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"Latar Belakang: Sepsis merupakan salah satu masalah kesehatan di rumah sakittermasuk di ruang Intensive Care Unit (ICU) dan angka kematiannya masih tetaptinggi meskipun dengan tatalaksana yang maksimal dan biaya yang besar. Kematianmerupakan hal yang sulit untuk diprediksi. Pasien yang telah diresusitasi denganbaik masih berpeluang untuk mengalami kematian karena proses disfungsi organyang terus berlanjut akibat tingginya tingkat inflamasi. Inflamasi yang tidakterkontrol memicu stress oksidasi dan necroptosis. Penelitian terakhir menunjukkankadar protein carbonyl (PCO) dan receptor-interacting protein kinase 3 (RIPK3)tinggi pada pasien sepsis dan dapat digunakan untuk memprediksi kematian.Penelitian ini bertujuan untuk menilai seberapa besar kegagalan resusitasi, kadarPCO, dan kadar RIPK3 dapat memprediksi kematian pada pasien sepsis.Metode: Rancangan penelitian ini adalah kohort prospektif di ruang resusitasi danICU RSUP. Dr. Moh. Hoesin (RSMH) Palembang. Penelitian dimulai setelahsertifikat etik dan izin lokasi diterbitkan sejak bulan Februari sampai Agustus 2019.Kriteria penerimaan meliputi pasien berusia 18 tahun atau lebih yang didiagnosissepsis. Kriteria penolakan meliputi keluarga menolak diikutsertakan dalampenelitian, pasien tidak dirawat di ICU, terlambat didiagnosis (lebih dari 24 jam),hamil dan didiagnosis mati batang otak. Kriteria pengeluaran meliputi pasienmeninggal kurang dari 4 jam setelah diagnosis ditegakkan dan pasien tidak dapatdilakukan follow up dalam waktu 28 hari. Tim peneliti yang telah dilatihsebelumnya mengidentifikasi semua pasien yang memenuhi kriteria penelitian.Semua subjek penelitian mendapatkan resusitasi standar dan diambil sampel darahuntuk diperiksakan ke laboratorium. Pasien diamati selama 28 hari: apakahmengalami kematian atau tidak. Kegagalan resusitasi didefinisikan sebagai kadar laktat ≥2 mmol/l atau reduksi laktat <20%. Data yang didapatkan dianalisis denganuji statistik yang sesuai menggunakan piranti lunak program STATA.Hasil: Didapatkan total 72 subjek penelitian, 13 dikeluarkan karena meninggalkurang dari 4 jam setelah diagnosis ditegakkan. Dari hasil analisis bivariatdidapatkan hubungan antara kegagalan resusitasi (RR 1,36; IK95% 0,965-1,916; p0,085), kadar PCO (RR 2,37; IK95% 1,348-4,194; p 0,0001), dan kadar RIPK3 (RR5,86; IK95% 2,07-16,61; p <0,0001). Dari hasil multivariat hanya didapatkan satuvariabel yang bermakna yaitu kadar RIPK3 (RR 5,39; IK95% 1,490-19,478; p0,010). Setelah dikontrol dengan variabel perancu usia, komorbiditas dan skorAPACHE II didapatkan variabel RIPK3 memiliki RR 4,64 dengan IK95% 1,233-17,479; p 0,023).Simpulan: Kegagalan resusitasi, kadar PCO dan kadar RIPK3 dapat memprediksikematian pada pasien sepsis.

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Background: Sepsis remains one of the health problems at the hospital including

intensive care unit (ICU) since its mortality is still high despite maximal efforts on

therapy. Mortality is an unpredictable event. Patients who were properly

resuscitated still have a probability of mortality because of severe inflammatory

state which may lead to ongoing organ dysfunctions. Uncontrolled inflammation

will trigger oxidative stress and necroptosis. Recent study showed that high level

of protein carbonyl (PCO) and receptor-interacting protein kinase 3 (RIPK3) in

septic patients could be used to predict mortality. This study wished to analyze the

ability resuscitation failure, PCO level and RIPK3 level to predict mortality in

septic patients.

Methods: This prospective cohort study was conducted at resuscitation room and

ICU of RSUP. dr. Moh. Hoesin (RSMH), a single tertiary teaching hospital in

Palembang, South Sumatera. This study was started after ethical and location

authorization were unleashed in February to August 2019. Inclusion criteria were

18 years old or above patients that were diagnosed with sepsis. Exclusion criteria

were patients whose family did not give any consent to participate the study,

patients that were not treated at the ICU, had a late diagnosis (>24 h), pregnant, and

diagnosed with brain dead. Drop out criteria including died <4 h after diagnosed

and patients that could not be followed in 28 days. Investigators were trained to

identified all eligible patients. Subjects had a standard resuscitation and their blood

was taken to be examined at the laboratory. Patients were observed in 28 days

whether there were any mortality or not. Failed resuscitation defined by examined

lactate level ≥ 2 mmol/l or lactate reduction<20%. Data was statistically analyzed

with STATA™.

