Search

Your search keyword '"Lafougere C."' showing total 13 results
Start Over Author "Lafougere C."
13 results on '"Lafougere C."'

1. Molecular and translational advances in meningiomas

Author

Suppiah S., Nassiri F., Bi W. L., Dunn I. F., Hanemann C. O., Horbinski C. M., Hashizume R., James C. D., Mawrin C., Noushmehr H., Perry A., Sahm F., Sloan A., Von Deimling A., Wen P. Y., Aldape K., Zadeh G., Au K., Barnhartz-Sloan J., Brastianos P. K., Butowski N., Carlotti C., Cusimano M. D., Dimeco F., Drummond K., Galanis E., Giannini C., Goldbrunner R., Griffith B., Herold-Mende C., Huang R. Y., James D., Jenkinson M. D., Jungk C., Kaufman T. J., Krischek B., Lachance D., Lafougere C., Lee I., Liu J. C., Mamatjan Y., Mansouri A., McDermott M., Munoz D., Ng H. -K., Pirouzmand F., Poisson L. M., Pollo B., Raleigh D., Saladino A., Santarius T., Schichor C., Schultz D., Schmidt N. O., Selman W., Spears J., Snyder J., Tabatabai G., Tatagiba M., Tirapelli D., Tonn J. C., Tsang D., Vogelbaum M. A., Deimling A. V., Walbert T., Westphal M., Workewych A. M., Suppiah S., Nassiri F., Bi W.L., Dunn I.F., Hanemann C.O., Horbinski C.M., Hashizume R., James C.D., Mawrin C., Noushmehr H., Perry A., Sahm F., Sloan A., Von Deimling A., Wen P.Y., Aldape K., Zadeh G., Au K., Barnhartz-Sloan J., Brastianos P.K., Butowski N., Carlotti C., Cusimano M.D., Dimeco F., Drummond K., Galanis E., Giannini C., Goldbrunner R., Griffith B., Herold-Mende C., Huang R.Y., James D., Jenkinson M.D., Jungk C., Kaufman T.J., Krischek B., Lachance D., Lafougere C., Lee I., Liu J.C., Mamatjan Y., Mansouri A., McDermott M., Munoz D., Ng H.-K., Pirouzmand F., Poisson L.M., Pollo B., Raleigh D., Saladino A., Santarius T., Schichor C., Schultz D., Schmidt N.O., Selman W., Spears J., Snyder J., Tabatabai G., Tatagiba M., Tirapelli D., Tonn J.C., Tsang D., Vogelbaum M.A., Deimling A.V., Walbert T., Westphal M., and Workewych A.M.

Subjects
Cancer Research, Supplement Articles, Genomics, Intracranial Neoplasm, sporadic meningioma, Bioinformatics, World health, Translational Research, Biomedical, Meningioma, 03 medical and health sciences, biomolecular, 0302 clinical medicine, Meningeal Neoplasms, otorhinolaryngologic diseases, medicine, Recurrent disease, Humans, Meningeal Neoplasm, Molecular Targeted Therapy, xenograft, Stage (cooking), neoplasms, MENINGIOMA, business.industry, cell line, Prognosis, medicine.disease, Combined Modality Therapy, nervous system diseases, 3. Good health, Clinical trial, Oncology, 030220 oncology & carcinogenesis, Neurology (clinical), genetic, business, epigenetic, 030217 neurology & neurosurgery
Abstract

Meningiomas are the most common primary intracranial neoplasm. The current World Health Organization (WHO) classification categorizes meningiomas based on histopathological features, but emerging molecular data demonstrate the importance of genomic and epigenomic factors in the clinical behavior of these tumors. Treatment options for symptomatic meningiomas are limited to surgical resection where possible and adjuvant radiation therapy for tumors with concerning histopathological features or recurrent disease. At present, alternative adjuvant treatment options are not available in part due to limited historical biological analysis and clinical trial investigation on meningiomas. With advances in molecular and genomic techniques in the last decade, we have witnessed a surge of interest in understanding the genomic and epigenomic landscape of meningiomas. The field is now at the stage to adopt this molecular knowledge to refine meningioma classification and introduce molecular algorithms that can guide prediction and therapeutics for this tumor type. Animal models that recapitulate meningiomas faithfully are in critical need to test new therapeutics to facilitate rapid-cycle translation to clinical trials. Here we review the most up-to-date knowledge of molecular alterations that provide insight into meningioma behavior and are ready for application to clinical trial investigation, and highlight the landscape of available preclinical models in meningiomas.

