The Role of Self-Classified Race/Ethnicity, Insurance Status, and Hospital Type in Benign Hysterectomy.

To explore the associations of self-classified race/ethnicity, insurance status, and hospital type with updated appropriateness ratings of hysterectomy among premenopausal patients. The study population consisted of patients 18-44 years of age who received a hysterectomy for benign and non-obstetric gynecological conditions between October 2014 and December 2017. Structured and unstructured data were abstracted from electronic medical records (EMR).

Appropriateness of Hysterectomy as Treatment for Benign Gynecological Conditions.

To assess the appropriateness of hysterectomies performed at a large tertiary health system using the 1997 RAND appropriateness classification system and an updated algorithm. We abstracted structured and unstructured data from electronic medical records on patient demographics, primary indication(s) for hysterectomy, diagnosis codes associated with the hysterectomy, previous treatments, and laboratory results. Patients aged 18-44 years.

Changing trends in Black-White racial differences in surgical menopause: a population-based study.

Background: Bilateral oophorectomy before menopause, or surgical menopause, is associated with negative health outcomes, including an increased risk for stroke and other cardiovascular outcomes; however, surgical menopause also dramatically reduces ovarian cancer incidence and mortality rates. Because there are competing positive and negative sequelae associated with surgical menopause, clinical guidelines have not been definitive. Previous research indicates that White women have higher rates of surgical menopause than other racial groups.

Machine learning-aided protein identification from multidimensional signatures.

The ability to determine the identity of specific proteins is a critical challenge in many areas of cellular and molecular biology, and in medical diagnostics. Here, we present a macine learning aided microfluidic protein characterisation strategy that within a few minutes generates a three-dimensional fingerprint of a protein sample indicative of its amino acid composition and size and, thereby, creates a unique signature for the protein. By acquiring such multidimensional fingerprints for a set of ten proteins and using machine learning approaches to classify the fingerprints, we demonstrate that this strategy allows proteins to be classified at a high accuracy, even though classification using a single dimension is not possible.

Douching or Perineal Talc Use and Prevalent Fibroids in Young African American Women.

Black women are at an increased risk of developing fibroids, but the cause is unclear. Douching and perineal talc use are common lifestyle exposures among Black women, and may be risk factors for fibroid development. This cross-sectional study consisted of Black women 23-35 years of age in the metropolitan Detroit area ( = 1693) without prior diagnoses of fibroids and intact uteri.

The epidemiology of gynaecologic health: contemporary opportunities and challenges.

The field of reproductive epidemiology has primarily focused on reproductive outcomes and gynaecologic cancers. The study of non-cancerous, gynaecologic conditions (eg, uterine fibroids, endometriosis) has not received serious treatment in existing epidemiology textbooks and reproductive epidemiology curricula. Further, these conditions do not neatly fit into the other common subdisciplines within epidemiology (eg, infectious disease, cardiovascular, injury and occupational epidemiology and so on).

Analysis of αB-crystallin polydispersity in solution through native microfluidic electrophoresis.

In recent years, significant advancements have been made in the understanding of the population distributions and dynamic oligomeric states of the molecular chaperone αB-crystallin and its core domain variants. In this work, we provide solution-phase evidence of the polydispersity of αB-crystallin using microfluidic methods, used for separating the oligomeric species present in solution according to their different electrophoretic mobilities on-chip in a matter of seconds. We in particular demonstrate that microfluidic high-field electrophoresis and diffusion can detect the oligomerisation of these highly dynamic molecular chaperones and characterise the dominant oligomeric species present.

Cooperative Assembly of Hsp70 Subdomain Clusters.

Many molecular chaperones exist as oligomeric complexes in their functional states, yet the physical determinants underlying such self-assembly behavior, as well as the role of oligomerization in the activity of molecular chaperones in inhibiting protein aggregation, have proven to be difficult to define. Here, we demonstrate direct measurements under native conditions of the changes in the average oligomer populations of a chaperone system as a function of concentration and time and thus determine the thermodynamic and kinetic parameters governing the self-assembly process. We access this self-assembly behavior in real time under native-like conditions by monitoring the changes in the micrometer-scale diffusion of the different complexes in time and space using a microfluidic platform.

Real-Time Intrinsic Fluorescence Visualization and Sizing of Proteins and Protein Complexes in Microfluidic Devices.

Optical detection has become a convenient and scalable approach to read out information from microfluidic systems. For the study of many key biomolecules, however, including peptides and proteins, which have low fluorescence emission efficiencies at visible wavelengths, this approach typically requires labeling of the species of interest with extrinsic fluorophores to enhance the optical signal obtained - a process which can be time-consuming, requires purification steps, and has the propensity to perturb the behavior of the systems under study due to interactions between the labels and the analyte molecules. As such, the exploitation of the intrinsic fluorescence of protein molecules in the UV range of the electromagnetic spectrum is an attractive path to allow the study of unlabeled proteins.

Biophysical approaches for the study of interactions between molecular chaperones and protein aggregates.

Molecular chaperones are key components of the arsenal of cellular defence mechanisms active against protein aggregation. In addition to their established role in assisting protein folding, increasing evidence indicates that molecular chaperones are able to protect against a range of potentially damaging aspects of protein behaviour, including misfolding and aggregation events that can result in the generation of aberrant protein assemblies whose formation is implicated in the onset and progression of neurodegenerative disorders such as Alzheimer's and Parkinson's diseases. The interactions between molecular chaperones and different amyloidogenic protein species are difficult to study owing to the inherent heterogeneity of the aggregation process as well as the dynamic nature of molecular chaperones under physiological conditions.