A novel mutation in the proopiomelanocortin (POMC) gene of a Hispanic child: metformin treatment shows a beneficial impact on the body mass index

2018 ◽  
Vol 31 (7) ◽  
pp. 815-819
Author(s):  
Mark A. Hilado ◽  
Ruvdeep S. Randhawa

Abstract Background Proopiomelanocortin (POMC) is a complex polypeptide that produces a variety of biologically active substances via cleavage in a tissue-specific manner [Challis BG, Millington GW. Proopiomelanocortin deficiency. GeneReviews® [Internet]. Seattle (WA): University of Washington, Seattle, 1993–2018], yielding several products including adrenocorticotrophic (ACTH) and melanocyte stimulating hormones (MSH). These peptides have roles in the regulation of food intake, energy homeostasis, adrenal steroidogenesis, melanocyte stimulation and immune modulation. Rare mutations in the POMC gene can lead to ACTH deficiency and thus isolated hypocortisolism. The first cases of POMC mutation were documented by Krude et al. in 1998 [Krude H, Biebermann H, Luck W, Horn R, Brabant G, et al. Severe early-onset obesity, adrenal insufficiency and red hair pigmentation caused by POMC mutations in humans. Nat Genet 1998;19:155–7]. Mutations in the POMC gene were linked with a clinical phenotype of adrenal insufficiency, red hair pigmentation, early onset and rapidly progressive obesity, early onset type 2 diabetes, hypothyroidism, hypogonadism and growth hormone deficiency. Case presentation We describe a prepubertal Hispanic boy with a novel homozygous POMC mutation with severe obesity, hypothyroidism, adrenal insufficiency and abnormal reddish hair pigmentation. The patient presented as a 2-year-old with exponential weight gain, abnormal thyroid labs and speech delay. Laboratory testing demonstrated central adrenal insufficiency and genetic testing confirmed a homozygous mutation (nucleotide change c.20_21ins25) in exon 3 of the POMC gene. Replacement therapy with thyroid hormone and hydrocortisone was coupled to a slight decrease in the rate of weight gain, although hyperphagia persisted. Parent-directed nutrition and activity education as well as attempts to restrict access to food resulted in a plateau of the body mass index (BMI). At 4 years of age, metformin treatment was initiated with the patient showing evolving signs of insulin resistance and failure of lifestyle/dietary intervention to adequately decrease the BMI. Over a 3-year metformin treatment span, the BMI decreased from 34.9 kg/m2 to 32.9 kg/m2. Conclusions We demonstrate a possible role for metformin in stemming progressive weight gain, thereby impacting the early onset obesity due to hyperphagia.

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Sho Tano ◽  
Tomomi Kotani ◽  
Takafumi Ushida ◽  
Masato Yoshihara ◽  
Kenji Imai ◽  
...  

AbstractWeight gain during interpregnancy period is related to hypertensive disorders of pregnancy (HDP). However, in interpregnancy care/counseling, the unpredictability of the timing of the next conception and the difficulties in preventing age-related body weight gain must be considered while setting weight management goals. Therefore, we suggest considering the annual change in the body mass index (BMI). This study aimed to clarify the association between annual BMI changes during the interpregnancy period and HDP risk in subsequent pregnancies. A multicenter retrospective study of data from 2009 to 2019 examined the adjusted odds ratio (aOR) of HDP in subsequent pregnancies. The aORs in several annual BMI change categories were also calculated in the subgroups classified by HDP occurrence in the index pregnancy. This study included 1,746 pregnant women. A history of HDP (aOR, 16.76; 95% confidence interval [CI], 9.62 − 29.22), and annual BMI gain (aOR, 2.30; 95% CI, 1.76 − 3.01) were independent risk factors for HDP in subsequent pregnancies. An annual BMI increase of ≥ 1.0 kg/m2/year was related to HDP development in subsequent pregnancies for women without a history of HDP. This study provides data as a basis for interpregnancy care/counseling, but further research is necessary to validate our findings and confirm this relationship.


Medicina ◽  
2006 ◽  
Vol 43 (1) ◽  
pp. 10 ◽  
Author(s):  
Gražina Drąsutienė ◽  
Janina Tutkuvienė ◽  
Jolita Zakarevičienė ◽  
Diana Ramašauskaitė ◽  
Žaneta Kasilovskienė ◽  
...  

