Role of muscle ultrasound in frailty assessment in older adults with type 2 diabetes mellitus.

BACKGROUND: Frailty is a geriatric syndrome that is characterized by increased vulnerability to intrinsic and extrinsic stressors due to decreased biologic reserves. Muscle ultrasound (US) is a valid and reliable method for assessing muscle quantity in older adults. The study aims to examine the relationship between frailty definitions and US-derived muscle parameters. METHODS: We conducted a cross-sectional study with type 2 diabetes mellitus outpatients in a tertiary hospital, and all participants underwent a comprehensive geriatric assessment. For frailty assessment, the Fried Frailty Phenotype (FFP), the Clinical Frailty Scale (CFS), and the Edmonton Frailty Scale (EFS) were performed. Muscle US measurements included Gastrocnemius Medialis (GM) muscle thickness, GM fascicle length, GM pennation angle, Rectus Femoris (RF) muscle thickness, Rectus Femoris cross-sectional area (RFCSA), Rectus Abdominis (RA) muscle thickness, External Oblique (EO) muscle thickness, Internal Oblique (IO) muscle thickness, and Transverse Abdominis (TA) muscle thickness. RESULTS: In all, 373 participants were included in the study. The median age of participants was 72.7 ± 5.9 years, and 64.6% of them were female. According to the FFP, 18.2% of the participants were living with frailty, 56% of them were pre-frail; 57.4% of them were living with frailty according to the CFS; 25.2% of them were living with frailty, and 20.6% of them were pre-frail according to the EFS. The FFP, CFS, and EFS scores were related to muscle thickness of GM, RF, and RA, fascicle length of GM, and pennation angle of GM and RFCSA. Particularly, GM pennation angle, RF muscle thickness, and RFCSA were associated with an increased risk of frailty. Besides muscle thickness of GM, RF, and RA, fascicle length of GM, pennation angle of GM, and RFCSA were significant for predicting the presence of frailty. CONCLUSIONS: US-derived regional muscle measurements are associated with frailty definitions (in both physical, cumulative deficit, and multidimensional models) in a diabetic geriatric population.

A pilot study for a practical screening tool for dementia: validation of 5-minute cognitive test in a geriatric population.

BACKGROUND: The aim of this study is to validate the Turkish version of the 5-minute cognitive test (FCT) in a geriatric population. MATERIALS AND METHOD: In total, 61 participants aged ≥65 years with normal cognitive functions, mild cognitive impairment (MCI), and early stage dementia were included. The FCT was compared to the standardised Mini Mental State Examination (MMSE) and the Qmci-TR (quick mild cognitive impairment) test. RESULTS: Test reliability for the FCT was strong (Cronbach's α = 0.747). We demonstrated a strong correlation of FCT scores with MMSE and Qmci-TR scores (respectively, r = 0.730, P < 0.001, r = 0.723, P < 0.001). The fact that the scores obtained in the dementia group were significantly lower also showed that the test can be used reliably in the differentiation of MCI and early dementia (P < 0.001). CONCLUSIONS: The FCT is a brief, reliable, and valid cognitive screening test for screening dementia at early stages in a Turkish geriatric population.

Pan-immune inflammation value; a novel biomarker reflecting inflammation associated with frailty.

BACKGROUND: Frailty is suggested to be associated with age-related changes in the immune system, namely immunosenescence. Few studies have investigated the association of frailty with circulating immune biomarkers reflecting immunosenescence. Pan-immune inflammation value (PIV) is a new composite circulating immune biomarker to predict inflammation status. AIM: This study aimed to assess the relationship between PIV and frailty. METHODS: A total of 405 geriatric patients were enrolled in the study. All participants underwent a comprehensive geriatric assessment. The comorbidity burden was evaluated with Charlson Comorbidity Index. Frailty status was evaluated via the Clinical Frailty Scale (CFS), and patients with CFS scores ≥ 5 were defined as living with frailty. PIV was calculated using the formula: (Neutrophil × monocyte × platelet)/lymphocyte. Patients were defined as PIV-low (≤ 372) and PIV-high (> 372). RESULTS: The median age of participants was 72 (IQR = 67-78) years and; 63.0% (n = 225) were female. Patients were divided into two categories (i.e., robust and living with frailty groups), and 320 (79.0%) and 85 (21.0%) patients were in each group, respectively. Median PIV was higher in the living with frailty group (p = 0.008). In the linear and logistic regression analyses, both PIV and PIV-high (> 372) were significantly associated with frailty independently of confounders. DISCUSSION AND CONCLUSION: This is the first study revealing the relationship between PIV and frailty. PIV may be seen as a novel biomarker reflecting inflammation associated with frailty.

