Exogenous neuritin restores auditory following cochlear spiral ganglion neuron denervation of gerbils.

Spiral ganglion neurons (SGNs) transmit sound signals received by hair cells to the auditory center to produce hearing. The quantity and function are important for maintaining normal hearing function. Limited by the regenerative capacity, SGNs are unable to regenerate spontaneously after injury. Various neurotrophic factors play an important role in the regeneration process. Neuritin is a neurite growth factor that plays an important role in neural plasticity and nerve injury repair. In this study, we used bioinformatics analysis to show that neuritin was negatively correlated with cochlear damage. Then, we aimed to establish a cochlear spiral ganglion-specific sensorineural deafness model in gerbils using ouabain and determine the effects of exogenous neuritin protein in protecting damaged cochlear SGNs and repairing damaged auditory nerve function. The provides a new research strategy and scientific basis for the prevention and treatment of sensorineural deafness caused by the loss of SGNs. We were discovered that neuritin is expressed throughout the development of the gerbil cochlea, primarily in the SGNs and Corti regions. The expression of neuritin was negatively correlated with the sensorineural deafness induced by ouabain. In vitro and in vivo revealed that neuritin significantly maintained the number and arrangement of SGNs and nerve fibers in the damaged cochlea and effectively protected the high-frequency listening function of gerbils.

Retrospective comparative study of the efficacy of JAK inhibitor (tofacitinib) in the treatment of systemic sclerosis-associated interstitial lung disease.

The oral Janus kinases inhibitor (JAKi) has improved the management of skin manifestations in systemic sclerosis (SSc), and our study aimed to explore the efficacy of non-selective JAKi tofacitinib in ameliorating interstitial lung disease (ILD) in the patients with SSc. The hospitalization data of the SSc-ILD patients from April 2019 to April 2021 were collected, and the changes of pulmonary function and the radiological findings in pulmonary high-resolution CT (HRCT) from the 9 patients who received tofacitinib for at least 6 months and a matched group of 35 SSc-ILD patients treated with conventional immunosuppressants or glucocorticoids, were compared and analyzed. There were no significant differences in demographic data and clinical characteristics between the tofacitinib-treated group (tofa-group) and the matched group. However, in the tofa-group, the changes in serum lactate dehydrogenase (LDH) concentration and serum interleukin-6 levels were significantly lower than those in the matched group. Moreover, the tofa-group showed amelioration in decreased diffusing capacity of the lung for carbon monoxide (DLCO) (62.05 ± 9.47 vs. 66.61 ± 12.39, p = 0.046), reductions in ground-glass attenuation involvement (1.00 ± 0.86 vs. 0.33 ± 0.50, p = 0.024) and irregular pleural thickening (1.33 ± 0.50 vs. 0.67 ± 0.51, p = 0.004) in pulmonary HRCTs, alleviated modified Rodnan skin score (mRSS) of skin sclerosis (9.22 ± 3.81 vs. 7.11 ± 3.92, p = 0.048), and reduced HRCT scores of pulmonary fibrosis (15.00 ± 3.87 vs. 12.66 ± 4.92, p = 0.009). Logistic regression analysis showed that the involvement of ground-glass attenuation (OR 11.43) and the add-on therapy of tofacitinib (OR 9.98) were the relevant factors in the amelioration of HRCT. Our results indicate that the use of JAKi (tofacitinib) may be relevant to significant improvement of the sclerosis and early radiological abnormalities in SSc-ILD patients. Further studies are needed to confirm these findings and to explore its efficacy more precisely. Key Points • The currently available therapies for SSc-ILD have limited therapeutic benefits. • The add-on therapy of the oral JAK inhibitor is available in the real world. • The tofacitinib was promising in the improvement of the sclerosis and early radiological abnormalities in SSc-ILD patients.

Transcutaneous auricular vagus nerve stimulation would be an alternative to implantable cervical vagus nerve stimulation in some situation.

