This paper introduced some techniques of molecular biology in the diagnosis of tuberculosis including polymerase chain reaction (PCR), RFLP, KT, NASBA, M. tuberculosis AMTDT, KTLCX, LCR Abbott, TMA, QB... and biochemistry and microbiology such as analysis of specific lipid components and cell septal of M. tuberculosis by chromatography and determination of fatty acid in the cell septal of M. tuberculosis
Tuberculosis ; Biochemistry ; microbiology ; diagnosis

Humans ; Otitis Media ; microbiology ; Tuberculosis

Adolescent ; Adult ; Humans ; Male ; Rhinitis ; microbiology ; Sinusitis ; microbiology ; Tuberculosis

Humans ; Infant ; Male ; Mycobacterium tuberculosis ; Otitis Media ; microbiology ; Tuberculosis

China ; Humans ; Mycobacterium tuberculosis ; isolation & purification ; Quality Control ; Sputum ; microbiology ; Tuberculosis, Pulmonary ; microbiology

Humans ; Respiratory Tract Infections ; complications ; microbiology ; Silicotuberculosis ; complications ; microbiology ; Tuberculosis, Multidrug-Resistant ; complications ; microbiology

Tuberculosis of the thyroid gland is an uncommon disease and primary involvement of thyroid is even more rare. It is a rare disease even in countries in which tuberculosis is endemic. The diagnosis is often difficult as the clinical presentation has no distinct characteristics. Clinical course of the disease may resemble toxic goiter or acute thyroiditis or may follow a subacute or chronic growth pattern without specific symptomatology. Histologically presence of necrotizing epithelioid cell granulomas along with langhans type giant cells are the hallmark of thyroid tuberculosis. Demonstration of acid fast bacilli by ZN staining confirms the diagnosis, but this stain is frequently negative in tissue sections.
Adult ; Female ; Granuloma ; microbiology ; pathology ; Humans ; Thyroid Gland ; microbiology ; pathology ; Thyroiditis ; diagnosis ; microbiology ; Tuberculosis ; diagnosis

IS901 RFLP analysis of 36 Mycobacterium avium subsp. avium (MAA) isolates from 15 pheasants (Phasianus colchicus) and two goshawks (Accipiter gentilis) from four pheasant farms was performed. Using this method, six different IS901 RFLP types (E, F, G, M, Q, and V) were identified. The distribution of IS901 RFLP profiles was tightly linked to individual flocks. Matching IS901 RFLP profiles observed in the present study indicate MAA transmission between pheasants and goshawks in the same locality. In two flocks, different pheasants within a flock as well as in various organs of five individual pheasants were found to have two distinct IS901 RFLP profiles.
Animals ; Bone Marrow/microbiology ; *Galliformes ; Intestines/microbiology ; Liver/microbiology ; Mycobacterium avium/*genetics ; *Polymorphism, Genetic ; *Polymorphism, Restriction Fragment Length ; Poultry Diseases/*microbiology ; Spleen/microbiology ; Tuberculosis, Avian/*microbiology

Adult ; Female ; Humans ; Middle Aged ; Thyroid Diseases ; microbiology ; Tuberculosis, Endocrine

OBJECTIVETo explore the influences of intervention on the abilities of detecting pulmonary tuberculosis cases in general hospitals.

METHODSWe selected 6 general hospitals at 3 different levels (A, B, and C). The intervened group included hospitals A1, B1, and C1, and the non-intervened group included hospitals A2, B2, and C2. The results after intervention were compared.

RESULTSThe report rate of pulmonary tuberculosis, sputum positive rate of reported cases, and sputum check rate of reported cases were significantly higher in hospital A1 than grouping hospital A2 (P = 0.000, P = 0.045, and P = 0.017, respectively). The report rate and sputum examination rate of reported cases were significantly higher in hospital B1 than grouping hospital B2 (P = 0.000, P = 0.024, respectively). The report rate and sputum examination rate of reported cases were significantly lower in hospital C1 than grouping hospital C2 (P = 0.000, P = 0.001, respectively). In hospital A1, the report rate, sputum positive rate of reported cases, and sputum check rate of reported cases were not significantly different before and after intervention (P = 0.182, P = 0.116, and P = 0.583, respectively). In hospital B1, the report rate were significantly different before and after intervention (P = 0.004), while the sputum positive rate of reported cases and sputum check rate of reported cases were not significantly different (P = 0.909, P = 0.052, respectively). In hospital C1, the report rate was significantly higher after intervention (P = 0.025). In hospital C2, the sputum check rate significantly increased (P = 0.000).

CONCLUSIONSIntervention influences the hospitals abilities to detect pulmonary tuberculosis cases. However, more optimized and long-term intervention mechanism should be established to increase case detection rate of pulmonary tuberculosis.