Objective To study the shadowing effect when using UWB bio-radar to detect multiple static human targets to solve the problem in multi-target detection.Methods With simulated breathing apparatus as detection targets,the UWB bioradar multi static targets respiration detection experiment was designed,and the influences of distance and angle between targets and its respiratory frequency and amplitude on the shadowing effect were studied.Result The shadowing effect was mainly affected by the relative position of the multiple targets,while the respiratory frequency and amplitude of the target had less influence on it.Conclusion When multi static human targets are detected the shadowing effect does exist,and the effect mainly derives from the block of electromagnetic wave by the front target,while the change of respiratory parameters of the front target has little influence on the effect.

AIM:To investigate the expression of lipolysis-stimulated lipoprotein receptor(LSR)in dextran sodium sulfate(DSS)-induced colitis mice,and the effects of Lsr-specific knockout and overexpression in intestinal epithe-lium on intestinal inflammation in colitis mice.METHODS:C57BL/6J mice were administered 3%(w/v)DSS in drink-ing water for 6 days to induce colitis.Following the experiment,RNA-seq was employed to screen differentially expressed genes between the control group and experimental group.Changes in LSR expression were assessed using RT-qPCR,Western blot,and immunofluorescence staining.Intestinal epithelial Lsr-specific knockout mice were generated using the Cre-loxP system and subjected to DSS-induced colitis.Colitis severity was evaluated through changes in body weight,dis-ease activity index(DAI)score,colon length,and hematoxylin-eosin(HE)staining.Additionally,serum levels of tumor necrosis factor-α(TNF-α),interleukin-1β(IL-1β),IL-6,and IL-18 were measured via ELISA.Immunofluorescence staining was utilized to detect neutrophil and macrophage infiltration in colon tissues,while periodic acid-Schiff(PAS)staining was used to observe goblet cell numbers.Furthermore,adeno-associated virus(AAV-Lsr)was intraperitoneally injected to achieve LSR overexpression.Successful LSR overexpression was confirmed,and a DSS-induced colitis model was established using similar methods to observe intestinal inflammation.RESULTS:Results showed decreased LSR ex-pression in DSS-induced colitis mice.Intestinal epithelial Lsr-specific knockout mice exhibited increased susceptibility to DSS-induced colitis,evidenced by significantly reduced body weight(P<0.05),increased DAI(P<0.01),shortened co-lon length(P<0.05),and exacerbated pathological injury.Levels of pro-inflammatory cytokines TNF-α(P<0.05),IL-1β(P<0.01),IL-6(P<0.05),and IL-18(P<0.01)were significantly elevated,along with increased inflammatory cell infiltration and reduced goblet cell numbers in the colon.Conversely,LSR overexpression via AAV significantly alleviated intestinal inflammation in DSS-induced colitis mice.CONCLUSION:In conclusion,LSR expression decreased in DSS-induced colitis mice,and its loss exacerbated intestinal inflammation in this model.AAV-mediated LSR overexpression provided therapeutic relief from intestinal inflammation in DSS-induced colitis mice.

OBJECTIVETo explore the common causative genes and mutation sites for hereditary non-syndromic deafness in Shanxi.

METHODSPeripheral blood samples were collected from regional schools for children with deafness. The samples were analyzed by matrix-assisted laser desorption ionization of flight mass spectrometry, and the results were verified by DNA sequencing.

RESULTSFor all samples, the 20 mutational sites of the 4 common causative genes were tested. As revealed, c.235delC of GJB2 gene has the highest mutational rate (13.67%). c.IVS7-2A>G of SLC26A (PDS) gene has a mutation rate of 17.67%, and c.1555A>G of mitochondrial 12S rRNA has a mutation rate of 2.00%. No mutations have been found with GJB3 gene. Sequencing analysis has suggested that the above results have a consistency rate of 99%.

CONCLUSIONAnalysis of mutations of the 4 common deafness-related genes can facilitate early diagnosis and treatment for the disease. Matrix-assisted laser desorption ionization time of flight mass spectrometry is a reliable method for such a task.

Adolescent ; Asian Continental Ancestry Group ; genetics ; Base Sequence ; Child ; China ; Connexin 26 ; Connexins ; genetics ; DNA Mutational Analysis ; Deafness ; genetics ; Female ; Humans ; Male ; Molecular Sequence Data ; Mutation ; RNA, Ribosomal ; genetics ; Young Adult

OBJECTIVETo perform genetic analysis for 7 patients with Waardenburg syndrome.

