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  • 1.
    Alavian-Ghavanini, Ali
    et al.
    Karolinska Institutet.
    Lin, Ping-I
    Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Health Sciences (from 2013).
    Lind, P. Monica
    Uppsala University.
    Rimfors, Sabina Risen
    Karolinska Institutet.
    Lejonklou, Margareta Halin
    Uppsala University.
    Dunder, Linda
    Uppsala University.
    Tang, Mandy
    Karolinska Institutet.
    Lindh, Christian
    Lund University.
    Bornehag, Carl-Gustaf
    Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Health Sciences (from 2013). Icahn School of Medicine Mt Sinai, New York, USA.
    Rueegg, Joelle
    Karolinska Institutet.
    Prenatal Bisphenol A Exposure is Linked to Epigenetic Changes in Glutamate Receptor Subunit Gene Grin2b in Female Rats and Humans2018In: Scientific Reports, ISSN 2045-2322, E-ISSN 2045-2322, Vol. 8, article id 11315Article in journal (Refereed)
    Abstract [en]

    Bisphenol A (BPA) exposure has been linked to neurodevelopmental disorders and to effects on epigenetic regulation, such as DNA methylation, at genes involved in brain function. High doses of BPA have been shown to change expression and regulation of one such gene, Grin2b, in mice. Yet, if such changes occur at relevant doses in animals and humans has not been addressed. We investigated if low-dose developmental BPA exposure affects DNA methylation and expression of Grin2b in brains of adult rats. Furthermore, we assessed associations between prenatal BPA exposure and Grin2b methylation in 7-year old children. We found that Grin2b mRNA expression was increased and DNA methylation decreased in female, but not in male rats. In humans, prenatal BPA exposure was associated with increased methylation levels in girls. Additionally, Iow APGAR scores, a predictor for increased risk for neurodevelopmental diseases, were associated with higher Grin2b methylation levels in girls. Thus, we could link developmental BPA exposure and Iow APGAR scores to changes in the epigenetic regulation of Grin2b, a gene important for neuronal function, in a sexual dimorphic fashion. Discrepancies in exact locations and directions of the DNA methylation change might reflect differences between species, analysed tissues, exposure level and/or timing.

  • 2.
    Bjorvang, R. D.
    et al.
    Karolinska institutet.
    Gennings, C.
    Mt Sinai, Dept Environm Med & Publ Hlth, New York.
    Lin, Ping-I
    Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Health Sciences (from 2013).
    Hussein, G.
    Centrasjukhuset Karlstad.
    Kiviranta, H.
    Natl Inst Hlth & Welf, Dept Hlth Secur, Kuopio, Finland.
    Rantakokko, P.
    Natl Inst Hlth & Welf, Dept Hlth Secur, Kuopio, Finland.
    Ruokojarvi, P.
    Natl Inst Hlth & Welf, Dept Hlth Secur, Kuopio, Finland.
    Damdimopoulou, P.
    Karolinska institutet.
    Bornehag, Carl-Gustaf
    Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Health Sciences (from 2013). Mt Sinai, Dept Environm Med & Publ Hlth, New York.
    Persistent organic pollutants, pre-pregnancy use of combined oral contraceptive and time-to-pregnancy in SELMA cohort2018In: Toxicology Letters, ISSN 0378-4274, E-ISSN 1879-3169, Vol. 295, p. S63-S63Article in journal (Refereed)
  • 3.
    Ekbåge, Daniel
    et al.
    Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Engineering and Chemical Sciences (from 2013).
    Nilsson, Lars
    Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Engineering and Chemical Sciences (from 2013).
    Håkansson, Helena
    Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Engineering and Chemical Sciences (from 2013).
    Lin, Ping-I
    Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Health Sciences (from 2013).
    Multiple linear regression modelling of pulp and handsheet properties based on fiber morphology measurements and process data2020In: BioResources, ISSN 1930-2126, E-ISSN 1930-2126, Vol. 15, no 1, p. 654-676Article in journal (Refereed)
    Abstract [en]

