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Inherited aortopathy, which is characterized by a high risk of fatal aortic aneurysms/dissections, can occur secondarily to several syndromes. To identify genetic mutations and help make a precise diagnosis, we designed a gene panel containing 15 genes responsible for inherited aortopathy and tested 248 probands with aortic disease or Marfan syndrome. The results showed that 92 individuals (37.1%) tested positive for a (likely) pathogenic mutation, most of which were FBN1 mutations. We found that patients with a FBN1 truncating or splicing mutation were more prone to developing severe aortic disease or valvular disease. To date, this is the largest reported cohort of Chinese patients with aortic disease who have undergone genetic testing. Therefore, it can serve as a considerable dataset of next generation sequencing data analysis of Chinese population with inherited aortopathy. Additionally, according to the accumulated data, we optimized the analysis pipeline by adding quality control steps and lowering the false positive rate.

In this study, a customized amplicon-based target sequencing panel was designed to enrich the whole exon regions of six genes associated with the risk of breast cancer. Targeted next-generation sequencing (NGS) was performed for 146 breast cancer patients (BC), 71 healthy women with a family history of breast cancer (high risk), and 55 healthy women without a family history of cancer (control). Sixteen possible disease-causing mutations on four genes were identified in 20 samples. The percentages of possible disease-causing mutation carriers in the BC group (8.9%) and in the high-risk group (8.5%) were higher than that in the control group (1.8%). The BRCA1 possible disease-causing mutation group had a higher prevalence in family history and triple-negative breast cancer, while the BRCA2 possible disease-causing mutation group was younger and more likely to develop axillary lymph node metastasis (P < 0.05). Among the 146 patients, 47 with a family history of breast cancer were also sequenced with another 14 moderate-risk genes. Three additional possible disease-causing mutations were found on PALB2, CHEK2, and PMS2 genes, respectively. The results demonstrate that the six-gene targeted NGS panel may provide an approach to assess the genetic risk of breast cancer and predict the clinical prognosis of breast cancer patients.

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Objective: Approximately 5%-10% of breast cancer (BC) patients display familial traits that are genetically inherited among the members of a family. The purpose of this study was to profile the germline mutations in 43 genes with different penetration rates and their correlations with phenotypic traits in Chinese familial BC families. Methods: Ion Torrent S5™-based next generation sequencing was conducted on 116 subjects from 27 Chinese familial BC families.Results: Eighty-one germline mutations in 27 BC predisposition genes were identified in 82.8% (96/116) of the cases. Among these, 80.8% of the mutated genes were related to DNA damage repair. Fourteen possible disease-causing variants were identified in 13 of 27 BC families. Only 25.9% (7/27) of the BC families exhibited hereditary deficiency in BRCA1/2 genes, while 22.2% of the BC families exhibited defects in non-BRCA genes. In all, 41.7% (40/96) of the mutation carriers had BRCA mutations, 88.5% (85/96) had non-BRCA mutations, and 30.2% (29/96) had both BRCA and non-BRCA mutations. The BC patients with BRCA mutations had a higher risk of axillary lymph node metastases than those without mutations (P < 0.05). However, the BC patients with non-BRCA mutations frequently had a higher occurrence of benign breast diseases than those without mutations (P < 0.05). Conclusions: In addition to BRCA1/2, genetic variants in non-BRCA DNA repair genes might play significant roles in the development of familial/hereditary BC. Therefore, profiling of multiple BC predisposition genes should be more valuable for screening potential pathogenic germline mutations in Chinese familial/hereditary BC.

Objective: To compare the clinical efficacy and safety of SIX Traditional Chinese Patent Medicines (TCPM) recommended by guidelines in improving lipids for patients with prediabetes by network meta-analysis.Methods: Randomized controlled trials of 6 TCPM in the treatment of prediabetes were searched systematically in various databases. After extracting effective data, the risk of bias was assessed using Review Manager 5.3 and Cochrane Collaboration Systems Evaluator’s Manual. Network meta-analysis was performed using STATA 15.0 based on the frequency statistical model. The effect size and credibility of the evidence for the intervention were summarized based on a minimal contextualized framework.Results: A total of 27 studies involving 2,227 patients were included. Compared with lifestyle modification (LM), Shenqi + LM [SMD −0.49 (95% CI: −0.85, −0.12)] and Jinqi + LM [SMD −0.44 (95% CI: −0.81, −0.06)] showed statistically significant effect in lowering TG, Shenqi + LM [SMD −0.51 (95%CI: −0.86, −0.17)] and Jinqi + LM [SMD −0.44 (95%CI: −0.80, −0.08)] in lowering TC, Jinlida + LM [SMD −0.31 (95%CI: −0.59, −0.04)] in lowering LDL-C, Shenqi + LM [SMD 0.29 (95%CI: 0.06, 0.51)] and Jinqi + LM [SMD 0.16 (95%CI: 0.01, 0.31)] in increasing HDL-C.Conclusion: For patients with prediabetes, Traditional Chinese patent medicine Jinqi and Shenqi combined with lifestyle modification were associated with a significant reduction in TG and TC, while Shenqi + LM was among the most effective. Jinlida + LM was among the least effective.Systematic Review Registration:https://clinicaltrials.gov/, identifier PROSPERO(CRD42021279332).

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