Acute kidney injury (AKI) has high morbidity and mortality, but effective clinical drugs and management are lacking. Previous studies have suggested that macrophages play a crucial role in the inflammatory response to AKI and may serve as potential therapeutic targets. Emerging evidence has highlighted the importance of forkhead box protein O1 (FoxO1) in mediating macrophage activation and polarization in various diseases, but the specific mechanisms by which FoxO1 regulates macrophages during AKI remain unclear. The present study aimed to investigate the role of FoxO1 in macrophages in the pathogenesis of AKI. We observed a significant upregulation of FoxO1 in kidney macrophages following ischemia-reperfusion (I/R) injury. Additionally, our findings demonstrated that the administration of FoxO1 inhibitor AS1842856-encapsulated liposome (AS-Lipo), mainly acting on macrophages, effectively mitigated renal injury induced by I/R injury in mice. By generating myeloid-specific FoxO1-knockout mice, we further observed that the deficiency of FoxO1 in myeloid cells protected against I/R injury-induced AKI. Furthermore, our study provided evidence of FoxO1's pivotal role in macrophage chemotaxis, inflammation, and migration. Moreover, the impact of FoxO1 on the regulation of macrophage migration was mediated through RhoA guanine nucleotide exchange factor 1 (ARHGEF1), indicating that ARHGEF1 may serve as a potential intermediary between FoxO1 and the activity of the RhoA pathway. Consequently, our findings propose that FoxO1 plays a crucial role as a mediator and biomarker in the context of AKI. Targeting macrophage FoxO1 pharmacologically could potentially offer a promising therapeutic approach for AKI.

Objective:To develop an artificial intelligence (AI)-based platelet review strategy to identify abnormal platelet histograms with no significant difference between initial impedance platelet count (PLT-I) and PLT-F results.Methods:This study included 5 119 routine blood analysis in Nanfang Hospital of Southern Medical University and its Ganzhou branch from July 2023 and March 2024. Specimens exhibiting abnormal platelet histograms and an initial platelet count >40×10?/L underwent review using the fluorescent platelet count (PLT-F) channel. Consistency of the results was defined as a difference between impedance platelet count (PLT-I) and PLT-F less than ±20% of the PLT-F results. A deep learning model was developed using platelet and red blood cell histogram data from a training set of 3 807 specimens. The model′s diagnostic performance was evaluated on an independent external validation set ( n=805) using receiver operating characteristic (ROC) curve analysis. Changes in the number of reviewed samples and sample turnaround time were analyzed to assess its clinical utility. Results:The deep learning model based on platelet and red blood cell histograms achieved an area under the ROC curve (AUC) of 0.854 in the training set. At a cutoff value of 0.1, the sensitivity was 0.954 and specificity was 0.358. The model could reduce review by 16.80% (190/1 131). In the validation set, the AUC was 0.805, with a sensitivity of 0.955 and specificity of 0.307, corresponding to a reduction of 17.41% (47/270) in reviewed specimens.Conclusion:The platelet review prediction model developed based on deep learning technology can efficiently identify samples with consistent results before and after review, reducing unnecessary reviews and shortening specimen testing time, thereby improving the efficiency of platelet test.

This paper summarizes the progress of theoretical research and practice of One Health in China,and discusses the paradigm of One Health governance to improve the prevention and control of infectious diseases in China and the world,and provide an example for the improvement of the public health system.In particular,China has long history to apply the concept of One Health in the national schistosomiasis control programmes and patriotic health campaigns,which were not only focusing on human health,but also emphasizing the sustainable development of animal health and ecological environment.At the same time,the application of tools such as system dynamics model,eDNA technology,One Health economic assessment and global One Health index(GOHI)in the field of disease control and environmental health provides technical support for the concept of One Health.Despite the challenges of practical application of these tools,the One Health concept will play a greater role in providing sustainable solutions for human-animal-environmental health by strengthening interdisciplinary collaboration,improving standardization protocols and promoting inter-national cooperation.

