Factors influencing medium- and long-term occupational impact following COVID-19.

BACKGROUND: Significant numbers of individuals struggle to return to work following acute coronavirus disease 2019 (COVID-19). The UK Military developed an integrated medical and occupational pathway (Defence COVID-19 Recovery Service, DCRS) to ensure safe return to work for those with initially severe disease or persistent COVID-19 sequalae. Medical deployment status (MDS) is used to determine ability to perform job role without restriction ('fully deployable', FD) or with limitations ('medically downgraded', MDG). AIMS: To identify which variables differ between those who are FD and MDG 6 months after acute COVID-19. Within the downgraded cohort, a secondary aim is to understand which early factors are associated with persistent downgrading at 12 and 18 months. METHODS: Individuals undergoing DCRS had comprehensive clinical assessment. Following this, their electronic medical records were reviewed and MDS extracted at 6, 12 and 18 months. Fifty-seven predictors taken from DCRS were analysed. Associations were sought between initial and prolonged MDG. RESULTS: Three hundred and twenty-five participants were screened, with 222 included in the initial analysis. Those who were initially downgraded were more likely to have post-acute shortness of breath (SoB), fatigue and exercise intolerance (objective and subjective), cognitive impairment and report mental health symptoms. The presence of fatigue and SoB, cognitive impairment and mental health symptoms was associated with MDG at 12 months, and the latter two, at 18 months. There were also modest associations between cardiopulmonary function and sustained downgrading. CONCLUSIONS: Understanding the factors that are associated with initial and sustained inability to return to work allows individualized, targeted interventions to be utilized.

Robot-assisted surgery for the management of apical prolapse: a bi-centre prospective cohort study.

OBJECTIVE: Robot-assisted surgery is a recognised treatment for pelvic-organ prolapse. Many of the surgical subgroup outcomes for apical prolapse are reported together, leading to a paucity of homogenous data. DESIGN: Prospective observational cohort study (NCT01598467, clinicaltrials.gov) assessing outcomes for homogeneous subgroups of robot-assisted apical prolapse surgery. SETTING: Two European tertiary referral hospitals. POPULATION: Consecutive patients undergoing robot-assisted sacrocolpopexy (RASC) and supracervical hysterectomy with sacrocervicopexy (RSHS). METHODS: Anatomical cure (simplified Pelvic Organ Prolapse Quantification, sPOPQ, stage 1), subjective cure (symptoms of bulge), and quality of life (Pelvic Floor Impact Questionnaire, PFIQ-7). MAIN OUTCOME MEASURES: Primary outcome: anatomical and subjective cure. SECONDARY OUTCOMES: surgical safety and intraoperative variables. RESULTS: A total of 305 patients were included (RASC n = 188; RSHS n = 117). Twelve months follow-up was available for 144 (RASC 76.6%) and 109 (RSHS 93.2%) women. Anatomical success of the apical compartment occurred for 91% (RASC) and in 99% (RSHS) of the women. In all compartments, the success percentages were 67 and 65%, respectively. Most recurrences were in the anterior compartment [15.7% RASC (symptomatic 12.1%); 22.9% RSHS (symptomatic 4.8%)]. Symptoms of bulge improved from 97.4 to 17.4% (P < 0.0005). PFIQ-7 scores improved from 76.7 ± 62.3 to 13.5 ± 31.1 (P < 0.0005). The duration of surgery increased significantly for RSHS [183.1 ± 38.2 versus 145.3 ± 29.8 (P < 0.0005)]. Intraoperative complications and conversion rates were low (RASC, 5.3 and 4.3%; RSHS, 0.0 and 0.0%). Four severe postoperative complications occurred after RASC (2.1%) and one occurred after RSHS (1.6%). CONCLUSIONS: This is the largest reported prospective cohort study on robot-assisted apical prolapse surgery. Both procedures are safe, with durable results. TWEETABLE ABSTRACT: European bi-centre trial concludes that robot-assisted surgery is a viable approach to managing apical prolapse.

The altered gut microbiota in adults with cystic fibrosis.

