UNASSIGNED: We determined the distribution of constitutional types of high-normal blood pressure in Traditional Chinese Medicine (TCM) and provided evidence for the prevention of high-normal blood pressure and hypertension.
UNASSIGNED: Eight digital databases were searched from January 2011 to November 2022, including PubMed, EMBASE, Web of Science, EBSCOhost, CNKI, CBM, Wangfang, and CQVIP. We performed a meta-analysis with the random-effects model or fixed-effects model to describe the distribution of constitutional types of high-normal blood pressure in TCM. The studies were assessed based on heterogeneity testing and the potential for publication bias. The meta-analysis was performed on Stata software 15.0.
UNASSIGNED: A total of 17 studies with 8118 participants were included in this meta-analysis. The proportion of the biased constitution (82.3%; 95% CI: 75.6%-89.1%, p < 0.001) was higher than the balanced constitution (17.3%; 95% CI: 10.7-23.8%, p < 0.001). Phlegm-dampness constitution, Yin-deficiency constitution, and damp-heat constitution accounted for 16.0% (95%CI: 10.5-21.5%, p < 0.001), 14.8% (95% CI: 11.0-18.6%, p < 0.001), 11.3% (95% CI: 8.0-14.5%, p < 0.001) of the total high-normal blood pressure cases, respectively. The subgroup analyses performed that region, age and gender were positively associated with the distribution of constitution types of high-normal blood pressure in TCM. Compared with the general population, the risk of high-normal blood pressure in people with the phlegm-dampness constitution, Yin-deficiency constitution, and blood-stasis constitution was 2.665 (95%CI: 2.286-3.106, p < 0.001), 2.378 (95%CI: 1.197-4.724, p = 0.013), 1.965 (95%CI: 1.634-2.363, p < 0.001) times of the general population, respectively. Meanwhile, the risk of high-normal blood pressure was lower in people with a balanced constitution (0.248, 95%CI: 0.165-0.372, p < 0.001).
UNASSIGNED: Phlegm-dampness constitution, Yin-deficiency constitution, and damp-heat constitution were the common constitution types of high-normal blood pressure. There might also be differences in the distribution characteristics of TCM constitution among people with high-normal blood pressure in different regions, ages, and genders. Finally, a balanced constitution might be a protective factor for hypertensive people.

UNASSIGNED: /Objective: Flooding risk is a global issue, and various approaches have been established to prevent flooding risk around the world. China is one of the heavily flood-affected countries and has been implementing the Sponge City program since 2015 to defend against flooding. Unfortunately, flooding has been common in China in recent years, causing severe health risks to citizens. This research mainly focuses on (a) evaluating the implementation of China\'s Sponge City program and the associated impacts on human health and (b) exploring the future improvement of the Sponge City program in China.
UNASSIGNED: The Interpretive Document Approach was used to explore an inclusive review of the Sponge City program and its implications on human health.
UNASSIGNED: /Findings: The Sponge City program in China is still insufficient to prevent flooding risks effectively. In the past eight years, 24/34 provinces have recorded flooding, which caused a total of 4701 deaths and over 525.5 billion RMB (around 72.9 billion US$) in economic loss. Till now, only 64/654 cities have promulgated local legislation to manage sponge city construction, although the Sponge City was implemented in 2015. Besides, the completed Sponge City program constructions cannot fully prevent flooding risks, the flood prevention capacity is limited. The Sponge City program is not granted priority, lacking national legislation hinders Sponge City program implementation in China.
UNASSIGNED: China needs to make national legislation on the Sponge City program and update the Sponge City program technology guidelines. Local governments should implement Sponge City construction according to local geographic environments.

The use of herbs to treat various human diseases has been recorded for thousands of years. In Asia\'s current medical system, numerous herbal formulas have been repeatedly verified to confirm their effectiveness in different periods, which is a great resource for drug innovation and discovery. Through the mining of these clinical effective formulas by network pharmacology and bioinformatics analysis, important biologically active ingredients derived from these natural products might be discovered. As modern medicine requires a combination of multiple drugs for the treatment of complex diseases, previously clinical formulas are also combinations of various herbs according to the main causes and accompanying symptoms. However, the herbs that play a major role in the treatment of diseases are always unclear. Therefore, how to rank each herb\'s relative importance and determine the core herbs, is the first step to assisting herb selection for active ingredients discovery. To solve this problem, we built the platform FangNet, which ranks all herbs on their relative topological importance using the PageRank algorithm, based on the constructed symptom-herb network from a collection of clinical empirical prescriptions. Three types of herb hidden knowledge, including herb importance rank, herb-herb co-occurrence, and associations to symptoms, were provided in an interactive visualization. Moreover, FangNet has designed role-based permission for teams to store, analyze, and jointly interpret their clinical formulas, in an easy and secure collaboration environment, aiming at creating a central hub for massive symptom-herb connections. FangNet can be accessed at http://fangnet.org or http://fangnet.herb.ac.cn.

Clinical studies have shown that renal injury in Corona Virus Disease 2019 (COVID-19) patients has been a real concern, which is associated with high mortality and an inflammation/apoptosis-related causality. Effective target therapy for renal injury has yet been developed. Besides, potential anti-COVID-19 medicines have also been reported to cause adverse side effects to kidney. Chinese Herbal Medicine (CHM), however, has rich experience in treating renal injury and has successfully applied in China in the battle of COVID-19. Nevertheless, the molecular mechanisms of CHM treatment are still unclear. In this study, we searched prescriptions in the treatment of renal injury extensively and the potential mechanisms to treat COVID-19 related renal injury were investigated. The association rules analysis showed that the core herbs includes Huang Qi, Fu Ling, Bai Zhu, Di Huang, Shan Yao. TCM herbs regulate core pathways, such as AGE-RAGE, PI3K-AKT, TNF and apoptosis pathway, etc. The ingredients (quercetin, formononetin, kaempferol, etc.,) from core herbs could modulate targets (PTGS2 (COX2), PTGS1 (COX1), IL6, CASP3, NOS2, and TNF, etc.), and thereby prevent the pharmacological and non-pharmacological renal injury comparable to that from COVID-19 infection. This study provides therapeutic potentials of CHM to combat COVID-19 related renal injury to reduce complications and mortality.

Many studies have accessed the association between eNOS-4b/a polymorphism and the risk of diabetic nephropathy (DN) among type 2 diabetic subjects. However, the results are conflicting and inconclusive. The aim of current meta-analysis was to more precisely estimate the relationship. Pubmed, Embase, the China National Knowledge Infrastructure and the Wanfang Database were searched for articles published up to May 26th, 2013 that addressed eNOS-4b/a polymorphism and the risk of DN among type 2 diabetic subjects. 18 studies were included in this meta-analysis. eNOS-4b/a polymorphisms were associated with an overall significantly increased risk of DN (allele model: OR = 1.44, 95% CI = 1.14-1.82; additive model: OR = 2.03, 95% CI = 1.14-3.62; dominant model: OR = 1.34, 95% CI = 1.07-1.68; recessive model: OR = 2.01, 95% CI = 1.12-3.61). Subgroup analysis revealed a significant association between the eNOS-4b/a polymorphism and DN in Asian population, especially in Chinese population, but not in non Asian populations. Our meta-analysis supported an association between the 4b/a polymorphism of eNOS gene and increased risk of DN in type 2 diabetes among Asians, especially in Chinese population.