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Endocrine System Diseases

The Endocrine System Diseases is a broad category that encompasses a wide range of disorders affecting the glands and hormones that regulate essential bodily functions.
This includes conditions such as diabetes, thyroid disorders, hormone imbalances, and reproductive issues.
Researchers can explore the latest studies on these topics using PubCompares's AI-powered platform, which provides access to protocols, preprints, and patents from the literature.
Thhe platform's comparison tools help identify the best research approaches and products to improve reproducibility and accuracy in endocrine system disease studies.

Most cited protocols related to «Endocrine System Diseases»

STRAW+10 involved a 2-day, in-person meeting hosted at the 2011 Annual Meeting of NAMS. On the first day, international experts gave oral presentations reviewing recent data bearing on the goals, as part of a public symposium, followed by comments and discussion from the audience. The first two sessions focused on data from prospective cohort studies of midlife women, clinical findings related to trajectories of change in menstrual, endocrine and ovarian markers of reproductive aging, and data relevant to how these trajectories vary by ethnicity, body size, and smoking status. A particular focus was on patterns of change in AMH, inhibin B, FSH, estradiol and AFC and their inter-relationships. A third session focused on emerging evidence related to staging reproductive aging in the context of cancer treatment, chronic illness including cancer and HIV-AIDS, and endocrine disorders including polycystic ovarian syndrome (PCOS) and primary ovarian insufficiency (POI, otherwise known as premature ovarian failure). At the end of day one, a panel reviewed and participants discussed modifications that had been proposed by symposium speakers. STRAW+10 explicitly considered feasibility of applying criteria in low resource countries.
Subsequently, 41 invited scientists convened to develop consensus and propose modifications to the STRAW model. These participants had clinical and/or research experience in female reproductive aging and included scientists from several key research groups in the United States, Canada, Australia, the Netherlands and South Africa, representatives from the NIH funded cohort studies of midlife women that have biological samples60 (link) including SWAN, the Michigan Bone Health and Metabolism Study (MBHMS), SMWHS, Biodemographic Models of Reproductive Aging (BIMORA), and the Penn Ovarian Aging Study (POAS) as well as the Australian MWMHP, as well as junior investigators who submitted qualifying posters.
Three breakout groups were formed based on scientific expertise and interest. Group 1 reviewed criteria for STRAW Stages −4 to −2. Group 2 reviewed criteria for STRAW Stages −1 to +2. Each of these two groups was subdivided into two subgroups and assigned a rapporteur. Each subgroup proposed modifications to the STRAW paradigm separately, considering criteria for the relevant stages in healthy women and the weight of evidence concerning the appropriateness of applying these criteria to smokers and women regardless of body size. Each subgroup of Group 1 and of Group 2 then reviewed the recommendations of their paired subgroup and discussed points of disagreement until consensus was reached. Group 3 discussed staging in the context of endocrine disorders and chronic illness and proposed modifications. This group then integrated with one of the Group 1 or Group 2 subgroups.
On the second day, the 41 scientists convened to review and discuss proposed modifications. First, Group 1 and Group 2 reviewed the other group’s recommendations proposed on the previous day. In this way, all groups reviewed all stages under consideration (Stages −4 to +2) Then, the group at-large met to discuss each proposal and final recommendations were adopted by consensus. Preliminary recommendations of the STRAW+10 Workshop were presented at the NAMS annual meeting on September 22 with comments and requests for clarification considered by the STRAW+10 program committee.
Publication 2012
Acquired Immunodeficiency Syndrome Biopharmaceuticals Body Size Bones Conferences Disease, Chronic Endocrine System Diseases Estradiol Ethnicity Females inhibin B Malignant Neoplasms Menstruation Metabolism Native American myopathy Ovarian Failure, Premature Ovary Polycystic Ovary Syndrome Reproduction Signs and Symptoms System, Endocrine Woman

