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Tofacitinib

Tofacitinib is a Janus kinase (JAK) inhibitor used to treat rheumatoid arthritis, psoriatic arthritis, and ulcerative colitis.
It works by blocking the activity of one or more of the Janus family of protein tyrosine kinases (JAK1, JAK2, JAK3, TYK2), which mediate the signaling of a number of cytokines and growth factors important for hematopoiesis and immune function.
Tofacitinib has been shown to reduce inflammation and improve symptoms in patients with these autoimmune disorders.
It is available in oral formulations and is generally well tolerated, though side effects can include increased risk of infections, elevated cholesterol, and gastrointestinal disturbances.
Careful monitoring is required during treatment with tofacitinib to manage potential adverse events.

Most cited protocols related to «Tofacitinib»

The guideline is of relevance to adults aged 16 years and over and was developed according to Grading of Recommendations Assessment, Development, and Evaluation (GRADE) methodology,2 (link) in accordance with the principles of the AGREE II tool,3 (link) and in compliance with the BSG Guidelines Advice Document.4 The completed document was formally peer reviewed by the BSG CSSC and BSG Council prior to submission for publication. The guideline writing process was supported by regular consultation from Professor Cathy Bennett (Systematic Research Ltd and Royal College of Surgeons in Ireland (RCSI)) and used a bespoke online platform developed by Dr Stuart Gittens (ECD Solutions: https://www.guideline.pub/bsg-ibd/) to develop clinical questions structured by Population, Intervention, Comparator and Outcome (PICO) or Population, Exposure, Outcome (PEO) development, to assimilate evidence and to facilitate voting of draft statements and recommendations using a modified eDelphi process.
After commissioning of the guideline by the BSG CSSC, a Guideline Development Group (GDG) was convened by the Chair of the IBD Section Committee of the BSG (ABH). A GDG Lead (CAL) and conflicts of interest Chair (TI) were appointed. Key Stakeholders from the following groups were represented: British Society of Gastroenterology (BSG), Association of Coloproctology of Great Britain and Ireland (ACPGBI), Royal College of Nursing (RCN), British Society of Paediatric Gastroenterology, Hepatology and Nutrition (BSPGHAN), British Dietetic Association (BDA), British Society of Gastrointestinal and Abdominal Radiology (BSGAR), and the Primary Care Society for Gastroenterology (PCSG). Patient representation was provided by Crohn’s and Colitis UK.
Members of the BSG IBD Section Committee were invited to take part in the GDG along with external clinicians with relevant experience. The GDG and all conflicts of interest for 12 months preceding GDG formation were vetted and approved by the BSG CSSC.
Clinical priorities to be covered by the guideline were set by the GDG including:

Definitions, clinical features and diagnosis

Investigations including imaging

Treatment of active UC including surgery and acute severe UC (ASUC)

Pouchitis management

Treatment of active Crohn’s disease (ileal, ileocolonic, colonic, jejunal, upper GI, perianal)

Maintenance treatment of Crohn’s disease

Surgery for Crohn’s disease (including non-perianal fistulising disease)

Common considerations for drug groups to include mesalazines, corticosteroids, thiopurines, methotrexate, ciclosporin, anti-TNF, vedolizumab, ustekinumab, tofacitinib and antibiotics

Therapeutic monitoring including drug levels and drug toxicity/immunogenicity, and pre-treatment infection screening and vaccination

