome measures was evaluated using the Grading of Recommendations, Assessment, Development, and Evaluation tool. Recalculation of effect sizes and subsequent determination of 95% CIs were conducted with either a fixed-effects or random-effects model. FINDINGS: The current overview of systematic reviews included a total of 6 systematic reviews, which reported on 67 RCTs with a participant pool of 5611 individuals. The findings of our study indicate that the combination of CHM and Western medications had positive effects on the effective rate, cure rate, ECG recovery, atrial premature contraction/premature ventricular contraction, left ventricular ejection fraction, myocardial enzymes, and improvement of clinical symptoms for AVM. The adverse drug reactions in the combination therapy group were generally less than or lighter than that in the Western medication group (relative risk = 0.79; 95% CI, 0.44-1.40; P > 0.05, I2 = 0). IMPLICATIONS: Our research results provide evidence that combining CHM with Western medicine could offer potential benefits for patients with AVM. However, the number of studies included in our review is limited and the methodologic quality of these studies is modest. Therefore, there are potential uncertainties regarding the conclusion that CHM with Western medication may benefit patients with AVM. We call for more large-scale, high-quality studies with standardized designs to further verify and support our findings. This would promote a better understanding of the efficacy and safety profile of CHM and provide reliable reference evidence for clinical practice and policy making. Moreover, future research should explore optimal drug combinations, examine therapeutic doses and durations of CHM combination therapy, and evaluate its long-term efficacy and safety.

Clinicopathological features, treatment modalities, and prognosis of esophageal neuroendocrine carcinoma: A single-center retrospective study.

OBJECTIVES: Esophageal neuroendocrine carcinoma (ENEC) is a rare cancer that is highly malignant and related to a poor prognosis. In this retrospective study we aimed to elucidate the clinical characteristics, diagnosis and management of patients with ENEC and to evaluate the potential prognostic factors. METHODS: Altogether 82 patients diagnosed with ENEC between January 2009 and December 2020 at the Fudan University Shanghai Cancer Center were retrospectively enrolled. Patients' survival was analyzed using the Kaplan-Meier and log-rank methods. Univariate and multivariate analyses and a Cox regression model were used to identify the prognostic factors. RESULTS: The median overall survival (mOS) was 13 months in all patients. Multivariate analysis revealed that advanced tumor stage (hazard ratio [HR] 2.67, 95% confidence interval [CI] 1.07-6.66, P = 0.0353), liver (HR 3.36, 95% CI 1.53-7.41, P = 0.0026) and lung metastasis (HR 3.37, 95% CI 1.20-9.51, P = 0.0214) were associated with a poor prognosis. While positive chromogranin A (CgA) expression was related to a favorable outcome (HR 0.21, 95% CI 0.09-0.49, P < 0.001). Also, patients had adjustment of chemotherapy (dose reduction or less than three cycles) were prone to a worse prognosis compared with those did not (HR 4.36, 95% CI 2.10-9.08, P < 0.001). CONCLUSION: In patients with ENEC, advanced cancer stage, adjustment of chemotherapy, liver and lung metastasis were associated with a poor survival, while CgA expression was related to a favorable prognosis.

Secular Trends in Gastric and Esophageal Cancer Attributable to Dietary Carcinogens From 1990 to 2019 and Projections Until 2044 in China: Population-Based Study.

