基于真实世界数据探讨中医药治疗糖尿病肾病用药规律的研究＊

目的 基于临床信息系统分析总结真实世界的数据，采用数据挖掘的方法探讨中医药治疗糖尿病肾病的用药规律。方法 收集2018年1月-2020年12月上海中医药大学附属曙光医院宝山分院健康信息系统确诊的糖尿病肾病的门诊或住院患者的诊疗信息，建立Excel数据库，采用Excel 2010软件统计高频药物的四气、五味、归经及功效；使用SPSS Modeler 18.0软件中的Apriori算法分析关联规则，采用web节点建构药对关联网状图；运用SPSS 25统计软件进行因子分析。结果 本研究最终纳入477例接受中药饮片治疗的DKD患者，在1203条方剂信息中，涉及中药462种；使用频数排名前5位的中药分别是黄芪、黄精、石斛、山茱萸、麦冬；使用频数前5类的中药类别分别是补气药、补阴药、清热燥湿药、活血调经药、息风止痉药；在30味高频药物中，苦、甘、辛药味最为常见；药性寒、温数量接近；归脾经、肝经、肺经、肾经居多；关联规则提示，药物组合中置信度最高的组合为地龙-当归-僵蚕，因子分析共得到5个有效因子，累积贡献率为47.33%。结论 中医药治疗DKD在补益气血阴阳的同时，兼顾对瘀血、湿邪和痰饮的治疗，结合证型，可考虑使用黄芪、黄精、石斛、山茱萸、麦冬、金蝉花等药物的使用，清热燥湿药物如黄连、黄芩、黄柏可适当加入，为使邪有去处，大黄、车前子或可增添疗效。     

约束隐结构研究冠心病痰湿证的定量化辨证规则＊

目前在中医界已发布的冠心病痰湿证辨证标准是以主症、次症形式定性地给出，存在主观性较强的问题。本文引入约束隐结构分析，该方法将主症、次症的语义作为约束条件加入隐结构分析过程，得到含有主症、次症语义约束的定量化中医证候辨证规则。使用该方法对冠心病痰湿证患者556条无标签数据的分析，得到其约束隐结构模型，最后建立定量化痰湿证辨证规则，舌胖边有齿痕（3.16）、苔腻（3.12）、苔白滑（4.72）、胸闷（1.73）、脉濡或滑（6.04）；次症：肢体困重（0.48）、口黏（0.63）、体胖（0.49）、大便粘滞（1.38）、脘腹痞满（0.97）、面色晦浊（0.79）、嗜睡（1.18）、纳差（1.07）。与经典隐结构模型得到规则和中医界已发布的定性化辨证规则相比，约束隐结构得到的规则客观性强，具有可重复性。在证候类大小、规则的量化合理度上较好地反映了主症、次症的特点，得到的规则切合中医实际，为冠心病痰湿证辨证标准的定量化研究提供帮助和参考。     

Effect of Race and Ethnicity on Risk of Radiotherapy Toxicity and Implications for Radiogenomics

AimsPatient factors affect the risk of radiotherapy toxicity, but many are poorly defined. Studies have shown that race affects cancer incidence, survival, drug response, molecular pathways and epigenetics. Effects on radiosensitivity and radiotherapy toxicity are not well studied. The aim of the present study was to identify the effects of race and ethnicity on the risk of radiotherapy toxicity.Materials and methodsA systematic review was carried out of PubMed, Ovid Medline and Ovid Embase with no year limit. PRISMA 2020 guidelines were followed. Two independent assessors reviewed papers.ResultsOf 607 papers screened, 46 fulfilled the inclusion criteria. Papers were published between 1996 and 2021 and involved 30–28,354 individuals (median 433). Most involved patients with prostate (33%), breast (26%) and lung (9%) cancer. Both early and late toxicities were studied. Some studies reported a higher risk of toxicity in White men with prostate cancer compared with other races and ethnicities. For breast cancer patients, some reported an increased risk of toxicity in White women compared with other race and ethnic groups. In general, it was difficult to draw conclusions due to insufficient reporting and analysis of race and ethnicity in published literature.ConclusionsReporting of race and ethnicity in radiotherapy studies must be harmonised and improved and frameworks are needed to improve the quality of reporting. Further research is needed to understand how ancestral heritage might affect radiosensitivity and risk of radiotherapy toxicity.     

