Nanoindentation Test of Ion-Irradiated Materials: Issues, Modeling and Challenges.

Exposure of metals to neutron irradiation results in an increase in the yield strength and a significant loss of ductility. Irradiation hardening is also closely related to the fracture toughness temperature shift or the ductile-to-brittle transition temperature (DBTT) shift in alloys with a body-centered cubic (bcc) crystal structure. Ion irradiation is an indispensable tool in the study of the radiation effects of materials for nuclear energy systems. Due to the shallow damage depth in ion-irradiated materials, the nanoindentation test is the most commonly used method for characterizing the changes in mechanical properties after ion irradiation. Issues that affect the analysis of irradiation hardening may arise due to changes in the surface morphology and mechanical properties, as well as the inherent complexities in nanoscale indentation. These issues, including changes in surface roughness, carbon contamination, the pile-up effect, and the indentation size effect, with corresponding measures, were reviewed. Modeling using the crystal plasticity finite element method of the nanoindentation of ion-irradiated materials was also reviewed. The challenges in extending the nanoindentation test to high temperatures and to multiscale simulation were addressed.

Prevalence and Rapid Screen Method of Diagnostic Criteria for Psychosomatic Research Syndromes in Human Papillomavirus-Infected Patients.

INTRODUCTION: The early and rapid identification of psychosomatic symptoms is crucial to prevent harmful outcomes in patients with human papillomavirus (HPV) infection in busy comprehensive clinics. This study aimed to explore the prevalence and rapid screening method of the Diagnostic Criteria for Psychosomatic Research-revised (DCPR) syndromes in patients with HPV infection. METHODS: A total of 504 participants underwent a clinical assessment that included DCPR, Diagnostic and Statistical Manual of Mental Disorders, fifth edition (DSM-5), the Social Support Rating Scale (SSRS), the Simplified Coping Style Questionnaire (SCSQ), fear of disease, sociodemographic and clinical characteristics. The prevalence of DCPR syndromes and DSM-5 diagnoses were compared between the HPV-positive and negative patients using χ2 tests. We explored the rapid screen indicator through multiple logistic regression analyses of the participants' psychosocial factors, sociodemographic and clinical characteristics. RESULTS: The incidence of DCPR syndromes in HPV-positive patients (56.6%) was significantly greater than that in HPV-negative patients (17.3%) and DSM-5 diagnoses (8.5%) in the HPV-positive group. Health anxiety, irritable mood, type A behavior, and demoralization were the most common psychosomatic syndromes in HPV-positive patients. As the degree of fear increased from 0 to 5 to 10, the risk of DCPR increased from 1.27 (95% CI: 0.21-7.63) to 3.24 (score range: 1-5, 95% CI: 1.01-10.39) to 9.91 (score range: 6-10, 95% CI: 3.21-30.62) in the HPV-positive group. CONCLUSION: The degree of fear, as an independent risk factor, could be used to quickly screen outpatients with a high risk of DCPR syndrome among women with HPV infection.

A rapid simultaneous detection of duck hepatitis A virus 3 and novel duck reovirus based on RPA CRISPR Cas12a/Cas13a.

The mixed infection of duck hepatitis A virus 3 (DHAV-3) and novel duck reovirus (NDRV) has caused significant losses to the global duck farming industry. On-site point-of-care testing of viruses plays a crucial role in the early diagnosis, prevention, and disease control. Here, we proposed an RPA-CRISPR Cas12a/Cas13a one-pot strategy (DRCFS) for rapid and simultaneous detection of DHAV-3 and NDRV. This method integrated the reaction of RPA and CRISPR Cas12a/Cas13a in a single tube, eliminating the need to open the lid during the intermediate processes and thereby avoiding aerosol contamination. On this basis, we proposed a dual RPA-CRISPR strategy coupled with a lateral flow analysis platform (DRC-LFA). This circumvented the necessity for complex instruments, enabling direct visual interpretation of results, making the test more accessible and user-friendly. Our findings demonstrated that the DRCFS method could detect DHAV-3 and NDRV at concentrations as low as 100 copy/µL, while DRC-LFA achieved limit of 101 copies/µL within 35 min. Furthermore, when DRCFS, DRC-LFA, and qPCR were employed collectively for clinical samples analysis, all three methods yielded consistent results. The specificity, sensitivity, and user-friendly of these methods rendered them invaluable for on-site virus detection.