This paper summarizes the progress of theoretical research and practice of One Health in China,and discusses the paradigm of One Health governance to improve the prevention and control of infectious diseases in China and the world,and provide an example for the improvement of the public health system.In particular,China has long history to apply the concept of One Health in the national schistosomiasis control programmes and patriotic health campaigns,which were not only focusing on human health,but also emphasizing the sustainable development of animal health and ecological environment.At the same time,the application of tools such as system dynamics model,eDNA technology,One Health economic assessment and global One Health index(GOHI)in the field of disease control and environmental health provides technical support for the concept of One Health.Despite the challenges of practical application of these tools,the One Health concept will play a greater role in providing sustainable solutions for human-animal-environmental health by strengthening interdisciplinary collaboration,improving standardization protocols and promoting inter-national cooperation.

Objective:To develop an artificial intelligence (AI)-based platelet review strategy to identify abnormal platelet histograms with no significant difference between initial impedance platelet count (PLT-I) and PLT-F results.Methods:This study included 5 119 routine blood analysis in Nanfang Hospital of Southern Medical University and its Ganzhou branch from July 2023 and March 2024. Specimens exhibiting abnormal platelet histograms and an initial platelet count >40×10?/L underwent review using the fluorescent platelet count (PLT-F) channel. Consistency of the results was defined as a difference between impedance platelet count (PLT-I) and PLT-F less than ±20% of the PLT-F results. A deep learning model was developed using platelet and red blood cell histogram data from a training set of 3 807 specimens. The model′s diagnostic performance was evaluated on an independent external validation set ( n=805) using receiver operating characteristic (ROC) curve analysis. Changes in the number of reviewed samples and sample turnaround time were analyzed to assess its clinical utility. Results:The deep learning model based on platelet and red blood cell histograms achieved an area under the ROC curve (AUC) of 0.854 in the training set. At a cutoff value of 0.1, the sensitivity was 0.954 and specificity was 0.358. The model could reduce review by 16.80% (190/1 131). In the validation set, the AUC was 0.805, with a sensitivity of 0.955 and specificity of 0.307, corresponding to a reduction of 17.41% (47/270) in reviewed specimens.Conclusion:The platelet review prediction model developed based on deep learning technology can efficiently identify samples with consistent results before and after review, reducing unnecessary reviews and shortening specimen testing time, thereby improving the efficiency of platelet test.

Objective To observe the effect of Renshen(ginseng)-Yuzhu(fragrant solomonseal rhizome)on inflammatory factors and inflammasomes in depression rats,and to explore the antidepressant mechanism of Renshen-Yuzhu.Methods Fifty male SD rats were divided into the blank group,model group,fluoxetine group(2.1 mg/kg),Renshen-Yuzhu low-dose group(1.89 g/kg),and Renshen-Yuzhu high-dose group(5.67 g/kg),with ten rats in each group.Except for the blank group,the rats in the other groups were treated with chronic unpredictable mild stress to establish a depression rat model.On the second day after the end of modeling,the rats in each group were given the corresponding drugs once daily for 14 days.After modeling and dosing,body weight,forced swimming immobility time,and sucrose preference rate were measured.After dosing,hematoxylin-eosin staining was used to detect neuronal damage in the cerebral cortex,enzyme-linked immunosorbent assay was used to detect the contents of interleukin-4(IL-4),interleukin-23(IL-23),and interleukin-27(IL-27)in cortex,real-time PCR was used to detect the mRNA expression of interleukin-24(IL-24)in cortex,and the protein expressions of nucleotide-binding oligomerization domain-like receptor protein 1(NLRP1),absent in melanoma 2(AIM2),and nucleotide-binding oligomerization domain-like receptor protein 4(NLRC4)were detected by Western blotting.Results After dosing,compared with the blank group,the body weight of the model group decreased,the sucrose preference rate decreased,the swimming immobility time was prolonged,the neuronal tissue in cortex was destroyed,the content of IL-4 in cortex decreased,the contents of IL-23 and IL-27 in cortex increased,and the protein expressions of NLRP1,AIM2 and NLRC4 in cortex increased(P＜0.01).Compared with the model group,the body weight of rats in each administration group increased,the sucrose preference rate increased,the swimming immobility time was shortened,the damage of neuronal tissues in cortex improved,the content of IL-4 in cortex increased,the contents of IL-23 and IL-27 in cortex decreased,and the protein expressions of NLRP 1,AIM2 and NLRC4 in cortex decreased(P＜0.05).Conclusion Renshen-Yuzhu couplet medicines can improve the depressive-like behavior and exert antidepressant effect in chronic stress rats,and its mechanism may be related to the inhibition of NLRP 1,NLRC4,AIM2 inflammasome activation and its mediated inflammatory response in cortex,reducing pro-inflammatory cytokines,and increasing the level of antiinflammatory cytokines.

