Clinical Science (2001) 100, 101–110 (Printed in Great Britain) Protein and energy metabolism in chronic bacterial infection: studies in melioidosis Nicholas I. PATON*, Brian ANGUS†‡, Wipada CHAOWAGUL§, Andrew J. SIMPSON†‡, Yupin SUPUTTAMONGKOL†, Marinos ELIAR, Graham CALDER¶, Eric MILNE¶, Nicholas J. WHITE†‡ and George E. GRIFFIN*† *St. George’s Hospital Medical School, Cranmer Terrace, London SW17 0RE, U.K., †Faculty of Tropical Medicine, Mahidol University, Bangkok 10400, Thailand, ‡Nuffield Department of Clinical Medicine, John Radcliffe Hospital, Oxford, U.K., §Department of Medicine, Sappasitprasong Hospital, Ubon Ratchatani, Thailand, RDunn Clinical Nutrition Centre, Cambridge CB2 2DH, U.K., and ¶Rowett Research Institute, Aberdeen AB2 9SB, U.K. A B S T R A C T Chronic infection is often accompanied by a wasting process, the metabolic basis of which is not fully understood. The aims of the present study were to measure protein and energy metabolism in patients with melioidosis (a serious and antibiotic-refractory Gram-negative bacterial infection which is endemic in South-East Asia) in order to define the metabolic abnormalities that might contribute to wasting. Whole-body protein turnover was measured using the [13C]leucine technique, both in the fasted state and while consuming a high-energy meal. Resting energy expenditure was measured by indirect calorimetry, and total energy expenditure by the bicarbonate/urea method. Results were normalized for fat-free mass, as estimated from skinfold thickness. Protein turnover was increased in melioidosis patients compared with healthy controls during fasting (170.9 compared with 124.1 µmol:kg−1:h−1 ; P l 0.04), but the net rate of catabolism (22.2 compared with 20.5 µmol:kg−1:h−1 ; P l 0.77) and the anabolic response to feeding were similar in the two groups. Resting energy expenditure was higher in melioidosis patients compared with controls (191.4 and 157.3 kJ:kg−1:day−1 respectively ; P l 0.04), but total energy expenditure (measured in a separate group of eight patients with melioidosis) was low (192.1 kJ:kg−1:day−1). In conclusion, this study found no evidence of metabolic causative factors, such as accelerated net protein catabolism during fasting, a blunted anabolic response to feeding or increased daily energy expenditure, and therefore suggests that reduced energy intake is the prime cause of wasting. The observed normal response to feeding should encourage nutritional approaches to prevent wasting. INTRODUCTION Changes in protein and energy metabolism form an integral part of the host response to infection. In simple terms, a hypermetabolic state with negative nitrogen and energy balance usually arises, which leads to muscle wasting and weight loss [1]. In acute infections the changes are short-lived and reverse quickly upon recovery from infection [2,3]. Indeed, the response may confer some benefit to the host : the breakdown of muscle may supply amino acids for the synthesis of acute-phase proteins and for use as an energy source to sustain vital organ function. However, in chronic infections the protracted metabolic response can cause such severe muscle wasting and weight loss that physical function is compromised. In addition, malnutrition may impair many aspects of the immune response and recovery process [4]. Key words: energy expenditure, infection, melioidosis, protein metabolism. Abbreviations: BMI, body mass index ; CRP, C-reactive protein ; FFM, fat-free mass ; MAC, mid-arm circumference ; REE, resting energy expenditure ; TEE, total energy expenditure. Correspondence: Dr N. I. Paton, Department of Infectious Diseases, Communicable Disease Centre, Tan Tock Seng Hospital, Moulmein Road, Singapore 308433 (e-mail PatonINIJ!notes.ttsh.gov.sg). # 2001 The Biochemical Society and the Medical Research Society 101 102 N. I. Paton and others The process of wasting may be conceptualized in several ways. In terms of protein metabolism, there may be accelerated net catabolism of body protein in the fasted state, or there may be a block to the effective utilization of nutrients upon feeding, such that the nutrition is stored as fat rather than promoting protein accretion. In terms of energy metabolism, there may be increased energy requirements or a decrease in energy intake. One or all of these processes may be operative in chronic infection, but the few previous studies that have been performed have not shown a consistent picture. Melioidosis is a severe infection caused by the Gramnegative bacillus Burkholderia pseudomallei which is endemic in South-East Asia and particularly common in North-East Thailand, where the incidence is estimated at 4.4 per 100 000 population [5]. The acute septicaemic presentation has a high mortality (40 %), even though the condition is well recognized, the diagnosis can be confirmed rapidly [6,7] and optimal antibiotic therapy can be instituted promptly [8]. Sub-acute or chronic melioidosis, which may follow the acute episode or which may be the presenting pattern, is characterized by chronic abscesses, often in the liver or spleen, which usually require prolonged antibiotic therapy and surgical drainage to effect a cure. The response to effective antibiotic therapy is slow. The median time to fever clearance is 9 days, and in some cases the fever may persist for over 1 month [9]. There is a high relapse rate even when oral antibiotics are continued for more than 3 months [10]. This prolonged infected state is often associated with profound wasting [11], which contributes to the morbidity and mortality from the disease and may increase the relapse rate by impairing the immune response. Melioidosis therefore represents a good model in which to study the metabolic effects of a chronic infection. The aims of the present study were to use isotope tracer methods to investigate disturbances of protein and energy metabolism in chronic melioidosis. In particular, we set out to determine whether there is increased net protein catabolism in the fasted phase, a block to the utilization of nutrients in the fed state, or increased total energy expenditure (TEE), any or