Non-drug therapies including leucocyte apheresis and stem cell transplantation

Nutrition and dietary therapy

Lifestyle factors including smoking

Pain and fatigue

Psychological aspects

Service delivery

Primary care management of IBD

Where substantial up-to-date guidance existed on special circumstances—for example, pregnancy, osteoporosis, iron deficiency, immunosuppression in the context of prior malignancy or histology—extensive systematic review would not be performed but summary data would be presented to encourage best practice with referencing to signpost other guidance. Guidance for surgical technique in IBD would not be extensively covered due to a concurrent guideline development process in this area led by the ACPGBI.5 (link) Health economics and costs of drugs would not be assessed as part of the guideline, although cost would be mentioned as an important consideration when there is a choice of treatments.
A clinical framework was then designed to visually map and group patient management decisions and influencing clinical factors, including disease location and severity. Sub-categorisations were made to identify aspects pertinent to pharmacological and non-pharmacological intervention, nutrition, imaging, surgery, primary care and service delivery. Four working groups were formed (led by NAK, TR, PH and PJS alongside CAL and ABH) to draft and develop a list of key thematic and sub-thematic clinical questions grouped into sections defined by the clinical framework that face IBD clinicians in everyday healthcare practice. These clinical questions were circulated to all stakeholder groups for review by members outside the GDG to ensure all relevant areas of clinical practice were covered. Following stakeholder review, the list was further developed producing 54 thematic questions with 360 associated clinical questions grouped around these themes (see online supplementary appendix 1).
Next, the clinical questions were further revised, refined and combined with the thematic questions in order to design the systematic review. Keyword tables derived from these questions and formulated according to PICO or PEO structure were generated on the online platform, and structured searches of electronic literature databases were performed. The literature searches were designed, run in electronic databases and exported to Endnote reference managing software, supported by information specialists at York Health Economics Consortium. Searches of the Medline and EMBASE databases were performed in March 2017 and updated in March 2018. No date or study design limits were incorporated into searches in order to return all available evidence, including conference proceedings (although conference proceeding returns were limited to 5 years preceding the date of search). The search strategy used is presented in online supplementary appendix 2. In this way, systematic literature searches and reviews were undertaken to identify and synthesise evidence to support the creation of statements with supporting narrative syntheses of evidence. A total of 87 959 references were returned after deduplication from these searches. Focused top-up searches using keywords were performed until June 2019 to ensure evidence was up to date at the time of submission for publication. GDG members were able to also propose papers or electronic documents (eg, NICE guidance) for inclusion in the literature databases throughout the guideline development process. In this manner an additional 288 entries were added to the reference library to make a total of 88 247. References were cross-searched both manually using keywords and Boolean operators, and using a bespoke programmatic algorithm (the latter cross-referencing content of abstract, title and keywords with contents of PEO and PICO tables), both facilitated by the online platform. Literature was assessed according to the pre-designed PEO and PICOs, and abstracts±full text assessed for relevance and quality. Evidence-based evaluative text and associated reference lists were developed along with draft statements and grouped/archived in a customised electronic database. Statements considered potential health benefits, side effects and risks of recommendations to patients, as well as cost and service implications. Full economic analyses were not undertaken.
Following statement revision by the GDG according to Delphi methodology, an ‘IBD guidelines eDelphi consensus group’ of 81 clinicians and patients was formed consisting of representatives invited from all stakeholder groups listed above, and all members of the GDG except CB and SG who did not vote. A modified eDelphi mechanism process, employing the online platform, was then used to produce an evidence-based consensus, following a NICE accredited methodology. This consisted of three main rounds of anonymous web-based voting, using a custom-built online voting platform scoring each using a 5-point scale with updated iterations of the statements and evaluative text based on feedback after each round.
Following two rounds of anonymised voting, statements conforming to PICO/PEO which achieved consensus of 80% agreement or higher were categorised according to the GRADE system for grading quality of evidence and strength of recommendations. Assessments were made independently by two members of the GDG (blinded to one another’s assessment) using a custom-built electronic database by NAK in REDCap6 (link) (at https://surveys.exeteribd.org.uk/). All assessments were reviewed and where necessary moderated by CAL and ABH to determine agreement. To assess the quality of evidence for each statement, each member considered study type, risk of bias, inconsistency, indirectness, imprecision, publication bias, effect size, plausible confounding variables and dose–response gradient if applicable. The quality of evidence ranged from ‘high’ (further research is very unlikely to change confidence in the estimate of effect), ‘moderate’ (further research is likely to have an important impact on confidence in the estimate of effect and may change the estimate), ‘low’ (further research is very likely to have important impact on confidence in the estimate of effect and is likely to change the estimate), and ‘very low’ (any estimate of effect is very uncertain). The strength of recommendation was assessed based on considerations of desirable and undesirable anticipated effects, the certainty of the evidence of effects, any important uncertainty about or variability in how much people value the outcome, whether the balance of these effects favours the intervention or comparison, the acceptability of intervention to key stakeholders and feasibility of intervention implementation. The strength of each recommendation was then recorded as ‘strong’ (meaning that benefits clearly outweigh risks and burdens or vice versa) and conditional recommendations as ‘weak’ (where benefits, risks and burdens are conditional, closely balanced or uncertain).
