Objective:To develop a quality control model for anal sphincter ultrasound images and validate its diagnostic performance across multiple centers.Methods:A retrospective analysis was conducted on anal sphincter ultrasound images from seven medical centers in China between May 2019 and June 2022. A total of 7 040 images from 3 116 patients were included and divided into a training set（4 912 images）and a validation set（2 128 images）. The images were classified as standard or non-standard images by three experts. Three models were developed based on different image feature extraction methods：a single-branch model，a multi-branch weighted model，and a multi-branch ensemble model. The diagnostic performance of each model was evaluated using the area under the ROC curve（AUC），sensitivity，specificity，accuracy，positive predictive value，and negative predictive value，respectively. The optimal model was selected and compared with the performance of 4 doctors with varying experience levels. Sixty days later，the images with the assistance of the model's output were reassessed by the doctors to evaluate its impact on manual quality control.Results:① Among the 3 models，the multi-branch ensemble model demonstrated the highest AUC and sensitivity，with an AUC of 0.966（95% CI=0.958 - 0.974），a sensitivity of 91.83%，and a specificity of 91.41%. This model was named M quality. ② M quality's AUC was slightly lower than that of Senior A and B（0.966 vs. 0.976，0.976，and P<0.05），its sensitivity was slightly lower than that of Senior A（91.83% vs. 95.61%， P<0.001）but comparable to Senior B（91.83% vs. 92.89%， P=0.315），its specificity was slightly lower than Senior A and B（91.41% vs. 94.44%，98.18%，and P<0.05）. However，M quality significantly outperformed Junior A and B in AUC and sensitivity（AUC：0.966 vs. 0.850，0.818；sensitivity：91.83% vs. 84.90%，61.46%；all P<0.001），its specificity was higher than that of Junior A（91.41% vs. 80.28%， P<0.001）but lower than that of Junior B（91.41% vs. 95.96%， P<0.001）. ③ With model assistance，Senior B's sensitivity（92.89% vs. 94.20%， P=0.001）and Senior A's specificity（94.44% vs. 96.56%， P<0.001）improved significantly. Junior A and B showed significant improvements in AUC and sensitivity（AUC：0.931 vs. 0.850，0.914 vs. 0.818；sensitivity：91.83% vs. 84.90%，89.53% vs. 61.46%；all P<0.001）. After model assistance，Junior A's specificity increased（93.62% vs. 80.28%， P<0.001），while Junior B's specificity decreased（91.60% vs. 95.96%， P=0.013）. Conclusions:This study develops a quality control model for anal sphincter ultrasound images with robust diagnostic performance，approaching the level of seniors. The model significantly enhances the image quality assessment capabilities of juniors，demonstrating promising clinical application potential.

