Citations

Mayo Clinic

Clear

3307 citation(s) found for "Jäck, Alexander".

Genome-wide scan of healthy human connectome discovers SPON1 gene variant influencing dementia severity
Jahanshad, Neda , Rajagopalan, Priya , Hua, Xue , Hibar, Derrek P., Nir, Talia M. , Toga, Arthur W. , Jack, Clifford R., Saykin, Andrew J. , Weiner, Michael W. , Medland, Sarah E. , Montgomery, Grant W. , Hansell, Narelle K. , McMahon, Katie L. , Zubicaray, Greig I. de , Martin, Nicholas G. , Wright, Margaret J. , Thompson, Paul M. , Initiative, the Alzheimer’s Disease Neuroimaging, Aisen, Paul, Petersen, Ronald, Jagust, William J. , Trojanowski, John Q. , Toga, Arthur W., Green, Robert C., Liu, Enchi , Green, Robert C., Montine, Tom, Gamst, Anthony, Thomas, Ronald G. , Donohue, Michael, Walter, Sarah , Gessert, Devon, Sather, Tamie, Harvey, Danielle, Donohue, Michael, Kornak, John , Jack, Clifford R., Felmlee, Joel P. , Schuff, Norbert, Alexander, Gene, DeCarli, Charles , Bandy, Dan, Foster, Norm, Reiman, Eric M. , Mathis, Chet, Cairns, Nigel J. , Taylor‐Reinwald, Lisa, Trojanowki, John Q., Shaw, Les, Korecka, Magdalena , Toga, Arthur W., Crawford, Karen , Neu, Scott, Khachaturian, Zaven S., Frank, R.T., Molchan, Susan, Quinn, Joseph, Lind, Betty, Dolen, Sara, Schneider, Lon S. , Pawluczyk, Sonia, Spann, Bryan M., Brewer, James, Vanderswag, Helen, Heidebrink, Judith L. , Johnson, Kris , Doody, Rachelle S., Chowdhury, Munir , Bell, Karen L. , Carroll, Maria , Leon, Sue, Mintun, Mark A., Schneider, Stacy, Marson, Daniel , Griffith, Randall, Clark, David, Grossman, Hillel, Mitsis, Effie, Romirowsky, Aliza, deToledo‐Morrell, Leyla, Duara, Ranjan , Varon, Daniel, Roberts, Peggy, Albert, Marilyn, Onyike, Chiadi, Kielb, Stephanie , Glodzik, Lidia , Santi, Susan De , Doraiswamy, P. Murali , Petrella, Jeffrey R. , Coleman, Robert E. , Arnold, Steven E. , Karlawish, Jason H., Smith, Charles D., Jicha, Gregory A. , Hardy, Peter , Lopez, Oscar L., Oakley, MaryAnn, Simpson, Donna M., Goldstein, Bonnie S., Martin, Kim, Makino, Kelly M., Ismail, M. Saleem , Brand, Connie, Mulnard, Ruth A., Thai, Gaby , Mc-Adams-Ortiz, Catherine, Mathews, Dana, Quiceno, Mary , King, Richard, Martin-Cook, Kristen, Devous, Michael D. , Cellar, Janet S., Anderson, Heather S., Swerdlow, Russell H. , Apostolova, Liana , Lu, Po H. , Bartzokis, George, Graff‐Radford, Neill R. , Parfitt, Francine, Farlow, Martin R. , Hake, Ann Marie , Matthews, Brandy R., Herring, Scott, Dyck, Christopher H. van , Carson, Richard E. , MacAvoy, Martha G., Chertkow, Howard , Bergman, Howard , Hosein, Chris, Caldwell, Curtis, Hsiung, Ging‐Yuek Robin , Feldman, Howard J., Mudge, Benita, Assaly, Michele, Kertesz, Andrew, Rogers, John, Trost, Dick, Bernick, Charles , Munic, Donna, Mesulam, Marek-Marsel, Lipowski, Kristina, Wu, Chuang‐Kuo, Johnson, Nancy E., Sadowsky, Carl, Villena, Teresa, Johnson, Kathleen, Reynolds, Brigid, Marshall, Gad A. , Frey, Meghan , Yesavage, Jerome A. , Taylor, Joy L. , Lane, Barton , Rosen, Allyson , Tinklenberg, Jared, Sabbagh, Marwan, Belden, Christine M. , Jacobson, Sandra A. , Kowall, Neil W. , Budson, Andrew E. , Johnson, Patricia Lynn, Wolday, Saba, Bwayo, Salome K., Lerner, Alan J. , Hudson, Leon, Ogrocki, Paula, Fletcher, Evan, Olichney, John , Kittur, Smita, Borrie, Michael, Lee, T.-Y., Bartha, Robert , Asthana, Sanjay , Carlsson, Cynthia M., Preda, Adrian , Tariot, Pierre N. , Fleisher, Adam , Reeder, Stephanie, Bates, Vernice, Capote, Horacio, Rainka, Michelle, Kataki, Maria , Zimmerman, Earl A. , Celmins, Dzintra, Brown, Alice D., Blank, Karen, Anderson, Karen, Santulli, Robert B. , Schwartz, Eben S., Williamson, Jeff D. , Garg, Pradeep , Watkins, Franklin, Ott, Brian R. , Querfurth, Henry, Tremont, Geoffrey , Salloway, Stephen , Malloy, Paul, Correia, Stephen , Rosen, Howard J., Mintzer, Jacobo , Longmire, Crystal Flynn, Spicer, Kenneth, Rachinsky, Irina, Kertesz, Andrew, Drost, Dick, Lee, Ting‐Yim , Jack, Clifford R., Green, Robert C. , Initiative, the Alzheimer’s Disease Neuroimaging, Jack, Clifford R. , Toga, Arthur W., Beckett, Laurel , Green, Robert C., Morris, John C. , Green, Robert C., Donohue, Michael, Sather, Tamie, Donohue, Michael, Jack, Clifford R., Dale, Anders M. , Bernstein, Matt A. , Fox, Nick C. , Koeppe, Robert A. , Chen, Kewei , Mathis, Chet, Lee, Virginia M.‐Y. , Toga, Arthur W., Foroud, Tatiana , Potkin, Steven G. , Shen, Li , Snyder, Peter J. , Kaye, Jeffrey , Lord, Joanne L. , Villanueva-Meyer, Javier E. , Stern, Yaakov , Honig, Lawrence S. , Ances, Beau M. , Grossman, Hillel, Shah, Raj C. , Duara, Ranjan , Varón, Daniel , Rusinek, Henry , Leon, Mony J. de , Karlawish, Jason , Wolk, David A. , Porsteinsson, Anton P. , Womack, Kyle , Diaz‐Arrastia, Ramon , Weiner, Myron , Levey, Allan I. , Lah, James J. , Burns, Jeffrey M. , Silverman, Daniel H.S. , Johnson, Heather M. , Black, Sandra E. , Stefanovic, Bojana , Kertesz, Andrew, Kerwin, Diana , Martínez, Walter Fabián , Turner, Raymond Scott , Sperling, Reisa Anne , Johnson, Keith A. , Killiany, Ronald , Norbash, Alexander , Obisesan, Thomas O. , Carmichael, Owen , Johnson, Sterling C. , Nguyen, Dana R. , Reeder, Stephanie, Scharre, Douglas W. , Pearlson, Godfrey D. , Sink, Kaycee M. , Miller, Bruce L. , Finger, Elizabeth C. , Kertesz, Andrew, de Zubicaray, Greig I , Hansell, Narelle K , Saykin, Andrew J , Preda, Adrian , Martin, Nicholas G , Toga, Arthur W , Wright, Margaret J , Thompson, Paul M , Medland, Sarah E , Hsiung, Gink-Yuek , Jicha, Gregory A