Where statements did not conform to PICO/PEO (such as subjective interventions or where outcomes were multiple) and evidence was indirect or of low quality, recommendations to inform clinical practice were presented as Good Practice Recommendations and listed separately to GRADE recommendations, but still underwent consensus voting.
The GDG voted on all statements and Good Practice Recommendations, and other eDelphi participants voted on one of three subsets of statements and Good Practice Recommendations in order to ensure adequate numbers of responses were obtained for each, that expertise was equally distributed across subject areas and that surgeon members of the group voted on all surgical-related topics. The total number of respondents per statement and recommendation are presented in online supplementary table 3. Statements and recommendations not reaching 80% consensus agreement following three rounds of voting were removed and are presented in online supplementary appendix 3.
Publication 2019
Each tofacitinib/JAK complex was prepared by all-atom MD simulations
with three different initial velocities using the pmemd CUDA in AMBER1645 (link) in periodic boundary conditions with the isobaric-isothermal
(NPT) ensemble. Details of simulations were as described for other
biological systems.46 (link)−48 (link) The FF14SB49 (link) and GAFF50 (link) force fields were applied for protein and tofacitinib,
respectively. To generate the partial charges of inhibitor, the 3D
structure of tofacitinib was optimized by the HF/6-31(d) level of
theory as per previous studies51 (link)−53 (link) using the Gaussian09 program.54 The electrostatic potential (ESP) charges and
restrained ESP (RESP) charges of the ligand were generated using parmchk
of AMBER16. The systems were soaked in the boxes of explicit water
using the TIP3P model (∼10 750 molecules for JAK1, ∼10 696
molecules for JAK2, and ∼10 439 molecules for JAK3).
The time step was set as 2 fs at a constant pressure of 1 atm.55 (link) The short-range cutoff of 12 Å was used
for nonbonded interactions, while long-range electrostatic interactions
were treated by Ewald’s method.56 (link) Temperature and pressure were controlled by the Berendsen algorithm.57 (link) The SHAKE algorithm was used to constrain all
covalent bonds involving hydrogen atoms.58 (link) The simulated models were heated up to 310 K with the relaxation
time for 100 ps. The temperature was controlled by a Langevin thermostat
with a collision frequency of 2.0 ps. Finally, the unrestrained NPT
simulation was performed for 500 ns. The MD trajectories were recorded
every 500 steps for analysis. The RMSD analysis of each system was
performed using all atoms. The intermolecular HB occupation, SASA,
the number of contacts, and the motion of proteins were evaluated
using the CPPTRAJ module.59 (link) Besides, the
MM-PB(GB)SA and QM/MM-GBSA ΔGbind and ΔGbind,residue were calculated
by the MM/PBSA.py module.60 (link) Note that in
the QM/MM approach, tofacitinib was quantum-mechanically treated by
the semiempirical method PM3 and the self-consistent-charge density-functional
tight-binding method (SCC-DFTB),61 (link) whereas
the remaining region was described by molecular mechanics using the
FF14SB force field. The same sets of MD snapshots were used to predict
the ΔGbind based on the solvated
interaction energy (SIE) method.62 (link) SIE
is an end-point physics-based scoring function for predicting binding
affinities in aqueous solution, which is calculated by an interaction
energy contribution, desolvation free energy contribution, electrostatic
component, and nonpolar component.62 (link)
Publication 2020
Electrostatics Familial Mediterranean Fever Hydrogen JAK3 protein, human Janus Kinase 1 Janus Kinase 2 Ligands Mechanics Motility Proteins poly(tetramethylene succinate-co-tetramethylene adipate) Pressure Proteins Respiratory Rate Sasa tofacitinib Tremor
Quantitative reverse-transcriptase–polymerase-chain-reaction, cytokine, protein, and gene-expression analyses were performed according to standard procedures and are described in the Supplementary Appendix, available with the full text of this article at NEJM.org. Constructs of mutated TMEM173 (V147L, N154S, V155M, and V155R) and nonmutated TMEM173 were transfected into a STING-negative cell line (HEK293T cells) and stimulated with the STING ligand cyclic guanosine monophosphate–adenosine monophosphate (cGAMP [3′3′-cGAMP, Invivogen]).
When possible, we obtained blood and tissue samples from the study participants to assess activation and cell death of peripheral-blood cells. Tissue blocks from skin biopsies (in five patients), samples from lung biopsies (in two), and slides of a sample from a previous muscle biopsy (in one) were obtained and analyzed. Dermal fibroblast lines were obtained from two patients, four healthy controls, and three controls with the CANDLE syndrome. Primary endothelial cells were stimulated with the STING ligand cGAMP.