Lower gastrocnemius muscle stiffness, derived from elastography, is an independent factor for falls in older adults.

BACKGROUND AND AIMS: It is well known that components of sarcopenia (i.e., decreased muscle strength and mass) are related to falls in older adults. However, the possible effects of changes in muscle quality on falls have not been identified. This study aimed to evaluate the changes in muscle quality reflected by muscle stiffness derived from shear-wave elastography (SWE) and its association with falls in older adults. METHODS: A total of 101 geriatric outpatients were included in the study. Assessments of physical performance, muscle strength (handgrip strength), muscle mass (muscle ultrasonography and bioelectrical impedance analysis), and muscle stiffness of the medial head of gastrocnemius (GCM) in relaxation and passive stretching were performed. The history of falls in the previous year was questioned and recorded. RESULTS: The median (25-75 percentiles) age of participants was 73 (69-77) years, and 66.3% (n = 67) were female. According to fall history, participants were divided into non-fallers and fallers groups, and 72 (71.3%) and 29 (28.7%) participants were in each group, respectively. The median muscle stiffness of (Emean) the GCM in passive stretching was significantly lower in the fallers group (p < 0.001), and it was significantly correlated with the number of falls in the previous year (r: - 0.274, p: 0.010). In regression analyses, the Emean value of GCM in passive stretching was significantly associated with falls independent of confounders (OR: 0.944, 95% CI 0.90-0.98, p = 0.010). DISCUSSION AND CONCLUSION: This is the first study to reveal the relationship between falls and SWE-defined lower GCM stiffness independently of muscle mass and strength.

Antibody response with SARS-CoV-2 inactivated vaccine (CoronaVac) in Turkish geriatric population.

BACKGROUND: Sars-CoV-2 infection influences older individuals at the forefront, and there is still limited data on the COVID-19 vaccine response in the geriatric population. This study aimed to assess antibody response after vaccination with SARS-CoV-2 inactivated vaccine and examine possible factors affecting this response in a geriatric population. METHODS: individuals who have been on at least the 28th day after the second dose of the COVID-19 vaccine were included. Comprehensive geriatric assessment tools and the Clinical Frailty Scale were performed. SARS-CoV-2 spike-specific IgG antibodies were detected and, levels ≥1 U/ml were defined as seropositive, <1 U/ml were defined as seronegative. RESULTS: a total of 497 patients were included and divided into three groups according to the days past after the second dose of the vaccine (Group 1: 28-59 days, Group 2: 60-89 days and Group 3: 90 days and more). Groups included 188, 148 and 171 patients, respectively. Seropositivity rate in each group was 80.9,73.2 and 57.3%, respectively. In Groups 1 and 2, Charlson Comorbidity Index score was higher in the seronegative group (P = 0.023 and P = 0.011, respectively). In Group 3, the prevalence of frailty was significantly higher in the seronegative group (P = 0.002). CONCLUSION: to the best of our knowledge, this is the first study assessing the antibody response after vaccination with Sars-CoV 2 inactivated vaccine in the Turkish geriatric population. Moreover, this is the first study revealing the relationship between antibody response and frailty. Larger studies are needed to confirm the antibody response duration and the association between frailty and COVID-19 vaccine response.

The process from symptom onset to rheumatology clinic in polymyalgia rheumatica.

Polymyalgia rheumatica (PMR) is an inflammatory disease of individuals aged over 50 years. Because of the concomitant malignancy possibility and the high prevalence of constitutional symptoms seen in this condition, patients with classical clinical picture often experience delay in diagnosis and treatment and are exposed to a wide list of laboratory and imaging procedures. In this study, we aimed to explore the adventure these patients experience from symptom onset to rheumatology clinic. A total of 106 PMR patients (84 women, 22 men) mean age 70.1 ± 8 were analyzed retrospectively. The time period from the onset of symptoms and referral to rheumatology specialists was explored. Diagnostic methods applied to these patients, antibiotic use and hospitalization during this period were recorded. The interval between the onset of the symptoms and admission to rheumatology unit was 13 ± 13 months. In this period, abdominal computed tomography (29.2 %), chest computed tomography (21.7 %), cranial magnetic resonance imaging (18.9 %) and whole-body scintigraphy (3.8 %) were applied to the patients. About 30 % of the patients were hospitalized for a mean period of 7 ± 3 days before referral to rheumatology unit, and 30 % of the patients were given antibiotics. In order to reduce the delay in the diagnosis of PMR and prevent unnecessary and expensive diagnostic methods, education of clinicians about the diagnosis of PMR may be beneficial.

