Diabetes mellitus Types,Causes,Symptoms and Diagnosis

Diabetes mellitus Overview Types Causes,Symptoms with Diagnosis

Diabetes mellitus is a group of metabolic disorders with hyperglycemia.

Glucose intolerance is characterized by hyperglycemia resulting from defects in glucose and fat metabolism. Overt diabetes is classified as type 1 (T1DM), type 2 (T2DM), and gestational (GDM) A chronic metabolic disorder marked by hyperglycemia. Diabetes mellitus (DM) results either from failure of the pancreas to produce insulin (type 1 DM) or from insulin resistance, with inadequate insulin secretion to sustain normal metabolism (type 2 DM).

Hyper glycemia is due to :

  • · Decreased insulin secretion
  • · Decreased glucose usage
  • · Increased production of glucose.
  • Hyperglycemia and associated metabolic disturbances causes involvement of multiple organ systems lead­ing to morbidity and mortality.

Diabetes mellitus Types,Causes,Symptoms and Diagnosis
Diabetes mellitus Types,Causes,Symptoms and Diagnosis
Diabetes mellitus is of two types according to etiology:

 TYPE I DIABETES:

  • Type 1: There is absolute insulin deficiency or defective insulin secretion.
  • There is pancreatic Beta cell destruction lead­ing to absolute insulin deficiency.
  • Type I occurs usually at less than 30 years age.
  • Type I A diabetes –
  • Immune mediated­Auto immune beta cell destruction leading to insulin deficiency.
  • Type I B diabetes
  • Idiopathic insulin deficiency Tendency to ketosis
  • – No immunologic marker
  • – Cause unknown
  • Common in Asians.

TYPE 2 DIABETES

  • There is insulin resistance, insulin deficiency, and defect of insulin secretion.
  • Type 2 is
  • · Due to insulin resistance
  • · Impaired insulin secretion
  • · Increased glucose production
  • · There is genetic and metabolic defect lead­ing to hyperglycemia.

Two terms: Insulin dependent diabetes mellitus (IDDM or type 1) and Non Insulin dependent diabe­tes mellitus (NIDDM or type 2) are now not used as NIDDM may also require insulin later in life. In obese adolescents type 2 diabetes mellitus may be seen.

Ill. OTHERS

  • A. Genetically defined, monogenic form of DM MODY-maturity onset diabetes of the young
  • · 5 different variants of MODY
  • · Mutation in genes encoding islet tran­scriptase factors
  • · Autosomal dominant disorders
  • · Homozygous mutation causes severe neonatal diabetes.
  • Genetic defects of beta cells due to muta­tions- Maturity onset diabetes of the young called MODY is a subtype of diabetes mellitus which is autosomal dominant, early on­set hyperglycemia, with impaired insulin se­cretion.
  • • MODY I – MODY 6
  • B. Genetic defect in the action of insulin.
  • · Type A – Insulin resistance
    • · Leprechaunismb
    • · Rabson-Mendenhall syndrome
    • · Lipodystrophy.
  • C. Diseases of pancreas
  • D. Endocrinopathies
    • · Acromegaly
    • · Cushing’s syndrome
    • · Pheochromocytoma
    • · Hyperthyroidism
    • · Glucagonoma.
  • E. Drug induced
    • · Thyroid hormones
    • · Beta agonists
    • · Thiazides
    • · Phenytoin
    • · Beta blockers.
  • F. Infections
  • G. Anti-insulin receptor antibodies
  • H. Genetic syndromes
    • · Down’s syndromes
    • · Klinefelter’s syndrome
    • · Turner’s syndrome
    • · Friedreich’s ataxia
    • · Myotonic dystrophy
    • · Huntington’s chorea.

IV. GESTATIONAL DIABETES MELLITUS

  • Occurs in pregnant females due to insulin resis­tance related to metabolic changes in later preg­nancy.
  • Reverts to normal usually. Seen in 4% of pregnancies.
  • May develop into diabetes mellitus later in life 60%).

