Decrease in Ionized and Total Magnesium Blood Concentrations in Endurance Athletes Following an Exercise Bout Restores within Hours—Potential Consequences for Monitoring and Supplementation

Magnesium is essential for optimal sport performance, generating an interest to monitor its status in athletes. However, before measuring magnesium status in blood could become routine, more insight into its diurnal fluctuations and effects of exercise itself is necessary. Therefore, we measured the effect of an acute bout of exercise on ionized (iMg) and total plasma magnesium (tMg) in blood obtained from 18 healthy well-trained endurance athletes (age, 31.1 ± 8.1 yr.; VO2max, 50.9 ± 7.5 ml/kg/min) at multiple time points, and compared this with a resting situation. At both days, 7 blood samples were taken at set time points (8:30 fasted, 11:00, 12:30, 13:30, 15:00, 16:00, 18:30). The control day was included to correct for a putative diurnal fluctuation of magnesium. During the exercise day, athletes performed a 90 min bicycle ergometer test (70% VO2max) between 11:00 and 12:30. Whole blood samples were analyzed for iMg and plasma for tMg concentrations. Both concentrations decreased significantly after exercise (0.52 ± 0.04–0.45 ± 0.03 mmol/L and 0.81 ± 0.07–0.73 ± 0.06 mmol/L, respectively, p < .001) while no significant decline was observed during that time-interval on control days. Both, iMg and tMg, returned to baseline, on average, 2.5 hr after exercise. These findings suggest that timing of blood sampling to analyze Mg status is important. Additional research is needed to establish the recovery time after different types of exercise to come to a general advice regarding the timing of magnesium status assessment in practice.

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“The Effect of Obstructive Sleep Apnea on Peripheral Blood Amino Acid and Biogenic Amine Metabolome at Multiple Time Points Overnight“

10.21203/rs.3.rs-119577/v1 ◽

2020 ◽

Author(s):

Ott Kiens ◽

Egon Taalberg ◽

Viktoria Ivanova ◽

Ketlin Veeväli ◽

Triin Laurits ◽

...

Keyword(s):

Obstructive Sleep Apnea ◽

Amino Acid ◽

Sleep Apnea ◽

Biogenic Amines ◽

Peripheral Blood ◽

Apnea Hypopnea Index ◽

Multiple Time ◽

Blood Concentrations ◽

Time Points ◽

Obstructive Sleep

Abstract There are no clinical studies that have investigated the differences in blood serum metabolome between obstructive sleep apnea (OSA) patients and controls. In a single-center prospective observational study, we compared metabolomic profiles in the peripheral blood of OSA patients with apnea-hypopnea index (AHI) > 15/h and control individuals. Blood was obtained at 3 different time points overnight: 21:00 p.m.; 5:00 a.m. and 7:00 a.m. We used a targeted approach for detecting amino acids and biogenic amines and analyzed the data with ranked general linear model for repeated measures. We recruited 31 patients with moderate-to-severe OSA and 32 controls. Significant elevations in median concentrations of alanine, proline and kynurenine in OSA patients compared to controls were detected. Significant changes in the overnight dynamics of peripheral blood concentrations occurred in OSA: glutamine, serine, threonine, tryptophan, kynurenine and glycine levels increased, whereas a fall occurred in the same biomarker levels in controls. Phenylalanine and proline levels decreased slightly, compared to a steeper fall in controls. The study indicates that serum profiles of amino acid and biogenic amines are significantly altered in patients with OSA referring to vast pathophysiologic shifts reflected in the systemic metabolism.

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205 DEVELOPMENT OF OOCYTES FROM COWS TREATED WITH RETINOL IS COMPROMISED PRIOR TO IMPLANTATION

Reproduction Fertility and Development ◽

10.1071/rdv17n2ab205 ◽

2005 ◽

Vol 17 (2) ◽

pp. 253

Author(s):

C. Hidalgo ◽

C. Díez ◽

A. Rodríguez ◽

N. Facal ◽

J.M. Prendes ◽

...