Lung Cancer Risk in Never-Smokers of European Descent is Associated With Genetic Variation in the 5p15.33 TERT-CLPTM1Ll Region

IntroductionInherited susceptibility to lung cancer risk in never-smokers is poorly understood. The major reason for this gap in knowledge is that this disease is relatively uncommon (except in Asians), making it difficult to assemble an adequate study sample. In this study we conducted a genome-wide association study on the largest, to date, set of European-descent never-smokers with lung cancer.MethodsWe conducted a two-phase (discovery and replication) genome-wide association study in never-smokers of European descent. We further augmented the sample by performing a meta-analysis with never-smokers from the recent OncoArray study, which resulted in a total of 3636 cases and 6295 controls. We also compare our findings with those in smokers with lung cancer.ResultsWe detected three genome-wide statistically significant single nucleotide polymorphisms rs31490 (odds ratio [OR]: 0.769, 95% confidence interval [CI]: 0.722–0.820; p value 5.31 × 10^-16), rs380286 (OR: 0.770, 95% CI: 0.723–0.820; p value 4.32 × 10^-16), and rs4975616 (OR: 0.778, 95% CI: 0.730–0.829; p value 1.04 × 10^-14). All three mapped to Chromosome 5 CLPTM1L-TERT region, previously shown to be associated with lung cancer risk in smokers and in never-smoker Asian women, and risk of other cancers including breast, ovarian, colorectal, and prostate.ConclusionsWe found that genetic susceptibility to lung cancer in never-smokers is associated to genetic variants with pan-cancer risk effects. The comparison with smokers shows that top variants previously shown to be associated with lung cancer risk only confer risk in the presence of tobacco exposure, underscoring the importance of gene-environment interactions in the etiology of this disease.     

中药复方配伍的研究方法及其进展

中药复方是由2味或2味以上中药遵循中医理论组合而成的方剂。多味中药在合适的剂量配比之下,协同发挥作用,实现中医的整体调节治疗。研究中药复方的配伍对推动中药现代化发展、新药开发以及临床应用有着重要意义。近年来,研究者们在传统的"七情和合"与"君臣佐使"的基础上,运用新技术和新方法对中药复方的成分、药效活性和药代动力学性质等进行了研究,从不同角度探讨了中药复方配伍的科学内涵。同时,多种数理方法和模型的建立、网络药理学和数据挖掘方法的发展与应用,也对中药复方配伍研究提供了很大帮助。研究方法的发展虽促进了中药复方配伍的科学研究,但还需进一步建立适合中药复方配伍复杂关系的研究方法,以阐明中药复方及其成分/组分配伍的内在规律,进而构建新的现代中药复方,这也是目前中药复方配伍研究的重点任务。     

Association of expression quantitative trait loci for long noncoding RNAs with lung cancer risk in Asians

Identification of long noncoding RNA (lncRNA) expression quantitative trait loci (lncR‐eQTL) that associated with lung cancer can provide insights into regulatory mechanisms of lncRNA, and help reveal the role of lncRNA in lung cancer. A two‐stage case‐control design was implemented in this study. We first selected the lncRNAs that differently expressed based on the Cancer Genome Atlas (TCGA) project (75 normal and 708 tumor tissues) and identified eQTLs for selected lncRNAs based on data of 278 normal lung tissues from the the genotype‐tissue expression database. Then we selected lncR‐eQTLs that associated with lung cancer based on two lung cancer GWAS datasets (7127 cases and 6818 controls). Promising lncR‐eQTLs were further replicated in an additional population (1056 cases and 1053 controls). Functional annotations of the identified lncR‐eQTLs and related lncRNAs were finally performed by using multiple public databases. Our eQTL analysis finally detected three lncRNA‐eQTLs, rs793544 in 3q13.12 (odds ratio [OR] = 1.15; confidence interval [CI]:1.09‐1.22; P = 2.30 × 10^?6), rs7234707 in 18p11.31 (OR = 1.1; CI:1.05‐1.15; P = 9.01 × 10^?5) and rs1600249 in 8p23.1 (OR = 1.1; CI:1.05‐1.16; P = 1.27 × 10^?4), that were consistently associated with the risk of lung cancer. These findings indicate that lncR‐eQTLs may serve as novel susceptibility markers for lung cancer.     

Reconceptualizing anorexia nervosa

Anorexia nervosa (AN) has one of the highest mortality rates of any psychiatric disorder. Treatments are often ineffective and relapse is common. Most research attempting to understand the underlying causes and maintenance factors of AN has focused on environmental contributions, yet there is much to be explored in terms of biological risk and maintenance factors. In this paper, we focus primarily on AN research related to genetics and the complex microbial community in the gut (intestinal microbiota), and how these impact our conceptualization of this disorder. Emerging research identifying significant negative genetic correlations between AN and obesity suggests that the conditions may represent ‘metabolic bookends’. The identification of underlying biological mechanisms may provide both insight into extreme weight dysregulation on both ends of the spectrum and new possible points of entry for AN treatment. Additionally, the reported microbial imbalance (dysbiosis) in the gut microbiota in AN patients, potentially due to a nutrient‐ and energy‐deprived gut environment, implies alterations in functional and metabolic capacity of the gut microbiome. The extent to which AN and obesity can also be considered to be ‘microbiome bookends’ requires further investigation. Finally, we discuss ongoing and future AN projects exploring the interplay between host genomics, the environment, and cumulative microbial genomes (microbiome) as well as interventions at the microbial and gut level.