Reference Citation Analysis: Find an Article, Find a Category, Find a Journal, Find a Scholar

For: Bergman BC, Perreault L, Hunerdosse D, Kerege A, Playdon M, Samek AM, Eckel RH. Novel and reversible mechanisms of smoking-induced insulin resistance in humans. Diabetes 2012;61:3156-66. [PMID: 22966072 PMCID: PMC3501865 DOI: 10.2337/db12-0418] [Citation(s) in RCA: 100] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]

For:	Bergman BC, Perreault L, Hunerdosse D, Kerege A, Playdon M, Samek AM, Eckel RH. Novel and reversible mechanisms of smoking-induced insulin resistance in humans. Diabetes 2012;61:3156-66. [PMID: 22966072 PMCID: PMC3501865 DOI: 10.2337/db12-0418] [Citation(s) in RCA: 100] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]

Number

Cited by Other Article(s)

Sebastian-Valles F, Martinez-Alfonso J, Navas-Moreno V, Arranz-Martin JA, Tapia-Sanchiz MS, Raposo-López JJ, Sampedro-Nuñez MA, Martínez-Vizcaino V, Marazuela M. Influence of smoking on glycaemic control in individuals with type 1 diabetes using flash glucose monitoring and its mediating role in the relationship between socioeconomic status and glycaemic control. J Diabetes Metab Disord 2025;24:11. [PMID: 39697858 PMCID: PMC11649592 DOI: 10.1007/s40200-024-01535-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2024] [Accepted: 10/02/2024] [Indexed: 12/20/2024]

Alnufaiy B, Alzahrani HG, Lambarte RA, Alghamdi MA, Alali AS, Alanazi WF, Alkanhal MH, Almukhalfi AF. The impact of electronic cigarette smoking on periodontal status and proinflammatory cytokine levels: a cross-sectional study. BMC Oral Health 2025;25:775. [PMID: 40410855 DOI: 10.1186/s12903-025-06148-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2024] [Accepted: 05/08/2025] [Indexed: 05/25/2025] Open

Abstract

BACKGROUND

E-cigs(E-cigs) use is increasing worldwide. Recent studies suggest that E-cigs contain harmful elements that could lead to adverse oral health outcomes. Therefore, the aim of this study was to evaluate the impact of E-cigs smoking on periodontal health among current male smokers in Al-Kharj city in Saudi Arabia by assessing periodontal parameters and proinflammatory cytokine levels.

METHODS

Fifty-three male individuals (25 E-smokers and 28 non-smokers) participated in the study. This study compared periodontal parameters, including the plaque index (PI), bleeding on probing (BOP), probing pocket depth (PPD), clinical attachment loss (CAL), and marginal bone loss (MBL), as well as levels of unstimulated whole saliva (UWS), interleukin IL-1B, and IL-6, between E-smokers and non-smokers.

RESULTS

The E-cigs users consumed approximately 432.6 ± 425.22 puffs on average daily, with a nicotine content of approximately 45.2 ± 11.23 mg on average. There was no statistically significant difference between the groups in terms of BOP and PI. A statistically significant difference was detected in PPD and CAL (p < 0.05) between the two groups, in which the PPD (4.10 ± 1.87) and CAL (2.72 ± 0.89) were greater in E-smokers. The mean MBL was also higher among E-smokers, which was statistically significant (p < 0.05). The mean cytokine IL-1B level was found to be (640.75 ± 138.78) among non-smokers and (889.05 ± 540.56) among E-smokers, and this difference was statistically significant (p < 0.05). However, while IL-1B had shown a significant difference between groups in the bivariate analysis (t-test), its association with E-cigs use became non-significant in the multivariate model (OR = 1.01, 95% CI: 1.00-1.02, p = 0.194). The mean IL-6 level among non-smokers was (19.49 ± 11.90) and among E-smokers, it was (17.07 ± 8.21). And, this difference was not statistically significant (p > 0.05).

CONCLUSIONS

This study revealed that E-cigs smoking had a negative effect on periodontal status (especially PPD, CAL and MBL). These results may contribute to the pathogenesis of periodontal diseases and tissue destruction. Efforts must be made to educate and create awareness among patients and the general community regarding the risks associated with E-cigs usage especially in young populations.

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Sebastian-Valles F, Hernando Alday I, Tapia-Sanchiz MS, Raposo-López JJ, Garai Hierro J, Navas-Moreno V, Martínez-Alfonso J, Arranz Martin JA, Sampedro-Nuñez MA, Marazuela M. Association of smoking with the efficacy of continuous glucose monitoring in type1 diabetes: A propensity score-matched cohort study. Med Clin (Barc) 2025;164:396-402. [PMID: 39709280 DOI: 10.1016/j.medcli.2024.10.023] [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: 08/25/2024] [Revised: 10/15/2024] [Accepted: 10/22/2024] [Indexed: 12/23/2024]

Horowitz JF, Goodpaster BH. Mechanistic Insights Into the Exercise-Induced Changes in Muscle Lipids and Insulin Sensitivity-Expanding on the "Athlete's Paradox": Revisiting a 2011 Diabetes Classic by Amati et al. Diabetes 2025;74:134-137. [PMID: 39836884 PMCID: PMC11755679 DOI: 10.2337/dbi24-0030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2024] [Accepted: 10/30/2024] [Indexed: 01/23/2025]

Tolu-Akinnawo O, Ogunniyi KE. Accelerated Coronary Artery Disease in a Patient With Advanced Lung Cancer: Interplay of Cancer, Inflammation, and Treatment Effects. Cureus 2025;17:e77769. [PMID: 39981449 PMCID: PMC11841481 DOI: 10.7759/cureus.77769] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/21/2025] [Indexed: 02/22/2025] Open

Alagiakrishnan K, Halverson T. Role of Peripheral and Central Insulin Resistance in Neuropsychiatric Disorders. J Clin Med 2024;13:6607. [PMID: 39518747 PMCID: PMC11547162 DOI: 10.3390/jcm13216607] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2024] [Revised: 10/27/2024] [Accepted: 10/31/2024] [Indexed: 11/16/2024] Open

Abstract

Insulin acts on different organs, including the brain, which helps it regulate energy metabolism. Insulin signaling plays an important role in the function of different cell types. In this review, we have summarized the key roles of insulin and insulin receptors in healthy brains and in different brain disorders. Insulin signaling, as well as insulin resistance (IR), is a major contributor in the regulation of mood, behavior, and cognition. Recent evidence showed that both peripheral and central insulin resistance play a role in the pathophysiology, clinical presentation, and management of neuropsychiatric disorders like Cognitive Impairment/Dementia, Depression, and Schizophrenia. Many human studies point out Insulin Resistance/Metabolic Syndrome can increase the risk of dementia especially Alzheimer's dementia (AD). IR has been shown to play a role in AD development but also in its progression. This review article discusses the pathophysiological pathways and mechanisms of insulin resistance in major neuropsychiatric disorders. The extent of insulin resistance can be quantified using IR biomarkers like insulin levels, HOMA-IR index, and Triglyceride glucose-body mass index (TyG-BMI) levels. IR has been shown to precede neurodegeneration. Human trials showed current treatment with certain antidiabetic drugs, as well as life style management, like weight loss and exercise for IR, have shown promise in the management of cognitive/neuropsychiatric disorders. This may pave the pathway to the development of new therapeutic approaches to these challenging disorders of dementia and psychiatric diseases. Recent clinical trials are showing some encouraging evidence for these pharmacological and nonpharmacological approaches for IR in psychiatric and cognitive disorders, even though more research is needed to apply this evidence into clinical practice. Early identification and management of IR may help as a strategy to potentially alter neuropsychiatric disorders onset as well as its progression.