Which comorbidity index is more appropriate for geriatric patients from the frailty perspective?

OBJECTIVES: This study examined the relationship between comorbidity indices and physical, psychologic and social frailty and 1-year mortality. METHODS: A cross-sectional analysis was conducted with 136 community-dwelling older adults. The relationship of 4 comorbidity indices (CIRS-G, ACCI, GIC, ICED) with 3 different frailty scales (FRAIL, CFS, TFI) was examined. RESULTS: The participants' median age was 72 years (65-90); 62% of the participants were female. Overall, 15.4% of the participants were living with frailty according to the FRAIL scale, 27.9% of them according to the CFS, 58.8% of them according to the TFI, 47.7% of them living with psychological frailty, and 28.6% of them living with social frailty. There were significant and moderate correlations between CIRS-G and FRAIL, CFS and TFI total scores, TFI-Psychological scores and TFI-Social scores (respectively; p < 0.001, r = 0.530; p < 0.001, r = 0.471; p < 0.001, r = 0.535; p < 0.001, r = 0.402; p = 0.016 r = 0.206). AUC for CIRS-G was calculated as 0.716 among comorbidity indices in predicting the presence of frailty according to the FRAIL scale (p = 0.002, 95%CI [0.60-0.82]), 0.765 according to the CFS (p < 0.001, 95%CI [0.66-0.86]), 0.746 according to the TFI (p < 0.001, 95%CI [0.66-0.82]). CONCLUSION: The CIRS-G index was found to be superior to other indices in predicting the presence of frailty of comorbidity indices, and only GIC scores showed significant results in predicting mortality. However, it would not be the right approach to recommend a single comorbidity index when evaluating older adults.

Assessment of phase angle as a novel indicator for sarcopenic obesity according to the ESPEN/EASO criteria in older adults with diabetes mellitus.

BACKGROUND: Sarcopenic obesity (SO) is a clinical condition in which sarcopenia and obesity occur together, and is associated with more poor clinical outcomes, increased mortality, and morbidity than sarcopenia. Phase angle (PhA), a parameter derived from bioimpedance analysis (BIA), provides data on cellular health, membrane integrity, and cellular function. This study aimed to evaluate the relationship between SO and PhA among older adults with type 2 diabetes mellitus (DM). METHODS: We performed a cross-sectional study in a tertiary hospital, and all participants underwent a comprehensive geriatric assessment, the hand-grip strength test (HGST), the chair stand test (CST) for muscle strength evaluation, the 4-meter walking test, and the timed up-and-go (TUG) test for physical performance assessment. The diagnosis of SO was made according to the ESPEN/EASO criteria. The PhA was determined automatically by the BIA using resistance and reactance at 50 kHz for each participant. RESULTS: A total of 322 participants were included in the study. The mean age of the participants was 72.5 ±5.8, and 203 (63%) of them were female; 63 (19.6%) of them were sarcopenic obese. In multivariable logistic regression analyses, a significant relationship was found when the model was adjusted for age, female gender, MNA-sf scores, HbA1c level, and CCI scores (OR: 0.53, 95%CI: 0.29-0.98, P = 0.04). In ROC analyses, for PhA in predicting SO diagnosis, the AUC was 0.586 (95%CI: 0.505-0.678, P = 0.033). At the cut-off score 4.4, sensitivity was 57.1% and specificity was 61.4%; positive predictive value (PPV) was 26.5%; negative predictive value (NPV) was 85.5%. CONCLUSIONS: The study identified a significant relationship between SO and PhA among older adults with type 2 DM. However, larger prospective studies are needed to confirm the potential utility of PhA as a biomarker for SO.

The effect of social frailty on mental health and quality of life in older people: a cross-sectional study.