Objective: To investigate whether TYRO protein tyrosine kinase-binding protein (TYROBP) affects the progression of diabetic kidney disease (DKD) through the extracellular signal-regulated kinase ( ERK) pathway. Methods: Key genes in DKD were identified through bioinformatics analysis . Immunohistochemical staining and quantitative real-time PCR (qPCR) were used to validate the expression levels of TYROBP in a DKD mouse model and high glucose-stimulated NRK-52E cells . NRK-52E cell models with stable TYROBP overexpression/knockdown and their corresponding empty vector (ev) /scrambled sequence (ss) controls were established via lentiviral trans- fection . Cells were treated with 5 . 5 mmol/L or 30. 0 mmol/L glucose for 72 hours to mimic normal glucose (NG) and high glucose ( HG) conditions , respectively. High glucose medium containing 3 . 5 μmol/L FR180204 was used for ERK inhibitor intervention . The experiment included seven groups : ev + NG , ev + HG , oe-TYROBP + HG , ss + NG , ss + HG , sh-TYROBP + HG , and sh-TYROBP + HG + ERK inhibitor. Western blot was used to de- tect the expression levels of phosphorylated ERK/total ERK (p-ERK/ERK) , apoptosis-related proteins B-cell lym- phoma-2 (Bcl-2) and Bcl-2-associated X protein ( Bax) , and epithelial-mesenchymal transition ( EMT)-related proteins E-cadherin and α-smooth muscle actin ( α-SMA) . Tetramethylrhodamine ethyl ester (TMRE) staining and Annexin V-fluorescein isothiocyanate/propidium iodide (Annexin V-FITC/PI) flow cytometry were performed to as- sess mitochondrial membrane potential and apoptosis levels . Results: Bioinformatics analysis identified TYROBP as a key gene in DKD . In vivo and in vitro validation showed increased TYROBP mRNA levels in DKD models . The results from the HG model indicated that , compared to the ev + NG/ss + NG group , the ev + HG/ss + HG group demonstrated increased p-ERK/ERK expression , reduced mitochondrial membrane potential , elevated apoptosis , and enhanced EMT. In TYROBP-perturbed NRK-52E cells , compared to the ev + HG group , the oe-TYROBP + HG group showed decreased p-ERK/ERK expression (P < 0. 01) , increased mitochondrial membrane potential (P < 0. 05) , reduced apoptosis (P < 0. 001) , and attenuated EMT; whereas compared to the ss + HG group , the sh- TYROBP + HG group exhibited increased p-ERK/ERK expression ( P < 0. 001) , decreased mitochondrial mem- brane potential (P < 0. 01) , elevated apoptosis (P < 0. 001) , and enhanced EMT. Furthermore , compared to the sh-TYROBP + HG group , the sh-TYROBP + HG + ERK inhibitor group displayed reduced p-ERK/ERK expression (P < 0. 01) , increased mitochondrial membrane potential ( P < 0. 001) , decreased apoptosis ( P < 0. 001) , and suppressed EMT. Compared with the scrambled sequence control + high glucose group , the TYROBP knockdown + high glucose group showed elevated p-ERK/ERK expression ( P < 0. 001) , reduced mitochondrial membrane potential (P < 0. 01) , increased apoptosis level (P < 0. 001) , and enhanced EMT. Compared with the TYROBP knockdown + high glucose group , the TYROBP knockdown + high glucose + ERK inhibitor group demonstrated decreased p-ERK/ERK expression (P < 0. 01) , restored mitochondrial membrane potential (P < 0. 001) , reduced apoptosis level (P < 0. 001) , and suppressed EMT. Conclusion TYROBP may regulate the ERK signaling path- way to modulate apoptosis- and EMT-related proteins , thereby influencing mitochondrial membrane potential , apop- tosis , and EMT in renal tubular epithelial cells and contributing to DKD progression .

AIM:This study aims to investigate the effects of Jiedu-Shengji ointment(JDSJG)on wound healing in diabetic rats by modulating the protein kinase R-like endoplasmic reticulum kinase(PERK)/inositol-requiring enzyme 1(IRE1)/nucleotide-binding oligomerization domain-like receptor protein 3(NLRP3)pathway in the context of endoplasmic reticulum stress(ERS).METHODS:Male Sprague-Dawley rats were randomly assigned to four groups:control group,model group,detoxification muscle ointment group,and sulfadiazine silver cream group.All groups,except the control,were administered an intraperitoneal injection of 45 mg/kg streptozotocin to induce diabetes.The control and model groups received daily applications of normal saline,while the detoxification myogen ointment and sulfadiazine silver cream groups received their respective treatments daily.After dressing changes,wounds were bandaged with sterile gauze.Following 14 d of continuous treatment,wound healing was assessed and healing rates calculated.Histopathologi-cal changes in wound tissues were analyzed using HE staining.Transmission electron microscopy was utilized to observe the number,morphology,and swelling of endoplasmic reticulum in the wound tissues.The expression and distribution of PERK,IRE1 and thioredoxin interacting protein(TXNIP)was assessed by immunohistochemistry,while Western blot was used to measure the levels of apoptosis-associated speck-like protein containing a caspase recruitment domain(ASC),TXNIP and NLRP3.ELISA was conducted to quantify the inflammatory cytokines interleukin-18(IL-18)and IL-1β.RE-SULTS:After 14 d of intervention,significant differences were observed in wound tissue parameters across the groups.The model group exhibited a significantly lower wound healing rate compared to the control group(P<0.01),with in-creased wound exudation,poor granulation tissue growth,and elevated the protein levels of PERK,IRE1,TXNIP,CHOP,NLRP3 and ASC(P<0.01),as well as significantly higher levels of IL-1β and IL-18(P<0.01).In contrast,the detoxification muscle ointment group showed a marked improvement in wound healing rate(P<0.01),reduced inflamma-tory exudation,improved granulation tissue growth,and significant decreases in TXNIP expression(P<0.01),along with lower levels of PERK,IRE1,CHOP,ASC and NLRP3(P<0.01).Additionally,the IL-1β and IL-18 were significantly reduced(P<0.01).CONCLUSION:Jiedu Shengji ointment alleviates excessive ERS and mitigates chronic inflammato-ry responses,thereby promoting the healing of diabetic wounds.These effects may be attributed to the inhibition of exces-sive activation of the PERK/IRE1/NLRP3 pathway.