Implantable cervical vagus nerve stimulation (iVNS) is a representative and promising neuromodulation. However, the invasive nature restricts its application. Traditional auricular acupuncture treatment has a long history. The auricular branch of the vagus nerve (ABVN) is a branch on the surface of the ear. Some studies demonstrates that transcutaneous auricular vagus nerve stimulation (taVNS) would achieve similar effects as iVNS. TaVNS and iVNS share a common anatomical basis and acting mechanism. In this article, we made a comparison between iVNS and taVNS in indications and efficacy. The recent studies have revealed similar clinical efficacy of taVNS, taVNS would expand the indication of iVNS. High-quality clinical evidences are needed before taVNS become be an alternative of iVNS.

Beta-carotene regulates the biological activity of EGF in IEC6 cells by alleviating the inflammatory process.

Epidermal growth factor (EGF) has many important biological functions. It plays an important role in regulating the growth, survival, migration, apoptosis, proliferation, and differentiation of intestinal tissues and cells. However, until now, the effect of inflammation on the biological activity of EGF in intestinal cells or tissues is still unclear. For this reason, in the current research, we have conducted a detailed study on this issue. Using the rat small intestinal crypt epithelial cell line (IEC6) was used as an in vitro model, and Confocal laser scanning microscope (CLSM), Flow cytometry (FCM), Indirect immunofluorescence assay (IFA), Western-blotting (WB), and Quantitative real-time RT-PCR (QRT-PCR) methods were used to explore the effects of inflammation on EGF/EGFR biological activity and signal transduction profiles. We found that the EGF/EGFR nuclear signal almost disappeared in the inflammatory state, and the phosphorylation levels of EGFR, AKT, and STAT3 were all significantly down-regulated. In addition, we also studied the effect of ß-carotene on the biological activity of EGF, and found that when cells were pretreated with ß-carotene, the cellular behavior, biological activity, and nuclear signal of EGF/EGFR under inflammation stimulation were partially restored. In summary, the current study shows that inflammation can disrupt EGF/EGFR-mediated signaling in IEC6 cells, suggesting that inflammation negatively regulates the biological activity of EGF/EGFR. Furthermore, we found that ß-carotene not only attenuated lipopolysaccharide (LPS)-induced inflammation but also partially restored the biological activity of EGF in IEC6 cells, laying a solid foundation for studying the biological functions of EGF and ß-carotene.

Alginic Acid Beads Containing Fluorescent Solvatochromic Dyes Display an Emission Color Response to a Cationic Surfactant.

Lipophilic fluorescent dyes can be employed as sensors for surfactants present in concentrations above the critical micellar concentration (CMC) where the dyes are monodispersed in micelles. However, the surfactant concentration range over which these dyes are effective is narrowed because by the sigmoidal nature of their responses. To overcome this limitation, we developed a novel sensor material comprised of a labeled fluorescent solvatochromic dye covalently bonded to alginate gel, which is known to strongly adsorb cationic surfactants. We hypothesized that the dye-alginate conjugate would undergo fluorescent color changes in response to binding of surfactants which alter the polarity of the surrounding environment. Indeed, addition of the representative cationic surfactant, cetylpyridinium chloride (CPC), to an aqueous solution of the alginate conjugated fluorescent solvatochromic dye leads to a visible fluorescent color change when the concentration of CPC is below the CMC. The average values of the color appearance parameter, referred to as a hue, of light emitted from gels, calculated by analysis of fluorescence microscopy images using ImageJ software, were found to be approximately linearly dependent on the concentration of CPC encapsulated in the alginate-fluorescent dye complex. This finding shows that absorbed CPC can be quantitatively determined over a wide concentration range in the form of simple fluorescence wavelength or visible responses.

Brain Tumor Identification by Hybrid CNN-SWT Model.

