Prenatal diagnosis of micrognathia: a systematic review

PurposeThis systematic review aimed to analyze the characteristics of different diagnostic techniques for micrognathia, summarize the consistent diagnostic criteria of each technique, and provide a simple and convenient prenatal diagnosis strategy for micrognathia.MethodsIn accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, the search was undertaken in three international databases (PubMed, Scopus, and Web of Science). The three reviewers assessed all papers and extracted the following variables: author's name and year of publication, country, study design, number of participants, gestational age, equipment for prenatal examination, biometric parameters related to micrognathia, main results.ResultsA total of 25 articles included in the analysis. Nineteen articles described cross-sectional studies (76 percent), 4 (16 percent) were case-control studies, and 2 (8 percent) were cohort studies. Fifteen studies (60 percent) had a prospective design, 9 (36 percent) had a retrospective design, and one (4 percent) had both prospective and retrospective design. Thirty-two percent of the studies (n = 8) were performed in USA, and the remaining studies were performed in China (n = 4), Israel (n = 3), Netherlands (n = 3), UK (n = 1), France (n = 1), Italy (n = 1), Belgium(n = 1), Germany (n = 1), Spain (n = 1), and Austria (n = 1). The prenatal diagnosis of micrognathia can be performed as early as possible in the first trimester, while the second and third trimester of pregnancy were the main prenatal diagnosis period. The articles that were included in the qualitative synthesis describe 30 biometric parameters related to the mandible.ConclusionOf the 30 biometric parameters related to the mandible, 15 can obtain the simple and convenient diagnostic criteria or warning value for micrognathia. Based on these diagnostic criteria or warning value, clinicians can quickly make a preliminary judgment on facial deformities, to carry out cytologic examination to further clarify the diagnosis of micrognathia

Function of TRP channels in monocytes/macrophages

The transient receptor potential channel (TRP channel) family is a kind of non- specific cation channel widely distributed in various tissues and organs of the human body, including the respiratory system, cardiovascular system, immune system, etc. It has been reported that various TRP channels are expressed in mammalian macrophages. TRP channels may be involved in various signaling pathways in the development of various systemic diseases through changes in intracellular concentrations of cations such as calcium and magnesium. These TRP channels may also intermingle with macrophage activation signals to jointly regulate the occurrence and development of diseases. Here, we summarize recent findings on the expression and function of TRP channels in macrophages and discuss their role as modulators of macrophage activation and function. As research on TRP channels in health and disease progresses, it is anticipated that positive or negative modulators of TRP channels for treating specific diseases may be promising therapeutic options for the prevention and/or treatment of disease

Finishing the euchromatic sequence of the human genome

The sequence of the human genome encodes the genetic instructions for human physiology, as well as rich information about human evolution. In 2001, the International Human Genome Sequencing Consortium reported a draft sequence of the euchromatic portion of the human genome. Since then, the international collaboration has worked to convert this draft into a genome sequence with high accuracy and nearly complete coverage. Here, we report the result of this finishing process. The current genome sequence (Build 35) contains 2.85 billion nucleotides interrupted by only 341 gaps. It covers ∼99% of the euchromatic genome and is accurate to an error rate of ∼1 event per 100,000 bases. Many of the remaining euchromatic gaps are associated with segmental duplications and will require focused work with new methods. The near-complete sequence, the first for a vertebrate, greatly improves the precision of biological analyses of the human genome including studies of gene number, birth and death. Notably, the human enome seems to encode only 20,000-25,000 protein-coding genes. The genome sequence reported here should serve as a firm foundation for biomedical research in the decades ahead

Characterization of diverse internal binding specificities of PDZ domains by yeast two-hybrid screening of a special peptide library.

Protein-protein interactions (PPIs) are essential events to play important roles in a series of biological processes. There are probably more ways of PPIs than we currently realized. Structural and functional investigations of weak PPIs have lagged behind those of strong PPIs due to technical difficulties. Weak PPIs are often short-lived, which may result in more dynamic signals with important biological roles within and/or between cells. For example, the characteristics of PSD-95/Dlg/ZO-1 (PDZ) domain binding to internal sequences, which are primarily weak interactions, have not yet been systematically explored. In the present study, we constructed a nearly random octapeptide yeast two-hybrid library. A total of 24 PDZ domains were used as baits for screening the library. Fourteen of these domains were able to bind internal PDZ-domain binding motifs (PBMs), and PBMs screened for nine PDZ domains exhibited strong preferences. Among 11 PDZ domains that have not been reported their internal PBM binding ability, six were confirmed to bind internal PBMs. The first PDZ domain of LNX2, which has not been reported to bind C-terminal PBMs, was found to bind internal PBMs. These results suggest that the internal PBMs binding ability of PDZ domains may have been underestimated. The data provided diverse internal binding properties for several PDZ domains that may help identify their novel binding partners