Artificial intelligence (AI) integrated with time-lapse (TL) imaging for embryo selection significantly minimizes subjectivity and workload in traditional methods, marking a pivotal advancement in the realm of assisted reproductive technology. This review comprehensively summarizes the representative studies conducted in recent years within these domains and delves into the application of AI combined with TL imaging for embryo selection from three perspectives: data selection, model selection, and model evaluation. While AI research has yet to fully achieve automated embryo selection, it has already commenced assisting embryologists in annotating and selecting embryos to a considerable extent, thereby reducing subjective discrepancies and easing the workload. Existing software for oocyte quality scoring, embryo ploidy prediction, and transfer outcome forecasting has exhibited promising performance in studies. However, there remains an ongoing need for the development of high-quality datasets and the conduct of prospective, multicenter studies with large sample sizes across diverse devices. The evolution of AI combined with TL imaging in the field of embryo selection merits heightened attention from both clinicians and embryologists.

Artificial intelligence (AI) integrated with time-lapse (TL) imaging for embryo selection significantly minimizes subjectivity and workload in traditional methods, marking a pivotal advancement in the realm of assisted reproductive technology. This review comprehensively summarizes the representative studies conducted in recent years within these domains and delves into the application of AI combined with TL imaging for embryo selection from three perspectives: data selection, model selection, and model evaluation. While AI research has yet to fully achieve automated embryo selection, it has already commenced assisting embryologists in annotating and selecting embryos to a considerable extent, thereby reducing subjective discrepancies and easing the workload. Existing software for oocyte quality scoring, embryo ploidy prediction, and transfer outcome forecasting has exhibited promising performance in studies. However, there remains an ongoing need for the development of high-quality datasets and the conduct of prospective, multicenter studies with large sample sizes across diverse devices. The evolution of AI combined with TL imaging in the field of embryo selection merits heightened attention from both clinicians and embryologists.

AIM:This study aims to investigate the effects of Jiedu-Shengji ointment(JDSJG)on wound healing in diabetic rats by modulating the protein kinase R-like endoplasmic reticulum kinase(PERK)/inositol-requiring enzyme 1(IRE1)/nucleotide-binding oligomerization domain-like receptor protein 3(NLRP3)pathway in the context of endoplasmic reticulum stress(ERS).METHODS:Male Sprague-Dawley rats were randomly assigned to four groups:control group,model group,detoxification muscle ointment group,and sulfadiazine silver cream group.All groups,except the control,were administered an intraperitoneal injection of 45 mg/kg streptozotocin to induce diabetes.The control and model groups received daily applications of normal saline,while the detoxification myogen ointment and sulfadiazine silver cream groups received their respective treatments daily.After dressing changes,wounds were bandaged with sterile gauze.Following 14 d of continuous treatment,wound healing was assessed and healing rates calculated.Histopathologi-cal changes in wound tissues were analyzed using HE staining.Transmission electron microscopy was utilized to observe the number,morphology,and swelling of endoplasmic reticulum in the wound tissues.The expression and distribution of PERK,IRE1 and thioredoxin interacting protein(TXNIP)was assessed by immunohistochemistry,while Western blot was used to measure the levels of apoptosis-associated speck-like protein containing a caspase recruitment domain(ASC),TXNIP and NLRP3.ELISA was conducted to quantify the inflammatory cytokines interleukin-18(IL-18)and IL-1β.RE-SULTS:After 14 d of intervention,significant differences were observed in wound tissue parameters across the groups.The model group exhibited a significantly lower wound healing rate compared to the control group(P<0.01),with in-creased wound exudation,poor granulation tissue growth,and elevated the protein levels of PERK,IRE1,TXNIP,CHOP,NLRP3 and ASC(P<0.01),as well as significantly higher levels of IL-1β and IL-18(P<0.01).In contrast,the detoxification muscle ointment group showed a marked improvement in wound healing rate(P<0.01),reduced inflamma-tory exudation,improved granulation tissue growth,and significant decreases in TXNIP expression(P<0.01),along with lower levels of PERK,IRE1,CHOP,ASC and NLRP3(P<0.01).Additionally,the IL-1β and IL-18 were significantly reduced(P<0.01).CONCLUSION:Jiedu Shengji ointment alleviates excessive ERS and mitigates chronic inflammato-ry responses,thereby promoting the healing of diabetic wounds.These effects may be attributed to the inhibition of exces-sive activation of the PERK/IRE1/NLRP3 pathway.

