Unveiling the emergence of SARS-CoV-2 JN.1 sub-variant: Insights from the first cases at Charles Nicolle Hospital, Tunisia.

The JN.1 sub-variant is a new variant of the SARS-CoV-2 Omicron strain, derived from the BA.2.86 sub-variant. It was first detected in late 2023 and has quickly spread to many countries, becoming the most prevalent variant in some regions. JN.1 exhibits a unique mutation (L455S) in the spike protein compared to the BA.2.86 lineage, which may affect its transmissibility and immune evasion capabilities. JN.1 has been designated as a "variant of interest" by the World Health Organization due to its rapidly increasing spread and is being closely monitored for its impact on the COVID-19 pandemic. This study describes the emergence of SARS-CoV-2 JN.1 sub-variant in Tunisia, and reports its mutation profiles.Nasopharyngeal samples collected over a four-month period (October 2023 to January 2024) were subjected to RNA extraction and real-time RT-PCR confirmation of SARS-CoV-2 infection. The whole-genome sequencing was performed by an iSeq 100 sequencer and COVIDSeq kit reagents (Illumina, USA).Mutation analysis, using the NextClade platform and GISAID database, revealed the presence of JN.1 in 15 out of 80 positive cases (18.75%) during the study period.The emergence of JN.1 highlights the ongoing evolution of SARS-CoV-2 and the need for continued surveillance and research to better understand the characteristics and impact of emerging variants.

Genomic surveillance of SARS-CoV-2 in North Africa: 4 years of GISAID data sharing.

Objectives: This study aimed to construct geographically, temporally, and epidemiologically representative data sets for SARS-CoV-2 in North Africa, focusing on Variants of Concern (VOCs), Variants of Interest (VOIs), and Variants Under Monitoring (VUMs). Methods: SARS-CoV-2 genomic sequences and metadata from the EpiCoV database via the Global Initiative on Sharing All Influenza Data platform were analyzed. Data analysis included cases, deaths, demographics, patient status, sequencing technologies, and variant analysis. Results: A comprehensive analysis of 10,783 viral genomic sequences from six North African countries revealed notable insights. SARS-CoV-2 sampling methods lack standardization, with a majority of countries lacking clear strategies. Over 59% of analyzed genomes lack essential clinical and demographic metadata, including patient age, sex, underlying health conditions, and clinical outcomes, which are essential for comprehensive genomic analysis and epidemiological studies, as submitted to the Global Initiative on Sharing All Influenza Data. Morocco reported the highest number of confirmed COVID-19 cases (1,272,490), whereas Tunisia leads in reported deaths (29,341), emphasizing regional variations in the pandemic's impact. The GRA clade emerged as predominant in North African countries. The lineage analysis showcased a diversity of 190 lineages in Egypt, 26 in Libya, 121 in Tunisia, 90 in Algeria, 146 in Morocco, and 10 in Mauritania. The temporal dynamics of SARS-CoV-2 variants revealed distinct waves driven by different variants. Conclusions: This study contributes valuable insights into the genomic landscape of SARS-CoV-2 in North Africa, highlighting the importance of genomic surveillance in understanding viral dynamics and informing public health strategies.

Drug-Drug Interaction between Tacrolimus and Fluconazole in a Kidney Transplant Recipient.

We report a case of tacrolimus and fluconazole drug-drug interaction in a 20-year-old female kidney transplant recipient with stable kidney function. The patient's tacrolimus blood concentrations were in the therapeutic range until fluconazole was administrated for Candida albicans infection, on day 58 posttransplant. Tacrolimus blood concentration increased by 125% (18.4 ng/mL) on day 79 and by 212% (25.4 ng/mL) on day 84 posttransplant. On day 92, tacrolimus trough blood concentration returned to the therapeutic range (5.6 ng/mL), with decrease of tacrolimus daily dose by 50% (to 4 mg). After fluconazole withdrawal, the patient was returned to the initial tacrolimus daily dose (8 mg) to maintain a tacrolimus trough blood concentration in the therapeutic range. Fluconazole coadministration with tacrolimus shows a significant clinical effect on tacrolimus trough blood concentration in kidney transplant patients. Maintaining a tacrolimus trough blood concentration in the therapeutic range is crucial for these patients; therefore, physicians should be aware of fluconazole prescriptions.