Proceedings of the National Academy of Sciences | March 5, 2013 | Volume: 110 | Issue: 12 | Pages: 4768-4773

10.1073/pnas.1216206110 | PMID 23471985 Get It

Aberrant connectivity is implicated in many neurological and psychiatric disorders, including Alzheimer’s disease and schizophrenia. However, other than a few disease-associated candidate genes, we know little about the degree to which genetics play a role in the brain networks; we know even less about specific genes that influence brain connections. Twin and family-based studies can generate estimates of overall genetic influences on a trait, but genome-wide association scans (GWASs) can screen the genome for specific variants influencing the brain or risk for disease. To identify the heritability of various brain connections, we scanned healthy young adult twins with high-field, high-angular resolution diffusion MRI. We adapted GWASs to screen the brain’s connectivity pattern, allowing us to discover genetic variants that affect the human brain’s wiring. The association of connectivity with the SPON1 variant at rs2618516 on chromosome 11 (11p15.2) reached connectome-wide, genome-wide significance after stringent statistical corrections were enforced, and it was replicated in an independent subsample. rs2618516 was shown to affect brain structure in an elderly population with varying degrees of dementia. Older people who carried the connectivity variant had significantly milder clinical dementia scores and lower risk of Alzheimer’s disease. As a posthoc analysis, we conducted GWASs on several organizational and topological network measures derived from the matrices to discover variants in and around genes associated with autism ( MACROD2 ), development ( NEDD4 ), and mental retardation ( UBE2A ) significantly associated with connectivity. Connectome-wide, genome-wide screening offers substantial promise to discover genes affecting brain connectivity and risk for brain diseases.
Clinical Rating Systems for the Ankle-Hindfoot, Midfoot, Hallux, and Lesser Toes
Kitaoka, Harold B. , Alexander, Ian J. , Adelaar, Robert S., Nunley, James A., Myerson, Mark S. , Sanders, Melanie, Nunley, James A.