OBJECTIVE: Detecting brain tumor using the segmentation technique is a big challenge for researchers and takes a long time in medical image processing. Magnetic resonance image analysis techniques facilitate the accurate detection of tissues and abnormal tumors in the brain. The size of a brain tumor can vary with the individual and the specifics of the tumor. Radiologists face great difficulty in diagnosing and classifying brain tumors. METHOD: This paper proposed a hybrid model-based convolutional neural network with a stationary wavelet trans-form named "CNN-SWT" to segment brain tumors using MR brain big data. We utilized 7 layers for classification in the proposed model that include 3 convolutional and 3 ReLU. Firstly, the input MR image is divided into multiple patches, and then the central pixel value of each patch is provided to the CNN-SWT. Secondly, the pre-processing stage is per-formed using the mean filter to remove the noise. Then the convolution neural network-layer approach is utilized to segment brain tumors. After segmentation, robust feature extraction such as information-extraction methods is used for the feature extraction process. Finally, a CNN-based hybrid scheme based on the stationary wavelet transform technique is used to detect tumors using MR brain images. MATERIALS: These experiments were obtained using 11500 MR brain images data from the hospital national of oncology. RESULTS: It was proved that the proposed hybrid achieved a high classification accuracy of (98.7 %) as compared with existing methods. CONCLUSION: The advantage of the hybrid novelty of the model and the ability to detect the tumor area achieved excellent overall performance using different values.

Brain Tumor Detection and Classification by Hybrid CNN-DWA Model Using MR Images.

OBJECTIVE: Medical image processing is an exciting research area. In this paper, we proposed new brain tumor detection and classification model using MR brain images to help the doctors in early detection and classification of the brain tumor with high performance and best accuracy. MATERIALS: The model was trained and validated using five databases, including BRATS2012, BRATS2013, BRATS2014, BRATS2015, and ISLES-SISS 2015. METHODS: The advantage of the hybrid model proposed is its novelty that is used for the first time; our new method is based on a hybrid deep convolution neural network and deep watershed auto-encoder (CNN-DWA) model. The method consists of six phases, first phase is input MR images, second phase is preprocessing using filter and morphology operation, third phase is matrix that represents MR brain images, fourth is applying the hybrid CNN-DWA, fifth is brain tumor classification, and detection, while sixth phase is the performance of the model using five values. RESULTS: The novelty of our hybrid CNN-DWA model showed the best results and high performance with accuracy around 98% and loss validation 0, 1. Hybrid model can classify and detect the tumor clearly using MR images; comparing with other models like CNN, DNN, and DWA, we discover that the proposed model performs better than the above-mentioned models. CONCLUSION: Depending on the better performance of the proposed hybrid model, this helps in developing computer-aided system for early detection of brain tumors and helps the doctors to diagnose the patients better.

Differential Deep Convolutional Neural Network Model for Brain Tumor Classification.

The classification of brain tumors is a difficult task in the field of medical image analysis. Improving algorithms and machine learning technology helps radiologists to easily diagnose the tumor without surgical intervention. In recent years, deep learning techniques have made excellent progress in the field of medical image processing and analysis. However, there are many difficulties in classifying brain tumors using magnetic resonance imaging; first, the difficulty of brain structure and the intertwining of tissues in it; and secondly, the difficulty of classifying brain tumors due to the high density nature of the brain. We propose a differential deep convolutional neural network model (differential deep-CNN) to classify different types of brain tumor, including abnormal and normal magnetic resonance (MR) images. Using differential operators in the differential deep-CNN architecture, we derived the additional differential feature maps in the original CNN feature maps. The derivation process led to an improvement in the performance of the proposed approach in accordance with the results of the evaluation parameters used. The advantage of the differential deep-CNN model is an analysis of a pixel directional pattern of images using contrast calculations and its high ability to classify a large database of images with high accuracy and without technical problems. Therefore, the proposed approach gives an excellent overall performance. To test and train the performance of this model, we used a dataset consisting of 25,000 brain magnetic resonance imaging (MRI) images, which includes abnormal and normal images. The experimental results showed that the proposed model achieved an accuracy of 99.25%. This study demonstrates that the proposed differential deep-CNN model can be used to facilitate the automatic classification of brain tumors.

A Recent Investigation on Detection and Classification of Epileptic Seizure Techniques Using EEG Signal.