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Sung DE, Lee SJ, Lee MY, Rhee EJ, Sung KC. Longitudinal Analysis of Diabetes Mellitus Risk: Smoking Status and Smoking Cessation. J Clin Med 2024;13:3927. [PMID: 38999492 PMCID: PMC11242592 DOI: 10.3390/jcm13133927] [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: 05/30/2024] [Revised: 07/01/2024] [Accepted: 07/03/2024] [Indexed: 07/14/2024] Open

Abstract

Background/Objectives: Smoking cessation is acknowledged for its health benefits. However, it paradoxically increases diabetes mellitus (DM) risk shortly after quitting due to weight gain. This research aimed to investigate how smoking status could affect the development of DM, focusing on how the risk of acquiring diabetes changed over time after quitting smoking, independent of variables such as weight gain. Methods: The data of 386,558 participants of the Kangbuk Samsung Health Study, excluding those with pre-existing DM, were examined. Smoking status and its long-term effects on DM risk were assessed using multivariate Cox proportional hazards models. Lifestyle factors, including weight change, physical activity levels, and alcohol intake, were adjusted as time-varying covariates throughout the follow-up period. Results: Modified hazard ratios (HRs) indicated no notable disparity in DM risk between individuals who previously smoked and those who had never smoked (HR: 1.04, 95% CI: 0.999-1.08, p-value < 0.001). In contrast, current smokers exhibited a significantly increased DM risk (HR: 1.29, 95% CI: 1.24-1.35, p-value < 0.001). Within the first six years post-cessation, former smokers initially faced a higher DM risk than never smokers (0-2 years, HR: 1.22, 95% CI: 1.15-1.31, p-value < 0.001; 3-5 years, HR: 1.11, 95% CI: 1.04-1.20, p-value < 0.001). After 12 years, they realigned with never smokers (12-46 years, HR: 0.92, 95% CI: 0.86-0.98, p-value = 0.002). Current smokers consistently showed a higher DM risk (0-9 years, HR: 1.29, 95% CI: 1.14-1.46, p-value < 0.001). Adjusting for covariates such as weight change and physical activity did not alter these findings. Conclusions: Our results indicated that former smokers initially experienced an elevated risk of DM relative to never smokers. This increased risk aligned with the risk of never smokers after six years, and the risk continued to improve after 12 years compared to never smokers. This contrasted with current smokers, who maintained a heightened risk of DM, even when adjustments were made for weight change, physical activity, and alcohol intake as time-varying covariates.

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Gu Y, Li Z, Han X, Liu J, Li Y, Zhang W, Lv N, Dang A. Smoking, Alcohol Consumption, and Risk of Arterial Stiffness: A Two-Sample Mendelian Randomization Study. Rev Cardiovasc Med 2024;25:255. [PMID: 39139409 PMCID: PMC11317346 DOI: 10.31083/j.rcm2507255] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Revised: 01/31/2024] [Accepted: 02/06/2024] [Indexed: 08/15/2024] Open

Abstract

Background

While observational studies have demonstrated connections between cigarette smoking, alcohol consumption, and arterial stiffness, establishing a causal relationship has proven challenging because of potential confounding factors. To address this problem, we employed a two-sample Mendelian randomization approach.

Methods

We selected genetic instruments for these risk factors from genome-wide association studies encompassing 3,383,199 individuals at the genome-wide significance level (p < 5 × 10 - 9 ). Arterial stiffness data were acquired from the UK Biobank, which included 127,121 participants. Our primary analysis utilized the inverse variance-weighted method to explore causality. To confirm our results' robustness, we conducted sensitivity analyses using Egger regression, the weighted median method, and Mendelian Randomization Pleiotropy RESidual Sum and Outlier (MR-PRESSO).

Results

Our analysis revealed a significant association between genetic inclination to smoking initiation and an increase in the arterial stiffness index ( β = 0.11; 95% confidence interval [CI], 0.06 to 0.16; p = 1.95 × 10 - 5 ). Additionally, there was a suggestive connection between genetically predicted number of cigarettes per day and the arterial stiffness index ( β = 0.05; 95% CI, 5.25 × 10 - 4 to 0.10; p = 4.75 × 10 - 2 ). No causal relationships were observed between the genetically predicted age of smoking initiation, smoking cessation, or alcohol consumption and the risk of arterial stiffness index.

Conclusions

This Mendelian randomization study indicates that smoking initiation is likely a causative risk factor for arterial stiffness. However, further research is needed to determine if the quantity of daily cigarettes directly contributes to arterial stiffness development. Regarding alcohol consumption, age of smoking initiation, and smoking cessation, there was insufficient evidence to establish causality.

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Amin G, Booz GW, Zouein FA. Lasting consequences of cigarette smoking on the heart. Acta Physiol (Oxf) 2024;240:e14166. [PMID: 38761034 PMCID: PMC11162305 DOI: 10.1111/apha.14166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2024] [Accepted: 05/07/2024] [Indexed: 05/20/2024]

Singh S, Kriti M, K.S. A, Sarma DK, Verma V, Nagpal R, Mohania D, Tiwari R, Kumar M. Deciphering the complex interplay of risk factors in type 2 diabetes mellitus: A comprehensive review. Metabol Open 2024;22:100287. [PMID: 38818227 PMCID: PMC11137529 DOI: 10.1016/j.metop.2024.100287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2024] [Revised: 05/15/2024] [Accepted: 05/18/2024] [Indexed: 06/01/2024] Open

Khanagar SB, Aldawas I, Alrusaini SK, Albalawi F, Alshehri A, Awawdeh M, Iyer K, Divakar DD. Association of Electronic Cigarette Usage with the Subsequent Initiation of Combustible Cigarette Smoking among Dental Students in Riyadh, Saudi Arabia: A Longitudinal Study. Healthcare (Basel) 2024;12:1092. [PMID: 38891167 PMCID: PMC11172238 DOI: 10.3390/healthcare12111092] [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: 04/12/2024] [Revised: 05/20/2024] [Accepted: 05/24/2024] [Indexed: 06/21/2024] Open

Abstract

The use of electronic cigarettes, or "e-cigarettes", among youths has sparked worries about the possibility of nicotine dependence as a serious public health issue. Dental practitioners play a critical role in helping their patients quit smoking. Dental schools across the globe have policies encouraging their students to help patients quit smoking. Current research, however, indicates that a significant portion of dental students smoke combustible cigarettes and use e-cigarettes. According to studies, using e-cigarettes has resulted in the subsequent initiation of combustible cigarette smoking among its users. The aim of this study was to determine the association between the use of electronic cigarettes and the subsequent initiation of combustible cigarette smoking among dental students who were not attitudinally susceptible to smoking combustible cigarettes. A longitudinal cohort study was conducted among 121 study participants who were never combustible cigarette users and were attitudinally non-susceptible to smoking at baseline. At baseline, 66 (54.6%) study participants were categorized as e-cigarette users who were attitudinally non-susceptible to combustible cigarette smoking, and 55 (45.4%) study participants were categorized as non-users who were attitudinally non-susceptible to combustible cigarette smoking. The initiation of combustible cigarette smoking was assessed at 6- and 12-month intervals. Binomial regression analysis of the outcome at the end of one-year follow-up, when analyzed with independent variables, revealed a significant influence of e-cigarette use on taking up combustible cigarette smoking [Relative Risk: 9.395; 95% CI: 3.03-29.04]. Chi-squared analysis of independent variables revealed e-cigarette use to be significantly associated with fathers' education level (p = 0.00), parental cigarette smoking status (p = 0.00), cigarette smoking among friends (p = 0.00), and family income (p = 0.00). E-cigarette users are more likely to believe it to be healthier (p = 0.00) than combustible smoking. In the present study, e-cigarette usage demonstrated a significant influence on taking up combustible cigarette smoking among its users. Educational institutions should implement stringent policies and regulations to prevent health professionals from using these products.

