Background： Integration of behavioral observations with traditional selection schemes may lead to enhanced animal well-being and more profitable forage-based cattle production systems.Brahman-influenced（BR;n = 64） ...Background： Integration of behavioral observations with traditional selection schemes may lead to enhanced animal well-being and more profitable forage-based cattle production systems.Brahman-influenced（BR;n = 64） and Gelbvieh × Angus（GA;n = 64） heifers consumed either toxic endophyte-infected tall fescue（E＋） or one of two nontoxic endophyte-infected tall fescue（NT） cultivars during two yr.Heifers were weighed at midpoint and termination of grazing.Grazing behavior（grazing,resting in the shade,lying,or standing without grazing） was recorded（n = 13 visual observations per yr in June and July） for each pasture.During yr 2,exit velocity（EV） and serum prolactin（PRL） were determined.Results： Grazing behavior was influenced（P 0.05） by an interaction between fescue cultivar and breed type.Gelbvieh × Angus heifers assigned to E＋ pastures had the lowest percentage of animals grazing and the largest percentage of animals resting in the shade.Brahman-influenced heifers had faster EV（P 0.001） than GA heifers（0.52 vs.0.74 ± 0.04 s/m,respectively）.Body weight（BW） was affected（P 0.01） by an interaction of tall fescue cultivar and d,and an interaction of tall fescue cultivar and breed type.Heifers grazing NT pastures were heavier（P 0.01） than heifers grazing E＋ pastures at midpoint and termination.Gelbvieh × Angus heifers grazing NT pastures were heavier（P 0.01） than GA and BR heifers grazing E＋ and BR heifers grazing NT pastures.An interaction of forage cultivar and breed type occurred on serum PRL（P 0.01）.Conclusion： Collectively fescue cultivar,EV,and concentrations of serum PRL were associated with grazing behavior.Heifers grazing NT pastures were observed to be grazing more than heifers assigned to E＋ pastures,regardless of breed type,which may have contributed to changes in BW and average daily gain（ADG） in heifers.Integration of behavioral observations along with traditional selection schemes may lead to enhanced animal well-being and more profitable forage-based cattle production systems.展开更多
Background: The Walter Reed Army Institute of Research(WRAIR) Operational Research Kit-Actigraphy(WORK-A) is a set of unique practice parameters and actigraphy-derived measures for the analysis of operational military...Background: The Walter Reed Army Institute of Research(WRAIR) Operational Research Kit-Actigraphy(WORK-A) is a set of unique practice parameters and actigraphy-derived measures for the analysis of operational military sleep patterns. The WORK-A draws on best practices from the literature and comprises 15 additional descriptive variables. Here, we demonstrate the WORK-A with a sample of United States Army Reserve Officers’ Training Corps(ROTC) cadets(n=286) during a month-long capstone pre-commissioning training exercise.Methods: The sleep of ROTC cadets(n=286) was measured by Philips Actiwatch devices during the 31-day training exercise. The preliminary effectiveness of the WORK-A was tested by comparing differences in sleep measures collected by Actiwatches as calculated by Philips Actiware software against WORK-A-determined sleep measures and self-report sleep collected from a subset of ROTC cadets(n=140).Results: Actiware sleep summary statistics were significantly different from WORK-A measures and self-report sleep(P≤0.001). Bedtimes and waketimes as determined by WORK-A major sleep intervals showed the best agreement with self-report bedtime(22:21±1:30 vs. 22:13±0:40, P=0.21) and waketime(04:30±2:17 vs. 04:31±0:47, P=0.68). Though still significantly different, the discrepancy was smaller between the WORK-A measure of time in bed(TIB) for major sleep intervals(352±29) min and self-report nightly sleep duration [(337±57) min, P=0.006] than that between the WORK-A major TIB and Actiware TIB [(177±42) min, P≤0.001].Conclusions: Default actigraphy methods are not the most accurate methods for characterizing soldier sleep, but reliable methods for characterizing operational sleep patterns is a necessary first step in developing strategies to improve soldier readiness. The WORK-A addresses this knowledge gap by providing practice parameters and a robust variety of measures with which to profile sleep behavior in service members.展开更多