BACKGROUND: Little is known about trends in or projections of the disease burden of dietary gastric and esophageal cancer (GEC) in China. OBJECTIVE: We aim to report GEC deaths and disability-adjusted life years (DALYs) from 1990 to 2019, predict them through 2044, and decompose changes in terms of population growth, population aging, and epidemiological changes. METHODS: We retrieved dietary GEC data from the Global Burden of Disease (GBD) online database and used joinpoint regression and age-period-cohort models to analyze trends in dietary GEC deaths and DALYs from 1990 to 2019 in China. We used a Bayesian age period cohort model of integrated nested Laplace approximations to predict the disease burden of GEC through 2044 and obtained the estimated population of China from 2020 to 2050 from the Global Health Data Exchange website. Finally, we applied a recently developed decomposition method to attribute changes between 2019 and 2044 to population growth, population aging, and epidemiological changes. RESULTS: The summary exposure values and age-standardized rates decreased significantly from 1990 to 1999, with percentage changes of -0.06% (95% CI -0.11% to -0.02%) and -0.05% (95% CI -0.1% to -0.02%), respectively. From 1990 to 2019, for dietary esophageal cancer, the percentage change in age-standardized mortality rate (ASMR) was -0.79% (95% CI -0.93% to -0.58%) and the percentage change in age-standardized DALY rate (ASDR) was -0.81% (95% CI -0.94% to -0.61%); these were significant decreases. For dietary stomach cancer, significant decreases were also observed for the percentage change in ASMR (-0.43%, 95% CI -0.55% to -0.31%) and the percentage change in ASDR (-0.47%, 95% CI -0.58% to -0.35%). In addition, data from both the joinpoint regression and annual percentage change analyses demonstrated significantly decreasing trends for the annual percentage change in ASMR and ASDR for GEC attributable to dietary carcinogens. The overall annual percentage change (net drift) was -5.95% (95% CI -6.25% to -5.65%) for dietary esophageal cancer mortality and -1.97% (95% CI -2.11% to -1.83%) for dietary stomach cancer mortality. Lastly, in 2044, dietary esophageal cancer deaths and DALYs were predicted to increase by 192.62% and 170.28%, respectively, due to age structure (121.58% and 83.29%), mortality change (76.81% and 92.43%), and population size (-5.77% and -5.44%). In addition, dietary stomach cancer deaths and DALYs were predicted to increase by 118.1% and 54.08%, with age structure, mortality rate change, and population size accounting for 96.71% and 53.99%, 26.17% and 3.97%, and -4.78% and -3.88% of the change, respectively. CONCLUSIONS: Although the predicted age-standardized rates of mortality and DALYs due to dietary GEC show downward trends, the absolute numbers are still predicted to increase in the next 25 years due to rapid population aging in China.

Mental health status and related influencing factors in patients with COVID-19.

BACKGROUND: The outbreak of the Corona Virus Disease 2019 (COVID-2019) has resulted in a significant number of diagnosed patients requiring treatment in designated hospitals. However, limited evidence exists regarding the prevalence of mental health problems and associated psychological factors in COVID-19 patients. OBJECTIVES: This study investigated the prevalence rates of anxiety, depression, and insomnia among COVID-19 patients, as well as explored the associations between these mental health problems and psychological factors. METHODS: A cross-sectional study was conducted among 387 COVID-19 patients in a designated shelter hospital. Online measures were used to assess anxiety, depression, insomnia, social support, coping styles, and emotional regulation. Data were analyzed to determine the prevalence rates of mental health problems and examine the associations between these problems and the psychological factors. RESULTS: The results revealed high prevalence rates of anxiety (21.80%), depression (49.0%), and insomnia (63.70%) among COVID-19 patients. Objective social support scores and positive coping style scores were significantly associated with lower levels of anxiety, depression, and insomnia, respectively. Conversely, high negative coping style scores, higher education level, and self-perceived illness severity, were significantly related to higher levels of anxiety, depression, or insomnia symptoms. Emotional regulation scores did not show a significant association with any of the examined mental health problems. CONCLUSIONS: These findings have implications for guiding psychological interventions tailored to COVID-19 patients in future outbreaks. By targeting social support and promoting adaptive coping strategies, psychological interventions can address the psychological distress experienced by COVID-19 patients.

Sustained release silicon from 3D bioprinting scaffold using silk/gelatin inks to promote osteogenesis.