OBJECTIVES: To investigate the risk factors for neonatal asphyxia in Hubei Enshi Tujia and Miao Autonomous Prefecture and establish a nomogram model for predicting the risk of neonatal asphyxia. METHODS: A retrospective study was conducted with 613 cases of neonatal asphyxia treated in 20 cooperative hospitals in Enshi Tujia and Miao Autonomous Prefecture from January to December 2019 as the asphyxia group, and 988 randomly selected non-asphyxia neonates born and admitted to the neonatology department of these hospitals during the same period as the control group. Univariate and multivariate analyses were used to identify risk factors for neonatal asphyxia. R software (4.2.2) was used to establish a nomogram model. Receiver operator characteristic curve, calibration curve, and decision curve analysis were used to assess the discrimination, calibration, and clinical usefulness of the model for predicting the risk of neonatal asphyxia, respectively. RESULTS: Multivariate logistic regression analysis showed that minority (Tujia), male sex, premature birth, congenital malformations, abnormal fetal position, intrauterine distress, maternal occupation as a farmer, education level below high school, fewer than 9 prenatal check-ups, threatened abortion, abnormal umbilical cord, abnormal amniotic fluid, placenta previa, abruptio placentae, emergency caesarean section, and assisted delivery were independent risk factors for neonatal asphyxia (P<0.05). The area under the curve of the model for predicting the risk of neonatal asphyxia based on these risk factors was 0.748 (95%CI: 0.723-0.772). The calibration curve indicated high accuracy of the model for predicting the risk of neonatal asphyxia. The decision curve analysis showed that the model could provide a higher net benefit for neonates at risk of asphyxia. CONCLUSIONS The risk factors for neonatal asphyxia in Hubei Enshi Tujia and Miao Autonomous Prefecture are multifactorial, and the nomogram model based on these factors has good value in predicting the risk of neonatal asphyxia, which can help clinicians identify neonates at high risk of asphyxia early, and reduce the incidence of neonatal asphyxia.
Infant, Newborn ; Humans ; Male ; Pregnancy ; Female ; Nomograms ; Retrospective Studies ; Cesarean Section ; Risk Factors ; Asphyxia Neonatorum/etiology*

