Helicobacter pylori Protection Against Reflux Esophagitis

Background and Aim

Negative association has been reported between presence of Helicobacter pylori and developing gastroesophageal reflux disease (GERD) and its complications. The aim of this study was to determine whether H. pylori (HP) can be protective against GERD in an African American (AA) population.

Methods

From 2004 to 2007, we studied 2,020 cases; esophagitis (58), gastritis (1,558), both esophagitis and gastritis (363) and a normal control group (41). We collected their pathology and endoscopy unit reports. HP status was determined based on staining of gastric biopsy.

Results

HP data was available for 79 % (1,611) of the cases. The frequency of HP positivity in gastritis patients was 40 % (506), in esophagitis patients 4 % and in normal controls 34 % (11), while HP was positive in 34 % of the patients with both esophagitis and gastritis. After adjusting for effects of age and sex, odds ratio of HP was 0.06 (95 % CI 0.01–0.59; P value = 0.01) for the esophagitis group versus the normal group.

Conclusions

Our results show H. pylori has a significant negative association with esophagitis in AAs which may point to a protective role of H. pylori in the pathogenesis of esophagitis. In addition, H. pylori may be the reason for the low GERD complications in AAs.     

Acute-Onset Cerebellar Symptoms in Lhermitte–Duclos Disease: Case Report

Adult-onset Lhermitte–Duclos disease (LD), or dysplastic cerebellar gangliocytoma, is a hamartoma considered pathognomonic for Cowden disease. Classically, LD has a progressive and insidious onset of symptoms. In this case report, we present a patient having rapid neurological deterioration from acute-onset LD. There are only three reported cases of acute LD presentation. A 22-year-old female presented to the emergency department with diplopia, dysarthria, dysphagia, and gait instability which developed within 6 h. A non-contrast CT scan revealed diffuse attenuation in the left cerebellum and mild ventricular dilatation. LP revealed no organisms. Magnetic resonance imaging revealed salient “tiger stripe” appearance of the left cerebellar cortex and effacement of the fourth ventricle. The patient subsequently underwent suboccipital craniotomy and gross total resection of the lesion. The tumor histology showed distortion of normal cerebellar architecture with dysplastic ganglion cells, loss of Purkinje cells, atrophy of the white matter, and expansion of cerebellar folia. Findings were consistent with adult-onset Lhermitte–Duclos disease.     

Association between MIF gene variation and Meniere's disease

Several pieces of evidence support the involvement of immune system in Menière's disease (MD). Macrophage migration inhibitory factor (MIF) plays a key role in immune‐mediated reactions. Several studies have shown an association between MIF gene polymorphisms and susceptibility to various inflammatory and autoimmune disorders. The aim of this study was to explore the association between MIF‐173 G/C polymorphism and MD in an Iranian population. In this case–control association study, MD cases (N = 72) were recruited and were comprised of definitive MD (N = 58) and probable MD (N = 14) subjects. Normal healthy subjects (N = 100) were also included. Genotyping for MIF‐173 G/C polymorphism was carried out using PCR‐RFLP technique. There was a significant increase in genotype GG in patients with MD compared with the control group. (GG vs. GC + CC, P = 0.02, OR = 2.08, 95% CI: 1.02–4.3). This was more significant when definitive MD was stratified and compared with the controls (GG vs. GC + CC, P = 0.009, OR = 2.6, 95% CI = 1.19–6.18). This study's result indicates the potential role of MIF in MD of which further evaluation is required. Also, the more significant association between MIF gene polymorphism and definitive MD designates the involvement of specific pathogenic mechanisms which may be considered as a marker for diagnosis.     

Host Genome,Epigenome, and Oral Microbiome Interactions: Toward Personalized Periodontal Therapy

Periodontal diseases are multidimensional and complex. Bacterial content is the initiator, but disease progression depends on genetic and environmental parameters related to the host. Although bone loss magnitude is the common resulting outcome, the biologic process likely represents a unique inflammatory response characteristic to every individual. Therefore, it is obvious that practitioners must take into account the influence of these parameters and tailor a treatment accordingly. New, emerging deoxyribonucleotide‐based technologies allow integration of the biologic impact of the environment, and periodontists should be prepared to incorporate these technologies into their practice to advance personalized medicine. This commentary provides updated insights on the distinctiveness of inflammation per individual in terms of microbiome and genome specificity and cites some educational resources helpful for implementing individualized therapy.     