CD4 T cells and CD19 B cells from Patients 4 and 6 were treated for 4 hours with one of three Janus kinase (JAK) inhibitors — tofacitinib (1 μM), ruxolitinib (100 nM), or baricitinib (200 nM) — to assess their ability to block phosphorylation of the signal transducers and activators of transcription 1 (STAT1) and 3 (STAT3). Fibroblasts from Patient 1 and healthy controls were stimulated with 500 ng of cGAMP per milliliter and were also treated with 0.1 or 1.0 μM tofacitinib. We assayed the suppression of the gene encoding interferon-β (IFNB1) and other interferon-induced genes (CXCL10, MX1, and OAS3). Additional details are provided in the Supplementary Appendix.
Publication 2014
B-Lymphocytes baricitinib Biopsy BLOOD Blood Cells Cardiac Arrest CD4 Positive T Lymphocytes Cell Death Cell Lines Cells cyclic guanosine monophosphate-adenosine monophosphate Cytokine Endothelial Cells Fibroblasts Gene Expression Profiling Genes Interferon, beta Interferons Kinase Inhibitor, Janus Ligands Lung Muscle Tissue Patients Phosphorylation Proteins Reverse Transcriptase Polymerase Chain Reaction ruxolitinib Skin STAT3 Protein Suppression, Genetic Syndrome Tissues tofacitinib Transcription, Genetic Transducers
Patients entering the study were ≥18 years of age and fulfilled the modified New York (mNY) criteria for AS, confirmed by centralised reading of sacroiliac (SI) radiographs. Patients had active disease based on Bath AS Disease Activity Index (BASDAI) score ≥4 and back pain score ≥4 and history of either inadequate response to ≥2 oral NSAIDs or intolerance to prior NSAIDs. Patients with C reactive protein (CRP) levels within the normal reference range and those with active arthritis, enthesitis or psoriasis could be enrolled, provided mNY criteria for AS were met. Patients were permitted to continue concurrent treatment with methotrexate, sulfasalazine and stable oral corticosteroids (<10 mg/day of prednisone or equivalent). No eligibility criteria relating to MRI were specified. Exclusion criteria (see online supplementary section 1) included current or prior biological DMARD treatment and evidence of active, latent or inadequately treated tuberculosis infection.
Patients were recruited at 58 centres globally (see online supplementary section 2). The study was conducted in accordance with applicable legal and regulatory requirements, and the general principles set forth in the International Ethical Guidelines for Biomedical Research Involving Human Subjects, International Conference on Harmonisation Guidelines for Good Clinical Practice and the Declaration of Helsinki. All patients provided written informed consent. Institutional review boards or independent ethics committees at each investigational centre approved the study.
Publication 2017
3'-O-methyl-nordihydroguaiaretic acid Adrenal Cortex Hormones Anti-Inflammatory Agents, Non-Steroidal Antirheumatic Drugs, Disease-Modifying Arthritis Back Pain Bath Biopharmaceuticals Conferences C Reactive Protein Eligibility Determination Ethics Committees Ethics Committees, Research Methotrexate Patients Prednisone Psoriasis Sulfasalazine Tuberculosis X-Rays, Diagnostic
The pretreatment and surgical procedures for oral and intravenous administration were similar to those described previously [10 (link),11 (link)]. For oral administration, the rats were fasted overnight with free access to water. The rats were anesthetized with ketamine (200 mg/kg), and their carotid arteries were cannulated using polyethylene tubing (Clay Adams, Parsippany, NJ, USA) for blood sampling. For intravenous administration, the rats were anesthetized with ketamine (200 mg/kg), and their jugular veins and carotid arteries were cannulated for drug administration and blood sampling, respectively. Rats were allowed to recover for 4–5 h after surgical procedures. The rats were not restrained during the experimental period and had free access to water and food.
For intravenous administration, tofacitinib, dissolved in 0.9% NaCl-injectable solution containing 0.5% β-cyclodextrin, was injected via the jugular vein for 1 min at doses of 5 (n = 9), 10 (n = 8), 20 (n = 7), and 50 (n = 7) mg/kg. Blood samples (110–220 μL) were collected via the carotid artery at times 0 (prior to drug administration), 1 (at the end of drug infusion), 5, 15, 30, 45, 60, 90, 120, 180, 240, 360, 480, and 600 min. The total amount of blood collected from each rat did not exceed 10% of the total blood volume during the entire experimental period so as not to alter the pharmacokinetics and physiological functions. These blood samples were immediately centrifuged at 8000× g for 10 min, and plasma was collected and stored at −80 °C until HPLC analysis of tofacitinib [12 ]. To prevent blood clotting, 0.3 mL of heparinized 0.9% NaCl-injectable solution (20 IU/mL) was immediately injected into the carotid artery after each blood sampling. Urine samples were collected over 24 h; in addition, each metabolic cage was rinsed with 20 mL of distilled water 24 h after drug administration, and the rinses were combined with their corresponding 24-h urine samples. The volumes of the combined urine samples were measured, and two 100 µL aliquots of each were stored at −80 °C until HPLC analysis of tofacitinib [12 ]. At 24-h, each rat was exsanguinated, followed by cervical dislocation. The abdomen of each rat was opened and the entire gastrointestinal tract, including its contents and feces, was removed, transferred to a beaker containing 50 mL methanol, and cut into small pieces using scissors. The contents of each beaker were stirred manually with a glass rod for 1 min, and two 100 μL aliquots of each supernatant were collected and stored at −80 °C until HPLC analysis of tofacitinib [12 ].
For oral administration, approximately 1.0 mL tofacitinib was administered to rats at doses of 10 (n = 7), 20 (n = 8), 50 (n = 9), and 100 (n = 7) mg/kg. Blood samples (110–220 μL) were collected via the carotid artery at times 0 (prior to drug administration), 5, 15, 30, 45, 60, 90, 120, 180, 240, 360, 480, 600, and 720 min. Urine and gastrointestinal tract samples were also obtained over 24 h were processed as described above for the corresponding samples collected after intravenous administration.
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Publication 2019

