Obstetric experiences of young black mothers: An intersectional perspective.

BACKGROUND: In Chicago, maternal morbidity and mortality is six times more likely among Black birthing people than white, despite policy initiatives to promote maternal health equity. Disparities in maternal morbidity and mortality reflect experiences of structural inequities - including limited quality obstetric care, implicit bias, and racism resulting patient mistrust in the health care system, inadequate social support, and financial insecurity. Although there is published literature on Black women's experiences with obstetric care, including experiences with individual and structural racism, little is known about the intersection of age and race and experiences with health care. The purpose of this study was to explore the maternal health and pregnancy experiences of young Black women utilizing an intersectional theoretical lens. METHODS: In this study, we conducted two focus groups in a sample of 11 young Black pregnant people. We conducted a thematic analysis to identify codes, themes, and subthemes of the data. RESULTS: We developed two overarching themes: obstetric racism and obstetric resistance. To elucidate how obstetric racism framed our participants' healthcare experiences, we identified sub-themes: intersectional identities as young Black women, medical mistrust, and pregnancy trauma. The second major theme describes ways in which participants protected themselves against obstetric racism to engender positive health experiences. These methods of resistance included identifying advocates and relying on trusted providers. CONCLUSIONS: The current standard of obstetric care in the US is suboptimal due to individual and structural racism. This study provides unique data on the experiences with health care for young, Black pregnant individuals and delivers valuable insight into how individual and structural racism impacts obstetric care for young Black women.

Identification and validation of a metabolism-related gene signature for the prognosis of colorectal cancer: a multicenter cohort study.

OBJECTIVE: Cell metabolism plays a vital role in the proliferation, metastasis and sensitivity to chemotherapy drugs of colorectal cancer. The purpose of this multicenter cohort study is to investigate the potential genes indicating clinical outcomes in colorectal cancer patients. METHODS: We analyzed gene expression profiles of colorectal cancer to identify differentially expressed genes then used these differentially expressed genes to construct prognostic signature based on the least absolute shrink-age and selection operator Cox regression model. In addition, the multi-gene signature was validated in independent datasets including our multicenter cohort. Finally, nomograms were set up to evaluate the prognosis of colorectal cancer patients. RESULTS: Seventeen metabolism-related genes were determined in the least absolute shrink-age and selection operator model to construct signature, with area under receiver operating characteristic curve for relapse-free survival, 0.741, 0.755 and 0.732 at 1, 3 and 5 year, respectively. External validation datasets, GSE14333, GSE37892, GSE17538 and the Cancer Genome Atlas cohorts, were analyzed and stratified, indicating that the metabolism-related signature was reliable in discriminating high- and low-risk colorectal cancer patients. Area under receiver operating characteristic curves for relapse-free survival in our multicenter validation cohort were 0.801, 0.819 and 0.857 at 1, 3 and 5 year, respectively. Nomograms incorporating the genetic biomarkers and clinical pathological features were set up, which yielded good discrimination and calibration in the prediction of prognosis for colorectal cancer patients. CONCLUSION: An original metabolism-related signature was developed as a predictive model for the prognosis of colorectal cancer patients. A nomogram based on the signature was advantageous to facilitate personalized counselling and treatment of colorectal cancer patients.

Off-Grid DOA Estimation Based on Circularly Fully Convolutional Networks (CFCN) Using Space-Frequency Pseudo-Spectrum.

