Anders Björklund

Bio: Anders Björklund is an academic researcher from Lund University. The author has contributed to research in topics: Transplantation & Dopamine. The author has an hindex of 165, co-authored 769 publications receiving 84268 citations. Previous affiliations of Anders Björklund include University of Washington & Institute for the Study of Labor.

TFEB: Pathogenic role and therapeutic target in Parkinson disease.

Abstract: Parkinson disease (PD) is characterized by the progressive loss of nigral dopamine neurons and the presence of accumulations containing the disease-causing protein SNCA/α-synuclein. Here we review our recent findings describing how SNCA impairs the function of the master regulator of the autophagy-lysosomal pathway (ALP), the transcription factor EB (TFEB), and that genetic or pharmacological stimulation of its activity promotes protection of dopamine neurons. These findings suggest that strategies aimed at enhancing autophagy-mediated degradation of SNCA may hold great promise for disease intervention in PD.

Ex Vivo Gene Transfer of Brain‐derived Neurotrophic Factor to the Intact Rat Forebrain: Neurotrophic Effects on Cholinergic Neurons

Abstract: Neurotrophic effects of human brain-derived neurotrophic factor (hBDNF) on forebrain cholinergic neurons were addressed after ex vivo gene transfer to the intact adult rat brain, using a conditionally immortalized neural progenitor cell line (CINP) engineered to secrete the neurotrophin (2.8 ng/h/10(6) cells). This cell line was derived by repeated retroviral infection of the parental neural precursor line HiB5 followed by subcloning. The cells survived well in the host brain for long periods of time (up to 4 weeks), and induced a hypertrophic response of cholinergic neurons (positive for acetylcholinesterase, choline acetyltransferase or low-affinity nerve growth factor receptor) in the nucleus basalis magnocellularis and striatum. We conclude that these cholinergic cell groups are responsive to a low-level supply (nanograms per day) of BDNF in vivo when the neurotrophin is administered locally in the vicinity of the cell bodies.

Nature and Nurture in the Intergenerational Transmission of Socioeconomic Status: Evidence from Swedish Children and Their Biological and Rearing Parents

Abstract: This study uses an extraordinary Swedish data set to explore the sources of the intergenerational transmission of socioeconomic status. Merging data from administrative sources and censuses, we investigate the association between sons' and daughters' socioeconomic outcomes and those of their biological and rearing parents. Our analysis focuses on children raised in six different family circumstances: raised by both biological parents, raised by the biological mother without a stepfather, raised by the biological mother with a stepfather, raised by the biological father without a stepmother, raised by the biological father with a stepmother, and raised by two adoptive parents. Relative to the existing literature, the most remarkable feature of our data set is that it contains information on the biological parents even when they are not the rearing parents. We specify a simple additive model of pre-birth (including genetic) and post-birth influences and examine the model's ability to provide a unified account of the intergenerational associations in all six family types. Our results suggest substantial roles for both pre-birth and post-birth factors.

Functional reactivation of the deafferented hippocampus by embryonic septal grafts as assessed by measurements of local glucose utilization.

Abstract: Transection of the septo-hippocampal connections through fimbria-fornix damage in the rat results in profound hippocampal cholinergic deafferentation, and, when applied bilaterally, leads to severe and long-lasting impairments in learning and memory. Previous studies have shown that intrahippocampal septal grafts can reestablish a new cholinergic innervation in the inititally denervated hippocampal formation and at least partly compensate for the lesion-induced learning impairments in fimbria-fornix lesioned rats. The purpose of the present study was to determine the magnitude of lesion-induced alterations in cerebral function as reflected in local glucose use measured by (14C)-2-deoxyglucose (2-DG) autoradiography, and the degree to which this index of functional activity could be normalized following reinnervation from transplants of fetal cerebral tissue from the primordial septal region. Six months after unilateral fimbriafornix transection the rate of glucose utilization was reduced markedly throughout the ipsilateral hippocampus when compared to the intact contralateral side, while in the neocortex only the cingulate cortex showed long-lasting reductions in glucose use. Rats that received a transplant of fetal septal-diagonal band tissue at the time of fimbria-fornix transection, and were sacrificed 6 months later, displayed significantly greater glucose utilization in the ipsilateral hippocampus and cingulate cortex than was measured in these areas in rats with lesion alone. The recovery in glucose use was paralleled by a significant increase in acetylcholinesterase (AChE) staining in several areas of the ipsilateral hippocampal formation and cingulate cortex. This index of graft-induced cholinergic reinnervation was, moreover, significantly correlated with the rate of glucose use. Thus, in the fimbria-fornix transected animals the magnitude of glucose depression correlated with the extent of reduction in AChE staining, and in the grafted animals the degree of normalization of glucose use was correlated with the graft-induced increase in AChE-staining density. These results thus indicate that the 2-DG autoradiographic technique can provide a unique opportunity to map both altered functional activity in localized areas of the brain following specific lesions and the extent to which transplant-derived reinnervation of the host may induce a return to normal functional levels in the target site.