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Affiliation(s)

Sanjeev B. Khanagar Preventive Dental Science Department, College of Dentistry, King Saud bin Abdulaziz University for Health Sciences, Riyadh 11426, Saudi Arabia King Abdullah International Medical Research Centre, Ministry of National Guard Health Affairs, Riyadh 11481, Saudi Arabia College of Public Health, Texila American University, Georgetown 413741, Guyana
Ibrahim Aldawas College of Dentistry, King Saud bin Abdulaziz University for Health Sciences, Riyadh 11426, Saudi Arabia
Salman Khalid Alrusaini College of Dentistry, King Saud bin Abdulaziz University for Health Sciences, Riyadh 11426, Saudi Arabia
Farraj Albalawi Preventive Dental Science Department, College of Dentistry, King Saud bin Abdulaziz University for Health Sciences, Riyadh 11426, Saudi Arabia King Abdullah International Medical Research Centre, Ministry of National Guard Health Affairs, Riyadh 11481, Saudi Arabia
Aram Alshehri King Abdullah International Medical Research Centre, Ministry of National Guard Health Affairs, Riyadh 11481, Saudi Arabia Restorative and Prosthetic Dental Sciences Department, College of Dentistry, King Saud bin Abdulaziz University for Health Sciences, Riyadh 11426, Saudi Arabia
Mohammed Awawdeh Preventive Dental Science Department, College of Dentistry, King Saud bin Abdulaziz University for Health Sciences, Riyadh 11426, Saudi Arabia King Abdullah International Medical Research Centre, Ministry of National Guard Health Affairs, Riyadh 11481, Saudi Arabia
Kiran Iyer Preventive Dental Science Department, College of Dentistry, King Saud bin Abdulaziz University for Health Sciences, Riyadh 11426, Saudi Arabia King Abdullah International Medical Research Centre, Ministry of National Guard Health Affairs, Riyadh 11481, Saudi Arabia
Darshan Devang Divakar Dental Biomaterials Research Chair, Dental Health Department, College of Applied Medical Sciences, King Saud University, Riyadh 11433, Saudi Arabia;

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Mehrabani S, Shoaei N, Shateri Z, Askarpour M, Nouri M, Keshani P, Honarvar B, Homayounfar R. Consumption of ultra-processed foods could influence the metabolic syndrome odds: A cross-sectional study. Food Sci Nutr 2024;12:2567-2577. [PMID: 38628179 PMCID: PMC11016394 DOI: 10.1002/fsn3.3938] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Revised: 12/13/2023] [Accepted: 12/20/2023] [Indexed: 04/19/2024] Open

Khalil MAM, Sadagah NM, Tan J, Syed FO, Chong VH, Al-Qurashi SH. Pros and cons of live kidney donation in prediabetics: A critical review and way forward. World J Transplant 2024;14:89822. [PMID: 38576756 PMCID: PMC10989475 DOI: 10.5500/wjt.v14.i1.89822] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 12/11/2023] [Accepted: 01/16/2024] [Indexed: 03/15/2024] Open

Saccaro LF, Aimo A, Panichella G, Sentissi O. Shared and unique characteristics of metabolic syndrome in psychotic disorders: a review. Front Psychiatry 2024;15:1343427. [PMID: 38501085 PMCID: PMC10944869 DOI: 10.3389/fpsyt.2024.1343427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Accepted: 02/15/2024] [Indexed: 03/20/2024] Open

Abstract

Introduction

People with psychosis spectrum disorders (PSD) face an elevated risk of metabolic syndrome (MetS), which may reduce their life expectancy by nearly 20%. Pinpointing the shared and specific characteristics and clinical implications of MetS in PSD is crucial for designing interventions to reduce this risk, but an up-to-date review on MetS across the psychosis spectrum is lacking.

Methods

This narrative review fills this gap by examining the clinical literature on characteristics and implications of MetS in both distinct PSD and transdiagnostically, i.e., across traditional categorical diagnoses, with a focus on psychiatric and cardio-metabolic management.

Results

We discuss common and specific characteristics of MetS in PSD, as well as factors contributing to MetS development in PSD patients, including unhealthy lifestyle factors, genetic predisposition, pro-inflammatory state, drugs consumption, antipsychotic medication, and psychotic symptoms. We highlight the importance of early identification and management of cardio-metabolic risk in PSD patients, as well as the existing gaps in the literature, for instance in the screening for MetS in younger PSD patients. We compare hypotheses-generating clinical associations and characteristics of MetS in different PSD, concluding by reviewing the existing recommendations and challenges in screening, monitoring, and managing MetS in PSD.

Conclusion

Early identification and management of MetS are crucial to mitigate the long-term cardio-metabolic toll in PSD patients. Interventions should focus on healthy lifestyle and appropriate pharmacological and behavioral interventions. Further translational and clinical research is needed to develop targeted interventions and personalized treatment approaches for this vulnerable population, aiming at improving physical health and overall well-being.

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Jamali Z, Ayoobi F, Jalali Z, Bidaki R, Lotfi MA, Esmaeili-Nadimi A, Khalili P. Metabolic syndrome: a population-based study of prevalence and risk factors. Sci Rep 2024;14:3987. [PMID: 38368464 PMCID: PMC10874377 DOI: 10.1038/s41598-024-54367-4] [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: 09/21/2023] [Accepted: 02/12/2024] [Indexed: 02/19/2024] Open

Abstract

The association between personal habits and metabolic syndrome (MetS) remains controversial. This study aimed to assess the prevalence of MetS among youths and its association with cigarette, tobacco, opium, and alcohol consumption in the Rafsanjan Youth Cohort Study (RYCS). The current cross-sectional study was based on data from RYCS, as part of the Rafsanjan Cohort Study (RCS). RCS is a branch of the prospective epidemiological research studies in Iran (PERSIAN). In the present study, 2843 youths aged 15-35 were included. MetS was diagnosed using the international diabetes federation (International IDF), National Cholesterol Education Panel- Adult Treatment Panel III (NCEP-ATPIII), and Iranian criteria (IDF Iranian). Binary logistic regression models were performed to estimate odds ratios (ORs) and confidence intervals (CIs). The prevalence of MetS was 7.67%, 7.14%, and 10.13% based on NCEP-ATPIII, IDF Iranian, and International IDF criteria respectively. The odds of MetS according to international IDF and Iranian IDF in the alcohol-drinking group in the last 12 months (OR: 1.51, 95%CI 1.02-2.21, OR: 1.66, 95%CI 1.11-2.48 respectively) were greater compared with the non-drinking group. The odds of having high TG in the alcohol-drinking group in the last 12 months was 1.53 times higher than the control group (OR = 1.53, 95% CI: 1.20-1.94). Furthermore, the odds of having high waist circumference (WC) according to IDF International was significantly higher in the tobacco-smoking group in the last 12 months and in the tobacco-smoking group in the last 12 months daily (OR: 1.23, 95%CI 1.01-1.49 and OR: 1.41, 95%CI 1.01-1.98 respectively) compared to the control groups. The prevalence of MetS was 7.67%, 7.14%, and 10.13% based on NCEP-ATPIII, IDF Iranian, and International IDF criteria respectively. The odds of MetS and high TG were greater in the alcohol-drinking group in the last 12 months compared with the non-drinking group. The odds of high WC in the last 12 months, were greater in the tobacco-smoking group compared with the non-smoking group. However, more longitudinal studies are needed to verify the associations observed in the current study.

