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Ignatova N, Abidullina A, Streltsova O, Elagin V, Kamensky V. Effect of pH, Norepinephrine and Glucose on Metabolic and Biofilm Activity of Uropathogenic Microorganisms. Microorganisms 2023; 11:microorganisms11040862. [PMID: 37110286 PMCID: PMC10146007 DOI: 10.3390/microorganisms11040862] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 03/25/2023] [Accepted: 03/26/2023] [Indexed: 03/30/2023] Open
Abstract
Urinary tract infection (UTIs) aremainly caused by a number of anatomical and physiological dysfunctions, but there are also some iatrogenic factors, including the use of certain medications, that contribute to the development of UTIs. The virulence of bacteria that colonize the urinary tract may be modified by pH and by the presence of soluble substances in urine, such as norepinephrine (NE) and glucose. In this work, we studied the influence of NE and glucose across a range of pHs (5, 7, 8) on the biomass, matrix production and metabolism of uropathogenic strains of Escherichia coli, Pseudomonas aeruginosa, Klebsiella pneumoniae, Staphylococcus aureus and Enterococcus faecalis. We used Congo red and gentian violet to stain the extracellular matrix and biomass, respectively, of biofilms. The optical density of staining of the biofilms was measured using a multichannel spectrophotometer. The metabolic activity was analyzed by MTT assay. It was shown that NE and glucose stimulate biomass production both in the Gram-negative and Gram-positive uropathogens. The metabolic activity in the presence of glucose was higher at pH 5 for E. coli (in 4.0 ± 0.1 times), Ps. aeruginosa (in 8.2 ± 0.2 times) and Kl. pneumoniae (in 4.1 ± 0.2 times). Matrix production of Kl. pneumoniae increased under NE (in 8.2 ± 0.2 times) and in the presence of glucose (in 1.5 ± 0.3 times). Thus, NE and glucose in urine may lead to persistent UTI under patient stress and in the case of metabolic glucose disorders.
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Affiliation(s)
- Nadezhda Ignatova
- Department of Epidemiology, Microbiology and Evidence-Based Medicine, Privolzhsky Research Medical University, 603104 Nizhny Novgorod, Russia
- Correspondence: ; Tel.: +7-(831)-465-56-72
| | - Alina Abidullina
- Department of Epidemiology, Microbiology and Evidence-Based Medicine, Privolzhsky Research Medical University, 603104 Nizhny Novgorod, Russia
| | - Olga Streltsova
- Department of Urology, Privolzhsky Research Medical University, 603104 Nizhny Novgorod, Russia
| | - Vadim Elagin
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, 603104 Nizhny Novgorod, Russia
| | - Vladislav Kamensky
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, 603104 Nizhny Novgorod, Russia
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In Vitro Mimicking of Obesity-Induced Biochemical Environment to Study Obesity Impacts on Cells and Tissues. Diseases 2022; 10:diseases10040076. [PMID: 36278576 PMCID: PMC9590073 DOI: 10.3390/diseases10040076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 09/27/2022] [Accepted: 09/30/2022] [Indexed: 11/29/2022] Open
Abstract
Obesity represents a heavy burden for modern healthcare. The main challenge facing obesity research progress is the unknown underlying pathways, which limits our understanding of the pathogenesis and developing therapies. Obesity induces specific biochemical environments that impact the different cells and tissues. In this piece of writing, we suggest mimicking obesity-induced in vivo biochemical environments including pH, lipids, hormones, cytokines, and glucose within an in vitro environment. The concept is to reproduce such biochemical environments and use them to treat the tissue cultures, explant cultures, and cell cultures of different biological organs. This will allow us to clarify how the obesity-induced biochemistry impacts such biological entities. It would also be important to try different environments, in terms of the compositions and concentrations of the constitutive elements, in order to establish links between the effects (impaired regeneration, cellular inflammation, etc.) and the factors constituting the environment (hormones, cytokines, etc.) as well as to reveal dose-dependent effects. We believe that such approaches will allow us to elucidate obesity mechanisms, optimize animal models, and develop therapies as well as novel tissue engineering applications.