Interaction Between Tacrolimus and Proton Pump Inhibitor in a Kidney Transplant Recipient.

We aimed to present a drug monitoring profile of tacrolimus and proton pump inhibitor coadministration in a 23-year-old male patient with a history of high blood pressure who underwent kidney transplant. The patient's serum trough levels of tacrolimus were in the therapeutic range until omeprazole 20 mg daily was prescribed. Tacrolimus trough serum level increased to 29.5 ng/mL under the same daily dose and to 13.9 ng/mL after tacrolimus daily dose was decreased to 6 mg/day. This increase in tacrolimus serum level was behind a renal function alteration. After withdrawal of omeprazole, tacrolimus trough serum level returned to the therapeutic range. Because interactions between tacrolimus and omeprazole could result in toxicities, careful monitoring of tacrolimus serum levels should be considered to adjust the dosage.

Prevalence of indeterminate tuberculosis interferon-gamma release assays in COVID-19 patients: Systematic review and meta-analysis.

Background and Aims: The reliability of interferon-gamma-release-assays (IGRAs) for tuberculosis (TB) testing in coronavirus disease 2019 (COVID-19) patients is unknown. This study aimed to systematically review the prevalence of indeterminate TB-IGRA following SARS-CoV-2 infection or vaccination and to review associated factors. Methods: This systematic literature review was guided according to the PRISMA guidelines by searching PubMed, Scopus, Web of Science, Clinicalkey, and Cochrane Library. Studies reporting results of TB-IGRA tests (QuantiFERON [QFT]-TB, T-SPOT.TB) in COVID-19 patients or vaccines were included. The random effects model was used to assess the prevalence of indeterminate IGRA results. Heterogeneity was evaluated using the Τ 2 and 95% predictive interval. Results: Of the 273 citations screened, 12 articles were included in the final analysis including a total of 2107 patients. The overall pooled effect size proportion of indeterminate QFT-TB results, estimated in eight studies using the QFT-TB Plus assay, was 0.26 (95% CI: 0.205-0.324, Τ 2 = 0.158). The mean true effect size was 0.26 (95% predictive interval: [0.110-0.500]). A subgroup analysis was not undertaken due to the small number of studies. Indeterminate QFT-TB rates were associated with COVID-19 severity, steroid treatment, inflammation-related parameters, neutrophilia, and lymphopenia. Conclusion: Indeterminate QFT-TB results in COVID-19 patients occur in almost one-quarter of tests performed. Further studies are needed to assess associated factors.

Effects of biologic and target synthetic disease-modifying anti-rheumatic drugs on sarcopenia in spondyloarthritis and rheumatoid arthritis: a systematic review and meta-analysis.