Repairing extensive bone defects that cannot self-heal has been a clinical challenge. The construction of scaffolds with osteogenic activity through tissue engineering can provide an effective strategy for bone regeneration. This study utilized gelatin, silk fibroin, and Si3N4 as scaffold materials to prepare silicon-functionalized biomacromolecules composite scaffolds using three-dimensional printing (3DP) technology. This system delivered positive outcomes when Si3N4 levels were 1 % (1SNS). The results showed that the scaffold had a porous reticular structure with a pore size of 600-700 µm. The Si3N4 nanoparticles were distributed uniformly in the scaffold. The scaffold could release Si ions for up to 28 days. In vitro experiments showed that the scaffold had good cytocompatibility, promoting the osteogenic differentiation of mesenchymal stem cells (MSCs). In vivo experiments on bone defects in rats showed that the 1SNS group facilitated bone regeneration. Therefore, the composite scaffold system showed potential for application in bone tissue engineering.

Immunogenicity and safety of revaccination of 23-valent pneumococcal polysaccharide vaccine in people aged 60 years and above / 中华流行病学杂志

Objective: To evaluate the immunogenicity and safety of revaccination of 23-valent pneumococcal polysaccharide vaccine (PPV23) in elderly people aged ≥60 years. Methods: The elderly aged ≥60 years with 1 dose of PPV23 vaccination were selected as revaccination group and those without history of pneumococcal vaccine immunization were selected as the first vaccination group. One dose of PPV23 was administered to both groups, and the first blood samples were collected before vaccination while the second blood samples were collected on day 28-40 after vaccination. ELISA was used to detect the concentrations of anti-specific serotype Streptococcus pneumoniae podocyte polysaccharide immunoglobulin G, and the safety of the vaccination was evaluated after 30 days. Results: The geometric mean concentration (GMC) of antibody to 23 serotypes before the vaccination (0.73-13.73 μg/ml) was higher in revaccination group than in the first vaccination group (0.39-7.53 μg/ml), the GMC after the vaccination (1.42-31.65 μg/ml) was higher than that before the vaccination (0.73-13.73 μg/ml) in the revaccination group, and the GMC after the vaccination (1.62-43.76 μg/ml) was higher than that before the vaccination (0.39-7.53 μg/ml) in the first vaccination group; the geometric mean growth multiple in revaccination group (2.16-3.60) was lower than that in the first vaccination group (3.86-16.13); The mean 2-fold antibody growth rate was lower in revaccination group (53.68%, 95%CI: 52.30%-55.06%) than in the first vaccination group (93.16%, 95%CI: 92.18%- 94.15%), all differences were significant (P<0.001). After the vaccination, 13 serotypes of GMC were higher in the first vaccination group than in revaccination group (P<0.001), the differences were not significant for 10 serotypes of GMC (P>0.05). The incidence of local adverse reaction was 19.20% and 13.27% in revaccination group and the first vaccination group, respectively (P=0.174). Conclusions: The antibody level in ≥60 years people who received one dose of PPV23 after a 5-year interval was still higher than that in unvaccinated people. The antibody level decreased after 5 years of the first vaccination, and the antibody level could be rapidly increased by one more dose vaccination, but the overall immune response was lower than that of the first vaccination; revaccination with PPV23 has a good safety.

Association between cardiometabolic diseases and quality of life and the mediation effect of perceived stress / 中华心血管病杂志