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Sheele JM, Libertin CR, Fink I, Jensen T, Dasalla N, Lyon TD. Alkaline Urine in the Emergency Department Predicts Nitrofurantoin Resistance. J Emerg Med 2022; 62:368-377. [PMID: 35000812 DOI: 10.1016/j.jemermed.2021.10.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Revised: 08/09/2021] [Accepted: 10/12/2021] [Indexed: 11/19/2022]
Abstract
BACKGROUND The Proteeae group (i.e., Proteus species, Morganella morganii, and Providencia species) frequently causes urinary tract infections (UTIs) and is generally resistant to nitrofurantoin. Proteeae species can produce urease, which can increase urine pH. OBJECTIVE Our aim was to determine whether higher urine pH in the emergency department is associated with nitrofurantoin resistance. METHODS A single health system database of emergency department patients aged 18 years and older who received urinalysis between April 18, 2014, and March 7, 2017, was examined using χ2 test and multivariable regression analysis. RESULTS Of 67,271 urine samples analyzed, 13,456 samples grew a single bacterial species. Urine cultures growing the Proteeae group were associated with significantly more alkaline urine than other bacteriuria cultures (odds ratio [OR] 2.20, 95% confidence interval [CI] 2.06-2.36; p < 0.001). The Proteeae species represented 4.4% of urine samples at pH 5-7, 24.4% at pH 8-9, and 40.0% at pH 9. At urine pH 5-7, 80.4% of urine samples were sensitive to nitrofurantoin; however, this percentage decreased to 66.1% for urine pH 8-9 and 54.6% for urine pH 9. Nitrofurantoin had the highest OR (2.10, 95% CI 1.85-2.39) among cefazolin, ciprofloxacin, and trimethoprim/sulfamethoxazole for bacteriuria sensitive to those antibiotics at urine pH 5-7. At urine pH 8-9 and 9, nitrofurantoin had the lowest OR among the antibiotics: 0.48 (95% CI 0.42-0.54) and 0.31 (95% CI 0.24-0.40), respectively (p < 0.001 for both). CONCLUSIONS Urine pH of 8 or higher is associated with high rates of nitrofurantoin resistance.
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Affiliation(s)
| | | | - Isaac Fink
- Clinical Research Internship Study Program, Mayo Clinic, Jacksonville, Florida
| | - Taylor Jensen
- Clinical Research Internship Study Program, Mayo Clinic, Jacksonville, Florida
| | - Nicole Dasalla
- Clinical Research Internship Study Program, Mayo Clinic, Jacksonville, Florida
| | - Timothy D Lyon
- Department of Urology, Mayo Clinic, Jacksonville, Florida
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Yang SW, Lin YJ, Cheng YW, Chen YY, Chen WL. Low urine pH is a risk factor for low muscle mass: A new way to predict sarcopenia. Geriatr Gerontol Int 2021; 21:944-949. [PMID: 34453776 DOI: 10.1111/ggi.14269] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Revised: 08/04/2021] [Accepted: 08/11/2021] [Indexed: 12/01/2022]
Abstract
AIMS Sarcopenia, one of the primary diseases of the older adult population, is a condition characterized by loss of skeletal muscle mass, strength and functionality. Due to its considerable economic impact, preventive interventions for sarcopenia play an important role in the older adult population. Urine includes many indicators of physiology and pathophysiology. Urine analysis is used to diagnose many different diseases. The goal of this cohort study was to examine the relationship between urine pH level and skeletal muscle mass. METHODS This community-based cross-sectional study was carried out among 9712 Taiwanese individuals (4992 men and 4720 women). We used urine pH as an independent variable and skeletal muscle mass as a dependent variable. Bioelectric impedance analysis was used to measure the percentage of skeletal muscle mass (PSMM). We collected first fasting morning urine samples after overnight fasting, and urine pH was measured with a dipstick. In the by-sex and by-obesity analyses, we stratified the sample into two subgroups and a linear regression model was used for covariate adjustment. RESULTS In the fully adjusted model, all-subject analysis showed a statistically significant association between urine pH and the PSMM with a β coefficient of 0.820 (95% CI 0.615-1.025; P < 0.001). Additionally, by-sex analysis showed that urine pH was related to the PSMM in both sexes, with β coefficients of 0.261 (95% CI 0.006-0.516; P = 0.045) in men and 0.179 (95% CI 0.029-0.328; P = 0.019) in women. By-obesity status analysis showed that urine pH was related to the PSMM in the body mass index <27 group with a β coefficient of 0.284 (95% CI 0.101-0.466; P = 0.002) after full adjustment. However, for the body mass index ≥27 group, there was no significant relationship between urine pH and the PSMM (P > 0.05). CONCLUSION The results showed the impacts of urine pH levels on skeletal muscle mass in both sexes and non-obese populations. Due to its easily accessible and economical characteristics, urine analysis is a convenient way to approach patients with low skeletal muscle mass and predict sarcopenia. Geriatr Gerontol Int 2021; 21: 944-949.
