Objective To conduct a comprehensive review of the risk factors for post-transplant pulmonary infection in kidney transplant recipients. Methods Following the methodology guidelines for systematic reviews, the research question was clearly defined. Systematic searches were conducted in both Chinese and English literature databases, with the search period ranging from the establishment of the database to May 1, 2025. Two researchers independently screened and extracted the risk factors related to post-transplant pulmonary infection in kidney transplant recipients, and the research results were qualitatively described. Results A total of 45 articles were finally included, involving 30 risk factors for post-transplant pulmonary infection in kidney transplant recipients, including five aspects as donor factors, recipient factors, disease factors, treatment factors and laboratory test result factors. Conclusions The occurrence of post-transplant pulmonary infection in kidney transplant recipients is related to donor factors, recipient factors, disease factors, treatment factors and laboratory test result factors, providing a reference for clinical prevention, screening, and intervention.

Objective To explore the association between dynamic indexes of maternal progesterone in early pregnancy and the average level and growth rate of fetal head circumference(HC)in mid-and late pregnancy.Methods This study adopted a retrospective cohort design and included 255 singleton pregnant women in the maternal and infant cohort of The First Affiliated Hospital of Xi'an Jiaotong University from January 2015 to December 2024.The progesterone levels of their early venous blood were detected and divided into two groups of progesterone trajectories,namely,fluctuating type and increasing type,by morphology.The dynamic indicators of progesterone in early pregnancy were constructed:cumulative dynamic deviation index in the first trimester(CDDI-P1T),gestational age at progesterone peak(GA-PP),and maximal relative progesterone decline in the first trimester(MRD-P1T).The average head circumference level and linear growth rate of the fetuses in the middle and late pregnancy were calculated.Generalized linear regression(GLM)was used to analyze the linear association between progesterone dynamic indicators and head circumference development.The key gestational weeks of progesterone affecting fetal head development were explored by linear regression of gestational weeks.Ordinary least squares(OLS)regression and restricted cubic spline(RCS)plots were used to draw the nonlinear association between progesterone dynamic indicators and head circumference.Results Among the 255 pregnant women included,92.5％of the progesterone trajectories in early pregnancy were fluctuating,and 7.5％were increasing.The growth rates of the increasing progesterone trajectory group were higher in the second and third trimesters than in the fluctuating group,but the differences were not statistically significant(all P＞0.05).GLM analysis showed that for every 1 unit increase in CDDI-P1T,the head circumference in the middle and late pregnancy increased significantly by 1.574 cm and 1.193 cm(Z=3.714,2.885,P＜0.01).The delay of GA-PP was negatively correlated with the head circumference in the middle pregnancy(β=-0.190 cm,95％CI:-0.339--0.041,P=0.010)but positively correlated with the head circumference growth rate in the late pregnancy(β=0.022 cm/week,95％CI:0.003-0.041,P=0.025).A 10％decrease in the decline of CDDI-P1T increased the head circumference in the middle pregnancy by 0.200 cm(95％CI:0.016-0.384,P=0.033),and a 100％decrease in the decline increased the head circumference growth rate in the late pregnancy by 0.201 cm/week(95％CI:0.002-0.399,P=0.048).The analysis of the key time window showed that for every 20 nmol/L increase in progesterone during 9.5-13 weeks of pregnancy,the mid-term head circumference increased by 0.035-0.166 cm(Z=2.452-3.517,allP＜0.05),and the late-term head circumference increased by 0.767 cm during 9-13 weeks of pregnancy(Z=2.452-3.517,all P＜0.05).When progesterone increased during 9.5-10.5 weeks of pregnancy,the growth rate of mid-term head circumference increased by 0.013-0.023 cm/week(Z=2.074-2.243,all P＜0.01).When progesterone increased during 8.5-10.5 weeks of pregnancy,the growth rate of late-term head circumference increased by 0.010-0.026 cm/week(Z=2.061-3.137,all P＜0.05).Conclusion Progesterone dynamic index is a new sensitive tool for evaluating fetal head circumference development.There is a stage-specific window period for progesterone regulation.9.5-13 weeks of pregnancy is the critical period for progesterone to affect head circumference growth,and 9.5-10.5 weeks of pregnancy is the core window for regulating the growth rate of head circumference.Therefore,it is necessary to combine progesterone dynamic index and time window for individualized intervention to promote the transformation of prenatal care from pregnancy maintenance to eugenics intervention.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder that seriously affects the health of the elderly, and the early diagnosis is crucial to slow down the progression of the disease. This review systematically examines the integrative applications of multimodal digital technologies in early AD identification, encompassing cognitive assessment, neuroimaging analysis, biomarker detection, and polygenic risk prediction, with the goal of enhancing diagnostic accuracy and operational efficiency. It was found that artificial intelligence-driven digital tools significantly improved screening efficiency by capturing subtle behavioral patterns and physiological signatures. Machine learning algorithms integrated with multimodal neuroimaging data optimize sensitivity in detecting structural brain abnormalities, while combinatorial analysis of digital biomarkers enables high-precision staging of AD pathology. Recent advancements highlight the critical role of digital technologies in facilitating multimodal biomarker integration and streamlining diagnostic workflows. The convergence of these innovative approaches provides a robust framework for early AD screening, offering patients accessible and efficient diagnostic pathways.

