Combating pan-coronavirus infection by indomethacin through simultaneously inhibiting viral replication and inflammatory response.

Severe infections with coronaviruses are often accompanied with hyperinflammation, requiring therapeutic strategies to simultaneously tackle the virus and inflammation. By screening a safe-in-human broad-spectrum antiviral agents library, we identified that indomethacin can inhibit pan-coronavirus infection in human cell and airway organoids models. Combining indomethacin with oral antiviral drugs authorized for treating COVID-19 results in synergistic anti-coronavirus activity. Coincidentally, screening a library of FDA-approved drugs identified indomethacin as the most potent potentiator of interferon response through increasing STAT1 phosphorylation. Combining indomethacin with interferon-alpha exerted synergistic antiviral effects against multiple coronaviruses. The anti-coronavirus activity of indomethacin is associated with activating interferon response. In a co-culture system of lung epithelial cells with macrophages, indomethacin inhibited both viral replication and inflammatory response. Collectively, indomethacin is a pan-coronavirus inhibitor that can simultaneously inhibit virus-triggered inflammatory response. The therapeutic potential of indomethacin can be further augmented by combining it with oral antiviral drugs or interferon-alpha.

Ustekinumab Tissue and Serum Levels in Patients With Crohn's Disease Are Closely Correlated Though Not Consistently Associated With Objective Response After Induction.

BACKGROUND: Ustekinumab (UST), which targets p40/interleukin (IL)-23 and IL-12, is an effective treatment for Crohn's disease (CD). Therapeutic drug monitoring may optimize UST posology. The aim of this study was to investigate UST and IL-23 serum and tissue concentrations in relation to mucosal inflammation and treatment response at an early time point. METHODS: CD patients starting UST between December 2016 and November 2018 were prospectively enrolled. Endoscopies were performed at baseline and week 16. UST and IL-23 serum and tissue concentrations were measured at week 16. Clinical and biochemical response were defined as decline of ≥3 points in Harvey-Bradshaw Index and reduction of ≥50% in fecal calprotectin levels. Endoscopic response was defined as a ≥50% decline in Simple Endoscopic Score or a decline of ≥1 points in Rutgeerts score. Histological remission was defined as Global Histologic Disease Activity Score ≤4. RESULTS: Of 56 included patients, 17 (30%) of 56 showed clinical response, 16 (30%) of 53 showed biochemical response, and 20 (36%) of 56 showed endoscopic response. UST, but not IL-23, concentration in biopsies was correlated to levels in corresponding sera (P < .0001). No correlation was found between UST tissue levels and treatment response. Patients achieving biochemical response showed significantly higher UST serum levels (3.12 µg/mL vs 1.41 µg/mL; P = .01). Tissue IL-23-to-UST ratio correlated with mucosal inflammation (P = .01). CONCLUSIONS: This is the first study to demonstrate a correlation between serum and tissue UST levels. While tissue IL-23-to-UST ratio correlated with mucosal inflammation, UST serum levels were more indicative for biochemical response. The role of UST levels for therapeutic drug monitoring in inflammatory bowel disease needs further research.

Ustekinumab (UST) serum levels correlate with UST tissue levels in patients with Crohn's disease. Tissue interleukin-23-to-UST ratio correlates with histological inflammation (Global Histologic Disease Activity Score). Serum UST levels correlate with biochemical response (reduction of ≥50% in fecal calprotectin levels).

Is age just a number? A population pharmacokinetic study of gemcitabine.