The benefits of early detection and classification of epileptic seizures in analysis, monitoring and diagnosis for the realization and actualization of computer-aided devices and recent internet of medical things (IoMT) devices can never be overemphasized. The success of these applications largely depends on the accuracy of the detection and classification techniques employed. Several methods have been investigated, proposed and developed over the years. This paper investigates various seizure detection algorithms and classifications in the last decade, including conventional techniques and recent deep learning algorithms. It also discusses epileptiform detection as one of the steps towards advanced diagnoses of disorders of consciousness (DOCs) and their understanding. A performance comparison was carried out on the different algorithms investigated, and their advantages and disadvantages were explored. From our survey, much attention has recently been paid to exploring the efficacy of deep learning algorithms in seizure detection and classification, which are employed in other areas such as image processing and classification. Hybrid deep learning has also been explored, with CNN-RNN being the most popular.

Brain Tumor Detection and Classification on MR Images by a Deep Wavelet Auto-Encoder Model.

The process of diagnosing brain tumors is very complicated for many reasons, including the brain's synaptic structure, size, and shape. Machine learning techniques are employed to help doctors to detect brain tumor and support their decisions. In recent years, deep learning techniques have made a great achievement in medical image analysis. This paper proposed a deep wavelet autoencoder model named "DWAE model", employed to divide input data slice as a tumor (abnormal) or no tumor (normal). This article used a high pass filter to show the heterogeneity of the MRI images and their integration with the input images. A high median filter was utilized to merge slices. We improved the output slices' quality through highlight edges and smoothened input MR brain images. Then, we applied the seed growing method based on 4-connected since the thresholding cluster equal pixels with input MR data. The segmented MR image slices provide two two-layer using the proposed deep wavelet auto-encoder model. We then used 200 hidden units in the first layer and 400 hidden units in the second layer. The softmax layer testing and training are performed for the identification of the MR image normal and abnormal. The contribution of the deep wavelet auto-encoder model is in the analysis of pixel pattern of MR brain image and the ability to detect and classify the tumor with high accuracy, short time, and low loss validation. To train and test the overall performance of the proposed model, we utilized 2500 MR brain images from BRATS2012, BRATS2013, BRATS2014, BRATS2015, 2015 challenge, and ISLES, which consists of normal and abnormal images. The experiments results show that the proposed model achieved an accuracy of 99.3%, loss validation of 0.1, low FPR and FNR values. This result demonstrates that the proposed DWAE model can facilitate the automatic detection of brain tumors.

Effect of biological amniotic membrane soaked in pirfenidone on scar formation after glaucoma filtration surgery in rabbit eyes / 国际眼科杂志(Guoji Yanke Zazhi)

AIM: To investigate the application of biological amniotic membrane soaked in pirfenidone(PFD)and to evaluate its anti-scarring effect and toxic side effects on glaucoma model of rabbit eyes.METHODS: The right eyes of 72 healthy New Zealand white rabbits were randomly divided into 0.5%PFD+ biological amniotic membrane group, biological amniotic membrane group, mitomycin C(MMC)group and blank control group after the glaucoma model was established by anterior chamber injection of compound carbomer solution, and 18 rabbits in each group underwent trabeculectomy, in which the 0.5% PFD+ biological amniotic membrane group was placed with 0.5% PFD solution-soaked biological amniotic membrane under the scleral flap, and the biological amniotic membrane group was placed with normal saline-soaked rehydrated biological amniotic membrane under the scleral flap. In the MMC group, a cotton pad soaked in MMC was placed under the scleral flap for 3 min and immediately rinsed with normal saline, while the blank control group received no implant after the scleral flap was made. The intraocular pressure(IOP), filtration blebs, toxic side effects and complications were evaluated, and the histopathological changes in the filtration area were observed by hematoxylin-eosin(HE), Masson staining and immunohistochemical staining.RESULTS: The mean IOP at 14, 21 and 28 d after trabeculectomy were 0.5%PFD+ biological amniotic membrane group<MMC group<biological amniotic membrane group<blank control group(all P<0.05). At 28 d after trabeculectomy, 0.5%PFD+ biological amniotic membrane group had the best effect of anti-inflammatory hyperplasia and inhibition of collagen formation, the highest survival rate of filtration blebs, and the inflammatory reaction was mild.CONCLUSION: Biological amniotic membrane soaked in pirfenidone has more obvious anti-scarring effect on glaucoma model, with less toxic side effects and good safety.

