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1.
Blood Cancer J ; 11(7): 136, 2021 07 30.
Article in English | MEDLINE | ID: mdl-34330895

ABSTRACT

B-cell chronic lymphocytic leukaemia (CLL) is associated with immunosuppression and patients are at increased clinical risk following SARS-CoV-2 infection. Covid-19 vaccines offer the potential for protection against severe infection but relatively little is known regarding the profile of the antibody response following first or second vaccination. We studied spike-specific antibody responses following first and/or second Covid-19 vaccination in 299 patients with CLL compared with healthy donors. 286 patients underwent extended interval (10-12 week) vaccination. 154 patients received the BNT162b2 mRNA vaccine and 145 patients received ChAdOx1. Blood samples were taken either by venepuncture or as dried blood spots on filter paper. Spike-specific antibody responses were detectable in 34% of patients with CLL after one vaccine (n = 267) compared to 94% in healthy donors with antibody titres 104-fold lower in the patient group. Antibody responses increased to 75% after second vaccine (n = 55), compared to 100% in healthy donors, although titres remained lower. Multivariate analysis showed that current treatment with BTK inhibitors or IgA deficiency were independently associated with failure to generate an antibody response after the second vaccine. This work supports the need for optimisation of vaccination strategy in patients with CLL including the potential utility of booster vaccines.


Subject(s)
Antibodies, Viral , Antibody Formation/drug effects , COVID-19 Vaccines , COVID-19 , Immunization, Secondary , Leukemia, Lymphocytic, Chronic, B-Cell , Adult , Aged , Aged, 80 and over , Antibodies, Viral/blood , Antibodies, Viral/immunology , BNT162 Vaccine , COVID-19/blood , COVID-19/immunology , COVID-19/prevention & control , COVID-19 Vaccines/administration & dosage , COVID-19 Vaccines/immunology , Female , Humans , Leukemia, Lymphocytic, Chronic, B-Cell/blood , Leukemia, Lymphocytic, Chronic, B-Cell/immunology , Male , Middle Aged
2.
Diabetologia ; 54(8): 2143-51, 2011 Aug.
Article in English | MEDLINE | ID: mdl-21538175

ABSTRACT

AIMS/HYPOTHESIS: Obesity is a major risk factor for development of insulin resistance, a proximal cause of type 2 diabetes and is also associated with an increased relative risk of Alzheimer's disease. We therefore investigated the susceptibility of transgenic mice carrying human mutated transgenes for amyloid precursor protein (APP (SWE)) and presenilin 1 (PSEN1 (A246E)) (APP/PSEN1), or PSEN1 (A246E) alone, which are well-characterised animal models of Alzheimer's disease, to develop obesity, glucose intolerance and insulin resistance, and whether this was age- and/or diet-dependent. METHODS: We analysed the effects of age and/or diet on body weight of wild-type, PSEN1 and APP/PSEN1 mice. We also analysed the effects of diet on glucose homeostasis and insulin signalling in these mice. RESULTS: While there were no body weight differences between 16-17- and 20-21-month-old PSEN1 mice, APP/PSEN1 mice and their wild-type controls on standard, low-fat, chow diet, the APP/PSEN1 mice still exhibited impaired glucose homeostasis, as investigated by glucose tolerance tests. This was associated with increased brain protein tyrosine phosphatase 1B protein levels in APP/PSEN1 mice. Interestingly, short-term high-fat diet (HFD) feeding of wild-type, PSEN1 and APP/PSEN1 mice for a period of 8 weeks led to higher body weight gain in APP/PSEN1 than in PSEN1 mice and wild-type controls. In addition, HFD-feeding caused fasting hyperglycaemia and worsening of glucose maintenance in PSEN1 mice, the former being further exacerbated in APP/PSEN1 mice. The mechanism(s) behind this glucose intolerance in PSEN1 and APP/PSEN1 mice appeared to involve increased levels of brain retinol-binding protein 4 and basal phosphorylation of S6 ribosomal protein, and decreased insulin-stimulated phosphorylation of Akt/protein kinase B and extracellular signal-regulated kinase 1/2 in the brain. CONCLUSIONS/INTERPRETATION: Our results indicate that Alzheimer's disease increases susceptibility to body weight gain induced by HFD, and to the associated glucose intolerance and insulin resistance.


