Aim To investigate the effects of sodium lactate(NALA)on right heart failure induced by monocrotaline(MCT)-induced pulmonary arterial hy-pertension in rats and to reveal the underlying mecha-nisms.Methods Forty male Sprague-Dawley(SD)rats were randomly allocated into four groups,with ten rats in each group,namely,MCT group,NALA group,and NALA+MCT group;the MCT and NALA+MCT groups were administered a single intraperito-neal injection of MCT at 60 mg·kg-1 to induce pul-monary hypertension,and one week later,the NALA and NALA+MCT groups received intraperitoneal in-jections of NALA at 0.1 g·kg-1(once a day,for 5 weeks),while the CON and MCT groups received e-qual volumes of physiological saline(once a day,for 5 weeks);right heart function was assessed using echo-cardiography,right ventricular and pulmonary artery remodeling were evaluated via histopathological sec-tions,and the expression levels of ANP,BNP,and in-flammatory factors were measured by ELISA,along with assessments of oxidative stress levels,Western blot detection of the expression levels of proteins in the TLR4/NF-κB signaling pathway.Results Compared to the CON group,the MCT group exhibited increased RVSP and RVHI,decreased right heart function,in-creased collagen fiber deposition,and elevated oxida-tive stress and inflammatory factor expression,and the expression levels of proteins in the TLR4/NF-κB signa-ling pathway increased(P＜0.05);compared to the MCT group,the NALA+MCT group showed reduced RVSP and RVHI,improved right heart function,atten-uated pulmonary vascular remodeling,decreased ex-pression of ANP,BNP,inflammatory factors,and H2O2,along with increased antioxidant enzyme expres-sion,and the expression levels of proteins in the TLR4/NF-κB signaling pathway decreased(P＜0.05).Conclusion NALA can inhibit right ventric-ular remodeling in rats with pulmonary hypertension,and the underlying mechanism may involve the allevia-tion of inflammatory responses and oxidative stress through the inhibition of the TLR4/NF-κB signaling pathway.

Cardiac fibrosis(CF) is a cardiac pathological process characterized by excessive deposition of extracellular matrix(ECM). When the heart is damaged by adverse stimuli, cardiac fibroblasts are activated and secrete a large amount of ECM, leading to changes in cardiac fibrosis, myocardial stiffness, and cardiac function declines and accelerating the development of heart failure. There is a close relationship between heart yin deficiency and cardiac fibrosis, which have similar pathogenic mechanisms. Heart Yin deficiency, characterized by insufficient Yin fluids, causes the heart to lose its nourishing function, which acts as the initiating factor for myocardial dystrophy. The deficiency of body fluids leads to stagnation of blood flow, resulting in blood stasis and water retention. Blood stasis and water retention accumulate in the heart, which aligns with the pathological manifestation of excessive deposition of ECM, as a tangible pathogenic factor. This is an inevitable stage of the disease process. The lingering of blood stasis combined with water retention eventually leads to the generation of heat and toxins, triggering inflammatory responses similar to heat toxins, which continuously stimulate the heart and cause the ultimate outcome of CF. Considering the syndrome of heart Yin deficiency, traditional Chinese medicine capable of nourishing Yin, activating blood, and promoting urination can reduce myocardial cell apoptosis, inhibit fibroblast activation, and lower the inflammation level, showing significant advantages in combating CF.
Humans ; Fibrosis/drug therapy* ; Animals ; Yin Deficiency/metabolism* ; Myocardium/metabolism* ; Medicine, Chinese Traditional ; Drugs, Chinese Herbal/therapeutic use*

Objective:To develop an artificial intelligence-based model for automated recognition of serum indices using machine vision and deep learning.Methods:This study was a cross-sectional study.Serum sample images were collected fromWest China Hospital of Sichuan University from September 21, 2020 to January 20, 2023 using the imaging device of the fully automated sample pre-processing system. A computer random number generator was used to randomly select one whole hour each day, and all serum sample images processed within that hour were included. After excluding samples with unqualified images and missing serum index results, a total of 5, 534 samples were included. These were divided into a training set and a test set in an 8∶2 ratio using Python random shuffle function, and 4, 458 samples were in the training set and 1, 076 samples were in the test set. After manual inspection, the serum regions were annotated using the MATLAB Image Labeler tool and converted into YOLO format, and a YOLO v5-based model was constructed for automatic serum region extraction. The actual values of lipemia index (L-index), hemolysis index (H-index), and icterus index (I-index) were measured using the automatic biochemical analyzerwith matched reagent kits. A serum index regression model was constructed based on the MobileNet v2 network using the PyTorch 1.10.0 framework. The grading performance of the model was evaluated using accuracy, Kappa coefficient, sensitivity, specificity, positive predictive value, and negative predictive value. Regression performance was assessed using root mean square error (RMSE), mean absolute error (MAE), coefficient of determination (R2), and Bland-Altman analysis.Results:The overall accuracy rates for grading L-index, H-index, and I-index were 98.88%, 95.26%, and 92.47%, respectively, with Kappa coefficients of 0.72, 0.72, and 0.59. For L-index, MAE was 5.11, RMSE was 9.77, and R2 was 0.78. For H-index, MAE was 5.18, RMSE was 8.99, and R2 was 0.89. For I-index, MAE was 1.13, RMSE was 3.01, and R2 was 0.71. Bland-Altman analysis showed that 95.5%, 95.1%, and 95.7% of the data points fell within the consistency intervals for L-index, H-index, and I-index, respectively.Conclusion:The study developed an artificial intelligence-based serum index regression modelto estimate serum indices with high efficiency and accuracy. It shows great potential for reducing laboratory costs, improving clinical testing efficiency, and promoting intelligent development in laboratory medicine.