Keyword(s):

Corn Oil ◽

Positive Control ◽

Retinyl Palmitate ◽

Time Interval ◽

Ultrasound Guided ◽

Blood Concentrations ◽

Blood Samples ◽

Effective Time ◽

Treatment Data

In the cow, sheep, and gilt, a retinoid support enhances the oocyte development (reviewed by Hidalgo C et al. 2003 Reproduction 125, 409–416). The shortest effective time interval for these animals injected with retinol (ROH) is four days, but the reasons for this have not been described. Furthermore, the development after transfer of embryos derived from oocytes of donors treated with ROH is not known. The objective of the present work was to elucidate the two above questions. We analyzed the ROH and retinyl palmitate (REP) contents in plasma and follicular fluid (FF). The estrus cycles of heifers (n = 12) were synchronized with progestagen and PGF2α. Blood samples were taken at progestagen removal (Day 0). Animals were injected with 1 × 106 ROH units (n = 6) or corn oil (vehicle; n = 6) on Days 0, 1, and 4. Contents of follicles between 3 and 10 mm were aspirated on Day 4 by an ultrasound-guided procedure. All samples were analyzed for ROH and REP by HPLC. To produce embryos for transfer, follicles were aspirated from donors treated four times with 1 × 106 ROH units/week or vehicle, starting four days before the first aspiration. Both groups of cumulus-oocyte complexes (COCs) were matured in vitro with or without 5 nM 9-cis-retinoic acid (RA). The presence of RA prolonged the exposure to retinoids (cows treated with ROH) or acted as a positive control (heifers with vehicle). Oocytes were fertilized and cultured in mSOF + 5% FCS. Embryo transfer (ET) to recipients was performed with fresh (one) or vitrified (two) good-morphology Day 7 embryos, and pregnancy monitored on Days 21, 35, and 60. Data analysis was by GLM (ROH and REP concentrations) or CATMOD (pregnancy monitoring), and Duncan's test (a,bP < 0.05; v,x,y,zP < 0.02). Average FF volume recovered were 351 ± 127 μL (controls; range 100–700) and 393 ± 127 μL (ROH; range 80–950). Concentrations of REP were unaffected by timing, follicle or blood, and ROH treatment (data not shown). Concentrations of ROH (μg/dL) for vehicle and ROH-treated cows were (LSM ± SE) 42.0 ± 1.8vx and 42.0 ± 2.4vx (plasma-Day 0, before ROH injection), 37.3 ± 1.8v and 47.64 ± 2.4x (plasma-Day 1), 42.6 ± 1.9vx and 45.5 ± 2.3vx (plasma-Day 4), and 6.1 ± 3.0y and 16.8 ± 2.6z (FF-day 4), respectively. Cumulatively, embryos from donors receiving ROH did not exhibit pregnancy on Day 21 (0/15x; confirmed on Day 35), which differed from vehicle donors on Day 21 (44%, 8/18y) and Day 35 (33%, 6/18y), and tended to differ (P = 0.07) on Day 60 (22%, 4/18). Pregnancy rates were independent of fresh or vitrified embryos within ETs. Injected ROH elevated blood concentrations of ROH, although values became normalized on Day 4. However, a coasting period of 4 days for ROH administration seems to be justified by increased intrafollicular levels of ROH. Development into blastocysts is disrupted before implantation, showing that ROH directly affects the oocyte during its intrafollicular growth. This work was supported by MCYT-AGL-2002-0117.

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Infectious Bronchitis Hatchery Vaccination: Comparison between Traditional Spray Administration and a Newly Developed Gel Delivery System in Field Conditions

Veterinary Sciences ◽

10.3390/vetsci8080145 ◽

2021 ◽

Vol 8 (8) ◽

pp. 145

Author(s):

Matteo Legnardi ◽

Henrik Baranyay ◽

Csanád Simon ◽

János Molnár ◽

Tiede Bijlsma ◽

...

Keyword(s):

Body Temperature ◽

Field Conditions ◽

Multiple Time ◽

Blood Samples ◽

Molecular Analyses ◽

Infectious Bronchitis ◽

Time Points ◽

Broiler Production ◽

Antibody Titres ◽

Multiple Time Points

The control of infectious bronchitis (IB) is essential in intensive broiler production and is pursued through strict biosecurity and mass vaccination. Despite effective and routinely adopted, hatchery spray vaccination has been hypothesized to affect chicks’ body temperature and wellbeing. Recently, gel administration has been proposed as an alternative and proved feasible in experimental settings. In this study, IBV spray and gel vaccination methods were compared in field conditions. One hundred birds from the same hatch were enrolled in the study and vaccinated, half by spray and half by gel, with 793B and Mass vaccines. After vaccination, rectal temperature was measured and vaccine intake assessed. The two groups were housed for 35 days in separate pens and swabs and blood samples were collected at multiple time points for genotype-specific molecular analyses and serology, respectively. The temperature was significantly lower in spray-vaccinated chicks 10 min and an hour after administration. A similar trend in 793B titres was observed in both groups, while the Mass vaccine was detected later but persisted longer in gel-vaccinated chicks. No differences were observed in mean antibody titres. Compared to spray, gel administration appears equally effective and less impactful on body temperature, thus supporting its application for IBV vaccination.