Waldenström macroglobulinemia presenting as bilateral bloody pleural effusion: A case report.

RATIONALE: Pleural effusion, especially bilateral bloody pleural effusion, is a rare complication of Waldenström macroglobulinemia (WM). Pleural effusion in patients with WM has many causes, such as infection, tumor invasion of the pleura, and rupture of the thoracic duct or its branches. Patients with WM presenting to the respiratory department with chest tightness and shortness of breath need more differential diagnosis by respiratory physicians, which is helpful for effective treatment. Herein, we present a case of MV diagnosis in a patient with bilateral bloody pleural effusion. PATIENT CONCERN: Our patient is a 59-year-old man with WM presenting as having bilateral bloody pleural effusion. INTERVENTIONS: The patient was treated with pleural effusion drainage. After confirming the diagnosis, the patient was treated with rituximab, cyclophosphamide, and dexamethasone. OUTCOMES: Following these treatments, the patient's symptoms improved, and ultrasound showed a decrease in pleural effusion. LESSONS: Despite its favorable prognosis, the cause of pleural effusion in a patient with WM can be challenging to diagnose. The cause of pleural effusion should be considered a differential diagnosis when diagnosing patients diagnosed with WM.

Exploring the Molecular Mechanisms of Huaier on Modulating Metabolic Reprogramming of Hepatocellular Carcinoma: A Study based on Network Pharmacology, Molecular Docking and Bioinformatics.

BACKGROUND: Huaier (Trametes robiniophila Murr), a traditional Chinese medicine, is widely used in China as a complementary and alternative therapy to treat hepatocellular carcinoma (HCC). Past studies have shown that Huaier can arrest the cell cycle, promote apoptosis and inhibit the proliferation of cancer cells. However, how it regulates the metabolism of HCC is still unclear. OBJECTIVE: This study explores the metabolic-related function of Huaier in treating HCC with an in-silico approach. METHODS: A network pharmacology and bioinformatics-based approach was employed to investigate the molecular pathogenesis of metabolic reprogramming in HCC with Huaier. The compounds of Huaier were obtained from public databases. Oral bioavailability and drug likeness were screened using the TCMSP platform. The differential gene expressions between HCC and non-tumor tissue were calculated and used to find the overlap from the targets of Huaier. The enrichment analysis of the overlapped targets by Metascape helped filter out the metabolism-related targets of Huaier in treating HCC. Protein-protein interaction (PPI) network construction and topological screening revealed the hub nodes. The prognosis and clinical correlation of these targets were validated from the cancer genome atlas (TCGA) database, and the interactions between the hub nodes and active ingredients were validated by molecular docking. RESULTS: The results showed that Peroxyergosterol, Daucosterol, and Kaempferol were the primary active compounds of Huaier involved in the metabolic reprogramming of HCC. The top 6 metabolic targets included AKR1C3, CYP1A1, CYP3A4, CYP1A2, CYP17A1, and HSD11B1. The decreased expression of CYP3A4 and increased expression of AKR1C3 were related to the poor overall survival of HCC patients. The molecular docking validated that Peroxyergosterol and Kaempferol exhibited the potential to modulate CYP3A4 and AKR1C3 from a computational perspective. CONCLUSION: This study provided a workflow for understanding the mechanism of Huaier in regulating the metabolic reprogramming of HCC.

Upgrading Gel Electrolytes Through Electrostatic-Induced Dual-Salt Paradigm for Superior Zn-Ion Battery Performance.