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de Jesus M, Chanda A, Grabauskas T, Kumar M, Kim AS. Cardiovascular disease and lung cancer. Front Oncol 2024;14:1258991. [PMID: 38410099 PMCID: PMC10896114 DOI: 10.3389/fonc.2024.1258991] [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: 07/14/2023] [Accepted: 01/19/2024] [Indexed: 02/28/2024] Open

Wei Y, Edstorp J, Feychting M, Andersson T, Carlsson S. Prenatal and adult exposure to smoking and incidence of type 1 diabetes in children and adults-a nationwide cohort study with a family-based design. THE LANCET REGIONAL HEALTH. EUROPE 2024;36:100775. [PMID: 38019976 PMCID: PMC10652139 DOI: 10.1016/j.lanepe.2023.100775] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 10/20/2023] [Accepted: 10/23/2023] [Indexed: 12/01/2023]

Priyadarshini A, Madan R, Das S. Genetics and epigenetics of diabetes and its complications in India. Hum Genet 2024;143:1-17. [PMID: 37999799 DOI: 10.1007/s00439-023-02616-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Accepted: 10/17/2023] [Indexed: 11/25/2023]

Xu K, Li TZ, Terry JG, Krishnan AR, Deppen SA, Huo Y, Maldonado F, Carr JJ, Landman BA, Sandler KL. Age-related Muscle Fat Infiltration in Lung Screening Participants: Impact of Smoking Cessation. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.12.05.23299258. [PMID: 38106099 PMCID: PMC10723505 DOI: 10.1101/2023.12.05.23299258] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2023]

af Geijerstam P, Janryd F, Nyström FH. Smoking and cardiovascular disease in patients with type 2 diabetes: a prospective observational study. J Cardiovasc Med (Hagerstown) 2023;24:802-807. [PMID: 37768866 PMCID: PMC10552835 DOI: 10.2459/jcm.0000000000001540] [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: 02/05/2023] [Revised: 06/18/2023] [Accepted: 07/14/2023] [Indexed: 09/30/2023]

Davalagi S, Amuje R, H S. Cardiovascular Risk Assessment Among People With Type 2 Diabetes Mellitus in Urban Slums of Central Karnataka, India. Cureus 2023;15:e46687. [PMID: 37942395 PMCID: PMC10629598 DOI: 10.7759/cureus.46687] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/08/2023] [Indexed: 11/10/2023] Open

Abstract

BACKGROUND

The intricate interplay between type 2 diabetes mellitus (T2DM) and cardiovascular diseases (CVD) necessitates a comprehensive investigation into the cardiovascular risk landscape among individuals with T2DM. The burgeoning global burden of both conditions underscores the urgency of targeted research in this area, with the potential to inform preventive strategies and mitigate adverse cardiovascular outcomes. By unravelling the risk of CVD among T2DM patients and identifying key risk factors, the current research could pave the way for tailored interventions that could have the potential to substantially alleviate the cardiovascular burden associated with T2DM.

AIMS AND OBJECTIVES

To assess the cardiovascular risk and its determinants among T2DM patients.

METHODS

A cross sectional study was conducted among known diabetes patients accessing urban outreach clinic serving approximately 20,000 population across 18 urban slums in central Karnataka from September 2022 to June 2023. A pre-tested semi-structured questionnaire was used to collect information on socio-demographic details and CVD risk was assessed using QRISK3 score. Data were entered in Excel 2019 (Microsoft, Redmond, WA, USA) and analysed using SPSS version 25.0 (IBM Corp., Armonk, NY, USA) and are presented in the tables and figures.

RESULTS

A total of 483 adults above 30 years participated in the study. Among them, the majority were men (67.9%). Cardiovascular risk factors were found more among males and the 10-year cardiovascular risk assessment prediction through QRISK3 score was higher among males compared to females and it was found to be statistically significant (13.5±8.6% vs. 19.5±10.1%, p<0.001).

CONCLUSION

According to a comparison of cardiovascular risk variables by gender among diabetic patients using the QRISK3's 10-year risk assessment, males, smokers/tobacco users, obese, and known hypertensives had significantly greater risk.

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Chen Z, Liu XA, Kenny PJ. Central and peripheral actions of nicotine that influence blood glucose homeostasis and the development of diabetes. Pharmacol Res 2023;194:106860. [PMID: 37482325 DOI: 10.1016/j.phrs.2023.106860] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Revised: 07/06/2023] [Accepted: 07/18/2023] [Indexed: 07/25/2023]

Jeong SM, Yoo JE, Park J, Jung W, Lee KN, Han K, Lee CM, Nam KW, Lee SP, Shin DW. Smoking behavior change and risk of cardiovascular disease incidence and mortality in patients with type 2 diabetes mellitus. Cardiovasc Diabetol 2023;22:193. [PMID: 37516874 PMCID: PMC10387213 DOI: 10.1186/s12933-023-01930-4] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2023] [Accepted: 07/20/2023] [Indexed: 07/31/2023] Open

Affiliation(s)

Su-Min Jeong Department of Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea Department of Family Medicine, Seoul National University Hospital, Seoul, Republic of Korea Department of Family Medicine, Seoul National University Health Service Center, Seoul, Republic of Korea
Jung Eun Yoo Department of Family Medicine, Seoul National University Hospital, Seoul, Republic of Korea Department of Family Medicine, Healthcare System Gangnam Center, Seoul National University Hospital, Seoul, Republic of Korea
Junhee Park Department of Family Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
Wonyoung Jung Department of Family Medicine/Obesity and Metabolic Health Center, Kangdong Sacred Heart Hospital, Hallym University, Seoul, Republic of Korea
Kyu Na Lee Department of Statistics and Actuarial Science, Soongsil University, Seoul, Republic of Korea
Kyungdo Han Department of Statistics and Actuarial Science, Soongsil University, Seoul, Republic of Korea
Cheol Min Lee Department of Family Medicine, Healthcare System Gangnam Center, Seoul National University Hospital, Seoul, Republic of Korea Department of Family Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
Ki-Woong Nam Department of Neurology, Seoul National University College of Medicine and Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Republic of Korea
Seung-Pyo Lee Department of Internal Medicine and Cardiovascular Center, Seoul National University Hospital, Seoul, Republic of Korea
Dong Wook Shin Department of Family Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea. Department of Clinical Research Design & Evaluation, Samsung Advanced Institute for Health Science & Technology (SAIHST), Sungkyunkwan University, 81 Irwon-Ro, Gangnam-gu, Seoul, 06351, Republic of Korea.

