Reduced macular thickness and vascular density in abnormal glucose metabolism patients:A meta-analysis of optical coherence tomography(OCT)and OCT angiography studies

Background:Alterations in macular thickness and vascular density before clinically visible diabetic retinopathy(DR)remain inconclusive.This study aimed to determine whether retinal manifestations in abnormal glucose metabolism(AGM)patients differ from those in the healthy individuals.Methods:PubMed,Embase,and Web of Science were searched between 2000 and 2021.The eligibility criteria were AGM patients without DR.Primary and secondary outcomes measured by optical coherence tomography(OCT)and OCT angiography(OCTA)were analyzed and expressed as standardized mean differences(SMDs)with 95%confidence intervals(CIs).A random-effects model was used in the data synthesis.The potential publication bias for the variables was evaluated using Egger’s test.Results:A total of 86 observational studies involving 13,773 participants and 15,416 eyes were included.OCT revealed that compared to healthy controls,the total macular thickness of AGM patients was thinner,including the thickness of fovea(-0.24,95%CI[-0.39,-0.08];P=0.002,I^(2)=87.7%),all regions of parafovea(-0.32,95%CI[-0.54,-0.11];P=0.003;I^(2)=71.7%)and the four quadrants of perifovea;the thickness of peripapillary retinal nerve fiber layer(pRNFL),macular retinal nerve fiber layer(mRNFL),and ganglion cell layer(GCL)also decreased.OCTA indicated that the superficial and deep vascular density decreased,the foveal avascular zone(FAZ)area enlarged,and the acircularity index(AI)reduced in AGM individuals.Conclusions:Retinal thinning and microvascular lesions have occurred before the advent of clinically detectable DR;OCT and OCTA may have the potential to detect these preclinical changes.Registration:PROSPERO;http://www.crd.york.ac.uk/prospero/;No.CRD42021269885.

A cohort study on the association between fasting plasma glucose level over 5. 3 mmol / L and risks of abnormal glucose metabolism and cardiovascular diseases in the elderly

Objective To evaluate the association of fasting plasma glucose(FPG)level over 5.3 mmol/L with the development of abnormal glucose metabolism and cardiovascular disease(CVD).Methods This was a retrospec-tive cohort study with 1 064 non-diabetic subjects(980males;84 females)aged 60 or over,who carried out annual health check-up in Chinese PLA General

Proteomic analysis of overweight/obesity and related abnormal glucose and lipid metabolism caused by phlegm-dampness retention

Objective:To investigate the proteomic characteristics of overweight/obesity and related abnormal glucose and lipid metabolism caused by phlegm-dampness retention to identify related biomarkers.Methods:Seventy-one subjects were enrolled in the study.We assessed blood glucose,blood lipids,body mass index(BMI),and phlegm-dampness pattern,which was confirmed by a traditional Chinese medicine clinician.Of the participants,we included healthy participants with normal weight(NW,n=23),overweight/obese participants with normal metabolism(ONM,n=19),overweight/obese participants with pre-diabetes(OPD,n=12),and overweight/obese participants with marginally-elevated blood lipids(OML,n=17).Among them,the ONM,OPD,and OML groups were diagnosed with phlegmdampness pattern.The data-independent acquisition(DIA)method was first used to analyze the plasma protein expression of each group,and the relevant differential proteins of each group were screened.The co-expressed proteins were evaluated by Venn analysis.The pathway analyses of the differential proteins were analyzed using Ingenuity Pathway Analysis(IPA)software.Parallel reaction monitoring(PRM)was used to verify the differential and common proteins in each group.Results:After comparing ONM,OPD,and OML groups with NW group,we identified the differentially expressed proteins(DEPs).Next,we determined the DEPs among OPD,OML,and ONM groups.Using Venn analysis of the DEPs in each group,24 co-expressed proteins were screened.Two co-expressed proteins were verified by PRM.IPA analysis showed that pathways including LXR/RXR activation,acute phase response signaling,and FXR/RXR activation were common to all three groups of phlegmdamp overweight/obesity participants.However,the activation or inhibition of these pathways was different among the three groups.Conclusion:Participants with overweight/obesity have similar proteomic characteristics,though each type shows specific proteomic characteristics.Two co-expressed proteins,VTN and ORM1,are potential biomarkers for glucose and lipid metabolism diseases with overweight/obesity caused by phlegmdampness retention.

Inflammatory bowel disease and diabetes:Is there a link between them?

Patients with inflammatory bowel disease(IBD)are reported to have an increased risk of diabetes.IBD therapies may also modulate blood glucose substantially.These observations are indicative of mechanistic connection(s)between IBD and diabetes.

Increased levels of lipid metabolism and cystatin-C, but not glucose, affect virtual P vector

Background In this study, we aimed to evaluate the impact of abnormal glucose, lipid and Cystatin-C on the virtual P vector characteristics, which haven＇ t been reported in previous studies. Methods 204 of non-diabetes mellitus （NDM）, 130 of DM （type 2） and 39 of impaired glucose tolerance （IGT） patients were consecutively and retrospectively recruited. We selected a one-minute length of electrocardiogram at 4AM for analysis. After a series of calculating algorisms, we obtained the virtual planar P vector parameters. Results There were no significant differences in FPV, FPA, RSPV, RSPA, HPV and HPA groups. After adjusting confounding factors, the re- gression coefficients （RC） were estimated as follow： for FPV, female gender （RC -0.21, P = 0.02）, triglyceride （RC -0.09, P 〈 0.01）, RVOT （RC 0.03, P = 0.02）; for RSPV, female gender （RC -0.21, P 〈 0.01）, triglyceride （RC -0.10, P 〈 0.01）, average heart rate （RC 0.01, P = 0.02）; for HPV, triglyceride （RC -0.08, P 〈 0.001）, LDL （RC -0.19, P 〈 0.01）, Apo B （RC 0.67, P 〈 0.01）; for RSPA, B type of blood （RC -22.06, P = 0.02）, Cystatin-C （RC -72.79, P = 0.02）, thickness of interventricular septum （RC 3.70, P = 0.01）. Cystatin-C was suggested as a cure related to RSPA, and the cut-off point was 1.6 mg/L. There were no significant risk factors associated with FPA and HPA. There was no difference in virtual P vector among DM, IGT and NDM groups. Conclusion In- creased levels of lipid and Cystatin-C significantly impact the characteristics of virtual P vector, whereas glucose does not. These changes may come from a higher low voltage atrial area and abnormal orientation of atrial depolarization.