Acute lung injury (ALI) has been a kind of acute and severe disease that is mainly characterized by systemic uncontrolled inflammatory response to the production of huge amounts of reactive oxygen species (ROS) in the lung tissue. Given the critical role of ROS in ALI, a Fe₃O₄ loaded bovine serum albumin (BSA) nanocluster (BF) was developed to act as a nanomedicine for the treatment of ALI. Combining with NIR irradiation, it exhibited excellent ROS scavenging capacity. Significantly, it also displayed the excellent antioxidant and anti-inflammatory functions for lipopolysaccharides (LPS) induced macrophages (RAW264.7), and Sprague Dawley rats via lowering intracellular ROS levels, reducing inflammatory factors expression levels, inducing macrophage M2 polarization, inhibiting NF-κB signaling pathway, increasing CD4⁺/CD8⁺ T cell ratios, as well as upregulating HSP70 and CD31 expression levels to reprogram redox homeostasis, reduce systemic inflammation, activate immunoregulation, and accelerate lung tissue repair, finally achieving the synergistic enhancement of ALI immunotherapy. It finally provides an effective therapeutic strategy of BF + NIR for the management of inflammation related diseases.

Objective:To analyze the trends of preterm birth among women of advanced maternal age in Haidian District, Beijing from 2013 to 2022.Methods:A retrospective analysis was conducted on the birth registration data in Haidian District, Beijing, from January 2013 to December 2022, focusing on the records of women aged ≥35 who delivered between 22 and 44 weeks of gestation. The Joinpoint regression model was used to analyze the time trends of preterm birth rates among women of advanced maternal age in the Haidian District. Interrupted time series (ITS) analysis was applied to quantitatively evaluate the transient and long-term effects of China's universal two-child policy on the preterm birth rate among women of advanced maternal age.Results:(1) A total of 70 640 birth registration records from 68 587 women were finally included. The number of women giving birth peaked between 2016 and 2018 (8 158, 9 906, and 8 914 cases, respectively). The proportion of permanent residents in Beijing gradually decreased from 53.7% (2 175/4 049) in 2013 to 42.0% (4 160/9 906) in 2017 and then increased to over 98% between 2019 and 2022 [98.8% (7 828/7 925), 99.1% (6 283/6 340), 99.3% (5 970/6 014), and 99.5% (6 371/6 404), respectively]. (2) Among the 68 587 women, 57 339 (83.6%) were delivered at tertiary hospitals, and 35 496 (51.8%) were delivered by cesarean section. The proportion of multiple births increased slowly from 2.4% (236/9 906) in 2017 to 3.5% (225/6 404) in 2022. From 2013 to 2015, primiparous women accounted for the majority. Subsequently, the proportion of multiparous women increased annually, reaching 71.6% (6 385/8 914) in 2018 before gradually decreasing to 56.2% (3 600/6 404) in 2022. (3) A total of 70 640 live births were delivered. The highest number of deliveries was in 2017, with 10 139 cases. From 2013 to 2022, 36 995 male infants and 33 645 female infants were born, with preterm birth rates of 10.6% (3 914/36 995) and 9.4% (3 123/33 645), respectively. (4) Among the 70 640 infants, there were 124 extremely preterm infants (0.2%), 773 very preterm infants (1.1%), and 6 140 late preterm infants (8.7%), accounting for 1.8%, 11.0%, and 87.3% of all preterm infants (7 037 cases), respectively. (5) The optimal fitting results of Joinpoint regression indicated that the preterm birth rate showed a declining trend from 2013 to 2017 ( APC=－4.4%, 95% CI: -13.0% to -0.2%); with 2017 as the turning point, the preterm birth rate exhibited an upward trend from 2017 to 2022 ( APC=4.5%, 95% CI: 1.6% to 13.0%). (6) The results of ITS analysis revealed that the preterm birth rate instantly decreased by 0.79% ( β2=－0.79, P=0.026) in the month when the universal two-child policy took effect. In comparison, it increased by an average of 0.03% per month ( β3=0.07, P=0.001) after the implementation of the policy. After adjusting for the proportion of multiple births, the preterm birth rate significantly decreased before the policy took effect ( β1=－0.06, P=0.003), but increased by an average of 0.01% per month ( β3=0.07, P<0.001) after the policy took effect. There was no statistical significance in the transient impact of the policy on the preterm birth rate in this district ( β2=0.80, P=0.145). Conclusions:From 2013 to 2022, the preterm birth rates among women of advanced maternal age in Haidian District exhibit a "V"-shaped pattern with the implementation of the two-child policy as the turning point. It is necessary to continue strengthening maternal health care for women of advanced maternal age and ensure the targeted provision of related services to address the issue of increased preterm birth rates following the enforcement of the two-child policy.