Emerging evidence suggests a significant role of gut microbiome in bone health.Aging is well recognized as a crucial factor influencing the gut microbiome.In this study,we investigated whether age-dependent microbial ...Emerging evidence suggests a significant role of gut microbiome in bone health.Aging is well recognized as a crucial factor influencing the gut microbiome.In this study,we investigated whether age-dependent microbial change contributes to age-related bone loss in CB6F1 mice.The bone phenotype of 24-month-old germ-free(GF)mice was indistinguishable compared to their littermates colonized by fecal transplant at 1-month-old.Moreover,bone loss from 3 to 24-month-old was comparable between GF and specific pathogen-free(SPF)mice.Thus,GF mice were not protected from age-related bone loss.16S rRNA gene sequencing of fecal samples from 3-month and 24-month-old SPF males indicated an age-dependent microbial shift with an alteration in energy and nutrient metabolism potential.An integrative analysis of 16S predicted metagenome function and LC-MS fecal metabolome revealed an enrichment of protein and amino acid biosynthesis pathways in aged mice.Microbial S-adenosyl methionine metabolism was increased in the aged mice,which has previously been associated with the host aging process.Collectively,aging caused microbial taxonomic and functional alteration in mice.To demonstrate the functional importance of young and old microbiome to bone,we colonized GF mice with fecal microbiome from 3-month or 24-month-old SPF donor mice for 1 and 8 months.The effect of microbial colonization on bone phenotypes was independent of the microbiome donors’age.In conclusion,our study indicates age-related bone loss occurs independent of gut microbiome.展开更多
Bacterial vaginosis(BV)is a common vaginal disorder in women of reproductive age.Since the initial work of Leopoldo in 1953 and Gardner and Dukes in 1955,researchers have not been able to identify the causative etiolo...Bacterial vaginosis(BV)is a common vaginal disorder in women of reproductive age.Since the initial work of Leopoldo in 1953 and Gardner and Dukes in 1955,researchers have not been able to identify the causative etiologic agent of BV.There is increasing evidence,however,that BV occurs when Lactobacillus spp.,the predominant species in healthy vaginal flora,are replaced by anaerobic bacteria,such as Gardenella vaginalis,Mobiluncus curtisii,M.mulieris,other anaerobic bacteria and/or Mycoplasma hominis.Worldwide,it estimated that 20%–30%of women of reproductive age attending sexually transmitted infection(STI)clinics suffer from BV,and that its prevalence can be as high as 50%–60%in high-risk populations(e.g.,those who practice commercial sex work(CSW).Epidemiological data show that women are more likely to report BV if they:1)have had a higher number of lifetime sexual partners;2)are unmarried;3)have engaged in their first intercourse at a younger age;4)have engaged in CSW,and 5)practice regular douching.In the past decade,several studies have provided evidence on the contribution of sexual activity to BV.However,it is difficult to state that BV is a STI without being able to identify the etiologic agent.BV has also emerged as a public health problem due to its association with other STIs,including:human immunodeficiency virus(HIV),herpes simplex virus type 2(HSV-2),Chlamydia trachomatis(CT)and Neisseria gonorrhoeae(NG).The most recent evidence on the association between BV and CT/NG infection comes from two secondary analyses of cohort data conducted among women attending STI clinics.Based on these studies,women with BV had a 1.8 and 1.9-fold increased risk for NG and CT infection,respectively.Taken together,BV is likely a risk factor or at least an important contributor to subsequent NG or CT infection in high-risk women.Additional research is required to determine whether this association is also present in other low-risk sexually active populations,such as among women in the US military.It is essential to conduct large scale cross-sectional or population-based case-control studies to investigate the role of BV as a risk factor for CT/NG infections.These studies could lead to the development of interventions aimed at reducing the burden associated with bacterial STIs worldwide.展开更多