Objective: To explore the association between cardiometabolic diseases (CMD) and quality of life, the association between CMD and perceived stress, and the mediation effect of perceived stress on the association between CMD and quality of life, and to provide evidence for the prevention and treatment of CMD and the improvement of quality of life in these patients. Methods: This is a cross-sectional study. Data were collected by the employees' physical examination of a company in Xi'an in 2021. Multiple linear regression models were used to analyze the association between the status of CMD (divided into three categories: no CMD, presence of one kind of CMD, and with≥2 kinds of CMD (≥2 kinds of CMD were defined as cardiometabolic multimorbidity (CMM)), quality of life, and perceived stress. Mediation analysis with a multi-categorical independent variable was conducted to determine the mediation effect of perceived stress on the association between CMD and quality of life. Results: Among all 4 272 participants, 1 457 (34.1%) participants had one kind of CMD and 677 (15.8%) participants had CMM. The average scores for quality of life and perceived stress were (57.5±15.7) and (16.9±7.9), respectively. Compared with participants without CMD, after adjusting for demographic and lifestyle factors, no statistically significant associations were observed between one kind of CMD and perceived stress or quality of life (both P>0.05). Perceived stress did not mediate the association between one kind of CMD and quality of life. However, participants with CMM had lower quality of life and higher perceived stress than participants without CMD. The relative total effect coefficient c (95%CI) and the relative direct effect coefficient c' (95%CI) between CMM and quality of life were -3.71 (-5.04--2.37) and -2.52 (-3.81--1.24) (both P<0.05), respectively. The relative indirect effect coefficient a2b (95%CI) of perceived stress on the association between CMM and quality of life was -1.18 (-1.62--0.77) (P<0.05). The mediation effect size was 31.8%. Conclusions: CMM is negatively associated with quality of life and positively associated with perceived stress. Perceived stress partially mediates the association between CMM and quality of life. Our results suggest that, in addition to preventing and treating CMM actively, efforts should be taken to relieve the perceived stress of people with CMM to improve their quality of life.

Prediction of microvascular invasion in hepatocellular carcinoma with magnetic resonance imaging using models combining deep attention mechanism with clinical features / 南方医科大学学报

OBJECTIVE@#To investigate the consistency and diagnostic performance of magnetic resonance imaging (MRI) for detecting microvascular invasion (MVI) of hepatocellular carcinoma (HCC) and the validity of deep learning attention mechanisms and clinical features for MVI grade prediction.@*METHODS@#This retrospective study was conducted among 158 patients with HCC treated in Shunde Hospital Affiliated to Southern Medical University between January, 2017 and February, 2020. The imaging data and clinical data of the patients were collected to establish single sequence deep learning models and fusion models based on the EfficientNetB0 and attention modules. The imaging data included conventional MRI sequences (T1WI, T2WI, and DWI), enhanced MRI sequences (AP, PP, EP, and HBP) and synthesized MRI sequences (T1mapping-pre and T1mapping-20 min), and the high-risk areas of MVI were visualized using deep learning visualization techniques.@*RESULTS@#The fusion model based on T1mapping-20min sequence and clinical features outperformed other fusion models with an accuracy of 0.8376, a sensitivity of 0.8378, a specificity of 0.8702, and an AUC of 0.8501 for detecting MVI. The deep fusion models were also capable of displaying the high-risk areas of MVI.@*CONCLUSION@#The fusion models based on multiple MRI sequences can effectively detect MVI in patients with HCC, demonstrating the validity of deep learning algorithm that combines attention mechanism and clinical features for MVI grade prediction.

Effects of midazolam combined with propofol on recovery of patients with laparoscopic cholecystectomy / 药学实践杂志

Objective To explore the effect midazolam combination with propofol on postoperative recovery in patients undergoing laparoscopic cholecystectomy. Methods A total of 162 patients who were admitted to the hospital for laparoscopic cholecystectomy from April 2019 to January 2021 were selected. According to different anesthesia methods, they were divided into control group (midazolam anesthesia) and observation group (midazolam combined with propofol anesthesia), with 81 cases in each group. The stress index levels before and after operation, MoCA scores before operation (T0), 24 h after operation (T1) and 48 h after operation (T2), sleep quality at T0, the first day after operation (T3) and the second day after operation (T4), the perioperative recovery were compared between the two groups. Results The levels of Cor and NE, the recovery time of eyes opening, extubation, orientation, and the incidence of adverse reactions in the observation group were lower than those in the control group (P<0.05). Observation group MMSE score when T1, T2, T3, T4 sleep quality score were higher than control group (P<0.05). Conclusion Midazolam combined with propofol was safe and had good postoperative recovery in patients undergoing laparoscopic cholecystectomy.

