A capture-based method of prenatal cell-free DNA screening for autosomal recessive non-syndromic hearing loss.

OBJECTIVE: This study aimed to develop and validate a prenatal cell-free DNA (cfDNA) screening method that uses capture-based enrichment to genotype fetal autosomal recessive disorders. This method was applied in pregnancies at high risk of autosomal recessive non-syndromic hearing loss (ARNSHL) to assess its accuracy and effectiveness. METHODS: This assay measured the allele counts in both white blood cell DNA and cfDNA from the blood samples of pregnant women using a capture-based next-generation sequencing method. It then applied a binomial model to infer the fetal genotypes with the maximum likelihood. Ninety-four pregnant couples that were carriers of variants of ARNSHL in GJB2 or SLC26A4 were enrolled. The fetal genotypes deduced using this screening method were compared with the results of genetic diagnosis using amniocentesis. RESULTS: Of the 94 couples, 65 carried more than one variant, resulting in 170 single-nucleotide polymorphism (SNP) loci to be inferred in the fetuses. Of the 170 fetal SNP genotypes, 150 (88.2%) had high confidence calls and 139 (92.7%) of these matched the genotypes obtained by amniocentesis result. Out of the remaining 20 (11.8%) cases with low-confidence calls, only 14 (70.0%) were concordant with genetic diagnosis using amniocentesis. The concordance rate was 100% for sites where the maternal genotype was wild-type homozygous. The discordance was site-biased, with each locus showing a consistent direction of discordance. Genetic diagnosis identified a total of 19 wild-type homozygotes, 46 heterozygotes, 19 compound heterozygotes, and 10 pathogenic homozygotes. This screening method correctly genotyped 81.9% (77/94) of fetuses and demonstrated a sensitivity of 89.7% and a specificity of 89.2% for correctly identifying ARNSHL. CONCLUSION: This capture-based method of prenatal screening by cfDNA demonstrated strong potential for fetal genotyping of autosomal recessive disorders.

Aesthetics++: Refining Graphic Designs by Exploring Design Principles and Human Preference.

During the creation of graphic designs, individuals inevitably spend a lot of time and effort on adjusting visual attributes (e.g., positions, colors, and fonts) of elements to make them more aesthetically pleasing. It is a trial-and-error process, requires repetitive edits, and relies on good design knowledge. In this work, we seek to alleviate such difficulty by automatically suggesting aesthetic improvements, i.e., taking an existing design as the input and generating a refined version with improved aesthetic quality as the output. This goal presents two challenges: proposing a refined design based on the user-given one, and assessing whether the new design is better aesthetically. To cope with these challenges, we propose a design principle-guided candidate generation stage and a data-driven candidate evaluation stage. In the candidate generation stage, we generate candidate designs by leveraging design principles as the guidance to make changes around the existing design. In the candidate evaluation stage, we learn a ranking model upon a dataset that can reflect humans' aesthetic preference, and use it to choose the most aesthetically pleasing one from the generated candidates. We implement a prototype system on presentation slides and demonstrate the effectiveness of our approach through quantitative analysis, sample results, and user studies.

A nomogram based on genotypic and clinicopathologic factors to predict the non-sentinel lymph node metastasis in Chinese women breast cancer patients.

