Kidney transplantation is the most effective treatment for end-stage renal failure, and antibody-mediated rejection remains the leading cause of late allograft loss. Macrophages, as central effectors of innate immunity, play a crucial role in the initiation, progression and tissue damage of antibody-mediated rejection. This article reviews the spatiotemporal dynamic evolution of macrophage polarization status in different stages of antibody-mediated rejection, the fine regulation of key signaling pathways for macrophage polarization, macrophage related molecules and the application prospects of targeted macrophage therapy. In depth analysis of the research progress of macrophages in antibody-mediated rejection, aiming to provide important theoretical basis for the development of precision diagnostic tools based on macrophages and novel immune intervention targets for antibody mediated rejection, ultimately promoting the improvement of long-term prognosis in kidney transplantation.

ObjectiveTo investigate the correlation between iron metabolism parameters and various syndrome types of unstable angina pectoris （UAP）. MethodsA cross-sectional study was conducted from October 2021 to October 2023， encompassing 213 patients diagnosed with UAP at Xiyuan Hospital of Chinese Academy of Chinese Medical Sciences. Additionally， 30 healthy individuals were selected as control cases. Single-factor analysis was used to investigate the differences in clinical data among different Traditional Chinese Medicine （TCM） syndrome types of UAP and their correlation with iron metabolism indices. The study conducted a comparative analysis of the aforementioned clinical data among patients with and without heat-toxic and blood-stasis syndrome. Logistic regression was used to analyze the correlation between TCM syndrome types and related factors. The receiver operator characteristic （ROC） curve was employed to assess the predictive value of iron metabolism indices， along with their sensitivity and specificity. ResultsCompared to those in the control group， serum iron （SI） and serum ferritin （SF） levels were significantly increased in the UAP group （P<0.01）， while transferrin （TRF） and total iron binding capacity （TIBC） levels were decreased （P<0.01）. However， there was no significant difference in unsaturated iron binding capacity （UIBC）. Multivariate binary Logistic regression analysis identified apolipoprotein A1 （ApoA1）， homocysteine （HCY）， high-sensitivity C-reactive protein （hs-CRP）， and SF as independent influencing factors for the UAP patients （P<0.05， P<0.01）. Additionally， statistically significant differences were observed in SI， SF， TRF， and TIBC among 213 patients with different TCM types （P<0.01）. Patients with heat-toxic and blood-stasis syndrome had higher SI and SF values than those without the syndrome （P<0.01）， while their TIBC and TRF values were lower （P<0.01）. Multivariate binary logistic regression analysis showed that SI and LDL-C levels were closely associated with the differentiation of heat-toxic and blood-stasis syndrome. ConclusionUAP patients often experience iron metabolism disorders， and the heat-toxic and blood-stasis syndrome are significantly correlated with iron metabolism parameters. The SI and LDL-C levels have high specificity and sensitivity in diagnosing heat-toxic and blood-stasis syndrome.

Taxifolin (TAX) is a natural compound known for its liver protection effect, but the mechanism remains unknown. Phosphorylated proteomics analyses discovered that the phosphorylation level of NDRG1 at T328 was a key event of TAX-improved liver fibrosis. We established models with NDRG1 knockout (KO) in vivo and in vitro, demonstrating that NDRG1 KO attenuated the development of hepatocyte injury, and combining NDRG1 KO and TAX administration did not result in a reduction in protection against liver injury. Cellular thermal shift assay and surface plasma resonance analysis showed that TAX directly binds to NDRG1 rather than its upstream kinase, subsequently demonstrating that TAX regulated phosphorylation of NDRG1 at T328 through binding to its C289 site. NDRG1 T328A (phosphorylated mutation) and T328E (mimic phosphorylation) in vivo and in vitro confirmed that pNDRG1_T328 exacerbates hepatocyte injury along with DNA damage, inflammatory response, and apoptosis, thereby contributing to hepatic stellate cells (HSCs) activation. In contrast, TAX can inhibit the above pathological abnormalities and block hepatocyte injury-triggered HSCs activation and fibrosis. Overall, TAX is a potent liver protection drug primarily targeting NDRG1 and inhibiting pNDRG1_T328 in hepatocytes.