Objective. To evaluate changes in anthropometric and biochemical parameters in pregnancy and their dynamics during last two decades and to determine the association between anthropometric and biochemical parameters, their influence on fetal and neonatal development. Material and methods. In 1985–2005, anthropometric (height, body mass, weight gain during pregnancy, pelvic measurements, skinfold thicknesses, passive body mass) and biochemical (cholesterol, triglyceride, protein, and iron levels) parameters, their correlation, changes in pregnancy were examined; also the correlations between these parameters and neonatal body mass indices were evaluated. In 1986–1987, 383 pregnant women were examined, in 1998 – 130, and in 2003–2005 – 133. Results. During 20 years, the height of examined women increased on an average of 2.5 cm; they became thinner; body mass index decreased. The body composition became similar to “cylinder” shape due to decreased thickness of adipose tissue in the limbs. The dimensions of bony pelvis – external conjugate and bicristal diameters – decreased. Primiparous women became older (1995 – 22.5 years of age, 2004 – 27.6). At the beginning of investigation, the weight gain was on an average of 21.9% of body mass before pregnancy (13.3 kg) and at the end – 23.9% (14.2 kg). The values of anthropometric parameters vary in a consistent pattern during pregnancy: the lower body mass and body mass index at the beginning of pregnancy, the higher weight gain at the end of pregnancy. Blood serum levels of cholesterol, triglycerides, and especially iron were decreased during the study. Conclusions. An inverse correlation between body mass index and lipid metabolism in pregnancy was revealed: the higher body mass index was at the beginning of pregnancy, the lower increase in lipid concentration was during pregnancy. At the beginning of investigation as well as after 20 years, women with low body mass index showed the most significant anthropometric and lipid metabolic changes in pregnancy.


10.1038/509 ◽  
1998 ◽  
Vol 19 (2) ◽  
pp. 155-157 ◽  
Author(s):  
Heiko Krude ◽  
Heike Biebermann ◽  
Werner Luck ◽  
Rüdiger Horn ◽  
Georg Brabant ◽  
...  

2021 ◽  
Author(s):  
Katsuki Eguchi ◽  
Shinichi Shirai ◽  
Masaaki Matsushima ◽  
Takahiro Kano ◽  
Kazuyoshi Yamazaki ◽  
...  

Abstract Background Weight gain is a frequently reported side effect of subthalamic deep brain stimulation; however, the underlying mechanisms remain unclear. The active contact locations influence the clinical outcomes of subthalamic deep brain stimulation, but it is unclear whether weight gain is directly associated with the active contact locations. We aimed to determine whether weight gain is associated with the subthalamic deep brain stimulation active contact locations.Methods We enrolled 14 patients with Parkinson’s disease who underwent bilateral subthalamic deep brain stimulation between 2013 and 2019. Bodyweight and body mass index were measured before and one year following surgery. The Lead-DBS Matlab toolbox was used to determine the active contact locations based on magnetic resonance imaging and computed tomography. Fluorodeoxyglucose-positron emission tomography data were also acquired before and one year following surgery, and statistical parametric mapping was used to evaluate changes in brain metabolism. The relationship between weight and active contact locations was evaluated with a Spearman rank test with a corrected p-value < 0.008. We examined which brain regions’ metabolism fluctuation significantly correlated with increased BMI scores and PET data.Results The body mass index increase was 2.03 kg/m2 1 year post-surgery. Weight gain was correlated with anterior and dorsal locations of the left-side active contacts, as well as with lateral locations of the right-side active contacts. Furthermore, weight gain was correlated with increased metabolism in the left-side limbic and associative regions, including the middle temporal gyrus, inferior frontal gyrus, and orbital gyrus.Conclusions Although the mechanisms underlying weight gain following subthalamic deep brain stimulation are possibly multifactorial, our findings suggest that anterior subthalamic deep brain stimulation alters the activities in the limbic and associative cortical regions, which may then lead to weight gain. Weight gain could be prevented by avoiding stimulation to the anterior part of the subthalamic nucleus.


2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Latifa Mochhoury ◽  
Rachid Razine ◽  
Jalal Kasouati ◽  
Mariam Kabiri ◽  
Amina Barkat

Objectives. To evaluate the impact of the body mass index (BMI) before pregnancy and the weight gain during pregnancy, on the occurrence of maternal and neonatal morbidity in the Moroccan population, as well as to analyze the quality of the weight gain depending on the BMI.Methods. A study was carried out over a period of one year from October 1, 2010 to October 1, 2011, using data collected from a descriptive-transversal study. We recruited nondiabetic women without several HTAs, delivering singletons from 37 completed weeks up to 42 weeks gestation.Results. Total of 1408 were analyzed. The risks of moderate hypertension, macrosomia, dystocia, and resort to cesarean section were higher among overweight or obese women, as well as among women whose weight gain was >16 kg. The differences were significant <0.05.Conclusion. This study demonstrates that overweight women before pregnancy and weight gain during pregnancy are associated with higher risks of maternal and neonatal complications. These data provide ideas on prevention opportunities.


2007 ◽  
Vol 177 (4S) ◽  
pp. 64-64
Author(s):  
Murugesan Manoharan ◽  
Martha A. Reyes ◽  
Alan M. Nieder ◽  
Bruce R. Kava ◽  
MarkS Soloway

2019 ◽  
Vol 25 ◽  
pp. 268-269
Author(s):  
Bolanle Okunowo ◽  
Ifedayo Odeniyi ◽  
Oluwarotimi Olopade ◽  
Olufemi Fasanmade ◽  
Omololu Adegbola ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document