Background: Sentinel lymph node biopsy (SLNB) is the standard treatment for breast cancer patients with clinically negative axilla. However, axillary lymph node dissection (ALND) is still the standard care for sentinel lymph node (SLN) positive patients. Clinical data reveals about 40-75% of patients without non-sentinel lymph node (NSLN) metastasis after ALND. Unnecessary ALND increases the risk of complications and detracts from quality of life. In this study, we expect to develop a nomogram based on genotypic and clinicopathologic factors to predict the risk of NSLN metastasis in SLN-positive Chinese women breast cancer patients. Methods: This retrospective study collected data from 1,879 women breast cancer patients enrolled from multiple centers. Genotypic features contain 96 single nucleotide polymorphisms (SNPs) associated with breast cancer susceptibility, therapy and prognosis. SNP genotyping was identified by the quantitative PCR detection platform. The genetic features were divided into two clusters by the mutational stability. The normalized polygenic risk score (PRS) was used to evaluate the combined effect of each SNP cluster. Recursive feature elimination (RFE) based on linear discriminant analysis (LDA) was adopted to select the most useful predictive features, and RFE based on support vector machine (SVM) was used to reduce the number of SNPs. Multivariable logistic regression models (i.e., nomogram) were built for predicting NSLN metastasis. The predictive abilities of three types of model (based on only clinicopathologic information, the integrated clinicopathologic and all SNPs information, and integrated clinicopathologic and significant SNPs information) were compared. Internal and external validations were performed and the area under ROC curves (AUCs) as well as a series of evaluation indicators were assessed. Results: 229 patients underwent SLNB followed by ALND and without any neo-adjuvant therapy, 79 among them (34%) had a positive axillary NSLN metastasis. The LDA-RFE identified the characteristics including lymphovascular invasion, number of positive SLNs, number of negative SLNs and two SNP clusters as significant predictors of NSLN metastasis. Furthermore, the SVM-RFE selected 29 significant SNPs in the prediction of NSLN metastasis. In internal validation, the median AUCs of the clinical and all SNPs combining model, the clinical and 29 significant SNPs combining model, and the clinical model were 0.837, 0.795 and 0.708 respectively. Meanwhile, in external validation, the AUCs of the three models were 0.817, 0.815 and 0.745 respectively. Conclusion: We present a new nomogram by combining genotypic and clinicopathologic factors to achieve higher sensitivity and specificity comparing with traditional clinicopathologic factors to predict NSLN metastasis in Chinese women breast cancer. It is recommended that more validations are required in prospective studies among different patient populations.

Improved Safety of Hybrid Electroconvulsive Therapy Compared With Standard Electroconvulsive Therapy in Patients With Major Depressive Disorder: A Randomized, Double-Blind, Parallel-Group Pilot Trial.

Objectives: ECT is a rapid and effective treatment for depression. While efficacy is often remarkable over the initial 3-4 sessions, the efficacy of later sessions is less rapid, and the side-effects, especially cognitive impairment limit its use. To preliminarily compare the efficacy and acceptability of a novel hybrid-ECT (HECT) protocol for patients with major depressive disorder (MDD) with standard ECT, we conducted this pilot trial. Methods: Thirty patients were randomly assigned to ECT or HECT. Both arms received three ECT sessions (phase 1) but, in phase 2, the HECT arm received low-charge electrotherapy instead of ECT. The primary outcome was the change in 24-item Hamilton depression rating scale (HAMD-24) scores between baseline and the end of treatment. Cognitive function was assessed by repeatable battery for the assessment of neuropsychological status (RBANS), Stroop color word, and orientation recovery tests (ORT). Safety was measured by the drop-out rate and adverse events (AEs). Four visits were conducted at baseline, post-phase 1, post-phase 2, and at 1-month follow-up. Trial registration: Chinese Clinical Trial Registry (http://www.chictr.org.cn/), identifier: ChiCTR1900027701. Results: Patients in both arms showed significant within-group improvements in HAMD-24, but the between-group differences were non-significant. Participants in the HECT arm outperformed ECT patients for most cognitive tests at the end of treatment or at follow-up. There was a significantly lower AE rate and shorter ORT in phase 2 of the HECT ar. Conclusion: In this pilot trial, HECT was associated with fewer AEs and better cognitive function including executive and memory function, but its possible similar antidepressive efficacy needs to be further investigated in future.

[Explore pros and cons of proproetary Chinese medicines and Western medicines].

Improve the Medication methods and the efficacy of Chinese medicines with western medicines. Read the according article, compare the advantage and disadvantge of Chinese medicines and western medicines interaction and describe the mechanism of medicines in effect. It shows that using Chinese medicines with western medicines have more disadvantage than adavntage. The clinical Chinese medicines with western medicines should according physical properties and pharmacological effects of drug at first, after taking, general the interval is from 1 hour to 3 hours to prevent medicine has physical reactions or toxicity in stomach, ensure taking medicines safety.

ADP1 affects abundance and endocytosis of PIN-FORMED proteins in Arabidopsis.

Auxin, as a vital plant hormone, regulates almost every aspect of plant growth and development. We previously identified a dominant mutant, adp1-D, displaying loss of apical dominance. We also demonstrated that down-regulation of local auxin biosynthesis in adp1-D was responsible for the bushy phenotype of this mutant. Consistent with the reduction of local auxin biosynthesis, we recently discovered that protein abundance of PIN1, PIN3, and PIN7 was reduced in adp1-D without accompanying transcription level changes. Additionally, subcellular analysis revealed that over-expression of ADP1 inhibited endocytosis of PIN proteins. Taken together, we conclude that ADP1 regulates plant architecture through the fine-tuning of local auxin biosynthesis and through post-transcriptional regulation of auxin transporters.