Follow-up of blood glucose distribution characteristics in a health examination population in Chengdu from 2010 to 2016

Wang, Yuting; Xu, Wang‐Dong; Zhang, Qiongying; Bao, Ting; Yang, Hanwei; Huang, Wenxia; Tang, Huairong

doi:10.1097/md.0000000000009763

Cited by 6 publications

(12 citation statements)

References 21 publications

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“…Our predictive models are in good agreement with the latter and are more plausible in terms of sustaining the NP cell population which has been shown to experience significant cell death when glucose drops below 0.5 mM for more than 3 days 38,39,109 . Even with an array of predicted and measured glucose concentrations (0.25‐3.5 mM) it is a relatively narrow range confined by the upper supply limit of blood glucose levels (2.6‐6.1 mM) 32 . Despite this more than 50% of publications utilizing NP cells report high glucose culture medium (25 mM or 4.5 g/L).…”

Section: Discussionsupporting

confidence: 58%

“…NP diffusivity reduces with diminishing hydration; anisotropic AF diffusion is captured within the shaded range, with higher diffusivity in the axial direction and lower in the radial direction; CEP diffusivity reduces in the presence of calcification (V max = 14.1 nmol/Â10 6 cells/h and K m = 15 μM). 114 Similar to previous numerical models, [69][70][71] it was assumed that glucose and oxygen concentrations at the disc boundary are that of blood plasma in the surrounding blood vessels, 5.33 mM 32…”

Section: Establishing In Silico Models As a Function Of Degeneration ...mentioning

confidence: 99%

“…While incubators are commonly operated at oxygen levels of 5 or 20 %O 2 in the disc field, some investigators have utilized ranges from 2 to 21 %O 2 . Importantly noting that the higher limit, for both nutrients, is considered supraphysiological within the vasculature system, let alone an avascular musculoskeletal tissue 31,32 . On the other hand, it is more established to delineate pH levels as a function of degeneration; with pH 7.1 often used to represent healthy, pH 6.8 being mild degeneration, and pH 6.5 representing severe degeneration 22‐26,30 .…”

Section: Introductionmentioning

confidence: 99%

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Consolidating and re‐evaluating the human disc nutrient microenvironment

McDonnell

Buckley

2022

JOR Spine

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Background Despite exciting advances in regenerative medicine, cell‐based strategies for treating degenerative disc disease remain in their infancy. To maximize the potential for successful clinical translation, a more thorough understanding of the in vivo microenvironment is needed to better determine and predict how cell therapies will respond when administered in vivo. Aims This work aims to reflect on the in vivo nutrient microenvironment of the degenerating IVD through consolidating what has already been measured together with investigative in silico models. Materials and Methods This work uses in silico modeling, underpinned by more recent experimentally determined parameters of degeneration and nutrient transport from the literature, to re‐evaluate the current knowledge in terms of grade‐specific stages of degeneration. Results Through modeling only the metabolically active cell population, this work predicts slightly higher glucose concentrations compared to previous in silico models, while the predicted results show good agreement with previous intradiscal pH and oxygen measurements. Increasing calcification with degeneration limits nutrient transport into the IVD and initiates a build‐up of acidity; however, its effect is compensated somewhat by a reduction in diffusional distance due to decreasing disc height. Discussion This work advances in silico modeling through a strong foundation of experimentally determined grade‐specific input parameters. Taken together, pre‐existing measurements and predicted results suggest that metabolite concentrations may not be as critically low as commonly believed, with calcification not appearing to have a detrimental effect at stages of degeneration when cell therapies are an appropriate intervention. Conclusion Overall, our initiative is to provoke greater deliberation and consideration of the nutrient microenvironment when performing in vitro cell culture and cell therapy development. This work highlights urgency for robust experimental glucose measurements in healthy and degenerating IVDs, not only to validate in silico models but to significantly advance the field in fully elucidating the nutrient microenvironment and refining in vitro techniques to accelerate clinical translation.