BACKGROUND: Cystic Fibrosis (CF) is an autosomal recessive disease that affects the function of a number of organs, principally the lungs, but also the gastrointestinal tract. The manifestations of cystic fibrosis transmembrane conductance regulator (CFTR) dysfunction in the gastrointestinal tract, as well as frequent antibiotic exposure, undoubtedly disrupts the gut microbiota. To analyse the effects of CF and its management on the microbiome, we compared the gut microbiota of 43 individuals with CF during a period of stability, to that of 69 non-CF controls using 454-pyrosequencing of the 16S rRNA gene. The impact of clinical parameters, including antibiotic therapy, on the results was also assessed. RESULTS: The CF-associated microbiome had reduced microbial diversity, an increase in Firmicutes and a reduction in Bacteroidetes compared to the non-CF controls. While the greatest number of differences in taxonomic abundances of the intestinal microbiota was observed between individuals with CF and the healthy controls, gut microbiota differences were also reported between people with CF when grouped by clinical parameters including % predicted FEV1 (measure of lung dysfunction) and the number of intravenous (IV) antibiotic courses in the previous 12 months. Notably, CF individuals presenting with severe lung dysfunction (% predicted FEV1 ≤ 40%) had significantly (p < 0.05) reduced gut microbiota diversity relative to those presenting with mild or moderate dysfunction. A significant negative correlation (-0.383, Simpson's Diversity Index) was also observed between the number of IV antibiotic courses and gut microbiota diversity. CONCLUSIONS: This is one of the largest single-centre studies on gut microbiota in stable adults with CF and demonstrates the significantly altered gut microbiota, including reduced microbial diversity seen in CF patients compared to healthy controls. The data show the impact that CF and it's management have on gut microbiota, presenting the opportunity to develop CF specific probiotics to minimise microbiota alterations.

Spatial variation of the colonic microbiota in patients with ulcerative colitis and control volunteers.

OBJECTIVES: The relevance of spatial composition in the microbial changes associated with UC is unclear. We coupled luminal brush samples, mucosal biopsies and laser capture microdissection with deep sequencing of the gut microbiota to develop an integrated spatial assessment of the microbial community in controls and UC. DESIGN: A total of 98 samples were sequenced to a mean depth of 31,642 reads from nine individuals, four control volunteers undergoing routine colonoscopy and five patients undergoing surgical colectomy for medically-refractory UC. Samples were retrieved at four colorectal locations, incorporating the luminal microbiota, mucus gel layer and whole mucosal biopsies. RESULTS: Interpersonal variability accounted for approximately half of the total variance. Surprisingly, within individuals, asymmetric Eigenvector map analysis demonstrated differentiation between the luminal and mucus gel microbiota, in both controls and UC, with no differentiation between colorectal regions. At a taxonomic level, differentiation was evident between both cohorts, as well as between the luminal and mucosal compartments, with a small group of taxa uniquely discriminating the luminal and mucosal microbiota in colitis. There was no correlation between regional inflammation and a breakdown in this spatial differentiation or bacterial diversity. CONCLUSIONS: Our study demonstrates a conserved spatial structure to the colonic microbiota, differentiating the luminal and mucosal communities, within the context of marked interpersonal variability. While elements of this structure overlap between UC and control volunteers, there are differences between the two groups, both in terms of the overall taxonomic composition and how spatial structure is ascribable to distinct taxa.

Lightweight meshes: evaluation of mesh tissue integration and host tissue response.

INTRODUCTION: Differences in mesh composition may affect outcomes such as erosion, tissue integration and inflammation. The majority of commercially available meshes are type 1, manufactured from monofilament polypropylene with differing pore sizes and mechanical properties. OBJECTIVE: To assess the local tolerance of four commercially available meshes in terms of mesh integration and host tissue response. METHOD: Using an animal model, mesh was implanted onto the abdominal sheath. Animals were sacrificed at 7, 30 and 90 days and data collected. RESULTS: Strength of mesh-skin integration increased in all groups across the three time points. Polyform displayed highest strength of separation overall. VM PFR and Iprolite reached their maximum integration earliest. In regard to mesh abdominal wall integration Polyform had the greatest strength of separation, with Ultrapro displaying some weakening of integration at 30 and 90 days. Host tissue response was similar in all groups at each time point. CONCLUSION: Polyform and VM PFR have enhanced tissue integration when compared to Ultrapro. This decreased integration in Ultrapro may lead to increased mesh failure. The composition of mesh affects its integration and potentially its failure rate but not host tissue response. These observations in mesh characteristics may benefit the design of next generation meshes with a view to reducing failure rates and erosion.

Academic Department of Military Rehabilitation (ADMR): avoiding the pitfalls of 'the Walker Dip'.