Gel electrolytes are gaining attention for rechargeable Zn-ion batteries because of their high safety, high flexibility, and excellent comprehensive electrochemical performances. However, current gel electrolytes still perform at mediocre levels due to incomplete Zn salts dissociation and side reactions. Herein, an electrostatic-induced dual-salt strategy is proposed to upgrade gel electrolytes to tackle intrinsic issues of Zn metal anodes. The competitive coordination mechanism driven by electrostatic repulsion and steric hindrance of dual anions promotes zinc salt dissociation at low lithium salt addition levels, improving ion transport and mechanical properties of gel electrolytes. Li+ ions and gel components coordinate with H2O, reducing active H2O molecules and inhibiting associated side reactions. The dual-salt gel electrolyte enables excellent reversibility of Zn anodes at both room and low temperatures. Zn||Polyaniline cells using the dual-salt gel electrolyte exhibit a high discharge capacity of 180 mAh g-1 and long-term cycling stability over 180 cycles at -20 °C. The dual-salt strategy offers a cost-effective approach to improving gel electrolytes for high-performance flexible Zn-ion batteries.

The non-canonical poly(A) polymerase FAM46C promotes erythropoiesis.

The post-transcriptional regulation of mRNA is a crucial component of gene expression. The disruption of this process has detrimental effects on the normal development and gives rise to various diseases. Searching for novel post-transcriptional regulators and exploring their roles are essential for understanding development and disease. Through a multimodal analysis of red blood cell trait genome-wide association studies (GWAS) and transcriptomes of erythropoiesis, we identify FAM46C, a non-canonical RNA poly(A) polymerase, as a necessary factor for proper red blood cell development. FAM46C is highly expressed in the late stages of the erythroid lineage, and its developmental upregulation is controlled by an erythroid-specific enhancer. We demonstrate that FAM46C stabilizes mRNA and regulates erythroid differentiation in a polymerase activity-dependent manner. Furthermore, we identify transcripts of lysosome and mitochondria components as highly confident in vivo targets of FAM46C, which aligns with the need of maturing red blood cells for substantial clearance of organelles and maintenance of cellular redox homeostasis. In conclusion, our study unveils a unique role of FAM46C in positively regulating lysosome and mitochondria components, thereby promoting erythropoiesis.

Cavity Swelling of 15-15Ti Steel at High Doses by Ion Irradiation.

The titanium-stabilized austenitic stainless steel Fe-15Cr-15Ni, which shows enhanced resistance to irradiation swelling compared with more traditional 316Ti, has been selected as a core material for fast reactors. Data on the evolution of irradiation swelling in 15-15Ti steels at very high doses, which cannot be easily achieved by neutron irradiation, are still lacking. In this paper, the swelling behavior of the titanium-modified austenitic stainless steel 15-15Ti was investigated by pre-implantation of He at room temperature followed by Ni-ion irradiation at 580 °C to peak doses of 120, 240 and 400 dpa. Relatively small cavities were observed in the zone of helium implantation, while large cavities appeared in the region near the damage peak. A correction formula for the dpa curve was proposed and applied to samples with large swelling. It was found that the steady-state swelling rate of 15-15Ti remains at ~1%/dpa even at high doses. By comparing the swelling data of the helium-implanted and helium-free regions at same doses, 70 dpa and 122 dpa, the suppression of swelling by excessive helium can be deduced at such doses.

Magnetic mesoporous Fe3O4@nSiO2@mSiO2 nanoparticles for high-throughput mass spectrometry detection of hydrolyzed products of organophosphorus nerve agents.