Most recents protocols related to «Tofacitinib»

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Publication 2024
The concentration of tofacitinib in the perfusion buffers was measured via LC-MS/MS. For the calibration curve (concentration range between 0 and 200 nM), the stock solution was diluted in 75 % MeOH and 10 µl of this diluted standard was added to 40 µl of perfusion buffer. Acetonitrile (150 µl) with 1 % formic acid was added to both calibration curve samples and 50 µl perfusion samples. After vortexing and centrifuging, the supernatant was transferred into vial and 1 µl was injected into the LC-MS/MS system that consisted of an Acquity UPLC (Waters, Milford, MA, USA) coupled to a Xevo TQ-S micro (Waters) triple quadrupole mass spectrometer. The tofacitinib was separated using an Acquity UPLC BEH column (Waters, 2.1 x 50 mm, 1.7 µm. The mobile phase consisted of solvent A (0.1 % formic acid in water) and solvent B (0.1 % formic acid in MeOH). Separation was achieved at a flow rate of 300 µl/min under the following gradient conditions: 0 min 95 % eluent A, 2.5 min 50 % eluent A, 4 min 0 % eluent A, 5 min 95 % eluent A. The effluent from the UPLC was passed directly into the electrospray ion source. Positive electrospray ionization was achieved using nitrogen as a desolvation gas with ionization voltage at 2000 Volt. The source temperature was set at 500 °C and argon was used as collision gas. The following SRM transitions were used: m/z 313.10 (parent ion) to m/z 149.01 and m/z 97.90 (product ions).
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Publication 2024
Based on the evidence from in vivo experiments demonstrating that baohuoside I inhibits tofacitinib metabolism, we aimed to investigate the inhibitory effects of baohuoside I in vitro. RLMs were prepared and the inhibitory effect of baohuoside I on tofacitinib metabolism was assessed using methods similar to those previously described.15 (link) The volume of incubation system was 200 µL, containing 100 mM pH 7.4 potassium phosphate buffer, 0.5 mg/mL RLMs, and the varying concentration of tofacitinib (1, 2.5, 5, 10, 25, 50, 100, 200 and 400 μM). The system was preincubated at 37 °C for 5 min. The reaction was then initiated by the addition of reduced nicotinamide adenine dinucleotide phosphate (NADPH) at a final concentration of 1 mM, and the incubation was continued for 30 min. To determine the half-maximal inhibitory concentration (IC50) of baohuoside I, various concentrations of baohuoside I (100, 50, 10, 5, 1, 0.1, 0.01, and 0 μM) were selected along with 40 µM of tofacitinib, which is close to its Km value. In order to investigate the inhibitory mechanism of baohuoside I on tofacitinib, the two drugs were subjected to incubation at various concentration gradients, including 1/4 Km, 1/2 Km, Km, and 2Km of tofacitinib, as well as 0, 1/4 IC50, 1/2 IC50, IC50, and 2IC50 of baohuoside I. The incubation procedure remained consistent with the afore mentioned method.
Publication 2024
Male Sprague Dawley (SD) rats (average weighing 220–250) g were purchased from the laboratory animal center of Wenzhou Medical University, Zhejiang Province, China. Animals were maintained in a controlled environment with a 12 h light-dark cycle at 20°C–25°C and 55% ± 15% relative humidity. Diet intake was not allowed for a period of 12 h prior to the experiment. Then, water was allowed to be free and food was provided after the experiment. All the experimental procedures and protocols were reviewed and approved by the animal ethics committee of Wenzhou Medical University according to the guide for the care and use of laboratory animals (xmsq2021-0409). 36 male rats aged 8–10 weeks were randomly selected and divided into six groups for gavage. The group which was orally administered 40 mg/kg ketoconazole and 10 mg/kg tofacitinib acted as the positive control group and the group which was only orally administered 10 mg/kg tofacitinib acted as the negative group. Another four groups were orally administered 20 mg/kg bergapten, 50 mg/kg of bergapten, 20 mg/kg of isopsoralen and 50 mg/kg of isopsoralen, respectively, except 10 mg/kg of tofacitinib. Blood (300 μL) was collected from the tail veins into 1.5 mL tubes at 5, 15, and 30 min and 1, 2, 3, 4, 6, 8, 12, and 24 h after administering the drugs. The supernatant was collected and stored at −20°C after centrifugation at 4000 rpm for 10 min. The samples were restored to RT before analysis. 50 μL sample was accurately drawn to 1.5 mL of EP tube, 150 μL of midazolam internal standard solution (200 ng/mL) was added to the tube, then placed and vortexed for 15 s. After centrifugation at 13, 000 rpm for 15 min, 150 µL of supernatant was prepared for the UPLC-MS/MS system to analyze.
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Publication 2024
Eighteen SD rats were randomly divided into 3 groups with 6 rats in each group: control group, single-dose group and multi-dose group. The experiment lasted for 7 days. The control group was only fed normal saline for 7 days; the single-dose group was fed normal saline for the first 6 days and took 20mg/kg of baohuoside orally once on the seventh day. The multi-dose group was given 20mg/kg of baohuoside I orally once a day for seven days. On day 7, Eighteen rats were received oral saline (control group) or baohuoside I (single dose group, multiple-dose group), after 30 minutes, then received 10mg/kg of tofacitinib orally once. 50 μL blood samples were collected from the tail veins of the rats using heparinized glass capillary tubes at various time intervals, including 5, 15, and 30 minutes, as well as 1, 2, 3, 4, 6, 8, 12, and 24 hours. In the present study, 100 μL acetonitrile (containing IS) were added in a 1.5 mL Eppendorf tube. The resulting mixture was subjected to vortexing for a duration of 30 seconds, followed by centrifugation at a speed of 12,000 rpm for a duration of 10 minutes. Finally, the supernatant was transferred into a separate sample bottle.10 microliters of this supernatant were immediately analyzed using a sensitive and reliable UPLC-MS/MS method.
Publication 2024

