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Daclizumab

Daclizumab is a humanized monoclonal antibody that binds to the alpha subunit (CD25) of the interleukin-2 receptor on activated T cells.
It is used to prevent organ rejection in kidney transplantation and to treat relapsing-remitting multiple sclerosis.
PubCompare.ai's cutting-edge AI technology can optimize Daclizumab research by analyzing and comparing published protocols from the literature, preprints, and patents to help researchers find the most effective products and procedures.
This enhances reproducibility and accuracy by locating the best Daclizumab protocols.

Most cited protocols related to «Daclizumab»

We conducted a systematic review of immunomodulatory DMTs for MS. The PubMed search filter “clinical trial” and the key words “multiple sclerosis,” in combination with “interferon” (n = 842), “glatiramer acetate” (n = 192), “fingolimod” (n = 67), “dimethyl fumarate” (n = 18), “teriflunomide” (n = 15), “mitoxantrone” (n = 52), “daclizumab” (n = 29), “natalizumab” (n = 86), “alemtuzumab” (n = 23), “rituximab” (n = 15), “ocrelizumab” (n = 3), “laquinimod” (n = 10), and “siponimod” (n = 1) were used for screening relevant studies. In addition, we searched the public domain (including Clinicaltrials.gov) for non-PubMed sources with complete efficacy data on drugs currently under development. The inclusion criteria for selecting the trials were (1) randomized clinical trial in any MS subtype, (2) double-blinded or rater-blinded trial, (3) trial duration of at least a year (when counted in weeks, at least 48 weeks), (4) comparison between drug and placebo or between a drug and an active comparator (interferon beta), (5) the proportion of patients with confirmed disability progression (CDP; a change in EDSS confirmed in a subsequent follow-up visit after 3 or 6 months) measured in both groups as an outcome in the study, and (6) in trials with two arms, at least one arm of the trial used the FDA-approved dose of the drug (this arm was chosen for the analyses). The PRISMA flowchart (21 (link)) (Figure 1) provides details regarding the disposition of screened studies.
The following information was extracted from each study: author, trial name, year, drug, dose, control group (placebo or active comparator), MS subtype, sample sizes, trial duration, baseline patient characteristics, CDP in each group by the end of the trial, and p-values (Table 1, also see Supplementary Material for an Excel spreadsheet containing all trial data and accompanying calculations). For trials that did not list a hazard ratio, we calculated the percent inhibition of disability progression (%IDP) as follows:
%IDP=(1p^drugp^placebo)×100%
where p^drug represents the proportion of patients from the drug group with CDP, and p^placebo represents the proportion of patients from the comparator group with CDP by the end of the trial. This formula is equivalent to a relative risk reduction, where the ratio between p^drug and p^placebo represents the relative risk of disability progression.
Publication 2017
Alemtuzumab Daclizumab Dimethyl Fumarate Disabled Persons Disease Progression Fingolimod Glatiramer Acetate Immunomodulation Interferon, beta Interferons laquinimod Mitoxantrone Multiple Sclerosis N,N-Dimethyltryptamine Natalizumab ocrelizumab Patients Pharmaceutical Preparations Placebos prisma Psychological Inhibition Public Domain Rituximab siponimod teriflunomide
SELECT data provide the opportunity to evaluate the RD of the MSIS-29 PHYS using several anchors, including EDSS change, SF-12 PCS, EQ-5D, and EQ-5D VAS. Because these anchor instruments are most closely related to the MSIS-29 PHYS, and because most MS disease-modifying therapies slow, but do not reverse, disability progression, only the MSIS-29 PHYS RD for worsening was evaluated using SELECT data. The term ‘responder’ requires some clarification in the context of this analysis. For the study presented here, we use ‘responder’ in the psychometric sense of having a change on the outcome of interest, progression of disability; as opposed to ‘responder’ in the clinical sense of experiencing some improvement in response to a treatment. As data from all subjects in the trial who had confirmed disability progression were treated equally in the estimation of the RD, the treatment effect of DAC HYP did not impact this analysis.