To explore the feasibility of using UAV-LiDAR for measuring the leaf area index (LAI) of crop canopies, we employed UAV-LiDAR to scan sugarcane canopies during the tillering and elongation stages, acquiring canopy point cloud data. Subsequently, features such as average row height, projected row area, point cloud density at different canopy layers, and the ratios between these parameters were extracted. Three feature selection methods-partial least squares regression (PLSR), XGBoost feature importance (XGBoost-FI), and random forest-recursive feature elimination (RF-RFE)-were adopted to evaluate and identify the optimal input variables for modeling. With these selected variables, LAI inversion models were developed based on random forest (RF) and adaptive boosting (AdaBoost) algorithms, and their performance was assessed. Among the extracted features, the projected row area S_p and the total row point count C_total exhibited strong correlations with LAI, with correlation coefficients of 0.73 and 0.72, respectively. The AdaBoost-based LAI inversion model, using the projected row area S_p, average height H_avg, mid-layer point cloud density C_m, and total row point count C_total as input variables, achieved the best performance, with a coefficient of determination (R_v²) of 0.713 and a root mean square error (RMSE_v) of 0.25 on the validation set. This study provides an effective method for high-throughput acquisition of LAI in field crops, offering valuable scientific support for sugarcane field management and breeding efforts.
Plant Leaves/growth & development* ; Saccharum/growth & development* ; Algorithms ; Unmanned Aerial Devices ; Remote Sensing Technology/methods* ; Crops, Agricultural/growth & development*

Accurately obtaining the crop quantity and density is not only crucial for the demand-based input of water and fertilizer in the field but also vital for ensuring the yield and quality of crops. Aerial photography by unmanned aerial vehicles (UAVs) can quickly acquire the distribution image information of crops over a large area. However, the accurate recognition of a single type of dense targets is a huge challenge for most recognition algorithms. Taking banana seedlings as an example in this study, we captured the images of banana plantations by UAVs from high altitudes to explore an efficient recognition method for dense targets. We proposed a strategy of "cut-recognition-stitch" and constructed a counting method based on the improved Faster R-CNN algorithm. First, the images containing highly dense targets were cropped into a large number of image tiles according to different sizes (simulating different flight altitudes), and the Contrast Limited Adaptive Histogram Equalization (CLAHE) algorithm was adopted to improve the image quality. A banana seedling dataset containing 36 000 image tiles was constructed. Then, the Faster R-CNN network with optimized parameters was used to train the banana seedling recognition model. Finally, the recognition results were reversely stitched together, and a boundary deduplication algorithm was designed to correct the final counting results to reduce the repeated recognition caused by image cropping. The results show that the recognition accuracy of the Faster R-CNN with optimized parameters for banana image datasets of different sizes can reach up to 0.99 at most. The deduplication algorithm can reduce the average counting error for the original aerial images from 1.60% to 0.60%, and the average counting accuracy of banana seedlings reaches 99.4%. The proposed method effectively addresses the challenge of recognizing dense small objects in high-resolution aerial images, providing an efficient and reliable technical solution for intelligent crop density monitoring in precision agriculture.
Musa/growth & development* ; Crops, Agricultural/growth & development* ; Algorithms ; Neural Networks, Computer ; Unmanned Aerial Devices ; Seedlings/growth & development* ; Image Processing, Computer-Assisted/methods* ; Photography ; Agriculture/methods*

