Diagnostic and therapeutic approaches for non-obstructive azoospermia (NOA) remain limited in current clinical practice, urgently requiring new assistive technologies to advance diagnosis and treatment. As a crucial medium for intercellular communication, exosomes show broad potential in the treatment and diagnosis of NOA. This review summarizes research progress on exosomes from multiple sources. Firstly, mesenchymal stem cell-derived exosomes (e.g., from bone marrow, urine, umbilical cord, adipose tissue) promote spermatogenesis recovery by enhancing spermatogenic cell proliferation, regulating relevant gene expression, supplying growth factors, and providing antioxidant stress protection. Secondly, cell-derived exosomes exert effects by modulating the spermatogonial stem cell microenvironment (e.g., upregulating GFRα1 expression) and directly communicating with germ cells. Thirdly, amniotic fluid-derived exosomes increase spermatogenic cell numbers and upregulate expression of spermatogenesis-related genes such as DAZL and VASA. Furthermore, molecules carried by exosomes—such as miRNAs (e.g., miR-31-5p, miR-26a-5p) and transfer RNA-derived fragments—hold potential diagnostic value in distinguishing non-obstructive from obstructive azoospermia and predicting micro-TESE success rates. This paper aims to provide theoretical basis and research directions for the clinical application of exosomes in NOA.

ObjectiveTo investigate the potential mechanism of action of the Qufeng Tongqiao Cough-relieving Decoction （祛风通窍止咳方， QTCD） in the treatment of upper airway cough syndrome （UACS）. MethodsTwenty-four guinea pigs were randomly divided into blank group， model group， traditional Chinese medicine （TCM） group， and inhibitor group， with six guinea pigs in each group. Except for the blank group， guinea pigs were sensitized with ovalbumin and aluminum hydroxide via intraperitoneal injection， followed by ovalbumin nasal drops combined with smoke exposure to establish the UACS model. After modeling， the TCM group was administered QTCD 0.9 g/（100 g·d） by gavage， the inhibitor group received the transient receptor potential vanilloid receptor 4 （TRPV4） inhibitor GSK2193874 1 mmol/L， 5 min by nebulisation， and the blank group and model group were given 2 ml/（100 g·d） normal saline by gavage once daily. After 7 days of treatment， a cough provocation test was performed using 0.4 mol/L citric acid. The levels of IgE in serum and inflammatory cytokines， including interleukin-6 （IL-6）， interleukin-8 （IL-8） in serum， bronchoalveolar lavage fluid （BALF）， and nasal lavage fluid （NLF） were detected by enzyme-linked immunosorbent assay （ELISA）. Histopathological changes in lung and nasal mucosal tissues were observed by hematoxylin-eosin （HE） staining. Immunohistochemistry was used to detect the protein levels of TRPV4， substance P （SP）， and calcitonin gene-related peptide （CGRP） in lung and nasal mucosal tissues. Real-time polymerase chain reaction （Real-time PCR） was used to detect the mRNA expression of TRPV4， SP， and CGRP in lung tissues. ResultsHE staining showed significant structural damage and infiltration of inflammatory cells in the lung and nasal mucosal tissues in the model group， while the TCM group and inhibitor group showed improved pathological changes. Compared with the blank group， the model group showed increased cough frequency， serum IgE level， and IL-6 and IL-8 levels in serum， BALF， and NLF. The protein levels of TRPV4， SP， and CGRP in lung and nasal mucosal tissues and their mRNA expression were elevated （P＜0.05 or P＜0.01）. Compared with the model group， the TCM group and inhibitor group showed reduced cough frequency， serum IgE level， and TRPV4 and SP mRNA expression in lung tissues. The TCM group showed reduced IL-6 and IL-8 levels in serum， BALF， and NLF， and reduced TRPV4 and CGRP protein levels in lung and nasal mucosal tissues. The inhibitor group showed reduced IL-6 and IL-8 levels in serum， BALF， and NLF， reduced IL-6 in BALF， reduced IL-8 in NLF， and decreased TRPV4， SP， and CGRP protein levels in lung tissues and SP and CGRP protein levels in nasal mucosal tissues （P＜0.05 or P＜0.01）. Compared with the TCM group， the inhibitor group had increased serum IgE， IL-6， and IL-8 levels， increased IL-6 level in BALF， and increased IL-8 levle in NLF， but decreased SP protein level in lung tissues and increased TRPV4 and SP mRNA expression in lung tissues （P＜0.01）. ConclusionQTCD effectively reduces cough frequency in the UACS guinea pig model. Its mechanism may involve inhibiting the activation of the TRPV4 pathway， improving airway neurogenic inflammation， alleviating inflammatory responses， and reducing cough hypersensitivity.