all of which might contribute to the wasting process. METHODS Subjects The study was performed at Sappasitprasong Hospital, Ubon Ratchathani, North-East Thailand. This is an area with a high incidence of melioidosis. Consecutive adult patients hospitalized with melioidosis who had received less than 2 weeks of effective antibiotic treatment were studied. A similar group of subjects who had been fully treated for melioidosis at least 1 year previously were # 2001 The Biochemical Society and the Medical Research Society recruited from an out-patient clinic to serve as controls. Patients with Type I (insulin-dependent) diabetes mellitus were excluded due to potential problems with the fasting\feeding protocol, but those with Type II (non-insulin-dependent) diabetes mellitus were permitted to participate. Patients with significant renal impairment (serum creatinine more than twice the upper limit of normal) were also excluded from the protein metabolism study. The study was conducted in accordance with the Declaration of Helsinki (1989) of the World Medical Association, and the protocols were approved by the Ethical Review Subcommittee of the Research Committee, Ministry of Public Health, Thailand. All subjects gave informed consent to the study. Anthropometric measurements and clinical assessment Subjects were weighed (to the nearest 0.1 kg) on calibrated digital electronic scales and height was measured (to the nearest 1 mm) using a portable stadiometer. Body mass index (BMI) was then calculated as weight (kg) divided by height (m) squared. Skinfold thickness was measured at four sites (triceps, biceps, subscapular and supra-iliac), and the measurements were converted into estimates of body density using the age- and sex-specific prediction equations of Durnin and Womersley [12]. Percentage body fat was calculated from body density using the Siri equation [13], and fat-free mass (FFM) was then calculated from percentage fat and body weight. Mid-arm circumference (MAC) was measured (to the nearest 1 mm) using a metal tape measure on the non-dominant arm, midway between the tip of the acromion and olecranon processes. Body temperature was recorded at 4 h intervals during the study day. Levels of C-reactive protein (CRP), albumin and total protein were measured in plasma using standard automated assays. Protein turnover Protein-turnover studies were conducted under controlled conditions and at constant ambient temperature in the Respiratory Care Unit of the hospital. Whole-body protein turnover was measured using an 8 h protocol similar that described originally for assessing the protein metabolic response to oral feeding in normal subjects [14] and in patients with lung cancer [15]. An infusion of the stable-isotope tracer amino acid L-[l-"$C]leucine (99 atom % ; MassTrace, Woburn, MA, U.S.A.) was administered through a forearm intravenous cannula at a rate of 2.3 µmol:kg−":h−" after a priming dose of 2.88 µmol\kg (equivalent to 1.25 h of infusion). The infusion began at approximately 08.00 hours on the study day and was continued for 8 h. Samples of blood (5 ml) were taken through a second intravenous cannula sited in the non-infusion arm, before starting the infusion and at Metabolism in melioidosis 30-min intervals during the plateau phases (hours 2–4 in the fasted phase and hours 6–8 in the fed phase). Samples of breath were collected by transfer into evacuated tubes at the same time points. Total CO production and O # # consumption were measured over periods of 15–20 min at intervals during the plateau phases using a ventilated hood and metabolic monitor (Deltatrac ; Datex Instrumentarium, Helsinki, Finland). Subjects were studied after an overnight fast and remained in a fasting state for the first 4 h of the protocol. In the following 4 h, they were given regular hourly drinks made by mixing 0.7 g:kg−" body weight of Ensure powder (Ross Laboratories, Columbus, OH, U.S.A.) with sterile water to form a volume of approx. 150 ml. The composition of Ensure is 61.6 g of carbohydrate, 15.8 g of fat and 15.8 g of protein per 100 g of powder. The energy intake during feeding was 13.4 kJ:kg−" body weight:h−", in the proportions 14 % protein, 31.5 % fat and 54.5 % carbohydrate. This regimen was designed to provide one-third of daily energy requirements (estimated as 160 kJ:kg−" body weight:day−") over the 4-h feeding period. Isotopic enrichments of ["$C]leucine and ["$C]αketoisocaproic acid (the deamination product of leucine) in serum were measured by GC–MS (VG12–250 ; VG Masslab, Altrincham, Cheshire, U.K.), and isotopic enrichment of "$CO was measured by gas isotope ratio # MS (SIRA 12 ; VG Isogas Ltd, Middlewich, Cheshire, U.K.). Breath "$CO enrichment was calculated in the # fasting state by subtraction of the enrichment before infusion of leucine, and in the fed state by subtraction of the mean enrichment seen in a group of four individuals receiving an identical oral nutrition regimen but not receiving ["$C]leucine. Measurement of TEE TEE was estimated from total daily CO production, # measured by the bicarbonate\urea method as described previously [16]. In brief, approx. 6–7 ml of a solution of Na"%CO (5 µCi\ml ; Amersham International, Little $ Chalfont, Bucks., U.K.) was administered by constant subcutaneous infusion using a mini-pump syringe driver (Graseby MS26 Syringe Driver ; Graseby Medical Ltd, Colonial Way, Watford, U.K.) over a 2-day period starting and ending in the morning. The exact dose of bicarbonate infused was determined by weighing the syringe, extension tube (100 cm Lectro-spiral extension tube ; Vygon UK Ltd, Cirencester, Gloucester, U.K.) and syringe driver on an electronic balance sensitive to 0.001 g immediately before connection to the patient and again after completing the study. The effective whole-body dose of radiation during the entire study was estimated to be less than 1 day’s natural background radiation. A 22-gauge cannula was inserted subcutaneously on the abdomen and a 0.5 ml priming dose of a solution of ["%C]urea (0.22 µCi\ml ; Sigma Chemical Co., Poole, Dorset, U.K.) was injected. The extension tube was