In recent years， diabetic nephropathy （DN） has become an increasingly serious health challenge worldwide， and its morbidity and mortality rates are rapidly increasing. The patients suffering from the disease tend to be younger. DN is not only accompanied by a wide range of renal pathological changes， such as renal hypertrophy， inflammatory cell infiltration， expansion of the tethered membrane stroma， and thickening of the basement membrane but is also the main cause of end-stage renal disease and death in patients with diabetes mellitus. Therefore， it is particularly urgent to explore new strategies for the prevention and treatment of DN. The pathogenesis of DN is intricate and complex， with current research focusing on multifactorial interactions between metabolic and hemodynamic factors， such as hypoxia， inflammatory responses， and fibrotic processes. Notably， hypoxia plays a pivotal role in the initiation and progression of DN. Hypoxia-inducible factor （HIF-1α）， as a key regulatory protein commonly found in hypoxic cells， has a profound impact on various physiological and pathological processes， such as cell metabolism， vascular neogenesis， oxidative stress， and apoptosis. With its unique theoretical system and therapeutic approach， traditional Chinese medicine has demonstrated significant advantages in coping with hypoxic diseases and can slow down the progression of DN by regulating the expression level of HIF-1α and its downstream signaling molecules and exerting anti-inflammatory， antioxidant， and antifibrotic effects， which has positive clinical significance for drug development and early prevention and treatment of DN.

Metabolites produced as intermediaries or end-products of microbial metabolism provide crucial signals for health and diseases, such as metabolic dysfunction-associated steatotic liver disease (MASLD). These metabolites include products of the bacterial metabolism of dietary substrates, modification of host molecules (such as bile acids [BAs], trimethylamine-N-oxide, and short-chain fatty acids), or products directly derived from bacteria. Recent studies have provided new insights into the association between MASLD and the risk of developing chronic kidney disease (CKD). Furthermore, alterations in microbiota composition and metabolite profiles, notably altered BAs, have been described in studies investigating the association between MASLD and the risk of CKD. This narrative review discusses alterations of specific classes of metabolites, BAs, fructose, vitamin D, and microbiota composition that may be implicated in the link between MASLD and CKD.

On the basis of that the fluorescence wavelength of copper nanoclusters(CuNCs)could cover the entire visible region,multicolor fluorescent CuNCs/starch composites were prepared and applied in fingermark development.With L-glutathione as the reducing agent and protective ligand,blue emissive and orange emissive CuNCs solutions were obtained in alkaline solutions at 90℃and 25℃,respectively.With the aggregation-induced emission effect induced by ethanol as a poor solvent,the fluorescence of orange emissive CuNCs with a higher intensity was achieved in an ethanol-water solution.With ascorbic acid as the reducing agent and 3-mercaptopropionic acid as the protective agent,green emissive CuNCs solution was prepared in an acid solution.Particle morphologies,chemical compositions and optical properties of these three CuNCs above were investigated using physical characterization and spectroscopic analysis,indicating that well-dispersed CuNCs had excellent photoluminescent properties.These CuNCs solutions were combined with starch to form composite powders by simply drying.The influences of the type of CuNCs and the ratio of CuNCs to starch on the emission wavelength and fluorescence intensity of the products were studied.The obtained CuNCs/starch composites could emit blue,green and orange fluorescence under 365 nm ultraviolet light,respectively,which were suitable for fingermark development.Minutiae and partial level-3 features of latent fingermarks could be effectively developed.High-quality fluorescence fingermark images would be captured using appropriate optical filters to eliminate background interference of various substrates.

Definitive treatment of lung cancer with radiotherapy is challenging, as respiratory motion and anatomical changes can increase the risk of severe off-target effects during radiotherapy. Online adaptive radiotherapy (ART) is an evolving approach that enables timely modification of a treatment plan during the interfraction of radiotherapy, in response to physiologic or anatomic variations, aiming to improve the dose distribution for precise targeting and delivery in lung cancer patients. The effectiveness of online ART depends on the seamless integration of multiple components: sufficient quality of linear accelerator-integrated imaging guidance, deformable image registration, automatic recontouring, and efficient quality assurance and workflow. This review summarizes the present status of online ART for lung cancer, including key technologies, as well as the challenges and areas of active research in this field.
Humans ; Lung Neoplasms/radiotherapy* ; Radiotherapy Planning, Computer-Assisted/methods*