Objective To explore the effects of Qingshen Granules(QSG)on adenine-induced renal fibrosis in mice and in uric acid(UA)-stimulated NRK-49F cells and its mechanism for regulating exosomes,miR-330-3p and CREBBP.Methods A mouse model of adenine-induced renal fibrosis were treated daily with QSG at 8.0 g·kg-1·d-1 via gavage for 12 weeks.An adeno-associated virus vector was injected into the tail vein,and renal tissues of the mice were collected for analyzing exosomal marker proteins CD9,Hsp70,and TSG101 and expressions of Col-Ⅲ,α-SMA,FN,and E-cad using Western blotting and immunofluorescence and for observing pathological changes using HE and Masson staining.In the cell experiment,NRK-49F cells were stimulated with uric acid(400 μmol/L)followed by treatment with QSG-medicated serum from SD rats,and the changes in expressions of the exosomal markers and Col-Ⅲ,α-SMA,FN,and E-cad were analyzed.Dual luciferase reporter assay was employed to examine the targeting relationship between miR-330-3p and CREBBP,whose expressions were detected by RT-qPCR and Western blotting in treated NRK-49F cells.Results The mouse models of adenine-induced renal fibrosis showed significantly increased levels of CD9,Hsp70,and TSG101,which were decreased by treatment with QSG.The expressions of Col-Ⅲ,α-SMA,and FN increased and E-cad decreased in the mouse models but these changes were reversed by QSG treatment.QSG treatment obviously alleviated renal fibrosis in the mouse models.Intravenous injection of adeno-associated viral vector obviously inhibited miR-330-3p,increased CREBBP levels,and reduced fibrosis in the mouse models.Dual luciferase assay confirmed CREBBP as a target of miR-330-3p,which was consistent with the results of the cell experiments.Conclusion QSG inhibits renal fibrosis in mice by regulating the exosomes,reducing miR-330-3p levels,and increasing CREBBP expression.

Objective To explore the effects of Qingshen Granules(QSG)on adenine-induced renal fibrosis in mice and in uric acid(UA)-stimulated NRK-49F cells and its mechanism for regulating exosomes,miR-330-3p and CREBBP.Methods A mouse model of adenine-induced renal fibrosis were treated daily with QSG at 8.0 g·kg-1·d-1 via gavage for 12 weeks.An adeno-associated virus vector was injected into the tail vein,and renal tissues of the mice were collected for analyzing exosomal marker proteins CD9,Hsp70,and TSG101 and expressions of Col-Ⅲ,α-SMA,FN,and E-cad using Western blotting and immunofluorescence and for observing pathological changes using HE and Masson staining.In the cell experiment,NRK-49F cells were stimulated with uric acid(400 μmol/L)followed by treatment with QSG-medicated serum from SD rats,and the changes in expressions of the exosomal markers and Col-Ⅲ,α-SMA,FN,and E-cad were analyzed.Dual luciferase reporter assay was employed to examine the targeting relationship between miR-330-3p and CREBBP,whose expressions were detected by RT-qPCR and Western blotting in treated NRK-49F cells.Results The mouse models of adenine-induced renal fibrosis showed significantly increased levels of CD9,Hsp70,and TSG101,which were decreased by treatment with QSG.The expressions of Col-Ⅲ,α-SMA,and FN increased and E-cad decreased in the mouse models but these changes were reversed by QSG treatment.QSG treatment obviously alleviated renal fibrosis in the mouse models.Intravenous injection of adeno-associated viral vector obviously inhibited miR-330-3p,increased CREBBP levels,and reduced fibrosis in the mouse models.Dual luciferase assay confirmed CREBBP as a target of miR-330-3p,which was consistent with the results of the cell experiments.Conclusion QSG inhibits renal fibrosis in mice by regulating the exosomes,reducing miR-330-3p levels,and increasing CREBBP expression.