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Behl TA, Stamford BA, Moffatt RJ. The Effects of Smoking on the Diagnostic Characteristics of Metabolic Syndrome: A Review. Am J Lifestyle Med 2023;17:397-412. [PMID: 37304742 PMCID: PMC10248373 DOI: 10.1177/15598276221111046] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/20/2023] Open

Huang LC, Chang YT, Lin CL, Chen RY, Bai CH. Effectiveness of Health Coaching in Smoking Cessation and Promoting the Use of Oral Smoking Cessation Drugs in Patients with Type 2 Diabetes: A Randomized Controlled Trial. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023;20:4994. [PMID: 36981909 PMCID: PMC10049574 DOI: 10.3390/ijerph20064994] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Revised: 03/09/2023] [Accepted: 03/10/2023] [Indexed: 06/18/2023]

Davies C, Vaida F, Otwombe K, Cotton MF, Browne S, Innes S. Longitudinal comparison of insulin resistance and dyslipidemia in children with and without perinatal HIV infection in South Africa. AIDS 2023;37:523-533. [PMID: 36695362 PMCID: PMC9883048 DOI: 10.1097/qad.0000000000003452] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]

Decker ST, Matias AA, Bannon ST, Madden JP, Alexandrou-Majaj N, Layec G. Effects of cigarette smoke on in situ mitochondrial substrate oxidation of slow- and fast-twitch skeletal muscles. Life Sci 2023;315:121376. [PMID: 36646379 DOI: 10.1016/j.lfs.2023.121376] [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: 10/05/2022] [Revised: 12/23/2022] [Accepted: 01/03/2023] [Indexed: 01/15/2023]

Abstract

Epidemiological and clinical evidence suggests that cigarette smoke exposure alters glucose and fatty acid metabolism, leading to greater susceptibility to metabolic disorders. However, the effects of cigarette smoke exposure on mitochondrial substrate oxidation in the skeletal muscle are still poorly understood. Accordingly, this study aimed to examine the acute effects of cigarette smoke on mitochondrial respiratory capacity, sensitivity, and concurrent utilization of palmitoylcarnitine (PC), a long-chain fatty acid, and pyruvate, a product of glycolysis, in permeabilized gastrocnemius and soleus muscle fibers exposed to an acute (1 h) dose (4 %) of cigarette smoke concentrate. Cigarette smoke decreased both mitochondrial respiratory capacity (CONTROL: 50.4 ± 11.8 pmol_O2/s/mg_wt and SMOKE: 22.3 ± 4.4 pmol_O2/s/mg_wt, p < 0.01) and sensitivity for pyruvate (CONTROL: 0.10 ± 0.04 mM and SMOKE: 0.11 ± 0.04 mM, p < 0.01) in the gastrocnemius muscle. In the soleus, only the sensitivity for pyruvate-stimulated mitochondrial respiration trended toward a decrease (CONTROL: 0.11 ± 0.04 mM and SMOKE: 0.23 ± 0.15 mM, p = 0.08). In contrast, cigarette smoke did not significantly alter palmitoylcarnitine-stimulated mitochondrial respiration in either muscle. In the control condition, pyruvate-supported respiration was inhibited by the concurrent addition of palmitoylcarnitine in the fast-twitch gastrocnemius muscle (-27.1 ± 19.7 %, p < 0.05), but not in the slow-twitch soleus (-9.2 ± 17.0 %). With cigarette smoke, the addition of palmitoylcarnitine augmented the maximal respiration rate stimulated by the concurrent addition of pyruvate in the gastrocnemius (+18.5 ± 39.3 %, p < 0.05). However, cigarette smoke still significantly impaired mitochondrial respiratory capacity with combined substrates compared to control (p < 0.05). Our findings underscore that cigarette smoke directly impairs mitochondrial respiration of carbohydrate-derived substrates and is a primary mechanism underlying cigarette smoke-induced muscle dysfunction, which leads to a vicious cycle involving excess glucose conversion into fatty acids and lipotoxicity.

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Titova OE, Baron JA, Fall T, Michaëlsson K, Larsson SC. Swedish Snuff (Snus), Cigarette Smoking, and Risk of Type 2 Diabetes. Am J Prev Med 2023:S0749-3797(23)00020-X. [PMID: 36754744 DOI: 10.1016/j.amepre.2023.01.016] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Revised: 01/09/2023] [Accepted: 01/12/2023] [Indexed: 02/09/2023]

Diet, Lifestyle Behaviours and Other Risk Factors Associated With Type 2 Diabetes Beyond Body Mass Index: A Mendelian Randomization Study. Can J Diabetes 2022;46:822-828. [PMID: 35835669 DOI: 10.1016/j.jcjd.2022.06.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2021] [Revised: 03/10/2022] [Accepted: 06/01/2022] [Indexed: 12/27/2022]

Abstract

OBJECTIVES

Our aim in this study was to identify promising targets for the prevention of type 2 diabetes in addition to weight loss. We conducted a Mendelian randomization (MR) study to investigate the body mass index (BMI)-independent associations of 16 risk factors, including diet, lifestyle behaviours and others, with type 2 diabetes.

METHODS

We selected genetic variants as instrumental variables for diet, sleep traits, smoking, physical activity, education and blood pressure (BP) from European-descent genome-wide association studies (GWASs). Summary statistics for type 2 diabetes were derived from a recent GWAS with 74,124 European cases and 824,006 European controls. The inverse-variance weighted MR method was used to assess the associations of the risk factors with type 2 diabetes, followed by validation of robustness using different MR methods in sensitivity analyses.

RESULTS

Genetically predicted insomnia (odds ratio [OR], 1.10; 95% confidence interval [CI], 1.06 to 1.15), smoking initiation (OR, 1.14; 95% CI, 1.06 to 1.21), educational level (OR, 0.69; 95% CI, 0.65 to 0.74), hypertension (OR, 6.50; 95% CI, 3.13 to 13.50), systolic BP (OR, 1.02; 95% CI, 1.02 to 1.03) and diastolic BP (OR, 1.03; 95% CI, 1.02 to 1.03) had BMI-independent effects on type 2 diabetes risk. In addition, alcohol dependence (OR, 1.10; 95% CI, 1.05 to 1.16; BMI-adjusted OR, 1.04; 95% CI, 0.98 to 1.09) and vegetarian diet (OR, 0.50; 95% CI, 0.33 to 0.74; BMI-adjusted OR, 0.78; 95% CI, 0.57 to 1.06) appeared to be correlated with type 2 diabetes via a BMI-mediated pathway. Sensitivity analyses further confirmed the relationship between these factors and type 2 diabetes.

CONCLUSIONS

In this systematic MR study, insomnia, smoking, education and BP had BMI-independent causal effects on the risk of type 2 diabetes, whereas alcohol dependence and vegetarian diet were associated with type 2 diabetes through BMI.

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Ferreira JRS, Zandonade E, de Paula Alves Bezerra OM, Salaroli LB. Insulin resistance by the triglyceride-glucose index in a rural Brazilian population. ARCHIVES OF ENDOCRINOLOGY AND METABOLISM 2022;66:848-855. [PMID: 35929905 PMCID: PMC10118758 DOI: 10.20945/2359-3997000000509] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/22/2023]

Kondo Y, Hashimoto Y, Hamaguchi M, Kaji A, Sakai R, Inoue R, Kashiwagi S, Mizushima K, Uchiyama K, Takagi T, Naito Y, Fukui M. Effects of Smoking on the Gut Microbiota in Individuals with Type 2 Diabetes Mellitus. Nutrients 2022;14:nu14224800. [PMID: 36432487 PMCID: PMC9695173 DOI: 10.3390/nu14224800] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Revised: 11/09/2022] [Accepted: 11/11/2022] [Indexed: 11/16/2022] Open

Affiliation(s)