PURPOSE: Pharmacokinetic exposure to gemcitabine and its metabolite, 2',2'-difluorodeoxyuridine (dFdU), might be altered in elderly compared to their younger counterparts. It is unknown if age-based dose adjustments are necessary to reduce the development of treatment-induced adverse events. The aim of this study was to assess the impact of age on the pharmacokinetics of gemcitabine and dFdU. METHODS: Pharmacokinetic sampling following a flexible limited sampling strategy was performed in patients ≥ 70 years after gemcitabine infusion. The data were supplemented with pharmacokinetic data in patients included in four previously conducted clinical trials. Nonlinear mixed effects modelling was performed on the pooled dataset to assess the impact of age on the pharmacokinetics of gemcitabine and dFdU. RESULTS: In total, pharmacokinetic data were available of 197 patients, of whom 83 patients were aged ≥ 70 years (42%). A two-compartment model for both gemcitabine and dFdU with linear clearances from the central compartments described the data best. Age, tested as continuous and categorical (< 70 years versus ≥ 70 years) covariate, did not statistically affect the pharmacokinetics of gemcitabine and dFdU. CONCLUSION: Age was not of influence on the pharmacokinetics of gemcitabine or its metabolite, dFdU. Age-related dose adjustments for gemcitabine based on pharmacokinetic considerations are not recommended. TRIAL REGISTRATION NUMBER: NL39647.048.12, registered on May 3rd 2012.

Vedolizumab Tissue Concentration Correlates to Mucosal Inflammation and Objective Treatment Response in Inflammatory Bowel Disease.

BACKGROUND: The association between vedolizumab (VDZ) exposure and treatment response is unclear and seems insufficiently explained by serum levels. The aim of this study was to assess the correlation between VDZ concentrations in serum and intestinal tissue and their association with mucosal inflammation and response to VDZ. METHODS: This prospective study included 37 adult patients with inflammatory bowel disease with endoscopic inflammation at baseline who started VDZ. At week 16, serum and biopsies were collected for VDZ measurement by enzyme-linked immunosorbent assay. Nonlinear mixed-effects modeling was used to calculate serum trough concentrations and to assess intestinal tissue concentrations. Validated clinical and endoscopic scores were used to define clinical and endoscopic response and remission, and fecal calprotectin levels were used to assess biochemical response. Histologic remission was determined by the Nancy score. RESULTS: A positive correlation was observed between VDZ concentrations in serum and tissue (r2 = 0.83; P < 0.0001). High mucosal rather than serum VDZ levels correlated with a reduced endoscopic (P = 0.06) grade of mucosal inflammation. Furthermore, patients with a positive biochemical and endoscopic outcome had higher tissue levels of VDZ than patients without biochemical and endoscopic response (P < 0.01 and P = 0.04, respectively). CONCLUSIONS: Tissue levels of VDZ may provide a better marker than serum levels for mucosal inflammation and objective treatment outcome at week 16. The potential of VDZ tissue levels for therapeutic drug monitoring in inflammatory bowel disease warrants further exploration.

The Influence of Body Composition on the Systemic Exposure of Paclitaxel in Esophageal Cancer Patients.

Changes in body composition are associated with chemotherapy-related toxicities and effectiveness of treatment. It is hypothesized that the pharmacokinetics (PK) of chemotherapeutics may depend on body composition. The effects of body composition on the variability of paclitaxel PK were studied in patients with esophageal cancer. Skeletal muscle index (SMI), visceral adipose tissue (VAT), and skeletal muscle density (SMD) were measured at the third lumbar vertebra on computed tomography (CT) scans performed before treatment. Paclitaxel PK data were collected from a prospective study performed between May 2004 and January 2014. Non-linear mixed-effects modeling was used to fit paclitaxel PK profiles and evaluate the covariates body surface area (BSA), SMI, VAT, and SMD using a significance threshold of p < 0.001. Paclitaxel was administered to 184 patients in a dose range of 50 to 175 mg/m2. Median BSA was 1.98 m2 (range of 1.4 to 2.8 m2). SMI, VAT, and SMD were not superior to BSA in predicting paclitaxel PK. The additive value of SMI, VAT, and SMD to BSA was also negligible. We did not find evidence that paclitaxel dosing could be further optimized by correcting for SMI, VAT, or SMD.

Exposure to Docetaxel in the Elderly Patient Population: a Population Pharmacokinetic Study.