Rapid and accurate detection of hydrolyzed products of organophosphorus nerve agents (OPNAs) is an important method to effectively confirm the use of these agents. OPNAs are rapidly hydrolyzed to the methyl phosphonates (MPs) in the environment, which can be used as environmental traceability marker for OPNAs. Herein, magnetic mesoporous materials combined with real-time in situ mass spectrometry (MS) were used to achieve high-throughput detection of MPs. Novel magnetic mesoporous nanoparticles Fe3O4@nSiO2@mSiO2 were synthesized via co-condensation of tetraethyl orthosilicate and cetyltrimethylammonium bromide (CTAB) on the surface of nonporous silica-coated Fe3O4 under alkaline conditions. CTAB templates were removed by the reflux of ethanol (0.0375 mM ammonium nitrate) to form mesoporous SiO2, which has a large specific surface area of 549 m2 g-1 and an excellent magnetization strength of 59.6 emu g-1. A quick, cost-effective, rugged, and safe magnetic preparation method, magnetic QuEChERS, was established with magnetic mesoporous nanoparticles (Fe3O4@nSiO2@mSiO2) as adsorption materials for direct analysis in real-time and tandem MS (DART-MS/MS) of MPs in environmental samples. The method exhibits good linearity (R2 > 0.992) in the range of 20.0-4.00 µg mL-1, the limits of detection were <5.00 ng mL-1, the limits of quantification were <20.0 ng mL-1, and the extraction recoveries were 70.2-98.1%, with relative standard deviations (RSDs) in the range of 1.97-10.6%. Additionally, using this method, analysis of 70 environmental samples could be completed within 20 min. Then, the M-QuEChERS-DART-MS/MS method was applied to the 52nd Organisation for the Prohibition of Chemical Weapons (OPCW) environmental spiked samples analysis, where the accuracy was 95.2-116%, and the RSD was 1.16-7.83%. The results demonstrated that Fe3O4@nSiO2@mSiO2 based on the QuEChERS method can quickly and efficiently remove the matrix of environmental samples and when coupled with the DART-MS/MS can achieve high-throughput determination of MPs in environmental samples.

Comparative study on risk prediction model of type 2 diabetes based on machine learning theory: a cross-sectional study.

OBJECTIVES: To compare the prediction effects of six models based on machine learning theories, which can provide a methodological reference for predicting the risk of type 2 diabetes mellitus (T2DM). SETTING AND PARTICIPANTS: This study was based on the monitoring data of chronic disease risk factors in Dongguan residents from 2016 to 2018. The multistage cluster random sampling method was adopted at each monitoring site, and 4157 people were finally selected. In the initial population, we excluded individuals with more than 20% missing data and eventually included 4106 subjects. DESIGN: K nearest neighbour algorithm and synthetic minority oversampling technique were used to process the data. Single factor analysis was used for preliminary selection of variables. The 10-fold cross-validation was used to optimise the parameters of some models. The accuracy, precision, recall and area under receiver operating characteristic curve (AUC) were used to evaluate the prediction effect of models, and Delong test was used to analyse the differences of AUC values of each model. RESULTS: After balancing data, the sample size increased to 8013, of which 4023 are patients with T2DM and 3990 in control group. The comparison results of the six models showed that back propagation neural network model has the best prediction effect with 93.7% accuracy, 94.6% accuracy, 92.8% recall and the AUC value of 0.977, followed by logistic model, support vector machine model, CART decision tree model and C4.5 decision tree model. Deep neural network has the worst prediction performance, with 84.5% accuracy, 86.1% precision, 82.9% recall and the AUC value of 0.845. CONCLUSIONS: In this study, six types of risk prediction models for T2DM were constructed, and the predictive effects of these models were compared based on various indicators. The results showed that back propagation neural network based on the selected data set had the best prediction effect.

Rapid detection of carbamate nerve agent analogues using dually functionalized gold nanoclusters.

Carbamate nerve agents (CMNAs) are a type of lethal cholinesterase inhibitor with one or more quaternary amine centres and aromatic rings. CMNAs have been recently added to the Annex on Chemicals of the Chemical Weapons Convention (CWC) and Schedules of Controlled Chemicals of China. In this study, a rapid, sensitive and selective method was developed for the fluorescence detection of ambenonium chloride (AC) through host-guest and electrostatic dual interactions between AC and cyclodextrin/11-mercaptoundecanoic acid (CD/MUA) dually functionalized gold nanoclusters (AuNCs). Through this method, AC was detected with a limit of detection of 10.0 ng/mL. Method evaluation showed high selectivity towards AC over other related compounds. The practical applicability was verified, as satisfactory recoveries were obtained for AC spiked in river water and urine, as well as Proficiency Test samples from Organisation for the Prohibition of Chemical Weapons (OPCW). In addition, a fluorescence sensing array comprising four AuNCs was designed to distinguish six carbamates and structurally similar compounds. This method provides a potential approach for the rapid, sensitive and selective recognition and detection of CMNAs.