Published
2019

2. Life after surgical resection of a meningioma: a prospective cross-sectional study evaluating health-related quality of life

Author

Nassiri F., Price B., Shehab A., Au K., Cusimano M. D., Jenkinson M. D., Jungk C., Mansouri A., Santarius T., Suppiah S., Teng K. X., Toor G. S., Zadeh G., Walbert T., Drummond K. J., Aldape K., Barnhartz-Sloan J., Bi W. L., Brastianos P. K., Butowski N., Carlotti C., Dimeco F., Dunn I. F., Galanis E., Giannini C., Goldbrunner R., Griffith B., Hashizume R., Hanemann C. O., Herold-Mende C., Horbinski C., Huang R. Y., James D., Kaufman T. J., Krischek B., Lachance D., Lafougere C., Lee I., Liu J. C., Mamatjan Y., Mawrin C., McDermott M., Munoz D., Noushmehr H., Ng H. -K., Perry A., Pirouzmand F., Poisson L. M., Pollo B., Raleigh D., Sahm F., Saladino A., Schichor C., Schultz D., Schmidt N. O., Selman W., Sloan A., Spears J., Snyder J., Tabatabai G., Tatagiba M., Tirapelli D., Tonn J. C., Tsang D., Vogelbaum M. A., Deimling A. V., Wen P. Y., Westphal M., Workewych A. M., Nassiri F., Price B., Shehab A., Au K., Cusimano M.D., Jenkinson M.D., Jungk C., Mansouri A., Santarius T., Suppiah S., Teng K.X., Toor G.S., Zadeh G., Walbert T., Drummond K.J., Aldape K., Barnhartz-Sloan J., Bi W.L., Brastianos P.K., Butowski N., Carlotti C., Dimeco F., Dunn I.F., Galanis E., Giannini C., Goldbrunner R., Griffith B., Hashizume R., Hanemann C.O., Herold-Mende C., Horbinski C., Huang R.Y., James D., Kaufman T.J., Krischek B., Lachance D., Lafougere C., Lee I., Liu J.C., Mamatjan Y., Mawrin C., McDermott M., Munoz D., Noushmehr H., Ng H.-K., Perry A., Pirouzmand F., Poisson L.M., Pollo B., Raleigh D., Sahm F., Saladino A., Schichor C., Schultz D., Schmidt N.O., Selman W., Sloan A., Spears J., Snyder J., Tabatabai G., Tatagiba M., Tirapelli D., Tonn J.C., Tsang D., Vogelbaum M.A., Deimling A.V., Wen P.Y., Westphal M., and Workewych A.M.

Subjects
Male, cognition, Cancer Research, medicine.medical_specialty, Cross-sectional study, insomnia, Population, Neurosurgery, Supplement Articles, meningioma, surgery, Meningioma, 03 medical and health sciences, 0302 clinical medicine, Quality of life, Surveys and Questionnaires, Internal medicine, Meningeal Neoplasms, otorhinolaryngologic diseases, medicine, Humans, Longitudinal Studies, Prospective Studies, Prospective cohort study, education, education.field_of_study, business.industry, COGNIÇÃO, Cognition, Middle Aged, Prognosis, medicine.disease, humanities, 3. Good health, health-related quality of life, Cross-Sectional Studies, Oncology, 030220 oncology & carcinogenesis, Quality of Life, Female, fatigue, Neurology (clinical), business, 030217 neurology & neurosurgery, Follow-Up Studies, Cohort study
Abstract