Longitudinal correlation was used to confirm that each of the proposed anchors had good correlation with the MSIS-29 PHYS. Longitudinal correlations of MSIS-29 PHYS change scores with change in EDSS and change scores from the EQ-5D summary health index, EQ-5D VAS, and SF-12 PCS score were examined at each post-baseline time point. Change scores at 12, 24, and 52 weeks identified which measures change together with the MSIS-29, and a change score correlation >0.30 was preferred.25 (link)Patients were dichotomized as responders or non-responders based on the predefined RD of an anchor measure. Responders in this study referred to patients who deteriorated by at least a predefined threshold value of an anchor measure (i.e. their score worsened on the anchor measure; these patients were classified as non-responders in relation to daclizumab treatment). The primary anchor of interest was the EDSS. Sustained disability progression in SELECT could only be confirmed at a scheduled visit during which EDSS assessment was made (i.e. 12, 20, 24, 36, 48, and 52 weeks). However, measurement of MSIS-29 only occurred at pre-specified time points (12, 24, and 52 weeks) that did not always occur simultaneously with confirmation of progression using the EDSS. Therefore, assessment of changes in MSIS-29 scores from baseline used four scenarios: (1) following onset of progression; (2) at or after confirmation of progression; (3) at or before confirmation of progression; and (4) within ±4 weeks of the confirmed progression.
In this analysis, RD was calculated using mean or median change scores in MSIS-29 PHYS scores at 12, 24, and 52 weeks (for the EQ-5D summary health index, EQ-5D VAS, and SF-12 PCS anchors) among patients who met the predefined anchor-specific thresholds for responders (i.e. those with worsening health-related quality of life).
Publication 2014
Daclizumab Disabled Persons Disease Progression Microsatellite Instability Patients Psychometrics
We conducted a retrospective cohort study using prospectively collected clinical information from the Swedish MS Registry (SMSreg). All 64 neurology clinics in Sweden contribute MS-specific clinical information to this resource, which is estimated to capture 80% of all cases of MS in the country.6 (link) Registered cases of definite MS with an onset of disease between January 1, 1975, and December 31, 2014, were included, to allow sufficient follow-up time before the study end date of April 15, 2018. Persons with fewer than 2 Expanded Disability Status Scale (EDSS) measurements on record were excluded. Pediatric-onset cases were defined as those whose MS onset occurred before the age of 18 years, in accordance with the definition proposed by the International Pediatric MS Study Group.7 (link)Information in the SMSreg includes sex, date of birth, date of MS onset and diagnosis, date and reason for withdrawal from registry (i.e., emigration or death), clinical course (relapsing-onset or primary progressive), and geographical region of residence.6 (link) The date of MS onset was defined as the date of first recorded clinical manifestation of MS, and the diagnosis was performed by a neurologist based on the prevailing diagnostic criteria at the time of diagnosis.8 (link)– (link)11 (link) The SMSreg is a Quality Register that is routinely assessed for accuracy, such that if a person is found to be misdiagnosed, they are removed from the Registry. Detailed information on disease-modifying therapy (DMT) use (product name, start and stop dates), relapses (date of onset and complete remission [complete clinical recovery within 6 months] or incomplete remission), and EDSS scores were prospectively recorded by the treating neurologist. Three distinct endpoints were analyzed: time to EDSS 3 (moderate disability, though fully ambulatory), EDSS 4 (limited walking ability, but able to walk more than 500 m without aid or rest), and EDSS 6 (ability to walk with unilateral support no more than 100 meters without