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Publication 2017
Endocrine System Diseases Hair Hereditary Diseases Homo sapiens Hydrocortisone Mental Health Physical Examination Urine
Five priority outcomes are: 1) reproduction and pregnancy complications (e.g. abnormal pregnancies, premature birth, unbalanced sex ratio, and miscarriage), 2) congenital anomalies (ventricular septal defects, hypospadias, undescended testis, cleft lip/cleft palate, and chromosomal anomalies), 3) neuropsychiatric disorders (autism spectrum disorders, learning disorders, and attention-deficit hyperactivity disorder), 4) allergies and immune system deficiencies (asthma, atopic dermatitis, and food allergies), 5) metabolism and endocrine system disorders (impaired glucose tolerance, obesity, impact on reproductive organs, impaired genital formations, and sexual differentiation disorder). However, hundred thousand is not enough to analyze the association between environmental exposures and cancers. JECS collects cancer information in order to contribute future international pooled analysis, e.g. International Childhood Cancer Cohort Consortium (I4C) [6 (link)].
From the JECS cohort, a sub-cohort with the size of 5,000 will be extracted. In that sub-cohort extended outcome measurements are planned, for instance, clinical analysis of blood samples from children; face to face interviews by medical staffs to evaluate neurological development; and medical examination.
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Publication 2014
Anabolism Asthma Autism Spectrum Disorders Child Cleft Palate Congenital Abnormality Cryptorchidism Disorder, Attention Deficit-Hyperactivity Disorder, Chromosomal Eczema Endocrine System Diseases Environmental Exposure Face Food Allergy Genitalia Hematologic Tests Hypersensitivity Hypospadias Intolerances, Glucose Learning Disorders Lips, Cleft Malignant Neoplasms Medical Staff Metabolism Obesity Palate Pregnancy Pregnancy Complications Premature Birth Reproduction Sex Differentiation Disorders Spontaneous Abortion System, Immune Ventricular Septal Defects
The first step employed in the data analysis calculating the informant consensus factor (ICF) [12 ]. ICF values will be low (near 0) if plants are chosen randomly, or if informants do not exchange information about their use. Values will be high (near 1) if there is a well-defined selection criterion in the community and/or if information is exchanged between informants.
The ICF is calculated as follows: number of use citations in each category (nur) minus the number of species used (nt), divided by the number of use citations in each category minus one:
All citations were placed into one of 14 categories: undefined pains or illnesses; skin and subcutaneous tissues; diseases of the endocrine glands, metabolism, and nutrition; blood and hematopoietic organs; skeletal, muscle, and connective tissues; infectious and parasite-related diseases; neoplasies; problems of the circulatory system; problems of the digestive system; problems of the genitourinary system; problems of the nervous system; problems of the respiratory system; problems of the sensorial system – ear; and problems of the sensorial system – eye.
The use value (adapted from the proposal of Phillips et al. [13 (link)]), a quantitative method that demonstrates the relative importance of species known locally, was also calculated:
UV = ΣU/n
where: UV = use value of a species; U = number of citations per species; n = number of informants
All of the material collected was processed, identified with the aid of specialists, and subsequently deposited in the PEUFR herbarium of the Biology Department of the Federal Rural University of Pernambuco. All material was collected with the help of local informants.
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Publication 2005
Blood Cardiovascular System Connective Tissue Digestive System Endocrine System Diseases Hematopoietic System Infection Metabolism Pain Parasitic Diseases Plants Respiratory System Skeletal Muscles Skin Specialists Subcutaneous Tissue System, Genitourinary Systems, Nervous
Between 2002 and 2006, 421 families with at least two long-lived Caucasian siblings, 1671 of their offspring and 744 of the offspring’s partners were recruited in the Leiden Longevity Study, without any selection on health. Males had to be aged 89 years or above and females 91 years or above3 (link)12 (link). For the current study (Switchbox), between March 2012 and July 2013, 135 offspring and partners from the LLS were measured at the study centre of the Leiden University Medical Centre. Inclusion criteria included being middle-aged (55–77 years) and having a stable body mass index (BMI) between 19 kg/m2 and 33 kg/m2. Participants were excluded if their fasting plasma glucose was above 7 mmol/l, if they had any significant chronic, renal, hepatic or endocrine disease, or if they used any medication known to influence lipolysis, thyroid function, glucose metabolism, GH/IGF-1 secretion or any other hormonal axis. Moreover, participants were excluded if they had a recent trans meridian flight, smoking addiction, use of more than 20 units of alcohol per week and extreme diet therapies. Other exclusion criteria specific for the subgroup only, were difficulties to insert and maintain an intravenous catheter, anemia (hemoglobin < 7.1 mmol/l), and blood donation within the last two months. Based on information obtained via telephone questioning, controls with a nonagenarian parent who had one or more nonagenarian siblings were also excluded. All women in this study were postmenopausal. The Switchbox protocol was approved by the Medical Ethical Committee of the Leiden University Medical Centre and was performed according to the Helsinki declaration. All participants gave written informed consent for participation.
Of the 135 subjects included, we excluded from analysis 17 subjects due to incomplete indirect calorimetry data and 6 subjects due to incomplete core body temperature data (Supplementary Fig. 1). Thus, data from 112 subjects (61 offspring, 51 partners) were available for analysis (and are referred to as full study sample). Complete series of 24 -hour blood samples were obtained for a subgroup of 38 participants (20 offspring, 18 partners).
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Publication 2015
Addictive Behavior Anemia BLOOD Blood Donation Body Temperature Calorimetry, Indirect Catheters Caucasoid Races Endocrine System Diseases Epistropheus Ethanol Females Glucose Hemoglobin IGF1 protein, human Index, Body Mass Kidney Lipolysis Males Meridians Metabolism Nonagenarians Parent Pharmaceutical Preparations Plasma secretion Sibling Therapy, Diet Thyroid Gland Woman