Econometric Analysis of Cross Section and Panel Data

Abstract: The second edition of this acclaimed graduate text provides a unified treatment of two methods used in contemporary econometric research, cross section and data panel methods. By focusing on assumptions that can be given behavioral content, the book maintains an appropriate level of rigor while emphasizing intuitive thinking. The analysis covers both linear and nonlinear models, including models with dynamics and/or individual heterogeneity. In addition to general estimation frameworks (particular methods of moments and maximum likelihood), specific linear and nonlinear methods are covered in detail, including probit and logit models and their multivariate, Tobit models, models for count data, censored and missing data schemes, causal (or treatment) effects, and duration analysis. Econometric Analysis of Cross Section and Panel Data was the first graduate econometrics text to focus on microeconomic data structures, allowing assumptions to be separated into population and sampling assumptions. This second edition has been substantially updated and revised. Improvements include a broader class of models for missing data problems; more detailed treatment of cluster problems, an important topic for empirical researchers; expanded discussion of "generalized instrumental variables" (GIV) estimation; new coverage (based on the author's own recent research) of inverse probability weighting; a more complete framework for estimating treatment effects with panel data, and a firmly established link between econometric approaches to nonlinear panel data and the "generalized estimating equation" literature popular in statistics and other fields. New attention is given to explaining when particular econometric methods can be applied; the goal is not only to tell readers what does work, but why certain "obvious" procedures do not. The numerous included exercises, both theoretical and computer-based, allow the reader to extend methods covered in the text and discover new insights.

疟原虫var基因转换速率变化导致抗原变异[英]／Paul H, Robert P, Christodoulou Z, et al//Proc Natl Acad Sci U S A

Abstract: 抗原变异可使得多种致病微生物易于逃避宿主免疫应答。表达在感染红细胞表面的恶性疟原虫红细胞表面蛋白1（PfPMP1）与感染红细胞、内皮细胞、树突状细胞以及胎盘的单个或多个受体作用，在黏附及免疫逃避中起关键的作用。每个单倍体基因组var基因家族编码约60种成员，通过启动转录不同的var基因变异体为抗原变异提供了分子基础。

Econometric Analysis of Panel Data

Abstract: Preface.1. Introduction.1.1 Panel Data: Some Examples.1.2 Why Should We Use Panel Data? Their Benefits and Limitations.Note.2. The One-way Error Component Regression Model.2.1 Introduction.2.2 The Fixed Effects Model.2.3 The Random Effects Model.2.4 Maximum Likelihood Estimation.2.5 Prediction.2.6 Examples.2.7 Selected Applications.2.8 Computational Note.Notes.Problems.3. The Two-way Error Component Regression Model.3.1 Introduction.3.2 The Fixed Effects Model.3.3 The Random Effects Model.3.4 Maximum Likelihood Estimation.3.5 Prediction.3.6 Examples.3.7 Selected Applications.Notes.Problems.4. Test of Hypotheses with Panel Data.4.1 Tests for Poolability of the Data.4.2 Tests for Individual and Time Effects.4.3 Hausman's Specification Test.4.4 Further Reading.Notes.Problems.5. Heteroskedasticity and Serial Correlation in the Error Component Model.5.1 Heteroskedasticity.5.2 Serial Correlation.Notes.Problems.6. Seemingly Unrelated Regressions with Error Components.6.1 The One-way Model.6.2 The Two-way Model.6.3 Applications and Extensions.Problems.7. Simultaneous Equations with Error Components.7.1 Single Equation Estimation.7.2 Empirical Example: Crime in North Carolina.7.3 System Estimation.7.4 The Hausman and Taylor Estimator.7.5 Empirical Example: Earnings Equation Using PSID Data.7.6 Extensions.Notes.Problems.8. Dynamic Panel Data Models.8.1 Introduction.8.2 The Arellano and Bond Estimator.8.3 The Arellano and Bover Estimator.8.4 The Ahn and Schmidt Moment Conditions.8.5 The Blundell and Bond System GMM Estimator.8.6 The Keane and Runkle Estimator.8.7 Further Developments.8.8 Empirical Example: Dynamic Demand for Cigarettes.8.9 Further Reading.Notes.Problems.9. Unbalanced Panel Data Models.9.1 Introduction.9.2 The Unbalanced One-way Error Component Model.9.3 Empirical Example: Hedonic Housing.9.4 The Unbalanced Two-way Error Component Model.9.5 Testing for Individual and Time Effects Using Unbalanced Panel Data.9.6 The Unbalanced Nested Error Component Model.Notes.Problems.10. Special Topics.10.1 Measurement Error and Panel Data.10.2 Rotating Panels.10.3 Pseudo-panels.10.4 Alternative Methods of Pooling Time Series of Cross-section Data.10.5 Spatial Panels.10.6 Short-run vs Long-run Estimates in Pooled Models.10.7 Heterogeneous Panels.Notes.Problems.11. Limited Dependent Variables and Panel Data.11.1 Fixed and Random Logit and Probit Models.11.2 Simulation Estimation of Limited Dependent Variable Models with Panel Data.11.3 Dynamic Panel Data Limited Dependent Variable Models.11.4 Selection Bias in Panel Data.11.5 Censored and Truncated Panel Data Models.11.6 Empirical Applications.11.7 Empirical Example: Nurses' Labor Supply.11.8 Further Reading.Notes.Problems.12. Nonstationary Panels.12.1 Introduction.12.2 Panel Unit Roots Tests Assuming Cross-sectional Independence.12.3 Panel Unit Roots Tests Allowing for Cross-sectional Dependence.12.4 Spurious Regression in Panel Data.12.5 Panel Cointegration Tests.12.6 Estimation and Inference in Panel Cointegration Models.12.7 Empirical Example: Purchasing Power Parity.12.8 Further Reading.Notes.Problems.References.Index.