Objective:To develop a quality control model for anal sphincter ultrasound images and validate its diagnostic performance across multiple centers.Methods:A retrospective analysis was conducted on anal sphincter ultrasound images from seven medical centers in China between May 2019 and June 2022. A total of 7 040 images from 3 116 patients were included and divided into a training set（4 912 images）and a validation set（2 128 images）. The images were classified as standard or non-standard images by three experts. Three models were developed based on different image feature extraction methods：a single-branch model，a multi-branch weighted model，and a multi-branch ensemble model. The diagnostic performance of each model was evaluated using the area under the ROC curve（AUC），sensitivity，specificity，accuracy，positive predictive value，and negative predictive value，respectively. The optimal model was selected and compared with the performance of 4 doctors with varying experience levels. Sixty days later，the images with the assistance of the model's output were reassessed by the doctors to evaluate its impact on manual quality control.Results:① Among the 3 models，the multi-branch ensemble model demonstrated the highest AUC and sensitivity，with an AUC of 0.966（95% CI=0.958 - 0.974），a sensitivity of 91.83%，and a specificity of 91.41%. This model was named M quality. ② M quality's AUC was slightly lower than that of Senior A and B（0.966 vs. 0.976，0.976，and P<0.05），its sensitivity was slightly lower than that of Senior A（91.83% vs. 95.61%， P<0.001）but comparable to Senior B（91.83% vs. 92.89%， P=0.315），its specificity was slightly lower than Senior A and B（91.41% vs. 94.44%，98.18%，and P<0.05）. However，M quality significantly outperformed Junior A and B in AUC and sensitivity（AUC：0.966 vs. 0.850，0.818；sensitivity：91.83% vs. 84.90%，61.46%；all P<0.001），its specificity was higher than that of Junior A（91.41% vs. 80.28%， P<0.001）but lower than that of Junior B（91.41% vs. 95.96%， P<0.001）. ③ With model assistance，Senior B's sensitivity（92.89% vs. 94.20%， P=0.001）and Senior A's specificity（94.44% vs. 96.56%， P<0.001）improved significantly. Junior A and B showed significant improvements in AUC and sensitivity（AUC：0.931 vs. 0.850，0.914 vs. 0.818；sensitivity：91.83% vs. 84.90%，89.53% vs. 61.46%；all P<0.001）. After model assistance，Junior A's specificity increased（93.62% vs. 80.28%， P<0.001），while Junior B's specificity decreased（91.60% vs. 95.96%， P=0.013）. Conclusions:This study develops a quality control model for anal sphincter ultrasound images with robust diagnostic performance，approaching the level of seniors. The model significantly enhances the image quality assessment capabilities of juniors，demonstrating promising clinical application potential.