Sarcopenia is a syndrome defined by generalized and progressive loss of skeletal muscle mass, strength, and function. Besides affecting elderly population, it is actually common among inflammatory rheumatic diseases (IRD) patients. We performed a systematic literature review with a meta-analysis to investigate the influence of biologic and target synthetic disease-modifying anti-rheumatic drugs (bDMARDs/tsDMARDs) on sarcopenia in IRD. A systematic search has been performed on Pubmed, Scopus, and Web of science. Studies characteristics were collected. Assessment tools were body composition (total lean mass (TLM) and percentage, appendicular skeletal mass (ASM), fat-free mass and index (FFM and FFMI), skeletal mass index (SMI) and segmental lean mass (SLM)), and muscle strength and physical performance tests. Treatment effect defined the difference in change from baseline to the end of follow-up treatment was divided by the pooled SD of the difference. Twenty-two studies on 778 patients receiving bDMARDs/tsDMARDs and 157 controls were reviewed. They investigated rheumatoid arthritis (RA) (N = 14), spondyloarthritis (SpA) (N = 6), psoriatic arthritis (N = 1), and both RA and SpA (N = 1). tsDMARDs were used in one study with no effect on sarcopenia. Ten studies demonstrated that bDMARDs increased significantly muscle measures in 347 patients (44.6%) with a significant increase in TLM (6/15 studies; 57.4%), FFMI (4/6 studies; 59.9%), ASM (2/5 studies; 17.6%), SMI (2/5 studies; 18.1%), and SLM (2/2 studies; 3.6%). bDMARDs showed also a positive effect on handgrip strength in 1/3 of studies (45.2%) and on physical performance in 1/2 of studies (61%). In 1/5 of comparative studies, IRD patients on bDMARDs showed significantly higher increase of TLM in comparison to controls naïve bDMARDs. Regarding diagnosis, positive effect of bDMARDs was seen in 67.4% in SpA versus 49.3% in RA, with a significant increase of TLM, ASM and FFMI in 59.4%, 100%, and 65.2% in SpA versus 54.9%, 24.1%, and 54.8% in RA, respectively. Meta-analysis assessed the effect of bDMARD on TLM in 10 studies. There was no statistically significant difference [SMD - 0.10 (95% Confidence Interval - 0.26 - 0.06; tau2 = 0). Heterogeneity across studies was null, and the 95% confidence interval (index of precision) was equal to the 95% predictive interval. The first systematic literature review showed that bDMARDs have a significant improve effect in nearly half of RA and SpA patients on muscle mass and muscle strength, assessed separately. However, the meta-analysis concluded that bDMARDs have no significant effect on TLM.

Comparing real-life carbamazepine exposure between innovator and generic formulation.

BACKGROUND: Carbamazepine is an anticonvulsant largely used in the treatment of epilepsy. The use of generic antiepileptic drugs (AEDs) is controversial because of the eventual possibility to loss seizures control. The aim of our study was to compare the concentration over dose ratio of two products containing carbamazepine, the innovator (Tégrétol®-NOVARTIS) and the generic (Taver®-MEDOCHEMIE). METHODS: It is a retrospective study (2009-2016) including 32 patients treated with carbamazepine. Patients were treated initially by innovator then switched to generic or vice versa. All patients have at least one level of carbamazepine plasma concentration (C0) with the innovator or the generic formulation. Monitoring of carabamazepine was made using immunoassay method (ARCHITECT-ABOTT®). RESULTS: The mean age of our patients was 28.4 years and ranged from 2 to 55 years. The sex ratio M/F was 1.46. The mean ratio C0/dose for the innovator group was 0.723 (min/max: 0.017/1.73), and the mean ratio C0/dose for the generic group was also 0.607 (min/max: 0.064/1.68). There was no statistically significant difference between both groups (P=0.16). CONCLUSION: Our results confirm the difference between the innovator and the generic formulation of carbamazepine. So, switching from innovator to generic seems to be safe and exposure to carbamazepine remains the same.

Is there a ceiling lamotrigine serum level in epileptic children in remission?