Low-frequency multi-source direction-of-arrival (DOA) estimation has been challenging for micro-aperture arrays. Deep learning (DL)-based models have been introduced to this problem. Generally, existing DL-based methods formulate DOA estimation as a multi-label multi-classification problem. However, the accuracy of these methods is limited by the number of grids, and the performance is overly dependent on the training data set. In this paper, we propose an off-grid DL-based DOA estimation. The backbone is based on circularly fully convolutional networks (CFCN), trained by the data set labeled by space-frequency pseudo-spectra, and provides on-grid DOA proposals. Then, the regressor is developed to estimate the precise DOAs according to corresponding proposals and features. In this framework, spatial phase features are extracted by the circular convolution calculation. The improvement in spatial resolution is converted to increasing the dimensionality of features by rotating convolutional networks. This model ensures that the DOA estimations at different sub-bands have the same interpretation ability and effectively reduce network model parameters. The simulation and semi-anechoic chamber experiment results show that CFCN-based DOA is superior to existing methods in terms of generalization ability, resolution, and accuracy.

Comparison of different methods for repairing damaged DNA from buffered and unbuffered formalin-fixed tissues.

Formalin fixation is considered an important process for preservation of human tissue samples for long periods. However, this process not only results in cross-linking complicating isolation of nucleic acid but also introduces polymerase "blocks" during polymerase chain reaction (PCR). At present, many protocols have already been developed aiming at extracting high amounts of amplifiable DNA from formalin-fixed tissues (FFTs). However, there are few methods for repairing formalin-damaged DNA. In this study, we compared the effectiveness of several post-extraction enzymatic repair techniques, including Taq DNA polymerase, DNA polymerase I and T4 DNA ligase, the PreCR™ Repair Mix and Restorase® DNA Polymerase, in restoring STR profiles from formalin-damaged DNA. Our results indicated that formalin-damaged DNA may be repaired partly with Taq DNA polymerase and the Restorase® DNA Polymerase, and lost alleles may be restored and STR peak heights may increase upon repair with them. Moreover, the repair ability of the protocol 2 with Taq DNA polymerase surpasses the Restorase® DNA Polymerase.

Multiplex assay development and mutation rate analysis for 13 RM Y-STRs in Chinese Han population.

In this study, a novel multiplex polymerase chain reaction (PCR) assay was developed for amplifying the newly introduced 13 rapidly mutating Y-STR markers (RM Y-STRs) including DYF387S1, DYF399S1, DYF403S1a/b, DYF404S1, DYS449, DYS518, DYS526b, DYS547, DYS570, DYS576, DYS612, DYS626, and DYS627. In addition, a survey for mutation rates of the 13 RM Y-STRs in Chinese Han population was performed to make sure of the mutation characteristic and application in Chinese group. With 14,476 allele transfers in 1034 father-son pairs, 221 mutation events occurred, of which 215 were one-step mutations and 6 were two-step mutations. Nineteen father-son pairs were found to have mutations at two loci and one pair at three loci. Based upon our research data, 18.96 % of all 1034 father-son pairs were successfully differentiated, and the estimated locus-specific mutation rates varied from 4.84 × 10-3 to 6.29 × 10-2, with an average estimated mutation rate 1.53 × 10-2 (95 % CI 1.33 × 10-2 to 1.74 × 10-2). Among the 13 Y-STR markers, eight loci (DYF399S1, DYF403S1a, DYF404S1, DYS449, DYS518, DYS547, DYS576, and DYS612) had mutation rates higher than 1.00 × 10-2, and the rest loci lower than 1.00 × 10-2 in Chinese samples.

Haplotype diversity of 13 RM Y-STRs in Chinese Han population and an update on the allele designation of DYF403S1.

Rapidly mutating Y-STRs (RM Y-STRs) have been paid much attention in recent years. The 13 RM Y-STRs have been proved to have substantially higher haplotype diversity and discrimination capacity than conventionally used Y-STRs, indicating the considerable power in paternal lineage differentiation. To investigate the haplotype diversity in Chinese Han population, we collected 252 unrelated male samples and tested the genotype of the 13 RM Y-STRs. Among 252 male individuals, a total of 250 haplotypes were observed in which only 2 haplotypes were shared by 2 males respectively. The haplotype diversity reached 0.999937 and the discrimination capacity was 99.21%, showing a great discrimination power in Chinese Han population. In addition, an update on the allele designation of DYF403S1 was proposed.