Yuriko Kondo Department of Endocrinology and Metabolism, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto 602-8566, Japan
Yoshitaka Hashimoto Department of Endocrinology and Metabolism, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto 602-8566, Japan Department of Diabetes and Endocrinology, Matsushita Memorial Hospital, Moriguchi 570-8540, Japan
Masahide Hamaguchi Department of Endocrinology and Metabolism, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto 602-8566, Japan Correspondence: ; Tel.: +81-75-251-5505; Fax: +81-75-252-3721
Ayumi Kaji Department of Endocrinology and Metabolism, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto 602-8566, Japan
Ryosuke Sakai Department of Endocrinology and Metabolism, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto 602-8566, Japan
Ryo Inoue Laboratory of Animal Science, Department of Applied Biological Sciences, Faculty of Agriculture, Setsunan University, Hirakata 573-0101, Japan
Saori Kashiwagi Molecular Gastroenterology and Hepatology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto 602-8566, Japan
Katsura Mizushima Molecular Gastroenterology and Hepatology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto 602-8566, Japan
Kazuhiko Uchiyama Molecular Gastroenterology and Hepatology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto 602-8566, Japan
Tomohisa Takagi Molecular Gastroenterology and Hepatology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto 602-8566, Japan Department for Medical Innovation and Translational Medical Science, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto 602-8566, Japan
Yuji Naito Department of Human Immunology and Nutrition Science, Kyoto Prefectural University of Medicine, Kyoto 602-8566, Japan
Michiaki Fukui Department of Endocrinology and Metabolism, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto 602-8566, Japan

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G M, Govindarajan S, Veeraraghavan V, Varadarajan S, Balasubramaniam A, R D. Used Toothbrush as a Potential Source of Gene Expression Among Subjects With Systemic Disease and Adverse Habits. Cureus 2022;14:e31391. [DOI: 10.7759/cureus.31391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/10/2022] [Indexed: 11/15/2022] Open

Durlach V, Vergès B, Al-Salameh A, Bahougne T, Benzerouk F, Berlin I, Clair C, Mansourati J, Rouland A, Thomas D, Thuillier P, Tramunt B, Le Faou AL. Smoking and diabetes interplay: A comprehensive review and joint statement. DIABETES & METABOLISM 2022;48:101370. [PMID: 35779852 DOI: 10.1016/j.diabet.2022.101370] [Citation(s) in RCA: 55] [Impact Index Per Article: 18.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Revised: 06/28/2022] [Accepted: 06/28/2022] [Indexed: 06/15/2023]

Affiliation(s)

Vincent Durlach Champagne-Ardenne University, UMR CNRS 7369 MEDyC & Cardio-Thoracic Department, Reims University Hospital, Reims, France.
Bruno Vergès Department of Endocrinology, Diabetology and Metabolic Diseases, CHU Dijon, Dijon, France; INSERM LNC-UMR1231, University of Burgundy, Dijon, France
Abdallah Al-Salameh Department of Endocrinology, Diabetes Mellitus and Nutrition, Amiens University Hospital, Amiens, France; PériTox = UMR-I 01, University of Picardy Jules Verne, Amiens, France
Thibault Bahougne Department of Endocrinology and Diabetology, Strasbourg University Hospital, Strasbourg, France; Institute of Cellular and Integrative Neuroscience, CNRS UPR-3212, Strasbourg, France
Farid Benzerouk Cognition Health and Society Laboratory (EA 6291), University of Reims Champagne-Ardenne, Reims, France; Department of Psychiatry, Reims University Hospital, Reims, France
Ivan Berlin Department of Pharmacology, Hôpital Pitié-Salpêtrière, AP-HP, Paris, France
Carole Clair Department of Training, Research and Innovation, Center for Primary Care and Public Health, University of Lausanne, Lausanne, Switzerland
Jacques Mansourati EA 4324 ORPHY, University of Western Brittany, Brest, France; Department of Cardiology, University Hospital of Brest, Brest, France
Alexia Rouland Department of Endocrinology, Diabetology and Metabolic Diseases, CHU Dijon, Dijon, France
Daniel Thomas Institute of Cardiology, Hôpital Pitié-Salpêtrière, Sorbonne University, Paris, France
Philippe Thuillier Department of Endocrinology, Diabetology and Metabolic Diseases, University Hospital of Brest, Brest, France
Blandine Tramunt Institute of Metabolic and Cardiovascular Diseases, UMR1297 INSERM/UPS, Toulouse University, Toulouse, Franc; Department of Diabetology, Metabolic Diseases and Nutrition, Toulouse University Hospital, Toulouse, France
Anne-Laurence Le Faou Outpatient Addiction Center, Georges Pompidou European Hospital, AP-HP, Sorbonne Paris Cité, Paris, France

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Driva S, Korkontzelou A, Tonstad S, Tentolouris N, Katsaounou P. The Effect of Smoking Cessation on Body Weight and Other Metabolic Parameters with Focus on People with Type 2 Diabetes Mellitus. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022;19:ijerph192013222. [PMID: 36293800 PMCID: PMC9603007 DOI: 10.3390/ijerph192013222] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 09/24/2022] [Accepted: 10/07/2022] [Indexed: 06/01/2023]

Lv X, Jiang Y, Yang D, Zhu C, Yuan H, Yuan Z, Suo C, Chen X, Xu K. The role of metabolites under the influence of genes and lifestyles in bone density changes. Front Nutr 2022;9:934951. [PMID: 36118775 PMCID: PMC9481263 DOI: 10.3389/fnut.2022.934951] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Accepted: 08/04/2022] [Indexed: 11/25/2022] Open

Li M, Chi X, Wang Y, Setrerrahmane S, Xie W, Xu H. Trends in insulin resistance: insights into mechanisms and therapeutic strategy. Signal Transduct Target Ther 2022;7:216. [PMID: 35794109 PMCID: PMC9259665 DOI: 10.1038/s41392-022-01073-0] [Citation(s) in RCA: 307] [Impact Index Per Article: 102.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 06/15/2022] [Accepted: 06/20/2022] [Indexed: 02/06/2023] Open

Sujatha G, Veeraraghavan VP, Alamoudi A, Bahammam MA, Bahammam SA, Alhazmi YA, Alharbi HS, Alzahrani KJ, Al-Ghamdi MS, Alzahrani FM, Varadarajan S, Raj AT, Patil S. Role of Toothbrushes as Gene Expression Profiling Tool for Oral Cancer Screening in Tobacco and Alcohol Users. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022;19:8052. [PMID: 35805720 PMCID: PMC9266251 DOI: 10.3390/ijerph19138052] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/28/2022] [Revised: 06/18/2022] [Accepted: 06/28/2022] [Indexed: 12/04/2022]

Affiliation(s)