INTRODUCTION: Seizure control, in patients with epilepsy, is proportionally associated with health-related quality of life. Antiepileptic therapy leads to seizure remission in most cases. However, some patients are resistant to treatment despite achieving high doses which can be explained by interindividual variability of antiepileptic drugs' metabolism. A ceiling exposure, in epilepsy, helps to adapt the therapeutic strategy in a faster way and to prevent unnecessary exposure to adverse drug reactions. Due to the increasing use of new generations of antiepileptic drugs, we aimed to explore the distribution of lamotrigine (LMT) trough serum levels in epileptic children, stratified between remission and ongoing seizures, in order to determine whether there is a ceiling effect associated with remission. METHODS: We conducted a retrospective study (2012-2021) including children, with generalized epilepsy (2-18 years), addressed for a therapeutic drug monitoring of LMT trough serum levels. Patients in remission, should have as lasting three times the longest pre-treatment seizure-free interval and more than one year. RESULTS: The population of 114 children with generalized epilepsy was divided in to groups: epileptic children in remission (36) and epileptic children with ongoing seizures (78). There was no significant difference in age and sex in the two groups. Median LMT daily dose and trough serum levels were significantly higher in group 2. The highest LMT serum trough level was 11µg/mL in group 1 and 23.1µg/mL in group 2. Valproate was associated in 29%. There was no significant difference of the distribution of valproate in the two groups (P=0.08). CONCLUSIONS: Children in remission had a LMT trough serum levels under 11µg/mL and a daily dose of 3.36mg/kg/day or less. These results suggest that this LMT serum level and daily dose might be associated with a ceiling effect in epileptic children.

Drug interaction between carbamazepine and other antiepileptic drugs in Tunisian epileptic patients.

INTRODUCTION: Carbamazepine could be used on monotherapy or associated to other antiepileptic drugs (AED). In these cases, drug interactions should be taken into account. AIM: To assess the influence of the coadministration of CBZ with other AED on the trough plasmatic concentration (C0) of CBZ in epileptic adults. METHODS: We performed a retrospective study over a period of 9 years in the Department of Clinical Pharmacology in the Tunisian National Centre "Chalbi Belkahia" of Pharmacovigilance. Our study included samples from adult patients receiving CBZ alone or associated to other AED for epilepsy. Trough plasma CBZ plasma concentrations were measured by an immunological method. Included samples were divided in four groups: i/ group 1 (G1) receiving CBZ as monotherapy, ii/ group 2 (G2) treated by CBZ with an enzyme inducer (phenobarbital or phenytoin), iii/ group 3 (G3) taking CBZ associated to an enzyme inhibitor (valproic acid (VPA)), iv/ group 4 (G4), treated by CBZ associated to enzyme inducer (phenobarbital or phenytoin) and enzyme inhibitor (valproic acid) at the same time. RESULTS: There were no significant differences between different groups in age, weight and sex ratio. However statistical analysis showed a significant decrease in C0/D CBZ ratio between G1 and G2 and between G1 and G4 (p<0.001). However, the difference was not significant between G1 and G3 (p=1.2044). CONCLUSION: It is important to check and to prevent the consequences of the interaction between CBZ and other AED in order to avoid inefficiency and toxicity.

Digoxin therapeutic drug monitoring: age influence and adverse events.

INTRODUCTION: Digoxin is a cardiac glycoside, used to control rapid ventricular rates in atrial fibrillation and to reduce the hospitalizations due to heart failure. Digoxin has a narrow therapeutic range. So, in the treatment of older patients (≥ 65 years), it is important to set the optimal dose of digoxin to prevent toxicity and therapeutic drug monitoring of digoxin trough plasmatic concentration (C0) may be useful. AIM: To assess measured C0, to evaluate age influence on digoxin pharmacokinetic parameters and to report adverse events in patients administered digoxin. METHODS: It consisted in a retrospective study. We included all the patients addressed to the department of clinical pharmacology for digoxin C0 measurement by an automated fluorescence polarization immunoassay. Therapeutic ranges of digoxin C0 were: 1 to 2.5 ng.mL-1 in children, 0.8 to 2 ng.mL-1 in adults and 0.5 to 0.9 ng.mL-1 in older adults (≥ 65 years) in atrial fibrillation and heart failure. RESULTS: We collected 183 samples from 132 patients. Sex ratio M/W was 0.47. Mean age was 60 years and 57% of patients were older adults. Mean dose of digoxin was 0.3 mg.day-1. In older adults, 45% were administered daily doses over 0.125 mg.day-1. Mean digoxin C0 was 1.6 ng.mL-1. There was more supra-therapeutic C0 in older adults than younger ones (p<0.0001).There was no correlation between C0 and daily dose of digoxin. Adverse events, mainly cardiac and digestive, were reported in 47 patients (36%), among this population 47% were older adults. CONCLUSION: TDM is useful to prevent toxicity, mainly in older adults where diagnosis may be difficult to establish.