METHODSPotential mutation of MITF, PAX3, SOX10 and SNAI2 genes was screened by polymerase chain reaction and direct sequencing. Functions of non-synonymous polymorphisms were predicted with PolyPhen2 software.

RESULTSSeven mutations, including c.649-651delAGA (p.R217del), c.72delG (p.G24fs), c.185T>C (p.M62T), c.118C>T (p.Q40X), c.422T>C (p.L141P), c.640C>T (p.R214X) and c.28G>T(p.G43V), were detected in the patients. Among these, four mutations of the PAX3 gene (c.72delG, c.185T>C, c.118C>T and c.128G>T) and one SOX10 gene mutation (c.422T>C) were not reported previously. Three non-synonymous SNPs (c.185T>C, c.128G>T and c.422T>C) were predicted as harmful.

CONCLUSIONGenetic mutations have been detected in all patients with Waardenburg syndrome.

Adolescent ; Child ; Female ; Humans ; Male ; Microphthalmia-Associated Transcription Factor ; genetics ; Mutation ; PAX3 Transcription Factor ; Paired Box Transcription Factors ; genetics ; Polymorphism, Single Nucleotide ; SOXE Transcription Factors ; genetics ; Waardenburg Syndrome ; genetics

OBJECTIVETo identify novel common mutations among patients with non-syndromic hearing loss (NSHL).

METHODSHigh-throughput gene capture technology was used to analyze 18 patients with NSHL in whom common mutations of deafness genes including GJB2, SLC26A4, GJB3, and mtDNA were excluded. Suspected mutation was verified with Sanger sequencing.

RESULTSNext generation sequencing has identified 62 mutations in 29 genes associated with hearing loss, which included 54 missense mutations, 4 splicing mutations, 3 deletional mutations, and 1 nonsense mutation. Mutations occurring more than twice in the 18 patients were verified by Sanger sequencing. This has confirmed 15 mutations in 8 genes, including 3 missense mutations (p.C2184G, p.L2825P, p.H1888Y) which have not been reported previously. Meanwhile, p.L445W, p.D866N, and IVS919-2A>G were common causative mutations.

CONCLUSIONA number of common causative mutations, e.g., p.L445W, p.D866N, IVS919-2A>G, have been identified by high-throughput capture technology, which may facilitate the research and genetic diagnosis for hearing loss.

DNA, Mitochondrial ; genetics ; Deafness ; genetics ; Female ; Hearing Loss ; genetics ; High-Throughput Nucleotide Sequencing ; methods ; Humans ; Male ; Mutation ; genetics

Products made from allogeneic tissue are largely used in clinical treatment due to its wide source compared with autologous tissue, causing less secondary trauma of patients and the good biocompatibility. Various organic solvents and other substances introduced in the production process of allogeneic products will leach down into the human through clinical treatment, thus bringing varying degrees of harm to patients. Therefore, it is very necessary to detect and control the leachables in such products. Based on the classification and summary of leachable substances existing in the allogeneic products, the preparation of extract and the establishment of the detection techniques for known and unknown leachable are briefly introduced in this study, in order to provide research method for the study of leachable substances of allogeneic products.
Humans ; Hematopoietic Stem Cell Transplantation ; Drug Packaging