Subject(s)
Alzheimer Disease/metabolism , Amyloid beta-Protein Precursor/metabolism , Glucose Intolerance/physiopathology , Obesity/metabolism , Presenilin-1/metabolism , Protein Tyrosine Phosphatase, Non-Receptor Type 1/metabolism , Retinol-Binding Proteins, Plasma/metabolism , Ribosomal Protein S6/metabolism , Alzheimer Disease/genetics , Amyloid beta-Protein Precursor/genetics , Animals , Body Weight/genetics , Body Weight/physiology , Brain/metabolism , Disease Models, Animal , Electrophoresis, Polyacrylamide Gel , Humans , Immunoblotting , Mice , Mice, Transgenic , Obesity/chemically induced , Phosphorylation , Presenilin-1/genetics
4.
Hosp Health Netw ; 73(11): 36-3, 40, 42-4, 1999 Nov.
Article in English | MEDLINE | ID: mdl-10633768

ABSTRACT

Cost control, customer service and collaboration among health care sectors rank as top concerns with panelists in H&HN's annual Leadership Report. Efforts to improve community health are a priority, too, but are often frustrated by financial and other constraints. The 16 panelists represent managed care, physicians, and hospitals and health systems.


Subject(s)
Attitude of Health Personnel , Leadership , Community Health Services , Consumer Behavior , Cooperative Behavior , Cost Control , Group Practice/organization & administration , Hospital Administration , Hospital Administrators , Humans , Managed Care Programs/organization & administration , Physician Executives , United States
5.
6.
Compens Rev ; 15(4): 15-31, 1983.
Article in English | MEDLINE | ID: mdl-10310260

ABSTRACT

Benefits administrators--and their employers--can no longer ignore the skyrocketing costs of health care. The wide range of measures explored here for controlling these costs include negotiating with providers, analyzing medical claims, enlisting the aid of employee/patients, structuring benefit programs to eliminate excesses, and setting up wellness programs to alter the lifestyles--smoking, drinking, poor nutrition--that result in crippling, even fatal diseases.


Subject(s)
Cost Control/trends , Health Benefit Plans, Employee/organization & administration , Insurance, Health/organization & administration , Health Expenditures/trends , United States
7.
Appl Microbiol ; 24(3): 358-62, 1972 Sep.
Article in English | MEDLINE | ID: mdl-4562474

ABSTRACT

In a paired, double-blind study, the modified ("Beckford tube") R-B system was compared with conventional bacteriological procedures for the identification of members of the family Enterobacteriaceae from clinical isolates and stock cultures. The tests in the R-B system yielding positive reactions comparable to those predicted by Ewing's taxonomic classification of Enterobacteriaceae were production of hydrogen sulfide and presence of lysine and ornithine decarboxylasè activities. The test reactions in the R-B system found to be comparable to those in the conventional method were fermentation of glucose, hydrogen sulfide production, and lysine and ornithine decarboxylase activities. The production of gas from glucose was positive in the R-B system more often than in the conventional method; however, the motility test and the production of indole were positive less often in the R-B system. Adequate preliminary identification of the Enterobacteriaceae with the R-B system is enhanced if Simmons' citrate and Christensen's urea tests are used concomitantly. These findings emphasize the manufacturer's instructions that, in interpretation of results, colonial morphology and biochemical reactions must be used concurrently to make an accurate identification.


Subject(s)
Bacteriological Techniques , Enterobacteriaceae/classification , Carboxy-Lyases/metabolism , Citrates/metabolism , Clinical Trials as Topic , Culture Media , Enterobacteriaceae/enzymology , Enterobacteriaceae/growth & development , Enterobacteriaceae/metabolism , Evaluation Studies as Topic , Fermentation , Gases/biosynthesis , Glucose/metabolism , Hydrogen Sulfide/biosynthesis , Indoles/biosynthesis , Lactose/metabolism , Lysine , Ornithine , Urea/metabolism
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