BACKGROUND: Docetaxel is commonly used in elderly patients, who are frequently diagnosed with prostate cancer. Although previous studies revealed no clinically relevant impact of older age on docetaxel pharmacokinetics (PK), this may be masked by indication. Metastatic castration-resistant prostate cancer (mCRPC) patients were reported to have approximately two-times lower systemic exposure compared to patients with other solid tumors. This study assessed the impact of older age on docetaxel PK, also considering the effect of indication on docetaxel PK. METHODS: Prospectively collected docetaxel PK data from patients aged ≥70 was pooled with PK data from an earlier published multicenter study. A 3-compartment population PK model, including multiple covariates, was used to describe docetaxel plasma concentration-time data. We added the effect of prostate cancer (mCRPC and metastatic hormone-sensitive prostate cancer (mHSPC)) on clearance to this model. Hereafter, we evaluated the additional impact of older age on docetaxel clearance, using a significance threshold of p < 0.005. RESULTS: Docetaxel plasma concentration-time data from 157 patients were analyzed. Median age in the total cohort was 67 years (range 31-87), with 49% of the total cohort aged ≥70. The impact of age on docetaxel clearance was statistically significant (p < 0.005). For a typical patient, a 10-year and 20-year increase of age led to a reduction in clearance of 17% and 34%, respectively. CONCLUSION: In this cohort study, age significantly and independently affected docetaxel clearance, showing lower docetaxel clearance in elderly patients. In our cohort, mCRPC and mHSPC patients both had higher clearance than patients with other solid tumors.

Does Older Age Lead to Higher Risk for Neutropenia in Patients Treated with Paclitaxel?

PURPOSE: There is ongoing concern regarding increased toxicity from paclitaxel in elderly patients, particularly of severe neutropenia. Yet, data so far is controversial and this concern is not supported by a clinically relevant age-dependent difference in pharmacokinetics (PK) of paclitaxel. This study assessed whether age is associated with increased risk for paclitaxel-induced neutropenia. METHODS: Paclitaxel plasma concentration-time data, pooled from multiple different studies, was combined with available respective neutrophil count data during the first treatment cycle. Paclitaxel pharmacokinetic-pharmacodynamic (PK-PD) data was modeled using a non-linear mixed effects approach and a semiphysiological neutropenia model, where systemic paclitaxel exposure was linked to reduced proliferation of neutrophils. The impact of age was evaluated on relevant variables in the model, using a significance threshold of p < 0.005. RESULTS: Paclitaxel PK-PD data was evaluated from 300 patients, with a median age of 65 years (range 23-84 years), containing 116 patients ≥70 years (39%). First cycle neutrophil counts were adequately described by a threshold effect model of paclitaxel on the proliferation rate of neutrophils. Age as a continuous or dichotomous variable (≥70 versus <70 years) did not significantly impact sensitivity of the bone marrow to paclitaxel nor the average maturation time of neutrophils (both p > 0.005), causing a decline in the respective interindividual variability of <1%. CONCLUSION: Results from this large retrospective patient cohort do not suggest elderly patients to be at an increased risk of developing paclitaxel-associated neutropenia during the first treatment cycle. Reflexive dose reductions of paclitaxel in elderly patients are unlikely to improve the risk of severe neutropenia and may be deleterious.

Neutropenia and docetaxel exposure in metastatic castration-resistant prostate cancer patients: A meta-analysis and evaluation of a clinical cohort.

The incidence of neutropenia in metastatic castration-resistant prostate cancer (mCRPC) patients treated with docetaxel has been reported to be lower compared to patients with other solid tumors treated with a similar dose. It is suggested that this is due to increased clearance of docetaxel in mCRPC patients, resulting in decreased exposure. The aims of this study were to (1) determine if exposure in mCRPC patients is lower vs patients with other solid tumors by conducting a meta-analysis, (2) evaluate the incidence of neutropenia in patients with mCRPC vs other solid tumors in a clinical cohort, and (3) discuss potential clinical consequences. A meta-analysis was conducted of studies which reported areas under the plasma concentration-time curves (AUCs) of docetaxel and variability. In addition, grade 3/4 neutropenia was evaluated using logistic regression in a cohort of patients treated with docetaxel. The meta-analysis included 36 cohorts from 26 trials (n = 1150 patients), and showed that patients with mCRPC had a significantly lower mean AUC vs patients with other solid tumors (fold change [95% confidence interval (CI)]: 1.8 [1.5-2.2]), with corresponding AUCs of 1.82 and 3.30 mg∙h/L, respectively. Logistic regression, including 812 patient, demonstrated that patients with mCRPC had a 2.2-fold lower odds of developing grade 3/4 neutropenia compared to patients with other solid tumors (odds ratio [95%CI]: 0.46 [0.31-0.90]). These findings indicate that mCRPC patients have a lower risk of experiencing severe neutropenia, possibly attributable to lower systemic exposure to docetaxel.