SLC34A3 intronic deletion in a new kindred with hereditary hypophosphatemic rickets with hypercalciuria

Objective: Hereditary hypophosphatemic rickets with hypercalciuria (HHRH) is an autosomal recessive form of hypophosphatemia with hyperphosphaturia, hypercalciuria, and hypercalcemia. In two reports on six affected kindreds with HHRH, the disease was mapped to chromosome 9q34, which contains the SLC34A3 gene that encodes the renal type 2c sodium-phosphate cotransporter. Our objective was to define the clinical course of these cases in a family with HHRH and to screen for SLC34A3 gene in order to determine whether these mutations are responsible for HHRH.Methods: After clinical and biochemical evaluations, the entire SLC34A3 gene was screened using PCR amplification followed by direct sequencing technique. In this paper, we describe a new kindred with HHRH and a case of progressive and complicated HHRH presenting at age 27 years.Results: We found 101-bp deletion in intron 9 of the SLC34A3 gene. The index patient was homozygous for this mutation which has been previously reported in a Caucasian population. This is the first report for presence of SLC34A3 intron 9 deletion in an Iranian population.Conclusions: These data showed that HHRH can be easily missed or underdiagnosed. Genetic evaluation of patients with familial hypercalciuria, hypophosphatemia and nephrolithiasis is needed for further information on the prevalence and management of this rare disorder. Conflict of interest:None declared.     

Comparison of Health Status and Quality of Life of Related Versus Paid Unrelated Living Kidney Donors

The aim of this cross‐sectional study was to assess the health status and quality of life (QOL) of paid unrelated versus related living kidney donors postdonation at Shiraz Transplant Center in Iran. We invited all donors (n = 580, 347 paid unrelated, 233 related) who underwent donor nephrectomy at our center from 2004 to 2010 to participate in a health survey and physical examination. Of 580 donors, 144 consented to participate; participation of paid unrelated donors was significantly lower than related (52/347 vs. 92/233; p < 0.001). Participants underwent a complete physical examination, QOL assessment (using a 36‐item short form health survey [SF‐36] questionnaire) and laboratory work‐up. The paid unrelated donors compared with related donors were younger (34.2 ± 7.2 vs. 40.7 ± 9.7 years, p < 0.001), had shorter time since donation (2.9 ± 1.6 vs. 3.8 ± 2 years, p = 0.004), had higher estimated GFR (72.6 ± 22 vs. 63.8 ± 15.3 mL/min/1.73 m², p = 0.006) and had a higher percentage of patients with microalbuminuria (35% vs. 0%, p < 0.001). Additionally, general health and social functioning scores among paid unrelated donors were significantly lower (p < 0.001 and p = 0.02, respectively) than related donors. Other SF‐36 scores, although lower in paid unrelated donors, did not reach statistical significance. Iranian paid unrelated donors have lower QOL and higher incidence of microalbuminuria compared with related donors.     

Psychometric Properties of the Obsessive Compulsive Inventory-Child Version in Iranian Clinical and Community Samples

Child Psychiatry & Human Development - This study evaluated the psychometric properties of the Persian version of the Obsessive–Compulsive Inventory–Child Version (OCI-CV) in...     

The prevalence of osteoporosis/osteopenia in patients with multiple sclerosis (MS): a systematic review and meta-analysis

Neurological Sciences - The prevalence of osteoporosis is reported differently. We designed this systematic review and meta-analysis to estimate pooled prevalence of osteoporosis and osteopenia in...     

Design an Artificial Neural Network by MLP Method; Analysis of the Relationship between Demographic Variables,Resilience, COVID-19 and Burnout

In addition to the effect that the COVID-19 pandemic has had on the physical and mental health of individuals, it has also led to a change in the mental and emotional state of many employees. Especially among businesses and private companies, which faced many restrictions due to the special conditions of the pandemic. Therefore, the present study aimed to design an artificial neural network with MLP technique to analyze the relationship between demographic variables, resilience, COVID-19 and burnout in start-ups in Iran. The research method was quantitative. Managers and employees of start-ups formed the statistical population of the study, based on the statistical sample size of the unlimited community, 384 of them were tested. For data gathering, standard questionnaires include of MBI-GS and BRCS and researcher-made questionnaire of stress caused by COVID-19 were used. The validity of the questionnaires was confirmed by a panel of experts and their reliability was confirmed by Cronbach’s alpha coefficient. The number of neurons in the input layer was equal to 10, the number of neurons in the 1st hidden layer was equal to 7, the number of neurons in the output layer was equal to 1, and the number of epochs was equal to 500. 70% of the data were used for training and 30% for testing. In the designed artificial neural network, all experiment data except one were correctly predicted and the obtained MAE error was less than 0.012%. Finally, he precision and correction of the presented model was confirmed by the obtained results.