Most recents protocols related to «Endocrine System Diseases»

Example 20

Fertility—Progesterone is one of the most important hormones for pregnancy with myriad functions from ensuring implantation of the egg into a healthy uterine wall, to ensuring embryo survival and prevention of immune rejection of the developing baby. Many other hormones act in concert with progesterone, like Follicular Stimulating Hormone (FSH) and Luteinizing Hormone (LH) and can be used to assess optimal fertility windows on a monthly basis. And in fact an over dominant production of estrogen can lead to progesterone deficiency and thus difficulty getting or staying pregnant. It is important that women not only monitor FSH and LH to determine optimal fertility for getting pregnant, but ensure that sufficient levels or progesterone are being produced to ensure pregnancy and viability of the fetus. A study from the British Medical Journal, 2012, demonstrated that a single progesterone level test can help discriminate between viable and nonviable pregnancies. Among women who had an ultrasound, 73 percent had nonviable pregnancies. But among women with progesterone levels below 3 to 6 nanograms per milliliter, the probability of a nonviable pregnancy rose to more than 99 percent (Gallos L et al. British Medical J, 2012).

Perimenopause—Monitoring hormone levels during the menopausal transition may help women better understand important changes in their body and allow them to make more informed decisions about health, diet, and lifestyle. According to Hale G E (Best Pract Res Clin Obstet Gynaecol, 2009), data from endocrine studies on women throughout the menopausal transition show changes in levels of steroid hormones and gonadotropins (Progesterone, Estrodiol, LH, FSH and AMH) and follicle-stimulating hormone undergoes the first detectable change while menstrual cycles remain regular. Erratic and less predictable changes in steroid hormones follow, especially with the onset of irregular cycles. Later serum hormone studies on the inhibins and anti-Mullerian hormone established that diminishing ovarian follicle number contributes to the endocrine changes with advancing reproductive age.

Many fertility issues revolve around genetic, anatomical or other disorders that may either prevent a woman from becoming pregnant and/or staying pregnant. Some of these disorders include hormonal imbalances, diabetes, a short or insufficient cervix, and acute or chronic infections. A cascade of genes has been implicated in the occurrence of getting and staying pregnant. These genes have been studied using genotyping, gene expression, and proteomic analysis to assess a woman's ability to stay pregnant.

In some embodiments the disclosed device focuses on detecting levels of Progesterone, LH, FSH, Estrodiol, AMH, genotyping, gene expression through RNA and methylome sequencing, qPCR and proteomic analysis for fertility and menopause management from menstrual blood or cervicovaginal fluid.