A key research theme identified during the 2021 Strategic Delivery Plan (SDP) for Defence Medical Services (DMS) Research was preventing and treating musculoskeletal injury (MSKI). MSKI is a significant burden to military populations globally, reducing both operational strength and force readiness. It is therefore essential that research is conducted to gain a greater understanding of the epidemiology, aetiology and risk factors associated with MSKI to develop targeted prevention strategies and rehabilitation interventions. The Academic Department of Military Rehabilitation (ADMR) and the recently established MSKI research-theme working group must use a combination of balance and flexibility when coordinating research priorities to ensure they align and reflect both higher level DMS and UK Defence Rehabilitation practitioner-driven priorities. This article describes the response ADMR have taken to meet and align with the requirements of the 2021 SDP.

Use of symptom-guided physical activity and exercise rehabilitation for COVID-19 and other postviral conditions.

There are many similarities in symptoms between postviral conditions, including clinical features such as fatigue, reduced daily activity and postexertional symptom exacerbation. Unfavourable responses to exercise have influenced the wider debate on how to reintegrate physical activity (PA) and exercise while simultaneously managing symptoms during recovery from post-COVID-19 syndrome (or Long COVID). This has resulted in inconsistent advice from the scientific and clinical rehabilitation community on how and when to resume PA and exercise following COVID-19 illness. This article provides commentary on the following topics: (1) controversies surrounding graded exercise therapy as a treatment modality for post-COVID-19 rehabilitation; (2) evidence supporting PA promotion, resistance exercise and cardiorespiratory fitness for population health, and the consequences of physical inactivity in patients with complex rehabilitation needs; (3) population-based challenges for UK Defence Rehabilitation practitioners for the management of postviral conditions; and (4) 'symptom guided PA and exercise rehabilitation' as an appropriate treatment option for managing individuals with multifaceted medical needs.

How long is Long-COVID? Symptomatic improvement between 12 and 18 months in a prospective cohort study.

INTRODUCTION: COVID-19 infection can precede, in a proportion of patients, a prolonged syndrome including fatigue, exercise intolerance, mood and cognitive problems. This study aimed to describe the profile of fatigue-related, exercise-related, mood-related and cognitive-related outcomes in a COVID-19-exposed group compared with controls. METHODS: 113 serving UK Armed Forces participants were followed up at 5, 12 (n=88) and 18 months (n=70) following COVID-19. At 18 months, 56 were in the COVID-19-exposed group with 14 matched controls. Exposed participants included hospitalised (n=25) and community (n=31) managed participants. 43 described at least one of the six most frequent symptoms at 5 months: fatigue, shortness of breath, chest pain, joint pain, exercise intolerance and anosmia. Participants completed a symptom checklist, patient-reported outcome measures (PROMs), the National Institute for Health cognitive battery and a 6-minute walk test (6MWT). PROMs included the Fatigue Assessment Scale (FAS), Generalised Anxiety Disorder-7 (GAD-7), Patient Health Questionnaire-9 (PHQ-9) and Patient Checklist-5 (PCL-5) for post-traumatic stress. RESULTS: At 5 and 12 months, exposed participants presented with higher PHQ-9, PCL-5 and FAS scores than controls (ES (effect size) ≥0.25, p≤0.04). By 12 months, GAD-7 was not significantly different to controls (ES <0.13, p=0.292). Remaining PROMs lost significant difference by 18 months (ES ≤0.11, p≥0.28). No significant differences in the cognitive scales were observed at any time point (F=1.96, p=0.167). At 5 and 12 months, exposed participants recorded significantly lower distances on the 6MWT (ηp 2≥0.126, p<0.01). 6MWT distance lost significant difference by 18 months (ηp 2<0.039, p>0.15). CONCLUSIONS: This prospective cohort-controlled study observed adverse outcomes in depression, post-traumatic stress, fatigue and submaximal exercise performance up to 12 months but improved by 18-month follow-up, in participants exposed to COVID-19 compared with a matched control group.

Changing characteristics of post-COVID-19 syndrome: Cross-sectional findings from 458 consultations using the Stanford Hall remote rehabilitation assessment tool.