PURPOSE: This study aims to evaluate anxiety, depression, loneliness, death anxiety, and quality of life and investigate their relationship with social frailty in the geriatric population. Additionally, it aimed to identify social frailty predictors. METHODS: The study included 136 participants admitted to the geriatric outpatient clinic. The 15-item Geriatric Depression Scale (GDS-15), the Multidimensional Scale of Perceived Social Support (MSPSS), the Cumulative Illness Rating Scale for Geriatrics (CIRS-G), the Templer Death Anxiety Scale (T-DAS), the Loneliness Scale for the Elderly (LSE), the Quality of Life Scale (CASP-19), the Generalized Anxiety Disorder-7 Test (GAD-7), the Tilburg Frailty Indicator (TFI), the FRAIL Scale, and the Clinical Frailty Scale (CFS) were performed. The TFI was used to collect data about social frailty. RESULTS: There were 61.8% females, and the median age (min-max) was 72.2 (65.3-90.3) years. The prevalence rate of social frailty was 26.7%. The rates of depression, loneliness, anxiety, death anxiety, the burden of chronic disease, and frailty were higher in the social frailty group. Furthermore, logistic regression analysis revealed a strong relationship between social frailty status and widowhood (odds ratio (OR) 6.86; 95% confidence interval (95% CI), 2.42-19.37; p < 0.001), moderate to severe anxiety symptoms (OR 4.37; 95% CI 1.08-17.68; p = 0.038), and a TFI-physical frailty score (OR 1.40; 95% CI 1.12-1.73; p = 0.002). CONCLUSION: In older adults, the social dimension of frailty is associated with quality of life and psychological state. Physical frailty and sociodemographic characteristics may affect the development of social frailty.

Physical frailty is related to oxidative stress through thiol/disulfide homeostasis parameters.

AIM: To evaluate relationship between frailty and oxidative stress through thiol/disulfide homeostasis parameters [Native thiol (NT), total thiol (TT), and disulfide levels (D), disulfide-native thiol (D/NT), disulfide-total thiol (D/TT), native thiol-total thiol (NT/TT) ratios, and ischemia-modified albumin levels (IMA)]. MATERIALS AND METHODS: In total, 139 community-dwelling older adults were included. The frailty status, defined by the FRIED frailty index (FFI) and Clinical Frailty Scale (CFS), and comprehensive geriatric assessment results compared with thiol/disulfide homeostasis parameters and ischemia-modified albumin levels. RESULTS: NT and TT levels were significantly lower in the frail group (respectively; p = 0.014, p = 0.020). The FFI scores were correlated with the levels of NT, TT, D/NT, D/TT, and NT/TT (respectively; r = - 0.25, r = - 0.24, r = 0.17, r = 0.17, r = - 0.17). The significant correlation could not be retained with the CFS scores. In ROC analysis, the AUC for NT was calculated as 0.639 in diagnosing frailty according to the FFI (95% CI 0.542-0.737), AUC was 0.638 for TT (95% CI 0.540-0.735), and AUC was 0.610 for NT/TT (95% CI 0.511-0.780). The AUC was calculated as 0.610 for both D/NT and D/TT in diagnosing physical frailty (95% CI 0.511-0.708). CONCLUSION: Thiol/disulfide homeostasis parameters can be a potential biomarker in diagnosing physical frailty. However, further studies are needed for diagnosing frailty defined with cumulative deficit models.

The role of thiol-disulfide homeostasis and ischemia-modified albumin in osteosarcopenia.

BACKGROUND: Oxidative stress results from an imbalance between the induction of reactive oxygen species and the ability of cells to metabolize them. Numerous markers can be used to assess the level of oxidative stress. Thiol-disulfide homeostasis (TDH) and ischemia-modified albumin (IMA) are some of them. The aim of this study is to investigate the role of TDH and IMA, which are indicators of oxidative stress, in older patients with osteosarcopenia (OS). METHODS: The study was conducted cross-sectionally in a geriatrics outpatient clinic. Patients who applied to the outpatient clinic for three months were included in the study. Patients with acute infection, delirium, malignancy, severe liver, heart or kidney dysfunction and who did not give their consent for the study were excluded from the study. The study was conducted with 136 patients. Sarcopenia was diagnosed according to muscle ultrasonography (USG) and handgrip strength (HGS) results. Osteopenia/osteoporosis was diagnosed according to bone mineral densitometry (BMD) results. The combination of osteopenia/osteoporosis and sarcopenia was accepted as OS. RESULTS: Native thiol, total thiol value and nativethiol /totalthiol*100 values were significantly lower in the group with OS (respectively; value = 265 ± 53.8 standard deviation (SD) µmol/L, p = ≤ 0.001; value = 295.33 ± 55.77 SD µmol/L, p = 0.001; value = 90.06 (2.8) interquartile ranges (IQR), p = 0.033). Disulfide/native thiol*100 and disulfide/total thiol*100 values were significantly higher in the group with OS (respectively; value = 5.5 (1.7) IQR, p = 0.033; value = 4.97 (1.4) IQR, p = 0.034). CONCLUSION: In our study, the role of oxidative stress in OS was demonstrated by using TDH as an oxidative stress parameter.