AIMTo assess the effect of sofosbuvir (SOF) based regimens on glycemic and lipid control. METHODSThis is a retrospective analysis of hepatitis C virus (HCV)-infected patients treated and cured with a SOF regimen [SOF/...AIMTo assess the effect of sofosbuvir (SOF) based regimens on glycemic and lipid control. METHODSThis is a retrospective analysis of hepatitis C virus (HCV)-infected patients treated and cured with a SOF regimen [SOF/ribavirin/interferon, SOF/simeprevir, or SOF/ledipasvir (LDV) ± ribavirin] from January 2014 to March 2015. Patients with hemoglobin A1C (HbA1C) and lipid panels within six months before and six months after therapy were identified and included in our study. Due to the known hemolytic effect of ribavirin, HbA1C was obtained a minimum of three months post-treatment for the patients treated with a ribavirin regimen. Medical history, demographics, HCV genotype, pre-therapy RNA, and liver biopsies were included in our analysis. The patients who started a new medication or had an adjustment of baseline medical management for hyperlipidemia or diabetes mellitus (DM) were excluded from our analysis. RESULTSTwo hundred and thirty-four patients were reviewed, of which 60 patients met inclusion criteria. Sixty-three point three percent were male, 26.7% were Caucasian, 41.7% were African American and 91.7% were infected with hepatitis C genotype 1. Mean age was 60.6 ± 6.7 years. Thirty-nine patients had HbA1C checked before and after treatment, of which 22 had the diagnosis of DM type 2. HbA1C significantly decreased with treatment of HCV (pretreatment 6.66% ± 0.95% vs post-treatment 6.14% ± 0.65%, P vs 0.71% ± 0.83%, P = 0.070). Fifty-two patients had pre- and post-treatment lipid panels; there was a significant increase in low-density lipoprotein (LDL) and total cholesterol (TC) after treatment (LDL: 99.5 ± 28.9 mg/dL vs 128.3 ± 34.9 mg/dL, P vs 199.7 ± 40.0 mg/dL, P P = 0.684). CONCLUSIONEradication of HCV with a SOF regimen resulted in a significant drop in HbA1C and an increase in LDL and TC post therapy.展开更多
Background:The impact of sleep disorders on active-duty soldiers’medical readiness is not currently quantified.Patient data generated at military treatment facilities can be accessed to create research reports and th...Background:The impact of sleep disorders on active-duty soldiers’medical readiness is not currently quantified.Patient data generated at military treatment facilities can be accessed to create research reports and thus can be used to estimate the prevalence of sleep disturbances and the role of sleep on overall health in service members.The current study aimed to quantify sleep-related health issues and their impact on health and nondeployability through the analysis of U.S.military healthcare records from fiscal year 2018(FY2018).Methods:Medical diagnosis information and deployability profiles(e-Profiles)were queried for all active-duty U.S.Army patients with a concurrent sleep disorder diagnosis receiving medical care within FY2018.Nondeployability was predicted from medical reasons for having an e-Profile(categorized as sleep,behavioral health,musculoskeletal,cardiometabolic,injury,or accident)using binomial logistic regression.Sleep e-Profiles were investigated as a moderator between other e-Profile categories and nondeployability.Results:Out of 582,031 soldiers,48.4%(n=281,738)had a sleep-related diagnosis in their healthcare records,9.7%(n=56,247)of soldiers had e-Profiles,and 1.9%(n=10,885)had a sleep e-Profile.Soldiers with sleep e-Profiles were more likely to have had a motor vehicle accident(p OR(prevalence odds ratio)=4.7,95%CI 2.63–8.39,P≤0.001)or work/duty-related injury(p OR=1.6,95%CI 1.32–1.94,P≤0.001).The likelihood of nondeployability was greater in soldiers with a sleep e-Profile and a musculoskeletal e-Profile(p OR=4.25,95%CI 3.75–4.81,P≤0.001)or work/dutyrelated injury(p OR=2.62,95%CI 1.63–4.21,P≤0.001).Conclusion:Nearly half of soldiers had a sleep disorder or sleep-related medical diagnosis in 2018,but their sleep problems are largely not profiled as limitations to medical readiness.Musculoskeletal issues and physical injury predict nondeployability,and nondeployability is more likely to occur in soldiers who have sleep e-Profiles in addition to these issues.Addressing sleep problems may prevent accidents and injuries that could render a soldier nondeployable.展开更多