Results: Seventy two subjects were included to the study but 13 of them were

dropped out because died within 4 h after diagnosed. From bivariate analysis, there

was an association between failed resuscitation (RR 1.36; CI95% 0.965-1.916; p

0.085), PCO level (RR 2.37; CI95% 1.348-4.194; p 0.0001), and RIPK3 level (RR

5,86; CI95% 2.07-16.61; p <0.0001). From multivariate analysis using cox

regression time constant, the only variable statistically significant was RIPK3 (RR

5.39; CI95% 1.490-19.478; p 0.010). After adjusted by confounding variables,

including age, comorbidities, and APACHE II score, RIPK3 had RR 4.64 with CI

95% 1.233-17.479; p 0.023.

Conclusions: Failed resuscitation, PCO level, and RIPK3 level can predict

mortality in sepsis patients"

"Latar Belakang. Sepsis merupakan masalah besar yang menyumbang tingkat mortalitas tinggi. Hal ini diperparah dengan adanya komorbid keganasan. Dalam salah satu penelitian menyebutkan pasien sepsis dengan komorbid keganasan mempunyai resiko 2,32 kali lebih tinggi dibandingkan dengan pasien tanpa komorbid keganasan. Untuk itu diperlukan data faktor-faktor yang memengaruhi mortalitas pasien sepsis dengan komorbid keganasan agar dapat memberikan terapi yang efektif dan efisien dan menurunkan angka mortalitas.Tujuan Penelitian. Mengetahui faktor-faktor yang memengaruhi mortalitas pada pasien sepsis dengan komorbid keganasan.Metode. Penelitian dilaksanakan dengan desain kohort retrospektif . Data diambil dari rekam medis pasien sepsis dengan komorbid keganasan yang dirawat di RS Ciptomangunkusumo dan memenuhi kriteria inklusi dari tahun 2020 sampai 2022. Dilakukan uji kategorik dan dilanjutkan dengan Uji regresi log pada variabel-variabel yang memenuhi syarat.Hasil. Dari 350 subjek sepsis dengan komorbid keganasan yang memenuhi kriteria inklusi didapatkan mortalitas sebanyak 287 (82%) subjek. Pada ujia kategorik bivariat didapatkan 2 variabel yang mempunyai kemaknaan secara statistik yaitu skor SOFA dan performa status dengan nilai P masing-masing <0,001 dan <0,001. Setelah dilakukan uji log regresi didapatkan Odds Ratio 5.833 IK (3,214-10,587) untuk variabel skor SOFA dan Odds Ratio3,490 IK (1,690-7,208) untuk variabel performa status.Kesimpulan. Variabel skor SOFA dan performa status mempunyai hubungan yang bermakna terhadap mortalitas pasien sepsis dengan komorbid keganasan

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Background. Sepsis is a major problem that contributes to a high mortality rate. This is exacerbated by the presence of malignancy. In one study, sepsis patients with malignancy had a 2.32 times higher risk compared to patients without malignancy. For this reason, factors that influence mortality in sepsis patients with malignancy are needed in order to provide effective and efficient therapy and reduce mortality.

Research purposes. Knowing the factors that influence mortality in sepsis patients with  malignancy.

Method. The study was conducted with a retrospective cohort design. Data were taken from the medical records of sepsis patients with comorbid malignancy who were treated at Ciptomangunkusumo Hospital and met the inclusion criteria from year 2020 to 2022. A categorical test was carried out and followed by a log regression test on eligible variables.

Results.  Of the 350 sepsis subjects with comorbid malignancy who met the inclusion criteria, 287 (82%) subjects had a mortality. In the bivariate categorical test, there were 2 variables that had statistical significance, namely the SOFA score and status performance with P values ​​of <0.001 and <0.001respectively. After doing the log regression test is obtained Odds Ratio 5.833 CI (3.214-1.587) for SOFA score variables and Odds Ratio 3.490 CI (1.690-7.208) for status performance variables.

Conclusion. SOFA score and performance status variables have a significant relationship to the mortality of sepsis patients with comorbid malignancy."

"Protein of seaweed . Seeaweds are consumed by people,especially who lived in the coastal areas....."

"Penelitian ini bertujuan untuk mengetahui korelasi antara asupan karbohidrat, protein dan lemak dengan kadar C-Reactive Protein pada pasien kanker paru stadium IIIB-IV. Progresivitas kanker paru dipengaruhi oleh sistem kekebalan tubuh, faktor genetik dan respon inflamasi. CRP sebagai salah satu marker inflamasi dapat diandalkan sebagai salah satu parameter untuk memprediksi perkembangan kanker. Subjek didapatkan melalui consecutive sampling yang melibatkan 49 subjek kanker paru stadium IIIB ndash; IV yang tidak sedang menjalani terapi di RS Kanker 'Dharmais'. Hasil penelitian didapatkan rerata usia 55,82 12,26 tahun, sebanyak 63,3 berjenis kelamin laki-laki. Nilai median CRP yaitu 23,82 0,30 - 207,29 mg/L. Pada penelitian ini tidak ditemukan adanya korelasi yang bermakna antara asupan karbohidrat dengan kadar CRP serum p = 0,919 , asupan protein dengan kadar CRP serum p = 0,257 dan asupan lemak dengan kadar CRP serum p = 0,986 . Kesimpulan: pada penelitian ini tidak didapatkan korelasi antara asupan karbohidrat, protein dan lemak dengan kadar CRP serum sebagai penanda perkembangan kanker.