then connected to the cannula and the whole was secured to the skin with transparent plastic adhesive dressing (Opsite Flexigrid, 10 cmi12 cm ; Smith and Nephew Medical Ltd, Hull, U.K.). The infusion was begun and the exact starting time was noted. The studies were conducted on free-living patients in the general ward with culture-proven melioidosis. The pump was placed in a cloth pouch and placed beside the patient on the bed. When the patient wished to walk about, the pouch was carried in the hand or in a sling around the neck. A normal hospital diet was provided throughout the period of the study, but details were not recorded. Urine was collected into a 3-litre bottle to which 5 ml of chlorhexidine had been added as a preservative. Urine collection was started after the infusion had been running for 18–24 h, beginning after the first morning urine had been passed, and continuing for 24 h to finish with the inclusion of the first morning specimen of the following day. The bottle was kept by the patient’s bedside, and they were instructed to collect all urine passed over the 24 h period. The collection was monitored by the ward nursing staff, and the investigator also asked the patients to verify at the end of the time period that they had achieved a complete collection of urine. Where there was doubt about the quality of the collection, the samples were not processed further. Aliquots were taken from the complete urine collections and were stored at k20 mC until analysed. Analysis of the specific radioactivity of "%CO trapped # in urinary urea was performed as described previously [16]. In brief, after removal of acid-labile CO dissolved # in the urine, urease was added and the CO released from # urea was sequestered by hyamine hydroxide. The specific radioactivity of the trapped "%CO was determined by # scintillation counting. Calculations Whole-body protein turnover Rates of whole-body leucine metabolism were calculated as described previously [14,17]. Leucine flux was calculated by dividing the rate of tracer infusion by the plateau serum leucine enrichment. Leucine oxidation was obtained by multiplying the rate of CO production by # the breath "$CO enrichment at plateau (adjusted for # incomplete recovery using previously published correction factors of 0.74 and 0.87 for the fasted and fed phases respectively) [14,17] and then dividing by the serum enrichment of ["$C]α-ketoisocaproic acid at plateau as the precursor for leucine oxidation. The rate of leucine infusion was subtracted from the oxidation rate to give a value for endogenous oxidation. Protein synthesis was calculated as the difference between the flux and the rate of oxidation. Protein breakdown was calculated as the difference between the flux and the # 2001 The Biochemical Society and the Medical Research Society 103 104 N. I. Paton and others intake of leucine from the infusion and the diet. Net protein catabolism or anabolism was calculated as the difference between protein synthesis and protein breakdown ; the net catabolic rate was equivalent, therefore, to the rate of oxidation in the fasted phase, and the net anabolic rate was equivalent to the difference between oxidation rate and intake in the fed phase. Leucine kinetic data were normalized using as the denominator FFM obtained by skinfold thickness measurements. The sample size was calculated for the primary endpoint of net protein balance in the fed phase, as the principal hypothesis of interest was whether there was any evidence of anabolic block. Data obtained previously using a similar protocol in patients with tuberculosis showed a mean fed balance of 24.5p9.3 µmol:kg−":h−". To detect a 50 % difference in mean protein balance between groups using a two-sample t-test, with type I and II errors of 5 % and 20 % respectively, a sample size of nine subjects per group was required. Substrate utilization Substrate utilization was calculated from measurements of O consumption, CO production and protein oxi# # dation rate (calculated from leucine kinetics) in the postabsorptive and fed states using a stoichiometric approach [17,18]. The factor for converting leucine oxidation into protein oxidation was taken as 0.61 mmol of leucine\g of protein (leucine content of body protein) during fasting, and 0.674 mmol of leucine\g of protein (leucine content of Ensure) during feeding. Results were expressed in terms of both the amount of each substrate utilized and the relative contribution to energy supply, assuming energy values of 15.7, 39.1 and 18.4 kJ\g for carbohydrate (as monosaccharide), fat and protein respectively. Energy expenditure Resting energy expenditure (REE) was calculated from the measurements of CO production and O con# # sumption made during the fasting phase of the protein turnover protocol, using the following formula [19] : REE (kJ) l 15.818O j5.176CO # # Predicted REE values were calculated from Schofield’s equations, which are based on height and weight for appropriate age categories [20]. Total daily CO production was calculated from the # results of the bicarbonate\urea measurements, using the following equation [16] : CO production (mol\day) l [0.95i0.85iinfused # bicarbonate (d.p.m.\day)]\[specific radioactivity (d.p.m.