Background Few studies have evaluated the health-related quality of life (HRQoL) of patients with meningiomas. Here, we report the largest prospective, longitudinal cross-sectional cohort study of HRQoL in meningiomas to date, in order to identify possible actionable determinants of global HRQoL. Methods Adults who had undergone resection of a grade I intracranial meningioma and were in routine follow-up at a single large tertiary center underwent HRQoL assessment using the QLQ-C30 questionnaire administered opportunistically at follow-up visits. Averaged transformed QLQ-C30 scores at 12-month intervals were compared with scores from a normative reference population, with reference to known minimal clinically meaningful difference (CMD) in scores. To evaluate for possible determinants of changes in global HRQoL, global HRQoL scores were correlated (Spearman's Rho) with subdomain and symptom scores and with interval time from surgical resection. Results A total of 291 postoperative patients with histologically confirmed and surgically treated grade I meningiomas consented to participation and a total of 455 questionnaires were included for analysis. Patients with meningiomas reported reduced global HRQoL at nearly every 12-month interval with clinically and statistically significant impairments at 12, 48, 108, and 120 months postoperative compared with the normative population (P < 0.05). Meningioma patients at the 12-month interval also reported a reduction of each subdomain of HRQoL assessment (P < 0.05); however, a CMD was only seen in cognitive functioning. Physical, emotional, cognitive, and social subdomains, as well as fatigue and sleep/insomnia, were significantly associated with global HRQoL at the first 12-month interval. Overall, there was no significant correlation between time from surgery and global HRQoL or the subdomain functional or symptom sections of the QLQ-C30. Conclusions Meningioma patients report considerable limitations in HRQoL for more than 120 months after surgery, particularly in cognitive, emotional, and social function, as well as suffering significant fatigue and sleep impairment compared with a normative reference population. The majority of these reported functional impairments and symptoms are strongly associated with global HRQoL and thus can be considered determinants of global HRQoL that if treated, have the potential to improve HRQoL for our meningioma patients. This hypothesis requires future study of targeted interventions to determine their efficacy.

Published
2019

3. DNA methylation profiling to predict recurrence risk in meningioma: development and validation of a nomogram to optimize clinical management

Author

Nassiri F., Mamatjan Y., Suppiah S., Badhiwala J. H., Mansouri S., Karimi S., Saarela O., Poisson L., Gepfner-Tuma I., Schittenhelm J., Ng H. -K., Noushmehr H., Harter P., Baumgarten P., Weller M., Preusser M., Herold-Mende C., Tatagiba M., Tabatabai G., Sahm F., Von Deimling A., Aldape K., Au K., Barnhartz-Sloan J., Bi W. L., Brastianos P. K., Butowski N., Carlotti C., Cusimano M. D., Dimeco F., Drummond K., Dunn I. F., Galanis E., Giannini C., Goldbrunner R., Griffith B., Hashizume R., Hanemann C. O., Horbinski C., Huang R. Y., James D., Jenkinson M. D., Jungk C., Kaufman T. J., Krischek B., Lachance D., Lafougere C., Lee I., Liu J. C., Malta T. M., Mawrin C., McDermott M., Munoz D., Perry A., Pirouzmand F., Poisson L. M., Pollo B., Raleigh D., Saladino A., Santarius T., Schichor C., Schultz D., Schmidt N. O., Selman W., Sloan A., Spears J., Snyder J., Tirapelli D., Tonn J. C., Tsang D., Vogelbaum M. A., Wen P. Y., Walbert T., Westphal M., Workewych A. M., Zadeh G., Aldape K. D., Nassiri F., Mamatjan Y., Suppiah S., Badhiwala J.H., Mansouri S., Karimi S., Saarela O., Poisson L., Gepfner-Tuma I., Schittenhelm J., Ng H.-K., Noushmehr H., Harter P., Baumgarten P., Weller M., Preusser M., Herold-Mende C., Tatagiba M., Tabatabai G., Sahm F., Von Deimling A., Aldape K., Au K., Barnhartz-Sloan J., Bi W.L., Brastianos P.K., Butowski N., Carlotti C., Cusimano M.D., Dimeco F., Drummond K., Dunn I.F., Galanis E., Giannini C., Goldbrunner R., Griffith B., Hashizume R., Hanemann C.O., Horbinski C., Huang R.Y., James D., Jenkinson M.D., Jungk C., Kaufman T.J., Krischek B., Lachance D., Lafougere C., Lee I., Liu J.C., Malta T.M., Mawrin C., McDermott M., Munoz D., Perry A., Pirouzmand F., Poisson L.M., Pollo B., Raleigh D., Saladino A., Santarius T., Schichor C., Schultz D., Schmidt N.O., Selman W., Sloan A., Spears J., Snyder J., Tirapelli D., Tonn J.C., Tsang D., Vogelbaum M.A., Wen P.Y., Walbert T., Westphal M., Workewych A.M., Zadeh G., and Aldape K.D.