ObjectiveTo observe the clinical efficacy and safety of Tangning Tongluo tablets in the treatment of nonproliferative diabetic retinopathy （DR）. MethodsFourteen research centers participated in this study， which spanned a time interval from September 2021 to May 2023. A total of 240 patients with nonproliferative DR were included and randomly assigned into an observation group （120 cases） and a control group （120 cases）. The observation group was treated with Tangning Tongluo tablets， and the control group with calcium dobesilate capsules. Both groups were treated for 24 consecutive weeks. The vision， DR progression rate， retinal microhemangioma， hemorrhage area， exudation area， glycosylated hemoglobin （HbA1c） level， and TCM syndrome score were assessed before and after treatment， and the safety was observed. ResultsThe vision changed in both groups after treatment （P<0.05）， and the observation group showed higher best corrected visual acuity （BCVA） than the control group （P<0.05）. The DR progression was slow with similar rates in the two groups. The fundus hemorrhage area and exudation area did not change significantly after treatment in both groups， while the observation group outperformed the control group in reducing the fundus hemorrhage area and exudation area. There was no significant difference in the number of microhemangiomas between the two groups before treatment. After treatment， the number of microhemangiomas decreased in both the observation group （Z=-1.437， P<0.05） and the control group （Z=-2.238， P<0.05）， and it showed no significant difference between the two groups. As the treatment time prolonged， the number of microhemangiomas gradually decreased in both groups. There was no significant difference in the HbA1c level between the two groups before treatment. After treatment， the decline in the HbA1c level showed no significant difference between the two groups. The TCM syndrome score did not have a statistically significant difference between the two groups before treatment. After treatment， neither the TCM syndrome score nor the response rate had significant difference between the two groups. With the extension of the treatment time， both groups showed amelioration of TCM syndrome compared with the baseline. ConclusionTangning Tongluo tablets are safe and effective in the treatment of nonproliferative DR， being capable of improving vision and reducing hemorrhage and exudation in the fundus.

To develop a guideline terminology system and promote its standardization, thereby enhancing medical staff's accurate understanding and correct application of guidelines.

This study aims to understand the epidemic distribution characteristics,antimicrobial resistance,virulence genes,and biofilm adhesion ability of Enterococcus in yaks on the Tibetan plateau.Three hundred and forty-six fresh yak fecal samples and 311 milk samples were collected from four provinces on the Tibetan plateau(Xizang,Sichuan,Gansu,Qinghai),totaling 657 sam-ples.Bacterial isolation and identification were conducted,followed by 16S rDNA gene detection and the construction of a systematic evolutionary tree.The isolated strains were tested for antimi-crobial resistance and virulence genes using PCR,and sensitivity tests were performed using 18 types of antibiotics.The biofilm adhesion ability of the isolated bacteria was determined using an improved semi-quantitative crystal violet staining method.The results showed that the total isola-tion rate of Enterococcus was 32.27％,with Sichuan having the highest at 60.23％,followed by Gansu,Qinghai,and Tibet autonomous region at 42.70％,23.47％,and 18.31％respectively.In terms of sample types,the isolation rate in fecal samples was 36.71％,and in milk samples,it was 27.33％.Through PCR amplification,bands of approximately 1 400 bp were obtained,and 5 strains were selected for evolutionary analysis,forming a separate cluster.Among the 212 isolated strains,a high resistance to clindamycin,quinupristin-dalfopristin,linezolid,levofloxacin,and erythromycin was observed,with various resistance phenomena,accounting for 60.85％.Only 5 out of 12 resist-ant genes were detected,namely erm(B),tet(L),tet(O),tet(M),and ant(6)-Ia.All 13 virulence genes were detected in Enterococcus,with detection rates in the range of 5.19％to 95.76％,where cpd was 95.75％,gelE was 91.98％,efaA was 86.79％,asal was 86.32％,and the rest ranged from 5.19％to 55.66％.The fsr virulence gene was not detected in Enterococcus from milk sources.Among the isolated strains,3.30％showed medium adhesive ability,48.58％showed weak adhesive ability,and 48.11％showed no adhesive ability.The above research revealed the preva-lence of yak derived Enterococcus,the carrying status of resistance and virulence genes,and the correlation between biofilm phenotypes,laying the foundation for mastering research data on yak-derived Enterococcus in the Tibetan plateau.