Coronavirus disease 2019(COVID-19)is an infectious disease caused by severe acute respiratory syn-drome coronavirus 2(SARS-CoV-2).SARS-CoV-2 has demonstrated neurotropic and neuroinvasive properties.SARS-CoV-2-infection-associated encephalitis is defined as encephalitis occurring within 6 weeks after acute SARS-CoV-2 infection.Recognizing SARS-CoV-2-infection-associated encephalitis remains clinically chal-lenging in the absence of clear etiological evidence,and SARS-CoV-2-infection-associated encephalitis also has u-nique pathophysiological mechanisms.This article reviews the clinical symptoms,cerebrospinal fluid characteris-tics,electroencephalogram,imaging manifestations,treatment and prognosis of patients with SARS-CoV-2-infec-tion-associated encephalitis,as well as the advances in the pathophysiological mechanisms underlying SARS-CoV-2-induced encephalitis,in order to improve the recognition of SARS-CoV-2-infection-associated encephalitis and fa-cilitate timely and effective treatment.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder that seriously affects the health of the elderly, and the early diagnosis is crucial to slow down the progression of the disease. This review systematically examines the integrative applications of multimodal digital technologies in early AD identification, encompassing cognitive assessment, neuroimaging analysis, biomarker detection, and polygenic risk prediction, with the goal of enhancing diagnostic accuracy and operational efficiency. It was found that artificial intelligence-driven digital tools significantly improved screening efficiency by capturing subtle behavioral patterns and physiological signatures. Machine learning algorithms integrated with multimodal neuroimaging data optimize sensitivity in detecting structural brain abnormalities, while combinatorial analysis of digital biomarkers enables high-precision staging of AD pathology. Recent advancements highlight the critical role of digital technologies in facilitating multimodal biomarker integration and streamlining diagnostic workflows. The convergence of these innovative approaches provides a robust framework for early AD screening, offering patients accessible and efficient diagnostic pathways.

To establish a rapid Akabane virus(AKAV)antibody detection method in animals,the re-combination AKAV N protein was expressed by the expression system of Escherichia coli,puri-fied from the supernatant,and used to immunized New Zealand White rabbits.The polyclonal anti-body against AKAV N protein had a titer of 1∶8.192×107 and showed good reactivity.After opti-mizing the reaction conditions,an AKAV double antigen sandwich ELISA antibody detection method was established.This method can detect AKAV antibody in a variety of animals including cattles,sheep and goats.The method had no cross-reactivity with the positive serum of BTV,EHDV,BEV and PRV with the intra-and inter-batch coefficients of variation less than 10％.Com-pared with the AKAV blocking ELISA kit,the sensibility of the method was increased by 8-16 folds with a compliance rate of 93.33％and the κ value of 0.864.These results showed that the double antigen sandwich ELISA displayed strong specificity,high sensitivity and repeatability,which could provide technical suport for detection,the prevention and control of AKAV.