Age-Associated Hematological Toxicity in Patients with Metastatic Castration-Resistant Prostate Cancer Treated with Docetaxel in Clinical Practice.

BACKGROUND: Older patients with metastatic castration-resistant prostate cancer (mCRPC) may be more prone to chemotherapy-induced hematological toxicity, but tailored docetaxel dosing guidelines in older patients are lacking because of conflicting data. OBJECTIVE: This study aims to evaluate the impact of older age on the incidence of hematological toxicity in patients with mCRPC treated with docetaxel in daily clinical practice. METHODS: This study included patients with mCRPC treated with docetaxel between January 2006 and January 2016 at the Netherlands Cancer Institute and Medical Center Slotervaart for whom dosing and hematological toxicity data were available from electronic patient records. We evaluated the impact of age on the incidence of grade 3 and 4 hematological toxicity. RESULTS: In total, 175 patients treated with docetaxel were included in the analysis, with a median age of 67 years (range 47-86). Baseline hematological laboratory values were not age related. After the first treatment cycle, hematological toxicity occurred significantly more frequently in the oldest age quartile (25%, p = 0.02) than in the younger age quartiles (9%, 11%, and 7%, respectively, for age quartiles 1, 2, and 3). CONCLUSION: The risk of hematological toxicity was significantly higher in the oldest age quartile than in younger patients with mCRPC treated with docetaxel in daily clinical practice.

Impact of Older Age on the Exposure of Paclitaxel: a Population Pharmacokinetic Study.

PURPOSE: Limited available data suggest that older patients are more prone to develop paclitaxel-induced toxicity than their younger peers. It remains unclear whether this is related to age-dependent pharmacokinetics (PK) of paclitaxel. Primary objective of this study was to determine the influence of older age on the PK of paclitaxel. METHODS: PK data of patients aged ≥70 years who received paclitaxel intravenously at the Netherlands Cancer Institute (NKI) and the Radboud University Medical Center between September 2012 and May 2017 were collected. These prospectively collected data were pooled with previously published databases from multiple clinical trials conducted at the NKI and Erasmus MC Cancer Institute. A previously developed 3-compartment population PK model with saturable distribution and elimination was used to describe paclitaxel plasma concentration-time data. Hereafter, influence of age on paclitaxel PK was assessed in a previously established full covariate model. RESULTS: In total, paclitaxel PK data from 684 patients were available, consisting of 166 patients ≥70 years (24%). Median age of the cohort was 61 years (range 18 to 84 years). The impact of age, either treated as a continuous or dichotomous covariate (<70 versus ≥70 years), on the elimination of paclitaxel was only marginal but statistically significant (both p < 0.001 with no clinically relevant decrease in interindividual variability). For a typical patient, maximal elimination capacity decreased by only 5% for a 10-year increment of age. CONCLUSION: In this extensive multi-center dataset, which included a considerable number of older patients, older age had no clinically relevant impact on paclitaxel PK.

Impact of age on exposure to oral antiandrogen therapies in clinical practice.