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Affiliation(s)
- Shih-Wei Yang
- Department of Orthopedic, Tri-Service General Hospital; and School of Medicine, National Defense Medical Center, Taipei, Taiwan.,Division of Family Medicine, Department of Family and Community Medicine, Tri-Service General Hospital; and School of Medicine, National Defense Medical Center, Taipei, Taiwan
| | - Yu-Jen Lin
- Division of Family Medicine, Department of Family and Community Medicine, Tri-Service General Hospital; and School of Medicine, National Defense Medical Center, Taipei, Taiwan
| | - Yung-Wen Cheng
- Division of Family Medicine, Department of Family and Community Medicine, Tri-Service General Hospital; and School of Medicine, National Defense Medical Center, Taipei, Taiwan
| | - Yuan-Yuei Chen
- Division of Family Medicine, Department of Family and Community Medicine, Tri-Service General Hospital; and School of Medicine, National Defense Medical Center, Taipei, Taiwan.,Department of Pathology, Tri-Service General Hospital Songshan Branch; and School of Medicine, National Defense Medical Center, Taipei, Taiwan
| | - Wei-Liang Chen
- Division of Family Medicine, Department of Family and Community Medicine, Tri-Service General Hospital; and School of Medicine, National Defense Medical Center, Taipei, Taiwan.,Division of Geriatric Medicine, Department of Family and Community Medicine, Tri-Service General Hospital; and School of Medicine, National Defense Medical Center, Taipei, Taiwan
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Xue X, Liu Z, Li X, Lu J, Wang C, Wang X, Ren W, Sun R, Jia Z, Ji X, Chen Y, He Y, Ji A, Sun W, Zhang H, Merriman TR, Li C, Cui L. The efficacy and safety of citrate mixture vs sodium bicarbonate on urine alkalization in Chinese primary gout patients with benzbromarone: a prospective, randomized controlled study. Rheumatology (Oxford) 2021; 60:2661-2671. [PMID: 33211886 PMCID: PMC8213434 DOI: 10.1093/rheumatology/keaa668] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Revised: 09/22/2020] [Indexed: 12/27/2022] Open
Abstract
Objectives To compare the efficacy and safety of citrate mixture and sodium bicarbonate on urine alkalization in gout patients under benzbromarone treatment. Methods A prospective, randomized, parallel controlled trial was conducted among 200 gout patients in the dedicated gout clinic of the Affiliated Hospital of Qingdao University. The participants were randomly divided into two groups (1:1), sodium bicarbonate group (3 g/day) and citrate mixture group (7 g/day). All patients were prescribed with 25 mg/day benzbromarone at initiation and maintained at a dose of 50 mg/day. Clinical and biochemical data were collected at each follow-up time point (baseline, weeks 2, 4, 8 and 12). Results A total of 182 patients completed the 12-week urine alkalization study. The urine pH value of both groups increased significantly from the baseline to the final follow-up time point (sodium bicarbonate group, 5.50–6.00, P < 0.05; citrate mixture group, 5.53–5.93, P < 0.05). While the comparisons regarding urine pH between treatment groups showed no significant differences for each time point. The estimated glomerular filtration rate (eGFR) dropped significantly after 12 weeks’ trial in the sodium bicarbonate group (P < 0.01), while it was comparable between baseline and the last follow-up (P > 0.05) in the citrate mixture group. Results of urine analysis showed that the incident rate of occult blood in the sodium bicarbonate group was higher than that in the citrate mixture group (38 vs 24%, P < 0.05), accompanied by a similar occurrence of kidney stones. After 12-week follow-up, the frequency of twice gout flare in the citrate mixture group was significantly lower than that in sodium bicarbonate group (4 vs 12%, P = 0.037). No treatment-emergent adverse events occurred. Conclusion The efficacy of citrate mixture on urine alkalization is comparable to sodium bicarbonate under benzbromarone treatment without significant adverse events. Citrate mixture is superior to sodium bicarbonate in lowering the incidence of urine occult blood and the frequency of gout attacks. Trial registration Registered with ChiCTR (http://www.chictr.org.cn), No. ChiCTR1800018518.