Icariin is a pure compound derived from Epimedium brevicornu Maxim, and it helps the regulation of male reproduction. Nevertheless, the role and underlying mechanisms of Icariin in mediating male germ cell development remain to be clarified. Here, we have demonstrated that Icariin promoted proliferation and DNA synthesis of mouse spermatogonial stem cells (SSCs). Furthermore, surface plasmon resonance iron (SPRi) and molecular docking (MOE) assays revealed that phosphodiesterase 5A (PDE5A) was an important target of Icariin in mouse SSCs. Mechanically, Icariin decreased the expression level of PDE5A. Interestingly, hydrogen peroxides (H 2 O 2 ) enhanced the expression level of phosphorylation H2A.X (p-H2A.X), whereas Icariin diminished the expression level of p-H2A.X and DNA damage caused by H 2 O 2 in mouse SSCs. Finally, our in vivo animal study indicated that Icariin protected male reproduction. Collectively, these results implicate that Icariin targets PDE5A to regulate mouse SSC viability and DNA damage and improves male reproductive capacity. This study thus sheds new insights into molecular mechanisms underlying the fate decisions of mammalian SSCs and offers a scientific basis for the clinical application of Icariin in male reproduction.
Male ; Animals ; Flavonoids/pharmacology* ; Mice ; Cyclic Nucleotide Phosphodiesterases, Type 5/drug effects* ; DNA Damage/drug effects* ; Cell Survival/drug effects* ; Cell Proliferation/drug effects* ; Spermatogonia/drug effects* ; Reproduction/drug effects* ; Adult Germline Stem Cells/metabolism* ; DNA Replication/drug effects*

Aim To investigate the effects of sodium lactate(NALA)on right heart failure induced by monocrotaline(MCT)-induced pulmonary arterial hy-pertension in rats and to reveal the underlying mecha-nisms.Methods Forty male Sprague-Dawley(SD)rats were randomly allocated into four groups,with ten rats in each group,namely,MCT group,NALA group,and NALA+MCT group;the MCT and NALA+MCT groups were administered a single intraperito-neal injection of MCT at 60 mg·kg-1 to induce pul-monary hypertension,and one week later,the NALA and NALA+MCT groups received intraperitoneal in-jections of NALA at 0.1 g·kg-1(once a day,for 5 weeks),while the CON and MCT groups received e-qual volumes of physiological saline(once a day,for 5 weeks);right heart function was assessed using echo-cardiography,right ventricular and pulmonary artery remodeling were evaluated via histopathological sec-tions,and the expression levels of ANP,BNP,and in-flammatory factors were measured by ELISA,along with assessments of oxidative stress levels,Western blot detection of the expression levels of proteins in the TLR4/NF-κB signaling pathway.Results Compared to the CON group,the MCT group exhibited increased RVSP and RVHI,decreased right heart function,in-creased collagen fiber deposition,and elevated oxida-tive stress and inflammatory factor expression,and the expression levels of proteins in the TLR4/NF-κB signa-ling pathway increased(P＜0.05);compared to the MCT group,the NALA+MCT group showed reduced RVSP and RVHI,improved right heart function,atten-uated pulmonary vascular remodeling,decreased ex-pression of ANP,BNP,inflammatory factors,and H2O2,along with increased antioxidant enzyme expres-sion,and the expression levels of proteins in the TLR4/NF-κB signaling pathway decreased(P＜0.05).Conclusion NALA can inhibit right ventric-ular remodeling in rats with pulmonary hypertension,and the underlying mechanism may involve the allevia-tion of inflammatory responses and oxidative stress through the inhibition of the TLR4/NF-κB signaling pathway.