Glutamate-releasing BEST1 channel is a new target for neuroprotection against ischemic stroke with wide time window

Many efforts have been made to understand excitotoxicity and develop neuroprotectants for the therapy of ischemic stroke. The narrow treatment time window is still to be solved. Given that the ischemic core expanded over days, treatment with an extended time window is anticipated. Bestrophin 1 (BEST1) belongs to a bestrophin family of calcium-activated chloride channels. We revealed an increase in neuronal BEST1 expression and function within the peri-infarct from 8 to 48 h after ischemic stroke in mice. Interfering the protein expression or inhibiting the channel function of BEST1 by genetic manipulation displayed neuroprotective effects and improved motor functional deficits. Using electrophysiological recordings, we demonstrated that extrasynaptic glutamate release through BEST1 channel resulted in delayed excitotoxicity. Finally, we confirmed the therapeutic efficacy of pharmacological inhibition of BEST1 during 6-72 h post-ischemia in rodents. This delayed treatment prevented the expansion of infarct volume and the exacerbation of neurological functions. Our study identifies the glutamate-releasing BEST1 channel as a potential therapeutic target against ischemic stroke with a wide time window.

Clinical application of plasma exchange combined with continuous veno-venous hemofiltration dialysis in children with refractory Kawasaki disease shock syndrome / 中国当代儿科杂志

OBJECTIVES@#To study the role of plasma exchange combined with continuous blood purification in the treatment of refractory Kawasaki disease shock syndrome (KDSS).@*METHODS@#A total of 35 children with KDSS who were hospitalized in the Department of Pediatric Intensive Care Unit, Hunan Children's Hospital, from January 2019 to August 2022 were included as subjects. According to whether plasma exchange combined with continuous veno-venous hemofiltration dialysis was performed, they were divided into a purification group with 12 patients and a conventional group with 23 patients. The two groups were compared in terms of clinical data, laboratory markers, and prognosis.@*RESULTS@#Compared with the conventional group, the purification group had significantly shorter time to recovery from shock and length of hospital stay in the pediatric intensive care unit, as well as a significantly lower number of organs involved during the course of the disease (P<0.05). After treatment, the purification group had significant reductions in the levels of interleukin-6, tumor necrosis factor-α, heparin-binding protein, and brain natriuretic peptide (P<0.05), while the conventional group had significant increases in these indices after treatment (P<0.05). After treatment, the children in the purification group tended to have reductions in stroke volume variation, thoracic fluid content, and systemic vascular resistance and an increase in cardiac output over the time of treatment.@*CONCLUSIONS@#Plasma exchange combined with continuous veno-venous hemofiltration dialysis for the treatment of KDSS can alleviate inflammation, maintain fluid balance inside and outside blood vessels, and shorten the course of disease, the duration of shock and the length of hospital stay in the pediatric intensive care unit.

Identification and analysis of R1-MYB gene family in Rheum palmatum L. based on full-length transcriptome sequencing / 药学学报

As one kind of v-myb avian myeloblastosis viral oncogene homolog (MYB) transcription factors, R1-MYB (MYB-related) family plays an important role in plant growth and development, as well as environmental stress and hormone signal transduction. In this study, R1-MYB family genes in Rheum palmatum L. were systematically screened based on full-length transcriptome sequencing analysis. Firstly, the physicochemical, protein domain and molecular evolution characteristics of the coding proteins were analyzed. Furthermore, the tissue expression levels of R1-MYB genes were analyzed by RNA-seq. We also investigated the expression pattern of RpMYB24 in response to various hormones and abiotic stresses. The results showed that a total of 49 R1-MYB genes were identified, which mainly encoded thermally stable hydrophilic proteins. Most of the deduced proteins were predicted to locate in nucleus. Each protein had a large proportion of random curl and α helix, and also had the W-type conserved amino acids which were the signature of MYB. R1-MYB family members were distributed in five subgroups, including circadian clock associated 1 (CCA1)-like, I-box (GATAAG)-like, CAPRICE (CPC)-like, telomere repeat binding factor (TRF)-like and TATA binding protein (TBP)-like, and the number of CCA1-like was the majority. RNA-seq revealed that 49 R1-MYB genes were differentially expressed in roots, rhizomes and leaves of R. palmatum, and the expression levels of 15 and 23 genes in roots and rhizomes were higher than those in leaves, respectively. RpMYB24 transcript was induced by abscisic acid (ABA), salicylic acid (SA), and methyl jasmonate (MeJA) treatment, and could also significantly respond to injury, low temperature and high temperature stresses except drought stress. This study systematically identified the R1-MYB family genes and their molecular characteristics, better for further gene functional validation, and then provide a scientific basis for the transcriptional regulation mechanism research into rhubarb quality formation.