Development and validation method for estimation paclitaxel in plasma.

BACKGROUND: Paclitaxel (PTX) is an anticancer drug used in the treatment of many cancer , alone or in combination with other anti-tumors. It has a narrow therapeutic range, a large inter and intra-individual pharmacokinetic variability and haematological toxicity. The most effective pharmacokinetic parameter seems to be the time during which the plasma concentration is over 0.05 µmol/L. AIM: To develop and validate a new method for PTX quantitation in plasma using HPLC with UV/visible detection. METHODS: A rapid HPLC-UV method was developed for the determination of PTX level in plasma. All solvents used were HPLC grade. RESULTS: After liquid-liquid extraction, chromatographic separation was achieved using an RP 18 (250 mm) column. The mobile phase was composed of acetonitrile and 0.1 M potassium dihyrogenophosphate (49/51) (v/v). Clonazepam was used as internal standard. This technique was linear over the range 50 ng/mL to 1500 ng/mL (r= 0.998). The evaluation of precision showed that our method is repeatable with a within-day coefficient of variation (CV) ranging from 6.94 to 18.78 % and reproducible for three studied concentrations low, medium and high with day-to-day CV of 14.92, 10.46 and 11.8% respectively. Under these conditions, each analysis required no longer than 12.81 min. CONCLUSION: We have developed and validate a new assay for PTX monitoring using HPLC with UV detection which is sensible, specific, reliable and easy to carry out in clinical use for its therapeutic drug monitoring.

Early interaction between tacrolimus and rifampin.

Drug interactions are unavoidable and need to be proactively identified and managed, in particular, the inductive effect of rifampin on tacrolimus whose potency and duration data are limited. We report the case of a renal transplant patient who was prescribed tacrolimus with preserved tough blood levels (C0) of 7.9 +/- 2 ng/mL. He presented ganglionic tuberculosis and started rifampin. One day later, C0 was 2.6 ng/mL with 5 mg/day. The serum creatinin was normal. Nine days later, C0 was 1.6 ng/mL with 7 mg/day. In this case-report, the tacrolimus-rifampin interaction occurred just one day after rifampin introduction necessitating early C0 monitoring.

Therapeutic durg monitoring of cyclosporin using area under the curve in nephrotic syndrome.

The use of cyclosporin in nephrotic syndrome can be considered in cortico-resistance or cortico-dependence. Cyclosporin is an immunosuppressant with a narrow therapeutic range and large pharmacokinetics variability justifying its therapeutic drug monitoring (TDM). The aim of this study was to evaluate the TDM of cyclosporin by the measurement of AUC0-12h in patients with nephrotic syndrome and to study the correlations between the AUC0-12h and the different blood concentrations of cyclosporin. It is a retrospective study from 2009 to 2016. TDM of cyclosporin was carrying out by ARCHITECT®. Determination of the AUC0-12h was made from three samples taken at T0, T60min and T180min obtained by a model of population pharmacokinetics of cyclosporin. A total of 20 patients were evaluated (29 abbreviated kinetics). The median AUC0-12h was 4.76 mg*h/L. Considering the target 5 mg*h/L during the first 6 months, 6 AUC0-12h were sub-therapeutic and 5 supra-therapeutic, no AUC0-12h was in the therapeutic range. Considering the 3 mg*h/L as a target during the following months, 13 AUC0-12h among 18 were supra-therapeutic. A correlation coefficient between the AUC0-12h of cyclosporin and C0 was 0.798. Correlation between AUC0-12h and C2h was 0.909. The median C2h found in our work was 878 ng / mL during the first six months versus 1039 ng / mL in the following months. Our patients are overexposed to cyclosporin and TDM of this drug by determination of AUC0-12h or by C2h would be more interesting than TDM by C0. TDM allows a better individual dose adjustment to avoid especially toxicity of cyclosporin.