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Tofacitinib is a chemical compound used in laboratory research. It is a Janus kinase (JAK) inhibitor, a class of drugs that block the activity of one or more of the Janus kinase enzymes. Tofacitinib is commonly used in cell-based assays and in vivo studies to investigate the role of JAK signaling in various biological processes.
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Tofacitinib is a small-molecule Janus kinase (JAK) inhibitor. It is designed to inhibit the activity of one or more of the JAK enzymes, which are involved in inflammatory processes in the body.
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Ruxolitinib is a selective and potent inhibitor of Janus-associated kinases (JAK) 1 and 2. It is used as a research tool in laboratory settings to study the role of JAK signaling in various biological processes.
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Tofacitinib is a pharmaceutical product manufactured by Pfizer. It functions as a Janus kinase (JAK) inhibitor, which is a class of medications that work by blocking the activity of one or more of the Janus kinase enzymes.
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Tofacitinib is a small molecule inhibitor that targets Janus kinase (JAK) enzymes. It is commonly used in research and development applications.
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Fetal Bovine Serum (FBS) is a cell culture supplement derived from the blood of bovine fetuses. FBS provides a source of proteins, growth factors, and other components that support the growth and maintenance of various cell types in in vitro cell culture applications.
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Tofacitinib citrate is a small-molecule inhibitor of the Janus kinase (JAK) family of enzymes. It is a white to off-white powder that is soluble in water.
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DMSO is a versatile organic solvent commonly used in laboratory settings. It has a high boiling point, low viscosity, and the ability to dissolve a wide range of polar and non-polar compounds. DMSO's core function is as a solvent, allowing for the effective dissolution and handling of various chemical substances during research and experimentation.
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Tofacitinib is a chemical compound used for laboratory research purposes. It functions as a selective inhibitor of the Janus kinase (JAK) family of enzymes, which play a role in cellular signaling pathways. Tofacitinib can be utilized in various in vitro and in vivo studies to investigate the effects of JAK inhibition in biological systems.
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Ionomycin is a laboratory reagent used in cell biology research. It functions as a calcium ionophore, facilitating the transport of calcium ions across cell membranes. Ionomycin is commonly used to study calcium-dependent signaling pathways and cellular processes.