Enzymatic Digestion Method Coupled with Artificial Intelligence Techniques in Forensic Drowning Diatom Detection / 中山大学学报(医学科学版)

ObjectiveArtificial intelligence （AI） full smear automated diatom detection technology can perform forensic pathology drowning diatom detection more quickly and efficiently than human experts.However， this technique was only used in conjunction with the strong acid digestion method， which has a low extraction rate of diatoms. In this study， we propose to use the more efficient proteinase K tissue digestion method （hereinafter referred to as enzyme digestion method） as a diatom extraction method to investigate the generalization ability and feasibility of this technique in other diatom extraction methods. MethodsLung tissues from 6 drowned cadavers were collected for proteinase K ablation and made into smears， and the smears were digitized using the digital image matrix cutting method and a diatom and background database was established accordingly.The data set was divided into training set， validation set and test set in the ratio of 3：1：1， and the convolutional neural network （CNN） models were trained， internally validated， and externally tested on the basis of ImageNet pre-training. ResultsThe results showed that the accuracy rate of the external test of the best model was 97.65 %， and the area where the model features were extracted was the area where the diatoms were located. The best CNN model in practice had a precision of more than 80 % for diatom detection of drowned corpses. ConclusionIt is shown that the AI automated diatom detection technique based on CNN model and enzymatic digestion method in combination can efficiently identify diatoms and can be used as an auxiliary method for diatom detection in drowning identification.

Application of transport ventilator in the inter-hospital transport of critically ill children / 中国当代儿科杂志

OBJECTIVES@#To study the application value of transport ventilator in the inter-hospital transport of critically ill children.@*METHODS@#The critically ill children in Hunan Children's Hospital who were transported with or without a transport ventilator were included as the observation group (from January 2019 to January 2020; n=122) and the control group (from January 2018 to January 2019; n=120), respectively. The two groups were compared in terms of general data, the changes in heart rate, respiratory rate, and blood oxygen saturation during transport, the incidence rates of adverse events, and outcomes.@*RESULTS@#There were no significant differences between the two groups in sex, age, oxygenation index, pediatric critical illness score, course of disease, primary disease, heart rate, respiratory rate, and transcutaneous oxygen saturation before transport (P>0.05). During transport, there were no significant differences between the two groups in the changes in heart rate, respiratory rate, and transcutaneous oxygen saturation (P>0.05). The incidence rates of tracheal catheter detachment, indwelling needle detachment, and sudden cardiac arrest in the observation group were lower than those in the control group during transport, but the difference was not statistically significant (P>0.05). Compared with the control group, the observation group had significantly shorter duration of mechanical ventilation and length of stay in the pediatric intensive care unit and significantly higher transport success rate and cure/improvement rate (P<0.05).@*CONCLUSIONS@#The application of transport ventilator in the inter-hospital transport can improve the success rate of inter-hospital transport and the prognosis in critically ill children, and therefore, it holds promise for clinical application in the inter-hospital transport of critically ill children.

Research on the variants of FGFR1 and CEP290 genes in idiopathic hypogonadotropin hypogonadism.