The Effect of Modified Shugan Dingji Decoction （疏肝定悸汤） on the Occurrence of Endpoint Events in Patients with Paroxysmal Atrial Fibrillation of Liver Constraint and Qi Stagnation： A Retrospective Cohort Study / 中医杂志

ObjectiveTo retrospectively analyze the effect of modified Shugan Dingji Decoction （疏肝定悸汤） on the occurrence of endpoint events in patients with paroxysmal atrial fibrillation of liver constraint and qi stagnation. MethodsA retrospective cohort study was conducted using the electronic medical record database of Longhua Hospital affiliated to Shanghai University of Traditional Chinese Medicine to screen and include patients with paroxysmal atrial fibrillation of liver constraint and qi stagnation from January 1st， 2018， to December 31th， 2021. The included patients were divided into an exposure group and a non-exposure group， each consisting of 100 cases， based on whether they received modified Shugan Dingji Decoction. General information of the patients including age， gender， body mass index， duration of illness and comorbidities， medication history， cardiac structure and function indicators such as left atrial diameter， left ventricular end-diastolic diameter， stroke volume and ejection fraction， and the occurrence of endpoint events assessed through 24-hour dynamic electrocardiography or electrocardiogram to determine the recurrence of paroxysmal atrial fibrillation were collected. Kaplan-Meier （K-M） curves and Log-Rank tests were used to conduct survival analysis on the occurrence of endpoint events in the two groups of patients. Univariate and multivariate Cox regression analyses were used to analyze the impact of various factors on entry into endpoint events. Additionally， a safety assessment was performed by comparing liver and kidney function indicators before and after treatment. ResultsIn the non-exposure group， a total of 49 cases （49.0%） experienced endpoint events， while in the exposure group， there were 26 cases （26.0%）. The Log-rank test indicated significant difference between the two groups （χ2=11.211， P=0.001）. Univariate Cox regression analysis showed that age， duration of illness， hypertension， diabetes， chronic heart failure， left atrial diameter， stroke volume， and the use of modified Shugan Dingji Decoction may be the influencing factors for the occurrence of endpoint events in patients with paroxysmal atrial fibrillation of liver constraint and qi stagnation （P＜0.05 or P＜0.01）. Multivariate Cox regression analysis showed that the risk of endpoint events in the exposure group was significantly lower than that in the non-exposure group （P＜0.01）. Patients with a duration of illness ＞12 months had a significantly higher risk of endpoint events compared to those with a duration of illness ≤12 months （P＜0.01）. Patients without concomitant hypertension had a lower risk of endpoint events compared to those with hypertension （P＜0.05）. Patients with left atrial diameter ＞40 mm had significantly higher risk of endpoint events than those with left atrial diameter ≤40 mm （P＜0.01）. There was no statistically significant difference in liver and kidney function indicators between the two groups before and after treatment （P＞0.05）. ConclusionThe use of modified Shugan Dingji Decoction is a protective factor for patients with paroxysmal atrial fibrillation of liver constraint and qi stagnation， which can help to reduce the recurrence and progression of atrial fibrillation. Long duration of illness， concomitant hypertension， and enlarged left atrial diameter are risk factors for patients to experience endpoint events.

Efficacy and safety of transcatheter arterial chemoembolization combined with targeted therapy and immunotherapy in treatment of patients with stage Ⅱ‍b/Ⅲ‍a hepatocellular carcinoma based on China Liver Cancer Staging / 临床肝胆病杂志