Signs and Symptoms

History

  • Characteristics of the onset of disease (e.g., DKA, routine lab evaluation)
  • Diet and exercise history

History of diabetes-related complications:

  • Microvascular: Eye, kidney, nerve
  • Macrovascular: Cardiac, cardiovascular disease, peripheral artery disease
  • Other: Sexual dysfunction, gastroparesis
  • Tobacco and alcohol use
  • Polyuria
  • Polydipsia
  • Unexplained weight loss (sometimes accompanied by polyphagia)
  • Blurred vision

Physical Exam

  • Blood pressure, including orthostatics
  • Dorsalis pedis and posterior tibialis pulses
  • Funduscopic exam
  • Thyroid palpation
  • Skin exam (for acanthosis nigricans and insulin injection sites), trophic changes on toes
  • Neurological exam:
  • ›Patellar and achilles reflexes
  • ›Proprioception, vibration, and monofilament sensation tests

Diagnostic Tests & Interpretation

Normal glucose tolerance

  • FPG (Fasting plasma glucose) mg/dl   normal tolerance ( <110)   impaired fasting glucose tolerance (110-125)  —
  • 2hPG (2h plasma glucose) (glutose load 75g)
  • RBG (Random)
  • Normal glucose tolerance test
  • FPG – Fasting plasma glucose (no calorie intake in past 8 hrs).
  • RBG (Random) any time irrespective of last meal (~ 200 mg/dl in DM).
  • HbA1c as a diagnosis test for diabetes mellitus is not standardized.

Prediabetes :

  • Categorized as IFG when diagnosed using a fasting plasma glucose (FPG) or IGT when diagnosed using the oral glucose tolerance test (OGTT):
  • IFG: FPG 100 mg/dL and <126 mg/dL
  • IGT: A 2-hour plasma glucose between 140 mg/dL and 199 mg/dL following ingestion of a 75-g glucose load

Diabetes :

  • Diagnosed using any one of the following 3 tests, each of which must be confirmed on a subsequent day. A1C should not be used to diagnose diabetes
  • FPG: Preferred test, FPG 126 mg/dL
  • Casual plasma glucose (CPG) and symptoms of diabetes. CPG is measured at any time of day, regardless of time since last meal. CPG 200 mg/dL accompanied by
  • Criteria for Diagnosis of Diabetes Mellitus

For screening of diabetes mellitus

symptoms is diagnostic

  • OGTT: More sensitive and specific than FPG, but poorly reproducible; not recommended for routine clinical use. A 2-hour plasma glucose 200 mg/dL following ingestion of a 75-g glucose load is diagnostic
  • Type 2 – FPG is done because patient may have type 2 diabetes mellitus for 10 yrs before being diag­nosed.
  • 50% of patients of type – 2 diabetes mellitus have one or more complications at the time of diagnosis.
  • Type I diabetes mellitus is usually symptomatic from the onset itself.
  • Type I diabetes mellitus there are immunological markers.
  • The likelihood of type 2 diabetes mellitus is more in the following:
  • · Family history of diabetes (parents and sibling with type 2 diabetes mellitus)
  • · Obesity ~ 20% desired body weight
  • Age> 45 yrs
  • Race – Asian, Africans
  • Impaired fasting glucose (IFG) or Impaired glu­cose tolerance (IGT)
  • H/o gestational diabetes mellitus or baby’s weight more than 9 pounds
  • BP > 140/90 mmHg
  • HDL < 35 mg/dl or TG > 250 mg/dl Polycystic ovarian syndome (POD).

PATHOGENESIS Insulin

  • Insulin is produced by beta cells of pancreas. Glucose levels of less than 70 mg/dl stimulate synthesis of insulin.
  • Meals and other stimuli cause release of insulin in bursts every 10 minutes or so and lasting upto 3 hours.
  • Impaired fasting glucose or Diabetes Mellitus Impaired glucose tolerance
  • Type 1 A diabetes mellitus – Pancreatic beta cells are destroyed due to genetic, environmental and immu­nologic factors.
  • The destructive process is progressive.
  • When 80% beta cells are destroyed overt diabetes appears.
  • When there is increased insulin requirement as dur­ing puberty or infection overt diabetes occurs.
  • There is a honeymoon period when without insulin blood sugar is controlled due to reduced insulin re­quirement. Gradually all the beta cells are destroyed by autoimmune process and there is complete .insulin deficiency leading to diabetes.