Foot & Ankle International | March 3, 2013 | Volume: 15 | Issue: 7 | Pages: 349-353

10.1177/107110079401500701 | PMID 7951968 Get It

Four rating systems were developed by the American Orthopaedic Foot and Ankle Society to provide a standard method of reporting clinical status of the ankle and foot. The systems incorporate both subjective and objective factors into numerical scales to describe function, alignment, and pain.
The Assessment of Dynamic Foot-to-Ground Contact Forces and Plantar Pressure Distribution: A Review of the Evolution of Current Techniques and Clinical Applications
Alexander, Ian J. , Chao, Edmund Y.S., Johnson, Kenneth A.

Foot & Ankle | March 3, 2013 | Volume: 11 | Issue: 3 | Pages: 152-167

10.1177/107110079001100306 | PMID 2074083 Get It

The objective documentation of foot function before and after therapeutic intervention will be greatly enhanced by the utilization of devices capable of measuring dynamic foot pressure distribution. Efforts to develop this technology date back to the late 19th century, but only with recent advances in computers has it been possible to produce quantitatively accurate high resolution foot pressure distribution with high sampling rates and easily interpreted graphic displays. Over the years, a variety of methods have been employed to study foot pressure. Many of these techniques have already improved our understanding of the foot and its function, and have had an impact on the way we practice. Effective clinical utilization of these new investigative tools depends on an understanding of their scientific basis, capabilities and limitations.
Magnetic Resonance Imaging in the Diagnosis of Disruption of the Posterior Tibial Tendon
Alexander, Ian J. , Johnson, Kenneth A. , Berquist, Thomas H.

Foot & Ankle | March 3, 2013 | Volume: 8 | Issue: 3 | Pages: 144-147

10.1177/107110078700800307 | PMID 3440555 Get It

Magnetic resonance imaging (MRI), a useful technique of studying soft tissues of the body, can be very effective in assessing the integrity of tendons. Usually a patient with a complete tear of the posterior tibial tendon has characteristic physical findings. In the patient presented, MRI demonstrated a complete disruption of the posterior tibial tendon, despite the absence of the commonly associated clinical findings. In view of the difficulties encountered with attempted tenography of the completely torn posterior tibial tendon, MRI provides a sensitive alternative diagnostic technique.
A single injection of kisspeptin‐54 temporarily increases luteinizing hormone pulsatility in healthy women
Jayasena, Channa , Comninos, Alexander , Veldhuis, Johannes D. , Abbara, Ali , Izzi‐Engbeaya, Chioma , Donaldson, Mandy, Ghatei, Mohammad A., Bloom, Stephen R. , Dhillo, Waljit S. , Misra, Shivani , Jayasena, Channa N