文摘Background： Integration of behavioral observations with traditional selection schemes may lead to enhanced animal well-being and more profitable forage-based cattle production systems.Brahman-influenced（BR;n = 64） and Gelbvieh × Angus（GA;n = 64） heifers consumed either toxic endophyte-infected tall fescue（E＋） or one of two nontoxic endophyte-infected tall fescue（NT） cultivars during two yr.Heifers were weighed at midpoint and termination of grazing.Grazing behavior（grazing,resting in the shade,lying,or standing without grazing） was recorded（n = 13 visual observations per yr in June and July） for each pasture.During yr 2,exit velocity（EV） and serum prolactin（PRL） were determined.Results： Grazing behavior was influenced（P 0.05） by an interaction between fescue cultivar and breed type.Gelbvieh × Angus heifers assigned to E＋ pastures had the lowest percentage of animals grazing and the largest percentage of animals resting in the shade.Brahman-influenced heifers had faster EV（P 0.001） than GA heifers（0.52 vs.0.74 ± 0.04 s/m,respectively）.Body weight（BW） was affected（P 0.01） by an interaction of tall fescue cultivar and d,and an interaction of tall fescue cultivar and breed type.Heifers grazing NT pastures were heavier（P 0.01） than heifers grazing E＋ pastures at midpoint and termination.Gelbvieh × Angus heifers grazing NT pastures were heavier（P 0.01） than GA and BR heifers grazing E＋ and BR heifers grazing NT pastures.An interaction of forage cultivar and breed type occurred on serum PRL（P 0.01）.Conclusion： Collectively fescue cultivar,EV,and concentrations of serum PRL were associated with grazing behavior.Heifers grazing NT pastures were observed to be grazing more than heifers assigned to E＋ pastures,regardless of breed type,which may have contributed to changes in BW and average daily gain（ADG） in heifers.Integration of behavioral observations along with traditional selection schemes may lead to enhanced animal well-being and more profitable forage-based cattle production systems.
基金The Department of Defense Military Operational Medicine Research Program (MOMRP) supported this study。
文摘Background: The Walter Reed Army Institute of Research(WRAIR) Operational Research Kit-Actigraphy(WORK-A) is a set of unique practice parameters and actigraphy-derived measures for the analysis of operational military sleep patterns. The WORK-A draws on best practices from the literature and comprises 15 additional descriptive variables. Here, we demonstrate the WORK-A with a sample of United States Army Reserve Officers’ Training Corps(ROTC) cadets(n=286) during a month-long capstone pre-commissioning training exercise.Methods: The sleep of ROTC cadets(n=286) was measured by Philips Actiwatch devices during the 31-day training exercise. The preliminary effectiveness of the WORK-A was tested by comparing differences in sleep measures collected by Actiwatches as calculated by Philips Actiware software against WORK-A-determined sleep measures and self-report sleep collected from a subset of ROTC cadets(n=140).Results: Actiware sleep summary statistics were significantly different from WORK-A measures and self-report sleep(P≤0.001). Bedtimes and waketimes as determined by WORK-A major sleep intervals showed the best agreement with self-report bedtime(22:21±1:30 vs. 22:13±0:40, P=0.21) and waketime(04:30±2:17 vs. 04:31±0:47, P=0.68). Though still significantly different, the discrepancy was smaller between the WORK-A measure of time in bed(TIB) for major sleep intervals(352±29) min and self-report nightly sleep duration [(337±57) min, P=0.006] than that between the WORK-A major TIB and Actiware TIB [(177±42) min, P≤0.001].Conclusions: Default actigraphy methods are not the most accurate methods for characterizing soldier sleep, but reliable methods for characterizing operational sleep patterns is a necessary first step in developing strategies to improve soldier readiness. The WORK-A addresses this knowledge gap by providing practice parameters and a robust variety of measures with which to profile sleep behavior in service members.