    A multiple regression model was evaluated to predict pulp and handsheet properties including z-directional tensile strength (z-strength) and Scott bond values. One hypothesis that was central for the model evaluation was that the crill content, as measured with ultraviolet and infrared lights, would improve the statistical models. A chemi-thermomechanical pulp (CTMP) mill designed with two parallel primary refining lines and a reject refiner was the basis for this study, and all process data and pulp samples were gathered from the specific process. Pulp was extracted from the process for an extended period from a position after the latency chest (primary refined pulp) and from the pulp-stream exiting the mill to the board machine (accept pulp). The crill content was positively correlated to the z-strength of the accept pulp, explaining 55% of the variance with a linear regression model with the drill content as the sole predictor. The estimation model of the z-strength of accept pulp was based on a combination of the crill content, freeness, fibril perimeter for longer fibers, and mean kink angle, and resulted in an R-2 of 0.79. When applying cross-validation to determine the predictive model performance, the highest R-2 obtained was 0.67. This latter model included the crill content, fibril perimeter, and mean kink angle as predictors.

  • 4.
    Engh, Lisbet
    et al.
    Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Health Sciences (from 2013).
    Jernbro, Carolina
    Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Health Sciences (from 2013).
    Lin, Ping-I
    Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Health Sciences (from 2013).
    Bornehag, Carl-Gustaf
    Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Health Sciences (from 2013).
    Eriksson, Ulla-Britt
    Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Health Sciences (from 2013).
    Can school attachment modify the relation between foster care placement and school achievement?2018In: British Journal of School Nursing, ISSN 1752-2803, E-ISSN 2052-2827, Vol. 13, no 4, p. 175-185Article in journal (Refereed)
  • 5.
    Laue, Cameron
    et al.
    Division of Psychiatry, Cincinnati Children’s Hospital Medical Center, Cincinnati, USA.
    Griffey, Marcus
    Division of Psychiatry, Cincinnati Children’s Hospital Medical Center, Cincinnati, USA.
    Lin, Ping-I
    Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Health Sciences (from 2013).
    Wallace, Kirk
    Division of Psychiatry, Cincinnati Children’s Hospital Medical Center, Cincinnati, USA.
    van der Schoot, Menno
    Division of Behavioral & Health Sciences, Vrije Universiteit Amsterdam, Amersterdam, Netherlands.
    Horn, Paul
    Division of Neurology, Cincinnati Children’s Hospital Medical Center, Cincinnati, USA.
    Pedapati, Ernest
    Division of Psychiatry, Cincinnati Children’s Hospital Medical Center, Cincinnati, USA & Division of Neurology, Cincinnati Children’s Hospital Medical Center, Cincinnati, USA.
    Barzman, Drew
    Division of Psychiatry, Cincinnati Children’s Hospital Medical Center, Cincinnati, USA.
    Eye Gaze Patterns Associated with Aggressive Tendencies in Adolescence2018In: Psychiatric quarterly, ISSN 0033-2720, E-ISSN 1573-6709, Vol. 89, no 3, p. 747-756Article in journal (Refereed)
    Abstract [en]

    Social information processing theory hypothesizes that aggressive children pay more attention to cues of hostility and threat in others’ behavior, consequently leading to over-interpretation of others’ behavior as hostile. While there is abundant evidence of aggressive children demonstrating hostile attribution biases, less well documented is whether such biases stem from over-attendance and hypersensitivity to hostile cues in social situations. Over-attendance to hostile cues would be typified by deviations at any stage of the multi-stage process of social information processing models. While deviations at later stages in social information processing models are associated with aggressive behavior in children, the initial step of encoding has historically been difficult to empirically measure, being a low level automatic process unsuitable for self-report. We employed eye-tracking methodologies to better understand the visual encoding of such social information. Eye movements of ten 13–18 year-old children referred from clinical and non-clinical populations were recorded in real time while the children viewed scenarios varying between hostile, non-hostile and ambiguous social provocation. In addition, the children completed a brief measure of risk of aggression. Aggressive children did attend more to the social scenarios with hostile cues, in particular attending longest to those hostile scenarios where the actor in the scenario had a congruent emotional response. These findings corroborate social information processing theory and the traditional bottom-up processing hypotheses that aggressive behavior relates to increased attention to hostile cues.