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Patent 2024
BLOOD Cervix Uteri Chronic Infection Diabetes Mellitus Diet Embryo Endocrine System Diseases Epigenome Estrogens Fertility Fetal Viability Follicle-stimulating hormone Gene Expression Genes Genes, vif Gonadotropins Hormones Human Body Human Follicle Stimulating Hormone Infant Inhibin Luteinizing hormone Medical Devices Menopause Menstrual Cycle Menstruation Mullerian-Inhibiting Hormone Ovarian Follicle Ovum Implantation Perimenopause Pregnancy Progesterone Reproduction Steroids System, Endocrine Transcription, Genetic Ultrasonography Uterus Woman
Two hundred and ten individuals were willing to join this study (May 10, 2021, to July 1, 2022). The exclusion criteria for the two groups were as follows: type 1 diabetes mellitus, impaired fasting glucose or impaired glucose tolerance58 (link), hypertension, hypoglycemia (blood sugar levels < 3.9 mmol/L), hyperlipidemia, serious eye diseases (e.g., blindness), symptoms of neurological conditions (e.g., cerebral infarction or hemorrhage), history of neurological abnormality (e.g., Parkinson’s disease), severe head injuries or chronic head discomfort (e.g., migraine), BMI > 31 kg/m2, left- or mixed-handedness, substance (tobacco, alcohol, or psychoactive drug) abuse, taking medications that may affect cognition and memory within 6 months, specific abnormalities detected on conventional MRI scans or any other factors that may influence brain structure or function (e.g., extreme physical weakness, chronic infections, and other endocrine diseases). Patients with T2DM were diagnosed by two experienced endocrinologists following international clinical standards59 . MCI was evaluated via Mini-Mental State Examination (MMSE) and MoCA-B (21 ≤ MoCA-B score < 26, and MMSE score > 24 were diagnosed with MCI)60 ,61 (link).
Participants with brain tumors (n = 3), neuropsychiatric diseases (n = 4) (e.g., major depression or schizophrenia), or developmental disorders (n = 4) were excluded. Finally, 37 patients with T2DM-MCI, 93 patients with T2DM-NCI, and 69 NC were enrolled in this study. The source of patients with T2DM and NC corresponded with our previous study37 (link). This study was approved by the ethics committee of The First Affiliated Hospital of Guangzhou University of Chinese Medicine (ID: NO. JY [2020] 288). Written informed consent was obtained from all participants. In addition, the study was conducted following approved guidelines.
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Publication 2023
Asthenia Blindness Blood Glucose Brain Brain Neoplasms Cerebral Infarction Chinese Chronic Infection Cognition Congenital Abnormality Craniocerebral Trauma Developmental Disabilities Diabetes Mellitus, Insulin-Dependent Drug Abuse Endocrine System Diseases Endocrinologists Ethanol Ethics Committees, Clinical Eye Disorders Glucose Head Hemorrhage High Blood Pressures Hyperlipidemia Hypoglycemia Major Depressive Disorder Memory Migraine Disorders Mini Mental State Examination MRI Scans Nervous System Abnormality Nervous System Disorder Patients Pharmaceutical Preparations Physical Examination Psychotropic Drugs Schizophrenia Tobacco Products
Pulmonary embolism, any type of malignancy and history of radiotherapy or chemotherapy, history of coronary artery disease (CAD), cardiac surgery with any indication, congenital heart disease, endocrine disorders, collagenous vascular disease, acute or chronic renal failure, end-stage liver disease, active inflammatory disease, history of cerebrovascular disease, moderate-to-severe valvular heart disease, myocarditis, and cardiomyopathies were determined as exclusion criteria.
Publication 2023
Blood Vessel Cardiomyopathies Cerebrovascular Disorders Chronic Kidney Diseases Collagen Diseases Congenital Heart Defects Coronary Artery Disease Endocrine System Diseases End Stage Liver Disease Inflammation Malignant Neoplasms Myocarditis Pharmacotherapy Pulmonary Embolism Radiotherapy Surgical Procedure, Cardiac Valve Disease, Heart