Objective:To develop an artificial intelligence-based model for automated recognition of serum indices using machine vision and deep learning.Methods:This study was a cross-sectional study.Serum sample images were collected fromWest China Hospital of Sichuan University from September 21, 2020 to January 20, 2023 using the imaging device of the fully automated sample pre-processing system. A computer random number generator was used to randomly select one whole hour each day, and all serum sample images processed within that hour were included. After excluding samples with unqualified images and missing serum index results, a total of 5, 534 samples were included. These were divided into a training set and a test set in an 8∶2 ratio using Python random shuffle function, and 4, 458 samples were in the training set and 1, 076 samples were in the test set. After manual inspection, the serum regions were annotated using the MATLAB Image Labeler tool and converted into YOLO format, and a YOLO v5-based model was constructed for automatic serum region extraction. The actual values of lipemia index (L-index), hemolysis index (H-index), and icterus index (I-index) were measured using the automatic biochemical analyzerwith matched reagent kits. A serum index regression model was constructed based on the MobileNet v2 network using the PyTorch 1.10.0 framework. The grading performance of the model was evaluated using accuracy, Kappa coefficient, sensitivity, specificity, positive predictive value, and negative predictive value. Regression performance was assessed using root mean square error (RMSE), mean absolute error (MAE), coefficient of determination (R2), and Bland-Altman analysis.Results:The overall accuracy rates for grading L-index, H-index, and I-index were 98.88%, 95.26%, and 92.47%, respectively, with Kappa coefficients of 0.72, 0.72, and 0.59. For L-index, MAE was 5.11, RMSE was 9.77, and R2 was 0.78. For H-index, MAE was 5.18, RMSE was 8.99, and R2 was 0.89. For I-index, MAE was 1.13, RMSE was 3.01, and R2 was 0.71. Bland-Altman analysis showed that 95.5%, 95.1%, and 95.7% of the data points fell within the consistency intervals for L-index, H-index, and I-index, respectively.Conclusion:The study developed an artificial intelligence-based serum index regression modelto estimate serum indices with high efficiency and accuracy. It shows great potential for reducing laboratory costs, improving clinical testing efficiency, and promoting intelligent development in laboratory medicine.

Mytilus is one of bivalves with great economic and ecological values.The innate immune de-fense of Mytilus shows great significance in the study of marine biological immunology.Hemolymph is the main immune tissue for Mytilus.The Nanopore full-length transcriptome of Mytilus coruscus hemocytes,and the serum differential proteomics based on SDS-PAGE analysis were performed to identify key pro-teins involving in the immune response of Mytilus hemolymph in response of different bacteria and fungi stresses.A total of 44 proteins were identified in the serum induced by different microorganisms.Among them,26 proteins showed significant differential expression level in response to different microbial stres-ses,and their functions were involved in protein folding protection,cell autophagy and apoptosis regula-tion,reactive oxygen species production,energy metabolism regulation,cell detoxification,and immune regulation.The changes in expression levels of these proteins varied in response to different bacterial and fungal stresses,suggesting that Mytilus has different immune response strategies to different bacterial and fungal stresses.The results provide a new scientific basis for understanding the differential immune mech-anism of Mytilus innate immune system in response to different types of microbial invasion,as well as the screening of specific biomarker proteins for microbial infection,and provide ideas for the healthy develop-ment and disease prevention of shellfish aquaculture.

Abstract: Objective　To explore the spatial epidemiological characteristics of severe cases hand, foot and mouth disease (HFMD) in Guangxi, China, from 2014 to 2018, and to provide a basis for identifying the high-risk regions as well as the prevention and control of severe cases of HFMD in Guangxi. Methods　Spatial-temporal scanning analysis, global and local spatial autocorrelation analysis were used to analyze the spatial clustering of HFMD. The trend surface analysis was used to evaluate the spatial distribution trend of HFMD. Results　From 2014 to 2018, the incidence and severe case fatality rates of HFMD were 3.89/100 000 and 4.23%, respectively. Monte Carlo scanning analysis showed that the first cluster region was Cenxi City, the second cluster was mainly concentrated in northwest of Guangxi, and the aggregation time was mainly concentrated in April to May and August to October. The global spatial autocorrelation analysis showed that the severe HFMD was significant clustering distribution, and the Moran's I coefficients of the sever cases, severe morbidity and severe case fatality rate were 0.088, 0.118, 0.197, respectively (P<0.05). Local spatial autocorrelation analysis showed that hotspots of severe HFMD cases were concentrated in the southern Guangxi, mainly in Lingshan County. Anselin local Moran's I clustering and outlier analysis indicated that 5 high-high (H-H) clustering regions for fatality were Lingshan, Pubei, Zhongshan, Zhaoping and Pinggui County. There were 6 high-high (H-H) clustering regions for severe incidence rate, namely Lingshan, Qinnan, Lingyun, Youjiang, Bama Yao Autonomous and Pinggui County, and 1 high-low (H-L) clustering region, Cenxi County. The trend surface analysis showed that the overall number of severe cases of death decreased from east or west to the middle, and increased from north to middle, and then decreased to south. Conclusions　Severe HFMD cases in Guangxi have obvious spatial-temporal clustering, and the hop spots are mainly concentrated in southern Guangxi. The prevention and control of HFMD in areas with high incidence of severe cases should be strengthened to reduce the burden of HFMD cases.