The relationship between urinary incontinence and abdominal muscle thickness in community-dwelling older women undergoing comprehensive geriatric assessment.

PURPOSE: Urinary incontinence (UI) is one of the most common geriatric syndromes in older adults, especially in women. The aim of this study is to show the relationship between urinary incontinence and abdominal muscle thickness measured by muscle ultrasonography (US) in community-dwelling older women adults. METHODS: Eighty-seven community-dwelling older women participated in our study. The presence and the type of UI were recorded. Clinical and demographic characteristics were collected, and a comprehensive geriatric assessment was performed on all participants. Abdominal muscle layer thicknesses were evaluated with muscle US. RESULTS: The prevalence of UI was 55.2% (n = 48) of the study population. The median [IQR] age of the patients in the UI group was 73.0 [69.0-77.5] years and it was 69.0 [67.0-73.0] years in patients without UI (p = 0.007). Abdominal muscle thicknesses were measured smaller in patients with UI than those without UI except for internal oblique muscle thickness. The median [IQR] rectus abdominis muscle thickness was lower in patients with UI than in patients without UI, and the difference was statistically significant (p < 0.003). RA muscle was associated with UI regardless of age, polypharmacy, malnutrition, and frailty (OR: 0.58; 95% CI 0.38-0.89; p = 0.01). CONCLUSIONS: We have shown that UI was independently related to the rectus abdominis muscle thickness, which may reflect the function and mass of the pelvic floor muscles.

Changes in muscle quality identified by shear-wave elastography and association with sarcopenia.

BACKGROUND AND AIMS: This study aimed to investigate the potential role of shear-wave elastography (SWE) in evaluating muscle quality and assess its association with muscle strength and mass. METHODS: A total of 129 patients aged 18-87 years were included. Patients aged >65 years underwent comprehensive geriatric assessment. Anthropometric measurements, assessment of physical performance, muscle strength (handgrip strength [HGS]), muscle mass (B-mode muscle ultrasonography), and muscle quality (identified via SWE) were performed for all patients. RESULTS: The median (interquartile range) age of participants was 69 (59-76) years and 62% (n = 80) were female. According to HGS, patients were divided into normal and low HGS groups, and there were 85 (65.9%) and 44 (34.1%) patients in each group, respectively. The median average value of SWE measurement (Vmean ) of the rectus femoris (RF) in passive stretching was significantly lower in the low HGS group. In regression analyses, Vmean was significantly associated with HGS independently of age, sex, and body mass index. Optimal cutoff values of the Vmean value (m/s) of RF in passive stretching for predicting low HGS were ≤2.62 for male (area under the curve [AUC], 0.882; 95% CI, 0.705-0.938; P = <0.0001), and ≤2.52 for female (AUC, 0.719; 95% CI, 0.605-0.833; P = 0.002). CONCLUSION: To the best of our knowledge, this is the first study revealing SWE is a good predictor of muscle strength, and it could be a useful tool for evaluating muscle quality in clinical practice. Further randomized controlled studies are needed to confirm the presented cutoff values.

Memory T cell responses in seronegative older adults following SARS-CoV-2 vaccination.