Idiopathic hypogonadotropic hypogonadism (IHH) is a rare endocrine disease characterized by gonadal dysplasia. According to whether the sense of smell is affected, this disorder is classified into Kallmann syndrome (KS) and normosmic isolated hypogonadotropic hypogonadism (nIHH). In this study, we reported a case of nIHH patient and explored the pathogenic mechanism of FGFR1 in nIHH. A FGFR1 variant (c.2008G>A, p.E670K) and a CEP290 variant (c.964G>A, p.D322N) were detected by the whole exome sequencing in this nIHH patient. Bioinformatic analysis revealed that this FGFR1 variant (c.2008G>A) causes structural perturbations in TK2 domain demonstrating that this variant result in FGFR1 loss-of-function and abnormal signaling. The identification of an additional CEP290 variant (c.964G>A) indicated that CEP290 might play a potential role in developmental abnormalities and inhibition of GnRH neuron release. A protein interaction network analysis showed that CEP290 was predicted to interact with FGFR1. In summary, our study identified the potential pathogenic mechanism(s) of the novel FGFR1 variant and indicated that CEP290 might play a role in the GnRH neuron migration route. Our findings expand the mutation spectrum of FGFR1 and CEP290 and provide a reference for clinical diagnosis and treatment of IHH.

Real-time intelligent classification of COVID-19 and thrombosis via massive image-based analysis of platelet aggregates

Microvascular thrombosis is a typical symptom of COVID-19 and shows similarities to thrombosis. Using a microfluidic imaging flow cytometer, we measured the blood of 181 COVID-19 samples and 101 non-COVID-19 thrombosis samples, resulting in a total of 6.3 million bright-field images. We trained a convolutional neural network to distinguish single platelets, platelet aggregates, and white blood cells and performed classical image analysis for each subpopulation individually. Based on derived single-cell features for each population, we trained machine learning models for classification between COVID-19 and non-COVID-19 thrombosis, resulting in a patient testing accuracy of 75%. This result indicates that platelet formation differs between COVID-19 and non-COVID-19 thrombosis. All analysis steps were optimized for efficiency and implemented in an easy-to-use plugin for the image viewer napari, allowing the entire analysis to be performed within seconds on mid-range computers, which could be used for real-time diagnosis.

MicroRNA-211-5p as a Biomarker in Early Detection of Uremic Vascular Calcification among Patients with End Stage Renal Disease

Background: Vascular calcification (VC) is a serious pathological manifestation of vascular terminals and is an important pathological basis of cardiovascular diseases in patients with end-stage renal disease (ESRD). This study explored the clinical value of serum microRNA-211-5p (miR-211-5p) in VC in patients with ESRD, this study was designed. Methods: The relative expression of miR-211-5p in the serum of the calcified group and the non-calcified group was quantified by quantitative reverse transcription polymerase chain reaction. The clinical biochemical indexes and the expression differences in miR-211-5p expression in the serum of groups were compared by two independent samples t-test or nonparametric test or one-way analysis of variance test. The receiver operating characteristic (ROC), Kaplan-Meier, and Cox regression analysis were carried out to analyze the predictive value of serum miR-211-5p in patients with ESRD. Results: The relative quantification of serum miR-211-5p was lessened in calcified group and gradually decreased with the progression of VC. Serum miR-211-5p had a high diagnostic accuracy in the diagnosis of VC progression in ESRD patients. Kaplan-Meier and Cox regression methods revealed that miR-211-5p might be an independent biomarker for prognosis of ESRD patients Conclusions: MiR-211-5p is a potential diagnostic and prognostic marker of VC in patients with ESRD (AU)

Comparison among Four Deep Learning Image Classification Algorithms in AI-based Diatom Test.