Cornus officinalis,a medicinal and edible plant known for its liver-nourishing properties,has shown promise in inhibiting the activation of hepatic stellate cells(HSCs),crucial indicators of hepatic fibrosis,especially when processed by high pressure wine steaming(HPWS).Herein,this study aims to investigate the regulatory effects of cornus officinalis,both in its raw and HPWS forms,on inflammation and apoptosis in liver fibrosis and their underlying mechanisms.In vivo liver fibrosis models were established by subcutaneous injection of CCl4,while in vitro HSCs were exposed to transforming growth factor-β(TGF-β).These findings demonstrated that cornus officinalis with HPWS conspicuously ameliorated his-topathological injury,reduced the release of proinflammatory factors,and decreased collagen deposition in CCl4-induced rats compared to its raw form.Utilizing ultra-high-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometer(UHPLC-QTOF-MS)combined with network analysis,we identified that the pharmacological effects of the changed components of cornus officinalis before and after HPWS,primarily centered on the adenosine phosphate(AMP)-activated protein kinase(AMPK)pathway.Of note,cornus officinalis activated AMPK and sirtuin 3(SIRT3),promoting the apoptosis of activated HSCs through the caspase cascade by regulating caspase3,caspase6 and caspase9.small interfering RNA(siRNA)experiments showed that cornus officinalis could regulate AMPK activity and its mediated-apoptosis through SIRT3.In conclusion,cornus officinalis exhibited the ability to reduce inflammation and apoptosis,with the SIRT3-AMPK signaling pathway identified as a potential mecha-nism underlying the synergistic effect of cornus officinalis with HPWS on anti-liver fibrosis.

Objective To optimize the screening methods for antiallergic activity of two Chinese medicines in vitro and compare the antiallergic activity of five medicine pairs in vitro.Methods The degranulation assay of RBL-2H3 cells was optimized,and the activity of the five drugs on inhibiting mast cell degranulation was compared by toluidine blue staining and the release of β-HEX and histamine(HIS).The hyaluronidase inhibition test was optimized to compare the hyaluronidase inhibition effect of five Chinese medicine pairs.Results In the experiment of degranulation of RBL-2H3 cells,5 medicine pairs could inhibit β-HEX release from model cells to different degrees(P<0.05),including Schizonepetae Herba-Saposhnicovia divaricata,Ephedrae Herba-Asarum,Saposhnicovia divaricata-Radix Angelicae dahuricae,Rhizoma Chuanxiong-Asarum.The β-HEX release rate in the supernatant of degranulated model cells was significantly increased(P<0.05)after coculture with Flos Magnoliae-Fructus Xanthii.All the five medicine pairs could reduce HIS release in the supernatant of degranulated model cells.In the hyaluronase inhibition rate test,the hyaluronase inhibition rate of each medicine pair was Rhizoma Chuanxion-Asarum>Saposhnicovia divaricate-Radix Angelicae dahuricae>Schizonepetae Herba-Saposhnicovia divaricate>Ephedrae Herba-Asarum,among which Rhizoma Chuanxiong-Asarum had the strongest anti-allergic activity.Conclusion The trend of antiallergic activity of different drugs obtained by the two methods is consistent in vitro,indicating that the two methods can be used for screening antiallergic activity in vitro.

Objective:To investigate the characteristics of cognitive frailty and its influencing factors in older patients with chronic heart failure.Methods:In this cross-sectional study, 300 older patients hospitalized for chronic heart failure in a tertiary hospital in Shandong Province between September 2021 and September 2022 were selected.A general information questionnaire, the mini-nutritional assessment scale-short form(MNA-SF), the athens insomnia scale(AIS), the ulca loneliness scale, the geriatric depression scale-5 item version(GDS-5), and the social support rating scale(SSRS)were used for assessment and influencing factors were identified by univariate and Logistic regression analysis.Results:Among 300 older patients with chronic heart failure, the prevalence of cognitive frailty was 75.3%(226 cases). Logistic regression analysis showed that age between 70-79 years( OR=0.543, 95% CI: 0.299-0.987), education level( OR=3.644, 95% CI: 1.780-7.461), weekly intellectual activity( OR=2.168, 95% CI: 1.082-4.334)and loneliness( OR=1.101, 95% CI: 1.032-1.175)were factors influencing cognitive frailty in older patients with chronic heart failure. Conclusions:The prevalence of cognitive frailty in older patients with chronic heart failure is high, and age, education level, weekly intellectual activity and loneliness are influencing factors, with education level having the greatest impact on older patients with chronic heart failure.