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Tracing the Evolution of Clonal Hematopoiesis to AML Using Longitudinal Pre-Diagnosis Blood Samples

Blood ◽

10.1182/blood-2021-147503 ◽

2021 ◽

Vol 138 (Supplement 1) ◽

pp. 599-599

Author(s):

Caroline J Watson ◽

Sophia Apostolidou ◽

Usha Menon ◽

Jamie R Blundell

Keyword(s):

High Risk ◽

Growth Rates ◽

Acquisition Time ◽

Multiple Time ◽

Clonal Interference ◽

Hematopoietic Stem ◽

Blood Samples ◽

Time Points ◽

Fitness Effects ◽

Clonal Hematopoiesis

Abstract The acquisition of somatic mutations in hematopoietic stem and progenitor cells (HSPCs) is increasingly common with age (`clonal hematopoiesis'). If sequential acquisition and clonal expansion of mutations occurs, progression to Acute Myeloid Leukemia (AML) can occur. While the mutational landscape of clonal hematopoiesis antecedent to AML development has been well-defined (Abelson et al. 2018, Desai et al. 2018), the timing of acquisition and growth dynamics of these high-risk mutations remain largely unknown. At what age are these mutations acquired? Are the fitness effects (growth rates) conferred by specific mutations predictable from person-to-person and how do fitness effects change with additive mutations? Are the clonal dynamics that precede AML development characterised by strong competition between clones (clonal interference)? To answer these questions, we identified 220 women from the United Kingdom Collaborative Trial of Ovarian Cancer Screening (UKCTOCS) who were cancer-free at enrolment but subsequently developed AML during the >12 years follow-up. 50 of these women had annual blood samples collected at multiple time-points pre-AML diagnosis (mean: 5 time-points, range: 2-11). Deep error-corrected duplex sequencing, with a variant allele frequency (VAF) detection limit of 0.1%, was performed on peripheral blood DNA from these women, as well as from age- and timepoint-matched controls who remained blood cancer free. A custom designed next-generation sequencing (NGS) panel was used to enable detection of mutations in 34 clonal hematopoiesis/AML-associated genes, genome-wide mosaic chromosomal alterations (mCAs) and AML-associated translocations. Having samples from multiple timepoints enabled the fitness effects (growth rates) of mutations to be calculated, as well as the additive effect of further mutations. These growth rates, in combination with insights from evolutionary theory, allowed the acquisition time of many mutations to be estimated, with initiating driver mutations often arising in the first 2 decades of life in the pre-AML cases. Growth trajectory dynamics of co-occurring mutations enabled the clonal composition to be inferred in many instances and revealed linear evolution of successive mutations in some pre-AML cases, but a branching pattern with clear evidence of clonal interference in others. Specific variants, which we have previously identified as 'highly fit' in clonal hematopoiesis (Watson et al. 2020), were significantly enriched in pre-AML cases compared to controls and were often detectable at VAFs >10% more than 5 years pre-diagnosis. NPM1 mutations, which characteristically occur `late' in AML development, could be detected as early as 2 years pre-diagnosis, highlighting the benefit afforded by error-corrected low VAF variant calling, particularly in high-risk individuals. Our findings, exploiting longitudinal blood samples collected pre-AML combined with an integrated assessment of multiple types of genetic changes, reveal key insights into the evolutionary dynamics of mutations in the years preceding AML development. Understanding which features distinguish pre-malignant from benign clonal evolution is key for risk stratification of individuals with clonal hematopoiesis to allow rational monitoring and identification of individuals that may benefit from early intervention studies. Figure 1 Figure 1. Disclosures Watson: Johnson & Johnson: Consultancy; Inivata: Consultancy. Menon: Abcodia Ltd: Current holder of individual stocks in a privately-held company. Blundell: Johnson & Johnson: Consultancy; Inivata: Consultancy.