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Affiliation(s)
- Xiaomei Xue
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Shandong Provincial Key Laboratory of Metabolic Diseases and Qingdao Key Laboratory of Gout, Qingdao, China
| | - Zhen Liu
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Shandong Provincial Key Laboratory of Metabolic Diseases and Qingdao Key Laboratory of Gout, Qingdao, China
| | - Xinde Li
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Shandong Provincial Key Laboratory of Metabolic Diseases and Qingdao Key Laboratory of Gout, Qingdao, China
| | - Jie Lu
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Shandong Provincial Key Laboratory of Metabolic Diseases and Qingdao Key Laboratory of Gout, Qingdao, China.,Institute of Metabolic Diseases, Qingdao University, Qingdao, China
| | - Can Wang
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Shandong Provincial Key Laboratory of Metabolic Diseases and Qingdao Key Laboratory of Gout, Qingdao, China
| | - Xuefeng Wang
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Shandong Provincial Key Laboratory of Metabolic Diseases and Qingdao Key Laboratory of Gout, Qingdao, China
| | - Wei Ren
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Shandong Provincial Key Laboratory of Metabolic Diseases and Qingdao Key Laboratory of Gout, Qingdao, China
| | - Ruixia Sun
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Shandong Provincial Key Laboratory of Metabolic Diseases and Qingdao Key Laboratory of Gout, Qingdao, China
| | - Zhaotong Jia
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Shandong Provincial Key Laboratory of Metabolic Diseases and Qingdao Key Laboratory of Gout, Qingdao, China
| | - Xiaopeng Ji
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Shandong Provincial Key Laboratory of Metabolic Diseases and Qingdao Key Laboratory of Gout, Qingdao, China
| | - Ying Chen
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Shandong Provincial Key Laboratory of Metabolic Diseases and Qingdao Key Laboratory of Gout, Qingdao, China
| | - Yuwei He
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Shandong Provincial Key Laboratory of Metabolic Diseases and Qingdao Key Laboratory of Gout, Qingdao, China
| | - Aichang Ji
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Shandong Provincial Key Laboratory of Metabolic Diseases and Qingdao Key Laboratory of Gout, Qingdao, China
| | - Wenyan Sun
- Institute of Metabolic Diseases, Qingdao University, Qingdao, China
| | - Hui Zhang
- Institute of Metabolic Diseases, Qingdao University, Qingdao, China
| | - Tony R Merriman
- Institute of Metabolic Diseases, Qingdao University, Qingdao, China.,Department of Biochemistry, University of Otago, Dunedin, New Zealand.,Division of Clinical Immunology and Rheumatology, University of Alabama Birmingham, Birmingham, AL, USA
| | - Changgui Li
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Shandong Provincial Key Laboratory of Metabolic Diseases and Qingdao Key Laboratory of Gout, Qingdao, China.,Institute of Metabolic Diseases, Qingdao University, Qingdao, China
| | - Lingling Cui
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Qingdao University, Shandong Provincial Key Laboratory of Metabolic Diseases and Qingdao Key Laboratory of Gout, Qingdao, China
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