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Section: Discussionsupporting

confidence: 58%

Section: Establishing In Silico Models As a Function Of Degeneration ...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Consolidating and re‐evaluating the human disc nutrient microenvironment

McDonnell

Buckley

2022

JOR Spine

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“…A follow-up of blood glucose distribution characteristics in a health examination population in Chengdu, China, from 2010 to 2016 showed higher glucose levels with increasing age, and males had higher glucose levels than females [ 16 ]. Likewise, the mean level of FPG significantly increased across age groups in both males and females.…”

Section: Discussionmentioning

confidence: 99%

Age- and sex-specific profiles of temporal fasting plasma glucose variability in a population undergoing routine health screening

Lartey

et al. 2021

BMC Public Health

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Background Fasting plasma glucose (FPG) variability is a significant predictor of mortality, especially in patients with poor glycemic control. This study aimed to explore the temporal age- and sex-specific profiles of temporal FPG variability in a Chinese population undergoing routine health screening and to guide the development of targeted public health interventions for the prevention and control of diabetes. Methods In this cross-sectional study, we used a general linear model to compare differences in temporal FPG values between sexes and across age groups in 101,886 Nanjing residents who underwent a routine physical health examination at the Health Management Center, the First Affiliated Hospital of Nanjing Medical University, in 2018. The variability of FPG as a function of time, age, and sex, independently and in combination, was analyzed. Results The participants included 57,455 (56.4%) males and 44,431 (43.6%) females, with a mean ± SD age of 42.8 ± 15.0 years. The average ± SD FPG level was 5.5 ± 1.1 mmol/L. The monthly variation contributed to 22% of the overall FPG variability. A significant main effect for the age group was observed (F = 7.39, P < 0.05), with an excellent fitting effect (Eta-squared =0.15). The variability of FPG showed sex differences in the percentage difference of the coefficient of variation, which was 34.1% higher in males than females. There were significant interaction effects for month*age*sex and day*age*sex. Conclusions Temporal variability in FPG is evident in the general Chinese population and is affected by both age and sex. To avoid complications associated with FPG variability, interventions should be directed at females and males at specific ages for optimal control of FPG variability and to reduce the risk of diabetes and cardiovascular events.

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“…In this study, we observed a significant variability of FPG caused by month, age, or gender. A follow-up of blood glucose distribution characteristics in a health examination population in Chengdu, China, from 2010 to 2016 showed higher levels of glucose with ages increasing, and males indicated higher expression of glucose than that in females [16]. Likewise, the mean level of FPG significantly increased across age groups in both males and females.…”

Section: Discussionmentioning

confidence: 94%

Age-and-Sex Specific Profile of Temporal Fasting Plasma Glucose Variability in a Routine Health Screening Population

Lartey

et al. 2020

Preprint

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BackgroundFasting plasma glucose (FPG) variability is an important predictor of mortality, mainly in patients with a poor glycemic control. This study aims to explore the temporal age-and-sex specific profile of temporal FPG variability in a routine health screening Chinese population and to guide the prevention and control of diabetes for targeted public health intervention.MethodsWe used the general linear model to compare differences of temporal FPG values between gender and across age groups of 101886 Nanjing residents who took part in the routine physical health examination at the Health Management Center, the First Affiliated Hospital of Nanjing Medical University in 2018. Variability of FPG caused by time, age and gender independently or in combination was analyzed.ResultsThe participants included 57455(56.4%) males and 44431(43.6%) females, with the mean age of 42.8±15.0 years. The average FPG level was 5.5±1.1 mmol/L. The monthly variation contributed 22% of the overall FPG variability. A significant main effect for age group was observed (F=7.39, P <0.05), with a good fitting effect (Eta-squared =0.15). Variability of FPG showed gender differences by comparing the percentage differences of coefficient of variation which was higher in males than females. There were significant interaction effects of month*age*gender and day*age*gender.ConclusionsTemporal variability of FPG is obvious in the general Chinese population, which is affected by both age and gender. To avoid complications associated with FPG variability such as hypoglycemia, interventions should be directed at females and males at specific ages for optimal control of FPG variability and reducing the risk of diabetes and cardiovascular outcomes

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Follow-up of blood glucose distribution characteristics in a health examination population in Chengdu from 2010 to 2016

Abstract: Supplemental Digital Content is available in the text

Cited by 6 publications

References 21 publications

Consolidating and re‐evaluating the human disc nutrient microenvironment

Consolidating and re‐evaluating the human disc nutrient microenvironment

Age- and sex-specific profiles of temporal fasting plasma glucose variability in a population undergoing routine health screening

Age-and-Sex Specific Profile of Temporal Fasting Plasma Glucose Variability in a Routine Health Screening Population

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