OBJECTIVE: To investigate the effect of Yinlai Decoction (YD) on the microstructure of colon, and activity of D-lactic acid (DLA) and diamine oxidase (DAO) in serum of pneumonia mice model fed with high-calorie and high-protein diet (HCD). METHODS: Sixty male Kunming mice were randomly divided into 6 groups by the random number table method: normal control, pneumonia, HCD, HCD with pneumonia (HCD-P), YD (229.2 mg/mL), and dexamethasone (15.63 mg/mL) groups, with 10 in each group. HCD mice were fed with 52% milk solution by gavage. Pneumonia mice was modeled with lipopolysaccharide inhalation and was fed by gavage with either the corresponding therapeutic drugs or saline water, twice daily, for 3 days. After hematoxylin-eosin staining, the changes in the colon structure were observed under light microscopy and transmission electron microscope, respectively. Enzyme-linked immunosorbent assay was used to detect the protein levels of DLA and DAO in the serum of mice. RESULTS: The colonic mucosal structure and ultrastructure of mice in the normal control group were clear and intact. The colonic mucosal goblet cells in the pneumonia group tended to increase, and the size of the microvilli varied. In the HCD-P group, the mucosal goblet cells showed a marked increase in size with increased secretory activity. Loose mucosal epithelial connections were also observed, as shown by widened intercellular gaps with short sparse microvilli. These pathological changes of intestinal mucosa were significantly reduced in mouse models with YD treatment, while there was no significant improvement after dexamethasone treatment. The serum DLA level was significantly higher in the pneumonia, HCD, and HCD-P groups as compared with the normal control group (P<0.05). Serum DLA was significantly lower in the YD group than HCD-P group (P<0.05). Moreover, serum DLA level significantly increased in the dexamethasone group as compared with the YD group (P<0.01). There was no statistical significance in the serum level of DAO among groups (P>0.05). CONCLUSIONS YD can protect function of intestinal mucosa by improving the tissue morphology of intestinal mucosa and maintaining integrity of cell connections and microvilli structure, thereby reducing permeability of intestinal mucosa to regulate the serum levels of DLA in mice.
Mice ; Male ; Animals ; Lactic Acid/pharmacology* ; Intestinal Mucosa ; Colon/pathology* ; Dexamethasone/pharmacology* ; Diet, High-Protein ; Pneumonia/pathology*

OBJECTIVE: To investigate the effect of curcumol on NOD-like receptor thermoprotein domain 3 (NLRP3) inflammasomes, and analyze the mechanism underlying curcumol against liver fibrosis. METHODS: Thirty Kunming mice were divided into a control group, a model group and a curcumol group according to a random number table, 10 mice in each group. Mice were intraperitoneally injected with 40% carbon tetrachloride (CCl₄:peanut oil, 2:3 preparation) at 5 mL/kg for 6 weeks, twice a week, for developing a liver fibrosis model. The mice in the control group were given the same amount of peanut oil twice a week for 6 weeks. The mice in the curcumol group were given curcumol (30 mL/kg) intragastrically, and the mice in the model and control groups were given the same amount of normal saline once a day for 6 weeks. Changes in liver structure were observed by hematoxylin and eosin (HE) and Masson staining. Liver function, liver fiber indices, and the expression of interleukin (IL)-10 and tumor necrosis factor-α (TNF-α) levels were determined by automatic biochemical analyzer and enzyme linked immunosorbent assay kit. Immunoblotting and reverse transcription-quantitative PCR (RT-qPCR) were performed to detect the expression of NLRP3 inflammasome-related molecules, TGF-β and collagen. RESULTS: HE and Masson staining results showed that the hepatocytes of the model group were arranged irregularly with pseudo-lobular structure and a large amount of collagen deposition. The mice in the curcumol group had a significant decrease in liver function and liver fibers indices compared with the model group (P<0.05); RT-qPCR and Western blotting results reveal that, in the curcumol group, the mRNA and protein expression levels of NLRP3, IL-1 β, Caspase 1 and gasdermin D decreased significantly compared with the model group (P<0.05); immunohistochemical results showed that in the curcumol group, the protein expression levels of NLRP3 and IL-1 β decreased significantly compared with the model group (P<0.05). CONCLUSION A potential anti-liver fibrosis mechanism of curcumol may be associated with the inhibition of NLRP3 inflammasomes and decreasing the downstream inflammatory response.
Animals ; Mice ; Inflammasomes/metabolism* ; Interleukin-1beta/metabolism* ; NLR Family, Pyrin Domain-Containing 3 Protein/metabolism* ; NLR Proteins ; Caspase 1 ; Tumor Necrosis Factor-alpha ; Carbon Tetrachloride ; Hematoxylin ; Saline Solution ; Eosine Yellowish-(YS) ; Peanut Oil ; Liver Cirrhosis/drug therapy* ; RNA, Messenger/genetics* ; Collagen ; Transforming Growth Factor beta

Abdomen/surgery* ; Humans ; Laparoscopy/methods* ; Pelvic Floor/surgery* ; Perineum/surgery* ; Proctectomy ; Rectal Neoplasms/surgery*