ObjectiveTo evaluate the efficacy and safety of first-line transcatheter arterial chemoembolization （TACE） combined with targeted therapy and immunotherapy in the treatment of patients with stage Ⅱb/Ⅲa hepatocellular carcinoma （HCC） based on China Liver Cancer Staging （CNLC）. MethodsA total of 198 patients who received first-line TACE combined with targeted therapy and immunotherapy or received TACE alone from January 2015 to December 2022 in the First Affiliated Hospital of Soochow University were enrolled in this study， and after propensity score matching， there were 50 patients in combination group and 50 patients in TACE group. The Kaplan-Meier method was used to calculate median overall survival （mOS） and median progression-free survival （mPFS）. Modified Response Evaluation Criteria in Solid Tumors was used to evaluate objective response rate （ORR） and disease control rate （DCR）， and Common Terminology Criteria for Adverse Events v5.0 was used to evaluate adverse events. The chi-square test was used for comparison of categorical data between two groups； the t-test was used for comparison of normally distributed continuous data between two groups， and the Wilcoxon rank-sum test was used for comparison of non-normally distributed continuous data between two groups. The Kaplan-Meier method was used to estimate survival time and calculate 95% confidence interval （CI）， and the Log-rank test was used for comparison of mOS and mPFS between two groups. ResultsThe combination group had an mOS of 30.1 months （95%CI： 21.9‍ ‍—‍ ‍38.3）， and the TACE group had an mOS of 14.5 months （95%CI： 11.0 ‍—‍‍ ‍18.0）， with a significant difference between the two groups （χ2=17.8， P<0.001）； the combination group had an mPFS of 10.3 months （95%CI： 8.8‍ ‍—‍ ‍11.8）， and the TACE group had an mPFS of 7.1 months （95%CI： 5.8‍ — ‍8.4）， with a significant difference between the two groups （χ2=10.4， P<0.001）. There were significant differences between the combination group and the TACE group in ORR （84% vs 58%， P<0.05） and DCR （94% vs 80%， P<0.05）. There was no significant difference between the combination group and the TACE group in the incidence rate of adverse events （24% vs 16%， P=0.317）， and no adverse event-related deaths were observed in either group. ConclusionCompared with TACE alone， TACE combined with targeted therapy and immunotherapy has a better efficacy in the treatment of patients with CNLC stage Ⅱb/Ⅲa HCC， without increasing the incidence rate of severe adverse events.

Correlation analysis of retinal nerve fiber layer and macular retinal thickness in children with anisometropic amblyopia / 国际眼科杂志(Guoji Yanke Zazhi)

AIM: To investigate the changes and correlation of retinal nerve fiber layer(RNFL)and macular retinal thickness in children with anisometropic amblyopia.METHODS: A total of 159 cases(159 eyes)children with anisometropic amblyopia treated in our ophthalmology department from October 2020 to June 2021 were selected as the study group, and 159 cases(159 eyes)children with normal vision who examined in the ophthalmology department of our hospital in the same period and age group were selected as the control group. The study group received traditional comprehensive training combined with 4D visual training for amblyopia based on refractive correction and covering of healthy eyes. The RNFL and macular retinal thickness before and after treatment between the study group and the control group was compared, and the correlation between RNFL and macular retinal thickness before treatment in the study group was analyzed.RESULTS: The RNFL thickness of average, upper, lower, nasal and temporal in the study group before and after 3mo of treatment was higher than those of the control group, and the RNFL thickness of average, upper, lower, nasal and temporal before treatment in the study group was higher than those after 3mo of treatment(P&#x0026;#x003C;0.05). The average, inferior, nasal, temporal, nasal, and central retinal thickness of the outer ring of the macular area in the study group before treatment were higher than those in the same group after 3mo of treatment and the control group(P&#x0026;#x003C;0.05). Before treatment, there was a negative correlation between the thickness of the upper RNFL in the study group and the retinal thickness in the central macular area(r=-0.330, P&#x0026;#x003C;0.05), the thickness of the lower and nasal RNFL was positively correlated with the thickness of the temporal retina in the outer and inner rings of the macular area(all P&#x0026;#x003C;0.05), while the thickness of temporal RNFL was negatively correlated with the thickness of the nasal and temporal retina outside the macular area(r=-0.414, -0.462, all P&#x0026;#x003C;0.05).CONCLUSION: The changes in RNFL and macular retinal thickness in children with anisometropic amblyopia can hinder normal retinal development, and there is a certain correlation between RNFL and macular retinal thickness.