BACKGROUND: Oral antiandrogen therapies are predominantly used in older men, but real-life studies evaluating the impact of age on pharmacokinetic exposure are lacking. This study aims to evaluate the impact of age on the pharmacokinetic profiles of abiraterone acetate and enzalutamide in clinical practice. PATIENTS AND METHODS: Retrospective observational study to evaluate the impact of age on the first steady-state sample of patients treated with abiraterone acetate or enzalutamide in routine daily clinical practice. The effect of age on target attainment was assessed. RESULTS: For abiraterone acetate and enzalutamide, 71 and 64 patients were included, respectively. Baseline patients' characteristics and administered doses were not age-dependent. No age-related differences were observed in exposure to the main metabolites of abiraterone acetate, except for active metabolite Δ(4)-Abiraterone (D4A) with a median plasma concentration of 2.5 × 10-3 mg/L in the oldest versus 1.3 × 10-3 mg/L in the youngest age quartile (coefficient of variation, CV, 72%, p = 0.03). For enzalutamide, no significant differences in exposure were found, except for carboxylic acid enzalutamide, having a median plasma concentration of 5.8 mg/L versus 3.9 mg/L in the oldest versus the youngest age quartile (CV 66%, p = 0.03). However, this was driven by one patient aged 99 years old. Age had no significant influence on target attainment of either compound. CONCLUSIONS: This study showed no significant impact of age on the pharmacokinetic profiles of abiraterone acetate and enzalutamide, except for the active metabolite D4A and the inactive metabolite carboxylic acid enzalutamide, both having significantly higher exposure in older males. Target attainments of abiraterone and enzalutamide were not significantly affected by age, which suggests that age has no clinically relevant impact on exposure to these oral antiandrogen therapies. However, the clinical impact of higher exposure to D4A in older males remains undetermined.

Therapeutic drug monitoring of small molecule kinase inhibitors in oncology in a real-world cohort study: does age matter?

AIM: Pharmacokinetics of small molecule kinase inhibitors (KIs) used in cancer treatment may alter with increasing age, but results are conflicting. This study aims to compare exposure to KIs between older and younger patients (≥70 and <70 years) in clinical practice. METHODS: KI plasma concentrations of routinely treated patients were measured using validated assays. Calculated trough concentrations were compared in both age groups. For KIs with a clinically meaningful target concentration (erlotinib, imatinib, pazopanib, sunitinib and vemurafenib), influence of older age on target attainment was assessed. RESULTS: We analysed 616 samples from 454 patients (median age: 61; range 20-93 years), treated with dabrafenib (n = 105), erlotinib (n = 49), imatinib (n = 165), pazopanib (n = 63), sunitinib (n = 87), trametinib (n = 95) and vemurafenib (n = 52). Older age did not significantly influence exposure to erlotinib, imatinib, pazopanib, sunitinib, trametinib and vemurafenib. Elderly patients had significantly higher dabrafenib trough concentrations than younger patients (P = 0.02; 62 ng ml-1 (coefficient of variation [CV] 41%), vs. 53 ng ml-1 (CV 46%), respectively). For KIs with a predefined target concentration, 68% of older and 61% of younger patients reached target. CONCLUSIONS: In this real-world study, exposure to most included KIs was comparable in older and younger patients, except for dabrafenib, which showed higher exposure in older patients. In the absence of an absolute target for this KI, clinical relevance remains unclear. For all other included KIs, our data suggest no clinically relevant influence of older age on KI exposure.

Pharmacokinetics of Selected Anticancer Drugs in Elderly Cancer Patients: Focus on Breast Cancer.

BACKGROUND: Elderly patients receiving anticancer drugs may have an increased risk to develop treatment-related toxicities compared to their younger peers. However, a potential pharmacokinetic (PK) basis for this increased risk has not consistently been established yet. Therefore, the objective of this study was to systematically review the influence of age on the PK of anticancer agents frequently administered to elderly breast cancer patients. METHODS: A literature search was performed using the PubMed electronic database, Summary of Product Characteristics (SmPC) and available drug approval reviews, as published by EMA and FDA. Publications that describe age-related PK profiles of selected anticancer drugs against breast cancer, excluding endocrine compounds, were selected and included. RESULTS: This review presents an overview of the available data that describe the influence of increasing age on the PK of selected anticancer drugs used for the treatment of breast cancer. CONCLUSIONS: Selected published data revealed differences in the effect and magnitude of increasing age on the PK of several anticancer drugs. There may be clinically-relevant, age-related PK differences for anthracyclines and platina agents. In the majority of cases, age is not a good surrogate marker for anticancer drug PK, and the physiological state of the individual patient may better be approached by looking at organ function, Charlson Comorbidity Score or geriatric functional assessment.