Govindarajan Sujatha Department of Oral Pathology and Microbiology, Sri Venkateswara Dental College and Hospital, Chennai 600130, India; (G.S.); (S.V.); (A.T.R.) Saveetha Institute of Medical and Technical Sciences, Saveetha Dental College and Hospitals, Saveetha University, Chennai 600130, India
Vishnu Priya Veeraraghavan Centre of Molecular Medicine and Diagnostics (COMManD), Department of Biochemistry, Saveetha Dental College & Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai 600130, India;
Ahmed Alamoudi Oral Biology Department, Faculty of Dentistry, King Abdulaziz University, Jeddah 21589, Saudi Arabia;
Maha A. Bahammam Department of Periodontology, Faculty of Dentistry, King Abdulaziz University, Jeddah 21589, Saudi Arabia; Executive Presidency of Academic Affairs, Saudi Commission for Health Specialties, Riyadh 11614, Saudi Arabia
Sarah Ahmed Bahammam Department of Pediatric Dentistry and Orthodontics, College of Dentistry, Taibah University, Medina 42353, Saudi Arabia;
Yaser Ali Alhazmi Department of Oral and Maxillofacial Surgery and Diagnostic Sciences, College of Dentistry, Jazan University, Jazan 45412, Saudi Arabia;
Hazar S. Alharbi Department of Basic Dental Sciences, College of Dentistry, Princess Nourah Bint Abdulrahman University, Riyadh 11671, Saudi Arabia;
Khalid J. Alzahrani Department of Clinical Laboratories Sciences, College of Applied Medical Sciences, Taif University, Taif 21944, Saudi Arabia; (K.J.A.); (M.S.A.-G.); (F.M.A.)
Mohammad S. Al-Ghamdi Department of Clinical Laboratories Sciences, College of Applied Medical Sciences, Taif University, Taif 21944, Saudi Arabia; (K.J.A.); (M.S.A.-G.); (F.M.A.)
Fuad M. Alzahrani Department of Clinical Laboratories Sciences, College of Applied Medical Sciences, Taif University, Taif 21944, Saudi Arabia; (K.J.A.); (M.S.A.-G.); (F.M.A.)
Saranya Varadarajan Department of Oral Pathology and Microbiology, Sri Venkateswara Dental College and Hospital, Chennai 600130, India; (G.S.); (S.V.); (A.T.R.)
A. Thirumal Raj Department of Oral Pathology and Microbiology, Sri Venkateswara Dental College and Hospital, Chennai 600130, India; (G.S.); (S.V.); (A.T.R.)
Shankargouda Patil Department of Maxillofacial Surgery and Diagnostic Sciences, Division of Oral Pathology, College of Dentistry, Jazan University, Jazan 45412, Saudi Arabia Centre of Molecular Medicine and Diagnostics (COMManD), Saveetha Dental College & Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai 600130, India

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Nogami E, Miyai N, Zhang Y, Onishi S, Sakaguchi M, Yokoi K, Utusmi M, Arita M. Effects of cigarette smoking on the association between respiratory muscle strength and skeletal muscle mass in middle-aged and older adults: the Wakayama Study. Eur Geriatr Med 2022;13:805-815. [PMID: 35705784 DOI: 10.1007/s41999-022-00662-0] [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: 01/15/2022] [Accepted: 05/17/2022] [Indexed: 10/18/2022]

Anum FNU, Kumari A, Gul M, Bai S, Haseeb M, Maqsood KM, Jamil A, Shaukat F, Jahangir M. Frequency of Subclinical Hypothyroidism in Patients With Chronic Kidney Disease. Cureus 2022;14:e25864. [PMID: 35836430 PMCID: PMC9275548 DOI: 10.7759/cureus.25864] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/12/2022] [Indexed: 11/17/2022] Open

Li C, Yao N, Miller SL, Macpherson C, Hassinger T, Love K, Malin SK. Exercise and Reduced Nicotine Content Cigarettes in Adult Female Smokers: A Pilot Trial. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022;19:6647. [PMID: 35682232 PMCID: PMC9180864 DOI: 10.3390/ijerph19116647] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Revised: 05/24/2022] [Accepted: 05/27/2022] [Indexed: 11/16/2022]

Unnikrishnan AG, Sahay RK, Phadke U, Sharma SK, Shah P, Shukla R, Viswanathan V, Wangnoo SK, Singhal S, John M, Kumar A, Dharmalingam M, Jain S, Shaikh S, Verberk WJ. Cardiovascular risk in newly diagnosed type 2 diabetes patients in India. PLoS One 2022;17:e0263619. [PMID: 35358208 PMCID: PMC8970505 DOI: 10.1371/journal.pone.0263619] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Accepted: 01/21/2022] [Indexed: 11/20/2022] Open

Abstract

Background

Type 2 diabetes mellitus (T2DM) worldwide continues to increase, in particular in India. Early T2DM diagnosis followed by appropriate management will result in more cardiovascular event free life years. However, knowledge of the cardiovascular profile of newly diagnosed T2DM patients is still limited. The aim of this study was to understand the extent of cardiovascular disease (CVD) risk of newly diagnosed T2DM patients in India.

Methods

A cross sectional observational study was conducted to evaluate clinical laboratory and socio-demographic parameters of 5,080 newly diagnosed T2DM patients (48.3 ± 12.8 years of age; 36.7% female). In addition, we determined their cardiovascular risk according to the guidelines of the Lipid Association of India (LAI) and the criteria of the QRISK3 score.

Results

Of the newly T2DM diagnosed patients in India 2,007(39.5%) were classified as “High risk” and 3,073 (60.5%) were classified as “Very high risk” based on LAI criteria. On average, patients had 1.7 ± 0.9 major atherosclerotic cardiovascular disease (ASCVD) risk factors. Low HDL-C value was the most frequent major risk (2,823; 55.6%) followed by high age (2,502; 49.3%), hypertension (2,141; 42.1%), smoking/tobacco use (1,078; 21.2%) and chronic kidney disease stage 3b or higher (568; 11.2%). In addition, 4,192 (82.5%) patients appeared to have at least one cholesterol abnormality and, if the latest LAI recommendations are applied, 96.5% (4,902) presented with lipid values above recommended targets. Based on the QRISK3 calculation Indian diabetes patients had an average CVD risk of 15.3 ± 12.3%, (12.2 ± 10.1 vs. 17.1 ± 13.5 [p<0.001] for females and males, respectively).

Conclusions

Newly diagnosed Indian T2DM patients are at high ASCVD risk. Our data therefore support the notion that further extension of nationwide ASCVD risk identification programs and prevention strategies to reduce the occurrence of cardiovascular diseases are warranted.

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Patil S, Fageeh HN, Mushtaq S, Ajmal M, Chalikkandy SN, Ashi H, Ahmad ZH, Khan SS, Khanagar S, Varadarajan S, Sarode SC, Sarode GS. Prevalence of electronic cigarette usage among medical students in Saudi Arabia – A systematic review. Niger J Clin Pract 2022;25:765-772. [DOI: 10.4103/njcp.njcp_2006_21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]

Chi Y, Wang X, Jia J, Huang T. Smoking Status and Type 2 Diabetes, and Cardiovascular Disease: A Comprehensive Analysis of Shared Genetic Etiology and Causal Relationship. Front Endocrinol (Lausanne) 2022;13:809445. [PMID: 35250867 PMCID: PMC8894600 DOI: 10.3389/fendo.2022.809445] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Accepted: 01/18/2022] [Indexed: 12/23/2022] Open

Abstract

OBJECTIVE

This study aimed to explore shared genetic etiology and the causality between smoking status and type 2 diabetes (T2D), cardiovascular diseases (CVDs), and related metabolic traits.

METHODS

Using summary statistics from publicly available genome-wide association studies (GWASs), we estimated genetic correlations between smoking status and T2D, 6 major CVDs, and 8 related metabolic traits with linkage disequilibrium score regression (LDSC) analysis; identified shared genetic loci with large-scale genome-wide cross-trait meta-analysis; explored potential shared biological mechanisms with a series of post-GWAS analyses; and determined causality with Mendelian randomization (MR).

