In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.

[EX Q]: Context: Protein kinase D (PKD or PKD1) is a serine/threonine protein kinase that has been shown to play a role in a variety of cellular processes; however, the function of PKD1 in the skin has not been fully investigated. The balance between proliferation and differentiation processes in the predominant cells of the epidermis, the keratinocytes, is essential for normal skin function.', 'To investigate the effect of PKD1 deficiency on proliferation and differentiation of epidermal keratinocytes.', 'We utilized a floxed PKD1 mouse model such that infecting epidermal keratinocytes derived from these mice with an adenovirus expressing Cre-recombinase allowed us to determine the effect of PKD1 gene loss in vitro. Proliferation and differentiation were monitored using qRT-PCR, Western blot, transglutaminase activity assays, [3H]thymidine incorporation into DNA and cell cycle analysis.', 'A significant decrease in PKD1 mRNA and protein levels was achieved in adenoviral Cre-recombinase-infected cells. Deficiency of PKD1 resulted in significant increases in the mRNA and protein expression of various differentiation markers such as loricrin, involucrin, and keratin 10 either basally and/or upon stimulation of differentiation. PKD1-deficient keratinocytes also showed an increase in transglutaminase expression and activity, indicating an anti-differentiative role of PKD1. Furthermore, the PKD1-deficient keratinocytes exhibited decreased proliferation. However, PKD1 loss had no effect on stem cell marker expression.\Question: Does protein kinase D1 deficiency promote differentiation in epidermal keratinocytes?
[EX A]: Cre-recombinase-mediated knockdown represents an additional approach demonstrating that PKD1 is an anti-differentiative, pro-proliferative signal in mouse keratinocytes.

[EX Q]: Context: To ascertain the predictive role of longitudinally acquired biochemical measures of cartilage turnover in relation to X-ray defined knee osteoarthritis (OAK), knee pain and functioning.', "This is a feasibility study based on 72 enrollees of the Michigan site of Study of Women's Health Across the Nation (SWAN), a longitudinal, population-based cohort study with 11 annual visits to characterize health at the mid-life. At visits in 1996, 1998 and 2007, radiographs were evaluated for the presence of OAK [>or=2 on the Kellgren and Lawrence (K-L) scale]. Knee pain and stiffness were assessed by interview. Functioning was assessed using the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC). Cartilage oligomeric matrix protein (COMP) and Type II collagen telopeptides (CTX-II) were assayed in serum and urine samples collected on alternate years from 1997 to 2006. We related trajectories of the cartilage biochemical markers from these five time points to OAK severity (no OAK, K-L score<2; mild OAK, K-L score=2; moderate/severe OAK, K-L score=3 or 4), pain, stiffness, or functioning, using longitudinal non-linear mixed modeling.", 'The 2007 prevalence of X-ray defined OAK was 50% in these 72 women. Upward trajectories of COMP (P=0.02) and CTX-II (P=0.006) were associated with increased OAK severity and body size. COMP trajectories were associated with pain and stiffness, but not functioning. CTX-II trajectories were associated with stiffness scores, but not knee pain or functioning scores.\Question: Do longitudinal changes of serum COMP and urinary CTX-II predict X-ray defined knee osteoarthritis severity and stiffness in women?
[EX A]: Multiple, biennial measures of COMP or CTX-II taken over a 10-year period were predictive of subsequent OAK and knee stiffness.

[EX Q]: Context: Various types of diagnostic and monitoring techniques are available in the prehospital environment. It is unclear how increasing complexity of diagnostic equipment improves the ability to predict the need for a life-saving intervention (LSI). In this study, we determined whether the addition of diagnostic equipment improved the predictive power of vital signs and scores obtained only by physical examination.', 'Institutional review board approval was obtained for an analysis of 793 prehospital trauma patient records collected during helicopter transport by Emergency Medical Services personnel. Exclusion of severe head injuries and patients with incomplete data resulted in 381 patients available for analysis. Data sets were classified on the basis of the instrumentation requirements for capturing the given measurements and were defined by three groups: Group 1, vital signs obtained with no equipment (radial, femoral, and carotid pulse character; capillary refill; motor and verbal components of the Glasgow Coma Scale [GCS]); Group 2, Group 1 plus eye component of the GCS and pulse oximetry (Spo(2)); and Group 3, Group 2 plus fully automated noninvasive blood pressure measurements, heart rate, end-tidal carbon dioxide, and respiratory rate. LSIs performed during transport and in the hospital were recorded. Data were analyzed using a multivariate logistic regression model to determine which vital signs were the best predictors of LSI.', 'Radial pulse character and GCS verbal and motor components had the best predictive power for the need of a prehospital LSI in Group 1 (receiver operating characteristic [ROC] curve, 0.97). Radial pulse character together with the eye component of the GCS and the motor component of the GCS provided the best prediction of a need for a prehospital LSI for Group 2 (ROC curve, 0.97). Addition of all supplementary vital signs measured by an automated monitor (Group 3) resulted in an ROC curve of 0.97. Given an abnormal radial pulse character (weak or absent) and abnormal GCS verbal and motor components, the probability of needing an LSI was greater than 88%.\Question: Do manual vital signs reliably predict need for life-saving interventions in trauma patients?
[EX A]:
In this cohort of patients, predicting the need for an LSI could have been achieved from GCS motor and verbal components and radial pulse character without automated monitors. These data show that simple and rapidly acquired manual measurements could be used to effectively triage non-head-injured trauma casualties. Similar results were obtained from manual measurements compared with those recorded from automated medical instrumentation that may be unavailable or difficult to use in the field.