Subjects
Oncology, Cancer Research, medicine.medical_specialty, recurrence, predictor, ESTUDOS DE VALIDAÇÃO, Meningioma, nomogram, Internal medicine, medicine, Biomarkers, Tumor, Meningeal Neoplasms, Humans, Survival rate, Retrospective Studies, Oncotype DX Breast Cancer Assay, business.industry, Hazard ratio, Cancer, Disease Management, Retrospective cohort study, Nomogram, DNA Methylation, medicine.disease, Prognosis, Gene Expression Regulation, Neoplastic, Survival Rate, Clinical research, Basic and Translational Investigations, Neurology (clinical), methylation, Neoplasm Recurrence, Local, business, Follow-Up Studies
Abstract

Background Variability in standard-of-care classifications precludes accurate predictions of early tumor recurrence for individual patients with meningioma, limiting the appropriate selection of patients who would benefit from adjuvant radiotherapy to delay recurrence. We aimed to develop an individualized prediction model of early recurrence risk combining clinical and molecular factors in meningioma. Methods DNA methylation profiles of clinically annotated tumor samples across multiple institutions were used to develop a methylome model of 5-year recurrence-free survival (RFS). Subsequently, a 5-year meningioma recurrence score was generated using a nomogram that integrated the methylome model with established prognostic clinical factors. Performance of both models was evaluated and compared with standard-of-care models using multiple independent cohorts. Results The methylome-based predictor of 5-year RFS performed favorably compared with a grade-based predictor when tested using the 3 validation cohorts (ΔAUC = 0.10, 95% CI: 0.03–0.018) and was independently associated with RFS after adjusting for histopathologic grade, extent of resection, and burden of copy number alterations (hazard ratio 3.6, 95% CI: 1.8–7.2, P < 0.001). A nomogram combining the methylome predictor with clinical factors demonstrated greater discrimination than a nomogram using clinical factors alone in 2 independent validation cohorts (ΔAUC = 0.25, 95% CI: 0.22–0.27) and resulted in 2 groups with distinct recurrence patterns (hazard ratio 7.7, 95% CI: 5.3–11.1, P < 0.001) with clinical implications. Conclusions The models developed and validated in this study provide important prognostic information not captured by previously established clinical and molecular factors which could be used to individualize decisions regarding postoperative therapeutic interventions, in particular whether to treat patients with adjuvant radiotherapy versus observation alone.

Published
2019

4. Advances in multidisciplinary therapy for meningiomas

Author

Brastianos P. K., Galanis E., Butowski N., Chan J. W., Dunn I. F., Goldbrunner R., Herold-Mende C., Ippen F. M., Mawrin C., McDermott M. W., Sloan A., Snyder J., Tabatabai G., Tatagiba M., Tonn J. C., Wen P. Y., Aldape K., Nassiri F., Zadeh G., Jenkinson M. D., Raleigh D. R., Au K., Barnhartz-Sloan J., Bi W. L., Carlotti C., Cusimano M. D., Dimeco F., Drummond K., Giannini C., Griffith B., Hashizume R., Hanemann C. O., Horbinski C., Huang R. Y., James D., Jungk C., Kaufman T. J., Krischek B., Lachance D., Lafougere C., Lee I., Liu J. C., Mamatjan Y., Mansouri A., Munoz D., Noushmehr H., Ng H. -K., Perry A., Pirouzmand F., Poisson L. M., Pollo B., Sahm F., Saladino A., Santarius T., Schichor C., Schultz D., Schmidt N. O., Selman W., Spears J., Suppiah S., Tirapelli D., Tsang D., Vogelbaum M. A., Deimling A. V., Walbert T., Westphal M., Workewych A. M., Brastianos P.K., Galanis E., Butowski N., Chan J.W., Dunn I.F., Goldbrunner R., Herold-Mende C., Ippen F.M., Mawrin C., McDermott M.W., Sloan A., Snyder J., Tabatabai G., Tatagiba M., Tonn J.C., Wen P.Y., Aldape K., Nassiri F., Zadeh G., Jenkinson M.D., Raleigh D.R., Au K., Barnhartz-Sloan J., Bi W.L., Carlotti C., Cusimano M.D., Dimeco F., Drummond K., Giannini C., Griffith B., Hashizume R., Hanemann C.O., Horbinski C., Huang R.Y., James D., Jungk C., Kaufman T.J., Krischek B., Lachance D., Lafougere C., Lee I., Liu J.C., Mamatjan Y., Mansouri A., Munoz D., Noushmehr H., Ng H.-K., Perry A., Pirouzmand F., Poisson L.M., Pollo B., Sahm F., Saladino A., Santarius T., Schichor C., Schultz D., Schmidt N.O., Selman W., Spears J., Suppiah S., Tirapelli D., Tsang D., Vogelbaum M.A., Deimling A.V., Walbert T., Westphal M., and Workewych A.M.