BACKGROUND: In the UK, there have been multiple waves of COVID-19, with a five-tier alert system created to describe the transmission rate and appropriate restrictions. While acute mortality decreased, there continued to be a significant morbidity, with individuals suffering from persistent, life-restricting symptoms for months to years afterwards. A remote rehabilitation tool was created at the Defence Medical Rehabilitation Centre (DMRC) Stanford Hall to assess post-COVID-19 symptoms and their impact on the UK military.This study aims to understand changes in post-COVID-19 syndrome between wave 1 and wave 2, identify interactions between alert level and symptoms and investigate any predictive nature of acute symptoms for postacute symptomology in a young, physically active population. METHODS: Cross-sectional study of 458 consecutive remote rehabilitation assessments performed at DMRC Stanford Hall between 2 April 2020 and 29 July 2021. Consultations were coded, anonymised, and statistical analysis was performed to determine associations between acute and postacute symptoms, and between symptoms, alert levels and waves. RESULTS: 435 assessments were eligible; 174 in wave 1 and 261 in wave 2. Post-COVID-19 syndrome prevalence reduced from 43% to 2% between the waves. Acutely, widespread pain was more prevalent in wave 2 (p<0.001). Postacutely, there was increased anxiety (p=0.10) in wave 1 and increased sleep disturbance (p<0.001), memory/concentration issues (p<0.001) and shortness of breath/cough (p=0.017) in wave 2. Increasing alert level was associated with increased postacute symptom prevalence (p=0.046), with sleep disturbance increasing at higher alert level (p=0.016). Acute symptoms, including fatigue, sleep disturbance and myalgia, were associated with multiple postacute symptoms. CONCLUSIONS: This study reports the overall prevalence and symptom burden in the UK military in the first two waves of COVID-19. By reporting differences in COVID-19 in different waves and alert level, this study highlights the importance of careful assessment and contextual understanding of acute and postacute illnesses for individual management plans.

A comparison of methods used to extract bacterial DNA from raw milk and raw milk cheese.

AIMS: In this study, we compare seven different methods which have been designed or modified to extract total DNA from raw milk and raw milk cheese with a view to its subsequent use for the PCR of bacterial DNA. MATERIALS AND RESULTS: Seven extraction methods were employed to extract total DNA from these foods, and their relative success with respect to the yield and purity of the DNA isolated, and its quality as a template for downstream PCR, was compared. Although all of the methods were successful with respect to the extraction of DNA naturally present in cheese, they varied in their relative ability to extract DNA from milk. However, when milk was spiked with a representative Gram-positive (Listeria monocytogenes EGDe) or Gram-negative (Salmonella enterica serovar Typhimurium LT2) bacterium, it was established that all methods successfully extracted DNA which was suitable for subsequent detection by PCR. CONCLUSIONS: Of the seven approaches, the PowerFood™ Microbial DNA Isolation kit (MoBio Laboratories Inc.) was found to most consistently extract highly concentrated and pure DNA with a view to its subsequent use for PCR-based amplification and also facilitated accurate detection by real-time quantitative PCR. SIGNIFICANCE AND IMPACT OF THE STUDY: Accurately assessing the bacterial composition of milk and cheese is of great importance to the dairy industry. Increasingly, DNA-based technologies are being employed to provide an accurate assessment of this microbiota. However, these approaches are dependent on our ability to extract DNA of sufficient yield and purity. This study compares a number of different options and highlights the relative success of these approaches. We also highlight the success of one method to extract DNA from different microbial populations as well as DNA which is suitable for real-time PCR of microbes of interest, a challenge often encountered by the food industry.

Robot-assisted surgery:--impact on gynaecological and pelvic floor reconstructive surgery.

The da Vinci Surgical System dominates robotic surgery, as the only robotic device to have FDA approval in gynaecology. The benefits of robot-assisted surgery include decreased length of stay, decreased blood loss and analgesic requirements. Ergonomic improvements allow the surgeon to operate with less risk of neck and back injury. Unfortunately the initial economic impact of purchasing and maintaining a robot are great but must be balanced with the potential savings from reduced length of stay and earlier return to normal activity. This review looks at the uses for the robot in both gynaecology and urogynaecology, assessing the efficacy of this modality compared to both straight stick (laparoscopy) and open procedures. We assess the benefits to both patient and surgeon from the available literature. Within the current economic environment we appraise the costs associated with the robot.

Neurological rehabilitation following heat illness in the UK Armed Forces.

Heat illness remains a significant threat to health in the UK Armed Forces despite recent improvements in the prevention of cases. A small number of heat illness survivors develop long-term neurological sequelae. Here we briefly review the background literature and present our experience of treating UK Armed Forces patients with neurological consequences of heat illness. In our cohort of patients, we observed significant improvements in subjective symptoms and objective assessments following a period of neurological rehabilitation at the Defence Medical Rehabilitation Centre. We conclude with recommendations for further research and for the incorporation of screening for neurological disability following heat illness into service policy.