Testicular histology based on testicular biopsy is an important factor for determining appropriate testicular sperm extraction surgery and predicting sperm retrieval outcomes in patients with azoospermia. Therefore, we developed a deep learning (DL) model to establish the associations between testicular grayscale ultrasound images and testicular histology. We retrospectively included two-dimensional testicular grayscale ultrasound from patients with azoospermia (353 men with 4357 images between July 2017 and December 2021 in The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China) to develop a DL model. We obtained testicular histology during conventional testicular sperm extraction. Our DL model was trained based on ultrasound images or fusion data (ultrasound images fused with the corresponding testicular volume) to distinguish spermatozoa presence in pathology (SPP) and spermatozoa absence in pathology (SAP) and to classify maturation arrest (MA) and Sertoli cell-only syndrome (SCOS) in patients with SAP. Areas under the receiver operating characteristic curve (AUCs), accuracy, sensitivity, and specificity were used to analyze model performance. DL based on images achieved an AUC of 0.922 (95% confidence interval [CI]: 0.908-0.935), a sensitivity of 80.9%, a specificity of 84.6%, and an accuracy of 83.5% in predicting SPP (including normal spermatogenesis and hypospermatogenesis) and SAP (including MA and SCOS). In the identification of SCOS and MA, DL on fusion data yielded better diagnostic performance with an AUC of 0.979 (95% CI: 0.969-0.989), a sensitivity of 89.7%, a specificity of 97.1%, and an accuracy of 92.1%. Our study provides a noninvasive method to predict testicular histology for patients with azoospermia, which would avoid unnecessary testicular biopsy.
Humans ; Male ; Azoospermia/diagnostic imaging* ; Deep Learning ; Testis/pathology* ; Retrospective Studies ; Adult ; Ultrasonography/methods* ; Sperm Retrieval ; Sertoli Cell-Only Syndrome/diagnostic imaging*

OBJECTIVE: To investigate the action mechanism of formononetin (FN) in regulating T helper type 1 (Th1) cell differentiation and macrophage polarization through JAK/STAT signaling pathways in a mouse model of experimental autoimmune prostatitis (EAP). METHODS: Forty non-obese diabetic (NOD) male mice were randomly divided into four groups: normal control, EAP model control, low-dose FN (LFN, 50 mg/kg) and high-dose FN (HFN, 100 mg/kg). The EAP model was established in the latter three groups by subcutaneous injection of prostate antigens (PAgs) combined with complete Freund's adjuvant (CFA). After modeling, the mice in the LFN and HFN groups were treated intragastrically with FN at 50 and 100 mg/kg/d, respectively, and those in the normal and model controls groups with carboxymethylcellulose sodium (CMC-Na). At 42 days after treatment, all the animals were killed and relevant tissues collected for observation of the pathological changes in the prostate tissue by HE staining, detection of Th1 cell differentiation and macrophage polarization in the prostate by immunofluorescence double staining (labeling CD4 and interferon-γ ［IFN-γ］, inducible nitric oxide synthase ［iNOS］ and CD206), measurement of the ratio of Th1 cells/macrophages in the spleen by flow cytometry and the levels of IFN-γ and tumor necrosis factor-α (TNF-α) in the serum by ELISA, and determination of the expressions of phosphorylated (p)-Janus kinase (JAK)1, JAK1, p-JAK2, JAK2, p-signal transducer and activator of transcription (STAT1) in the prostate tissue by Western blot. RESULTS: Compared with the model controls, the mice treated with low- and high-dose FN exhibited more orderly arrangement of glandular epithelial cells, significantly reduced prostatic tissue inflammation scores (P<0.05), and decreased proportion of Th1 cells and expression of M1 macrophages (P<0.05), but increased expression of M2 macrophages in the prostate and spleen tissues (P<0.05). Besides, the levels of inflammatory cytokines IFN-γ (P<0.05) and TNF-α (P<0.05) in the serum of the mice in the LFN and HFN groups were remarkably reduced, and so were the ratios of p-JAK1/JAK1, p-JAK2/JAK2 and p-STAT1/STAT1 in the prostate tissues at the molecular level (P<0.05), indicating the therapeutic effect of FN on EAP by regulating JAK/STAT signaling pathways, promoting inflammation resolution, and restoring immune balance. CONCLUSION FN alleviates EAP by inhibiting JAK/STAT signaling pathways and regulating Th1 cell differentiation and macrophage polarization.
Animals ; Male ; Prostatitis/metabolism* ; Signal Transduction ; Mice ; Isoflavones/therapeutic use* ; Mice, Inbred NOD ; Autoimmune Diseases/metabolism* ; Macrophages ; Inflammation ; Th1 Cells ; Janus Kinases/metabolism* ; Cell Differentiation ; Disease Models, Animal ; STAT Transcription Factors/metabolism*