OBJECTIVE: To explore pro-oxidative state of rotator cuff tissue and expression levels of Beclin-1 and mam-malian target of rapamycin(mTOR) in patients with acute and chronic rotator cuff injury, and then analyzed relationship between rotator cuff injury and oxidative stress and autophagy. METHODS: Forty patients with rotator cuff injury were seleceted from July 2019 to December 2020, and divided into male chronic injury group, male acute injury group, female chronic injury group, and female acute injury group, 10 patients in each group. All patients were performed rotator cuff repair under arthroscopy. The sample of tendon at the rotator cuff injury site of the patient was taken during operation, and total reactive oxygen species (ROS) and superoxide dismutase(SOD) were detected by detection kit;expression of Beclin-1 and mTOR mRNA were detected by reverse transcription-polymerase chain reaction (RT-PCR), and Western-blot was applied to detect protein expression of Beclin-1 and p-mTOR/mTOR. RESULTS: There were no significant difference in expression of ROS, SOD, Beclin-1mRNA and mTOR mRNA between male and female chronic injury groups, and between male and female acute injury groups (P>0.05); ROS, SOD and Beclin-1mRNA in male chronic injury group were higher than those in male chronic injury group, while mTOR mRNAand protein decreased (P<0.05);ROS, SOD and Beclin-1 mRNA in female chronic injury group were up-regulated compared with female acute injury group, while mTOR mRNA was down-regulated (P<0.05). CONCLUSION Chronic rotator cuff injury is more likely to stimulate the pro-oxidation state of rotator cuff tissue than acute rotator cuff injury, which could up-regulating expression of autophagy factor Beclin-1 and down-regulating expression of mTOR. Therefore, patients with chronic rotator cuff injury may have higher levels of oxidative stress and autophagy.
Female ; Humans ; Male ; Beclin-1/metabolism* ; Reactive Oxygen Species/metabolism* ; RNA, Messenger/metabolism* ; Rotator Cuff/surgery* ; Rotator Cuff Injuries/surgery* ; Superoxide Dismutase/metabolism* ; TOR Serine-Threonine Kinases/metabolism*

AIM: To compare the clinical effect of femtosecond-assisted laser in situ keratomileusis(FS-LASIK)and trans-epithelial photorefractive keratectomy(TransPRK)using 750Hz ablation frequency and smart pulse technology(SPT)in the correction for moderate myopia.METHODS: A non-randomised, prospective cohort study was conducted on the included 48 patients(90 eyes)treated with FS-LASIK and 47 patients(90 eyes)treated with TransPRK. All eyes were moderate myopia(spherical equivalence -3.00～-6.00D). Both FS-LASIK and TransPRK were performed by Schwind Amaris 750S excimer laser. Visual acuity, refraction and corneal high order aberration were analyzed before and at 6mo after surgery, respectively, to evaluate the surgical efficacy.RESULTS: The diopters at 6mo after the surgery of FS-LASIK and TransPRK were emmetropic and relatively stable. There was no significant difference in preoperative and postoperative SE between the two groups(P>0.05). The total high order aberration, spherical aberration, and vertical coma at 6mo after surgery in the FS-LASIK group and TransPRK group were significantly higher than those before surgery(all P<0.001), and the total high order aberration and vertical coma in the FS-LASIK group were higher than those in the TransPRK group(all P<0.001). The mean validity index at 6mo after surgery was 1.054±0.172 and 1.082±0.147(t=-0.755, P=0.459)in the FS-LASIK group and TransPRK group, respectively. Moreover, the mean safety index of the FS-LASIK group was 1.009±0.114 at 6mo after surgery, which was significantly lower than 1.124±0.213 of the TransPRK group(t=-2.322, P=0.033).CONCLUSION: Both FS-LASIK and SPT-guided TransPRK had better postoperative long-term vision. The total high order aberration and vertical coma of patients in the FS-LASIK group were higher than those in the TransPRK group, and the safety index of FS-LASIK was lower than that in the TransPRK group.