More about "Tofacitinib"

Tofacitinib is a Janus kinase (JAK) inhibitor, a class of medications used to treat autoimmune disorders like rheumatoid arthritis, psoriatic arthritis, and ulcerative colitis.
This oral medication works by blocking the activity of one or more Janus family protein tyrosine kinases (JAK1, JAK2, JAK3, TYK2), which are involved in signaling for various cytokines and growth factors essential for immune function and blood cell production.
Clinical studies have shown that tofacitinib can reduce inflammation and improve symptoms in patients with these autoimmune conditions.
It is generally well-tolerated, though potential side effects may include increased risk of infections, elevated cholesterol levels, and gastrointestinal issues.
Close monitoring is required during tofacitinib treatment to manage any adverse events.
Similar JAK inhibitors, such as ruxolitinib, have also been developed and studied for their potential in treating autoimmune disorders.
Additionally, compounds like fetal bovine serum (FBS), tofacitinib citrate, and DMSO (dimethyl sulfoxide) may be used in research settings to investigate the mechanisms of action and effects of tofacitinib and related therapies.
Ionomycin, a calcium ionophore, is another tool that can be used in combination with tofacitinib to study immune cell signaling and activation.
By exploring the various aspects of tofacitinib and related research, we can gain a deeper understanding of this important class of medications and their potential applications in the management of autoimmune diseases.