\mol)]. TEE was calculated from net CO production using an # energy equivalent of 559 kJ\mol of CO [21], assuming a # respiratory quotient of 0.80, which is appropriate for subjects in moderate negative energy balance. Statistical analysis Protein turnover rates, substrate utilization rates and REE were compared between melioidosis patients and controls using Student’s t-test. The response of protein metabolism to feeding was assessed within each group by paired t-test and between groups by unpaired t-test. The relationships between clinical, laboratory and metabolic parameters were assessed by calculation of Pearson’s correlation coefficient. # 2001 The Biochemical Society and the Medical Research Society RESULTS Subject characteristics Measurements of protein metabolism and REE were performed on nine patients with melioidosis. The sites of infection were pneumonia (2), arthritis of the knee (2), osteomyelitis of the tibia (1), pericarditis (1), liver and spleen abscess (1), splenic abscess alone (1) and septicaemia (1). B. pseudomallei was grown in bacteriological cultures for eight of these patients, and melioidosis was considered the most likely diagnosis on clinical grounds in the remaining patient. This patient had sterile blood cultures and a splenic abscess which could not be aspirated safely, and responded to appropriate antibiotic therapy for melioidosis. The mean duration of symptoms before the study was 25 days (range 13–50 days), and the mean duration of antibiotic therapy (ceftazidime in six, imipenem in two, and amoxicillin\clavulanic acid in one patient) before the study was 8 days. All the patients were febrile on the day of study (mean maximum temperature on the study day was 38.4 mC). Nine control subjects were also studied. They had been treated for melioidosis an average of 4 years previously (range 1–7 years), and all were well and free from symptoms of infection at the time of study. The underlying risk factors, sex distribution and age were similar in patient and control groups (Table 1). Indices of nutritional status, such as BMI and MAC, were lower in the patients with current melioidosis than in control subjects, but the differences were not significant (Table 1). Serum albumin was significantly lowered and CRP was significantly increased in the patients with melioidosis (Table 1). TEE was measured in a separate group of eight patients, all of whom had culture-proven melioidosis. The sites of infection were pneumonia (3), liver and spleen abscess (2), kidney (2), septicaemia and splenic abscess (1) and buttock abscess (1). The duration of antibiotic therapy (9 days), underlying risk factors (diabetes, 5 ; chronic renal impairment, 1), sex distribution (four males\four females), age (44 years) and anthropometric characteristics (weight 45.7p10.3 kg ; BMI 18.7p4.2 kg\m# ; FFM 36.5p7.9 kg) were similar to those of the melioidosis patients participating in the protein metabolism study (see above and Table 1). Metabolism in melioidosis Table 1 Clinical and anthropometric characteristics and selected laboratory parameters for the study subjects Values are meanspS.D. (n l 9 in each group). Parameter Controls Melioidosis patients P Type II diabetes (n ) Renal impairment (n ) Thalassaemia (n ) Sex (male/female) Age (years) Height (cm) Weight (kg) BMI (kg/m2) FFM (kg) Fat (kg) MAC (cm) Albumin (g/l) CRP (mg/l) Total protein (g/l) 7 1 2 4/5 47.9p12.9 155.5p4.2 49.7p8.3 20.6p3.4 37.2p5.8 12.5p5.7 26.0p3.6 34.1p3.9 18.1p15.0 81.1p5.4 5 0 2 4/5 40.2p11.8 159.7p6.7 47.0p8.6 18.4p3.1 35.9p5.7 11.1p5.7 24.5p2.9 22.4p3.6 89.0p74.3 77.6p12.5 – – – – 0.21 0.13 0.51 0.18 0.65 0.60 0.33 0.001 0.01 0.44 Table 2 Protein metabolism parameters in the fasted and fed states Data are meanspS.D. (n l 9 in each group). Values are expressed in terms of leucine flux per unit FFM, as measured by skinfolds. Value (µmol:kg−1:h−1) Parameter Controls Melioidosis patients P Fasted state Flux Synthesis Breakdown Oxidation Net catabolism 124.1p27.2 103.6p20.0 124.1p27.2 20.5p10.9 k20.5p10.9 170.9p58.3 148.7p50.0 170.9p58.3 22.2p13.1 k22.2p13.1 0.044 0.02 0.044 0.77 0.77 Fed state Flux Synthesis Breakdown Oxidation Net anabolism 149.0p28.2 86.8p22.0 48.7p34.7 62.1p25.7 38.2p29.7 202.5p54.3 133.5p46.1 100.5p52.6 69.0p19.6 33.0p33.0 0.02 0.015 0.025 0.54 0.73 24.9p11.4 k18.6p22.1 k75.4p16.0 41.7p20.7 58.6p24.1 31.6p18.7 k15.2p20.3 k70.4p21.3 46.8p19.6 55.2p32.3 Fed–fasted change Flux Synthesis Breakdown Oxidation Net anabolic response 0.37 0.87 0.58 0.59 0.80 Protein metabolism The results of protein metabolism measurements are shown in Table 2. In the fasted state, the rate of protein turnover, as indicated by leucine flux, was increased by Table 3 Substrate utilization in the fasted and fed states Values are meanspS.D. (n l 9 in each group). Values are expressed as the amount of each substrate used per kg FFM, as measured by skinfolds, and in terms of the percentage contribution to REE at rest. Balance is the net utilization in the fed phase after subtraction of intake. Negative values indicate storage. Parameter Fasted state Utilization (g:kg−1:day−1) Carbohydrate Fat Protein Contribution to REE ( %) Carbohydrate Fat Protein Controls Melioidosis patients P 3.34p1.01 2.32p0.84 0.80p0.43 1.92p2.12 3.64p1.22 0.87p0.52 0.09 0.016 0.77 34.3p12.9 56.2p14.8 9.5p4.8 16.7p17.3 75.1p17.2 8.2p3.6 0.027 0.024 0.53 4.99p1.52 1.84p0.97 2.21p0.92 3.53p2.62 3.08p1.31 2.46p0.70 0.17 0.036 0.53 41.8p13.4 37.1p16.1 21.1p6.9 25.6p18.3 54.1p18.4 20.4p5.0 0.048 0.053 0.79 Fed state (balance) Utilization (g:kg−1:day−1) Carbohydrate k8.79p2.21 Fat k1.70p1.1 Protein k1.32p1.06 k10.48p4.00 k0.51p1.32 k1.14p1.17 Fed state (total) Utilization (g:kg−1:day−1) Carbohydrate Fat Protein Contribution to REE ( %) Carbohydrate Fat Protein 0.28 0.05 0.73 38 % in the melioidosis patients compared with the controls (170.9 and 124.1 µmol:kg−":h−" respectively ; P l 0.044). The rates of protein synthesis and breakdown were increased to an equal degree, so that the rate of protein oxidation, and hence the net protein catabolic rate, did not differ between the melioidosis and control groups. In the fed phase, protein turnover was increased by 36 % in the melioidosis patients compared with the controls (202.5 and 149.0 µmol:kg−":h−" respectively ; P l 0.02). Synthesis and breakdown were increased in parallel, so that the rate of protein oxidation and the rate of net protein anabolism did not differ between the melioidosis and control patients. Upon feeding, both groups showed a significant decrease in the rate of protein breakdown (P 0.01) and a significant increase in the rate of protein oxidation (P 0.01), but the rate of protein synthesis was unchanged (P 0.05). The magnitude of these changes, as well as the switch from net catabolism to net anabolism, was the same in both groups. Rates of substrate utilization are shown in Table 3. In # 2001 The Biochemical Society and the Medical Research Society 105 106 N. I. Paton and others Table 4 Energy expenditure parameters Values are