OBJECTIVES: To select four algorithms with relatively balanced complexity and accuracy among deep learning image classification algorithms for automatic diatom recognition, and to explore the most suitable classification algorithm for diatom recognition to provide data reference for automatic diatom testing research in forensic medicine. METHODS: The "diatom" and "background" small sample size data set (20 000 images) of digestive fluid smear of corpse lung tissue in water were built to train, validate and test four convolutional neural network (CNN) models, including VGG16, ResNet50, InceptionV3 and Inception-ResNet-V2. The receiver operating characteristic curve (ROC) of subjects and confusion matrixes were drawn, recall rate, precision rate, specificity, accuracy rate and F1 score were calculated, and the performance of each model was systematically evaluated. RESULTS: The InceptionV3 model achieved much better results than the other three models with a balanced recall rate of 89.80%, a precision rate of 92.58%. The VGG16 and Inception-ResNet-V2 had similar diatom recognition performance. Although the performance of diatom recall and precision detection could not be balanced, the recognition ability was acceptable. ResNet50 had the lowest diatom recognition performance, with a recall rate of 55.35%. In terms of feature extraction, the four models all extracted the features of diatom and background and mainly focused on diatom region as the main identification basis. CONCLUSIONS: Including the Inception-dependent model, which has stronger directivity and targeting in feature extraction of diatom. The InceptionV3 achieved the best performance on diatom identification and feature extraction compared to the other three models. The InceptionV3 is more suitable for daily forensic diatom examination.

ALYREF associated with immune infiltration is a prognostic biomarker in hepatocellular carcinoma.

BACKGROUND: Although ALYREF has been demonstrated to have a role in a number of malignancies, its role in hepatocellular carcinoma (HCC) has received little attention. Our objective was to research at the prognostic value, biological role and relevance of ALYREF to the immune system in HCC. METHODS: The expression of ALYREF and its relationship with clinical parameters of HCC patients were analyzed by liver cancer cohort (LIHC) of The Cancer Genome Atlas. The expression and prognosis were verified by immunohistochemistry experiments. Gene transfection, CCK-8, scratch healing, transwell invasion and flow cytometry were used to assess the molecular function of ALYREF in vitro. The TIMER and TISIDB online data portals were used to assess the relevance of ALYREF to immunization. Stepwise regression analysis of ALYREF-related immune genes in the LIHC training set was used to construct a prognostic risk prediction model. Also, construct a nomogram to predict patient survival. The testing set for internal verification. RESULTS: Knockdown of ALYREF changed the biological phenotypes of HCC cells, such as proliferation, apoptosis, and invasion. In addition, the expression of ALYREF in HCC affected the level of immune cell infiltration and correlated with the overall survival time of patients. The constructed immune prognostic model allows for a valid assessment of patients. CONCLUSION: ALYREF is increased in HCC, has an impact on cellular function and the immune system, and might be used as a prognostic marker.

Comparison among Four Deep Learning Image Classification Algorithms in AI-based Diatom Test / 法医学杂志

OBJECTIVES@#To select four algorithms with relatively balanced complexity and accuracy among deep learning image classification algorithms for automatic diatom recognition, and to explore the most suitable classification algorithm for diatom recognition to provide data reference for automatic diatom testing research in forensic medicine.@*METHODS@#The "diatom" and "background" small sample size data set (20 000 images) of digestive fluid smear of corpse lung tissue in water were built to train, validate and test four convolutional neural network (CNN) models, including VGG16, ResNet50, InceptionV3 and Inception-ResNet-V2. The receiver operating characteristic curve (ROC) of subjects and confusion matrixes were drawn, recall rate, precision rate, specificity, accuracy rate and F1 score were calculated, and the performance of each model was systematically evaluated.@*RESULTS@#The InceptionV3 model achieved much better results than the other three models with a balanced recall rate of 89.80%, a precision rate of 92.58%. The VGG16 and Inception-ResNet-V2 had similar diatom recognition performance. Although the performance of diatom recall and precision detection could not be balanced, the recognition ability was acceptable. ResNet50 had the lowest diatom recognition performance, with a recall rate of 55.35%. In terms of feature extraction, the four models all extracted the features of diatom and background and mainly focused on diatom region as the main identification basis.@*CONCLUSIONS@#Including the Inception-dependent model, which has stronger directivity and targeting in feature extraction of diatom. The InceptionV3 achieved the best performance on diatom identification and feature extraction compared to the other three models. The InceptionV3 is more suitable for daily forensic diatom examination.