Subjects
Oncology, Cancer Research, medicine.medical_treatment, Supplement Articles, meningioma, Systemic therapy, surgery, 0302 clinical medicine, Meningeal Neoplasms, Trabectedin, Cancer, clinical trial, targeted therapy, Prognosis, Combined Modality Therapy, 3. Good health, 6.1 Pharmaceuticals, 030220 oncology & carcinogenesis, International Consortium on Meningiomas, Patient Safety, Meningioma, medicine.drug, medicine.medical_specialty, Oncology and Carcinogenesis, Antineoplastic Agents, Radiosurgery, 03 medical and health sciences, Internal medicine, medicine, otorhinolaryngologic diseases, Humans, Meningeal Neoplasm, Oncology & Carcinogenesis, neoplasms, business.industry, Neurosciences, Evaluation of treatments and therapeutic interventions, medicine.disease, RADIOTERAPIA, Brain Disorders, nervous system diseases, Clinical trial, Radiation therapy, radiation, Neurology (clinical), Cranial Irradiation, business, 030217 neurology & neurosurgery
Abstract

Surgery has long been established as the first-line treatment for the majority of symptomatic and enlarging meningiomas, and evidence for its success is derived from retrospective case series. Despite surgical resection, a subset of meningiomas display aggressive behavior with early recurrences that are difficult to treat. The decision to radically resect meningiomas and involved structures is balanced against the risk for neurological injury in patients. Radiation therapy has largely been used as a complementary and safe therapeutic strategy in meningiomas with evidence primarily stemming from retrospective, single-institution reports. Two of the first cooperative group studies (RTOG 0539 and EORTC 22042) evaluating the outcomes of adjuvant radiation therapy in higher-risk meningiomas have shown promising preliminary results. Historically, systemic therapy has resulted in disappointing results in meningiomas. However, several clinical trials are under way evaluating the efficacy of chemotherapies, such as trabectedin, and novel molecular agents targeting Smoothened, AKT1, and focal adhesion kinase in patients with recurrent meningiomas.

Published
2019

5. Imaging and diagnostic advances for intracranial meningiomas

Author

Huang R. Y., Bi W. L., Griffith B., Kaufmann T. J., La Fougere C., Schmidt N. O., Tonn J. C., Vogelbaum M. A., Wen P. Y., Aldape K., Nassiri F., Zadeh G., Dunn I. F., Au K., Barnhartz-Sloan J., Brastianos P. K., Butowski N., Carlotti C., Cusimano M. D., Dimeco F., Drummond K., Galanis E., Giannini C., Goldbrunner R., Hashizume R., Hanemann C. O., Herold-Mende C., Horbinski C., James D., Jenkinson M. D., Jungk C., Kaufman T. J., Krischek B., Lachance D., Lafougere C., Lee I., Liu J. C., Mamatjan Y., Mansouri A., Mawrin C., McDermott M., Munoz D., Noushmehr H., Ng H. -K., Perry A., Pirouzmand F., Poisson L. M., Pollo B., Raleigh D., Sahm F., Saladino A., Santarius T., Schichor C., Schultz D., Selman W., Sloan A., Spears J., Snyder J., Suppiah S., Tabatabai G., Tatagiba M., Tirapelli D., Tsang D., Deimling A. V., Walbert T., Westphal M., Workewych A. M., Huang R.Y., Bi W.L., Griffith B., Kaufmann T.J., La Fougere C., Schmidt N.O., Tonn J.C., Vogelbaum M.A., Wen P.Y., Aldape K., Nassiri F., Zadeh G., Dunn I.F., Au K., Barnhartz-Sloan J., Brastianos P.K., Butowski N., Carlotti C., Cusimano M.D., Dimeco F., Drummond K., Galanis E., Giannini C., Goldbrunner R., Hashizume R., Hanemann C.O., Herold-Mende C., Horbinski C., James D., Jenkinson M.D., Jungk C., Kaufman T.J., Krischek B., Lachance D., Lafougere C., Lee I., Liu J.C., Mamatjan Y., Mansouri A., Mawrin C., McDermott M., Munoz D., Noushmehr H., Ng H.-K., Perry A., Pirouzmand F., Poisson L.M., Pollo B., Raleigh D., Sahm F., Saladino A., Santarius T., Schichor C., Schultz D., Selman W., Sloan A., Spears J., Snyder J., Suppiah S., Tabatabai G., Tatagiba M., Tirapelli D., Tsang D., Deimling A.V., Walbert T., Westphal M., and Workewych A.M.