Objective:To investigate the relation between temporal expression changes of proline-rich transmembrane protein 2 ( PRRT2) gene and clinical progression of PRRT2-related paroxysmal disorders (PRPDs). Methods:A retrospective analysis was performed; 19 patients with PRPDs admitted to Department of Neurology, Second Affiliated Hospital of Guangzhou Medical University from July 2021 to July 2024 were enrolled; their clinical data, including onset age and disease progression, were collected. Using Bgee database, the PRRT2 gene expressions in different age groups were analyzed to explore their relations with clinical progression. Results:Among the 19 patients, 8 were diagnosed as having infantile convulsion with choreoathetosis (ICCA), 1 patient as having infantile convulsion, and 10 as having paroxysmal kinesigenic dyskinesia (PKD). Among patients with ICCA, the disease course was divided into two stages: in infantile period, it manifested as infantile convulsions at the onset, with an onset age of (5.75±1.03) months, ranged 4-7 months; in early childhood, no seizures were noted, enjoying a silent period and lasting for a period ranged 7-15 years; subsequently, the disease relapsed during adolescent, presenting as dyskinesia, with an onset age of (11.75±3.11) years, ranged 8-16 years. Among patients with PKD, onset age was (10.40±3.17) years, ranged 5-17 years. PRRT2 expression peaked before 1 year old, declined to the lowest level at 10 years old, and then gradually increased, reaching a second peak at 17 years old; PRRT2 expression demonstrated bimodal peaks during early childhood and adolescence. Conclusion:PRPDs progression shows a certain consistency with the temporal change of PRRT2 gene expression.

To establish a rapid Akabane virus(AKAV)antibody detection method in animals,the re-combination AKAV N protein was expressed by the expression system of Escherichia coli,puri-fied from the supernatant,and used to immunized New Zealand White rabbits.The polyclonal anti-body against AKAV N protein had a titer of 1∶8.192×107 and showed good reactivity.After opti-mizing the reaction conditions,an AKAV double antigen sandwich ELISA antibody detection method was established.This method can detect AKAV antibody in a variety of animals including cattles,sheep and goats.The method had no cross-reactivity with the positive serum of BTV,EHDV,BEV and PRV with the intra-and inter-batch coefficients of variation less than 10％.Com-pared with the AKAV blocking ELISA kit,the sensibility of the method was increased by 8-16 folds with a compliance rate of 93.33％and the κ value of 0.864.These results showed that the double antigen sandwich ELISA displayed strong specificity,high sensitivity and repeatability,which could provide technical suport for detection,the prevention and control of AKAV.

Objective:To understand the etiological surveillance and drug resistance characteristics of Legionella pneumophila (LP) from the aqueous environment of public places in Shanghai, from 2011 to 2020, and provide evidence for surveillance of the disease. Methods:Environmental water samples were systematically collected from public venues in urban and suburban districts of Shanghai for LP surveillance. All the identified LP isolates underwent a series of testings including serotyping, pulsed field gel electrophoresis (PFGE), sequence-based typing, and antimicrobial susceptibility testing. χ2 test or Cochran-Armitage trend tests were used for statistical analysis and for temporal resistance patterns. Results:Among 6 263 water samples, the LP-positive rate was 20.93% (1 311/6 263). The positivity rate decreased from 24.98% (287/1 149) in 2011-2012 to 20.02% (1 024/5 114) in 2013-2020 ( χ2=13.92, P<0.001), with the highest monthly positivity observed from June to August (23.79%, 745/3 132). A total of 1 365 LP strains were isolated, of which 912 were further characterized, including 10 serotypes, 149 PFGE patterns, and 33 sequence types (ST). The predominant serotype was Lp1 (86.84%, 792/912), and the dominant ST was ST752 (29.50%, 269/912). ST clustering revealed two major clonal groups CG1 and CG2, accounting for 91.12% (831/912) of the isolates. The 190 LPs involved in the drug sensitivity test showed three resistance profiles: azithromycin resistance (31.05%, 59/190), ciprofloxacin resistance (0.53%, 1/190) and azithromycin+ciprofloxacin resistance (0.53%, 1/190). Azithromycin-resistant strains were predominantly ST1 (64.41%, 38/59). The antimicrobial resistance rate showed a significant decline, from 48.65% (18/37) in 2011-2012 to 28.10% (43/153) in 2013-2020 ( χ2=9.38, P=0.002). Conclusions:Compared to from 2011 to 2012, both the positivity rate and antimicrobial resistance prevalence of LP in public aqueous environments of Shanghai exhibited an overall decline from 2013 to 2020. The predominant types of LP were serotype Lp1 and sequence type ST752, with notable high-level resistance to azithromycin. Measures as enhancing the enforcement of water safety regulations and prioritizing surveillance of azithromycin resistance in LP were recommended to mitigate public health risks.