Comparison of Effects of Liuzijue Exercise and Conventional Respiratory Training on Patients after Cardiac Surgery: A Randomized Controlled Trial.

OBJECTIVE: To evaluate the feasibility and safety of Liuzijue exercise (LE) for the clinical effect in patients after cardiac surgery. METHODS: Totally 120 patients who underwent cardiac surgery and were admitted to the Cardiothoracic Intensive Care Unit of Nanjing Drum Tower Hospital between July and Oclober, 2022 were allocated to the LE group, the conventional respiratory training (CRT) group, and the control group by a random number table at a ratio of 1:1:1; 40 patients in each group. All patients received routine treatment and cardiac rehabilitation. LE group and CRT group respectively performed LE and CRT once a day for 30 min for 7 days. Control group did not receive specialized respiratory training. The forced vital capacity, forced expiratory volume in 1 s, peak inspiratory flow rate, peak expiratory flow rate, maximum inspiratory pressure, maximum expiratory pressure, modified Barthel index (MBI), and Hamilton Rating Scale for Anxiety (HAM-A) were evaluated before, after 3 and 7 days of intervention. In addition, the postoperative length of hospital stay (LOS) and the adverse events that occurred during the intervention period were compared. RESULTS: A total of 107 patients completed the study, 120 patients were included in the analysis. After 3 days of intervention, the pulmonary function, respiratory muscle strength, MBI and HAM-A of all 3 groups improved compared with that before the intervention (P<0.05 or P<0.01). Compared with the control group, pulmonary function and respiratory muscle strength were significantly improved in the CRT and LE groups (P<0.05 or P<0.01). MBI and HAM-A were significantly improved in the LE group compared with the control and CRT groups (P<0.05 or P<0.01). On the 7th day after intervention, the difference was still statistically significant (P<0.01), and was significantly different from that on the 3rd day (P<0.05 or P<0.01). In addition, on the 7th day of intervention, the pulmonary function and respiratory muscle strength in the LE group were significantly improved compared with those in the CRT group (P<0.01). MBI and HAM-A were significantly improved in the CRT group compared with the control group (P<0.01). There were no significant differences in postoperative LOS among the 3 groups (P>0.05). No training-related adverse events occurred during the intervention period. CONCLUSIONS: LE is safe and feasible for improving pulmonary function, respiratory muscle strength, the ability to complete activities of daily living and for relieving anxiety of patients after cardiac surgery (Registration No. ChiCTR2200062964).

Pregnancy Outcomes of Freeze-All versus Fresh Embryo Transfer in Women with Adenomyosis: A Retrospective Study.

Adenomyosis has been associated with adverse fertility and pregnancy outcomes, and its impact on the outcomes of in vitro fertilization (IVF) has received much attention. It is controversial whether the freeze-all strategy is better than fresh embryo transfer (ET) in women with adenomyosis. Women with adenomyosis were enrolled in this retrospective study from January 2018 to December 2021 and were divided into two groups: freeze-all (n = 98) and fresh ET (n = 91). Data analysis showed that freeze-all ET was associated with a lower rate of premature rupture of membranes (PROM) compared with fresh ET (1.0% vs. 6.6%, p = 0.042; adjusted OR 0.17 (0.01-2.50), p = 0.194). Freeze-all ET also had a lower risk of low birth weight compared with fresh ET (1.1% vs. 7.0%, p = 0.049; adjusted OR 0.54 (0.04-7.47), p = 0.642). There was a nonsignificant trend toward a lower miscarriage rate in freeze-all ET (8.9% vs. 11.6%; p = 0.549). The live birth rate was comparable in the two groups (19.1% vs. 27.1%; p = 0.212). The freeze-all ET strategy does not improve pregnancy outcomes for all patients with adenomyosis and may be more appropriate for certain patients. Further large-scale prospective studies are needed to confirm this result.