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Construction of Windows for Pharmacokinetic Sampling

Austrian Journal of Statistics ◽

10.17713/ajs.v50i5.1110 ◽

2021 ◽

Vol 50 (5) ◽

pp. 23-37

Author(s):

M. Iftakhar Alam ◽

Nigar Sultana

Keyword(s):

Random Time ◽

Optimal Time ◽

Parameter Estimates ◽

Time Interval ◽

Sample Collection ◽

Maximum Information ◽

Blood Samples ◽

Time Points ◽

Optimal Criterion ◽

Sampling Windows

This paper describes a method for the construction of pharmacokinetic sampling windows so that they are around the $D$-optimum time points. Here we consider the situation where a pharmacokinetic (PK) study is accompanied by a dose-finding study in phase I clinical trial. The D-optimal criterion is often used to determine the optimal time for collecting blood samples so that they provide maximum information regarding the population PK parameters. However, collecting blood samples at the D-optimal time points is often difficult. Instead, the sampling time point chosen from a suitable time interval or window can ease the process. The proposed method is conceptually simple and considers the average value and standard deviation of D-optimal time points up to create sampling windows. Random time points can be chosen from these windows then to collect blood samples from the next cohort. The nonlinear random-effects model has been used to model the PK data. Also, we employ the continual reassessment method for dose allocation to the patients. Comparisons of the accuracy and precision for the PK parameter estimates obtained at the D-optimal and random time points are also presented. The results are convincing enough to suggest the proposed method as a useful tool for blood sample collection.

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Utilization of remote sensing for estimation of scale of cutting and growing of forest zones

Geodesy and Cartography ◽

10.22389/0016-7126-2017-920-2-57-60 ◽

2017 ◽

Vol 920 (2) ◽

pp. 57-60

Author(s):

F.E. Guliyeva

Keyword(s):

Remote Sensing ◽

Fixed Time ◽

Time Interval ◽

Time Points ◽

Average Value ◽

Time Period ◽

Remote Estimation ◽

The Given ◽

Forest Cutting

The study of results of relevant works on remote sensing of forests has shown that the known methods of remote estimation of forest cuts and growth don’t allow to calculate the objective average value of forests cut volume during the fixed time period. The existing mathematical estimates are not monotonous and make it possible to estimate primitively the scale of cutting by computing the ratio of data in two fixed time points. In the article the extreme properties of the considered estimates for deforestation and reforestation models are researched. The extreme features of integrated averaged values of given estimates upon limitations applied on variables, characterizing the deforestation and reforestation processes are studied. The integrated parameter, making it possible to calculate the averaged value of estimates of forest cutting, computed for all fixed time period with a fixed step is suggested. It is shown mathematically that the given estimate has a monotonous feature in regard of value of given time interval and make it possible to evaluate objectively the scales of forest cutting.

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Quantitative Checklist for Autism in Toddlers (Q-CHAT). A population screening study with follow-up: the case for multiple time-point screening for autism

BMJ Paediatrics Open ◽

10.1136/bmjpo-2020-000700 ◽

2021 ◽

Vol 5 (1) ◽

pp. e000700

Author(s):

Carrie Allison ◽

Fiona E Matthews ◽

Liliana Ruta ◽

Greg Pasco ◽

Renee Soufer ◽

...

Keyword(s):

