Simultaneous determination of serum tryptophan metabolites in an older Chinese population.

Tryptophan (TRP) and its metabolites exhibit significant biological effects and are strongly associated with age-related disease and mortality. However, reports on quantitatively analyzing these metabolites in older individuals are not available. We used ultra-high-performance liquid chromatography-tandem mass spectrometry to optimize and validate a method for isotope dilution analysis of TRP metabolites in older individuals. The targeted analytes are TRP, serotonin or 5-hydroxytryptamine, kynurenine, kynurenic acid, xanthurenic acid, indole-3-acetic acid, indole-3-propionic acid, and tryptamine. The serum sample was purified using solid-phase extraction and was separated on a Waters HSS T3 column (100 mm × 2.1 mm, 1.8 µm). The analytes were detected in the multiple reaction monitoring mode under positive ionization. TRP was confirmed and measured after being diluted 100 times. This method exhibited satisfactory linearity (r > 0.99). The intrabatch and interbatch accuracies (85.7-114%) and precisions (<15%) were acceptable. The standard-normalized matrix effects ranged from 51.6 to 145%. This method was successfully applied to a cohort of 1021 older Chinese individuals, and this study may enable further understanding of the metabolic phenotypes associated with TRP in other populations.

Antibiotics biomonitored in urine and obesogenic risk in a community-dwelling elderly population.

BACKGROUND: Experimental and epidemiological studies have linked antibiotics use to gut dysbiosis-mediated risk of chronic metabolic diseases. However, whether adiposity is linked to antibiotic exposure in elderly remains inadequately understood. OBJECTIVE: To investigate the association between internal exposure of antibiotics and adiposity in elderly by using a biomonitoring method. METHODS: We included 990 participants (≥60 years) from the baseline survey of the Cohort of Elderly Health and Environment Controllable Factors in Lu'an city, China, from June to September 2016. Forty-five antibiotics and two metabolites in urine were monitored through liquid chromatography-electrospray tandem mass spectrometry (HPLC-MS/MS). Creatinine-corrected urinary concentrations were used to assess antibiotic exposure levels. Body mass index (BMI), waist circumference (WC) and body fat percentage (BFP) were used as indicators of adiposity. Multiple linear regression and binary logistic regression analyses were used to analyze the association of antibiotic concentrations with obesity-related indices. Subsequently, a gender-stratified analysis was performed. RESULTS: Of the included elderly, 50.7% were defined as having overweight/ obesity, 59.8% as having central preobesity/obesity, and 37.5% as having slightly high/high BFP. Linear regression analysis revealed that a 1-unit increase in the logarithmic transformation of norfloxacin concentrations was related with an increase of 0.29 kg/m2 (95% CI: 0.02-0.04), 0.99 cm (95% CI：0.24-1.75), and 0.69% (95% CI：0.21-1.17) in BMI, WC, and BFP, respectively. Compared with the control group, exposure to doxycycline (tertile 2: odds ratio, 2.06 [95% CI: 1.12-3.76]) and norfloxacin (tertile 2: 2.13 [1.05-4.29]; tertile 3: 2.07 [1.03-4.17]) had BMI-based overweight/obesity risk. Additionally, ciprofloxacin (tertile 2: 2.06 [1.12-3.76]), norfloxacin (tertile 3: 2.95 [1.34-6.49]), and florfenicol (tertile 3: 1.84 [1.07-3.14]) were related to WC-based central preobesity/obesity risk. Norfloxacin (tertile 3: 2.54 [1.23-5.24]) was positively associated with a slightly high/high BFP risk. Gender-stratified analysis demonstrated an increased adiposity risk in women compared with men. CONCLUSIONS: Our research provided an evidence that exposure to specific types of antibiotics (tetracyclines and fluoroquinolones) probably from the food chain contributed to obesity in elderly. Prospective cohort studies with larger sample size are warrented to explore the causation.

Typical antibiotic exposure and dysglycemia risk in an elderly Chinese population.

Studies examined the connection between antibiotic exposure in urine and dysglycemia risk (including prediabetes and diabetes) in the elderly were limited. Multiple linear regression, binary logistic regression, restricted cubic splines (RCS), and stratified analysis were applied to analyze the relationship between antibiotic exposure and dysglycemia risk. We observed that sulfaclozine exposure 0.07 (95% confidence interval [CI]: 0.01-0.23) significantly increased fasting blood glucose (FBG) level. By mechanism, usage, and antimicrobial action, sulfonamides 0.08 (95% CI: 0.06-0.36), veterinary antibiotics (VA) 0.07 (95% CI: 0.01-0.30), or bacteriostatic antibiotics 0.07 (95% CI: 0.02-0.29) significantly increased FBG level. Additionally, sulfaclozine exposure 1.54 (95% CI: 1.02-2.33) resulted in a higher dysglycemia risk, while doxycycline exposure 0.53 (95% CI: 0.30-0.95) resulted in a lower dysglycemia risk. By mechanism, usage, and antimicrobial action, sulfonamides 1.44 (95% CI: 1.02-2.04), VA 1.68 (95% CI: 1.21-2.35), or bacteriostatic antibiotics 1.40 (95% CI: 1.02-1.93) exposure had a higher dysglycemia risk. Taken together, exposure to sulfonamides, VA, especially sulfaclozine, was correlated with a higher dysglycemia risk in the elderly. Exposure to bacteriostatic antibiotics was associated with a higher dysglycemia risk in the female.

Antibiotic exposure and potential risk of depression in the Chinese elderly: a biomonitoring-based population study.

OBJECTIVE: To examine the associations between urinary antibiotics from various sources and depression in the elderly using the biomonitoring method. METHODS: In the current study, we investigated 990 elderly individuals (≥ 60 years old) from a community-based elderly cohort in West Anhui, China. The participants were interviewed by the Geriatric Depression Scale and self-developed questionnaires. A total of 45 antibiotics belonging to nine categories were screened in urine samples by the developed liquid chromatography electrospray tandem mass spectrometry method. Creatinine-corrected concentrations of antibiotics in urines were used to assess their exposure. Logistic regression analysis was employed to test the relationships between exposure to antibiotics and depression. RESULTS: Compared to the control group, the multinomial logistic regression analyses showed the elderly exposed to higher concentrations of azithromycin (OR = 1.81, 95% CI: 1.09-3.00) and sulfaclozine (OR = 1.54, 95% CI: 1.05-2.28) had increased risks of depression, respectively. After categorizing the detected antibiotics, tetracyclines (OR = 1.48, 95% CI: 1.02-2.16) and veterinary antibiotics (VAs) (OR = 1.53, 95% CI: 1.06-2.20) were positively correlated with increased risks of depression. After stratified by sex, the VAs (OR = 2.04, 95% CI: 1.13-3.71) at higher concentrations were associated with elevated risks of depression in males, while the associations between depression and antibiotic exposures were observed in tetracyclines (OR = 1.74, 95% CI: 1.04-2.85) and all antibiotics (OR = 2.24, 95% CI: 1.01-2.94) at higher levels in females, respectively. Notably, after the stratification by age, the significant associations were mainly present in the subjects under the age of 70. CONCLUSIONS: Our findings reveal that azithromycin, sulfaclozine, tetracyclines, and the VAs were significantly associated with elevated risks of depression in the elderly. Importantly, sex- and age-specific differences were observed in the associations between antibiotic exposures and depression.