Objective:To analyze the trends of preterm birth among women of advanced maternal age in Haidian District, Beijing from 2013 to 2022.Methods:A retrospective analysis was conducted on the birth registration data in Haidian District, Beijing, from January 2013 to December 2022, focusing on the records of women aged ≥35 who delivered between 22 and 44 weeks of gestation. The Joinpoint regression model was used to analyze the time trends of preterm birth rates among women of advanced maternal age in the Haidian District. Interrupted time series (ITS) analysis was applied to quantitatively evaluate the transient and long-term effects of China's universal two-child policy on the preterm birth rate among women of advanced maternal age.Results:(1) A total of 70 640 birth registration records from 68 587 women were finally included. The number of women giving birth peaked between 2016 and 2018 (8 158, 9 906, and 8 914 cases, respectively). The proportion of permanent residents in Beijing gradually decreased from 53.7% (2 175/4 049) in 2013 to 42.0% (4 160/9 906) in 2017 and then increased to over 98% between 2019 and 2022 [98.8% (7 828/7 925), 99.1% (6 283/6 340), 99.3% (5 970/6 014), and 99.5% (6 371/6 404), respectively]. (2) Among the 68 587 women, 57 339 (83.6%) were delivered at tertiary hospitals, and 35 496 (51.8%) were delivered by cesarean section. The proportion of multiple births increased slowly from 2.4% (236/9 906) in 2017 to 3.5% (225/6 404) in 2022. From 2013 to 2015, primiparous women accounted for the majority. Subsequently, the proportion of multiparous women increased annually, reaching 71.6% (6 385/8 914) in 2018 before gradually decreasing to 56.2% (3 600/6 404) in 2022. (3) A total of 70 640 live births were delivered. The highest number of deliveries was in 2017, with 10 139 cases. From 2013 to 2022, 36 995 male infants and 33 645 female infants were born, with preterm birth rates of 10.6% (3 914/36 995) and 9.4% (3 123/33 645), respectively. (4) Among the 70 640 infants, there were 124 extremely preterm infants (0.2%), 773 very preterm infants (1.1%), and 6 140 late preterm infants (8.7%), accounting for 1.8%, 11.0%, and 87.3% of all preterm infants (7 037 cases), respectively. (5) The optimal fitting results of Joinpoint regression indicated that the preterm birth rate showed a declining trend from 2013 to 2017 ( APC=－4.4%, 95% CI: -13.0% to -0.2%); with 2017 as the turning point, the preterm birth rate exhibited an upward trend from 2017 to 2022 ( APC=4.5%, 95% CI: 1.6% to 13.0%). (6) The results of ITS analysis revealed that the preterm birth rate instantly decreased by 0.79% ( β2=－0.79, P=0.026) in the month when the universal two-child policy took effect. In comparison, it increased by an average of 0.03% per month ( β3=0.07, P=0.001) after the implementation of the policy. After adjusting for the proportion of multiple births, the preterm birth rate significantly decreased before the policy took effect ( β1=－0.06, P=0.003), but increased by an average of 0.01% per month ( β3=0.07, P<0.001) after the policy took effect. There was no statistical significance in the transient impact of the policy on the preterm birth rate in this district ( β2=0.80, P=0.145). Conclusions:From 2013 to 2022, the preterm birth rates among women of advanced maternal age in Haidian District exhibit a "V"-shaped pattern with the implementation of the two-child policy as the turning point. It is necessary to continue strengthening maternal health care for women of advanced maternal age and ensure the targeted provision of related services to address the issue of increased preterm birth rates following the enforcement of the two-child policy.

This study was aimed to analyze the formulas and classify the treatment of chronic kidney disease (CKD) by Dr. Huang Chunlin based on the data mining method. A total of 63 CKD outpatients' medical records by Dr. Huang were collected. And 226 formulas prescribed in the medical records were put in the Traditional Chinese Medicine Inheritance Support System (TCMISS). Data mining techniques were applied in the study of as-sociation rule mining algorithm and complex system entropy cluster, the usage frequency and the correlation of each single Chinese medicinal in order to sort out the prescription pattern of CKD. The results showed that to for-tify the spleen and tonify the kidney were found to be the basic method of CKD treatment . Through the applica-tion of TCMISS, the Chinese medicinals used in Dr. Huang's CKD treatment were Astragalus root, Eucommia, Epimedium, Cuscuta, Agastache, Danshen Root, Ligustrum. It was concluded that the TCMISS is of great value in the summarization of clinical experiences of well-known TCM doctors.