Genetic considerations

  • Type 1 A diabetes mellitus involves multiple genes.
  • Type 1 A – concordance in twins is 30 – 70%.
  • Most have HLA DR3 or DR4 haplotype.
  • But most persons with HLA DR-3 or DR-4 do not have diabetes.
  • Most with type lA diabetes mellitus do have a first degree relative with this disorder.
  • B. In type 2 diabetes mellitus there is strong genetic component. Disease is polygenic and multifactorial.
  • Insulitis – Pancreatic islets are infiltrated with Iym­phocytes.

Immunologic Markers

  • Islet cells antibodies are present in majority of indi­viduals (more than 75%) with new onset type 1 A diabetes mellitus, in a minority of individuals with type 2 diabetesmellitus and occasionally (5%) in individu­als with gestational diabetes mellitus.

Environmental factors

  • Viruses-Coxsackie and Rubella, and bovine milk intake (proteins) may cause type 1 A.
  • Prevention of type I
  • · By administration of insulin to induce immune tolerance
  • · Immunosuppression
  • · Selective T cell subset deletion
  • · Induction of tolerance to islet proteins
  • · Blocking cytotoxic cytokines
  • · Increase islet resistance.
royalmpo Royalmpo Royalmpo royalmpo royalmpo royalmpo royalmpo https://malangtoday.id/ https://guyonanbola.com/ renunganhariankatolik.web.id royalmpo royalmpo royalmpo dewaslot168 ri188 https://hayzlett.com/c-suite-network/ kingslot jkt88 mpodewa https://going-natural.com/the-story-behind-the-mutilated-scalp-video/ royalmpo/ pisang88/ langkahcurang/ mpohoki/ mpocuan/ royalmpo/ mporoyal/ asiaslot/ rajaslot138/ royalmpo https://hayzlett.com/news/ rajaslot88/ Analisis Scatter Hitam MahjongWays RTP Terukur Kemenangan Puluhan Grid Fase Awal Mahjong Pola Perilaku Pemain Harian Prediksi Strategi Game Terbaik RTP Strategi Target Kemenangan Tekanan Meja Live Kasino Slot Digital Hiburan Ringan Slot Online Tanpa Target Mengelola Mood Pemain Slot https://going-natural.com/my-braid-locs/ https://going-natural.com/kellen-marcus/ narutoslot bangslot royalmpo royalmpo macanasia bosslot slotking gacorway
Strategi Analitik Platform Game Dalam Mengelola Variasi Pola Permainan Online Di Era Windows 12 Pendekatan Data Driven Dalam Memahami Ritme Sistem Permainan Digital Pada Ekosistem Android Modern Studi Dinamika Platform Gaming Melalui Distribusi Kombinasi Simbol Di Tengah Popularitas Xbox Game Pass Analisis Strategi Modern Dalam Mengelola Volatilitas Sistem Permainan Digital Saat Tren Nintendo Kembali Naik Framework Pengolahan Data Gaming Untuk Menjaga Stabilitas Pola Permainan Dalam Era Gemini AI Tools Teori Permainan Mahjong Ways Dalam Analisa Intensitas Sistem RTP Online Pada Perangkat Smartphone Modern Pendekatan Sistematis Dalam Menganalisis Pola Permainan Pada Ekosistem Gaming Setelah Discord Down Model Evaluasi Strategi Platform Game Melalui Observasi Pergerakan Algoritma Setelah Update iOS 26.3.1 Strategi Adaptif Dalam Mengelola Ritme Permainan Pada Platform Digital Dengan Dukungan Windows 12 Pendekatan Data Analitik Untuk Mengidentifikasi Pola Sistem Permainan Mobile Pada Samsung Galaxy S26 Ultra