Metabolites produced as intermediaries or end-products of microbial metabolism provide crucial signals for health and diseases, such as metabolic dysfunction-associated steatotic liver disease (MASLD). These metabolites include products of the bacterial metabolism of dietary substrates, modification of host molecules (such as bile acids [BAs], trimethylamine-N-oxide, and short-chain fatty acids), or products directly derived from bacteria. Recent studies have provided new insights into the association between MASLD and the risk of developing chronic kidney disease (CKD). Furthermore, alterations in microbiota composition and metabolite profiles, notably altered BAs, have been described in studies investigating the association between MASLD and the risk of CKD. This narrative review discusses alterations of specific classes of metabolites, BAs, fructose, vitamin D, and microbiota composition that may be implicated in the link between MASLD and CKD.

Metabolites produced as intermediaries or end-products of microbial metabolism provide crucial signals for health and diseases, such as metabolic dysfunction-associated steatotic liver disease (MASLD). These metabolites include products of the bacterial metabolism of dietary substrates, modification of host molecules (such as bile acids [BAs], trimethylamine-N-oxide, and short-chain fatty acids), or products directly derived from bacteria. Recent studies have provided new insights into the association between MASLD and the risk of developing chronic kidney disease (CKD). Furthermore, alterations in microbiota composition and metabolite profiles, notably altered BAs, have been described in studies investigating the association between MASLD and the risk of CKD. This narrative review discusses alterations of specific classes of metabolites, BAs, fructose, vitamin D, and microbiota composition that may be implicated in the link between MASLD and CKD.

Objective To analyze the characteristics and risk factors associated with postoperative deep vein thrombosis(DVT)of the lower extremities in patients undergoing surgery for lumbar degenerative diseases.Methods A retrospective analysis was conducted on clinical data from 298 patients who were hospitalized for lumbar degenerative diseases and underwent lumbar spine surgery treatment in the First Affiliated Hospital of Nanchang University from October 1,2022 to April 15,2023.Patients were divided into DVT group(n=71)and non-DVT group(n=227)according to whether DVT of the lower limbs occurred within 1 week postoperatively.The incidence and distribution characteristics of postoperative DVT were analyzed.Univariate and binary logistic regression analyses were performed to identify risk factors for DVT,and receiver operating characteristic(ROC)curves were used to determine cut-off values for relevant risk factors.Results A total of 298 patients were included,among whom 159 were males(53.4%)and 139 were females(46.6%),with an average age of(64.5±9.8)years.DVT occurred in 71 patients,and the incidence of lower extremity DVT was 23.8%.In the DVT group,there were 49 cases(69.0%)of intermuscular vein thrombosis,and 22 cases of other types of thrombosis(7 cases of peroneal vein thrombosis,4 cases of posterior tibial vein thrombosis,3 cases of common femoral vein thrombosis,1 case of anterior tibial vein thrombosis,and 7 cases of multiple thrombosis);58 cases(81.7%)had DVT in one lower extremity,and 13 cases(18.3%)had DVT in both lower extremities.Univariate analysis results showed that age,body mass index(BMI),length of hospital stay,history of hypertension,operative time,and intraoperative blood loss were associated with the occurrence of lower extremity DVT after surgery for lumbar degenerative diseases(P<0.05).Binary logistic regression analysis results indicated that older age(OR=1.079,P<0.01),higher BMI(OR=1.130,P=0.01),history of hypertension(OR=2.992,P<0.01),and larger intraoperative blood loss(OR=1.002,P=0.03)were independent risk factors for the occurrence of lower extremity DVT.ROC curve analysis demonstrated that patients with age>58.5 years,BMI>24.01 kg/m2,history of hypertension,and intraoperative blood loss>550 ml had a significantly increased risk of postoperative lower limb DVT.Conclusions The incidence of lower extremity DVT after surgery for lumbar degenerative disease is high,and intermuscular venous thrombosis is more common.Older age,higher BMI,history of hypertension,and larger intraoperative blood loss are independent risk factors for the occurrence of lower extremity DVT after surgery.