Objective　 To understand the survival status and influencing factors of HIV/AIDS patients who developed low-level viremia (LLV) after receiving antiretroviral therapy in Guizhou Province from 2016 to 2022. Methods　Historical records of HIV/AIDS patients in Guizhou Province were downloaded from the China AIDS Comprehensive Prevention and Treatment Information System. The retrospective cohort method was used to calculate the survival rate usingthe life table method, and the Kaplan-Meier method was used to draw the survival curve. The Cox proportional risk regression model was used to analyze the factors affecting survival time. Results　A total of 12 240 patients with LLV were included, among which 854 had died. The observation time range of cases was 0.5-6.92 years, with the M (P25, P75) years of 3.75 (2.42, 5.00) years. The cumulative survival rates at 1, 2, 3, and 6 years after receiving antiviral treatment were 99.11%, 97.00%, 94.36%, and 85.27%, respectively. The multivariate Cox proportional risk model analysis showed the risk factors for mortality among LLV patients included being male, unmarried (aHR:1.640，95%CI:1.243-2.163), divorced or widowed and unknown (aHR:1.193, 95%CI:1.031-1.381), being of the Buyi ethnicity (aHR:1.625, 95%CI:1.310-2.015), illiteracy, heterosexual transmission, baseline WHO clinical stage Ⅳ (aHR:1.596, 95%CI:1.322-1.927), baseline CD4+T lymphocytes <200 cells/μL, initial treatment regimen being a second-line treatment regimen (aHR:1.835, 95%CI:1.208-2.786), age ≥40 years (aHR:1.498, 95%CI:1.035-2.168) and ≥50 years (aHR:3.514, 95%CI:2.468-5.003) at the beginning of ART, time from diagnosis to treatment ≥1 year (aHR:1.310, 95%CI:1.009-1.702) years, absence of compound sulfamethoxazole usage history, high-level LLV(HLLV) 400-999 copies/mL (aHR:1.446, 95%CI:1.228-1.702), and experiencing LLV only once or intermittently (intermittent low-level viremia, iLLV). Conclusions　There are many factors affecting the survival time of patients with low-level viremia. High attention should be paid and comprehensive consideration should be given to formulating treatment and follow-up management measures to improve patients' quality of life.

AIM:To investigate the effects of the compound ANBP on wound healing in diabetic rats and ex-plore its mechanism of action.METHODS:Ninety male SD rats were randomly divided into blank,model,compound ANBP,Beifuxin,and nicotinamide mononucleotide(NMN)groups,with 16 rats in each group.Wound healing in each group was observed and samples were taken on days 3,7 and 14 to analyze the wound healing rate.Local histopathological changes were observed using HE and Masson staining.The expressions of pyruvate dehydrogenase E1 subunit alpha 1(PDHA1),citrate synthase(CS),isocitrate dehydrogenase(IDH1)and oxoglutarate dehydrogenase(OGDH)were de-tected through immunofluorescence and Western blot.The number and morphology of mitochondria in the wound tissue were observed using transmission electron microscopy.RESULTS:Histomorphological changes revealed significant im-provement in diabetic wound healing in the blank and compound ANBP groups compared to that of the model group.The wound healing rates of the blank,compound ANBP,Beifuxin,and NMN groups were significantly increased on days 3,7,and 14(P<0.01).Compared to the model group,granulation tissue generation was higher in the other groups,cover-ing the wound defect and producing abundant collagen fibers.At 3,7,and 14 days after intervention,the blank,com-pound ANBP,Beifuxin,and NMN groups showed significantly enhanced fluorescence intensities of TCA cycling-related enzymes PDHA1,CS,IDH1,and OGDH indicating increased expression of these enzymes.The levels of the TCA cy-cling-related enzymes were significantly increased(P<0.01)in the compound ANBP,Beifuxin and NMN groups but were significantly decreased(P<0.01)in the model group.An increase in the number and density of mitochondria and a de-crease in the cavitation rate of mitochondria with improved morphology(P<0.05)was observed in the group treated with compound ANBP.CONCLUSION:Compound ANBP may increase the number of mitochondria,improve mitochondrial morphology and function,upregulate the expression levels of PDHA1,CS,IDH1,and OGDH proteins,and accelerate the regeneration of wound granulation tissue,thus promoting the healing of diabetic wounds in rats.

The paper reported a patient under maintained hemodialysis for 11 years, with a large mass appeared in the right thigh after local injury. The mass was clinically considered as tumoral calcinosis combined with clinical, imaging and pathological findings. Several treatments such as enhancing dialysis adequacy, low calcium dialysate, calcimimetic agent, non-calcium- phosphorus binding agents, parathyroidectomy and intravenous infusion of sodium thiosulfate could not vanish the mass. Finally, the lump was surgically removed. The treatment of tumoral calcinosis in the hemodialysis patient can provide a instruction for similar situations in clinical practice.