基金supported by NIH grants R01 AG046257 (JFC)the Orthopaedic Scholar Fund+4 种基金the Department of Orthopaedic Surgery,Brigham and Women’s Hospital,P30 AR075042the Joint Biology Consortium funded by P30-AR070253performed at National Gnotobiotic Rodent Resource Center at University of North Carolina at Chapel Hill,funded by P40-OD010995,P30-DK034987Crohn’s and Colitis Foundationsupported with resources and the use of facilities at the Richard L.Roudebush VA Medical Center,Indianapolis,IN:VA Merit#BX003751。
文摘Emerging evidence suggests a significant role of gut microbiome in bone health.Aging is well recognized as a crucial factor influencing the gut microbiome.In this study,we investigated whether age-dependent microbial change contributes to age-related bone loss in CB6F1 mice.The bone phenotype of 24-month-old germ-free(GF)mice was indistinguishable compared to their littermates colonized by fecal transplant at 1-month-old.Moreover,bone loss from 3 to 24-month-old was comparable between GF and specific pathogen-free(SPF)mice.Thus,GF mice were not protected from age-related bone loss.16S rRNA gene sequencing of fecal samples from 3-month and 24-month-old SPF males indicated an age-dependent microbial shift with an alteration in energy and nutrient metabolism potential.An integrative analysis of 16S predicted metagenome function and LC-MS fecal metabolome revealed an enrichment of protein and amino acid biosynthesis pathways in aged mice.Microbial S-adenosyl methionine metabolism was increased in the aged mice,which has previously been associated with the host aging process.Collectively,aging caused microbial taxonomic and functional alteration in mice.To demonstrate the functional importance of young and old microbiome to bone,we colonized GF mice with fecal microbiome from 3-month or 24-month-old SPF donor mice for 1 and 8 months.The effect of microbial colonization on bone phenotypes was independent of the microbiome donors’age.In conclusion,our study indicates age-related bone loss occurs independent of gut microbiome.
基金funded by the US Armed Forces Health Surveillance Center and its Division of Global Emerging Infectious Surveillance and Response(AFHSC-GEIS)
文摘Bacterial vaginosis(BV)is a common vaginal disorder in women of reproductive age.Since the initial work of Leopoldo in 1953 and Gardner and Dukes in 1955,researchers have not been able to identify the causative etiologic agent of BV.There is increasing evidence,however,that BV occurs when Lactobacillus spp.,the predominant species in healthy vaginal flora,are replaced by anaerobic bacteria,such as Gardenella vaginalis,Mobiluncus curtisii,M.mulieris,other anaerobic bacteria and/or Mycoplasma hominis.Worldwide,it estimated that 20%–30%of women of reproductive age attending sexually transmitted infection(STI)clinics suffer from BV,and that its prevalence can be as high as 50%–60%in high-risk populations(e.g.,those who practice commercial sex work(CSW).Epidemiological data show that women are more likely to report BV if they:1)have had a higher number of lifetime sexual partners;2)are unmarried;3)have engaged in their first intercourse at a younger age;4)have engaged in CSW,and 5)practice regular douching.In the past decade,several studies have provided evidence on the contribution of sexual activity to BV.However,it is difficult to state that BV is a STI without being able to identify the etiologic agent.BV has also emerged as a public health problem due to its association with other STIs,including:human immunodeficiency virus(HIV),herpes simplex virus type 2(HSV-2),Chlamydia trachomatis(CT)and Neisseria gonorrhoeae(NG).The most recent evidence on the association between BV and CT/NG infection comes from two secondary analyses of cohort data conducted among women attending STI clinics.Based on these studies,women with BV had a 1.8 and 1.9-fold increased risk for NG and CT infection,respectively.Taken together,BV is likely a risk factor or at least an important contributor to subsequent NG or CT infection in high-risk women.Additional research is required to determine whether this association is also present in other low-risk sexually active populations,such as among women in the US military.It is essential to conduct large scale cross-sectional or population-based case-control studies to investigate the role of BV as a risk factor for CT/NG infections.These studies could lead to the development of interventions aimed at reducing the burden associated with bacterial STIs worldwide.