Subjects
Cancer Research, medicine.medical_specialty, Neuroimaging, Supplement Articles, Multimodal Imaging, perfusion, Meningioma, 03 medical and health sciences, 0302 clinical medicine, Medical imaging, medicine, Meningeal Neoplasms, Humans, Meningeal Neoplasm, Radiation treatment planning, medicine.diagnostic_test, business.industry, imaging, Magnetic resonance imaging, medicine.disease, radiology, 3. Good health, Tumor detection, RADIOLOGIA, PET, Oncology, 030220 oncology & carcinogenesis, Radiological weapon, Neurology (clinical), Radiology, business, 030217 neurology & neurosurgery, CT, MRI
Abstract

The archetypal imaging characteristics of meningiomas are among the most stereotypic of all central nervous system (CNS) tumors. In the era of plain film and ventriculography, imaging was only performed if a mass was suspected, and their results were more suggestive than definitive. Following more than a century of technological development, we can now rely on imaging to non-invasively diagnose meningioma with great confidence and precisely delineate the locations of these tumors relative to their surrounding structures to inform treatment planning. Asymptomatic meningiomas may be identified and their growth monitored over time; moreover, imaging routinely serves as an essential tool to survey tumor burden at various stages during the course of treatment, thereby providing guidance on their effectiveness or the need for further intervention. Modern radiological techniques are expanding the power of imaging from tumor detection and monitoring to include extraction of biologic information from advanced analysis of radiological parameters. These contemporary approaches have led to promising attempts to predict tumor grade and, in turn, contribute prognostic data. In this supplement article, we review important current and future aspects of imaging in the diagnosis and management of meningioma, including conventional and advanced imaging techniques using CT, MRI, and nuclear medicine.

Published
2019

7. PO-1169: Influence of localisation of PSMA-positive oligo-metastases on efficacy of metastasis-directed EBRT

Author

Schmidt-Hegemann, N., primary, Kroeze, S., additional, Henkenberens, C., additional, Vogel, M., additional, Kirste, S., additional, Becker, J., additional, Burger, I., additional, Derlin, T., additional, Bartenstein, P., additional, Eiber, M., additional, Mix, M., additional, Lafougere, C., additional, Müller, A., additional, Grosu, A., additional, Combs, S., additional, Christiansen, H., additional, Guckenberger, M., additional, and Belka, C., additional

Published
2020
Full Text
View/download PDF

8. Serum neurofilament dynamics predicts neurodegeneration and clinical progression in presymptomatic Alzheimer’s disease