rest). The local Multiple Sclerosis Severity Score (MSSS)12 (link) was also calculated to compare disease severity at the first recorded EDSS between groups. DMTs were categorized as first- or second-line based on the prescribing guidelines in Sweden. First-line therapies included interferon-β, glatiramer acetate, teriflunomide, and dimethyl fumarate. Second-line therapies included fingolimod, daclizumab, rituximab, mitoxantrone, and natalizumab. Average annualized relapse rates were calculated for individuals in the first 5 years of disease (from MS onset). CSF results are recorded prospectively in the SMSreg, and were assessed for the cases of pediatric-onset MS who were identified as progressive from onset. Follow-up extended from birth or MS onset until the last available EDSS score prior to emigration, death, or the study end date, whichever came first.
Publication 2019
Childbirth Daclizumab Diagnosis Dimethyl Fumarate Disabled Persons Fingolimod Glatiramer Acetate Interferon, beta Mitoxantrone Multiple Sclerosis N,N-Dimethyltryptamine Natalizumab Neurologists Relapse Rituximab teriflunomide
We tested PMI Intact
on data from properdin
and the three antibodies daclizumab, infliximab, and cetuximab. Experimental
high-resolution native MS data from our laboratory was already published
for properdin16 (link) and therefore represented
an ideal test-case to demonstrate the power of this new algorithm.
The three antibodies were chosen because they presented interesting
analytical challenges due to their complex glycosylation profiles
or extensive protein processing characteristics. We benchmarked PMI
Intact against Protein Deconvolution 4.0 (Thermo Fisher Scientific)
on the properdin data using identical m/z and mass ranges for the two programs. For PTM composition analysis,
data were interpreted manually and glycan structures were deduced
based on known biosynthetic pathways. Average masses were used for
the PTM assignments, including hexose/mannose/galactose (Hex/Man/Gal,
162.1424 Da), N-acetylhexosamine/N-acetylglucosamine (HexNAc/GlcNAc/GalNAc, 203.1950 Da), and N-acetylneuraminic acid (NeuAc, 291.2579 Da). All used symbols
and text nomenclature are according to recommendations of the Consortium
for Functional Glycomics.
Publication 2018
Acetylglucosamine Antibodies Biosynthetic Pathways Cetuximab Daclizumab Galactose Hexoses Infliximab Mannose N-Acetylneuraminic Acid Polysaccharides Properdin Protein Glycosylation Proteins
The immunomagnetic separation was carried out as described in [19] (link) and will only be briefly summarized here. An overall view of the separation process is shown in Figure 2. Red blood cells in the samples were lysed by mixing the sample with lysis buffer (154 mM NH4Cl, 10 mM KHCO3, 0.1 mM EDTA) at a ratio of 1∶25, incubating it for 5 min at room temperature, and then pelleting the remaining blood cells at 350× g for 5 min. This cell pellet, consisting mostly of nucleated cells, was then labeled with 0.5 microliter of anti-CD45 TAC per 1 million cells for 30 min at room temperature on a shaker. Without washing the cells, 1 microliter per 1 million cells of the magnetic nanoparticles were added to the cell suspension and incubated for 15 min at room temperature on a shaker. The immunomagnetically labeled cell suspension was subsequently diluted with 5 to 10 mls of buffer and run through the deposition Magnetic Sorter system to obtain an enriched sample.
The final cell suspension, which had passed through the magnetic sorter, was then measured for volume and the cell suspension was split into two aliquots; one of which was subsequently subjected to cell lysis and RNA preservation procedures and the other either directly cytospun for analysis or preserved with 10% neutral buffered formalin for later concentration and ICC analysis. Final cell numbers were obtained by diluting 10 microliters of the enriched cell suspension in 3% acetic acid (1∶10 dilution) and counting the number of total cells present using a hemocytometer.
Publication 2012
Acetic Acid Blood Cells Cells Daclizumab Edetic Acid Erythrocytes Formalin Immunomagnetic Separation PER1 protein, human potassium bicarbonate Technique, Dilution