RESULTS

We found significant positive genetic associations with smoking status for T2D (Rg = 0.170, p = 9.39 × 10^-22), coronary artery disease (CAD) (Rg = 0.234, p = 1.96 × 10^-27), myocardial infarction (MI) (Rg = 0.226, p = 1.08 × 10^-17), and heart failure (HF) (Rg = 0.276, p = 8.43 × 10^-20). Cross-trait meta-analysis and transcriptome-wide association analysis of smoking status identified 210 loci (32 novel loci) and 354 gene-tissue pairs jointly associated with T2D, 63 loci (12 novel loci) and 37 gene-tissue pairs with CAD, 38 loci (6 novel loci) and 17 gene-tissue pairs with MI, and 28 loci (3 novel loci) and one gene-tissue pair with HF. The shared loci were enriched in the exo-/endocrine, cardiovascular, nervous, digestive, and genital systems. Furthermore, we observed that smoking status was causally related to a higher risk of T2D (β = 0.385, p = 3.31 × 10^-3), CAD (β = 0.670, p = 7.86 × 10^-11), MI (β = 0.725, p = 2.32 × 10^-9), and HF (β = 0.520, p = 1.53 × 10^-6).

CONCLUSIONS

Our findings provide strong evidence on shared genetic etiology and causal associations between smoking status and T2D, CAD, MI, and HF, underscoring the potential shared biological mechanisms underlying the link between smoking and T2D and CVDs. This work opens up a new way of more effective and timely prevention of smoking-related T2D and CVDs.

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Liu G, Tao L, Zhu Q, Jiao X, Yan L, Shao F. Association between the metabolic score for insulin resistance (METS-IR) and estimated glomerular filtration rate (eGFR) among health check-up population in Japan: A retrospective cross-sectional study. Front Endocrinol (Lausanne) 2022;13:1027262. [PMID: 36589854 PMCID: PMC9800885 DOI: 10.3389/fendo.2022.1027262] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Accepted: 12/05/2022] [Indexed: 12/23/2022] Open

Abstract

AIM

This study aimed to investigate the relationship between a new metric-metabolic score for insulin resistance (METS-IR)-and estimated glomerular filtration rate (eGFR) among Japanese participants who underwent health check-ups.

METHODS

We conducted a cross-sectional study that involved participants in a medical health screening program, which was conducted at the Medical Health Check-up Center in Japan. This retrospective study examined the relationship between METS-IR and eGFR among 881 individuals that joined the program between March 1, 2004, and December 31, 2012. Covariates consisted of serum laboratory tests and lifestyle questionnaires. Multivariate linear regression analysis was used to explore the association between METS-IR and eGFR. In addition, subgroup and interaction analyses were done based on age, sex, body mass index (BMI), alcohol use, smoking status, and hyperuricemia.

RESULTS

A total of 881 individuals participated in this study. High METS-IR was highly linked with reduced eGFR (adjusted β = -5.04, 95% confidence interval (CI): -7.65 to -2.43), while METS-IR was utilized as a categorical variable inside the multiple regression analysis. A decrease in eGFR of 2.54 units was reported for every 10-unit rise in METS-IR (adjusted β = -2.54, 95% CI: -4.04 to -1.05, P-value = 0.001). Stratified analysis suggested no marked interaction between METS-IR and eGFR across age, sex, BMI, and alcohol consumption groups. However, there was an indication of interaction between METS-IR level, smoking status (P-value = 0.001), and uric level (P-value = 0.011) on eGFR decrease.

CONCLUSIONS

METS-IR is remarkably associated with eGFR among the participants who underwent health check-ups in Gifu, Japan. Although more studies are required to prove it, METS-IR could be applied as a monitoring index for early screening, primary prevention, and diagnostic and treatment management strategies for chronic kidney disease.

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Incorporating Post-Cessation Weight-Control Coaching into Smoking Cessation Therapy to Reduce Type 2 Diabetes Risk. Nutrients 2021;13:nu13103360. [PMID: 34684360 PMCID: PMC8539112 DOI: 10.3390/nu13103360] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Revised: 09/19/2021] [Accepted: 09/22/2021] [Indexed: 11/26/2022] Open

Inhibition of Fibrotic Contraction by Sirolimus (Rapamycin) in an Ex Vivo Model of Thyroid Eye Disease. Ophthalmic Plast Reconstr Surg 2021;37:366-371. [PMID: 33237667 DOI: 10.1097/iop.0000000000001876] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]

Teymoori F, Farhadnejad H, Mokhtari E, Sohouli MH, Moslehi N, Mirmiran P, Azizi F. Dietary and lifestyle inflammatory scores and risk of incident diabetes: a prospective cohort among participants of Tehran lipid and glucose study. BMC Public Health 2021;21:1293. [PMID: 34215245 PMCID: PMC8254228 DOI: 10.1186/s12889-021-11327-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2021] [Accepted: 06/18/2021] [Indexed: 12/15/2022] Open

Abstract

Background

Inflammation is a precursor of chronic disease, which is affected by lifestyle and dietary habits. Recently empirical dietary inflammatory patterns (EDIP), dietary inflammation scores (DIS), and lifestyle inflammation scores (LIS) were developed to indicate lifestyle and dietary contributions in systemic inflammation. The current study aimed to investigate the associations between these indices and the incidence of diabetes among Tehranian adults.

Methods

A total of 4624 individuals, aged 20–75 years, who were free of diabetes at baseline (2008–2011), were followed for 5.71 years (2014–2017) to ascertain incident diabetes. Dietary intakes were collected at baseline using the food frequency questionnaire. The hazard ratio (HR) of diabetes was calculated by Cox proportional hazards regression across quartiles of EDIP, DIS, and LIS, adjusted for potential confounders.

Results

The mean ± SD for the age and BMI of the study population (45.1% male) were 40.8 ± 12.7 years and 27.1 ± 4.1 Kg.m2, respectively. At the end of the follow-up, 329 (7.1%) diabetes cases were identified. In the multivariable-adjusted model, individuals in the highest compared to the lowest quartile of EDIP (HR = 0.83; 95%CI:0.59–1.15, p for trend = 0.286), and LIS (HR = 2.41; 95%CI:1.61–3.60, P for trend < 0.001) had increased risk of diabetes. However, no significant associations were found between the score of DIS and diabetes incidents (HR = 0.83; 95%CI:0.59–1.15, p for trend = 0.286).

Conclusion

Greater adherence to EDIP and LIS scores was associated with a higher risk of diabetes, while no significant association was found between the DIS score and diabetes incident.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-021-11327-1.

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Hsia SH, Nisis ML, Lee ML, Goldstein C, Friedman TC. Metabolic parameters in smokers undergoing smoking reduction. JOURNAL OF CLINICAL AND TRANSLATIONAL ENDOCRINOLOGY 2021;23:100249. [PMID: 33717989 PMCID: PMC7933731 DOI: 10.1016/j.jcte.2021.100249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/13/2020] [Revised: 12/13/2020] [Accepted: 01/18/2021] [Indexed: 11/15/2022]

Dover AR, Strachan MWJ, McKnight JA, Stimson RH, Mackenzie SD, Lyall MJ, Wright RJ, Forbes S, Gibb FW. Socioeconomic deprivation, technology use, C-peptide, smoking and other predictors of glycaemic control in adults with type 1 diabetes. Diabet Med 2021;38:e14445. [PMID: 33128811 DOI: 10.1111/dme.14445] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2020] [Revised: 09/30/2020] [Accepted: 10/27/2020] [Indexed: 12/16/2022]

Cigarette smoking blocks the benefit from reduced weight gain for insulin action by shifting lipids deposition to muscle. Clin Sci (Lond) 2021;134:1659-1673. [PMID: 32573727 DOI: 10.1042/cs20200173] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2020] [Revised: 06/10/2020] [Accepted: 06/23/2020] [Indexed: 12/29/2022]