Incidence of hematologic toxicity in older adults treated with gemcitabine or a gemcitabine-containing regimen in routine clinical practice: a multicenter retrospective cohort study.

PURPOSE: Older adults receiving cytotoxic agents may be more susceptible to hematologic toxicities because of progressive reduction in organ functions and multiple co-morbidities. Because older adults are under-represented in clinical trials, this retrospective study aims to evaluate hematologic toxicity of gemcitabine-based regimens in older patients compared with their younger counterparts in clinical practice. PATIENTS AND METHODS: A total of 494 patients routinely treated with gemcitabine, either alone or in combination with platinum-based drugs, in the Slotervaart Hospital or The Netherlands Cancer Institute between January 2003 and January 2013 were enrolled. Patient characteristics, underlying malignancy, treatment regimen, administered doses of gemcitabine, and laboratory values were retrospectively collected from electronic patient records. The relative dose intensity achieved in older patients and their younger counterparts was evaluated using the Wilcoxon rank sum test. Incidence of hematologic toxicity in older adults (age ≥70 years) and their younger counterparts (age <70 years) was compared using the Fisher's exact test. Predictors of experiencing Grade 3 or 4 hematologic toxicity were evaluated using logistic regression. RESULTS: Patient characteristics and baseline laboratory values were equally distributed among the two age groups, except for the estimated glomerular filtration rate being significantly lower in the older patients. Reduction of the first administered dose of gemcitabine was significantly more frequently applied in the older patients (p = 0.03). However, no significant difference in the gemcitabine relative dose intensity over the median number of four treatment cycles was observed (65 % in the older patients group vs. 67 % in the younger control group). Incidence of severe hematologic toxicity (Grade ≥3) was not significantly higher in the older patients. A subset analysis of nadir blood counts showed a trend towards an increased incidence of Grade ≥3 hematologic toxicity for the older patients in the gemcitabine-cisplatin treatment group. Moreover, the relative risk for developing Grade 3 or 4 leukocytopenia in the older patients was increased fivefold (p = 0.007) for combination therapy with gemcitabine and cisplatin. Blood transfusions were administered nearly twofold more frequently in the older patients, but this difference did not reach statistical significance. CONCLUSION: Treatment with gemcitabine or a gemcitabine-containing regimen appeared to be feasible and well tolerated in the older patients who were selected to receive chemotherapy. Overall, patients ≥70 years of age did not incur a higher incidence of severe or life-threatening hematologic toxicity nor did they undergo more frequent or larger dose adjustments. These data support additional treatment-specific prospective studies and clinical trials in older cancer patients to optimize treatment benefit and risk in this heterogeneous older patient population.

Posaconazole treatment in hematology patients: a pilot study of therapeutic drug monitoring.