Studi Adaptasi Strategi Permainan Mahjong Dalam Sistem Platform Digital Di Tengah Tren Nintendo Gaming Analisis Teknologi Gaming Platform Dalam Evolusi Sistem Permainan Berbasis RTP Di Era Gemini AI Pendekatan Sistematik Dalam Analisis Algoritma Permainan Mobile Saat Dark Mode Twitter Kembali Trending Studi Pola Mahjong Ways Dalam Perspektif Strategi Platform Game Pada Perangkat Smartphone Modern Analisis Perkembangan Algoritma Platform Gaming Dalam Sistem Permainan Pada Era Xbox Game Pass Pendekatan Manajemen Risiko Permainan Mobile Dalam Ekosistem Gaming Android Generasi Baru Strategi Pengamatan Sistem Permainan Dalam Lingkungan Platform Game Modern Saat Windows 12 Dibahas Evaluasi Sistem Gaming Platform Dalam Mengelola Variasi Pola Permainan Pada Perangkat Samsung Galaxy Framework Analitik Permainan Digital Dalam Mengelola Variasi Sistem Game Saat Re9 Update Dibahas Gamer Studi Dinamika Platform Game Melalui Pendekatan Analisis Data Di Era Apple Newsroom Digital Model Framework Strategi Permainan Digital Dalam Platform Gaming Berbasis Android Modern Strategi Pengelolaan Sistem Permainan Melalui Pendekatan Data Analitik Pada Infrastruktur Cloud Gaming Analisis Adaptasi Sistem Permainan Dalam Ekosistem Gaming Digital Saat Project Helix Menjadi Sorotan Pendekatan Modern Dalam Analisis Pola Permainan Berbasis Data Saat Gemini AI Digunakan Developer Evaluasi Dinamika Sistem Permainan Digital Melalui Observasi Data Pada Sistem iOS 26.3.1 Studi Struktur Sistem Game Dalam Perspektif Teknologi Gaming Di Tengah Tren Nintendo Global Pendekatan Framework Gaming Dalam Mengelola Pola Permainan Digital Di Tengah Popularitas Mario Day Analisis Perubahan Pola Mahjong Wins Dalam Ekosistem Gaming Modern Saat Re9 Update Diperbincangkan Model Analitik Pola Permainan Mahjong Dalam Sistem Platform Digital Modern Berbasis Android Studi Evolusi Teknologi Gaming Dalam Pengembangan Platform Permainan Pada Sistem Windows 12 Strategi Modern Membaca Sistem Permainan Digital Berbasis Algoritma Pada Infrastruktur Cloud Gaming Evaluasi Sistem Platform Game Dalam Dinamika Permainan Online Pada Era Smartphone Modern Pendekatan Data Platform Dalam Mengidentifikasi Pola Permainan Online Pada Infrastruktur TV App Strategi Pengolahan Data Gaming Dalam Mengelola Pola Permainan RTP Pada Infrastruktur Gaming Cloud Strategi Pengelolaan Pola Permainan Melalui Analisis Platform Digital Saat iPhone Generasi Baru Dirilis Pendekatan Analitik Sistem Game Dalam Mengelola Ritme Permainan Pada Era Xbox Game Pass Strategi Data Driven Dalam Menganalisis Pola Sistem Permainan Digital Pada Infrastruktur Cloud Studi Algoritma Permainan Mahjong Dalam Perspektif Platform Gaming Pada Ekosistem Android Analisis Sistem Permainan Digital Dalam Kerangka Strategi Platform Game Di Era Apple Ecosystem Dinamika Sistem Permainan Mahjong Digital Melalui Observasi Ritme Algoritma Pada Ekosistem Gaming Mobile Modern Pola Mahjong Ways 2 Hari Ini Strategi Malam Mahjong Wins 3 Kisah Sukses Andi Grid Mahjong & Starlight Saksi Mata: Mode Manual Mahjong Wins RTP Bertahap Pragmatic Spiral Pola Mahjong Ways Kurikulum Jackpot Respon Mahjong Wins 3 Lebih Cepat Akselerasi Free Spin Mahjong Wins3