Author

Preische, O., Schultz, S.A., Apel, A., Kuhle, J., Kaeser, S.A., Barro, C., Gräber, S., Kuder-Buletta, E., LaFougere, C., Laske, C., Vöglein, J., Levin, J., Masters, C.L., Martins, R., Schofield, P.R., Rossor, M.N., Graff-Radford, N.R., Salloway, S., Ghetti, B., Ringman, J.M., Noble, J.M., Chhatwal, J., Goate, A.M., Benzinger, T.L.S., Morris, J.C., Bateman, R.J., Wang, G., Fagan, A.M., McDade, E.M., Gordon, B.A., Jucker, M., Allegri, R., Amtashar, F., Bateman, R., Benzinger, T., Berman, S., Bodge, C., Brandon, S., Brooks, W., Buck, J., Buckles, V., Chea, S., Chrem, P., Chui, H., Cinco, J., Clifford, J., Cruchaga, C., D’Mello, M., Donahue, T., Douglas, J., Edigo, N., Erekin-Taner, N., Fagan, A., Farlow, M., Farrar, A., Feldman, H., Flynn, G., Fox, N., Franklin, E., Fujii, H., Gant, C., Gardener, S., Goate, A., Goldman, J., Gordon, B., Graff-Radford, N., Gray, J., Gurney, J., Hassenstab, J., Hirohara, M., Holtzman, D., Hornbeck, R., Houeland DiBari, S., Ikeuchi, T., Ikonomovic, S., Jerome, G., Karch, C., Kasuga, K., Kawarabayashi, T., Klunk, W., Koeppe, R., Lee, J-H, Marcus, D., Mason, N.S., Masters, C., Maue-Dreyfus, D., McDade, E., Montoya, L., Mori, H., Morris, J., Nagamatsu, A., Neimeyer, K., Noble, J., Norton, J., Perrin, R., Raichle, M., Ringman, J., Roh, J-H, Schofield, P., Shimada, H., Shiroto, T., Shoji, M., Sigurdson, W., Sohrabi, H., Sparks, P., Suzuki, K., Swisher, L., Taddei, K., Wang, J., Wang, P., Weiner, M., Wolfsberger, M., Xiong, C., Xu, X., Preische, O., Schultz, S.A., Apel, A., Kuhle, J., Kaeser, S.A., Barro, C., Gräber, S., Kuder-Buletta, E., LaFougere, C., Laske, C., Vöglein, J., Levin, J., Masters, C.L., Martins, R., Schofield, P.R., Rossor, M.N., Graff-Radford, N.R., Salloway, S., Ghetti, B., Ringman, J.M., Noble, J.M., Chhatwal, J., Goate, A.M., Benzinger, T.L.S., Morris, J.C., Bateman, R.J., Wang, G., Fagan, A.M., McDade, E.M., Gordon, B.A., Jucker, M., Allegri, R., Amtashar, F., Bateman, R., Benzinger, T., Berman, S., Bodge, C., Brandon, S., Brooks, W., Buck, J., Buckles, V., Chea, S., Chrem, P., Chui, H., Cinco, J., Clifford, J., Cruchaga, C., D’Mello, M., Donahue, T., Douglas, J., Edigo, N., Erekin-Taner, N., Fagan, A., Farlow, M., Farrar, A., Feldman, H., Flynn, G., Fox, N., Franklin, E., Fujii, H., Gant, C., Gardener, S., Goate, A., Goldman, J., Gordon, B., Graff-Radford, N., Gray, J., Gurney, J., Hassenstab, J., Hirohara, M., Holtzman, D., Hornbeck, R., Houeland DiBari, S., Ikeuchi, T., Ikonomovic, S., Jerome, G., Karch, C., Kasuga, K., Kawarabayashi, T., Klunk, W., Koeppe, R., Lee, J-H, Marcus, D., Mason, N.S., Masters, C., Maue-Dreyfus, D., McDade, E., Montoya, L., Mori, H., Morris, J., Nagamatsu, A., Neimeyer, K., Noble, J., Norton, J., Perrin, R., Raichle, M., Ringman, J., Roh, J-H, Schofield, P., Shimada, H., Shiroto, T., Shoji, M., Sigurdson, W., Sohrabi, H., Sparks, P., Suzuki, K., Swisher, L., Taddei, K., Wang, J., Wang, P., Weiner, M., Wolfsberger, M., Xiong, C., and Xu, X.

Abstract

Neurofilament light chain (NfL) is a promising fluid biomarker of disease progression for various cerebral proteopathies. Here we leverage the unique characteristics of the Dominantly Inherited Alzheimer Network and ultrasensitive immunoassay technology to demonstrate that NfL levels in the cerebrospinal fluid (n = 187) and serum (n = 405) are correlated with one another and are elevated at the presymptomatic stages of familial Alzheimer’s disease. Longitudinal, within-person analysis of serum NfL dynamics (n = 196) confirmed this elevation and further revealed that the rate of change of serum NfL could discriminate mutation carriers from non-mutation carriers almost a decade earlier than cross-sectional absolute NfL levels (that is, 16.2 versus 6.8 years before the estimated symptom onset). Serum NfL rate of change peaked in participants converting from the presymptomatic to the symptomatic stage and was associated with cortical thinning assessed by magnetic resonance imaging, but less so with amyloid-β deposition or glucose metabolism (assessed by positron emission tomography). Serum NfL was predictive for both the rate of cortical thinning and cognitive changes assessed by the Mini–Mental State Examination and Logical Memory test. Thus, NfL dynamics in serum predict disease progression and brain neurodegeneration at the early presymptomatic stages of familial Alzheimer’s disease, which supports its potential utility as a clinically useful biomarker.