BACKGROUND: Posaconazole is indicated for prophylaxis and salvage therapy of invasive fungal infections. Based on pharmacokinetic-pharmacodynamic data, minimum serum concentrations for each indication have been proposed, for example, for prophylaxis >0.5-0.7 mg/L and for primary therapy >1.0 mg/L. Several drugs and comorbidities have been identified to hinder reaching target concentrations. It is postulated that patients with interacting drugs or comorbidities should be monitored for posaconazole concentrations. PATIENTS AND METHODS: Patients aged 18 years and above were included for retrospective analysis if at least 1 serum posaconazole concentration was measured in our hospital between June 2009 and May 2010. Serum posaconazole concentrations were measured using a validated liquid chromatographic method with tandem mass-spectrometric analytical method. Patient characteristics, underlying disease, comedication, comorbidities, and therapeutic drug monitoring (TDM) interventions were collected retrospectively, based on (electronic) medical records. RESULTS: Seventeen patients were included, from whom 42 samples for posaconazole measurement were collected. In total, 8 patients did not reach adequate posaconazole concentration. Sixty percent of patients using a proton pump inhibitor (PPI) did not reach target concentration with a corresponding median concentration of 0.48 mg/L. PPI usage was shown to significantly increase the risk of attaining below-target serum posaconazole concentration (P = 0.04 for all measurements). Graft-versus-host disease and diarrhea were associated with significant below-target concentrations (P = 0.03 and P < 0.001, respectively, for all measurements). One patient developed a breakthrough pulmonary aspergillosis at low posaconazole concentration (0.37 mg/L). Two patients had high concentrations (>3 mg/L), without adverse events. After TDM intervention, 3 out of 4 patients (75%) reached target concentration by spreading the administration of the dose. CONCLUSIONS: Below-target posaconazole concentrations were significantly more frequent in PPI users, graft-versus-host disease, and diarrhea. TDM seemed to be a helpful tool to identify low concentrations and to optimize posaconazole treatment.

Metabolic responses to intracerebroventricular leptin and restricted feeding.

Leptin is a hormone secreted by adipocytes, which plays an important role in the control of food intake and metabolic processes. In the current study, a dose-dependent relationship was shown between a bolus intracerebroventricular rat recombinant leptin administration and reductions in food intake and body weight in Sprague-Dawley rats. During the 24 h postinjection period, food intake was decreased by 24, 26, and 52% with 0.625, 2.5, and 10 microg of leptin, respectively. Body weight was reduced by 2, 3, and 5% at 24 h after leptin administration at the doses of 0.156, 2.5, and 10 microg, respectively. Furthermore, indirect calorimetry demonstrated that five daily i.c.v. injections of leptin resulted in an increase in heat production per unit of metabolic body size and fat oxidation by approximately 10 and 48%, respectively. In contrast, food-restricted rats that consumed the equivalent amount of food as leptin-treated rats for 5 days decreased their energy expenditure by 10%. Food restriction was found to decrease respiratory quotient in a similar pattern as the leptin administration. When ad lib feeding was resumed, food-restricted rats quickly recovered their normal food intakes, body weights, and metabolism. Conversely, leptin treatment has prolonged effects on body weight resulting from different metabolic responses than food restriction. Leptin not only suppresses food intake, but also enhances energy expenditure to reduce fat depots.

Whole body composition of rats determined by dual energy X-ray absorptiometry is correlated with chemical analysis.

The use of dual energy X-ray absorptiometry (DXA) is increasing in animal research, but data comparing whole body composition by DXA and chemical analysis (CHEM) in rats are limited. Lean and obese Zucker female rats were used to compare DXA (QDR1000W, Hologic, Waltham, MA) values with CHEM data for percent fat (%FATDXA, %FATCHEM), lean body mass (%PROTDXA, %PROTCHEM) and bone mineral content (%BMCDXA, %ASHCHEM). Four groups of rats (n = 9) were tested for differences in body composition due to consumption of a 100 g guar gum supplement/kg to see if DXA was as sensitive as CHEM in detecting body composition differences induced by diet. The study was analyzed using a split-plot ANOVA where the main plot was a 2 x 2 factorial with phenotype (obese or lean) and treatment (guar gum or control) as the effects, and the subplot was method of detecting body composition (DXA and CHEM), which was treated as a repeated measure. Absolute values for percent fat differed significantly (P < 0.0001) between the two methods as %FATDXA was consistently higher than %FATCHEM. There was not a statistically significant difference due to method for %PROT (P = 0.13). Values for %BMCDXA were significantly (P < 0.0049) lower than %ASHCHEM values. The differences in body composition due to diet treatment were detected similarly by DXA and CHEM. Significant correlations were found between the methods (P < 0.0001) for %FAT (r = 0.99), %PROT (r = 0.96) and %BMC or ASH (r = 0.81). Bland-Altman plots showed good agreement between methods, and regression equations were developed to estimate CHEM values from DXA readings. DXA may provide an alternative method for assessing changes in whole body composition.