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Maryam Abolhasani,1,&ast; Nastaran Maghbouli,2,&ast; Shahrokh Karbalai Saleh,3 Ziba Aghsaeifar,4 Faeze Sazgara,5 Maryam Tahmasebi,6 Haleh Ashraf,7 Jemal Haidar Ali8,&ast; 1Cardiac Primary Prevention Research Center (CPPRC), Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran; 2Physical Medicine and Rehabilitation Department, Tehran University of Medical Sciences, Tehran, Iran; 3Department of Cardiology, Sina Hospital, Tehran University of Medical Sciences, Tehran, Iran; 4Department of Internal Medicine, Sina Hospital, Tehran University of Medical Sciences, Tehran, Iran; 5Department of Radiology, Guilan University of Medical Sciences, Rasht, Guilan, Iran; 6Department of Cardiology, Amir Al Momenin Hospital, Islamic Azad University of Medical Sciences, Tehran, Iran; 7Cardiac Primary Prevention Research Center (CPPRC), Tehran Heart Center and Research Development Center, Sina Hospital, Tehran University of Medical Sciences, Tehran, Iran; 8Department of Public Health Nutrition, School of Public Health, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia&ast;These authors contributed equally to this workCorrespondence: Jemal Haidar AliAddis Ababa University, College of Health Sciences, School of Public Health, Department of Public Health Nutrition, P.O. Box: 27285, Addis Ababa, 1000, EthiopiaTel +251 115547465; +251 911505465Email hjemal@gmail.comHaleh AshrafResearch Development Center, Sina Hospital, Emam Khomeini St., Tehran, 1136746911, IranFax +98 21-66348553Email hashraf@sina.tums.ac.irBackground: Although the effectiveness of some combined anthropometric and metabolic scores were evaluated in hypertension prediction, none of them had addressed their accuracy in association with overweight/obese populations. This study examined the accuracy of several anthropometric parameters in this regard and compared the novel indices to the ancient ones.Methods: Through a cross-sectional study, 5115 patients have been evaluated at the weight loss clinic. Data on demographic information, anthropometric indices, and biochemical measurements were assembled into a checklist. Multivariable regression modeling and the area under the receiver-operating characteristic (ROC) were analyzed using SPSS version 20. To find new combined scores, SEM (structural equation modeling) analysis was also adopted. P-values < 0.05 were considered statistically significant.Results: Considering ancient indices, WHtR (waist-to-height ratio) showed a sufficient area under the curve in predicting hypertension among both genders concomitant with WC (waist circumference) in men, and BRI (body roundness index) in women as highest AUC. The highest odds ratio (OR) for the presence of hypertension, based on the age-adjusted model, was BRI in females (OR, 3.335; 95% confidence interval [CI], 1.58– 7.28) and WC in males (OR, 13.478; 95% CI: 1.99– 45.02). The combined scores were not superior to the single ones.Conclusion: The most powerful association between hypertension and sufficient discrimination ability of normotensives from hypertensive patients was detected for BRI in women and WC among men. However, neither the BSI and BAI nor FMI and FFMI showed superiority to WC or WHtR in predicting the presence of hypertension.Keywords: prediction, hypertension, obesity, anthropometric indices, novel indices, Iran