Cardiopulmonary exercise testing excludes significant disease in patients recovering from COVID-19.

OBJECTIVE: Post-COVID-19 syndrome presents a health and economic challenge affecting ~10% of patients recovering from COVID-19. Accurate assessment of patients with post-COVID-19 syndrome is complicated by health anxiety and coincident symptomatic autonomic dysfunction. We sought to determine whether either symptoms or objective cardiopulmonary exercise testing could predict clinically significant findings. METHODS: 113 consecutive military patients were assessed in a comprehensive clinical pathway. This included symptom reporting, history, examination, spirometry, echocardiography and cardiopulmonary exercise testing (CPET) in all, with chest CT, dual-energy CT pulmonary angiography and cardiac MRI where indicated. Symptoms, CPET findings and presence/absence of significant pathology were reviewed. Data were analysed to identify diagnostic strategies that may be used to exclude significant disease. RESULTS: 7/113 (6%) patients had clinically significant disease adjudicated by cardiothoracic multidisciplinary team (MDT). These patients had reduced fitness (V̇O2 26.7 (±5.1) vs 34.6 (±7.0) mL/kg/min; p=0.002) and functional capacity (peak power 200 (±36) vs 247 (±55) W; p=0.026) compared with those without significant disease. Simple CPET criteria (oxygen uptake (V̇O2) >100% predicted and minute ventilation (VE)/carbon dioxide elimination (V̇CO2) slope <30.0 or VE/V̇CO2 slope <35.0 in isolation) excluded significant disease with sensitivity and specificity of 86% and 83%, respectively (area under the receiver operating characteristic curve (AUC) 0.89). The addition of capillary blood gases to estimate alveolar-arterial gradient improved diagnostic performance to 100% sensitivity and 78% specificity (AUC 0.92). Symptoms and spirometry did not discriminate significant disease. CONCLUSIONS: In a population recovering from SARS-CoV-2, there is reassuringly little organ pathology. CPET and functional capacity testing, but not reported symptoms, permit the exclusion of clinically significant disease.

Correlation of rRNA gene amplicon pyrosequencing and bacterial culture for microbial compositional analysis of faecal samples from elderly Irish subjects.

AIMS: The aim of this investigation was to establish the degree of correlation between measurements from culture-dependent microbiological techniques and from next generation sequencing technologies. METHODS AND RESULTS: Data generated by both techniques were collected from faecal samples from 185 elderly Irish people involved in the ongoing ELDERMET study (http://eldermet.ucc.ie). The results for three groups of intestinal bacteria were compared. Bifidobacterium sp., Lactobacillus sp. and Enterobacteriaceae were enumerated on selective media through culture-dependent techniques, whereas proportions of these bacteria were determined through sequencing technology against the background of other bacteria. The Spearman's rank correlation coefficient determined a good correlation between results from culture-dependent microbiology and culture-independent techniques for all three bacterial groups assessed (correlation coefficients for Bifidobacterium sp., Lactobacillus sp. and Enterobacteriaceae were 0·380, 0·366 and 0·437, respectively). CONCLUSION: Correlation between the two methods implies that a single method is capable of profiling intestinal Bifidobacterium, Lactobacillus and Enterobacteriaceae populations. However, both methods have advantages that justify their use in tandem. SIGNIFICANCE AND IMPACT OF THE STUDY: This is the first extensive study to compare bacterial counts from culture-dependent microbiological techniques and from next generation sequencing technologies.

Composition and energy harvesting capacity of the gut microbiota: relationship to diet, obesity and time in mouse models.

BACKGROUND AND AIMS: Increased efficiency of energy harvest, due to alterations in the gut microbiota (increased Firmicutes and decreased Bacteroidetes), has been implicated in obesity in mice and humans. However, a causal relationship is unproven and contributory variables include diet, genetics and age. Therefore, we explored the effect of a high-fat (HF) diet and genetically determined obesity (ob/ob) for changes in microbiota and energy harvesting capacity over time. METHODS: Seven-week-old male ob/ob mice were fed a low-fat diet and wild-type mice were fed either a low-fat diet or a HF-diet for 8 weeks (n=8/group). They were assessed at 7, 11 and 15 weeks of age for: fat and lean body mass (by NMR); faecal and caecal short-chain fatty acids (SCFA, by gas chromatography); faecal energy content (by bomb calorimetry) and microbial composition (by metagenomic pyrosequencing). RESULTS: A progressive increase in Firmicutes was confirmed in both HF-fed and ob/ob mice reaching statistical significance in the former, but this phylum was unchanged over time in the lean controls. Reductions in Bacteroidetes were also found in ob/ob mice. However, changes in the microbiota were dissociated from markers of energy harvest. Thus, although the faecal energy in the ob/ob mice was significantly decreased at 7 weeks, and caecal SCFA increased, these did not persist and faecal acetate diminished over time in both ob/ob and HF-fed mice, but not in lean controls. Furthermore, the proportion of the major phyla did not correlate with energy harvest markers. CONCLUSION: The relationship between the microbial composition and energy harvesting capacity is more complex than previously considered. While compositional changes in the faecal microbiota were confirmed, this was primarily a feature of high-fat feeding rather than genetically induced obesity. In addition, changes in the proportions of the major phyla were unrelated to markers of energy harvest which changed over time. The possibility of microbial adaptation to diet and time should be considered in future studies.