Long-term Efficacy of Radiofrequency Ablation Combined with Chemotherapy in the Treatment of Patients with Advanced Non-small Cell Lung Cancer --A Retrospective Study

Background and objective Radiofrequency ablation (RFA) combined with chemotherapy has a certain short-term therapeutic effect for the treatment of advanced non-small cell lung cancer (NSCLC), but whether it can improve the long-term survival rate of patients is still controversy. This study retrospectively analyzed the difference of long-term efficacy between RFA combined with chemotherapy and chemotherapy alone in the treatment of patients with advanced NSCLC. Methods A total of 77 patients with stage IIIb and stage IV NSCLC who underwent radiofrequency ablation and chemotherapy in the Department of Thoracic Surgery, Xuanwu Hospital, Capital University of Medical Sciences from September 2009 to December 2015 were enrolled as the treatment group. Chemotherapy with no radiofrequency ablation was performed in 56 patients with stage IIIb and stage IV NSCLC as the control group. Two groups of patients were followed up by telephone about their living conditions. “Survival” package of R software version 3.4.1 was used for statistical analysis. Two sets of data baseline levels were tested by chi-square test. The bias was processed by Cox regression model and the survival curve was plotted using covariate mean substitution method. Results The first-year survival rate of the treatment group was 70.74%, the two-year survival rate was 39.31% and the median survival time was 22.1 months. The one-year survival rate was 54.54% in the control group, the two-year survival rate was 19.49%, the median survival for 18.1 months. The long-term survival rate of the treatment group was better than that of the control group (P<0.05, OR=0.571). Conclusion Radiofrequency ablation of lung cancer combined with chemotherapy can significantly improve the 2-year survival rate of patients with stage IIIb and stage IV NSCLC

Research and Application of Artificial Intelligence Based on Electronic Health Records of Patients With Cancer: Systematic Review

BackgroundWith the accumulation of electronic health records and the development of artificial intelligence, patients with cancer urgently need new evidence of more personalized clinical and demographic characteristics and more sophisticated treatment and prevention strategies. However, no research has systematically analyzed the application and significance of artificial intelligence based on electronic health records in cancer care. ObjectiveThe aim of this study was to conduct a review to introduce the current state and limitations of artificial intelligence based on electronic health records of patients with cancer and to summarize the performance of artificial intelligence in mining electronic health records and its impact on cancer care. MethodsThree databases were systematically searched to retrieve potentially relevant papers published from January 2009 to October 2020. Four principal reviewers assessed the quality of the papers and reviewed them for eligibility based on the inclusion criteria in the extracted data. The summary measures used in this analysis were the number and frequency of occurrence of the themes. ResultsOf the 1034 papers considered, 148 papers met the inclusion criteria. Cancer care, especially cancers of female organs and digestive organs, could benefit from artificial intelligence based on electronic health records through cancer emergencies and prognostic estimates, cancer diagnosis and prediction, tumor stage detection, cancer case detection, and treatment pattern recognition. The models can always achieve an area under the curve of 0.7. Ensemble methods and deep learning are on the rise. In addition, electronic medical records in the existing studies are mainly in English and from private institutional databases. ConclusionsArtificial intelligence based on electronic health records performed well and could be useful for cancer care. Improving the performance of artificial intelligence can help patients receive more scientific-based and accurate treatments. There is a need for the development of new methods and electronic health record data sharing and for increased passion and support from cancer specialists

Summary of Y2H screening of internal PBMs against 24 PDZ domains.

<p>Summary of Y2H screening of internal PBMs against 24 PDZ domains.</p

A schematic diagram showing the design of a nearly random internal octapeptide library.

<p>A schematic diagram showing the design of a nearly random internal octapeptide library.</p

Peptide sequence alignment of internal PBMs screened from the special internal octapeptide library using different PDZ domains as baits. Sequences were aligned by ClustalX 1.83, and further refined by GeneDoc software.

<p>A-J) Sequence alignment for the PDZ domain of ZO1-1, GOPC-1, RIMS2-1, DVL2-1, LNX2-1, HtrA2-1, Syntenin1-2, Par6A-1, Whirlin-3, and Harrmonin-1, respectively. Chemical property mode shading was used to highlight sequence residues that share a defined set of properties. K) Internal peptides bind to the PDZ domain of Dlg5-3, NHERF1-1, NHERF1-2, and Par3L-1, respectively. Potential internal PBMs were underlined with blue lines. n, number of clones probed.</p