Clinical Endocrinology | March 2, 2013 | Volume: 79 | Issue: 4 | Pages: 558-563

10.1111/cen.12179 | PMID 23452073 Get It

SummaryBackgroundKisspeptin is a novel hypothalamic peptide which stimulates endogenous gonadotrophin releasing hormone (GnRH) secretion. A single subcutaneous bolus injection of kisspeptin‐54 increases circulating luteinizing hormone (LH) levels in women, but its acute effects on LH pulsatility are not known.AimsTo investigate the effects of a single subcutaneous (sc) injection of kisspeptin‐54 administration on LH pulsatility in healthy female volunteers.MethodsSix healthy female adult volunteers underwent 10‐minute blood sampling for serum LH measurement for 8 h during the follicular phase of menstrual cycle. Sc bolus injection of saline or kisspeptin‐54 (0·15, 0·30 or 0·60 nmol/kg) was administered 4 h after commencing the study. A previously described, blinded deconvolution method was used to detect LH pulses.ResultsMean number of LH pulses was increased significantly following 0·30 and 0·60 nmol/kg kisspeptin‐54 when compared with saline (mean increase in number of LH pulses per 4 h, following injection: −0·17 ± 0·54, saline; +2·33 ± 0·56, 0·30 nmol/kg kisspeptin‐54, P < 0·05 vs saline; +2·33 ± 0·80, 0·60 nmol/kg kisspeptin‐54, P < 0·05 vs saline). LH pulse secretory mass increased following injection of 0·60 nmol/kg in five of six subjects, but the mean change in all subjects was non‐significant when compared with saline (mean increase in pulse secretory mass in IU/l following injection: +0·35 ± 0·40, saline; +2·61 ± 1·17, 0·60 nmol/kg kisspeptin‐54, P = 0·10 vs saline).ConclusionsA single injection of kisspeptin‐54 temporarily stimulates the number of LH pulses in healthy women. Further studies are required to investigate the therapeutic potential of kisspeptin‐54 injection to restore LH pulsatility in patients with reproductive disorders caused by impaired GnRH secretion.
Population Pharmacokinetic Model for Cancer Chemoprevention With Sulindac in Healthy Subjects
Berg, Alexander , Mandrekar, Sumithra J. , Ziegler, Katie L. Allen, Carlson, Elsa C., Szabó, Éva , Ames, M. M., Boring, Daniel, Network, ; For the Cancer Prevention, Limburg, Paul J. , Reid, Joel M. , Network, ; For the Cancer Prevention, Szabo, Eva

The Journal of Clinical Pharmacology | February 22, 2013 | Volume: 53 | Issue: 4 | Pages: 403-412

10.1002/jcph.26 | PMID 23436338 Get It

AbstractSulindac is a prescription‐based non‐steroidal anti‐inflammatory drug (NSAID) that continues to be actively investigated as a candidate cancer chemoprevention agent. To further current understanding of sulindac bioavailability, metabolism, and disposition, we developed a population pharmacokinetic model for the parent compound and its active metabolites, sulindac sulfide, and exisulind. This analysis was based on data from 24 healthy subjects who participated in a bioequivalence study comparing two formulations of sulindac. The complex disposition of sulindac and its metabolites was described by a seven‐compartment model featuring enterohepatic recirculation and is the first reported population pharmacokinetic model for sulindac. The derived model was used to explore effects of clinical variables on sulindac pharmacokinetics and revealed that body weight, creatinine clearance, and gender were significantly correlated with pharmacokinetic parameters. Moreover, the model quantifies the relative bioavailability of the sulindac formulations and illustrates the utility of population pharmacokinetics in bioequivalence assessment. This novel population pharmacokinetic model provides new insights regarding the factors that may affect the pharmacokinetics of sulindac and the exisulind and sulindac sulfide metabolites in generally healthy subjects, which have implications for future chemoprevention trial design for this widely available agent.
The rate of successful four-corner arthrodesis with a locking, dorsal circular polyether-ether-ketone (PEEK-Optima) plate
Rhee, Peter C. , Shin, Alexander Y. , Shin, Alexander Y

Journal of Hand Surgery (European Volume) | February 6, 2013 | Volume: 38 | Issue: 7 | Pages: 767-773

10.1177/1753193413475962 | PMID 23390151 Get It

The purpose of this study is to evaluate the rate of union after four-corner arthrodesis with a locking, dorsal circular plate comprised of polyether-ether-ketone. A retrospective review was conducted of all patients who underwent four-corner arthrodesis with a locking, dorsal circular plate at our institution from January 2005 to May 2009. The primary outcome measure was radiographic and clinical union. During the study period, 26 consecutive wrists underwent four-corner arthrodesis with a locking, dorsal circular plate. Twenty-three wrists were included. The mean clinical follow-up was 16 months (range 3–37). Union was achieved in 22 of 23 wrists at a mean time of 3 months (range 1–12). There was one partial union that underwent successful revision arthrodesis. In summary, four-corner fusion with a polyether-ether-ketone locking, dorsal circular plate results in high union rates. The use of a radiolucent plate allows for more accurate assessment of union with the biomechanical advantages of a fixed angle construct.
Commentary: larazotide acetate ‐ an exciting new development for coeliac patients? Authors’ reply
Kelly, Ciarán P. , Green, P. H. R., DiMarino, Anthony J., Colatrella, Anthony M., Leffler, Daniel A. , Alexander, T. , Arsenescu, Razvan, Jiang, John , Arterburn, L. A., Paterson, Blake, Fedorak, Richard N. , Group, for the Larazotide Acetate Celiac Disease Study, Murray, Joseph A. , León, Francisco , Group, for the Larazotide Acetate Celiac Disease Study, Fedorak, R N