Research Progress in Valve-sparing Aortic Root Replacement / 中山大学学报(医学科学版)

With continuous improvements in surgical techniques， medical engineering and material science， root replacement with composite valve graft （CVG） or Bentall procedure has become the standard procedure for aortic root lesions. As an alternative to the Bentall procedure， valve-sparing aortic root replacement （VSRR） avoids the complications associated with lifelong anticoagulation and mechanical valves； reduces the incidence of thromboembolic and bleeding events； and its favorable haemodynamics and potentially lower risk of endocarditis ensure durable postoperative aortic valve function and a much better quality of patient survival. This article reviews the indications for root replacement with preservation of the aortic valve， the key points of the standardized technique and its long-term results in different patients.

Correlation of serum vitamin D with semen parameters and sex hormone levels in men / 现代泌尿外科杂志

【Objective】 To explore the correlation between serum vitamin D level and male semen parameters and serum sex hormones. 【Methods】 A total of 56 men who received assisted reproductive treatment in our hospital during Oct.2020 and Oct.2021 were included in the infertility group, and 56 male patients with previous reproductive histories who were treated due to other diseases during the same period were enrolled as the control group. The sperm motility and concentration were assessed using a computer assisted semen analysis system (CASA). The normal sperm morphology rate was evaluated with sperm morphological staining. Sperm DNA fragmentation index (DFI) was detected with chromatin diffusion method to evaluate sperm chromatin integrity. Serum levels of luteinizing hormone (LH), follicle-stimulating hormone (FSH), testosterone (T) and 25-hydroxyvitamin D [25(OH)D] were detected with ELISA. The correlation between serum 25(OH)D level and semen parameters and sex hormones was analyzed. 【Results】 Serum 25(OH)D level was significantly higher in the control group than in the infertile group (P=0.002). It was positively correlated with semen parameters, including sperm motility (r=0.483, P<0.001), sperm count (r=0.216, P=0.019), and testosterone level (r=0.210, P=0.025). There was no significant correlation between serum 25(OH)D concentration and sperm morphology, LH and FSH levels. 【Conclusion】 Serum 25(OH)D is significantly correlated with and affects total sperm count, sperm motilityand serum testosterone, thus playing a role in male reproduction. The specific mechanism needs further study.

Effects of metformin hydrochloride tablets on clinical efficacy and number of dominant follicles in polycystic ovary syndrome / 药学实践杂志

Objective To explore the effect of metformin hydrochloride tablets on the clinical efficacy, number of dominant follicles and ovarian volume of polycystic ovary syndrome. Methods 150 patients diagnosed with polycystic ovary syndrome who were diagnosed and treated in our hospital from January 2019 to March 2021 were selected .The patients were divided into observation group and control group by random number table. The control group was treated with letrozole + gonadotropin, and the observation group was treated with letrozole + gonadotropin + hydrochloric acid + Metformin tablets. The clinical efficacy, endometrial thickness, number of high-quality follicles, sex hormone levels, blood lipid levels, and adverse reactions were compared between the two groups. Results ① The effective rate of treatment in the observation group was 90.67%, which was significantly higher than that in the control group, 78.67% (P<0.05). ② After treatment, the endometrial thickness of the observation group was lower than that of the control group, and the number of high-quality follicles was more than that of the control group(P<0.05). ③ After treatment, the levels of Luteinizing Hormone-LH, Follicle Stimulating Hormone-FSH and Testosterone (T) in the observation group were lower than those in the control group (P<0.05). ④ After treatment, the total cholesterol (TC) and triglyceride (TG) in the observation group were lower than those in the control group (P<0.05). ⑤ The incidence of adverse reactions in the observation group was 8.00%, which was significantly lower than 20.00% in the control group (P<0.05). Conclusion Letrozole + gonadotropin + metformin hydrochloride tablets could significantly improve the sex hormone and blood lipid levels in patients with polycystic ovary syndrome, relieve the symptoms of the patients, and improve their uterine condition, which had a good clinical effect.