Most recents protocols related to «Daclizumab»

Example 8

Antibody competitions were performed on a Forte Bio Octet® Red96 system (Pall Forte Bio Corp., USA) using a standard sequential binding assay. 26.8 nM recombinant human CD25his tagged was loaded onto Ni-NTA Biosensors for 200s. After base line step on kinetic buffer sensors were exposed to 66.6 nM of first antibody for either 600s or 1800s followed by a second anti-CD25 antibody (also at 66.6 nM for either 600s or 1800s). Data was processed using Forte Bio Data Analysis Software 9.0. Additional binding by a second antibody indicates an unoccupied epitope (no competition for the epitope), while no binding indicates epitope blocking (competition for the epitope).

Results

Non blockers of IL-2 signal mAbs (Antibody 1 and Antibody 3) compete with each other or with 7G7B6 and MA251 while they do not compete with research Daclizumab or research Basiliximab (examples (A) to (N), FIG. 24). IL-2 signalling blockers (i.e. TSK031) do compete with the research Daclizumab and research Basiliximab and do not compete with 7G7B6 (examples (O) to (Q), FIG. 24).

Patent 2024
Antibodies, Anti-Idiotypic BaseLine dental cement Basiliximab Biological Assay Biosensors Buffers Daclizumab Epitopes Homo sapiens IL2RA protein, human Immunoglobulins Kinetics Monoclonal Antibodies
We calculated the needed sample size using G*Power 3.1 software [66 (link)]. Experiment 1 investigated whether anti-phase alpha-tACS and in-phase alpha-tACS would induce different behavioral and electrophysiological effects. Based on the medium or large effect sizes reported in previous studies that used NIBS to modulate parietal alpha oscillations and WM [48 (link),50 (link)], a medium effect size (Cohen’s d = 0.5) was assumed. Thus, a sample size of 34 participants was needed to detect a reliable effect with a statistical power of 80% and an alpha probability of 0.05 in a two-tailed paired t-test.
A total of 48 healthy participants between the ages of 18 and 40 completed Experiment 1. All participants were right-handed and reported no metal implants in the brain, no implanted electronic devices, no history of neurological problems or head injury, no current use of psychoactive medication, no history of craniotomy, and no skin sensitivity; the participants were nonpregnant, had normal or corrected-to-normal visual acuity, and were not enrolled in any other NIBS research within 3 months of their study participation. Participants who failed to follow directions or did not understand instructions were removed from the study. All participants were recruited in Hefei, China through advertisements or posters. Eight participants were excluded from the analyses due to poor EEG signals or malfunctions of the tACS stimulator to trigger the intended electrical stimulation. One participant whose alpha activity was too weak for detection and who therefore had to repeat the Baseline Sternberg task 3 times per session was also excluded. The remaining 39 participants (19 females, mean age ± SD:21.1 ± 2.2 years, mean education ± SD:14.7 ± 1.8 years) were included for behavioral and EEG analyses, which meets the sample size requirement.
Publication 2023
Brain Craniocerebral Trauma Craniotomy Daclizumab Debility Females Healthy Volunteers Hypersensitivity Medical Devices Metals Precipitating Factors Psychotropic Drugs Skin Stimulations, Electric Visual Acuity
In Experiment 1, participants attended 3 sessions, 1 for each of the 3 distinct tACS conditions (in-phase tACS, random-phase tACS, or anti-phase tACS) were applied (Fig 3D). The order of tACS conditions was counterbalanced across participants (Fig 3B). The 3 sessions of each participant were all separated by at least 3 days and performed at approximately the same time of the day. The experimental procedures for each session are as follows (Fig 3C).
At the start of each session, participants first completed 32 practice trials of the Sternberg task (Fig 3A). Following this practice, participants performed a total of 300 trials of the Sternberg task divided into 5 sets.
In the first 60 trials (“Baseline”), spontaneous EEG signals were recorded for 2.5 s in each trial, starting from the beginning of a retention subprocess. Following the Baseline trials, the IAF and the threshold were calculated from the Baseline EEG data at the Pz electrode (see more details in S1 Text: “1.2. IAF and threshold determination”). The IAF was used as the subsequent tACS frequency for this session. The threshold was set to restrict the application of tACS to when parietal alpha activity is prevailing to be detected.
Then, participants performed 180 tACS-EEG trials (“Online tACS”) while performing the Sternberg task. In each trial, EEG data at the Pz electrode was monitored continuously once the retention subprocess began. The online phase-corrected tACS was triggered when the amplitude of endogenous alpha oscillations exceeded the threshold twice in a row (see more details in S1 Text: “1.1. The details of online phase-corrected tACS system”). Each tACS application lasted for 0.8 s. Once stimulation was triggered, the EEG recordings stopped to avoid tACS artifacts. When the retention subprocess of the next trial began, EEG recordings restarted and the aforementioned process was again used to determine whether and when tACS was triggered. After Online tACS, participants filled out a tACS sensation questionnaire to assess tACS-induced discomfort (see more details in Blinding section).