Alimentary Pharmacology & Therapeutics | January 22, 2013 | Volume: 37 | Issue: 4 | Pages: 496-497

10.1111/apt.12196 | PMID 23336684 Get It

Non‐alcoholic fatty liver disease contributes to hepatocarcinogenesis in non‐cirrhotic liver: A clinical and pathological study
Alexander, Jacob, Wu, Tsung‐Teh, Yeh, Matthew M. , Torbenson, Michael

Journal of Gastroenterology and Hepatology | January 10, 2013 | Volume: 28 | Issue: 5 | Pages: 848-854

10.1111/jgh.12116 | PMID 23302015 Get It

AbstractBackground and AimHepatocellular carcinoma (HCC) is a major complication of cirrhosis and has been increasing in incidence in recent years. Fatty liver disease is an increasingly common cause of chronic liver disease, and there have been several case reports of HCC in patients with non‐cirrhotic fatty liver disease. However, there is limited data from systematic studies with histological confirmation of the presence of both the HCC and the non‐cirrhotic fatty liver disease.MethodsWe studied the occurrence of fatty liver disease and the associated demographic, clinical, and pathological characteristics of a large cohort of patients with HCC in non‐cirrhotic livers. Patients with intrahepatic cholangiocarcinoma (CC) occurring in non‐cirrhotic livers and diagnosed during the same time period were used as the comparison group.ResultsSignificant steatosis in the nontumor liver had a statistically significant association with HCC, being present in 54% (85/157) of HCC compared with 27% (32/120) of CC (P < 0.0001). Steatohepatitis was present in 15% (24/157) of HCC and 1% (2/120) of CC (P = 0.0014). Furthermore, HCC was more prevalent in cases with higher grades of steatosis. In addition, the recently described intratumoral steatohepatitic morphology of HCC (SH‐HCC) was also associated with significant steatosis in nontumor liver, with significant steatosis being present in 89% with SH‐HCC compared with 50% without SH‐HCC (P = 0.0162). Finally, SH‐HCC was increasingly more prevalent in patients with higher grades of nontumor steatosis.ConclusionsTaken together, these findings suggest a strong association between fatty liver disease and HCC in non‐cirrhotic livers.
Analysis of 60 Reported Glioma Risk SNPs Replicates Published GWAS Findings but Fails to Replicate Associations From Published Candidate‐Gene Studies
Walsh, Kyle M. , Anderson, Erik L. , Hansen, Helen M. , Decker, Paul A. , Kosel, Matt, Kollmeyer, Thomas M. , Rice, Terri, Zheng, Shichun, Xiao, Yuanyuan , Chang, Jeffrey S. , McCoy, Lucie , Bracci, Paige M. , Wiemels, Joe, Pico, Alexander R. , Smirnov, Ivan, Sicotte, Hugues , Eckel‐Passow, Jeanette E. , Jenkins, Robert B. , Wrensch, Margaret , Decker, Paul A. , Kosel, Matthew , Lachance, Daniel Honore , Wiencke, John K. , Kollmeyer, Thomas

Genetic Epidemiology | January 1, 2013 | Volume: 37 | Issue: 2 | Pages: 222-228

10.1002/gepi.21707 | PMID 23280628 Get It

Genomewide association studies (GWAS) and candidate‐gene studies have implicated single‐nucleotide polymorphisms (SNPs) in at least 45 different genes as putative glioma risk factors. Attempts to validate these associations have yielded variable results and few genetic risk factors have been consistently replicated. We conducted a case‐control study of Caucasian glioma cases and controls from the University of California San Francisco (810 cases, 512 controls) and the Mayo Clinic (852 cases, 789 controls) in an attempt to replicate previously reported genetic risk factors for glioma. Sixty SNPs selected from the literature (eight from GWAS and 52 from candidate‐gene studies) were successfully genotyped on an Illumina custom genotyping panel. Eight SNPs in/near seven different genes (TERT, EGFR, CCDC26, CDKN2A, PHLDB1, RTEL1, TP53) were significantly associated with glioma risk in the combined dataset (P < 0.05), with all associations in the same direction as in previous reports. Several SNP associations showed considerable differences across histologic subtype. All eight successfully replicated associations were first identified by GWAS, although none of the putative risk SNPs from candidate‐gene studies was associated in the full case‐control sample (all P values > 0.05). Although several confirmed associations are located near genes long known to be involved in gliomagenesis (e.g., EGFR, CDKN2A, TP53), these associations were first discovered by the GWAS approach and are in noncoding regions. These results highlight that the deficiencies of the candidate‐gene approach lay in selecting both appropriate genes and relevant SNPs within these genes.