文摘AIMTo assess the effect of sofosbuvir (SOF) based regimens on glycemic and lipid control. METHODSThis is a retrospective analysis of hepatitis C virus (HCV)-infected patients treated and cured with a SOF regimen [SOF/ribavirin/interferon, SOF/simeprevir, or SOF/ledipasvir (LDV) ± ribavirin] from January 2014 to March 2015. Patients with hemoglobin A1C (HbA1C) and lipid panels within six months before and six months after therapy were identified and included in our study. Due to the known hemolytic effect of ribavirin, HbA1C was obtained a minimum of three months post-treatment for the patients treated with a ribavirin regimen. Medical history, demographics, HCV genotype, pre-therapy RNA, and liver biopsies were included in our analysis. The patients who started a new medication or had an adjustment of baseline medical management for hyperlipidemia or diabetes mellitus (DM) were excluded from our analysis. RESULTSTwo hundred and thirty-four patients were reviewed, of which 60 patients met inclusion criteria. Sixty-three point three percent were male, 26.7% were Caucasian, 41.7% were African American and 91.7% were infected with hepatitis C genotype 1. Mean age was 60.6 ± 6.7 years. Thirty-nine patients had HbA1C checked before and after treatment, of which 22 had the diagnosis of DM type 2. HbA1C significantly decreased with treatment of HCV (pretreatment 6.66% ± 0.95% vs post-treatment 6.14% ± 0.65%, P vs 0.71% ± 0.83%, P = 0.070). Fifty-two patients had pre- and post-treatment lipid panels; there was a significant increase in low-density lipoprotein (LDL) and total cholesterol (TC) after treatment (LDL: 99.5 ± 28.9 mg/dL vs 128.3 ± 34.9 mg/dL, P vs 199.7 ± 40.0 mg/dL, P P = 0.684). CONCLUSIONEradication of HCV with a SOF regimen resulted in a significant drop in HbA1C and an increase in LDL and TC post therapy.
基金The Department of Defense Military Operational Medicine Research Program(MOMRP)supported this study。
文摘Background:The impact of sleep disorders on active-duty soldiers’medical readiness is not currently quantified.Patient data generated at military treatment facilities can be accessed to create research reports and thus can be used to estimate the prevalence of sleep disturbances and the role of sleep on overall health in service members.The current study aimed to quantify sleep-related health issues and their impact on health and nondeployability through the analysis of U.S.military healthcare records from fiscal year 2018(FY2018).Methods:Medical diagnosis information and deployability profiles(e-Profiles)were queried for all active-duty U.S.Army patients with a concurrent sleep disorder diagnosis receiving medical care within FY2018.Nondeployability was predicted from medical reasons for having an e-Profile(categorized as sleep,behavioral health,musculoskeletal,cardiometabolic,injury,or accident)using binomial logistic regression.Sleep e-Profiles were investigated as a moderator between other e-Profile categories and nondeployability.Results:Out of 582,031 soldiers,48.4%(n=281,738)had a sleep-related diagnosis in their healthcare records,9.7%(n=56,247)of soldiers had e-Profiles,and 1.9%(n=10,885)had a sleep e-Profile.Soldiers with sleep e-Profiles were more likely to have had a motor vehicle accident(p OR(prevalence odds ratio)=4.7,95%CI 2.63–8.39,P≤0.001)or work/duty-related injury(p OR=1.6,95%CI 1.32–1.94,P≤0.001).The likelihood of nondeployability was greater in soldiers with a sleep e-Profile and a musculoskeletal e-Profile(p OR=4.25,95%CI 3.75–4.81,P≤0.001)or work/dutyrelated injury(p OR=2.62,95%CI 1.63–4.21,P≤0.001).Conclusion:Nearly half of soldiers had a sleep disorder or sleep-related medical diagnosis in 2018,but their sleep problems are largely not profiled as limitations to medical readiness.Musculoskeletal issues and physical injury predict nondeployability,and nondeployability is more likely to occur in soldiers who have sleep e-Profiles in addition to these issues.Addressing sleep problems may prevent accidents and injuries that could render a soldier nondeployable.