Following Online tACS, participants completed the final 60 trials of the Sternberg task, while EEG data were recorded during the retention subprocesses (“Offline tACS”).
Publication 2023
A 300 Daclizumab Retention (Psychology)
The EEG data obtained during Online tACS were epoched first. As the time to trigger electrical stimulation in the retention subprocess was different across trials, the lengths of epochs for different trials were also different. The epochs of the trials with wrong responses in the Sternberg task were deleted. The detrending was then performed to remove DC offsets and slow drifts (<1 Hz). The ocular artifacts were then eliminated using an independent component analysis approach (implemented in EEGLAB) [72 (link)]. Epochs with residual ocular or other artifacts were removed through visual inspection of the data. As the epoch numbers and the length of epochs obtained from the 3 tACS conditions were quite different, it was necessary to balance the epoch numbers and epoch lengths of the 3 tACS conditions. Thus, for each participant, we deleted the shortest epochs in the 2 tACS conditions with more epochs so that the epoch numbers were the same as the tACS condition with the minimum number of epochs. Next, the epochs in each tACS condition were sorted by the epoch length in an ascending order. For the 3 epochs with the same order in epoch length among the 3 tACS conditions, we discarded the tail EEG data of the 2 longer epochs to make the epoch length the same across the 3 tACS conditions. For example, we assume that the epoch length of the longest epoch for the in-phase tACS, anti-phase tACS, and random-phase tACS was 1.8 s, 1.6 s, and 1.5 s, respectively. The 0.2 s EEG data at the end of the in-phase epoch and the 0.1 s EEG data at the end of the anti-phase epoch would be deleted.
The Baseline and Offline EEG data were also epoched first, and the epoch length for all Baseline and Offline epochs was 2.5 s. We matched the Baseline and Offline epoch lengths with those during Online tACS. For every participant and every condition, the epoch lengths during Online tACS were randomly assigned to the epochs at Baseline and during Online tACS. To make the epoch length consistent with the assigned length, the EEG data at the end of each epoch was deleted according to the assigned length. For example, assuming that the assigned length of a Baseline epoch was 1.5 s, the 1 s EEG data at the end of the epoch would be deleted. Then, the preprocessing for Baseline and Offline EEG data was the same as the aforementioned preprocessing for the Online EEG data.
After preprocessing, the mean and standard deviation of the number of trials across participants for Baseline, Online tACS, and Offline tACS were 47.51 ± 3.77 (range, 42 to 54), 141.97 ± 11.60 (range, 110 to 165), and 47.59 ± 5.39 (range, 39 to 56) respectively.
Publication 2023
Daclizumab EPOCH protocol Precipitating Factors Retention (Psychology) Stimulations, Electric Tail Vision
Eligible participants were male and female individuals aged 18 to 60 years diagnosed with RRMS, as defined by the revised 2010 McDonald criteria.25 (link) At screening, inclusion criteria included 1 or more documented relapse within the previous year and either 1 or more gadolinium-enhancing T1-weighted or 9 or more T2-weighted brain lesions on MRI and a Kurtzke Expanded Disability Status Scale (EDSS) score of 0 to 5.0 (inclusive).26 (link)Eligible participants included those undergoing and not undergoing disease therapy. The use of corticosteroids for 3 to 5 days to treat relapses and symptomatic MS, if they were stable for at least 3 months before screening, was also allowed as concomitant therapy during the study. However, patients who exhibited a relapse within the 30 days before screening and until administration of the first dose of the study drug were excluded.
Progressive multifocal leukoencephalopathy (PML), a rare, potentially fatal, demyelinating disease of the central nervous system arising from infection with the John Cunningham human polyomavirus (JCV), is a known safety concern associated with some DMTs, notably ref-NTZ.18 ,27 (link),28 (link),29 (link) Key exclusion criteria therefore included JCV index more than 1.5 at screening and past or current PML diagnosis, as well as prior treatment with natalizumab, alemtuzumab, ocrelizumab, daclizumab, rituximab, cladribine, or other B- and T-cell–targeting therapies.
Patients positive for low-titer JCV (JCV index <1.5) were included in the study as the level of PML risk in patients who did not previously receive immunosuppressive therapies could be quantified by association with the anti-JCV antibody index.30 (link) Detailed exclusion criteria can be found in the trial protocol in Supplement 1.
Publication 2023
Adrenal Cortex Hormones Alemtuzumab Antibodies, Anti-Idiotypic Brain Cell Therapy Central Nervous System Diseases Cladribine Daclizumab Diagnosis Dietary Supplements Disabled Persons Gadolinium Homo sapiens Immunosuppression Inclusion Bodies Leukoencephalopathy, Progressive Multifocal Males N,N-Dimethyltryptamine Natalizumab ocrelizumab Patients Polyomavirus Infections Relapse Rituximab RNA Recognition Motif Safety Woman