Objective:To investigate the expression and clinical significance of plasma methylated SEPT9 (mSEPT9) gene in patients with primary liver cancer.Methods:393 cases who visited our hospital from May 2016 to October 2018 were selected. Among them, 75 cases were in the primary liver cancer (PLC) group, 50 cases were in the liver cirrhosis (LC) group, and 268 cases were in the healthy control group (HC). The three groups' positive rates of mSEPT9 expression in the peripheral plasma were detected by the polymerase chain reaction (PCR) fluorescent probe method. The correlational clinical features of liver cancer were analyzed. At the same time, the electrochemiluminescence detection method was used to compare the AFP positive rate. Statistical analysis was conducted using chi-square tests or continuity-corrected chi-square tests.Results:367 cases actually had valid samples. There were 64, 42, and 64 cases in the liver cancer group, cirrhosis group, and healthy control group, respectively. Among them, 34 cases of liver cancer were verified from pathological tissues. The positive rate of plasma mSEPT9 was significantly higher in the liver cancer group than that in the liver cirrhosis and healthy control groups [76.6% (49/64), 35.7% (15/42), and 3.8% (10/261), respectively], and the differences were statistically significant ( χ2 = 176.017, P < 0.001). The sensitivity of plasma mSEPT9 detection (76.6%) was significantly better in liver cancer (76.6%) than that of AFP patients (54.7%), and the difference was statistically significant ( χ2 = 6.788, P < 0.01). Compared with the single detection, the sensitivity and specificity of plasma mSEPT9 combined with AFP were significantly improved (89.7% vs. 96.3%, respectively). Patients with liver cancer aged≥50 years, with clinical stage II or above, and those with pathological signs of moderate to low differentiation had higher levels of plasma mSEPT9 positive expression, and the differences were statistically significant ( χ2 = 6.41, 9.279, 6.332, P < 0.05). During the follow-up period, the survival time of liver cancer patients with positive plasma mSEPT9 expression was significantly shorter than that of those with negative expression (310 ± 26 days vs. 487 ± 59 days, respectively), with statistically significant differences (Log Rank P = 0.039). Conclusion:In China, the positive rate of plasma mSEPT9 detection in liver cancer patients is higher than that of AFP in relation to age, clinical stage, and degree of tissue differentiation; additionally, it has certain survival predictive values. As a result, detecting this gene has important clinical significance and potential clinical application value in the non-invasive diagnosis and prognosis assessment of patients with primary liver cancer.

Objective:To investigate the feasibility of a three-dimensional no new U-Net (3D nnU-Net) deep learning (DL) network for the automatic segmentation of colorectal cancer (CRC) based on abdominal CT images.Methods:This was a cross-sectional study. From January 2018 to May 2023, a total of 2180 primary CRC patients, confirmed by pathology at the Guangdong Provincial Hospital of Traditional Chinese Medicine (center 1, n=777), Nanfang Hospital, Southern Medical University (center 2, n=732), and Sun Yat-sen Memorial Hospital (center 3, n=671), were enrolled in this retrospective study. The baseline abdominal CT examination of each patient was conducted using CT equipment from 7 different models across 4 vendors, at the 3 centers, encompassing both the arterial phase (AP) and venous phase (VP). Two radiologists manually delineated the volume of interest to circumscribe the entire tumors in dual-enhanced phase CT images. The CT data of CRC patients from center 1 and center 3 were merged and divided into a training set ( n=1 159) and a validation set ( n=289) using a weighted random method with a ratio of 4∶1. The patients from center 2 were used as an independent external test set ( n=732). The 3D nnU-Net segmentation model was trained and tested. Using manually annotated label data as the benchmark, segmentation performance of the model was evaluated based on different phases and tumor locations. The segmentation coverage rate (SCR), Dice similarity coefficient (DSC), recall (REC), precision (PRE), F1-score, and 95% Hausdorff distance (HD 95) were calculated. The mean manual segmentation time and the mean automatic time were compared using independent samples t-test. Results:In the independent external test set, the performance of the 3D nnU-Net model based on the AP CT images was superior to that based on the VP CT images. On the AP images, the SCR, DSC, REC, PRE, F1-score, and HD 95 were 0.865, 0.714, 0.716, 0.736, 0.714, and 27.228, respectively; on the VP images, they were 0.834, 0.679, 0.710, 0.675, 0.679, and 29.358, respectively. The model achieved the best performance on right-sided colon cancer, with SCR, DSC, REC, PRE, F1-score, and HD95 on the AP CT images at 0.901, 0.775, 0.780, 0.787, 0.775, and 21.793, respectively. Next were left-sided colon cancer and rectal cancer, while the segmentation performance for transverse colon cancer was the worst (SCR, DSC, REC, PRE, F1-score, and HD 95 were 0.731, 0.631, 0.641, 0.630, 0.631 and 38.721, respectively). The automatic segmentation time on a single phase was (1.0±0.3) min, while the manual segmentation time was (17.5±6.0) min ( t=128.24, P<0.001). Conclusions:After training and validating on a dataset from multiple centers with various CT scanner vendors, the 3D nnU-Net DL model demonstrates the capability to automatically segment CRC based on abdominal CT images, while also showcasing commendable robustness and generalization ability.