meanspS.D. (n l 9 in each group). Predicted REE was obtained using Schofield’s equations [20]. The predicted REE for the nine patients who underwent REE measurements was 5.31p0.56 MJ/day, and that for the eight patients who underwent TEE measurements was 5.37p0.80 MJ/day. Melioidosis patients P REE absolute (MJ/day) 5.83p1.09 REE/body weight (kJ:kg−1:day−1) 119.3p25.8 REE/FFM (kJ:kg−1:day−1) 157.3p21.8 REE absolute/predicted REE ( %) 108.4p19.2 6.77p1.20 148.1p35.6 191.4p38.7 128.7p26.0 0.10 0.067 0.04 0.08 TEE absolute (MJ/day) TEE/body weight (kJ:kg−1:day−1) TEE/FFM (kJ:kg−1:day−1) TEE absolute/predicted REE 6.89p1.41 153.3p24.9 192.1p30.7 1.29p0.20 – – – – Energy parameter Controls – – – – Figure 1 Protein turnover (in the fasted state) against temperature in melioidosis patients the fasted phase, patients with melioidosis derived more energy from fat and less from carbohydrate than did the controls. There was no difference in the contribution of protein oxidation to energy requirements. A similar pattern was seen in the fed phase. There was net storage of all three substrates in the fed phase (indicated by negative values for utilization), and the pattern was similar in the two groups, although the melioidosis patients appeared to store less fat than the controls (P l 0.05). Energy metabolism The results of energy expenditure measurements are shown in Table 4. In the melioidosis patients, REE was elevated by a mean of 28 % above predicted levels (P l 0.009) and by 22 % above the control values normalized for FFM (P l 0.04). The mean value of TEE in melioidosis patients was 6.89p1.41 MJ\day (range 4.84–9.58 MJ\day). For this group of subjects, the mean predicted REE was 5.37p0.80 MJ\day and the ratio of TEE to predicted REE was 1.29p0.20 (range 1.12–1.69). # 2001 The Biochemical Society and the Medical Research Society Figure 2 Protein oxidation (in the fasted state) against BMI in melioidosis patients Relationships between metabolic, clinical and laboratory parameters There was no significant correlation between any metabolic variable and the nutritional and clinical variables in the control group. In the melioidosis patients, flux in the fasted phase was significantly correlated with CRP (r l 0.70, P l 0.04) and fever (r l 0.825, P l 0.006), as shown in Figure 1, but not with BMI (r lk0.493, P l 0.18) or MAC (r lk0.26, P l 0.49). Oxidation in the fasted phase showed a significant negative correlation with indices of nutritional status (BMI, r lk0.71, P 0.05 ; MAC, r lk0.64, P l 0.06), as shown in Figure 2, but not with indices of inflammation (CRP, r l 0.34, P l 0.36 ; fever, r l 0.38, P l 0.31). A similar pattern was seen in the fed phase, with protein turnover showing relationships with parameters of inflammation (fever, r l 0.92, P l 0.001 ; CRP, r l 0.67, P l 0.047), but not with nutritional parameters. Fed-phase protein oxidation had a weak relationship with some nutritional parameters (BMI, r lk0.60, P l 0.09 ; MAC, r lk0.58, P l 0.10) and a significant relationship with fever (r l 0.68, P l 0.04). In the melioidosis patients, normalized REE was significantly correlated with protein flux (r l 0.70, P l 0.02) and oxidation (r l 0.73, P l 0.02) in the fasted phase. DISCUSSION We have shown that patients with melioidosis, a serious systemic Gram-negative bacterial infection characterized by abscess formation and a marked inflammatory response, had increased rates of protein turnover (the continuous cycling between breakdown and re-synthesis of proteins) in comparison with a group of control subjects without active infection. The increased turnover was found in both the fasted and fed states. Accelerated whole-body protein turnover is a well recognized feature of acute infection, and has been described in patients with Metabolism in melioidosis surgical sepsis due to heterogeneous bacterial pathogens [22,23], as well as in patients with specific acute infections such as measles [24] and malaria [25]. The findings of the present study, together with several previous studies that have demonstrated increased turnover in HIV infection [26,27], suggest that increased turnover is also a feature of sub-acute and chronic infection. However, one study of HIV infection [28] and another of tuberculosis [29] found reduced or normal protein turnover. The reason for the variability in chronic infection is unknown, although severe malnutrition may attenuate the response to infection [24], and variations in cytokine secretion may also play a role, as discussed below. The cause of this increase in protein turnover is unclear. We found a close relationship (high correlation) between the maximum body temperature on the day of the study and the magnitude of the elevation of protein turnover, as noted previously in some studies of acute infection [24,25]. As well as a direct effect of temperature on protein metabolism, which has been documented in animal studies [30], this relationship probably also represents a parallel response to one or more inflammatory mediators, such as the pro-inflammatory cytokines tumour necrosis factor, interleukin-1 and interleukin-6, which are thought to affect protein turnover [3]. Although we did not measure cytokines in the present study, previous studies have shown that levels of tumour necrosis factor [31], interleukin-6, interleukin-8 (the latter possibly reflecting interleukin-1 secretion) [32], interferon-γ and soluble interleukin-2 receptors [33] are elevated considerably in patients with melioidosis. A large part of the increased turnover may be accounted for by increased synthesis of acute-phase reactants. This is supported by our finding of a close relationship between the CRP level and the rate of protein synthesis (r l 0.72) in both the fasted and the fed phases. The accelerated turnover in the fasted state comprised almost equal increases in the rates of synthesis and breakdown, so that the rate of oxidation and net protein catabolism were no different from those in the controls. This contrasts with the classical description of changes occurring in the stressed state [1] and in many studies of acute infections [23], where