Published
2019

12. Attention deficit hyperactivity disorder: binding of [[sup 99m] Tc]TRODAT-1 to the dopamine transporter before and after methylphenidate treatment.

Author

Dresel, S., Krause, J., Krause, K.-H., LaFougere, C., Brinkbäumer, K., Kung, H.F., Hahn, K., and Tatsch, K.

Subjects
DOPAMINERGIC mechanisms, ATTENTION-deficit hyperactivity disorder, DOPAMINE, POSITRON emission tomography
Abstract

Abstract. Involvement of the dopaminergic system has been suggested in patients suffering from attention deficit hyperactivity disorder (ADHD) since the symptoms can be successfully treated with methylphenidate, a potent blocker of the dopamine transporter (DAT). This study reports the findings on the status of the DAT in adults with ADHD before and after commencement of treatment with methylphenidate, as measured using [[sup 99m]Tc]TRODAT-1. Seventeen patients (seven males, ten females, aged 21-64 years, mean 38 years) were examined before and after the initiation of methylphenidate treatment (3 x 5 mg/day). All subjects were injected with 800 MBq [[sup 99m]Tc]TRODAT-1 and imaged 3 h p.i. Singlephoton emission tomography (SPET) scans were acquired using a triple-headed gamma camera. For semiquantitative evaluation of the DAT, transverse slices corrected for attenuation were used to calculate specific binding in the striatum, with the cerebellum used as background [(STR-BKG)/BKG]. Data were compared with an age-matched control group. It was found that untreated patients presented with a significantly increased specific binding of [[sup 99m]Tc]TRODAT-1 to the DAT as compared with normal controls [(STR-BKG)/BKG: 1.43 +/- 0.18 vs 1.22 +/- 0.06, P<0.001]. Under treatment with methylphenidate, specific binding decreased significantly in all patients [(STR-BKG)/BKG: 1.00 +/- 0.14, P<0.001].... [ABSTRACT FROM AUTHOR]

Published
2000
Full Text
View/download PDF

13. Serum neurofilament dynamics predicts neurodegeneration and clinical progression in presymptomatic Alzheimer's disease.

Author

Preische O, Schultz SA, Apel A, Kuhle J, Kaeser SA, Barro C, Gräber S, Kuder-Buletta E, LaFougere C, Laske C, Vöglein J, Levin J, Masters CL, Martins R, Schofield PR, Rossor MN, Graff-Radford NR, Salloway S, Ghetti B, Ringman JM, Noble JM, Chhatwal J, Goate AM, Benzinger TLS, Morris JC, Bateman RJ, Wang G, Fagan AM, McDade EM, Gordon BA, and Jucker M

Subjects
Alzheimer Disease cerebrospinal fluid, Humans, Mutation genetics, Neurofilament Proteins cerebrospinal fluid, Neurofilament Proteins genetics, Alzheimer Disease blood, Alzheimer Disease pathology, Disease Progression, Nerve Degeneration blood, Neurofilament Proteins blood
Abstract

Neurofilament light chain (NfL) is a promising fluid biomarker of disease progression for various cerebral proteopathies. Here we leverage the unique characteristics of the Dominantly Inherited Alzheimer Network and ultrasensitive immunoassay technology to demonstrate that NfL levels in the cerebrospinal fluid (n = 187) and serum (n = 405) are correlated with one another and are elevated at the presymptomatic stages of familial Alzheimer's disease. Longitudinal, within-person analysis of serum NfL dynamics (n = 196) confirmed this elevation and further revealed that the rate of change of serum NfL could discriminate mutation carriers from non-mutation carriers almost a decade earlier than cross-sectional absolute NfL levels (that is, 16.2 versus 6.8 years before the estimated symptom onset). Serum NfL rate of change peaked in participants converting from the presymptomatic to the symptomatic stage and was associated with cortical thinning assessed by magnetic resonance imaging, but less so with amyloid-β deposition or glucose metabolism (assessed by positron emission tomography). Serum NfL was predictive for both the rate of cortical thinning and cognitive changes assessed by the Mini-Mental State Examination and Logical Memory test. Thus, NfL dynamics in serum predict disease progression and brain neurodegeneration at the early presymptomatic stages of familial Alzheimer's disease, which supports its potential utility as a clinically useful biomarker.

Published
2019
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results