Lens injury is an important etiological factor in the reduction of visual function following ocular trauma.Currently, there are no clear standards for the classification of lens injury, and comprehensive diagnostic tools are lacking.This deficiency leads to numerous controversies and challenges in critical areas, such as diagnosis and preoperative evalution, timing of surgery, surgical strategy, and assessment of postoperative prognosis.Tomographic imaging technology, such as computed tomography, magnetic resonance imaging, optical coherence tomography, has introduced a new dimension to the evaluation of lens injury, which is crucial for assessing the transparency, texture, location, morphology, and integrity of the lens, as well as the zonules and nearby intraocular structures.However, the use of tomographic imaging technology is somewhat limited due to the limitations of relying on a single method.With the ongoing advancement of imaging technologies and the rapid development of big data and artificial intelligence, tomographic imaging will become an increasingly essential tool in the future management of lens injury.Our expert group reviewed the epidemiological characteristics and classification of lens injury and the major challenges currently faced in the diagnosis and treatment of lens injury, and provided expert recommendations mainly focusing on the application, shortcomings and limitations of current tomographic imaging technology in the diagnosis and treatment of lens injury, and future development directions.

Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.

Lens injury is an important etiological factor in the reduction of visual function following ocular trauma.Currently, there are no clear standards for the classification of lens injury, and comprehensive diagnostic tools are lacking.This deficiency leads to numerous controversies and challenges in critical areas, such as diagnosis and preoperative evalution, timing of surgery, surgical strategy, and assessment of postoperative prognosis.Tomographic imaging technology, such as computed tomography, magnetic resonance imaging, optical coherence tomography, has introduced a new dimension to the evaluation of lens injury, which is crucial for assessing the transparency, texture, location, morphology, and integrity of the lens, as well as the zonules and nearby intraocular structures.However, the use of tomographic imaging technology is somewhat limited due to the limitations of relying on a single method.With the ongoing advancement of imaging technologies and the rapid development of big data and artificial intelligence, tomographic imaging will become an increasingly essential tool in the future management of lens injury.Our expert group reviewed the epidemiological characteristics and classification of lens injury and the major challenges currently faced in the diagnosis and treatment of lens injury, and provided expert recommendations mainly focusing on the application, shortcomings and limitations of current tomographic imaging technology in the diagnosis and treatment of lens injury, and future development directions.

Endothelial dysfunction is a pivotal contributor to atherosclerosis(As)pathogenesis.A comprehensive understanding of the mechanisms of endothelial dysfunction would provide novel insights into effective treatment of As.Recent advances in genome and transcripome technology have enabled researchers to further explore the molecular mecha-nisms of endothelial dysfunction.It has been found that the regulatory network of competitive endogenous RNA(ceRNA)mediated by long non-coding RNA(lncRNA)plays a key role in endothelial dysfunction.lncRNA acts as a"molecular sponge"for microRNA(miRNA)to block the post-transcriptional repression of miRNA on downstream target gene messen-ger RNA(mRNA)by binding to miRNA,thereby regulating the function and phenotypic conversion of endothelial cell(EC)lncRNA-miRNA-mRNA interactions are widely involved in play an essential role EC inflammatory responses,apopto-sis,autophagy,angiogenesis,and endothelial-mesenchymal transition(EndMT).Which suggests that it may be a poten-tial therapeutic targets for As.

This paper focuses on the application of health big data in cancer screening. Firstly, the sources and characteristics of health big data are introduced, then the commonly used epidemiological designs and analytical techniques in hospital-based cancer screening studies are summarized and the application scenarios of such studies are described. Finally, the challenges and future development in the application of health big data are analyzed to provide reference for the future studies.