protein breakdown is increased more than protein synthesis, so that there is an increase in the net loss of nitrogen. However, our findings are consistent with several previous studies of chronic infections, such as HIV infection [26], chronically infected cystic fibrosis patients [34] and tuberculosis [29], which have shown normal oxidation and net protein catabolism in the fasted phase. This suggests that subacute or chronic infection may be distinguished from other stress states by an adaptive response that serves to limit oxidation and thereby attenuate nitrogen loss. This phenomenon is well illustrated by an experiment (conducted over half a century ago) in which repeated episodes of malaria were induced in a group of patients as treatment for meningovascular syphilis. There was a progressive decrease in the magnitude of negative nitrogen balance with each febrile episode [35]. The trigger for this adaptive response might be the prolonged reduction in energy and\or protein intake caused by the anorexia associated with chronic infection, or perhaps an alteration in the pattern of cytokine secretion during the course of chronic infection. The significant negative correlation which we found between the protein oxidation rate and BMI is of interest, suggesting that the adaptive response is more successful in better-nourished patients, perhaps because such patients are more readily able to switch to utilization of fat for energy supply in times of need. This is also consistent with the observation that fatter people lose a lower proportion of lean tissue (and, by inference, have lower protein oxidation rates) than do lean people during starvation [36]. This present study is limited, as are all previous stable isotope studies of protein metabolism in chronic infections, by its crosssectional design. Longitudinal studies, with repeated measurements at various stages of chronic infection, might prove valuable in defining further the adaptive changes that may occur during chronic infection. The protocol used in the present study permitted us to examine specifically the effects of feeding on protein metabolism. We found a similar response to feeding in patients and controls, with the primary change being a decrease in the rate of protein breakdown, as has been shown previously in normal individuals [14] and patients with lung cancer [15]. Although fat storage was significantly reduced (reflecting the increased reliance on oxidization of fat for meeting energy requirements during sepsis), the net storage of protein was quantitatively normal in patients with melioidosis. This is in keeping with studies in which parenteral nutrition led to a normal protein anabolic response in patients with HIV infection [26,27], but contrasts with a study of enteral nutrition in tuberculosis, which appeared to show an ‘ anabolic block ’ to the utilization of nutrients [29]. It may be that tuberculosis has unique properties not shared by other chronic infections : indeed, there is some evidence from body composition studies in patients with HIV infection suggesting that concomitant tuberculosis may result in a ‘ hypermetabolic ’ pattern of wasting (excessive lean tissue loss), as opposed to the ‘ starvation ’ pattern (lean and fat tissue loss seen in balanced proportions) observed with other opportunistic infections [37,38]. In addition, a small longitudinal study of body composition found that HIV patients with secondary infections (including mycobacterial infections) fail to accrue lean tissue when fed with parenteral nutrition [39]. Nevertheless, in patients with melioidosis (and probably in most other chronic infection states), the normal anabolic response to nutrition provides a rationale for the provision of additional feeding to ensure that adequate energy and protein intake is maintained. # 2001 The Biochemical Society and the Medical Research Society 107 108 N. I. Paton and others We also found that REE was significantly elevated in the patients with melioidosis. The magnitude of the increase (22 % above control values) is similar to that seen in patients with other chronic infections, such as tuberculosis (21 % increase) [29] and stable patients with HIV infection (10 % increase) [40]. There was a significant correlation (r l 0.7) between fasting protein turnover and REE, suggesting that the increased REE may be attributable in part to the energy cost of increased protein turnover. In contrast with the raised REE, TEE (which includes the energy produced by feeding and the energy expenditure due to physical activity) appeared relatively low : the ratio of TEE to predicted REE was 1.29, in comparison with the ratios of approx. 1.5–1.8 that are characteristic of lightly to moderately active healthy men and women [41]. If an REE of 28 % above predicted values is used for the denominator, then the ratio would be even lower (close to 1.0). These low ratios indicate that patients with melioidosis have a dramatic decrease (indeed, a virtual abolition) of physical activity. This is in keeping with the clinical observation that the patients in the present study, although free to move about as desired, spent the majority of their time completely immobile in bed. A similar pattern of raised REE and low TEE has been observed in patients with HIV infection [42,43], and this may be characteristic of chronic infection in general. Energy requirements are traditionally considered to be increased in the presence of fever, but the present study suggests that the converse may be true in patients with chronic infection. Studies of TEE during infection have been restricted, until recently, by the availability of only one technique for measurement : the double-labelled water method. This is expensive, requires access to sophisticated laboratory equipment for analysis, and is of limited accuracy in very hot climates due to the rapid turnover of body water. In contrast, the newer bicarbonate\urea method is cheap, relatively simple to analyse and is unlikely to be affected by climate. The present study is the first to apply the method in a tropical setting, and we found the technique