Patients with active facial acne of mild-to-moderate severity (Global Acne Grading Scale [GAGS] score from 1 to 30) [14 (link), 15 (link)] were eligible for inclusion. Subjects were excluded if they had previously received oral retinoids, oral antibiotics, tretinoin, or benzoyl peroxide. In addition, patients with diabetes mellitus, endocrine disease, or severe physical illnesses and those who were currently using oral contraceptives, implantable contraceptives, or steroids were excluded [16 ]. All participants involved in the microbiological and clinical investigations were asked to withdraw any topical product 14 days before the beginning of the studies. Moreover, they were not allowed to use any topical intervention throughout the entire study period. The study participants were instructed to apply the topical cream over acne areas twice per day (morning and evening) for 60 days in the microbiological study and for 8 weeks in the clinical study. There were no known protocol deviations during the study. Both investigations were approved by the local Ethics Committee (identifier: 2021/14E) and were in accordance with the tenets of the Helsinki Declaration. Written informed consent was obtained from all participants.
Publication 2023
Acne Vulgaris Antibiotics Contraceptive Agents Contraceptives, Oral Diabetes Mellitus Endocrine System Diseases Face Patients Peroxide, Benzoyl Physical Examination Regional Ethics Committees Retinoids Steroids Tretinoin
We used two cross-sectional surveys, including native populations living at Tibet (>3500m above sea level; high altitude) and Beijing (0-100m above sea level; low altitude). In 2014, a study of endocrine disorders was carried out in community population of Tibet by two-stage cluster random sampling, and 1499 adults participated in the study. From September 2013 to July 2014, the Pinggu metabolic disease study was carried out in community population of Beijing by the same sampling, and 4002 adults aged 26-76 years old took part in the study. Details of the Pinggu metabolic disease study have been published in our previous publication (18 (link)). Pregnant women were not recruited in both studies. The exclusion criteria are as follows: (a) participants with diabetes history (n = 136 at high altitude; n = 386 at low altitude); (b) participants with newly diagnosed diabetes and prediabetes (fasting plasma glucose ≥ 6.1 mmol/L, and/or 2-h plasma glucose after a 75-g oral glucose tolerance test ≥ 7.8 mmol/L, and/or hemoglobin A1c ≥ 5.7%; n = 507 at high altitude; n = 1822 at low altitude); (c) participants with missing data on serum leptin concentrations (n = 18 at high altitude; n = 215 at low altitude). After excluding participants with the above criteria, 838 healthy individuals at high altitude and 1579 at low altitude were left. However, there was a large difference in the sample size of men between the two places (n = 244 at high altitude; n = 759 at low altitude), and there were few overweight and obese people at high altitude after BMI stratification, which may not be representative. Besides, there are substantial differences in fat mass and serum leptin concentrations between men and women. Thus, we finally enrolled 594 native women at high altitude and 820 native women at low altitude in the current analysis.
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Publication 2023
Adult Diabetes Mellitus Endocrine System Diseases Glucose Hemoglobin A, Glycosylated Leptin Metabolic Diseases Obesity Oral Glucose Tolerance Test Plasma Pregnant Women Serum States, Prediabetic Woman

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More about "Endocrine System Diseases"

Endocrine system disorders encompass a diverse range of conditions affecting the glands and hormones that regulate essential bodily functions.
This includes conditions like diabetes, thyroid issues, hormone imbalances, and reproductive problems.
Resesearchers can explore the latest studies on these topics using PubCompare.ai's AI-powered platform, which provides access to protocols, preprints, and patents from the literature.
The platform's comparison tools help identify the best research approaches and products to improve reproducibility and accuracy in endocrine system disease studies.
Explore the latest research on conditions like hypothyroidism, hyperthyroidism, Cushing's syndrome, Addison's disease, and polycystic ovary syndrome (PCOS).
Utilize tools like RNAlater RNA Stabilization Reagent, Pipet Curet, and S-Monovette collection tubes to ensure high-quality sample collection and preservation.
Analyze results using SAS version 9.4 or Cobas c701/702 and Cobas 8000 analyzers.
Validate findings with the CRL-4003 cell line and the I4000SR Immunology Analyzer.
Improve the accuracy and reproducibility of your endocrine system disease research with PubCompare.ai.