Investigating the Role of Diet and Exercise in Gut Microbe-Host Cometabolism.

We investigated the individual and combined effects of diet and physical exercise on metabolism and the gut microbiome to establish how these lifestyle factors influence host-microbiome cometabolism. Urinary and fecal samples were collected from athletes and less active controls. Individuals were further classified according to an objective dietary assessment score of adherence to healthy dietary habits according to WHO guidelines, calculated from their proton nuclear magnetic resonance (1H-NMR) urinary profiles. Subsequent models were generated comparing extremes of dietary habits, exercise, and the combined effect of both. Differences in metabolic phenotypes and gut microbiome profiles between the two groups were assessed. Each of the models pertaining to diet healthiness, physical exercise, or a combination of both displayed a metabolic and functional microbial signature, with a significant proportion of the metabolites identified as discriminating between the various pairwise comparisons resulting from gut microbe-host cometabolism. Microbial diversity was associated with a combination of high adherence to healthy dietary habits and exercise and was correlated with a distinct array of microbially derived metabolites, including markers of proteolytic activity. Improved control of dietary confounders, through the use of an objective dietary assessment score, has uncovered further insights into the complex, multifactorial relationship between diet, exercise, the gut microbiome, and metabolism. Furthermore, the observation of higher proteolytic activity associated with higher microbial diversity indicates that increased microbial diversity may confer deleterious as well as beneficial effects on the host.IMPORTANCE Improved control of dietary confounders, through the use of an objective dietary assessment score, has uncovered further insights into the complex, multifactorial relationship between diet, exercise, the gut microbiome, and metabolism. Each of the models pertaining to diet healthiness, physical exercise, or a combination of both, displayed a distinct metabolic and functional microbial signature. A significant proportion of the metabolites identified as discriminating between the various pairwise comparisons result from gut microbe-host cometabolism, and the identified interactions have expanded current knowledge in this area. Furthermore, although increased microbial diversity has previously been linked with health, our observation of higher microbial diversity being associated with increased proteolytic activity indicates that it may confer deleterious as well as beneficial effects on the host.

Antimicrobial activity of two peptides casecidin 15 and 17, found naturally in bovine colostrum.

AIMS: To isolate and characterize peptides from bovine colostrum with antimicrobial activity. METHODS AND RESULTS: Three peptides were purified from fresh colostrum by a range of chromatographic methods using antimicrobial activity against Escherichia coli DH5alpha to screen for the most active fractions. Two peptides, with antimicrobial activity, casecidin 17 and casecidin 15, were identical to sequences in the C-terminal of bovine beta-casein (YQEPVLGPVRGPFPIIV and YQEPVLGPVRGPFPI) and had corresponding molecular masses of 1881.00 and 1669.06 Da, respectively. The third peptide was the known peptide isracidin which has a mass of 2763.80 Da and sequence of RPKHPIKHQGLPQEVLNENLLRF. Casecidin 17 and casecidin 15 had identical minimal inhibition concentrations (MICs) against E. coli DPC6053 of 0.4 mg ml(-1). Structural modelling suggested amphiphilic structures having identical inhibitory and structural properties. The MIC value of isracidin against E. coli DPC6053 was 0.2 mg ml(-1). CONCLUSIONS: This study shows the presence of three antimicrobial peptides in colostrum which may contribute to a bioprotective role to limit pathogen contamination. Furthermore, the discovery of casecidin 17 and 15 may provide the basis for novel antimicrobial peptide design. SIGNIFICANCE AND IMPACT OF THE STUDY: This is the first study to characterize peptides with antimicrobial activity present in fresh bovine colostrum.