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.

Objective: To explore the longitudinal changes and related predictive factors of anxiety and intolerance of uncertainty (IU) among Chinese college students, so as to provide theoretical reference for promoting students mental health. Methods: Intolerance of Uncertainty Scale-short Form and the 7 item Generalized Anxiety Disorder Scale were administered among 5 683 students from 22 universities in Guangdong Province from September 10 to October 17, 2021 (T1, baseline survey), and from March 15 to April 22, 2023 (T2). Using paired sample t-test to analyze the changes in anxiety and IU among college students, a linear regression model was established to explore factors that can predict anxiety, IU and their changes during T1 and T2 periods. Results: During the T1 period, the average scores of anxiety and IU among college students were (3.26±3.46, 34.88±7.96), while during the T2 period, they were (4.41±4.16, 36.40±8.07). During the T2 period, the levels of anxiety and IU among college students were higher than those during the T1 period ( t=19.59, 13.67, P <0.01). The linear regression results showed that age ( B = -0.02 ), moderate ( B =-0.18) and poor ( B =-0.88) mental health status, as well as online browsing of Corona Virus Disease 2019 (COVID-19) epidemic (later called as epidemic) related information for >1-<3 hours ( B =-0.30) and ≥3 hours ( B =-0.22), all of which could negatively predict changes in anxiety during T1 to T2 periods. Living in rural areas ( B =0.11) could positively predict changes in anxiety during T1 to T2 periods ( P <0.05). Moderate ( B =-0.19) and poor ( B =-0.47) mental health status, browsing epidemic related information online for >1-<3 hours ( B =-0.32) and ≥3 hours ( B =-0.33), academic performance being moderately affected by the epidemic ( B =-0.10), and personal planning being moderately affected by the epidemic ( B =-0.13) and severely affected ( B =-0.22), all of which could negatively predict changes in IU during T1 to T2 periods ( P <0.05). Conclusions Levels of anxiety and intolerance of uncertainty increases significantly after epidemic. Mental health status of college students should need long term monitoring, and students with poor mental health should need special attention.

In recent years, biological agents have played a positive role in the treatment of psoriasis, especially severe, refractory and special subtypes of psoriasis. However, their safety has attracted increasing attention, especially the risk of tuberculosis infection. This review summarizes the effect of biological agents with different targets on tuberculosis infection and relevant mechanisms, aiming to provide a theoretical basis for psoriasis patients to choose appropriate biotherapy.

Objective To analyze the identification, drug resistance and clinical significance of a rare bacterium of Bordetella holmesii ( B. holmesii) to improve its detection and clinical diagnosis and treat-ment. Methods A strain isolated from a bacteremia case was identified by bacterial culture, biochemical tests and 16S rRNA gene sequencing. Mega 7. 0 software was used to conduct a similarity analysis of 16S rRNA gene sequences between the type strains of Bordetella spp. and the isolate, and then a phylogenetic tree was constructed. Antibiotic resistance of the isolate was determined by E-test. Changes in bacterial growth were measured after adding different concentrations of riboflavin or its inhibitor lumiflavin to the cul-ture medium. Results B. holmesii ABD2 was the pathogen causing bacteremia in the immunocompetent pa-tient. It was deposited under the number of CGMCC 1. 13721 in China General Microbiological Culture Col-lection Center (CGMCC), and the 16S rRNA gene sequences were deposited in National Center for Biotech-nology Information ( NCBI) with the accession number of KT828544. 1. Unrooted tree showed that the B. holmesii strain was highly homologous with B. pertussis. Antibiotic susceptibility test showed that the mini-mum inhibitory concentrations ( MIC) of piperacillin, ceftazidime, cefepime, imipenem, meropenem, cipro-floxacin, levofloxacin, gentamicin, amikacin, erythromycin, tetracycline and polymyxin B against the isolate were low, while the MIC values of cefazolin, cefuroxime, cefoxitin, cefotaxime, aztreonam and trime-thoprim-sulfamethoxazole were high. Riboflavin accelerated the growth of B. holmesii ABD2, while its inhibi-tor lumiflavin had an inhibitory effect. Conclusions As B. holmesii is hard to isolate and identify, limited clinical, microbiological and epidemiological data are available. It is an under-recognized pathogen with a considerable amount of information that remains to be studied.

Objective To study water-soluble constituents of Dioscorea zingiberensis in order to seek active components. Methods Various chromatographic techniques were used to isolate the constituents. Structures of compounds were elucidated by spectroscopic analyses of 1H-NMR, 13C-NMR, 135DEPT, HMQC, HMBC, and TOCSY. Results One new steroidal saponin was isolated and identified as 26-O-(?-D-glucopyranosyl)-(25R)-furost-5-en-3?, 26-diol-22-OMe-3-O-｛?-L-rhamnopyranosyl-(1→4)-[?-D-glucopyranosl-(1→3)-?-D-glucopyranosl-(1→2)]-?-D-glucopyranoside｝. Conclusion The compound is a novel compound named as zingierenin E. The other two compounds are reported for the first time from D. zingiberensis.