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Thymoglobulin is a polyclonal antithymocyte globulin (ATG) product developed by Sanofi. It is a sterile, purified, and concentrated immunoglobulin preparation derived from the plasma of horses immunized with human thymocytes. Thymoglobulin is used as an immunosuppressant to prevent and treat acute rejection in organ transplantation.
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IL-2 is a cytokine that plays a crucial role in the regulation of the immune system. It is a protein produced by T-cells and natural killer cells, and it is essential for the activation, proliferation, and differentiation of these cells. IL-2 is an important component in various immunological processes, including the promotion of T-cell growth and the enhancement of the cytolytic activity of natural killer cells.
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Daclizumab is a laboratory product manufactured by Roche. It is a monoclonal antibody that binds to the CD25 subunit of the interleukin-2 (IL-2) receptor, which is expressed on activated T cells. Daclizumab is used in research applications to study immune system function and regulation.
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More about "Daclizumab"

Daclizumab, a humanized monoclonal antibody, binds to the CD25 subunit of the interleukin-2 (IL-2) receptor on activated T cells.
It is used to prevent organ rejection in kidney transplantation and to treat relapsing-remitting multiple sclerosis (RRMS).
PubCompare.ai's cutting-edge AI technology can optimize Daclizumab research by analyzing and comparing published protocols from the literature, preprints, and patents to help researchers find the most effective products and procedures.
This enhances reproducibility and accuracy by locating the best Daclizumab protocols.
Zenapax, the brand name for Daclizumab, is a similar humanized monoclonal antibody that targets the IL-2 receptor.
Simulect (basiliximab) and Thymoglobulin (antithymocyte globulin) are other immunosuppressant medications used in organ transplantation.
FACSCanto is a flow cytometry instrument that can be used to analyze Daclizumab's effects on T cells and other immune cells.
The anti-CD25 antibody JES6-1A12 is a related reagent that can be used to study the IL-2 receptor.
Bovine serum albumin (BSA) is a common protein used in cell culture and immunoassays.
The LIVE/DEAD Fixable Aqua Dead Cell Stain Kit can be used to identify viable cells during flow cytometry analysis.
Interleukin-2 (IL-2) is a key cytokine that promotes T cell activation and proliferation.
Daclizumab's mechanism of action involves blocking IL-2 signaling, which can modulate the immune response.
The transcription factor Foxp3 is a marker of regulatory T cells, which play a role in immune regulation and may be affected by Daclizumab treatment.
By leveraging PubCompare.ai's AI-driven protocol comparisons, researchers can enhance the reproducibility and accuracy of their Daclizumab studies, leading to more robust and reliable results.