Relationship between the expression level of miRNA-4485 and the severity of depressive symptoms in major depressive disorder patients

Background and objectives: Despite the growing pieces of evidence on the relationship between the altered expression level of miRNAs and major depressive disorder (MDD), few studies have focused on the relationship between the altered expression of miRNAs and the severity of depressive symptoms. This study aimed to investigate the relationship between the expression level of miRNA-4485 and the severity of depressive symptoms in major depressive disorder (MDD) patients.MethodsEighty MDD patients without antidepressants and 45 healthy controls were placed and tested for the expression level of miRNA-4485 using quantitative RT‒PCR. At the same time, the Hamilton Depression Scale (HAMD) was used to assess depression symptoms for MDD patients. Twenty-nine out of 80 MDD patients were selected for miRNA expression level testing and symptomatology assessments before and after three weeks of treatment.ResultsThe expression level of miRNA-4485 in the MDD group was significantly overexpressed compared to that in healthy controls (P < 0.05), and the expression level of miRNA-4485 in the higher HAMD group was also much higher than that in the lower HAMD group and healthy controls (P < 0.05). The expression level of miRNA-4485 in MDD patients was negatively correlated with HAMD total score, anxiety/somatization, and bodyweight factor score (P < 0.05), accounting for 9.4%, 12.4% and 5.7%, respectively. MiRNA-4485 significantly predicted MDD and the severity of depressive symptoms (P < 0.05). Compared with that before treatment, the expression level of miRNA-4485 was significantly downregulated after treatment, while the patient's depressive symptoms were improved (p < 0.05). The improvement in depressive symptoms was positively correlated with the downregulation of miRNA-4485, which could significantly predict the effects of antidepressant treatment on MDD (P < 0.05). (AU)

Treatment Progress in Diminished Ovarian Reserve: Western and Chinese Medicine.

Diminished ovarian reserve (DOR), generally defined as a decreased number or quality of oocytes, has a significant impact on quality of life and fertility in women. In recent years, the incidence of DOR has been increasing and the ages of patients are younger. The search for an effective DOR treatment has emerged as one of the preeminent research topics in reproductive health. An effective DOR therapy would improve ovarian function, fertility, and quality of life in patients. In this review we evaluated DOR treatment progress both in Western medicine and Chinese medicine, and elucidated the characteristics of each treatment.

The ADMA-DDAH1 axis in ovarian apoptosis of polycystic ovary syndrome.

Dimethylarginine dimethylaminohydrolase 1 (DDAH1) mainly degrades asymmetric dimethylarginine (ADMA), an endogenous nitric oxide synthase inhibitor. Emerging evidence suggested that plasma ADMA is accumulated in patients with polycystic ovary syndrome (PCOS). However, ADMA-DDAH1 involvement in PCOS pathogenesis is unclear. Here, we used dehydroepiandrosterone (DHEA)-induced PCOS rats and the ovarian granulosa cell line KGN to investigate the effect of the ADMA-DDAH1 pathway on ovarian apoptosis. Moreover, we also quantified the ADMA levels and redox status in human serum specimens, Sprague Dawley rats and KGN cells to investigate the effect of ADMA-DDAH1 on redox status and ovarian apoptosis in PCOS. We enrolled 19 women with PCOS and 17 healthy women (controls) in this study. The women with PCOS had increased serum ADMA levels and decreased glutathione peroxidase (GSH-PX) compared with the controls. In Sprague Dawley rats, 21-day DHEA treatment established PCOS and the rat contained higher ADMA levels in serum and lower DDAH1 expression in ovaries. Moreover, the PCOS rat serum and ovaries exhibited increased levels of the oxidative stress marker malondialdehyde (MDA). ADMA treatment of the KGN cells induced reactive oxygen species accumulation and led to apoptosis. Contrastingly, overexpressing DDAH1 in the KGN cells significantly decreased ADMA levels, enhanced cell viability, and inhibited oxidative stress, while the effect was inverse in DDAH1 knockdown cells. Overall, our results demonstrated that PCOS involves elevated ADMA levels and redox imbalance. The ADMA-DDAH1 pathway exerted a marked effect on oxidative stress and ovarian apoptosis in PCOS. Our findings suggested that strategies for increasing DDAH1 activity in ovarian cells may provide a novel approach for ameliorating PCOS.