Objective To explore the association between dynamic indexes of maternal progesterone in early pregnancy and the average level and growth rate of fetal head circumference(HC)in mid-and late pregnancy.Methods This study adopted a retrospective cohort design and included 255 singleton pregnant women in the maternal and infant cohort of The First Affiliated Hospital of Xi'an Jiaotong University from January 2015 to December 2024.The progesterone levels of their early venous blood were detected and divided into two groups of progesterone trajectories,namely,fluctuating type and increasing type,by morphology.The dynamic indicators of progesterone in early pregnancy were constructed:cumulative dynamic deviation index in the first trimester(CDDI-P1T),gestational age at progesterone peak(GA-PP),and maximal relative progesterone decline in the first trimester(MRD-P1T).The average head circumference level and linear growth rate of the fetuses in the middle and late pregnancy were calculated.Generalized linear regression(GLM)was used to analyze the linear association between progesterone dynamic indicators and head circumference development.The key gestational weeks of progesterone affecting fetal head development were explored by linear regression of gestational weeks.Ordinary least squares(OLS)regression and restricted cubic spline(RCS)plots were used to draw the nonlinear association between progesterone dynamic indicators and head circumference.Results Among the 255 pregnant women included,92.5％of the progesterone trajectories in early pregnancy were fluctuating,and 7.5％were increasing.The growth rates of the increasing progesterone trajectory group were higher in the second and third trimesters than in the fluctuating group,but the differences were not statistically significant(all P＞0.05).GLM analysis showed that for every 1 unit increase in CDDI-P1T,the head circumference in the middle and late pregnancy increased significantly by 1.574 cm and 1.193 cm(Z=3.714,2.885,P＜0.01).The delay of GA-PP was negatively correlated with the head circumference in the middle pregnancy(β=-0.190 cm,95％CI:-0.339--0.041,P=0.010)but positively correlated with the head circumference growth rate in the late pregnancy(β=0.022 cm/week,95％CI:0.003-0.041,P=0.025).A 10％decrease in the decline of CDDI-P1T increased the head circumference in the middle pregnancy by 0.200 cm(95％CI:0.016-0.384,P=0.033),and a 100％decrease in the decline increased the head circumference growth rate in the late pregnancy by 0.201 cm/week(95％CI:0.002-0.399,P=0.048).The analysis of the key time window showed that for every 20 nmol/L increase in progesterone during 9.5-13 weeks of pregnancy,the mid-term head circumference increased by 0.035-0.166 cm(Z=2.452-3.517,allP＜0.05),and the late-term head circumference increased by 0.767 cm during 9-13 weeks of pregnancy(Z=2.452-3.517,all P＜0.05).When progesterone increased during 9.5-10.5 weeks of pregnancy,the growth rate of mid-term head circumference increased by 0.013-0.023 cm/week(Z=2.074-2.243,all P＜0.01).When progesterone increased during 8.5-10.5 weeks of pregnancy,the growth rate of late-term head circumference increased by 0.010-0.026 cm/week(Z=2.061-3.137,all P＜0.05).Conclusion Progesterone dynamic index is a new sensitive tool for evaluating fetal head circumference development.There is a stage-specific window period for progesterone regulation.9.5-13 weeks of pregnancy is the critical period for progesterone to affect head circumference growth,and 9.5-10.5 weeks of pregnancy is the core window for regulating the growth rate of head circumference.Therefore,it is necessary to combine progesterone dynamic index and time window for individualized intervention to promote the transformation of prenatal care from pregnancy maintenance to eugenics intervention.