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The aim of the study was to determine the correlation between carbohydrate, fat and protein intake with the serum C Reactive Protein level in lung cancer patients stage IIIB ndash IV. The progression of lung cancer is influenced by immune system, genetic factors and inflammatory response, therefore CRP can be relied as one of the parameters for predicting cancer cell growth. Subjects were recruited by consecutive sampling, 49 subjects with lung cancer stage IIIB IV who currently not receving any treatment in Dharmais Cancer Hospital participating in this study. The mean age of subject was 55,82 12,26 years old and 63,3 were male. The median value of CRP was 23,82 0,30 207,29 mg L. This study did not showed significant correlation between carbohydate, protein and fat intake with serum CRP value p 0,919 p 0,257 p 0,986, respectively. In conclusion, there is no correlation between carbohydrate, protein and fat intake with serum CRP level in lung cancer stage IIIB ndash IV."

"This volume has a strong focus on homo-oligomerization, which is surprisingly common. However, protein function is so often linked to both homo- and hetero-oligomerization and many heterologous interactions likely evolved from homologous interaction, so this volume also covers many aspects of hetero-oligomerization."

"This book about protein-protein Interactions as drug targets, targeting the MDM2-p53 protein-protein interaction for new cancer therapeutics, the development of small-molecule IAP antagonists for the treatment of cancer, protein-protein interaction targets to inhibit HIV-1 infection, inhibitors of protein-protein interactions paramyxovirus fusion ? a focus on respiratory syncytial virus, rational design strategies for developing synthetic inhibitors of helical protein interfaces, and the discovery of navitoclax, a Bcl-2 family inhibitor."

"The objective of this research was to examine the optimum condition of enzymatic hydrolysis of shark protein by visceratic enzyme and trypsin ...."

"Protein adalah salah satu unsur dalam makanan yang terdiri dari asamasam amino yang mengandung unsur karbon, hidrogen, oksigen, nitrogen, dan belerang. Identifikasi protein selama ini dilakukan dengan menggunakan metode spektroskopi konvensional misalnya spektroskopi UV-Vis dan metode Kjeldhal. Kedua metode ini membutuhkan persiapan sampel yang lama dan rumit, serta biaya yang mahal. Hal ini karena harus dilakukan pemisahan protein dari makromolekul yang lain yang tidak diinginkan dalam analisa. Spektroskopi FTIR (Fourier Transform Infrared) merupakan salah satu metode baku untuk mendeteksi struktur molekul senyawa melalui identifikasi gugus fungsi penyusun senyawa. Identifikasi protein dilakukan dengan menganalisa serapan gugus fungsi dengan Fourier Transform Infrared (FTIR). Penelitian ini bertujuan untuk mengidentifikasi protein dengan FTIR, dan mengenali puncak dari protein. Hasil penelitian menunjukkan bahwa dari ke-empat sampel (keju hewani, keju nabati, susu dan mentega) protein dapat dikenali dengan tiga peak yaitu amida III (1240-1265 cm-1) , amida IV (633-721 cm-1), dan amida VI (551-586 cm-1). Peak untuk amida III mewakili gugus CN stretching dan NH bending, amida IV mewakili gugus OCN bending dan amida VI mewakili gugus out-of plane NH bending. kadar protein relatif per karbonil untuk susu, keju hewani, keju nabati, dan mentega adalah 0,67, 1,37, 2,17, dan 1,70 dengan kadar protein 9,47 %, 19,08 %, 30,67 %, dan 24,03 %.

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Protein is one of the elements in food which consists of amino acids that contain carbon, hydrogen, oxygen, nitrogen, and sulfur. Identification of the protein had been done using conventional spectroscopic methods such as UV-Vis spectroscopy and Kjeldhal methods. Preparation of the sample for both methods were long enough, complicated, and expensive. This was because had to do separation of proteins from other macromolecules that are not desirable in the analysis. FTIR Spectroscopy (Fourier Transform Infra Red) is one of the standard methods for detecting the molecular structure of compound through the identification of functional groups that make up the compound. Identification is done by analyzing the absorption of the functional protein by Fourier Transform Infrared (FTIR). The aims of the research are to identify protein by FTIR, and describe their peaks.

The results of the research show that of four samples (cheese, vegetable cheese, milk, and butter), proteins can be identified by three peaks, that are amide III (1240-1265 cm-1), amide IV (633-721 cm-1), and amide VI (551-586 cm-1). Peak of the amide III represents the CN stretching and NH bending, amide group IV represents the OCN bending, and amide VI represents out-of plane NH bending. Protein relative levels per carbonyl for milk, cheese, vegetable cheese, and butter are 0.67, 1.37, 2.17, and 1.70 with a protein content of 9.47%, 19.08%, 30.67% , and 24.03%."