Phase 1 ◽

Autism Spectrum ◽

Population Screening ◽

Diagnostic Assessment ◽

Test Accuracy ◽

Multiple Time ◽

Phase 2 ◽

Time Points ◽

Screening Study

ObjectiveThis is a prospective population screening study for autism in toddlers aged 18–30 months old using the Quantitative Checklist for Autism in Toddlers (Q-CHAT), with follow-up at age 4.DesignObservational study.SettingLuton, Bedfordshire and Cambridgeshire in the UK.Participants13 070 toddlers registered on the Child Health Surveillance Database between March 2008 and April 2009, with follow-up at age 4; 3770 (29%) were screened for autism at 18–30 months using the Q-CHAT and the Childhood Autism Spectrum Test (CAST) at follow-up at age 4.InterventionsA stratified sample across the Q-CHAT score distribution was invited for diagnostic assessment (phase 1). The 4-year follow-up included the CAST and the Checklist for Referral (CFR). All with CAST ≥15, phase 1 diagnostic assessment or with developmental concerns on the CFR were invited for diagnostic assessment (phase 2). Standardised diagnostic assessment at both time-points was conducted to establish the test accuracy of the Q-CHAT.Main outcome measuresConsensus diagnostic outcome at phase 1 and phase 2.ResultsAt phase 1, 3770 Q-CHATs were returned (29% response) and 121 undertook diagnostic assessment, of whom 11 met the criteria for autism. All 11 screened positive on the Q-CHAT. The positive predictive value (PPV) at a cut-point of 39 was 17% (95% CI 8% to 31%). At phase 2, 2005 of 3472 CASTs and CFRs were returned (58% response). 159 underwent diagnostic assessment, including 82 assessed in phase 1. All children meeting the criteria for autism identified via the Q-CHAT at phase 1 also met the criteria at phase 2. The PPV was 28% (95% CI 15% to 46%) after phase 1 and phase 2.ConclusionsThe Q-CHAT can be used at 18–30 months to identify autism and enable accelerated referral for diagnostic assessment. The low PPV suggests that for every true positive there would, however, be ~4–5 false positives. At follow-up, new cases were identified, illustrating the need for continued surveillance and rescreening at multiple time-points using developmentally sensitive instruments. Not all children who later receive a diagnosis of autism are detectable during the toddler period.

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Correlation between L-Lactate Concentrations in Beef Cattle, Obtained Using a Hand-Held Lactate Analyzer and a Lactate Assay Colorimetric Kit

Animals ◽

10.3390/ani11040926 ◽

2021 ◽

Vol 11 (4) ◽

pp. 926

Author(s):

Daniela M. Meléndez ◽

Sonia Marti ◽

Luigi Faucitano ◽

Derek B. Haley ◽

Timothy D. Schwinghamer ◽

...

Keyword(s):

Statistical Significance ◽

Road Transportation ◽

Long Distance ◽

Suitable Alternative ◽

Blood Samples ◽

Time Points ◽

Pooled Data ◽

Red Angus ◽

Relationship Of ◽

The Relationship

Lactate is a product of anaerobic glycolysis, used in animal research as an indicator of muscle fatigue. Therefore, it has been used as an indicator of cattle response to long distance transportation. The aim of this study was to assess the relationship of L-lactate concentrations measured using a Lactate Scout+ analyzer and a traditional lactate assay colorimetric kit. Blood samples were collected by venipuncture from 96 steers (Black or Red Angus × Hereford/Simmental and Black or Red Angus × Charolais; 247 ± 38.2 kg BW) prior to loading (LO1) and after 36 h of transport, and prior to reloading and after an additional 4 h of road transportation, and on d 1, 2, 3, 5, 14, and 28 after transport. The Lactate Scout+ analyzer strip was dipped in blood at the time of sampling, while blood samples were collected into sodium fluoride tubes for use in the colorimetric analysis. Pearson correlations were calculated to assess the strength of the relationship between the experimental methods for the quantification of L-lactate concentrations. The magnitude and direction of the correlation, and the level of statistical significance varied over the observed time points, ranging from r = −0.03 (p = 0.75; LO1) to r = 0.75 (p < 0.0001; d 3). The correlation for the pooled data was weak but statistically significant (r = 0.33, p < 0.0001). Based on the low magnitude of the correlation due to variability across sampling time points in this study, the Lactate Scout+ analyzer is not a suitable alternative to a lab-based assay (considered the gold standard) for measuring L-lactate in transported cattle.

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PSVII-3 Correlations between L-lactate concentrations obtained using a handheld lactate analyser and a lactate assay colorimetric kit in beef cattle transported by road

Journal of Animal Science ◽

10.1093/jas/skaa278.535 ◽

2020 ◽

Vol 98 (Supplement_4) ◽

pp. 296-297

Author(s):

Daniela M Meléndez ◽

Sonia Marti ◽

Luigi Faucitano ◽

Derek B Haley ◽

Timothy D Schwinghamer ◽

...