Generating memory T cell responses besides humoral immune responses is essential when it comes to the efficacy of a vaccine. In this study, the presence of memory T cell responses after aluminum-adjuvanted inactivated whole-virion SARS-CoV-2 vaccine (CoronaVac) in seronegative and seropositive elderly individuals were examined. CD4+ and CD8+ memory T cell proliferation and IFN-γ production capacities were evaluated. Additionally, clinical frailty scale (CFS) and FRAIL scales of the individuals were scored. CD4+ memory T cell responses more prominent than CD8+ memory T cells. In seronegative individuals, 80% of them had memory CD4+ and IFN-γ, whereas 50% of them had memory CD4+ and all of them had IFN-γ responses. Additionally, 40% of seronegative patients and 50% of seropositive patients had memory CD8+ responses. To sum up, humoral immune responses are not associated with memory T cell responses, and in seronegative individuals, memory T cell responses can be detected.

Ultrasonografically assessed osteosarcopenic obesity is associated with frailty in community-dwelling older adults.

OBJECTIVES: Osteosarcopenic obesity (OSO; also known as adiposity) is the combination of three critical conditions. This study aimed to define OSO using muscle ultrasonography (US), and examine the relationship between OSO and frailty compared with its constituent components. METHODS: A total of160 geriatric patients with a body mass index of ≥30 were enrolled in the study. We obtained US measurements of the rectus femoris thickness and cross-sectional area (RFCSA). OSO was defined as the combination of low muscle function (defined by handgrip strength <27 kg in men and <16 kg in women), low muscle mass (RFCSA ≤5.22 cm2), and the clinical diagnosis of osteoporosis. The modified Fried Frailty Index and Clinical Frailty Scale were used to identify frailty. RESULTS: The median age of participants was 72 y, and 83% (n = 137) were female. Patients were divided into four categories: Obese (n = 72; 43.6%), osteoporotic obese (n = 44; 26.7%), sarcopenic obese (n = 19; 11.5%), and osteosarcopenic obese (n = 25; 15.2%). In the subgroup analysis, the prevalence of frailty was significantly higher in the OSO group than in the other groups on both frailty scales (P < 0.05). The regression analysis showed that OSO significantly increased frailty status when adjusted for confounders detailed in Table 1 (Fried Frailty Index: odds ratio: 5.10; 95% confidence interval, 1.669-15.132; P = 0.004; Clinical Frailty Scale: odds ratio: 3.765; 95% confidence interval, 1.236-11.465; P = 0.020). CONCLUSIONS: US-defined OSO is strongly associated with frailty in older adults according to the first study to define OSO using RFCSA measures.

Maternal genetic contribution to pre-pregnancy obesity, gestational weight gain, and gestational diabetes mellitus.

INTRODUCTION: Pre-pregnancy obesity, gestational diabetes mellitus (GDM), and gestational weight gain (GWG) are associated with each other. This is the first study to investigate whether genetic variants were associated with having GDM, and whether genetic variants-related GDM were associated with adiposity including pre-pregnancy obesity and excessive GWG in Turkish women. PATIENTS AND METHODS: Women with GDM (n = 160) and without GDM (n = 145) were included in case-controlled study. Genotyping of the HNF1A gene (p.I27L rs1169288, p.98V rs1800574, p.S487N rs2464196), the VDR gene (p.BsmI rs1544410, p.ApaI rs7975232, p.TaqI rs731236, p.FokI rs2228570), and FTO gene (rs9939609) SNPs were performed by using RT-PCR. RESULTS: The FTO AA genotype was associated with an increased risk of having GDM (AA vs. AT + TT, 24.4% vs. 12.4%, OR = 2.27, 95% CI [1.23-4.19], p = 0.007). The HNF1A p.I27L GT/TT genotype was associated with increased GDM risk (GT + TT vs. GG-wild, 79.4% vs. 65.5%, OR = 2.02, 95% CI 1.21-3.38], p = 0.007). However, all VDR gene SNPs and the HNF1A p.A98V, p.S487N were not associated with having GDM (p > 0.05). The FTO AA genotype was associated with an increased risk for pre-pregnancy overweight/obesity (OR = 1.43, 95% CI [1.25-3.4], p = 0.035), but not associated with excessive GWG after adjusting for pre-pregnancy weight (p > 0.05). Pre-pregnancy weight, weight at delivery, and GWG did not differ in both VDR and HNF1A gene carriers (p > 0.05). HOMA-IR and HbA1c were increased in both p.I27L TT and FTO AA genotype carriers (p < 0.05). CONCLUSION: The adiposity-related gene FTO is associated with GDM by the effect of FTO on pre-pregnancy obesity. The diabetes-related p.I27L gene is associated with GDM by increasing insulin resistance.