A brief discussion on the inspiration and thinking of the Metaverse concept to promote the innovative development of intelligent medicine in China / 中华外科杂志

Created by digital technology,the Metaverse is a digital platform where the digital virtual world and the actual real world can coexist to some extent. Based on the integration of Metaverse and medical science,this article describes the great development of intelligent medicine in the fields of medical practice,medical education and medical research,especially in the field of surgery. First,the technical source of the Metaverse concept in the field of intelligent medicine can be traced back to technology to generate actual digital data sets from human anatomy. Second,the successful industrial practice of Metaverse in the field of intelligent medicine conforms to the authentic and credible fundamental purpose of "taking people as the first priority and serving people"， that is， "virtual" must be based on "actual" for "actual".

Research progress on use of common packaging forms of injections / 药学实践杂志

Objective To provide theoretical reference and practical basis for accurately choosing the suitable packaging forms for different Injections. Methods Based on the raw materials in the common packaging forms of injections, the research and application progress on different packaging forms for injections were reviewed by analyzing the characteristics and technical requirements of different packaging forms, and the current registration information of pharmaceutical packaging materials in the Center for Drug Evaluation, NMPA were introduced. Results For preparations with small single-dose and low-cost, the ampoules or injection vials could be chosen. Powder injections are usually packaged in injection vials. For rescue medicines and valuable medicines, the pre-filled syringes could be chosen. For chronic disease treatment drugs (such as insulin) that require long-term injection, or some injections for emergency use, a pen-type syringe package that patients can inject themselves could be used. Neutral glass packaging or plastic packaging should be used for some acidic or alkaline. Conclusion The drug manufacturers should comprehensively consider the physicochemical properties of drugs, the performance of packaging raw materials, compatibility test results, price-cost, and convenience in carrying and use when choosing the appropriate packaging form to ensure the quality, safety, and effectivity of drugs.

A scoring system to predict molecular responses in patients with chronic myeloid leukemia in the chronic phase receiving initial imatinib therapy / 中华血液学杂志

Objective: To develop a scoring system to predict molecular responses in patients with chronic myeloid leukemia in the chronic phase (CML-CP) receiving initial imatinib therapy. Methods: Data from consecutive adults with newly diagnosed CML-CP treated by initial imatinib was interrogated and subjects were distributed randomly into training and validation cohort, in a ratio of 2∶1. Fine-gray models were applied in the training cohort to identify co-variates of predictive value for major molecular response (MMR) and MR4. A predictive system was built using significant co-variates. The predictive system was then tested in the validation cohort and the area under the receiver-operator characteristic curve (AUROC) was used to estimate accuracy of the predictive system. Results: 1 364 CML-CP subjects receiving initial imatinib were included in this study. Subjects were distributed randomly into training cohort (n=909) and validation cohort (n=455) . In the training cohort, the male gender, European Treatment and Outcome Study for CML (EUTOS) Long-Term Survival (ELTS) intermediate-risk, ELTS high-risk, high WBC (≥130×10(9)/L or 120×10(9)/L, MMR or MR4) and low HGB (<110 g/L) at diagnosis were significantly related with poor molecular responses and were given points based on their regression coefficients. For MMR, male gender, ELTS intermediate-risk and low HGB (<110 g/L) were given 1 point; ELTS high-risk and high WBC (≥130×10(9)/L) , 2 points. For MR4, male gender was given 1 point; ELTS intermediate-risk and low HGB (<110 g/L) were given 2 points; high WBC (≥120×10(9)/L) , 3 points; ELTS high-risk, 4 points. We divided all subjects into 3 risk subgroups according to the predictive system above. Cumulative incidence of achieving MMR and MR4 in 3 risk subgroups was significantly different in both training and validation cohort (all P values <0.001) . In the training and validation cohorts, the time-dependent AUROC ranges of MMR and MR4 predictive systems were 0.70-0.84 and 0.64-0.81, respectively. Conclusions: A scoring system combining gender, WBC, HGB level and ELTS risk was built to predict MMR and MR4 in CML-CP patients receiving initial imatinib therapy. This system had good discrimination and accuracy, which could help phsicians optimize the selsction of initial TKI-therapy.