Keyword(s):

Statistical Significance ◽

Cost Effective ◽

Road Transportation ◽

Long Distance ◽

Suitable Alternative ◽

Blood Samples ◽

Handheld Device ◽

Time Points ◽

Relationship Of ◽

The Relationship

Abstract Blood metabolites are used to assess a variety of animal conditions for veterinary diagnosis and research. Concentration of metabolites in blood can be measured using a commercially-available lab-based assay or in real-time using a handheld device developed to be more time- and cost-effective than the lab-based method. Lactate is a product of anaerobic glycolysis, used in animal research as an indicator of muscle fatigue. Therefore, it has been used as an indicator of cattle response to long distance transportation. The aim of this study was to assess the relationship of L-lactate concentrations measured using a Lactate Scout+ analyzer (Lactate Scout, EFK Diagnostics, Barleben, Germany) and a lactate assay colorimetric kit (Lactate Assay Kit, Cell Biolabs Inc., San Diego, CA). Blood samples were collected by venipuncture from 96 steers (245 ± 35.7 kg BW) prior to (L1) and after 36 h, and prior to and after an additional 4 h of road transportation, and on d 1, 2, 3, 5, 14, and 28 after transport. The Lactate Scout+ analyzer strip was dipped in blood at the time of sampling, while blood samples were collected into sodium fluoride tubes for use in colorimetric analysis. Pearson correlations were calculated to determine the relationship between the experimental methods for the quantification of L-lactate concentrations. The strengths and levels of statistical significance of the correlation varied over the observed time points, r = -0.03, P = 0.75 (L1) to r = 0.75, P = < 0.0001 (d 3). The correlation for the pooled data was weak but statistically significant (r = 0.33, P < 0.001). Based on the experimental results, the Lactate Scout+ analyzer is not a suitable alternative to a lab-based assay for measuring L-lactate in transported cattle, due to variability across sampling time points and weak correlation with the traditional enzymatic method.

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Use of TanDEM-X and SRTM-C Data for Detection of Deforestation Caused by Bark Beetle in Central European Mountains

Remote Sensing ◽

10.3390/rs13153042 ◽

2021 ◽

Vol 13 (15) ◽

pp. 3042

Author(s):

Kateřina Gdulová ◽

Jana Marešová ◽

Vojtěch Barták ◽

Marta Szostak ◽

Jaroslav Červenka ◽

...

Keyword(s):

Bark Beetle ◽

Synergistic Effects ◽

Canopy Height ◽

Surface Model ◽

Multiple Time ◽

Central European ◽

Time Points ◽

Bohemian Forest ◽

Multiple Time Points ◽

Surrounding Areas

The availability of global digital elevation models (DEMs) from multiple time points allows their combination for analysing vegetation changes. The combination of models (e.g., SRTM and TanDEM-X) can contain errors, which can, due to their synergistic effects, yield incorrect results. We used a high-resolution LiDAR-derived digital surface model (DSM) to evaluate the accuracy of canopy height estimates of the aforementioned global DEMs. In addition, we subtracted SRTM and TanDEM-X data at 90 and 30 m resolutions, respectively, to detect deforestation caused by bark beetle disturbance and evaluated the associations of their difference with terrain characteristics. The study areas covered three Central European mountain ranges and their surrounding areas: Bohemian Forest, Erzgebirge, and Giant Mountains. We found that vertical bias of SRTM and TanDEM-X, relative to the canopy height, is similar with negative values of up to −2.5 m and LE90s below 7.8 m in non-forest areas. In forests, the vertical bias of SRTM and TanDEM-X ranged from −0.5 to 4.1 m and LE90s from 7.2 to 11.0 m, respectively. The height differences between SRTM and TanDEM-X show moderate dependence on the slope and its orientation. LE90s for TDX-SRTM differences tended to be smaller for east-facing than for west-facing slopes, and varied, with aspect, by up to 1.5 m in non-forest areas and 3 m in forests, respectively. Finally, subtracting SRTM and NASA DEMs from TanDEM-X and Copernicus DEMs, respectively, successfully identified large areas of deforestation caused by hurricane Kyril in 2007 and a subsequent bark beetle disturbance in the Bohemian Forest. However, local errors in TanDEM-X, associated mainly with forest-covered west-facing slopes, resulted in erroneous identification of deforestation. Therefore, caution is needed when combining SRTM and TanDEM-X data in multitemporal studies in a mountain environment. Still, we can conclude that SRTM and TanDEM-X data represent suitable near global sources for the identification of deforestation in the period between the time points of their acquisition.

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