Comparative study of two techniques of mycophenolate mofetyl monitoring.

INTRODUCTION: Mycophenolic acid (MPA) requires routine therapeutic drug monitoring. AIM: To evaluate the suitability of a MPA Immunoassay CEDIA performed on Indiko® analyzer (Thermo fisher) for monitoring of MPA by comparing values obtained by HPLC-UV method. METHODS: This study was carried out on 114 blood samples collected from renal transplant, using high performance liquid chromatography combined with ultraviolet detection (HPLC-UV, reference method) and the new immunoassay on CEDIA. RESULTS: The assay was linear for a mycophenolic acid concentration up to 10 µg/mL. When MPA concentrations in all 114 transplant recipients obtained by the HPLC-UV (x-axis) method were compared with corresponding values obtained by the CEDIA® method (y-axis), the following regression equation was obtained: CEDIA® = 1.558 HPLC + 0.49 (r = 0.86). However more significant positive bias was observed (37 %). CONCLUSION: The data presented suggest that the CEDIA® MPA immunoassay, run on the Indiko® analyzer, over-estimates plasma MPA concentrations. However, CEDIA® immunoassay is less laborious and time consuming than chromatographia techniques.

Therapeutic monitoring of antiepileptic drugs in comatose patients.

OBJECTIVE: In this study, we aimed to analyze the trough plasmatic levels (C0) of the antiepileptic drugs (AED) administered by nasogastric tubes (NGT) in comatose patients and to draw up recommendations for therapeutic drug monitoring (TDM) and for the modalities of AED administration by NGT. METHODS: We conducted a retrospective study on comatose patients addressed over six years and 10 months in Clinical Pharmacology for C0 measurement of AED administered by NGT. RESULTS: In this study, the sex-ratio was 2.38 (44 patients). The patients' median age was 24 years. There was 14.5% of children (≤16 years). Among the 103 samples, C0 measurement concerned valproic acid in 57%, phenobarbital in 28 % and carbamazepine in 15%. Two AED or more were associated in 42% of patients. AED were associated to other drugs in 85% of cases. The AED C0 were subtherapeutic in 71% of cases. C0/Dp lower than recommanded in 65 %. In these samples, 55% presented at least one drug association with the concerned AED. In 45% of the cases, there was no drug association but a non-respect of modalities of AED administration by NGT in patients. CONCLUSION:   The drug monitoring is a useful tool to assess drug-drug interactions and to control modalities of AED administration in comatose patients.

Limited sampling strategy for the estimation of mycophenolic acid area under the curve in Tunisian renal transplant patients.

Mycophenolate mofetil is a prodrug widely used in renal transplantation to prevent organ rejection. It is hydrolyzed to its active compound mycophenolic acid (MPA). MPA area under the curve (AUC0-12h) is considered the best pharmacokinetic parameter for the estimation of MPA exposition and for prediction of rejection. MPA-AUC requires several blood samples, making it impractical for clinical practice. Therefore, development of a limited sampling strategy (LSS) to estimate MPA AUC0-12h using three blood samples is very helpful for MPA individual dose adjustment. Results of LSS differ according to the patient background and to the drug formulation. Therefore, the purpose of this study was to develop a LSS for the estimation of MPA AUC0-12h in Tunisian renal transplant patients treated with the generic formulation of mycophenolate mofetil (MMF®, MEDIS). The best correlation was achieved by a profile based on three time points C0.5h, C1.5h, and C4h after drug intake: AUC0-12h = 0.414 + 1.210 × C0.5 + 2.256 × C1.5 + 4.134 × C4 (mei = 1.65% and rmse = 5.81%). The correlation between full AUC0-12h and abbreviated AUC0-12h was 0.917. In conclusion, this model provides a reliable and simple equation to estimate MPA AUC0-12h for the generic formulation of mycophenolate mofetil (MMF®).