Maryam Abolhasani,1 Nastaran Maghbouli,2 Faeze Sazgara,3 Shahrokh Karbalai Saleh,4 Maryam Tahmasebi,5 Haleh Ashraf1,4 1Cardiac Primary Prevention Research Center (CPPRC), Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran; 2Physical Medicine and Rehabilitation Department, Tehran University of Medical Sciences, Tehran, Iran; 3Department of Radiology, Guilan University of Medical Sciences, Rasht, Guilan, Iran; 4Department of Cardiology, Sina Hospital, Tehran University of Medical Sciences, Tehran, Iran; 5Amir Al Momenin Hospital, Department of Cardiology, Islamic Azad University of Medical Sciences, Tehran, IranCorrespondence: Haleh AshrafResearch Development Center,Sina Hospital, Emam Khomeini Street, Tehran 1136746911, IranFax +66348553Email hashraf@sina.tums.ac.irAim: Rapid and growing rise in obesity and diabetes mellitus, as serious human health-threatening issues, is alarming. The aim of the present study was assessing the accuracy of several obesity indices to predict hyperglycemia in overweight and obese Iranian populations and determining the value of such indices in comparison to the conventional parameters. We also evaluated new latent combined scores in this matter.Patients and Methods: Overall, there were 2088 patients recruited from the weight loss clinic of Sina Hospital, an educational hospital of Tehran University of Medical Sciences for this cross-sectional study. Demographic information, anthropometric indices and biochemical measurements were collected and calculated. The multivariable regression modeling as well as area under the receiver-operating characteristic (ROC) analysis was used. To detect the existence of new combined scores, we used SEM (structural equation modeling) analysis through SmartPLS.Results: Combined latent scores and WHtR (waist-to-height ratio) gave us a higher area under the curve in predicting hyperglycemia associated with WC (waist circumference) in women, whereas FFMI (fat-free mass index) gave low values. Additionally, BRI (body roundness index) and latent scores had slightly higher AUC values in predicting hyperglycemia in men. According to the age-adjusted odds ratio (OR) in the presence of hyperglycemia, OR was the highest for WHR (waist to hip ratio) in women (OR, 7.74; 95% confidence interval [CI], 1.71– 15.13). The association of WHR and hyperglycemia remained significant by adjusting for BMI (body mass index), WC and menopausal status.Conclusion: WHR had the strongest association with hyperglycemia in women with only sufficient discrimination ability. However, neither BSI (body shape index) and BAI (body adiposity index) nor FMI (fat mass index) and FFMI were superior to BMI (body mass index), WC or WHtR in predicting hyperglycemia. It was revealed that BRI and combined scores had a more predictive power compared to the BSI, BAI, FMI and FFMI, simplifying hyperglycemia evaluation.Keywords: diabetes mellitus, obesity, anthropometric indices

Background and Aim: Leukocyte adhesion deficiency type 1 is a rare, autosomal recessive disorder that results from mutations in the ITGB2 gene. This gene encodes the CD18 subunit of β2 integrin leukocyte adhesion cell molecules. Leukocyte adhesion deficiency type 1 is characterized by recurrent bacterial infections, impaired wound healing, inadequate pus formation, and delayed separation of the umbilical cord., Materials and Methods: Blood samples were taken from 13 patients after written consent had been obtained. Genomic DNA was extracted, and ITGB2 exons and exon-intron boundaries were amplified by polymerase chain reaction. The products were examined by Sanger sequencing., Results: In this study, 8 different previously reported mutations (intron7+1G>A, c.715G>A, c.1777 C>T, c.843del C, c.1768T>C, c.1821C>A, Intron7+1G>A, c.1885G>A) and 2 novel mutations (c.1821C>A; p.Tyr607Ter and c.1822C>T; p.Gln608Ter) were found., Conclusions: c.1821C>A (p.Tyr607Ter) and c.1822C>T (p.Gln608Ter) mutations should be included in the panel of carrier detection and prenatal diagnosis.

Chronic granulomatous disease (CGD) is an inherited disease of the innate immune system that results from defects in 1 of the 5 subunits of nicotinamide adenine dinucleotide phosphate oxidase complex and leads to life-threatening infections with granuloma formation. During 3 years of study, we recognized 10 male patients with X-linked CGD from a tertiary referral center for immune deficiencies in Iran. The CGD patients were diagnosed according to clinical features and biochemical tests, including nitroblue tetrazolium and dihydrorhodamine-1, 2, 3 tests, performed on patients and their mothers. In all patients, Western blot analysis showed a gp91 phenotype. Mutation screening by single strand conformation polymorphism and multiplex ligation-dependent probe amplification analysis of the CYBB gene encoding gp91, followed by sequencing, showed 9 different mutations, 4 of them novel as far as we know.