  • 6.
    Lin, Ping-I
    et al.
    Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Health Sciences (from 2013).
    Fei, Lin
    Cincinnati Childrens Hosp .
    Barzman, Drew
    Cincinnati Childrens Hosp .
    Hossain, M.
    What have we learned from the time trend of mass shootings in the US?2018In: PLoS ONE, E-ISSN 1932-6203, Vol. 13, no 10, article id e0204722Article in journal (Refereed)
    Abstract [en]

    Little is known regarding the time trend of mass shootings and associated risk factors. In the current study, we intended to explore the time trend and relevant risk factors for mass shootings in the U.S. We attempted to identify factors associated with incidence rates of mass shootings at the population level. We evaluated if state-level gun ownership rate, serious mental illness rate, poverty percentage, and gun law permissiveness could predict the state-level mass shooting rate, using the Bayesian zero-inflated Poisson regression model. We also tested if the nationwide incidence rate of mass shootings increased over the past three decades using the non-homogenous Poisson regression model. We further examined if the frequency of online media coverage and online search interest levels correlated with the interval between two consecutive incidents. The results suggest an increasing trend of mass shooting incidences over time (p < 0.001). However, none of the state-level variables could predict the mass shooting rate. Interestingly, we have found inverse correlations between the interval between consecutive shootings and the frequency of on-line related reports as well as on-line search interests, respectively (p < 0.001). Therefore, our findings suggest that online media might correlate with the increasing incidence rate of mass shootings. Future research is warranted to continue monitoring if the incidence rates of mass shootings change with any population-level factors in order to inform us of possible prevention strategies.

  • 7.
    Lin, Ping-I
    et al.
    Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Health Sciences (from 2013).
    Shu, Huan
    Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Health Sciences (from 2013).
    Mersha, Tesfaye B.
    University of Cincinnati, USA.
    Comparing DNA methylation profiles across different tissues associated with the diagnosis of pediatric asthma2020In: Scientific Reports, ISSN 2045-2322, E-ISSN 2045-2322, Vol. 10, no 1, article id 151Article in journal (Refereed)
    Abstract [en]

    DNA methylation (DNAm) profiles in central airway epithelial cells (AECs) may play a key role in pathological processes in asthma. The goal of the current study is to compare the diagnostic performance of DNAm markers across three tissues: AECs, nasal epithelial cells (NECs), and peripheral blood mononuclear cells (PBMCs). Additionally, we focused on the results using the machine learning algorithm in the context of multi-locus effects to evaluate the diagnostic performance of the optimal subset of CpG sites. We obtained 74 subjects with asthma and 41 controls from AECs, 15 subjects with asthma and 14 controls from NECs, 697 subjects with asthma and 97 controls from PBMCs. Epigenome-wide DNA methylation levels in AECs, NECs and PBMCs were measured using the Infinium Human Methylation 450K BeadChip. Overlap analysis across the three different sample sources at the locus and pathway levels were studied to investigate shared or unique pathophysiological processes of asthma across tissues. Using the top 100 asthma-associated methylation markers as classifiers from each dataset, we found that both AEC- and NEC-based DNAm signatures exerted a lower classification error than the PBMC-based DNAm markers (p-value = 0.0002). The area-under-the-curve (AUC) analysis based on out-of-bag errors using the random forest classification algorithm revealed that PBMC-, NEC-, and AEC-based methylation data yielded 31 loci (AUC: 0.87), 8 loci (AUC: 0.99), and 4 loci (AUC: 0.97) from each optimal subset of tissue-specific markers, respectively. We also discovered the locus-locus interaction of DNAm levels of the CDH6 gene and RAPGEF3 gene might interact with each other to jointly predict the risk of asthma - which suggests the pivotal role of cell-cell junction in the pathological changes of asthma. Both AECs and NECs might provide better diagnostic accuracy and efficacy levels than PBMCs. Further research is warranted to evaluate how these tissue-specific DNAm markers classify and predict asthma risk.

1 - 7 of 7
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Cite
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  • fi-FI
  • nn-NO
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