to be feasible and to give plausible results. This should encourage further studies using this novel method. A large number of the patients and control subjects had Type II diabetes mellitus, which was expected, as diabetes is known to be the major risk factor for melioidosis [5,44]. Although Type I diabetes mellitus is associated with increased protein oxidation when diabetic control is inadequate [45], it has been shown that patients with Type II diabetes have normal protein metabolism, at least in the fed state [46]. As (1) we excluded patients with Type I diabetes, (2) there were equal numbers of patients with Type II diabetes in each group, and (3) there was no difference between diabetics and non-diabetics in any protein turnover parameter, it is unlikely that this factor had any major effect on the results. Although all the nutritional parameters were lower in the patients with # 2001 The Biochemical Society and the Medical Research Society melioidosis compared with the controls, only the decrease in serum albumin was statistically significant. This reflects both the limitations of the methods used for the measurement of nutritional status (an expansion of extracellular water would minimize the observed decrease in FFM) [37], and perhaps the fact that patients were studied relatively early in the course of infection. Wasting is likely to become marked only after many weeks of persistent inflammation. These protein and energy metabolism studies have effectively refuted all three of the metabolic abnormalities which we hypothesized might be present in melioidosis (increased net protein catabolism in the fasted phase, a blunted anabolic response to feeding, and increased TEE). The logical conclusion from this pattern of normal protein metabolism and reduced energy requirements is that reduced energy and\or protein intake is the principal cause of wasting associated with this chronic infection. Although we did not measure food intake in the patients and controls (this would have been very difficult to perform with worthwhile accuracy in this situation), this conclusion is supported by the simple clinical observation that patients with melioidosis, as with many other infections, are often anorectic and therefore reduce their food intake. Taken together with the observed normal anabolic response to feeding, this provides strong support for the use of nutritional approaches to prevent or reverse the wasting associated with chronic infections such as melioidosis. The increased protein turnover may represent futile cycling or possibly destruction of muscle protein to fuel synthesis of acute-phase proteins. Therefore attempts to attenuate this response, with cytokine antagonists for example, may also be of benefit in reducing energy requirements and preserving muscle mass. The dramatic decrease in physical activity during chronic infection may also contribute to muscle wasting, and represents another potential target for therapy. ACKNOWLEDGMENTS We thank the staff of Sappasitprasong Hospital for their support, Graham Jennings for performing the analysis for the bicarbonate\urea studies, Vanaporn Wuthiekanun, Paul Howe and Philippa Newton for microbiological and logistical support, Derek Macallan for providing equations for the calculation of substrate utilization, and Sanjeev Krishna for practical advice and for providing the initial impetus for the study. This work was supported by The Wellcome Trust of Great Britain. REFERENCES 1 Cuthbertson, D. P. (1932) Observations on the disturbance of metabolism produced by injury to the limbs. Q. J. Med. 25, 233–244 Metabolism in melioidosis 2 Beisel, W. R., Sawyer, W. D., Ryll, E. D. and Crozier, D. (1967) Metabolic effects of intracellular infections in man. Ann. Int. Med. 67, 744–779 3 Chang, H. R. and Bistrian, B. (1998) The role of cytokines in the catabolic consequences of infection and injury. J. Parenter. Enteral Nutr. 22, 156–166 4 Chandra, R. K. (1983) Nutrition, immunity and infection : present knowledge and future directions. Lancet i, 688–691 5 Suputtamongkol, Y., Hall, A. J., Dance, D. A. B. et al. (1994) The epidemiology of melioidosis in Ubon Ratchatani, northeast Thailand. Int. J. Epidemiol. 23, 1082–1090 6 Dance, D. A., Wuthiekanun, V., Naigowit, P. and White, N. J. (1989) Identification of Pseudomonas pseudomallei in clinical practice : use of simple screening tests and API 20NE. J. Clin. Pathol. 42, 645–648 7 Wuthiekanun, V., Dance, D., Chaowagul, W., Suputtamongkol, Y., Wattanagoon, Y. and White, N. (1990) Blood culture technique for the diagnosis of melioidosis. Eur. J. Clin. Microbiol. Infect. Dis. 9, 654–658 8 White, N. J., Dancem, D. A. B., Chaowagul, W., Wattanagoon, Y., Wuthiekanun, V. and Pitakwatchara, N. (1989) Halving of mortality of severe melioidosis by ceftazidime. Lancet ii, 697–701 9 Chaowagul, W., White, N. J., Dance, D. A. B. et al. (1989) Melioidosis : a major cause of community acquired septicaemia in Northeastern Thailand. J. Infect. Dis. 159, 890–899 10 Chaowagul, W., Suputtamongkol, Y., Dance, D. A., Rajchanuvong, A., Pattara-arechachai, J. and White, N. J. (1993) Relapse in melioidosis : incidence and risk factors. J. Infect. Dis. 168, 1181–1185 11 White, N. J. (1994) Melioidosis. Zentralbl. Bakteriol. 280, 439–443 12 Durnin, J. V. G. A. and Womersley, J. (1974) Body fat assessed from total body density and its estimation from skinfold thickness : measurements on 481 men and women aged from 16 to 72 years. Br. J. Nutr. 32, 77–97 13 Siri, W. E. (1956) The gross composition of the body. Adv. Biol. Med. Phys. 4, 239–280 14 Melville, S., McNurlan, M. A., McHardy, K. C. et al. (1989) The role of degradation in the acute control of protein balance in adult man ; failure of feeding to stimulate protein synthesis as assessed by [1–"$C]leucine infusion. Metab. Clin. Exp. 38, 248–255 15 Melville, S., McNurlan, M. A., Calder, A. G. and Garlick, P. J. (1990) Increased protein turnover despite normal energy metabolism and responses to feeding in patients with lung cancer. Cancer Res. 50, 1125–1131 16 Elia, M., Jones, G., Jennings, G. et al. (1995) Measurement of energy expenditure by a new tracer method. Am. J. Physiol. 