Case report: Identification of a frameshift mutation in GC enrichment and the GCC repeat region of the androgen insensitivity receptor (AR) gene in a patient with complete androgen insensitivity syndrome by whole-exome sequencing (WES) combined with specific PCR and deep sequencing.

Background: Androgen insensitivity syndrome (AIS) is an X-linked recessive hereditary disease caused due to a reduced or absent function of the androgen receptor (AR) protein encoded by the AR gene (OMIM-Gene# 313,700). Genetic testing is important in the diagnosis, clinical management, and prevention of AIS (MIM# 300,068). The AR (HGNC: 644) pathogenic variant detection rate ranges from 65% to 95% for patients with complete AIS (CAIS) and 40%-45% for patients with partial androgen insensitivity syndrome (PAIS). Identification of a pathogenic mutation in the AR confirms the diagnosis of AIS, especially in the milder forms that may have a phenotypic overlap with other disorders of sex development. Improvement of the molecular diagnostic rate of AIS is urgently required in clinical practice. We reported the results of the molecular diagnosis of a patient with CAIS who failed previously in either the traditional Sanger sequencing or next-generation sequencing (NGS). Using whole-exome sequencing (WES) combined with a special polymerase chain reaction (PCR) and deep sequencing, we successfully identified a pathogenic variant, a hemizygous mutation (c.1395-1396insGA), in the GC-enriched and unstable GCC repeat regions of the AR gene of the proband. Conclusion: The results may be advantageous for the improvement of the detection rate of AIS, as well as other inherited disorders whose disease-causing genes contain GC-enriched and unstable GCC repeat regions.

Application of back propagation neural network model optimized by particle swarm algorithm in predicting the risk of hypertension.

The structure of a back propagation neural network was optimized by a particle swarm optimization (PSO) algorithm, and a back propagation neural network model based on a PSO algorithm was constructed. By comparison with a general back propagation neural network and logistic regression, the fitting performance and prediction performance of the PSO algorithm is discussed. Furthermore, based on the back propagation neural network optimized by the PSO algorithm, the risk factors related to hypertension were further explored through the mean influence value algorithm to construct a risk prediction model. In the evaluation of the fitting effect, the root mean square error and coefficient of determination of the back propagation neural network based on the PSO algorithm were 0.09 and 0.29, respectively. In the comparison of prediction performance, the accuracy, sensitivity, specificity, and area under the receiver operating characteristic curve of the back propagation neural network based on PSO algorithm were 85.38%, 43.90%, 96.66%, and 0.86, respectively. The results showed that the backpropagation neural network optimized by PSO had the best fitting effect and prediction performance. Meanwhile, the mean impact value algorithm could screen out the risk factors related to hypertension and build a disease prediction model, which can provide clues for exploring the pathogenesis of hypertension and preventing hypertension.

Evolution and significance of the psychosomatic model in gastroenterology.

The biomedical model, which limits itself to finding the attributions of organic disease, is challenged by gastrointestinal (GI) symptoms. Simultaneously, physicians' attribution of GI symptoms to underlying psychological issues is not readily accepted by patients and can negatively affect the clinical rapport between doctor and patient. In reality, psychosocial aspects are involved in many functional disorders and organic diseases, not just in mental disorders. Time is overdue for gastroenterologists to recognise the inadequacy and limitations of conventional gastroenterology and consider the role of psychological, social and biological variables throughout the entire clinical course of the illness, as is shown in George Engel's model. This review discusses the following: (1) the current challenges of using the conventional clinical model for both functional and organic GI illness, (2) the inadequacy and limitations of explaining GI symptoms simply as psychological disorders, (3) the exploration of the symptom-centred, stepped reattribution clinical model, (4) the clarification of psychosomatic medical concepts for use in gastroenterology, and (5) the significance of a systematic and interdisciplinary framework for a comprehensive psychosomatic model in gastroenterology.