University of Medicine and Dentistry of New Jersey

About: University of Medicine and Dentistry of New Jersey is a based out in . It is known for research contribution in the topics: Population & Pregnancy. The organization has 14634 authors who have published 19610 publications receiving 1041794 citations.

Age of onset of child maltreatment predicts long-term mental health outcomes.

Abstract: The authors tested the hypothesis that children who are maltreated earlier in life are at greater risk for poor psychological functioning in adulthood than those maltreated later in life. Age of onset of maltreatment was assessed with 3 classifications: (a) continuous (ages 0-11 years); (b) dichotomous (early [ages 0-5 years] vs. later [ages 6-11 years]); and (c) developmental (infancy [ages 0-2 years], preschool [ages 3-5 years], early school age [ages 6-8 years], and school age [ages 9-11 years]). Individuals with documented cases of physical and sexual abuse and neglect prior to age 12 (N=496) were followed up and assessed in adulthood. Results indicated that an earlier onset of maltreatment, measured dichotomously and developmentally, predicted more symptoms of anxiety and depression in adulthood, while controlling for gender, race, current age, and other abuse reports. Later onset of maltreatment, measured continuously or developmentally, was predictive of more behavioral problems in adulthood. Implications for the assessment of maltreated children, the prevention of adult psychopathology, and the classification of age of maltreatment onset are discussed.

Heritable Diseases of Collagen

Abstract: FOR several decades it has been apparent that many diseases directly or indirectly involve collagen, the tough fibrous material that is the most abundant protein in the body and the major constitue...

Regression models for ordinal responses: a review of methods and applications.

Abstract: Background Epidemiologists are often interested in estimating the risk of several related diseases as well as adverse outcomes, which have a natural ordering of severity or certainty. While most investigators choose to model several dichotomous outcomes (such as very low birthweight versus normal and moderately low birthweight versus normal), this approach does not fully utilize the available information. Several statistical models for ordinal responses have been proposed, but have been underutilized. In this paper, we describe statistical methods for modelling ordinal response data, and illustrate the fit of these models to a large database from a perinatal health programme. Methods Models considered here include (1) the cumulative logit model, (2) continuation-ratio model, (3) constrained and unconstrained partial proportional odds models, (4) adjacent-category logit model, (5) polytomous logistic model, and (6) stereotype logistic model. We illustrate and compare the fit of these models on a perinatal database, to study the impact of midline episiotomy procedure on perineal lacerations during labour and delivery. Finally, we provide a discussion on graphical methods for the assessment of model assumptions and model constraints, and conclude with a discussion on the choice of an ordinal model. The primary focus in this paper is the formulation of ordinal models, interpretation of model parameters, and their implications for epidemiological research. Conclusions This paper presents a synthesized review of generalized linear regression models for analysing ordered responses. We recommend that the analyst performs (i) goodness-of-fit tests and an analysis of residuals, (ii) sensitivity analysis by fitting and comparing different models, and (iii) by graphically examining the model assumptions.

Autophagy suppresses progression of K-ras-induced lung tumors to oncocytomas and maintains lipid homeostasis

Abstract: Macroautophagy (autophagy hereafter) degrades and recycles proteins and organelles to support metabolism and survival in starvation. Oncogenic Ras up-regulates autophagy, and Ras-transformed cell lines require autophagy for mitochondrial function, stress survival, and engrafted tumor growth. Here, the essential autophagy gene autophagy-related-7 (atg7) was deleted concurrently with K-rasG12D activation in mouse models for non-small-cell lung cancer (NSCLC). atg7-deficient tumors accumulated dysfunctional mitochondria and prematurely induced p53 and proliferative arrest, which reduced tumor burden that was partly relieved by p53 deletion. atg7 loss altered tumor fate from adenomas and carcinomas to oncocytomas—rare, predominantly benign tumors characterized by the accumulation of defective mitochondria. Surprisingly, lipid accumulation occurred in atg7-deficient tumors only when p53 was deleted. atg7- and p53-deficient tumor-derived cell lines (TDCLs) had compromised starvation survival and formed lipidic cysts instead of tumors, suggesting defective utilization of lipid stores. atg7 deficiency reduced fatty acid oxidation (FAO) and increased sensitivity to FAO inhibition, indicating that with p53 loss, Ras-driven tumors require autophagy for mitochondrial function and lipid catabolism. Thus, autophagy is required for carcinoma fate, and autophagy defects may be a molecular basis for the occurrence of oncocytomas. Moreover, cancers require autophagy for distinct roles in metabolism that are oncogene- and tumor suppressor gene-specific.