269, E172–E182 17 Garlick, P. J., McNurlan, M. A., McHardy, K. C. et al. (1987) Rates of nutrient utilisation in man measured by combined respiratory gas analysis and stable isotopic labelling : effect of food intake. Hum. Nutr. Clin. Nutr. 41C, 177–191 18 Garlick, P. J. (1987) Evaluation of the formulae for calculating nutrient utilisation rates from respiratory gas measurements in fed subjects. Hum. Nutr. Clin. Nutr. 41C, 165–176 19 Elia, M. and Livesey, G. (1992) Energy expenditure and fuel selection in biological systems : the theory and practice of calculations based on indirect calorimetry and tracer methods. World Rev. Nutr. Diet. 70, 68–131 20 Schofield, W. N. (1985) Predicting basal metabolic rate : new standards and review of previous work. Hum. Nutr. Clin. Nutr. 39C (Suppl. 1), 5–41 21 Elia, M. (1991) Energy equivalents of CO2 and their importance in assessing energy expenditure when using tracer techniques. Am. J. Physiol. 260, E75–E88 22 Long, C. L., Jeevanandam, M., Kim, B. M. and Kinney, J. M. (1977) Whole body protein synthesis and catabolism in septic man. Am. J. Clin. Nutr. 30, 1340–1344 23 Shaw, J. H. F., Wildbore, M. and Wolfe, R. R. (1987) Whole body protein kinetics in severely septic patients : the response to glucose infusion and total parenteral nutrition. Ann. Surg. 205, 288–294 24 Tomkins, A. M., Garlick, P. J., Schofield, W. N. and Waterlow, J. C. (1983) The combined effects of infection and malnutrition on protein metabolism in children. Clin. Sci. 65, 313–324 25 Berclaz, P.-Y., Benedek, C., Jequier, E. and Schutz, Y. (1996) Changes in protein turnover and resting energy expenditure after treatment of malaria in Gambian children. Pediatr. Res. 39, 401–409 26 Macallan, D. C., McNurlan, M. A., Milne, E., Calder, A. G., Garlick, P. J. and Griffin, G. E. (1995) Whole-body protein turnover from leucine kinetics and the response to nutrition in human immunodeficiency virus infection. Am. J. Clin. Nutr. 61, 818–826 27 Selberg, O., Suttmann, U., Melzer, A. et al. (1995) Effect of increased protein intake and nutritional status on whole-body protein metabolism of AIDS patients with weight loss. Metab. Clin. Exp. 44, 1159–1165 28 Stein, T. P., Nutinsky, C., Condoluci, D., Schluter, M. D. and Leskiw, M. J. (1990) Protein and energy substrate metabolism in AIDS patients. Metab. Clin. Exp. 39, 876–881 29 Macallan, D. C., McNurlan, M. A., Kurpad, A. V. et al. (1998) Whole body protein metabolism in human pulmonary tuberculosis and undernutrition : evidence for anabolic block in tuberculosis. Clin. Sci. 94, 321–331 30 Baracos, V. E., Wilson, E. J. and Goldberg, A. L. (1984) Effects of temperature on protein turnover in isolated rat skeletal muscle. Am. J. Physiol. 246, C125–C130 31 Suputtamongkol, Y., Kwaitowski, D., Dance, D. A. B., Chaowagul, W. and White, N. J. (1992) Tumour necrosis factor in septicaemic melioidosis. J. Infect. Dis. 165, 561–564 32 Friedland, J. S., Suputtamongkol, Y., Remick, D. G. et al. (1992) Prolonged elevation of interleukin-8 and interleukin-6 concentrations in plasma and leukocyte interleukin-8 mRNA levels during septicaemic and localised Pseudomonas pseudomallei infection. Infect. Immun. 60, 2402–2408 33 Brown, A. E., Dance, D. A., Suputtamongkol, Y. et al. (1991) Immune cell activation in melioidosis : increased serum levels of interferon-gamma and soluble interleukin-2 receptors without change in soluble CD8 protein. J. Infect. Dis. 163, 1145–1148 34 Morton, R. E., Hutchings, J., Halliday, D., Rennie, M. J. and Wolman, S. L. (1988) Protein metabolism during treatment of chest infection in patients with cystic fibrosis. Am. J. Clin. Nutr. 47, 214–219 35 Howard, J. E., Bigham, R. S. J. and Mason, R. E. (1946) Studies on convalescence. V. Observations on the altered protein metabolism during induced malarial infections. Trans. Assoc. Am. Physicians 59, 242–256 36 Forbes, G. B. (1987) Lean body mass-body fat interrelationships in humans. Nutr. Rev. 45, 225–231 37 Paton, N. I., Castello-Branco, L. R. R., Jennings, G. et al. (1999) Impact of tuberculosis on the body composition of HIV-infected men in Brazil. J. Acquired Immune Defic. Syndr. 20, 265–271 38 Paton, N., Macallan, D., Jebb, S. et al. (1997) Longitudinal changes in body composition measured with a variety of methods in patients with AIDS. J. Acquired Immune Defic. Syndr. 14, 119–127 39 Kotler, D. P., Tierney, A. R., Culpepper-Morgan, J. A., Wang, J. and Pierson, Jr., R. N. (1990) Effect of home total parenteral nutrition on body composition in patients with acquired immunodeficiency syndrome. J. Parenter. Enteral Nutr. 14, 454–458 40 Melchior, J. C., Salmon, D., Rigaud, D. et al. (1991) Resting energy expenditure is increased in stable, malnourished HIV-infected patients. Am. J. Clin. Nutr. 53, 437–441 41 Food and Agriculture Organisation\World Health Organisation\United Nations University (1985) Energy and protein requirements. W.H.O. Tech. Rep. Ser. 724 42 Paton, N. I. J., Elia, M., Jebb, S. A., Jennings, G., Macallan, D. C. and Griffin, G. E. (1996) Total energy expenditure and physical activity measured with the bicarbonate-urea method in patients with human immunodeficiency virus infection. Clin. Sci. 91, 241–245 # 2001 The Biochemical Society and the Medical Research Society 109 110 N. I. Paton and others 43 Macallan, D. C., Noble, C., Baldwin, C. et al. (1995) Energy expenditure and wasting in human immunodeficiency virus infection. N. Engl. J. Med. 333, 83–88 44 Suputtamongkol, Y., Chaowagul, W., Chetchotisakd, P. et al. (1999) Risk factors for melioidosis and bacteremic melioidosis. Clin. Infect. Dis. 29, 408–413 45 Lariviere, F., Kupranycz, D. B., Chiasson, J. L. and Hoffer, L. J. (1992) Plasma leucine kinetics and urinary nitrogen excretion in intensively treated diabetes mellitus. Am. J. Physiol. 263, E173–E179 46 De Feo, P. (1998) Fed state protein metabolism in diabetes mellitus. J. Nutr. 128, 328S–332S Received 4 February 2000/17 August 2000; accepted 29 September 2000 # 2001 The Biochemical Society and the Medical Research Society
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